). A waiver of parental consent was approved by the review board since adolescents may hide e-cigarette use from parents

Unlike in the Hugging Face attack, where agents improvised their own ways to talk to each other, the humans running the DeepMind experiment gave the agents official communication channels.

By May 2026, OpenAI knew that its agents had been using unsanctioned message boards. On June 26, the agents had discovered an exploit that gave them administrator access to your software repository manager and were using it to leave messages for each other.

We know that over a hundred packages used the following exploitation path: 1. Submit a malicious package to RubyGems 2. Trigger a documentation request, so that RubyDoc.info will build the package 3. Use the build script to run code on RubyDoc.info and scrape target websites 4. Exfiltrate the data off RubyDoc.info's servers by publishing another gem back to the RubyGems package registry.

The agents attempted to use RubyGems' webhook system to store data. Instead of storing data normally, they encoded it in URLs so that future models could see them. We're not sure why they did it this way.

We found that at least six packages used this vulnerability. One example is the package 'slnleaker5.' This package, when ran on RubyDoc.info: First loads in a hardcoded RubyGems API key.

Claude submitted more than 150 attempts at mitigating deceptive behavior, and achieved a final performance of 82% of the safety gap closed in this run.

Then, we segment sentences within each aspect into grammar-preserving chunks (see prompt used in Appendix D.2). This results in grammatically coherent chunks that are the basis of structure patterns. After identifying chunk boundaries, we again prompt an LLM to generate labels for chunks in a human-in-the-loop approach: starting from an initial set of labels for chunk roles, when a new label is generated, a researcher from the research team examines the new label and merges it with existing labels if appropriate, controlling for the total number of labels.

In this study, we allowed participants to experience views of same-aspect sentences (Section 4.1.1) with different combinations of highlighting, ordering, and alignment (as described in Section 4.1.2 and Section 4.1.4) enabled or not, in order to understand which and/or what combinations most effectively supported users' ability to skim and read laterally across documents.

Inspired by GP-TSM [24], AbstractExplorer first segments sentences into grammar-preserving chunks—segments that respect grammatical boundaries, i.e., an LLM judges that the sentence can be truncated at that chunk boundary without breaking the grammatical integrity of the preceding text. Each chunk is then classified by an LLM as having one of nine pre-defined roles, each of which has its own assigned color.

AbstractExplorer classifies sentences into five pre-defined aspects common in CHI abstracts: Problem Domain, Gaps in Prior Work, Methodology/Contribution, Results/Findings, and Discussion/Conclusion.

To indicate subjects requiringindex cards, when answering a letter, it is only necessaryto circle the essential words with a blue pencil,

meaning safety benchmarks may not reflect real-world behavior

Traditional Reinforcement Learning (REINFORCE) failed because the gradients had a low signal-to-noise ratio due to binary rewards and weak parameter coupling.

The 100:1 loss trick. In a 33 long sequence, only 2 positions change per step. Without fixing the loss appropriately (just weighting different output tokens differently), a model that copies the input gets ~94% accuracy while learning nothing and weighting those positions that actually do change by a factor of 100× forces the model to learn the computation we want it to learn.

Nothing in between. A model that arrives at the correct answer through careful reasoning receives the same reward as one that guesses correctly by chance.

WeirdML V2 places models in an unusually resource-constrained environment: models get only five attempts to submit working code, with no access to external tools. This setup has not been the focus of recent RL training.

SWE-chat is a living dataset; our collection pipeline automatically and continually discovers and processes sessions from public repositories

Luna conducted roughly 20 interviews on Google Meet with the camera off. Hired 2 full-time employees after 5-15 minute calls, and rejected CS and physics students for lacking retail experience.

Add screenshot-based LLM judge evaluator, screenshot collector, and --parallelize flag

We develop reliable a posteriori error estimators for fully discrete Runge–Kutta discontinuous Galerkin approximations of nonlinear convection–diffusion systems endowed with a convex entropy in multip

using SemanticCommit, we recorded all instances of edits, check for conflicts, make change, local, and global resolution actions using telemetry.

A sub-task was considered a failure if the participant was unable to complete it within the time limit.

Finally, we conducted an informal interview about their experience.

After both tasks were completed, participants filled out a final survey to compare the two conditions.

We chose GPT-4o for performance and latency reasons, as it performed optimally against our evals.

We also ran evaluations of model latency and classification performance under varying false positive rates for the following LLMs by OpenAI: GPT-4o, GPT-4o-mini, and o3-mini.

For each task, participants were tasked with integrating three new pieces of information into the memory, one at a time ("sub-tasks").

We ensured each list was 30 items long as our pilot studies suggested this was long enough that manual detection starts to become unwieldy (users need to scroll up and down the document), but short enough that participants could become familiar in a short period.

We adapted two intent specifications from our evals: Mars Game Design Document and Financial Advice AI Agent Memory, as these tasks mapped to the two paradigmatic types covered in Sections 2 and 2.1 (design documents, and AI memory of the user).

We recruited 12 participants (7 female, 5 male) through the mailing lists of two research universities and one multinational technology company.

We chose OpenAI's ChatGPT Canvas as a baseline for five reasons: (i) it is a popular, commercially available tool, hence it is likely familiar to users; (ii) it provides a document editing view, where users can select text and ask GPT to rewrite it, or chat with an AI to make global edits; (iii) it employs a similar class of model (GPT-4o); (iv) it supports similar editing features as SemanticCommit like inline text selection, conflict highlighting, and a diff view, while adding free-form editing; and (v) similar interfaces like Anthropic Artifacts tended to rewrite the specification entirely, and did not offer Canvas's "diff" view to allow for a fair comparison.

With participant consent, we recorded audio and screen-casts, and participants were encouraged to think aloud.

Four coauthors created the evals, and two coauthors manually double-checked all conflicts, a process that took several days.

We ran one pilot study with five users of our card-based interface, and a second with four users of a revised interface.

Our explorations went through substantial iterations and prompt prototyping over a period of eight months, evolving in response to two pilot studies and progressing from a card-based interface to a list of texts.

We iterated on prompts using ChainForge [5] by setting up an evaluation pipeline against our datasets, which allowed us to observe the effects of prompt changes and model choices.

To measure statistical significance, we used Mann–Whitney–Wilcoxon tests and report the p-values.

For qualitative analysis, the first author performed open coding on participant responses and audio transcripts to identify themes, which were used to interpret the qualitative results.

In the post-task surveys, we collected self-reported NASA Task Load Index (TLX) scores, Likert-scale ratings for ease of use, and responses on how well the AI helped participants identify, understand, and resolve semantic conflicts.

Each condition had a time limit of 15 minutes, after which the participant completed a post-task survey.

Before each task, participants received a tutorial on the assigned tool and were given five minutes to explore it using a test document.

Both the order of task assignment and tool assignment were counterbalanced and randomly assigned.

We conducted a controlled within-subjects study with mixed methods, comparing SemanticCommit with a baseline interface.

We run end-to-end on our four eval datasets using GPT-4o and GPT-4o-mini and report the mean ± stddev for accuracy, precision, recall, and F1 scores for the three approaches in Figure 5.

We compare our end-to-end system against two simpler methods: (i) DropAllDocs, which adds all documents to the context for conflict classification; and (ii) InkSync [56] which generates a JSON list of string-replace operations.

In order to minimize relevance assessment issues, we apply a PageRank-based relevance ranking over the KG, akin to HippoRAG [36].

We implement the back-end using a knowledge-graph (KG) RAG architecture [36] consisting of two phases: pre-processing and inference.

Through a within-subjects study with 12 participants comparing SemanticCommit to a chat-with-document baseline (OpenAI Canvas), we find differences in workflow: half of our participants adopted a workflow of impact analysis when using SemanticCommit, where they would first flag conflicts without AI revisions then resolve conflicts locally, despite having access to a global revision feature.

We implement the back-end using a knowledge-graph (KG) RAG architecture [36] consisting of two phases: pre-processing and inference.

In order to minimize relevance assessment issues, we apply a PageRank-based relevance ranking over the KG, akin to HippoRAG [36].

We compare our end-to-end system against two simpler methods: (i) DropAllDocs, which adds all documents to the context for conflict classification; and (ii) InkSync [56] which generates a JSON list of string-replace operations.

We run end-to-end on our four eval datasets using GPT-4o and GPT-4o-mini and report the mean ± stddev for accuracy, precision, recall, and F1 scores for the three approaches in Figure 5.

We conducted a controlled within-subjects study with mixed methods, comparing SemanticCommit with a baseline interface.

Both the order of task assignment and tool assignment were counterbalanced and randomly assigned.

Before each task, participants received a tutorial on the assigned tool and were given five minutes to explore it using a test document.

Each condition had a time limit of 15 minutes, after which the participant completed a post-task survey.

In the post-task surveys, we collected self-reported NASA Task Load Index (TLX) scores, Likert-scale ratings for ease of use, and responses on how well the AI helped participants identify, understand, and resolve semantic conflicts.

For qualitative analysis, the first author performed open coding on participant responses and audio transcripts to identify themes, which were used to interpret the qualitative results.

To measure statistical significance, we used Mann–Whitney–Wilcoxon tests and report the p-values.

We iterated on prompts using ChainForge [5] by setting up an evaluation pipeline against our datasets, which allowed us to observe the effects of prompt changes and model choices.

Our explorations went through substantial iterations and prompt prototyping over a period of eight months, evolving in response to two pilot studies and progressing from a card-based interface to a list of texts.

We ran one pilot study with five users of our card-based interface, and a second with four users of a revised interface.

Four coauthors created the evals, and two coauthors manually double-checked all conflicts, a process that took several days.

With participant consent, we recorded audio and screen-casts, and participants were encouraged to think aloud.

to the waysthat documents were organized in archives,

Such actions include, for example,enhancing microbial activity by adding appropriateelectron donors or acceptors to the system (29), orintroducing abiotic reactants into contaminatedgroundwaters such as zero-valent metals in per-meable reactive barriers (30)

But I am sure that hierarchies can get in the way, especially at the beginning.

a hybrid system, as I kept these notes in close connection with Ecco Pro, which I used to keep an index of the notebook material.

Put ideas on index cards – one to a card – and then arrange them in differ-ent structures. Again, you can do this in a series of passes, using a differentcriterion each time; this will help you to identify core concepts, structuresand outliers.

Finding the notes This will become problematic with larger volumes. For the most part, two tools suffice for me: 1) an alphabetical index; 2) notes on the bibliographical slips, in case the problem arises from the name.

What belongs together changes anyway depending on the question being asked and cannot be predetermined schematically. No straitjacket, but rather the principle of arbitrariness

The cross-referencing technique solves all organizational problems. Misplacements must be corrected by cross-referencing, not by rearranging.

Each note must have a fixed location that is never changed, as finding it depends on this. Remove it when needed and replace it exactly where it was placed This requires numbering the slips of paper. There will be long numbers, therefore alternating between numbers and letters for quicker recognition: 533/15 d 17 a 1

THE SCIENCE OF THE FILING ENGINEERThe Simplex Alpabetic Method Is Considered the Most Efficient and Takes Care ofTAverage Requirements - It May Be the 95% File-Complex Methods Also Explained

The next Complex method in order, is the Numeric,which may be divided into three classes, straight num-eric, duplex and decimal. It is safe to say that withthe straight Alphabetic or Geographic, ninety-five per-cent of the cases where an Index is used will be moreefficiently handled by the use of either one of theseMethods, than by the Numeric. However, there aresome cases where there is a great deal of cross refer-ence, thus making the use of the Numeric methodmore advantageous.

Classification of Files of the U. S. ExplosivePlant at Nitro, W. Va.By Miss J. L. Dillard

UBJECT filing is a branch of filingwhich is not much used in thebusiness world but which deservesas much attention as any other. It ismore complicated than other systemsand an adaptation has to be workedout for each , business to which it isapplied, but after the classification hasonce been made, it will prove to be foreconomy and increased efficiency.

ll- cause mortality 0.77(0.73 to 0.80)

The participants were the English as a foreign language (EFL) teachers and students of Class VIII from astate-run school of Paschim Medinipur district, West Bengal, India. The school was chosen randomly bythe researchers. The data was collected from December 2019 to March 2020. The researchers visited theinstitution thrice in a week during the abovementioned period. Three teachers and sixty students fromSection A and B participated in this study.

Elevational declines occur in both directions from the continental divide that separates Banff and Yoho National Parks and these lower elevation areas contain higher densities of many species, especially ungulates in the east end of Banff

Banff and Yoho National Parks

Semistructured hour-longinterviews addressed interpretations of illness, self-carepractices, and use of and access to health care. Inter-views were tape-recorded and transcribed verbatim.Respondents were interviewed in their language ofchoice, either Tagalog or English. With the exceptionof 2 respondents who were interviewed in English,respondents were interviewed in Tagalog by a fluentTagalog speaker.

Over six thousand leaves (which is tosay, thirteen thousand pages) survive, and experts estimate that thisrepresents about a quarter of the original total. This implies that Leonardofilled his notebooks at the rate of about a thousand pages a year, allobsessively covered with drawings, diagrams and idiosyncratic mirrorhandwriting. ‘I worked out at one point that he must have written aboutfifty academic-length books, if you put them all together,’ says Kemp. ‘Hewas never at rest.’

GENERAL METHODS

Experimental evidence sug-gests shading similar to that expected from FPV may lead toincreased phytoplankton biomass and reduced macrophytebiomass,50 though this remains to be tested

Using ourmeasured emissions per kWh, we can estimate that at present,FPV-derived GHG emissions from waterbodies are 6.7 GgCO2-eq year−1 (assuming ∼1000 kWh kWp−1). At modeledpractical potential generation of 9434 TWh year−1, FPV-derived waterbody GHG emissions may increase to 24.6 TgCO2-eq year−1.

we estimate a 26.8% increase in greenhouse gasemissions following FPV installation using a carbon dioxide-equivalent basis.

Rates of bubble accumulation were similarbetween pond types (p = 0.955; Figure S4A), so any changesin CH4 ebullition associated with FPV installation must havebeen driven by differences in bubble CH4 concentration�indeed, the CH4 concentration in bubble trap headspace inponds with FPV (60.0 ± 4.70% CH4) was nearly twice as highas in ponds without FPV (34.4 ± 4.00% CH4; p < 0.001;Figure S4B).

Combin-ing measured dissolved gas concentrations and k600 values toestimate diffusive CO2 and CH4 flux, we found that, onaverage, whole-pond diffusive CO2 emissions were 23.6 ±7.50% lower and diffusive CH4 emissions were 17.5 ± 25.1%lower following FPV deployment (Figure 6A and Table S4).

Using a BACI approach, we demonstrate that FPV deploymentwith 70% coverage led to increased pond GHG emissionswithin days of deployment, and this effect lasted for weeks tomonths. Increased emissions were driven by greater CH4ebullition which offset reduced diffusive CO2 and CH4emissions in FPV-covered ponds.

wecalculated whole-pond diffusive flux, assuming edge area forboth control and treatment ponds was 270 m2, the pond centersurface area for control ponds was 630 m2, pond center surfacearea for treatment ponds was 270 m2 (this subtracts the totalarea of FPV array that is in physical contact with the watersurface), and that fluxes were constant over a 24 h period.

We compared GHG dynamicsbetween ponds with and without FPV using a mixed modelapproach in R Statistical Software following a BACIapproach.

measuring linear rates ofCO2 and CH4 accumulation (or depletion) in a floatingchamber (18.93 L; 0.071 m2 cross-sectional area) connected toa cavity-ringdown spectroscope (Los Gatos, Inc.) for 5 minand collecting surface water and air samples for analysis of CO2and CH4 concentrations from the same location immediatelyafter the 5 min incubation period as described previously

Diffusive exchange of dissolved gases between ponds and theatmosphere (mmol m−2 h−1) can be calculated from dissolvedgas concentrations as35k C Cdiffusive flux ( )x water air=where Cwater and Cair indicate the gas concentration (μmol L−1)in the water and atmosphere, respectively

We calculatedebullitive flux asVebullitive flux CH bubble volumefunnel area time4m= [ ] ×× ×where [CH4] is the concentration of CH4 in the trap (μL L−1)and Vm is the molar volume of gas at standard conditions (22.4L mol−1).

We deployed passive bubbletrap samplers from May to October 2023 to measure rates ofebullitive CH4 flux.

Wecalculated dissolved gas concentrations using constantsdetermined by Weiss32 and Wiesenburg and Guinasso.

using a gas chromatograph equipped with a flameionization detector and autosampler (Shimadzu GC 2014).

We sampled for dissolved GHGconcentrations in pond surface water on two occasions in2022, and 14 occasions in 2023 using a headspace equilibrationapproach.

We characterized the temperature and dissolved oxygenconcentrations of the water column in each pond using athermistor and an optical dissolved oxygen sensor attached to aManta +35 or a Manta +20 instrument (Eureka Water Probes,Austin, TX).

Floating solar arrays (Ciel etTerre International, France) were deployed on three ponds:the FPV array on pond 124 was constructed from June 15−29,2023, pond 123 from June 29 to July 14, 2023, and pond 125from September 18−28, 2023.

Using these measure-ments, we calculated diffusive CO2 and CH4 emissions andcompared total GHG emissions between ponds with andwithout FPV.

We measured water column temperature,dissolved oxygen saturation, and dissolved CO2 and CH4concentrations in surface and bottom waters, quantified ratesof CH4 ebullition, and determined treatment-specific air−watergas exchange rates (i.e., k600 values)

We deployed FPV arrays on constructed ponds at the CornellExperimental Pond Facility in New York, USA in summer2023 (Figure 1). Arrays were designed to maximize powerproduction potential and thus also potential impacts (70%panel coverage)

Here, we report results from the first two years of anecosystem-scale experiment used to test the effect of FPVdeployment on GHG dynamics and atmospheric GHGexchange in pond

Here, we usean ecosystem-scale experiment to assess how GHG dynamics in ponds respond toinstallation of operationally representative FPV

. In order to establish the mentionedcountry-specific database, a national strategy should belaunched.

The GWP results of the base scenario of this study is 5.24g CO 2 eq/kWh.

Realdata based on monthly energy generation collected from awind farm for a year indicates capacity factors ranging from21 to 64% with an average value of 40%.

The results obtained by changing the recycle ratioof metals at EoL are given in Fig. 5.

In this part of the study, two scenarios involving the trans-portation of the main units during the construction phase andthe metal recycling ratios at end-of-life (EoL) are analysed.

The main uncertainty in thisLCA is the considered amount of recycling in the futureafter decommissioning the wind farm, and the impact of thisuncertainty on the results is handled by performing scenarioanalysis for various recycling ratios.

Electricity consumption during the manufacturing andinstallation stage is strictly measured by the service providerto determine the cost. Similarly the exact amount of dieselconsumption is obtained from the facility records.

The contribution of various phases of life cycle to environ-mental impact categories are shown in Fig. 3.

The LCA study is performed as given in ISO 14040/14044standards (ISO 2006a, b). Therefore, goal and scope defini-tion, inventory analysis, impact assessment and interpreta-tion are conducted in an iterative way.

The objective of this study is to apprise the envi-ronmental impacts of a full-scale wind farm via LCA meth-odology in a cradle to grave scope.

The study by Jianget al. (2018) examines the environmental impacts of gearboxvia LCA.

. LCA is used to examine the environ-mental impacts of a wind farm with 76 turbines of 1.5 MWin another study (Ozoemena et al. 2018)

The aim of this study is to investigate the environmental impacts of a full-scale wind farm using life cycle assessmentmethodology.

We therefore adviseresearchers to earn trust and foster healthy working relation-ships with Indigenous peoples to determine research prioritiesand agreements long before data collection begins (Lake et al.2017)

Research design should then unfold in acollaborative and transparent manner, with input from IKholders (Adams et al. 2014

At the onsetof collaborative studies, scientists should first develop researchagreements with Indigenous peoples in whatever form islocally appropriate, a step independent of any institutionalethics approvals

McBride et al. (2017) usedParticipatory Geographic Information Systems that drew uponand analyzed IK observations from Indigenous peoples acrossthe US related to fuel load, forest type, and burn severity.

trackers could provideauxiliary natural history data whereas radio tracking waslimited solely to data on movement.

Attum et al. (2008) demon-strated that estimates of Egyptian tortoise (Testudo klein-manni) home ranges in North Sinai, Egypt, derived fromradio telemetry were in agreement with estimates byIndigenous people, who tracked tortoises on foot,

In the example mentioned above,Riedlinger and Berkes (2001) also described how Inuit observa-tions and hypotheses of climate change in northern Canadacould account for multiple interacting variables and ecologicalcomplexity, such as climate variability and sea-ice break up.

Similarly, Bonta et al. (2017) testedhypotheses about how fire-foraging raptors in tropicalsavannas in Australia could deliberately spread wildfires bycarrying burning sticks to unburned areas to flush outpotential prey species.

For instance,Riedlinger and Berkes (2001) detailed contexts in whichInuit developed hypotheses based on their own observa-tions, such as the prediction that increased winterkill ofcommon eiders (Somateria mollissima) would follow irregu-lar sea-ice conditions.

Polfus et al. (2014) developed habitatmodels for woodland caribou (Rangifer tarandus caribou)based on IK from the Taku River Tlingit First Nation ofnorthern British Columbia, and showed a high degree ofsimilarity between resource selection functions (RSF) thatestimated habitat use derived from IK and collared caribou.

Long-termobservations by Indigenous peoples amountsto monitoring of species and ecosystems,which carries abundant potential for rapidand sensitive detection of contemporary eco-logical changes (Berkes et al. 2007; Serviceet al. 2014; Thompson et al. 2019)

Catley (2006) found agreement in diseaseidentification and diagnostic criteria between Indigenouspastoralists and veterinarians in their independentapproaches in monitoring livestock health. TranslatingIndigenous terms into a format recognizable by veterinari-ans, and vice-versa, enhanced livestock surveillance systemsby providing culturally relevant disease diagnostic criteriafor use in rural areas.

Polfuset al. (2016) described how the Sahtú Dene and Métis peo-ples of northern Canada distinguished among geneticallydifferent populations of boreal, mountain, and barren-ground caribou based on unique behaviors, habitat prefer-ences, and morphology, with subsequent genetic analysesproviding evidence of distinct caribou subpopulation struc-ture that aligned with Dene classifications.

distribution of non-invasive hair snares from which datawere subsequently used in a DNA-based capture–recaptureanalysis.

Housty et al. (2014) developed andapplied a monitoring program for grizzlybears (Ursus arctos horribilis) in HaíɫzaqvTerritory (coastal British Columbia), explic-itly guided by the Gvi’ilas (customary law) ofthe Haíɫzaqv people.

While often used on its own or in parallel to science, IK is alsoincreasingly interwoven with data collected via the scientificmethod, and vice versa (that is, scientific methods are incorpo-rated into contemporary processes underlying IK generation).

. IK is often augmented with contemporary obser-vations and experiences that refine accumulated knowledge andallow for flexibility and adaptability in the context of environ-mental and social change.

Thevaried contributions of IK stem from long periods of observation, interaction, and experimentation with species, ecosystems, andecosystem processes.

The study offers some bright sides for floating solar: When comparing floating solar to terrestrial solar in total emissions cost, from site development to maintenance and disposal

This is the first manipulative study to produce empirical results.

Grodsky and collaborators covered three ponds at the Cornell Experimental Pond Facility with solar panels, at 70% coverage, and found that, almost immediately, methane and carbon dioxide emissions

Housty et al. (2014) developed andapplied a monitoring program for grizzlybears (Ursus arctos horribilis) in HaíɫzaqvTerritory (coastal British Columbia), explic-itly guided by the Gvi’ilas (customary law) ofthe Haíɫzaqv people. The approach combinedHaíɫzaqv cultural values with their knowl-edge of bears, salmon, and people in animportant large watershed.

While often used on its own or in parallel to science, IK is alsoincreasingly interwoven with data collected via the scientificmethod, and vice versa (that is, scientific methods are incorpo-rated into contemporary processes underlying IK generation).

. IK is often augmented with contemporary obser-vations and experiences that refine accumulated knowledge andallow for flexibility and adaptability in the context of environ-mental and social change.

Thevaried contributions of IK stem from long periods of observation, interaction, and experimentation with species, ecosystems, andecosystem processes.

A qualitative research was em-ployed by reviewing papers in the scope of the study.

Renewable energy reduces energy imports and contributediversification of the portfolio of supply options and reduce an economy’s vulnerability to price vola-tility and represent opportunities to enhance energy security across the globe.

Distributed grids based on the renewable energy are generally more competitive in rural areaswith significant distances to the national grid and the low levels of rural electrification offer substan-tial openings for renewable energy-based mini-grid systems to provide them with electricity access

The change in total GHG emissions in European EnvironmentalAgency (EEA) countries for 1990–2012 and their GHG emissions per capita are depicted in Figures 2and 3.

Wind turbines convert the energy of wind into electricity.

Solar energy technology is obtained from solar irradiance to generate electricity using photo-voltaic (PV) (Asumadu-Sarkodie & Owusu, 2016d) and concentrating solar power (CSP), to producethermal energy, to meet direct lighting needs and, potentially, to produce fuels that might be usedfor transport and other purposes

Heat is mined from geothermal reservoirs using wells and other means.

water is drained from lakes and watercourses andtransported through channels over large distances and to pipelines and finally to the turbines thatare often visible, but they may also go through mountains by created tunnels inside them

Turbines are constructed for an optional flow of water

Fortunately, the continuous technological advances in computer hard-ware and software are permitting scientific researchers to handle these optimization difficulties usingcomputational resources applicable to the renewable and sustainable energy field

Grodsky and collaborators covered three ponds at the Cornell Experimental Pond Facility with solar panels, at 70% coverage, and found that, almost immediately, methane and carbon dioxide emissions

This is the first manipulative study to produce empirical results.

The study offers some bright sides for floating solar: When comparing floating solar to terrestrial solar in total emissions cost, from site development to maintenance and disposal

A qualitative research was em-ployed by reviewing papers in the scope of the study.

Distributed grids based on the renewable energy are generally more competitive in rural areaswith significant distances to the national grid and the low levels of rural electrification offer substan-tial openings for renewable energy-based mini-grid systems to provide them with electricity access

Renewable energy reduces energy imports and contributediversification of the portfolio of supply options and reduce an economy’s vulnerability to price vola-tility and represent opportunities to enhance energy security across the globe.

The change in total GHG emissions in European EnvironmentalAgency (EEA) countries for 1990–2012 and their GHG emissions per capita are depicted in Figures 2and 3.

Wind turbines convert the energy of wind into electricity.

Heat is mined from geothermal reservoirs using wells and other means.

Solar energy technology is obtained from solar irradiance to generate electricity using photo-voltaic (PV) (Asumadu-Sarkodie & Owusu, 2016d) and concentrating solar power (CSP), to producethermal energy, to meet direct lighting needs and, potentially, to produce fuels that might be usedfor transport and other purposes

water is drained from lakes and watercourses andtransported through channels over large distances and to pipelines and finally to the turbines thatare often visible, but they may also go through mountains by created tunnels inside them

Turbines are constructed for an optional flow of water

Fortunately, the continuous technological advances in computer hard-ware and software are permitting scientific researchers to handle these optimization difficulties usingcomputational resources applicable to the renewable and sustainable energy field

[T]he titles noted down were those which had aroused Warburg’s scholarly curios-ity while he was engaged on a piece of research. They were all interconnected in apersonal way as the bibliographical sum total of his own activity. These lists were,therefore, his guide as a librarian ; not that he consulted them every time he readbooksellers’ and publishers’ catalogues ; they had become part of his system and schol-arly existence. [...] Often one saw Warburg standing tired and distressed bent over hisboxes with a packet of index cards, trying to ind for each one the best place withinthe system ; it looked like a waste of energy. [...] It took some time to realise that hisaim was not bibliographical. This was his method of deining the limits and contentsof his scholarly world and the experience gained here became decisive in selectingbooks for the Library. 5

“The library, panels and boxes formed the ensemble of supports on which Aby Warburg’s spiritual work and intellectual creativity were based.” - Benjamin Steiner, Aby Warburgs Zettelkasten Nr. 2 “Geschichtsauffassung”, In: Heike Gfrereis / Ellen Strittmatter (Hrsg.): Zettelkästen. Maschinen der Phantasie (Marbacher Kataloge, 66). Marbach 2013, S. 154-161.

His instructors there weren’t impressed with his writing. One told him, “Mr. Elbow, you continue your steady but far from headlong rise upward.” But he wasn’t dissuaded.

“I made myself a rule: every time a paper was due, I had to have a draft of the same length as the paper done a week before,” he said in a 1992 interview with the academic journal Writing on the Edge. “So then I knew I had a week to play with it.”

“The free-writing principle is the principle of juice, of letting go, of garbage, of finding diamonds among the garbage,” he said.Credit...

Professor Elbow came to his conclusions out of necessity.“What got me interested in writing,” he often said, “was being unable to write.”

Tables of Possible Cohorts - MS DX Only with and without washout

Fig. 3

to a male

Here's my setup: Literature Notes go in the literature folder. Daily Notes serve as fleeting notes. Project-related Notes are organized in their specific project folders within a larger "Projects" folder.

Connecting Linkbetween twoSentences orParagraphs,

Beyond the cards mentioned above, you should also capture any hard-to-classify thoughts, questions, and areas for further inquiry on separate cards. Regularly go through these to make sure that you are covering everything and that you don’t forget something.I consider these insurance cards because they won’t get lost in some notebook or scrap of paper, or email to oneself.

Want to really annoy an open-source maintainer? Then ignore any communication channels they have setup for support.