24 papers · ranked by Valyu relevance
Vaignana Spoorthy Ella
This paper investigates the use of different transformations for improving the randomness of sequences. In particular, convolutional codes are used for increasing the size of a given sequence and then a random mapping function is used for further randomization. We have shown how such a method can convert highly…
Artis Linars, Ivars Silamikelis, Dita Gudra, Ance Roga + 2 more
'Davids Fridmanis' 'Shawky M. Aboelhadid'] Over the decades, practical biotechnology researchers have aimed to improve naturally occurring proteins and create novel ones. It is widely recognized that coupling protein sequence randomization with various effect screening methodologies is one of the most powerful…
Artis Linars, Ivars Silamikelis, Dita Gudra, Ance Roga + 1 more
Over the decades the improvement of naturally occurring proteins and creation of novel ones has been the primary goal for many practical biotechnology researchers and it is widely recognized that randomization of protein sequences coupled to various effect screening methodologies is one of the most powerful techniques…
Seongjun Seo, Thi Hong Nhung Vu, Anshula Tandon, Suyoun Park + 3 more
DNA is emerging as a promising medium for ultra-dense, long-term digital data storage, yet sequence design remains hindered by homopolymer formation and compositional bias, which compromise synthesis, sequencing, and decoding accuracy. Here, the study introduces a quantitative framework to evaluate and optimize…
Blagovesta Popova, Steffen Schubert, Ingo Bulla, Daniela Buchwald + 2 more
'Wilfried Kramer' 'Tamir Tuller'] A major challenge in gene library generation is to guarantee a large functional size and diversity that significantly increases the chances of selecting different functional protein variants. The use of trinucleotides mixtures for controlled randomization results in superior library…
Vaignana Spoorthy Ella
Good symmetric encryption schemes as well as randomization and hashing techniques are based on effective techniques of confusion and diffusion [1]. Quasigroups provide an excellent way to generate an astronomical number of keys and therefore they are excellent at confusion [2] but they are not equally good at diffusing…
Ognjen Barcot, Matija Boric, Tina Poklepovic Pericic, Marija Cavar + 3 more
Purpose of this study was to analyze adequacy of judgments about risk of bias (RoB) for random sequence generation in Cochrane systematic reviews (CSRs) of randomized controlled trials (RCTs). Information was extracted from RoB tables of CSRs using automated data scraping. We categorized all comments provided as…
Maja Guseva, Carsten Bogler, Carsten Allefeld, Ece Büşra Ziya + 1 more
In some cases, when we are making decisions, the available choices can appear to be equivalent. When this happens, our choices appear not to be constrained by external factors and instead we can believe to be selecting “randomly”. Furthermore, randomness is sometimes even explicitly required by task conditions such as…
Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote + 1 more
'Olaf Grote' 'Hyoungshick Kim'] Randomness plays an important role in data communication as well as in cybersecurity. In the simulation of communication systems, randomized bit sequences are often used to model a digital source information stream. Cryptographic outputs should look more random than deterministic in…
Sindhu Chitikela, Subhash Kak
Pseudorandom sequences that are algorithmically produced have limited cryptographic applications because the eavesdropper can readily generate them. The complexity of the generation process and the lack of correlation amongst the bits (or digits) of the sequence are important in determining the usefulness of a…
Kagari Yamada, Kazushi Tsutsui, Kazutoshi Kudo
Human intuition about randomness is systematically biased. When asked to generate random sequences, people systematically generate too many alternations. At the same time, game-theoretic analyses of competitive interactions prescribe truly random mixed strategies as the unique way to remain unpredictable to an…
Moein Karami, Aryan Soltani Mohammadi, Marcel Martin, Barış Ekim + 6 more
Substrings of length k, commonly referred to as k-mers, play a vital role in sequence analysis, reducing the search space by providing anchors between queries and references. However, k-mers are limited to exact matches between sequences. This has led to alternative constructs, such as spaced k-mers, that can match…
Authors not listed
Sequence is the critical determinant of macromolecular function, yet current polymer design approaches often optimize monomer composition and ratios while ignoring sequence. This creates poorly defined design spaces for active learning that miss the vast combinatorial landscape of sequence possibilities. We introduce…
Osvaldo Skliar, Sherry Gapper, Ricardo E. Monge
A new cryptographic approach – Iterated Random Encryption (IRE) – is presented here. Although it is very simple, and easy to implement, it provides a very high level of security. According to this approach, a sequence of operations applied to a message (M) yields the encrypted message (ME). In that series of…
Ali Abdolrahimi Zarnagh, Ali Motazedifard
Generating reliable random and pseudo-random sequences is important in many electronic and signal processing systems, such as secure communications, radar, spread-spectrum methods, and autonomous platforms. Although true and quantum random number generators provide stronger unpredictability, classical pseudo-random…
Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Denise Engert + 2 more
Recent advancements in the field of communications and cryptology have attracted significant research efforts in studying randomness of bit sequences. Randomised bit sequences play a vital role in sensor applications by ensuring security (i.e., protecting against brute-force, replay, and eavesdropping attacks in…
Marc-André Schulz, Barbara Schmalbach, Peter Brugger, Karsten Witt + 1 more
'Mike B. Gravenor'] In a random number generation task, participants are asked to generate a random sequence of numbers, most typically the digits 1 to 9. Such number sequences are not mathematically random, and both extent and type of bias allow one to characterize the brain's “internal random number generator”. We…
Tim Angelike, Jochen Musch
Whether and how well people can behave randomly is of interest in many areas of psychological research. The ability to generate randomness is often investigated using random number generation (RNG) tasks, in which participants are asked to generate a sequence of numbers that is as random as possible. However, there is…
Marcelo G. Kovalsky, Alejandro Hnilo, Mónica Agüero
Quantum systems are the ultimate touchstone for the production of random sequences of numbers. Spatially spread entangled systems allow the generation of identical random sequences in remote locations. The impossibility of observing a quantum system, without disturbing it, ensures that the messages encoded using these…
Sanjar Adilov
Generative neural networks have shown promising results in de novo drug design. Recent studies suggest that one of the efficient ways to produce novel molecules matching target properties is to model SMILES sequences using deep learning in a way similar to language modeling in natural language processing. In this…
Jérôme Eberhardt, Markus Lill, Torsten Schwede
This study introduces a novel Bayesian Optimization (BO) method to support the design and optimization of bioactive peptide sequences in the context of a fully automated closed-loop Design-Make-Test (DMT) pipeline. Using the major histocompatibility complex class I receptor system as test case, we showed that BO is…
Babu Bassa
In this communication the author describes a software tool named "ChameleonSort". The software program, developed by the present author is useful in the sorting of biological sequence variants like those accumulating mutations while diverging from the common ancestors. Examples include viral protein variants, protein…
Authors not listed
Terminally labeled DNA oligonucleotides have wide applications in modern biology and biotechnological applications. It has been observed that the fluorescent intensity of light released from these fluorescent labels is heavily influenced by the terminal sequence of nucleotides. Recent studies have assayed and published…
Authors not listed
Non-natural, sequence-defined polymers could enable fine-tuning of folding and self-assembly through programmed monomer order, analogous to the behaviour of proteins. However, we are a long way from being able to reliably predict the conformation and aggregation of any arbitrary precision macromolecule.…