Voice - Science topic

Hi,

To begin with, I would suggest amplify U6 from 1ug of cDNA separately (like we normally do for mRNA or non-coding RNA), but use random hexamers.

I have used 200ng of total RNA for upto 3 multiplexed miRNA with excellent results. My reaction mixture (for cDNA) consists of 200ng total RNA, stem-loop primers - 3ul each, Qscript cDNA supermix - 4ul and water to make it upto 20ul.

The reaction cycle is 16-30min, 42-30 min, 85-5 min, 4- hold.

Following cDNA, the qpcr step involves SYBR green - 10ul, miRNA specific forward primer- 2ul, cDNA- 3ul, universal reverse primer - 2ul and dd water - 3ul.

The reaction cycle is standard qPCR with a dissociation curve.

You could look at these publications -

https://www.nature.com/articles/s41598-021-98882-0.

.

You can also contact me directly.

Best

It seems as though non-associative learning is no longer used in the literature on learning theory. However, the term was simply dropped, the issue with it was not tackled head-on to my knowledge. I have noticed that it is a pervasive term in the animal training and dog training world. I am searching for a reference that "puts the nail in the coffin" for this term of non-associative learning. However, everything I have discovered (or been kindly referred to) is of a high level. It seems as though there is a need for a review published in an animal behaviour journal (such as applied animal behaviour science), that debunks the term "non-associative learning" in laymen's terms.

1- How can we identify the molecules if the probabilities are very close and we don't have a lot of information in the literature with which we can compare?

2- Can I compare my results with those of other species of the same family?

3- Can a molecule be observed at 2 different retention times?

4- A few molecules are present on the stems and absent on the leaves, is this normal?

the rate at which the amplitude of a free damped vibration decreases

good luck

I hope this can help

in RVT , i guess you would be using, straw exercises/ semi occluded based exercises in some form...

then thats quite comprehensive.

probably use of glides/ tongue trills in exercises may help too.

Increasing breath support is also important,

“Quantification of Serotonin in Rice and Insect Pest and its Functional Analysis in Insects Using Artificial Diet Feeding“ This a quiet good paper where artificial rearing of stem borer is mention. However the adult part of insect need to rear on rice plan.

Re RNA hairpins. I think it's hard to find a biologically relevant stem of 250 bp + loop, in my experience, you can find shorter hairpins in the mammalian literature, dm for more info.

Dear Naveen Jangir Please check whether following links could serve your purpose; I hope so.

I doubt , any such empirical equation is available , where we can derive the shoot nutrient concentration from leaf nutrient concentration . But , nice question.....

Does lemmatization identify synonyms and link them to same lemma?

Dear White Lily

The error appears to be caused by the fact that the data6 is not of the numeric class. Based on what I understand, you used SCAN and manually entered the values for data6 (which must be numerical). If so, what is the variable data6? And why did you choose data6=data? Data6 overrides whatever value you created in data6 using scan if it is another variable (and must not be a numeric one) and I assume that is why there is a problem. I would be glad to assist further if you need it. Thanks.

i understand from the q, that you are looking for acoustic analysis software.

speech analyzer from SIL, would be an option.

it also has option for annotation.

if video recording and transcription and voice analysis all required then you can look at

elan or phon softwares.

https://www.phon.ca/phon-manual/getting_started.html#:~:text=Phon%20is%20a%20software%20program%20that%20supports%20the,clinical%29%20based%20on%20child%20or%20adult%20language%20data.

Aldefluor is one of the fast method.

Thank you for the question and for the answer. I find them very interesting. Thank you!

Check out the following link, it might be useful for you:

Why is removing stop words not always a good idea

See:

Allison Craven (2013) Heritage enigmatic: The silence of the dubbed in Jedda and The
Irishman, Studies in Australasian Cinema, 7:1, 23-34, DOI: 10.1386/sac.7.1.23_1

Dear Titas De

Try these sites, many types of datasets can help

If you're looking to combine dysphonia and neurolinguistics into a single study, perhaps some study of expressive use/implementation of paralinguistic aspects of language (prosody) in people with dysphonia and/or how any modifications that they make are perceived/processed by listeners?

kindly see:

Climate change impacts the spread potential of wheat stem rust, a significant crop disease

Again it depends on a particular plant species only. Generally, comparatively more BAP induces multiple shoots, and lower BAP elongates the shoots. GA we used for elongation of shoots, generally, it would not help in multiple shoot induction.

A good combination of BAP and the mild auxin generally help in the multiplication and elongation of shoots same time. It saves time, energy, and the cost of production.

I find your research interesting. Now bear in mind that one of the objectives of conducting researches is to prove or support existing theories as well as yield results which are dissimilar to the available published findings and resources. I believe you would want to choose either of these two options.

Done

Hermann Gruenwald Hello Sir, I would appreciate it if you fill out the survey for me. By looking at your experience I believe it will be quite helpful in my research. I also would like to request you, if you know a couple of people, please ask them if they can help out. If you have already completed the survey, I would like to thank you for taking out time from your busy schedule.

Hi,

Please pay attention to these parameters:

...

nFormants = 3

formants = 1

bandwidths = 1

...

Change the 1's with 3's

For transverse section (TS) of leaf. You first describe the CUTICLE. Is cuticle straight or undulating or wavy is it striated or not?. EPIDERMIS, Is epidermis straight or undulating or wavy?. Is it uniserate, biserate or multiserate?. Epidermal cell shape and arrangement, any epidermal appendages like trichome?. MESOPHYLL. Is mesophyll distinguishable in to palisade and spongy or not. If it is not distinguishable describe the type, shape and arrangement of the cells of the mesophyll. If it is distinguishable describe the cells of palisade and spongy separately. Then the MIDRIB, sometimes the features of cuticle and epidermal layer around the midrib may be different from that around the lamina then you have to mention it. The MIDRIB CORTEX- describe the type, shape and the arrangement of the cells of the midrib cortex. VASCULAR BUNDLE- Type of bundle Is all cortical bundle or ridge or both? Is it radial or conjoint? If it radial what type of radial and if it si conjoint what type? ERGASTIC SUBSTANCES- crystals type and location, starch granules shape and location, fat or oil location, tannin etc. All these features are better observed on the Microscope. The photomicrograph is good but not adequate to observe these features.

You need some mechanical action to finish the separation even when bast fiber ribbons have been retted. You could pass the ribbons through fluted rollers; the finer the flutes the better the cleaning job but the lower the capacity. You could put the retted ribbons on a belt or slats with steel pins starting with coarse widely spaced pins and then passing to another pins with slighting finer more closely spaced pins and then to a belt with even finer pins and closer spacing. On top of these belts you have other pined belts that run slightly faster than the lower belts. The upper pins are set so they go between the lower pins. This gives a combing action and will pull apart retted bast bundles. You could also try a coarse garnet machine with very large drum and teeth; followed by one with finer teeth etc. In flax this is done with a "breaker card" followed by a "finisher card".

Dear Radhakrishna Bhandari Modern maize (Zea mays L.) has descended from teosinte (Zea maxicana L.) possibly through a macromutation with pleiotropic effects including preclusion of tillering habit. In cases of early pathogen infection, insect induced or physical damage, "tillering" genes get activated in order to sustain pertetuity of the modern maize. To my opinion, such a phenomenon in modern maize is the relic of tillering ability of its ancestral species.

Best wishes, AKC

If you want to look at the statistical difference between groups when all the work is done, you can do One-Way Anova if you have enough examples.

I finally succeeded in designing the molecular beacon (although this is coming late). I figured that the best way of attaching the Thiazole Orange fluorophore is by attaching it first before completing the stem synthesis. This is because after the stem has been successfully attached, it is a bit rigid for the dye to insert itself into the middle position again.

Thank you !

For todays session

Hi Susana,

thanks a lot for that recommendation. The dentin idea sounds really interesting, I'll see if we can add this to our protocol.

Gracias por la ayuda, espero que nuestros intentos sean buenos.

Beatrice

Perhaps check this link

I used (SC-5279) for IHC and immunofluorescence in human gonad sections, as well as immunofluorescence human ES cells. All the results are excellent I Hope that help you.

Also check https://www.researchgate.net/publication/281527178_Studies_on_the_extraction_of_naturally-occurring_banana_fibers

Hi.

I don't know whether this question is still actual however I'd like to recommend you the Universal Dependency tool, namely, UDPipe: http://lindat.mff.cuni.cz/services/udpipe/. There you can find models for all languages that you need. These models allow performing both morphological and syntactic analysis. I've used them for different Slavic languages in Python, it's working pretty well.

I'm not sure whether "voice over LTE" service, specifically, requires a data channel, but "voice over IP" does. If your voice calls, over a 4G/LTE network, sometimes (but not always) have an associated data channel, then my bet is, those are VoIP telephone calls, where the cell phone is using an IP network, to make the phone call.

When voice calls are made, from an IP network to the standard public switched telephone network (PSTN), or vice versa, there has to be a server involved, to map the PSTN telephone number with the IP address being used by the VoIP side of the connection. This is always needed, whether the call is going out on, or coming into, the IP network.

And it makes sense, right? The standard 10-digit telephone number, or other schemes used in other parts than North America, are not native to IP networks. Something has to do the translation, and something has to provide the steady stream of packets, required to keep that phone connection alive.

If you want to know the details, this RFC 3372 describes the Session Initiation Protocol (SIP), used in the IP end of that phone connection.

SIP-T is not a new protocol - it is a set of mechanisms for interfacing traditional telephone signaling with SIP. The purpose of SIP-T is to provide protocol translation and feature transparency across points of PSTN-SIP interconnection. It intended for use where a VoIP network (a SIP network, for the purposes of this document) interfaces with the PSTN. Using SIP-T, there are three basic models for how calls interact with gateways. Calls that originate in the PSTN can traverse a gateway to terminate at a SIP endpoint, such as an IP phone. Conversely, an IP phone can make a call that traverses a gateway to terminate in the PSTN. Finally, an IP network using SIP may serve as a transit network between gateways - a call may originate and terminate in the PSTN, but cross a SIP-based network somewhere in the middle.

There is a more basic RFC to cover SIP, in general, not necessarily related to telephone calls made over IP networks. RFC 3261:

There are many applications of the Internet that require the creation and management of a session, where a session is considered an exchange of data between an association of participants. The implementation of these applications is complicated by the practices of participants: users may move between endpoints, they may be addressable by multiple names, and they may communicate in several different media - sometimes simultaneously. Numerous protocols have been authored that carry various forms of real-time multimedia session data such as voice, video, or text messages. The Session Initiation Protocol (SIP) works in concert with these protocols by enabling Internet endpoints (called user agents) to discover one another and to agree on a characterization of a session they would like to share. For locating prospective session participants, and for other functions, SIP enables the creation of an infrastructure of network hosts (called proxy servers) to which user agents can send registrations, invitations to sessions, and other requests. SIP is an agile, general-purpose tool for creating, modifying, and terminating sessions that works independently of underlying transport protocols and without dependency on the type of session that is being established.

Hi :)

Sorry. I don't know any dataset about twins' voices.

Acredito que estamos perdendo a guerra do conhecimento, porém a divulgação científica é a ferramenta para mudar isso. O crescimento da negação da ciência é fruto em partes dos trabalhos de pesquisas ficarem imersos na bolha acadêmica. Além disso, é necessário que esse conhecimento chegue nas camadas mais leigas da sociedade, de forma de fácil entendimento, para que as futuras gerações compreendam melhor o método científico e os trabalhos feitos pelos pesquisadores.

Please read this note carefully

In scientific research the writing should be in passive voice.

Why do you want to do such a comparison?

Do you want to convert voice to text, or you just want to do voice recognition?

In case of voice recognition, I would recommend some well-known softwares, like Shazam, Dictate, google assistant...etc.

Also, you can easily modify some free sources codes.

Otherwise, I don't think there is such an app or code that can detect the text from "Quran pronunciation" unless you develop your own.

Tashinga -

I suspect that you are correct. I suspect that many authoritarians use selected and distorted references to constitutions while violating the spirit of their nation's constitution and without being willing to abide by its restrictions. If you have examples from Africa, I think there are plenty elsewhere as well. Donald Trump in the US seems a good example. His damage has been limited by institutions, but they have been greatly weakened and need to be refortified.

This seems all too common.

Best wishes - Jim

For emotion detection I ended up finding this link:

and this survey:

Marechal, C., Mikolajewski, D., Tyburek, K., Prokopowicz, P., Bougueroua, L., Ancourt, C., & Wegrzyn-Wolska, K. (2019). Survey on AI-Based Multimodal Methods for Emotion Detection.

However, I still haven't found anything to detect how engaging the speech is.

Zoom offers a full-featured Basic Plan for free with unlimited meetings. ... Both Basic and Pro plans allow for unlimited 1-1 meetings, each meeting can have a duration of 24 hours maximum. Your Basic plan has a 40 minutes time limit per each meeting with three or more total participants. https://zoom.us/pricing

I appreciate the useful contributions of Ghassan and Sandhya. Thank you very much

Dear Aiswarya Babu ,

If you want to implement AES on FPGA, then you have to write its code in a VHDL language. That is you need to implement the AES algorithm VHDL hardware description language. If you have this description you use the simulation tools to get the RTL logic description. The whole software tool serving all the design steps from VHL to an executable file on FPGS is available from the vendors of the FPFAs such as the XILINIX ISE software tools.

For much more details please follow the data in the link:https://www.xilinx.com/products/design-tools/ise-design-suite.html

Best wishes

Hi Fridolin, Here is a nice paper on the topic out of Algonquin Provincial Park in Ontario, Canada. They looked at how GPS-collared wolf space-use changed in response to human howls. Hope that helps if you have not seen this already!

Pakop Sovo

The 2 likely diseases of cassava are necrosis and anthracnose (the canker, like you called it). And from the close-up view, I would go with your diagnosis (the latter).

Regarding the possible mode of transmission, the anthracnose disease is a fungal one, and is air-borne. The existence of infected stems or leaves is enough to spread the fungal spores, irrespective of whether the infected vegetative part is dead or not. Infected soil could as well be threatening. In your case, wind could have spread the disease during the drought season, if your soil is innocent.

I recommend you completely eradicate (destroy by burning) old/infected stems, and practice shifting cultivation; bearing in mind that the same fungal spp. can attack other crops like paw-paw and pepper.

Kind regards

Isabel,

I know of many studies on when phoneme detectors develop but never thought about your question.

Are we even sure that people perform speaker normalization in the same sense that speech recognition systems do (or at least used to before deep learning)?

Since we do know that one of the early layers of human speech recognition processing produces a sequence of best phoneme guesses, and higher layers can force backtracking to try the next best guesses, it is possible to check psychophysically if there is such a normalization at lower layers by checking the processing speed, and if there is a change in processing speed after normalization takes place.

It is also an interesting question how the speaker recognition and speech recognition processes are related. Do we first recognize the speaker and then apply that speaker's phoneme recognizers? I remember reading a paper a few years ago about recognizing accents before recognizing speech (but can't find the reference).

Another clue is Hearing different accents at home impacts language processing in infants from U Buffalo (www.sciencedaily.com/releases/2017/12/171205104127.htm ) which found that infants exposed to multiple accents before 12 months develop different recognition strategies. See also the JASA reference there and

Linguistic processing of accented speech across the lifespan (www.frontiersin.org/articles/10.3389/fpsyg.2012.00479/full).

Finally Language Discrimination by English-Learning 5-Month-Olds: Effects of Rhythm and Familiarity (labfon.letras.ulisboa.pt/personal/sfrota/aeli/Nazzi_Jusczyk_Johnson_2000.pdf) may be of use.

Would love to hear what you learn!

Y(J)S

Dear Zoltan Simon ,

Thank you so much for your detailed answer and your comments. It is also the same in the academic critical reviews that only repeat those that have been repeated which usually disregards women, and BIPOC scholars (even if the subject matter is about them, hope you will here more in my near future presentation about this; and also in some near future research).

"Who Speaks for History?" Wednesday 23rd September, 6 pm British ST

With Dr Natalya Din-Kariuki, Dr Murat Ogutcu and Eva Momtaz Chaired by Lubaaba Al-Azami

Organised by MEMOs in collaboration with RenSoc.

Thank you once again for your kind reply.

I wish you all the best.

Best regards,

Murat Öğütcü

Good question

Jeff Sedayao Thank you. That's a practical answer.

Dear Muhammad,

You have to understand how this quantiz function works and what exactly are the arguments used for. Your "partition" vector will decide what are the bounds of the quantization grid, and the "codebook" will decide what value to output for every "window" defined in the partition vector, including what value to output when the signal is below the lowest bound and when it's above the highest bound. I think the examples on the link I gave you are pretty much self-explanatory and give a good idea of how it's done. From there, I think this function is pretty versatile and can be used for your purpose. You could, of course, adapt your bounds via the partition vector, according as you said to the dynamic range of your signal.

Dear Salmi, did you try to check if the Multiple Blasthole Fragmentation (MBF) model developed by Ruilin Yang fits to your needs? it is a 3D approach model based on the near-field vibration modeling, where several of the major blast and rock parameters can be addressed (hole and bench 3d geometries, vod and seismic velocities, etc.). He has published several papers about his model:

You can find others of his papers in FRAGBLAST and ISEE proceedings as well.

Regards

What under-resourced or low-resourced means is really something highly subjective. It is not uncommon to see papers in major NLP venues that call languages such as Hindi “low-resourced”. This is a bit problematic as there are severely endangered languages with as few as 200 speakers. And me and my colleagues still manage to do NLP for them, sometimes even by using modern deep learning methods with the little data we have and some savvy approaches in generating more data.

I would say that if a language does not have good NLP tools available or not enough academic annotated data available, it is still not under resourced if we are counting its speakers in millions. There are several data-driven methods for solving different NLP tasks, and more recently we have seen a peak in the number of approaches for using the annotated resources of one language and applying them to another language that just has enough raw text available.

Amharic has some of the core resources in place such as an UD TreeBank (https://github.com/UniversalDependencies/UD_Amharic-ATT/tree/master) and some (small) morphological analysers (https://models.uralicnlp.com/nightly/amh/).

Whether usable off-the-shelf tools exist for Amharic or not is not really a question about the language being under-resourced, but rather just a question of someone crawling data on the web in a savvy way and training some of the existing models for whichever NLP task one seeks to solve.

I did a bit of a timeline in my research you can have a look at my profile.

It's the reality under gender stratified culture and of course men-made culture Dr. Ette Etuk

Actually , casparian strip s conjugated with root , the differentiation in plant growth related with function , that express that stem did not need casparin strips in its function , also the casparian strips effect on lateral transport of water in the stems

1. Teaching from home via ZOOM etc.

2. Learning from home

3. Attending meetings from home

4. Easy online interaction with colleagues

The only way to stop and revese the decay is treating it with Glyzerine under vaccum, thta's how we treated hundreds of pyrite ammonites and plants from the Triassic in the Natural History Museum Basel.

Ther is also a paper about it in the Journal Der Präparator. You can contact Antoine Heitz at the Msuem he might be able to send you a PDF

No worries. Here is the new url: https://www.researchgate.net/publication/341883839_Key_English-Language_Linguistic_Speech_Technical_Considerations_for_AI_Developers_and_ESL-EFL_Teachers-Students.

I started translating it. In fact, the preliminaries are already translated. Follow me and wait until I'm done with each chapter, which will be shared after one is translated.

If you can't wait till then, simply translate it yourself.

Hope I've helped.

José

P.s. I won't be publishing anything about the technological technicalities of Al speech in the near future. But if you need help, feel free to ask.

Please check the link below.