The Pacific Northwest is one of the world's major timber-producing regions, and its capacity to produce wood on a sustained-yield basis is widely recognized. Nonetheless, there has been increasing public interest in assuring that forests are being sustainably managed, as well as a desire by landowners to demonstrate their commitment to responsible stewardship.

Projections of Alaska timber products output, the derived demand for logs and chips, and timber harvest by owner are developed by using a trend-based analysis.

This report traces the flow of Oregon's 2003 timber harvest through the primary timber-processing industry and describes its structure, operations, and condition. Pulp and board, lumber, and plywood and veneer sectors accounted for 96 percent of total industry sales of $6.7 billion. Oregon's 2003 timber harvest of just over 4 billion board feet was 95 percent softwood species; 65 percent of the total was Douglas-fir. As a result of improved technology, lumber overrun increased 32 percent since 1988 to 2.07 board feet lumber tally per board foot Scribner of timber input. Despite decreases in amount of timber harvested, the industry has remained important to Oregon's workforce: average earnings for a worker in Oregon forest products industry was about $50,200; Oregon's average for all industries was $32,400.

Provides current information on lumber and plywood production and prices; employment in the forest industries; international trade in logs, lumber, and plywood; volume and average prices of stumpage sold by public agencies; and other related items.

The Fall River research site in coastal Washington is an affiliate installation of the North American Long-Term Soil Productivity (LTSP) network, which constitutes one of the world's largest coordinated research programs addressing forest management impacts on sustained productivity. Overall goals of the Fall River study are to assess effects of biomass removals, soil compaction, tillage, and vegetation control on site properties and growth of planted Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco). Biomass-removal treatments included removal of commercial bole (BO), bole to 5-cm top diameter (BO5), total tree (TT), and total tree plus all legacy woody debris (TT+). Vegetation control (VC) effects were tested in BO, while soil compaction and compaction plus tillage were imposed in BO+VC treatment. All treatments were imposed in 1999. The preharvest stand contained similar amounts of carbon (C) above the mineral soil (292 Mg/ha) as within the mineral soil to 80- cm depth including roots (298 Mg/ha). Carbon stores above the mineral soil ordered by size were live trees (193 Mg/ha), old-growth logs (37 Mg/ha), forest floor (27 Mg/ha), old-growth stumps and snags (17 Mg/ha), coarse woody debris (11 Mg/ha), dead trees/snags (7 Mg/ha), and understory vegetation (0.1 Mg/ha). The mineral soil to 80-cm depth contained 248 Mg C/ha, and roots added 41 Mg/ha. Total nitrogen (N) in mineral soil and roots (13 349 kg/ha) was more than 10 times the N store above the mineral soil (1323 kg/ha). Postharvest C above mineral soil decreased to 129, 120, 63, and 50 Mg/ha in BO, BO5, TT, and TT+, respectively. Total N above the mineral soil decreased to 722, 747, 414, and 353 Mg/ha in BO, BO5, TT, and TT+, respectively. The ratio of total C above the mineral soil to total C within the mineral soil was markedly altered by biomass removal, but proportions of total N stores were reduced only 3 to 6 percent owing to the large soil N reservoir on site.

On October 18, 2006, a workshop was held in Vancouver, WA, with the title "Managing for wildlife habitat in Westside production forests." The purpose of the workshop was to provide prescriptions and guidelines for people who manage Westside forests (those west of the Cascade Mountains' crest) primarily for wood production, but because of mandate or personal preference, want to integrate wildlife values. The audience included over 150 professionals from forest industry, consulting firms, and public and tribal forest and wildlife management agencies. This proceedings includes ten papers based on oral presentations at the workshop plus a synthesis paper summarizing workshop themes, discussions, and related information. Topics include a history of wildlife management research in the Pacific Northwest, elements of habitat and how to manage for them, the challenges of appropriately implementing ecosystem management, and economic implications to private forestland owners.

National forest lands encompass numerous rural and urban communities. Some national-forest-based communities lie embedded within national forests, and others reside just outside the official boundaries of national forests. The urban and rural communities within or near national forest lands include a wide variety of historical traditions and cultural values that affect their process of economic development. National-forest-based urban and rural communities participate in numerous economic sectors including nontraded industries, resource-dependent traded industries, and non-resource-dependent traded industries. These communities represent microeconomic environments. Cluster theory provides an explicit framework to examine the microeconomic relationships between national forests and their embedded and neighboring communities. Implementation of economic cluster initiatives in national-forest-based communities could improve their overall social well-being through increased competitive advantage based on innovation and higher productivity. This paper proposes establishing an Economic Clusters research team within the Forest Service. This team would dedicate its efforts to the analysis and improvement of the determinants of competitive advantage affecting national-forest-based communities.

Provides current information on lumber and plywood production and prices; employment in the forest industries; international trade in logs, lumber, and plywood; volume and average prices of stumpage sold by public agencies; and other related items.

Provides current information on lumber and plywood production and prices; employment in the forest industries; international trade in logs, lumber, and plywood; volume and average prices of stumpage sold by public agencies; and other related items.

Tables summarize volume and values of United States trade in wood products from 1978 to 2005. Import and export data are shown for 21 commodities aggregated from over 1,700 wood products. Data were obtained from an earlier report by Chmelik and others and the U.S. Department of Commerce, Bureau of the Census. Trade in each commodity is delineated by trading partner and shipments through each of four regional aggregations of U.S. customs districts. Data show that the United States is a net importer of wood products and Canada is the dominant supplier.

We examine the use of woody residues, primarily from forest harvesting or wood products manufacturing operations (and to a limited degree from urban wood wastes), as a feedstock for direct-combustion bioenergy systems for electrical or thermal power applications. We examine opportunities for utilizing biomass for energy at several different scales, with an emphasis on larger scale electrical power generation at stand-alone facilities, and on smaller scale facilities (thermal heating only) such as governmental, educational, or other institutional facilities. We then identify west-wide barriers that tend to inhibit bioenergy applications, including accessibility, terrain, harvesting costs, and capital costs. Finally, we evaluate the role of government as a catalyst in stimulating new technologies and new uses of biomass material.

Provides current information on lumber and plywood production and prices; employment in the forest industries; international trade in logs, lumber, and plywood; volume and average prices of stumpage sold by public agencies; and other related items.

Based on an in-grade testing program, the Ketchikan Wood Technology Center has registered three proprietary grademarks for Alaska species of hemlock (Tsuga heteraphylla (Raf.) Sarg.), yellow-cedar (Chamaecyparis nootkatensis (D. Don) Spach), and spruce (combined Sitka spruce [Picea sitchensis (Bong.) Carr.] and white spruce [Picea glauca (Moench) Voss]). The Ketchikan Wood Technology Center conducted tests to establish glulam beam manufacturing specifications. In conjunction with this program, there is a need to measure the market for glulam beams in Alaska. The purpose of this research was to compare Alaska residential builder adoption rates of glulam beams and other engineered wood products to those of the continental United States. The results showed that a higher percentage of Alaska builders use glulam beams compared with builders in the rest of the United States.

This report traces the flow of timber harvested in Alaska during calendar year 2005, describes the composition and operations of the state's primary forest products industry, and quantifies volumes and uses of wood fiber. Historical wood products industry changes are discussed, as well as trends in timber harvest, production, and sales of primary wood products.

This paper analyzes patterns of forest products trade between Asia and Alaska.

Provides current information on lumber and plywood production and prices; employment in the forest industries; international trade in logs, lumber, and plywood; volume and average prices of stumpage sold by public agencies; and other related items.

Traditionally, there has been a strong forest products trade between Alaska and Asia. This trade relationship has developed owing to Alaska's proximity to Asia and, in the past, an abundance of high-quality timber. Although forest products markets in North America remain soft, markets in Asia are growing. However, to benefit from Asia's growing forest products market, it is important to understand the concepts of global shipping including containerization, intermodal transport, non vessel operating common carriers, and freight forwarders. One key development that could have a major impact on Alaska's forest products trade is the opening of the Port of Prince Rupert (British Columbia) in 2007. The Port of Prince Rupert ships lumber, logs, and wood pellets to Asia and is much closer to southeast Alaska than are the ports of Seattle and Tacoma. The Prince Rupert port is also 1 day closer to Asia. Despite Prince Rupert's proximity to Alaska, however, there is still no regularly scheduled barge service between the Port of Prince Rupert and southeast Alaska. Potential connections that may develop are examined in this paper. This paper also examines the changing concepts of global shipping and how they affect Alaska's forest products industry.

The United States, in partnership with 11 other countries, participates in the Montreal Process. Each country assesses national progress toward the sustainable management of forest resources by using a set of criteria and indicators agreed on by all member countries. Several indicators focus on nontimber forest products (NTFPs). In the United States, permit and contract data from the U.S. Forest Service and the Bureau of Land Management, in addition to several other data sources, were used as a benchmark to assess harvest, value, employment, exports and imports, per capita consumption, and subsistence uses for many NTFPs. The retail value of commercial harvests of NTFPs from U.S. forest lands is estimated at $1.4 billion annually. Nontimber forest products in the United States are important to many people throughout the country for personal, cultural, and commercial uses, providing food security, beauty, connection to culture and tradition, and income.

Provides current information on lumber and plywood production and prices; employment in the forest industries; international trade in logs, lumber, and plywood; volume and average prices of stumpage sold by public agencies; and other related items.

This report traces the flow of Oregon’s 2008 timber harvest through the primary timber processing industry and provides a description of the structure, operation, and condition of Oregon’s forest products industry as a whole. It is the second in a series of reports that update the status of the industry every 5 years. Based on a census conducted in 2009 and 2010, we provide detailed information about the industry in 2008, and discuss historical changes as well as more recent trends in harvest, production, and sales. To convey the severe market and economic conditions that existed in 2008, 2009, and 2010, we also provide updated information on the industry and its inputs and outputs through 2010.

Provides current information on lumber and plywood production and prices; employment in the forest industries; international trade in logs, lumber, and plywood; volume and average prices of stumpage sold by public agencies; and other related items.

This report traces the flow of timber harvested in Alaska during calendar year 2011, describes the composition and operations of the state’s primary forest products industry, and quantifies volumes and uses of wood fiber.

This report traces the flow of California’s 2012 timber harvest through the primary wood products industry and provides a description of the structure, condition, and economic impacts of California’s forest products sector.

This report traces the flow of Oregon's 2013 timber harvest through the primary wood products industry and provides detailed description of the structure, timber use, operations, and condition of Oregon's forest products sector.

Southeast Alaska is a remote area, located approximately 700 miles north of Seattle, Washington. Most of the region’s goods are imported by barge, creating logistical and economic challenges not faced by many other parts of the United States. In this context, we used life cycle assessment (LCA) to evaluate the potential environmental impact on global warming potential (GWP) of converting home heating systems from heating oil to wood pellets in southeast Alaska. Once the current level (status quo) was established, we evaluated imported pellet utilization at 20-, 40- and 100-percent penetration into the residential heating oil markets. We also modeled local production of wood pellets in southeast Alaska, assuming a 20-percent penetration. Our research found that reductions in GWP resulting from the conversion to wood pellets ranged from 10 to 51 percent, with the greatest reductions being associated with the highest levels of imported pellets. The scenario of producing wood pellets in southeast Alaska to meet local needs had a reduction in GWP of 14 percent (versus the status quo).

Study objectives were to evaluate yearly fluctuations in herbage canopy cover and production to aid in defining characteristics of range condition guides. Sites are located in the forested Blue Mountains of central Oregon. They were selected from those used to develop range condition guides where soil, topographic, and vegetation parameters were measured as a characterization of best range condition. Plant community dominants were ponderosa pine/pinegrass, ponderosa pine/bitterbrush/Idaho fescue savanna, low sagebrush/bluebunch wheatgrass, and rigid sagebrush scabland. None of the sites were grazed during the previous 30 years or during the 27-year study. Each location was permanently marked by fence posts, and a meter board was placed 10 m down an established transect line. Photographs (color slides) were taken down the transect with closeups left and right of the meter board. Sampling was limited to August 1-4 each year when canopy cover and herbage production were determined. Both total canopy cover and herbage production varied by about a 2.4-fold difference on each site over the 27 years. Apparently "good range condition" may be something of a "running target" and lacks a well-defined set of parameters. Canopy cover is a poor parameter for characterizing range condition. Three of the four plant communities were dominated by bunchgrasses. Abundance of seedheads is commonly used to indicate good range health. But on these sites, seedheads were not produced about half the time. Because these sites were in "good range condition," lack of seedhead production may indicate maximum competition in the community. Maximum competition and maximum vigor do not seem to be synonymous. These bunchgrass communities varied in their greenness on the first of August each year from cured brown to rather vibrant green suggesting important annual differences in phenology. The pinegrass community, being dominated by rhizomatous species, showed surprising variance in seedhead production. Pinegrass did not flower, but Wheeler's bluegrass, lupine, and Scouler's woolyweed were quite variable, averaging inflorescences only 75 percent of the time.

There is an average 5,400 Google searches for ‘Mrs Hinch Cleaning Tips’ per month

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Google’s offering $340 million in free ad credits during COVID-19. Here’s what you need to know to maximize your efforts and not only survive, but thrive!

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Recent advances in technology have helped both small and large companies to automate their business process to improve productivity. In fact, experts have also emphasized that productivity has stalled over the last couple of years. Numerous large-scale businesses also complained that their productivity was in decline despite implementing innovative workplace guidelines to improve the workflow. […] More

If listeners find themselves using the volume up and down buttons a lot, level differences within your podcast or audio file are too big.
In this article, we are discussing why audio dynamic range processing (or leveling) is more important than loudness normalization, why it depends on factors like the listening environment and the individual character of the content, and why the loudness range descriptor (LRA) is only reliable for speech programs.

Photo by Alexey Ruban.

Why loudness normalization is not enough

Everybody who has lived in an apartment building knows the problem: you want to enjoy a movie late at night, but you're constantly on the edge - not only because of the thrilling story, but because your index finger is hovering over the volume down button of your remote. The next loud sound effect is going to come sooner rather than later, and you want to avoid waking up your neighbors with some gunshot sounds blasting from your TV.

In our previous post, we talked about the overall loudness of a production. While that's certainly important to keep in mind, the loudness target is only an average value, ignoring how much the loudness varies within a production. The loudness target of your movie might be in the ideal range, yet the level differences between a gunshot and someone whispering can still be enormous - having you turn the volume down for the former and up for the latter.

While the average loudness might be perfect, level differences can lead to an unpleasant listening experience.

Of course, this doesn't apply to movies alone. The image above shows a podcast or radio production. The loud section is music, the very quiet section just breathing, and the remaining sections are different voices.

To be clear, we're not saying that the above example is problematic per se. There are many situations, where a big difference in levels - a high dynamic range - is justified: for instance, in a movie theater, optimized for listening and without any outside noise, or in classical music.
Also, if the dynamic range is too small, listening can be tiring.

But if you watch the same movie in an outdoor screening in the summer on a beach next to the crashing waves or in the middle of a noisy city, it can be tricky to hear the softer parts.
Spoken word usually has a smaller dynamic range, and if you produce your podcast for a target audience of train or car commuters, the dynamic range should be even smaller, adjusting for the listening situation.

Therefore, hitting the loudness target has less impact on the listening experience than level differences (dynamic range) within one file!
What makes a suitable dynamic range does not only depend on the listening environment, but also on the nature of the content itself. If the dynamic range is too small, the audio can be tiring to listen to, whereas more variability in levels can make a program more interesting, but might not work in all environments, such as a noisy car.

Dynamic range experiment in a car

Wolfgang Rein, audio technician at SWR, a public broadcaster in Germany, did an experiment to test how drivers react to programs with different dynamic ranges. They monitored to what level drivers set the car stereo depending on speed (thus noise level) and audio dynamic range.
While the results are preliminary, it seems like drivers set the volume as low as possible so that they can still understand the content, but don't get distracted by loud sounds.

As drivers adjust the volume to the loudest voice in a program, they won't understand quieter speakers in content with a high dynamic range anymore. To some degree and for short periods of time, they can compensate by focusing more on the radio program, but over time that's tiring. Therefore, if the loudness varies too much, drivers tend to switch to another program rather than adjusting the volume.
Similar results have been found in a study conducted by NPR Labs and Towson University.

On the other hand, the perception was different in pure music programs. When drivers set the volume according to louder parts, they weren't able to hear softer segments or the beginning of a song very well. But that did not matter to them as much and didn't make them want to turn up the volume or switch the program.

Listener's reaction in response to frequent loudness changes. (from John Kean, Eli Johnson, Dr. Ellyn Sheffield: Study of Audio Loudness Range for Consumers in Various Listening Modes and Ambient Noise Levels)

Loudness comfort zone

The reaction of drivers to variable loudness hints at something that BBC sound engineer Mike Thornton calls the loudness comfort zone.

Tests (...) have shown that if the short-term loudness stays within the "comfort zone" then the consumer doesn’t feel the need to reach for the remote control to adjust the volume.

In a blog post, he highlights how the series Blue Planet 2 and Planet Earth 2 might not always have been the easiest to listen to. The graph below shows an excerpt with very loud music, followed by commentary just at the bottom of the green comfort zone. Thornton writes: "with the volume set at a level that was comfortable when the music was playing we couldn’t always hear the excellent commentary from Sir David Attenborough and had to resort to turning on the subtitles to be sure we knew what Sir David was saying!"

Planet Earth 2 Loudness Plot Excerpt. Colored green: comfort zone of +3 to -5LU around the loudness target. (from Mike Thornton: BBC Blue Planet 2 Latest Show In Firing Line For Sound Issues - Are They Right?)

As already mentioned above, a good mix considers the maximum and minimum possible loudness in the target listening environment.
In a movie theater the loudness comfort zone is big (loudness can vary a lot), and loud music is part of the fun, while quiet scenes work just as well. The opposite was true in the aforementioned experiment with drivers, where the loudness comfort zone is much smaller and quiet voices are difficult to understand.

Hence, the loudness comfort zone determines how much dynamic range an audio signal can use in a specific listening environment.

How to measure dynamic range: LRA

When producing audio for various environments, it would be great to have a target value for dynamic range, (the difference between the smallest and largest signal values of an audio signal) as well. Then you could just set a dynamic range target, similarly to a loudness target.

Theoretically, the maximum possible dynamic range of a production is defined by the bit-depth of the audio format. A 16-bit recording can have a dynamic range of 96 dB; for 24-bit, it's 144 dB - which is well above the approx. 120 dB the human ear can handle. However, most of those bits are typically being used to get to a reasonable base volume. Picture a glass of water: you want it to be almost full, with some headroom so that it doesn't spill when there's a sudden movement, i.e. a bigger amplitude wave at the top.

Determining the dynamic range of a production is easier said than done, though. It depends on which signals are included in the measurement: for example, if something like background music or breathing should be considered at all.
The currently preferred method for broadcasting is called Loudness Range, LRA. It is measured in Loudness Units (LU), and takes into account everything between the 10th and the 95th percentile of a loudness distribution, after an additional gating method. In other words, the loudest 5% and quietest 10% of the audio signal are being ignored. This way, quiet breathing or an occasional loud sound effect won't affect the measurement.

Loudness distribution and LRA for the film 'The Matrix'. Figure from EBU Tech Doc 3343 (p.13).

However, the main difficulty is which signals should be included in the loudness range measurement and which ones should be gated. This is unfortunately often very subjective and difficult to define with a purely statistical method like LRA.

Where LRA falls short

Therefore, only pure speech programs give reliable LRA values that are comparable!
For instance, a typical LRA for news programs is 3 LU; for talks and discussions 5 LU is common. LRA values for features, radio dramas, movies or music very much depend on the individual character and might be in the range between 5 and 25 LU.

To further illustrate this, here are some typical LRA values, according to a paper by Thomas Lund (table 2):

Program	Loudness Range
Matrix, full movie	25.0
NBC Interstitials, Jan. 2008, all together (3:30)	9.4
Friends Episode 16	6.6
Speak Ref., Male, German, SQUAM Trk 54	6.2
Speak Ref., Female, French, SQUAM Trk 51	4.8
Speak Ref., Male, English, Sound Check	3.3
Wish You Were Here, Pink Floyd	22.1
Gilgamesh, Battle of Titans, Osaka Symph.	19.7
Don’t Cry For Me Arg., Sinead O’Conner	13.7
Beethoven Son in F, Op17, Kliegel & Tichman	12.0
Rock’n Roll Train, AC/DC	6.0
I.G.Y., Donald Fagen	3.6

LRA values of music are very unpredictable as well.
For instance, Tom Frampton measured the LRA of songs in multiple genres, and the differences within each genre are quite big. The ten pop songs that he analyzed varied in LRA between 3.7 and 12 LU, country songs between 3.6 and 14.9 LU. In the Electronic genre the individual LRAs were between 3.7 and 15.2 LU. Please see the tables at the bottom of his blog post for more details.

We at Auphonic also tried to base our Adaptive Leveler parameters on the LRA descriptor. Although it worked, it turned out that it is very difficult to set a loudness range target for diverse audio content, which does include speech, background sounds, music parts, etc. The results were not predictable and it was hard to find good target values. Therefore we developed our own algorithm to measure the dynamic range of audio signals.

In conclusion, LRA comparisons are only useful for productions with spoken word only and the LRA value is therefore not applicable as a general dynamic range target value. The more complex a production gets, the more difficult it is to make any judgment based on the LRA.
This is, because the definition of LRA is purely statistical. There's no smart measurement using classifiers that distinguish between music, speech, quiet breathing, background noises and other types of audio. One would need a more intelligent algorithm (as we use in our Adaptive Leveler), that knows which audio segments should be included and excluded from the measurement.

From theory to application: tools

Loudness and dynamic range clearly is a complicated topic. Luckily, there are tools that can help. To keep short-term loudness in range, a compressor can help control sudden changes in loudness - such as p-pops or consonants like t or k. To achieve a good mid-term loudness, i.e. a signal that doesn't go outside the comfort zone too much, a leveler is a good option. Or, just use a fader or manually adjust volume curves. And to make sure that separate productions sound consistent, loudness normalization is the way to go. We have covered all of this in-depth before.

Looking at the audio from above again, with an adaptive leveler applied it looks like this:

Leveler example. Output at the top, input with leveler envelope at the bottom.

Now, the voices are evened out and the music is at a comfortable level, while the breathing has not been touched at all.
We recently extended Auphonic's adaptive leveler, so that it is now possible to customize the dynamic range - please see adaptive leveler customization and advanced multitrack audio algorithms.
If you wanted to increase the loudness comfort zone (or dynamic range) of the standard preset by 10 dB (or LU), for example, the envelope would look like this:

Leveler with higher dynamic range, only touching sections with extremely low or extremely high loudness to fit into a specific loudness comfort zone.

When a production is done, our adaptive leveler uses classifiers to also calculate the integrated loudness and loudness range of dialog and music sections separately. This way it is possible to just compare the dialog LRA and loudness of complex productions.

Assessing the LRA and loudness of dialog and music separately.

Conclusion

Getting audio dynamics right is not easy. Yet, it is an important thing to keep in mind, because focusing on loudness normalization alone is not enough. In fact, hitting the loudness target often has less impact on the listening experience than level differences, i.e. audio dynamics.

If the dynamic range is too small, the audio can be tiring to listen to, whereas a bigger dynamic range can make a program more interesting, but might not work in loud environments, such as a noisy train.
Therefore, a good mix adapts the audio dynamic range according to the target listening environment (different loudness comfort zones in cinema, at home, in a car) and according to the nature of the content (radio feature, movie, podcast, music, etc.).

Furthermore, because the definition of the loudness range / LRA is purely statistical, only speech programs give reliable LRA values that are comparable.
More "intelligent" algorithms are in development, which use classifiers to decide which signals should be included and excluded from the dynamic range measurement.

If you understand German, take a look at our presentation about audio dynamic processing in podcasts for further information:

https://blog.pixelic.io/pixelic-for-figma/

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Let the group $G = AB$ be the product of subgroups $A$ and $B$, and let $p$ be a prime. We prove that $p$ does not divide the conjugacy class size (index) of each $p$-regular element of prime power order $xin Acup B$ if and only if $G$ is $p$-decomposable, i.e. $G=O_p(G) imes O_{p'}(G)$.

Showing items that do not match search query intent degrades customer experience in e-commerce. These mismatches result from counterfactual biases of the ranking algorithms toward noisy behavioral signals such as clicks and purchases in the search logs. Mitigating the problem requires a large labeled dataset, which is expensive and time-consuming to obtain. In this paper, we develop a deep, end-to-end model that learns to effectively classify mismatches and to generate hard mismatched examples to improve the classifier. We train the model end-to-end by introducing a latent variable into the cross-entropy loss that alternates between using the real and generated samples. This not only makes the classifier more robust but also boosts the overall ranking performance. Our model achieves a relative gain compared to baselines by over 26% in F-score, and over 17% in Area Under PR curve. On live search traffic, our model gains significant improvement in multiple countries.

The invention relates to a method for producing nitrobenzene, in which crude nitrobenzene is first produced by nitrating benzene and said crude nitrobenzene is then washed in succession in at least one acid wash, in at least one alkaline wash and in at least one neutral wash, at least one additional wash with an aqueous solution of a potassium salt being interposed between the last alkaline wash and the first neutral wash.

Disclosed herein are processes for preparing an α,ω-Cn-diol, wherein n is 5 or greater, from a feedstock comprising a Cn oxygenate. In one embodiment, the process comprises contacting the feedstock with hydrogen gas in the presence of a catalyst comprising Pt, Cu, Ni, Pd, Pt, Rh, Ir, Ru, or Fe on a WO3 or WOx support. In one embodiment, the process comprises contacting the feedstock with hydrogen in the presence of a catalyst comprising a metal M1 and a metal M2 or an oxide of M2, and optionally a support. In one embodiment, M1 is Pd, Pt, or Ir; and M2 is Mo, W, V, Mn, Re, Zr, Ni, Cu, Zn, Cr, Ge, Sn, Ti, Au, or Co. The Cn oxygenate may be obtained from a biorenewable resource.

Disclosed is a process for preparing an aryloxyalkylene amine compound via an aminoethylation reaction comprising: a) reacting an aromatic hydroxyl compound in the presence of a basic catalyst with a 2-oxazolidinone compound of the formula II to form an intermediate reaction product; wherein R3 is selected from the group consisting of hydrogen or lower alkyl having 1 to 6 carbon atoms, R4 is selected from the group consisting of hydrogen, straight or branched chain alkyl having from one to six carbon atoms, phenyl, alkaryl, or arylalkyl; and b) reacting the intermediate product of step a) with a polyalkylene polyamine.

Processes for continuous preparation of bioproducts are described herein. The processes include contacting fatty acid glycerides with alcohols in the presence of an acidic heterogeneous catalyst and separating the fatty acid alkyl esters from the reaction products.

A process for producing bio-oil from municipal solid waste, the process including: a) liquifying municipal solid waste, to obtain a mixture containing an oily phase containing bio-oil, a solid phase, and a first aqueous phase; b) treating the first aqueous phase from a) with an adsorbing material, to obtain a second aqueous phase; c) fermenting the second aqueous phase from b), to obtain a biomass; d) subjecting the biomass obtained in c) to the liquification a). The bio-oil obtained is advantageously used in the production of biofuels for motor vehicles or for the generation of electric energy or heat.

Bioassays for detecting the ability of one sample of a food substance, nutritional supplement, therapeutic agent and/or disease preventive agent relative to that of a second sample of such a substance, supplement and/or agent to inhibit, upregulate or otherwise modulate translation initiation, and thereby demonstrate a disease curative and/or preventive effect in a human and/or animal that consumes a such substance, supplement and/or agent or to whom a such substance, supplement and/or agent is administered are provided.

A process for the production of bio-oil from solid urban waste, comprising the following steps: a) subjecting said solid urban waste to liquefaction, obtaining a mixture including an oily phase consisting of bio-oil, a solid phase and an aqueous phase; b) subjecting the aqueous phase obtained in the liquefaction step a) to fermentation, obtaining a fermented biomass; c) feeding the fermented biomass obtained in the fermentation step b) to the liquefaction step a). The bio-oil (or bio-crude) thus obtained can be advantageously used in the production of biofuels which can be used as such or mixed with other motor vehicle fuels. Alternatively, this bio-oil (or bio-crude) can be used as such (biocombustible) or mixed with fossil combustibles (combustible oil, coal, etc.) for the generation of electric energy or heat.

Methods and related systems efficiently and effectively recover a significant amount of valuable, useable oil from byproducts formed during a dry milling process used for producing ethanol. The method may include forming a concentrate from the byproduct and recovering oil from the concentrate. The step of forming the concentrate may comprise evaporating the byproduct using a multi-stage evaporator, as well as recovering the oil before the final stage of the evaporator. Further, the step of recovering oil from the concentrate may comprise using a centrifuge and, in particular, a disk stack centrifuge. Other aspects include related methods and subsystems for recovering oil.

Novel compounds of formula (1) wherein: A is especially a linear or branched divalent alkylene radical having between 1 and 10 carbon atoms, and Y is especially a hydrogen atom.

4,6-dichloro-2-methyl-5-(1-acyl-2-imidazolin-2-yl)-aminopyrimidine is reacted with methanol in the presence of a non-ionic organic base, and moxonidine is obtained directly from the reaction mixture.

The invention relates to a polymer product obtained by polymerization of i) at least one monomer selected from N-vinylformamide and vinyl acetate, andii) maleic anhydrideto give a copolymer comprising N-vinylformamide and/or vinyl acetate and maleic anhydride followed by hydrolyzing formamide groups originating from N-vinylformamide to amino groups and/or acetate groups originating from vinyl acetate to hydroxyl groups and acid anhydride to dicarboxylic acid groups to give a water-soluble copolymer comprising amine and/or hydroxyl and carboxyl groups, wherein the molar ratio of the N-vinylformamide and/or vinyl acetate monomer to the maleic anhydride monomer is from 70:30 to 30:70. The polymer product can be used as a dispersing agent or as a scale inhibiting agent.

A rubber composition that can be used in applications such as automotive tires and can improve the fuel efficiency performance and driving stability of automobiles and the like, a method for producing a rubber composition, and a tire using the same are provided. A rubber composition comprising: (A) a conjugated diene rubber which is obtained by polymerizing a conjugated diene compound or polymerizing a conjugated diene compound and an aromatic vinyl compound and has a group having an active hydrogen and a group capable of chemically binding to a silica, (B) a silica, (C) a silane coupling agent (I) capable of reacting with a carbon-carbon double bond of the conjugated diene in the conjugated diene rubber, and (D) a silane coupling agent (II) capable of reacting with the group having an active hydrogen; a method for producing a rubber composition, which comprises mixing the above-mentioned composition; and a tire which is obtained by crosslinking and molding the rubber composition obtained by the method for production.