Model: xplainlp/e5-large-v2-climatecheck
Author: xplainlp
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1110, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:intfloat/e5-large-v2, base_model:finetune:intfloat/e5-large-v2, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: intfloat/e5-large-v2
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1110, loss:MultipleNegativesRankingLoss
base_model: intfloat/e5-large-v2
widget: source_sentence: query: New data shows that sea levels are rising faster than predicted. #ClimateChange #SeaLevelRise
sentences: passage: A chronic difficulty in obtaining reliable climate records from satellites has been changes in instruments, platforms, equator-crossing times, and algorithms. The microwave sounding unit (MSU) tropospheric temperature record has overcome some of these problems, but evidence is presented that it too contains unreliable trends over a 17-yr period (1979–95) because of transitions involving different satellites and complications arising from nonatmospheric signals associated with the surface. The two primary MSU measures of tropospheric temperature contain different error characteristics and trends. The MSU channel 2 record exhibits a slight warming trend since 1979. Its broad vertical weighting function means that the temperature signal originates from throughout the troposphere and part of the lower stratosphere; intersatellite comparisons reveal low noise levels. Off-nadir channel 2 data are combined to provide an adjusted weighting function (called MSU 2R) without the stratospheric signal, but at a cost of an increased influence of surface emissions. Land surface microwave emissions, which account for about 20% of the total signal, depend on ground temperature and soil moisture and are subject to large variations associated with the diurnal cycle. The result is that MSU 2R noise levels are a factor of 3 larger than for MSU 2 and are sufficient to corrupt trends when several satellite records are merged. After allowing for physical differences between the satellite and surface records, large differences remain in temperature trends over the Tropics where there is a strong and deterministic coupling with the surface. The authors use linear regression with observed sea surface temperatures (SSTs) and an atmospheric general circulation model to relate the tropical MSU and surface datasets. These and alternative analyses of the MSU data, radiosonde data, and comparisons between the MSU 2R and channel 2 records, with estimates of their noise, are used to show that the downward trend in tropical MSU 2R temperatures is very likely spurious. Tropical radiosonde records are of limited use in resolving the discrepancies because of artificial trends arising from changes in instruments or sensors;however, comparisons with Australian radiosondes show a spurious downward jump in MSU 2R in mid-1991, which is not evident in MSU 2. Evaluation of reanalyzed tropical temperatures from the National Centers for Environmental Prediction and the European Centre for Medium-Range Weather Forecasts shows that they contain very different and false trends, as the analyses are only as good as the input database. Statistical analysis of the MSU 2R record objectively identifies two stepwise downward discontinuities that coincide with satellite transitions. The first is in mid-1981, prior to which only one satellite was in operation for much of the time so the diurnal cycle was not well sampled. Tropical SST anomalies over these years were small, in agreement with the Southern Oscillation index, yet the MSU 2R values were anomalously warm by ∼0.25°C. The second transition from NOAA-10 to NOAA-12 in mid-1991 did not involve an overlap except with NOAA-11, which suffered from a large drift in its equator-crossing times. MSU 2R anomalies have remained anomalously cold since mid-1991 by ∼0.1°C. Adding the two stepwise discontinuities to the tropical MSU 2R record allows it to be completely reconciled with the SST record within expected noise levels. The statistical results also make physical sense as the tropical satellite anomalies are magnified relative to SST anomalies by a factor of ∼1.3, which is the amplification expected following the saturated adiabatic lapse rate to the level of the peak weighting function of MSU 2R., passage: A chronic difficulty in obtaining reliable climate records from satellites has been changes in instruments, platforms, equator-crossing times, and algorithms. The microwave sounding unit (MSU) tropospheric temperature record has overcome some of these problems, but evidence is presented that it too contains unreliable trends over a 17-yr period (1979–95) because of transitions involving different satellites and complications arising from nonatmospheric signals associated with the surface. The two primary MSU measures of tropospheric temperature contain different error characteristics and trends. The MSU channel 2 record exhibits a slight warming trend since 1979. Its broad vertical weighting function means that the temperature signal originates from throughout the troposphere and part of the lower stratosphere; intersatellite comparisons reveal low noise levels. Off-nadir channel 2 data are combined to provide an adjusted weighting function (called MSU 2R) without the stratospheric signal, but at a cost of an increased influence of surface emissions. Land surface microwave emissions, which account for about 20% of the total signal, depend on ground temperature and soil moisture and are subject to large variations associated with the diurnal cycle. The result is that MSU 2R noise levels are a factor of 3 larger than for MSU 2 and are sufficient to corrupt trends when several satellite records are merged. After allowing for physical differences between the satellite and surface records, large differences remain in temperature trends over the Tropics where there is a strong and deterministic coupling with the surface. The authors use linear regression with observed sea surface temperatures (SSTs) and an atmospheric general circulation model to relate the tropical MSU and surface datasets. These and alternative analyses of the MSU data, radiosonde data, and comparisons between the MSU 2R and channel 2 records, with estimates of their noise, are used to show that the downward trend in tropical MSU 2R temperatures is very likely spurious. Tropical radiosonde records are of limited use in resolving the discrepancies because of artificial trends arising from changes in instruments or sensors;however, comparisons with Australian radiosondes show a spurious downward jump in MSU 2R in mid-1991, which is not evident in MSU 2. Evaluation of reanalyzed tropical temperatures from the National Centers for Environmental Prediction and the European Centre for Medium-Range Weather Forecasts shows that they contain very different and false trends, as the analyses are only as good as the input database. Statistical analysis of the MSU 2R record objectively identifies two stepwise downward discontinuities that coincide with satellite transitions. The first is in mid-1981, prior to which only one satellite was in operation for much of the time so the diurnal cycle was not well sampled. Tropical SST anomalies over these years were small, in agreement with the Southern Oscillation index, yet the MSU 2R values were anomalously warm by ∼0.25°C. The second transition from NOAA-10 to NOAA-12 in mid-1991 did not involve an overlap except with NOAA-11, which suffered from a large drift in its equator-crossing times. MSU 2R anomalies have remained anomalously cold since mid-1991 by ∼0.1°C. Adding the two stepwise discontinuities to the tropical MSU 2R record allows it to be completely reconciled with the SST record within expected noise levels. The statistical results also make physical sense as the tropical satellite anomalies are magnified relative to SST anomalies by a factor of ∼1.3, which is the amplification expected following the saturated adiabatic lapse rate to the level of the peak weighting function of MSU 2R., passage: Sea levels have been rising at an increasing rate in the past decades, due to the increased ocean temperatures and glacier melt caused by global warming. The continued increase in sea levels will result in large-scale impacts in coastal areas as they are submerged by the sea. Locations not able to bear the costs of implementing protection and adaptation measures will have to be abandoned, resulting in social, economic, and environmental losses. The most important mitigation goal for sea level rise is to reduce or possibly revert carbon dioxide (CO2) emissions. However, given the magnitude and long time lag between emissions and impacts, new adaptation measures to reduce sea level rise should be proposed, developed and if possible, implemented. This paper suggests that submerged barriers or dams built in front of ice sheets and glaciers would contribute to reducing the ice melt in Greenland. The ten proposed barriers or dams in this paper could prevent the contribution to sea level rise by up to 5.3 m at a cost of US$ 0.275 billion a year. This is much lower when compared to adaptation measures to sea level rise around the world estimated to be US$ 1.4 trillion a year by 2100., source_sentence: query: Rock weathering acts like a natural air filter, taking CO2 out of the atmosphere. This is another piece of evidence showing how significant CO2 is in driving climate change.
sentences: passage: With the limited fossil fuel resources and aggravating energy crisis, coupled with the concern about the climate change caused by greenhouse gases, many people hope that renewable fuels will be developed as an alternative to fossil fuels, with special attention being paid to bioethanol.1,2 Compared to fossil fuels, biofuels emit less ozone, benzene, carbon dioxide and other harmful pollutants. For a long time, bioethanol has been raising world-wide attention and many researchers are searching for alternative biomass sources for the production of bioethanol, such as corn,4 wood,5 sugarcane6 switch grass,7 rice straw,8 corn straw9 and wheat straw.10 Today, about 30 % of the corn currently grown is used for ethanol production, and more corn is needed to meet the increasing demand for bioethanol.11 The higher amounts of corn turned to biofuel production could have devastating effects on food supply around the world and cause conflicts in the food vs. fuel dilemma. Ethanol production from lignocellulose is a promising alternative but the current technologies for lignocellulose fermentation have to overcome the cost of the complex processes needed to release simple sugars from recalcitrant polysaccharides.12 With limited land area, pretreatment technical difficulties and low conversion rate, much more needs to be done in bioethanol production from lignocellulose. And the increasing need for energy consumption is expected to continue as the world’s population is expected to increase. In order to meet the expected increasing demand for bioethanol, there is a need to find alternative biomass sources, particularly those that do not rely on using large amounts of agricultural land. Marine algae are attractive renewable energy resources due to their abundance, high photosynthetic efficiency and production rate. Algae contain a low concentration of lignin and sugars can be easily released by simple operations such as milling or crushing, so seaweeds are proposed as one of the most promising biomass materials for ethanol production.13 Marine algae are classified into three groups by their colors: green, brown, and red. Brown algae, as the second most abundant marine biomass, have several key features of an ideal feedstock for biofuel production. They do not require arable land, fertilizer, or fresh water, they are of The Isolation and Performance Studies of an Alginate Degrading and Ethanol Producing Strain, passage: Abstract There is clear evidence that human beings have contributed to climate change through their patterns of consumption, and, it could be argued that, since we are part of the problem then we must be part of the solution. The apparently good news is that people report that they have very positive attitudes to environmentally-friendly products and they also consistently say that they are prepared to adapt their behavior to ameliorate the effects of climate change. However, numerous studies have found little behavior change on the part of consumers. This study investigates this critical issue experimentally. It does this by exploring whether self-reported attitudes to low carbon products, or alternatively implicit attitudes to such products (measured using an associative task and not requiring self-report), predict consumer choice of products varying on a range of dimensions including environmental consequences, in an experimental context where time for selection was also systematically varied. We found firstly, in line with previous research, that human beings have explicit and implicit attitudes that are not correlated. Secondly, in terms of brand choice, we found that consumers are particularly sensitive to both brand information and value in their selection of products, particularly under time pressure. Organic/eco brands are, however, much less favoured, especially under any time pressure, where processes that are more automatic prevail. Thirdly, color-coded carbon footprint information can influence choice even under time pressure but only for those consumers with a strong positive implicit attitude to carbon footprint. The conclusions from this research are that humans beings may well have a “divided self” when it comes to the environment and climate change, and this underlying “dissociation” in attitude (implicit versus explicit) might be critical to their behavior as consumers. This concept of the“divided self” may help us understand why relatively little has changed thus far with regard to more sustainable consumption, but might open up new lines of enquiry about how we might attempt to promote more sustainable consumption in the future., passage: The chemical weathering of Ca-Mg silicate rocks is the principal process whereby CO2 is removed from the atmosphere on long or multimillion-year time scales. At present vascular land plants exert an important influence on weathering by recycling water and by bringing about the secretion of acids and the buildup of high levels of CO2 in soils. Before the spread of vascular plants on the continents during the mid-Paleozoic, chemical weathering must have been achieved by higher levels of atmospheric CO2 and/or by the intercession of primitive land biota such as lichens and cyanobacteria. From examination of several pre-vascular weathering scenarios, it is concluded that in order to prohibit unreasonably high levels of atmospheric CO2, weathering during the Precambrian and early Paleozoic must have taken place under essentially closed-system abiotic conditions (linear feedback) or via strong regulation by primitive biota. Preliminary examination of modern weathering by lichens over tens to thousands of years militates against the latter possibility. However, much more work needs to be done on the quantitative effect of both primitive biota and vascular plants on the rate of weathering (and their response to changes in atmospheric CO2) before anything more definitive can be said., source_sentence: query: New data suggests that Australia's temps have only risen by 0.3 degrees over the last 100 years, much lower than the 1 degree usually cited.
sentences: passage: Abstract December through February 2015–2016 defines the warmest winter season over the Arctic in the observational record. Positive 2 m temperature anomalies were focused over regions of reduced sea ice cover in the Kara and Barents Seas and southwestern Alaska. A third region is found over the ice‐covered central Arctic Ocean. The period is marked by a strong synoptic pattern which produced melting temperatures in close proximity to the North Pole in late December and anomalous high pressure near the Taymyr Peninsula. Atmospheric teleconnections from the Atlantic contributed to warming over Eurasian high‐latitude land surfaces, and El Niño‐related teleconnections explain warming over southwestern Alaska and British Columbia, while warm anomalies over the central Arctic are associated with physical processes including the presence of enhanced atmospheric water vapor and an increased downwelling longwave radiative flux. Preconditioning of sea ice conditions by warm temperatures affected the ensuing spring extent., passage: Abstract El Niño–Southern Oscillation (ENSO) in a century-long integration of a Bureau of Meteorology Research Centre (BMRC) coupled general circulation model (CGCM) drives rainfall and temperature changes over Australia that are generally consistent with documented observational changes: dry/hot conditions occur more frequently during El Niño years and wet/mild conditions occur more frequently during La Niña years. The relationship between ENSO [as measured by Niño-4 or the Southern Oscillation index (SOI), say] and all-Australia rainfall and temperature is found to be nonlinear in the observations and in the CGCM during June–December: a large La Niña sea surface temperature (SST) anomaly is closely linked to a large Australian response (i.e., Australia usually becomes much wetter), whereas the magnitude of an El Niño SST anomaly is a poorer guide to how dry Australia will actually become. Australia tends to dry out during El Niño events, but the degree of drying is not as tightly linked to the magnitude of the El Niño SST anomaly. Nonlinear or asymmetric teleconnections are also evident in the western United States/northern Mexico. The implications of asymmetric teleconnections for prediction services are discussed. The relationship between ENSO and Australian climate in both the model and the observations is strong in some decades, but weak in others. A series of decadal-long perturbation experiments are used to show that if these interdecadal changes are predictable, then the level of predictability is low. The model’s Interdecadal Pacific Oscillation (IPO), which represents interdecadal ENSO-like SST variability, is statistically linked to interdecadal changes in ENSO’s impact on Australia during June–December when ENSO’s impact on Australia is generally greatest. A simple stochastic model that incorporates the nonlinearity above is used to show that the IPO [or the closely related Pacific Decadal Oscillation (PDO)] can appear to modulate ENSO teleconnections even if the IPO–PDO largely reflect unpredictable random changes in, for example, the relative frequency of El Niño and La Niña events in a given interdecadal period. Note, however, that predictability in ENSO-related variability on decadal time scales might be either underestimated by the CGCM, or be too small to be detected by the modest number of perturbation experiments conducted. If there is a small amount of predictability in ENSO indices on decadal time scales, and there may be, then the nonlinearity described above provides a mechanism via which ENSO teleconnections could be modulated on decadal time scales in a partially predictable fashion., passage: Abstract. The emphasis for informing policy makers on future sea-level rise has been on projections by the end of the 21st century. However, due to the long lifetime of atmospheric CO2, the thermal inertia of the climate system and the slow equilibration of the ice sheets, global sea level will continue to rise on a multi-millennial timescale even when anthropogenic CO2 emissions cease completely during the coming decades to centuries. Here we present global sea-level change projections due to the melting of land ice combined with steric sea effects during the next 10 000 years calculated in a fully interactive way with the Earth system model of intermediate complexity LOVECLIMv1.3. The greenhouse forcing is based on the Extended Concentration Pathways defined until 2300 CE with no carbon dioxide emissions thereafter, equivalent to a cumulative CO2 release of between 460 and 5300 GtC. We performed one additional experiment for the highest-forcing scenario with the inclusion of a methane emission feedback where methane is slowly released due to a strong increase in surface and oceanic temperatures. After 10 000 years, the sea-level change rate drops below 0.05 m per century and a semi-equilibrated state is reached. The Greenland ice sheet is found to nearly disappear for all forcing scenarios. The Antarctic ice sheet contributes only about 1.6 m to sea level for the lowest forcing scenario with a limited retreat of the grounding line in West Antarctica. For the higher-forcing scenarios, the marine basins of the East Antarctic Ice Sheet also become ice free, resulting in a sea-level rise of up to 27 m. The global mean sea-level change after 10 000 years ranges from 9.2 to more than 37 m. For the highest-forcing scenario, the model uncertainty does not exclude the complete melting of the Antarctic ice sheet during the next 10 000 years., source_sentence: query: It's not just the heat, it's the changing climate. Studies are showing a connection between climate change and the NSW bushfires, highlighting the urgency of climate action.
sentences: passage: In his News and Analysis piece reporting on the newly released fifth assessment report (AR5) by Working Group I (WGI) of the Intergovernmental Panel on Climate Change (IPCC) (“A Stronger IPCC Report,” 4 October, p. [23][1]), R. A. Kerr highlights three fundamental conclusions about climate change that were assessed with equal or greater confidence than in previous IPCC reports. He also points to three “contentious points” on which he states that the AR5 “took a moderate line.” Kerr includes sea-level projections among these points, and reports “a rise of 40 to 60 centimeters by late in the century and a worst case of 1 meter by 2100, [which is] higher than in 2007 but far below the meter or two of sea-level rise that some expect.”

As the authors of the IPCC WGI AR5 chapter on “Sea-Level Change,” we wish to clarify that for the highest emission scenario considered (RCP8.5), the AR5 reported a “likely” range of 0.45 to 0.82 m for sea-level projections for the late 21st century (average over 2081 to 2100) and of 0.52 to 0.98 m by 2100. The difference in sea level between these two periods is large because in 2081 to 2100, the “likely” rate of rise is 8 to 16 mm per year, which is up to about 10 times the average rate of rise during the 20th century.

In the calibrated uncertainty language of the IPCC, this assessed likelihood means that there is roughly a one-third probability that sea-level rise by 2100 may lie outside the “likely” range. That is, the AR5 did not exclude the possibility of higher sea levels. However, we concluded that sea levels substantially higher than the “likely” range would only occur in the 21st century if the sections of the Antarctic ice sheet that have bases below sea level were to collapse. We determined with medium confidence that “this additional contribution would not exceed several 10ths of a meter of sea-level rise during the 21st century.” We could not define this possible contribution more precisely because “there is currently insufficient evidence to evaluate the probability of specific levels above the assessed ‘likely’ range.”

The upper boundary of the AR5 “likely” range should not be misconstrued as a worst-case upper limit, as was done in Kerr's story as well as elsewhere in the media and blogosphere. For policy and planning purposes, it may be necessary to adopt particular numbers as an upper limit, but according to our assessment, the current state of scientific knowledge cannot give a precise guide.

![Figure][2] 

CREDIT: ANDREW MANDEMAKER/WIKIMEDIA COMMONS

 [1]: /lookup/doi/10.1126/science.342.6154.23-b
 [2]: pending:yes, passage: Abstract. Polar sea ice is one of the Earth's climate components that has been significantly affected by the recent trend of global warming. While the sea ice area in the Arctic has been decreasing at a rate of about 4 % per decade, the multi-year ice (MYI), also called perennial ice, is decreasing at a faster rate of 10 %–15 % per decade. On the other hand, the sea ice area in the Antarctic region was slowly increasing at a rate of about 1.5 % per decade until 2014, and since then it has fluctuated without a clear trend. However, no data about ice type areas are available from that region, particularly for MYI. Due to differences in the physical and crystalline structural properties of sea ice and snow between the two polar regions, it has become difficult to identify ice types in the Antarctic. Until recently,no satellite retrieval scheme was ready to monitor the distribution and temporal development of Antarctic ice types, particularly MYI, throughout the freezing season and on timescales of several years. In this study, we have adapted a method for retrieving Arctic sea ice types and partial concentrations using microwave satellite observations to fit the Antarctic sea ice conditions. The core of the retrieval method is a mathematical scheme that needs empirical distributions of the microwave brightness temperature and backscatter input parameters for the different ice types. The first circumpolar, long-term time series of Antarctic sea ice types (MYI, first-year ice, and young ice) is being established, and so far covers the years 2013–2021. Qualitative comparison with (a) synthetic aperture radar data, (b) charts of the development stage of the sea ice, and (c) the Antarctic polynya distribution data show that the retrieved ice types, in particular the MYI, are reasonable. Although there are still some shortcomings, the new retrieval allows insight into the interannual evolution and dynamics of Antarctic sea ice types for the first time. The current time series can in principle be extended backwards to start in the year 2002 and can be continued with current and future sensors., passage: Weather conditions conducive to extreme bushfires are becoming more frequent as a consequence of climate change.1 Such fires have substantial social, ecological, and economic effects, including the effects on public health associated with smoke, such as premature mortality and exacerbation of cardiorespiratory conditions.2,3 During the final quarter of 2019 and the first of 2020, bushfires burned in many forested regions of Australia, and smoke affected large numbers of people in New South Wales, Queensland, the Australian Capital Territory and Victoria. The scale and duration of these bushfires was unprecedented in Australia. We undertook a preliminary evaluation of the health burden attributable to air pollution generated by bushfires during this period., source_sentence: query: Turns out, sea levels haven't been rising any faster in the last 120 years. #ClimateAction #Sustainability
sentences: passage: Recent years have witnessed a growing recognition of the link between emissions of carbon dioxide (CO{sub 2}) and changes in the global climate. of all anthropogenic activities, energy production and use generate the single largest portion of these greenhouse gases. Although developing countries currently account for a small share of global carbon emissions, their contribution is increasing rapidly. Due to the rapid expansion of energy demand in these nations, the developing world's share in global modern energy use rose from 16 to 27 percent between 1970 and 1990. If the growth rates observed over the past 20 years persist, energy demand in developing nations will surpass that in the countries of the Organization for Economic Cooperation and Development (OECD) early in the 21st century. The study seeks to examine the forces that galvanize the growth of energy use and carbon emissions, to assess the likely future levels of energy and CO{sub 2} in selected developing nations and to identify opportunities for restraining this growth. The purpose of this report is to provide the quantitative information needed to develop effective policy options, not to identify the options themselves. A combined study was carried out for the countries of the Gulf Cooperationmore » Council (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates).« less, passage: Abstract. Alteration of natural environment in the wake of global warming is one of the most serious issues, which is being discussed across the world. Over the last 100 years, global sea level rose by 1.0–2.5 mm/y. Present estimates of future sea-level rise induced by climate change range from 28 to 98 cm for the year 2100. It has been estimated that a 1-m rise in sea-level could displace nearly 7 million people from their homes in India. The climate change and associated sea level rise is proclaimed to be a serious threat especially to the low lying coastal areas. Thus, study of long term effects on an estuarine region not only gives opportunity for identifying the vulnerable areas but also gives a clue to the periods where the sea level rise was significant and verifies climate change impact on sea level rise. Multi-temporal remote sensing data and GIS tools are often used to study the pattern of erosion/ accretion in an area and to predict the future coast lines. The present study has been carried out in the Indian Sundarbans area. Major land cover/ land use classes has been delineated and change analysis of the land cover/ land use feature was performed using multi-temporal satellite images (Landsat MSS, TM, ETM+) from 1973 to 2010. Multivariate GIS based analysis was carried out to depict vulnerability and its trend, spatially. Digital Shoreline change analysis also was attempted for two islands, namely, Ghoramara and Sagar Islands using the past 40 years of satellite data and validated with 2012 Resourcesat-2 LISS III data., passage: With the limited fossil fuel resources and aggravating energy crisis, coupled with the concern about the climate change caused by greenhouse gases, many people hope that renewable fuels will be developed as an alternative to fossil fuels, with special attention being paid to bioethanol.1,2 Compared to fossil fuels, biofuels emit less ozone, benzene, carbon dioxide and other harmful pollutants. For a long time, bioethanol has been raising world-wide attention and many researchers are searching for alternative biomass sources for the production of bioethanol, such as corn,4 wood,5 sugarcane6 switch grass,7 rice straw,8 corn straw9 and wheat straw.10 Today, about 30 % of the corn currently grown is used for ethanol production, and more corn is needed to meet the increasing demand for bioethanol.11 The higher amounts of corn turned to biofuel production could have devastating effects on food supply around the world and cause conflicts in the food vs. fuel dilemma. Ethanol production from lignocellulose is a promising alternative but the current technologies for lignocellulose fermentation have to overcome the cost of the complex processes needed to release simple sugars from recalcitrant polysaccharides.12 With limited land area, pretreatment technical difficulties and low conversion rate, much more needs to be done in bioethanol production from lignocellulose. And the increasing need for energy consumption is expected to continue as the world’s population is expected to increase. In order to meet the expected increasing demand for bioethanol, there is a need to find alternative biomass sources, particularly those that do not rely on using large amounts of agricultural land. Marine algae are attractive renewable energy resources due to their abundance, high photosynthetic efficiency and production rate. Algae contain a low concentration of lignin and sugars can be easily released by simple operations such as milling or crushing, so seaweeds are proposed as one of the most promising biomass materials for ethanol production.13 Marine algae are classified into three groups by their colors: green, brown, and red. Brown algae, as the second most abundant marine biomass, have several key features of an ideal feedstock for biofuel production. They do not require arable land, fertilizer, or fresh water, they are of The Isolation and Performance Studies of an Alginate Degrading and Ethanol Producing Strain
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy
model-index: name: SentenceTransformer based on intfloat/e5-large-v2
results: task: type: triplet
name: Triplet
dataset: name: claims abstracts dev
type: claims-abstracts-dev
metrics: type: cosine_accuracy
value: 0.970588207244873
name: Cosine Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: claims abstracts test
type: claims-abstracts-test
metrics: type: cosine_accuracy
value: 0.970588207244873
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 25
Created: 2025-05-14 12:34:52