Digital Sequences Research Articles

Biodiversity and the Digital Transformation

Taking the regime established by the Convention on Biological Diversity as a foundation, the purpose of this article is twofold. First, it examines how the international biodiversity regime integrates the private property paradigm into its toolbox for conservation and sustainability and then critically evaluates the shortcomings of the intellectual property mechanism. Second, it argues that the increasing ubiquity of open access emerging technologies should lead the international community to carefully assess the benefits for conservation research of reverting to a framework that places biodiversity within the global commons. The impasse between global commons advocates and the intellectual property status quo obscures the underlying problematic of the “commodity fiction” of biodiversity and increasing use of digital sequence information likely exacerbates power asymmetries. One remedy explored here is an alternative to these two approaches that dislodges rather than discards the concept of private property. Drawing inspiration from Polanyi and building on May (2010), the article shows how a hybrid approach bridging a public and private conception of genetic resources and traditional knowledge could more effectively and equitably distribute benefits to countries and communities providing resources of value to industry.

The Future of Access and Benefit-Sharing: What Next after the Adoption of the Global Biodiversity Framework and Decision on Digital Sequence Information?

Recent decisions at the Convention on Biological Diversity's (CBD) 15th Conference of the Parties (COP15) on access and benefit-sharing (ABS) fundamentally shift how ABS will work in the future. The key ABS challenges that now lie ahead will be to integrate digital sequence information into a functioning benefit-sharing mechanism compatible with the Nagoya Protocol, to address the difficult task of measuring benefit-sharing now required by the Global Biodiversity Framework, and ultimately to address the long-term challenges of the Nagoya Protocol’s bilateral ABS approach. The relevant COP15 decisions do not provide simple and quick answers to these challenges. However, they do lay the groundwork for change and could form the basis for the further development of effective access and benefit-sharing.

Lesion network guided delta frequency neuromodulation improves cognition in patients with psychosis spectrum disorders: A pilot study

BackgroundTranscranial electric stimulation (tES) may improve cognition in psychosis spectrum disorders. However, few studies have used novel tES approaches, such as high definition tES (HD-tES) to target specific brain circuits. Recently, the extrastriate visual cortex (V5/MT) has been causally linked to visual hallucinations through lesion network mapping and this may be a promising approach for improving cognition. ObjectiveWe aim to determine if causal lesion network guided HD-tES to V5/MT improves cognitive performance as measured by the Brief Assessment of Cognition in Schizophrenia (BACS). MethodsA single-blind pilot study with a within-subjects crossover design was performed to characterize the effect of cathodal HD-transcranial direct current stimulation (tDCS) and 2 Hz HD-transcranial alternating current stimulation (tACS) on cognition. Enrolled patients received 20 mins of HD-tES twice daily for 5 consecutive days applied bilaterally to V5/MT with a washout between conditions. BACS assessments were performed at baseline, day-5, and 1-month. Results6 participants with psychosis spectrum disorder were enrolled. 6 individuals received cathodal HD-tDCS. 4 individuals received 2 Hz HD-tACS. HD-tACS resulted in significant (p < 0.1 baseline to 1-month improvements for Digit Sequencing, Verbal Fluency, and Tower of London. HD-tDCS did not result in significant improvement on any task. ConclusionsHD-tACS targeting V5/MT may be a promising treatment to improve cognitive abilities in individuals with psychosis. By promoting delta oscillations, tACS may enhance cortico-cortico communications across brain networks to improve verbal working memory, processing speed, and executive function. Large-scale investigations are needed to replicate these results.

Genome editing to re-domesticate and accelerate use of barley crop wild relatives

Climate change threatens global food security, but the biggest impact will be in arid, low social-economic regions. To improve food security, new breeding technologies (NBTs) could be implemented for re-domestication of crop wild relatives (CWR). CWR harbor many beneficial traits, but it is difficult to incorporate these traits into conventional breeding programs. Thus, although genebanks hold significant collections of CWR, their potential has yet to be reached. Using barley as an example, we describe how using genebank collections, digital sequence information and NBTs, re-domesticated barley can be produced with improved characteristics, while retaining the resilience and adaptation of the original material. Lastly, we highlight some obstacles that need to be overcome for re-domesticates to be adopted.

Entropy-based explanations of serial position and learning effects in ordinal responses to word list tests

Measuring a person’s cognitive abilities, such as memory and learning, is central in many medical conditions to reliably diagnose, treat and monitor disease progression. Common tests typically include tasks of recalling sequences of blocks, digits or words. Recalling a word list is affected by so-called serial position effects (SPE), meaning that words at the beginning or end of the list are more likely to be recalled. In our earlier work, as part of including ordinal and nominal properties in metrology, compensation for ordinality in the raw test scores has been performed with psychometric Rasch measurement theory. Thereafter, SPE have been successfully explained with construct specification equations (CSE) dominated by information theoretical entropy as candidate reference measurement procedures. Here, we present how previous German results for explaining memory difficulty in the immediate recalling (IR, trial 1) task of the Rey’s Auditory Verbal Learning Test (RAVLT) can be replicated with a Swedish cohort (the Gothenburg Mild Cognitive Impairment study, n = 251). This CSE replicability for RAVLT demonstrates comparability across the two cohorts in a kind of inter-laboratory study. Moreover, RAVLT includes repeated trials and learning through practice is expected. How memory task difficulty changes over the eight trials in RAVLT is studied: SPE are not so prominent for the delayed recalling sequences and there is an overall reduction in the task difficulty CSE intercept with trial number, interpreted as an effect of learning. To conclude, the methodology and evidence provided here can be clinically used not only to measure a person’s memory ability but also his or her learning ability, as well as understanding the relationship between learning ability and other cognitive domains.

The significance of structural rich club hubs for the processing of hierarchical stimuli.

The brain's structural network follows a hierarchy that is described as rich club (RC) organization, with RC hubs forming the well-interconnected top of this hierarchy. In this study, we tested whether RC hubs are involved in the processing of hierarchically higher structures in stimulus sequences. Moreover, we explored the role of previously suggested cortical gradients along anterior-posterior and medial-lateral axes throughout the frontal cortex. To this end, we conducted a functional magnetic resonance imaging (fMRI) experiment and presented participants with blocks of digit sequences that were structured on different hierarchically nested levels. We additionally collected diffusion weighted imaging data of the same subjects to identify RC hubs. This classification then served as the basis for a region of interest analysis of the fMRI data. Moreover, we determined structural network centrality measures in areas that were found as activation clusters in the whole-brain fMRI analysis. Our findings support the previously found anterior and medial shift for processing hierarchically higher structures of stimuli. Additionally, we found that the processing of hierarchically higher structures of the stimulus structure engages RC hubs more than for lower levels. Areas involved in the functional processing of hierarchically higher structures were also more likely to be part of the structural RC and were furthermore more central to the structural network. In summary, our results highlight the potential role of the structural RC organization in shaping the cortical processing hierarchy.

Analysis and Synthesis of Digital Dyadic Sequences

We explore the space of matrix-generated (0, m , 2)-nets and (0, 2)-sequences in base 2, also known as digital dyadic nets and sequences. In computer graphics, they are arguably leading the competition for use in rendering. We provide a complete characterization of the design space and count the possible number of constructions with and without considering possible reorderings of the point set. Based on this analysis, we then show that every digital dyadic net can be reordered into a sequence, together with a corresponding algorithm. Finally, we present a novel family of self-similar digital dyadic sequences, to be named ξ -sequences, that spans a subspace with fewer degrees of freedom. Those ξ -sequences are extremely efficient to sample and compute, and we demonstrate their advantages over the classic Sobol (0, 2)-sequence.

Air Pollution Modeling of UNI-DEM Model by using Innovative Stochastic Approaches

In this paper we develop advanced multidimensional sensitivity analysis, based on some innovative stochastic approaches for performing air pollution modelling on a large-scale model of long-range transport of air pollutants. The Unified Danish Eulerian Model (UNI-DEM) is a very important mathematical model, and can be applied in many different studies related to damaging effects caused by high air pollution levels. We shall use it in this paper to get a reliable answer to a some very important questions regrading environmental protection. We develop some advanced Monte Carlo and quasi-Monte Carlo methods, based on special lattice and digital sequences. In this paper we will improve the digital ecosystem modeling by improving the existence stochastic approaches. The computational efficiency (in terms of relative error and computational time) of the advanced Monte Carlo algorithms for multidimensional numerical integration has been studied to analyze the sensitivity of UNI-DEM model output to variation of input emissions of the anthropogenic pollutants and of rates of several chemical reactions. The algorithms will be applied to compute global Sobol sensitivity measures corresponding to the influence of several input parameters on the concentrations of important air pollutants. The study will be done for the areas of several European cities with different geographical locations.

Digital Twin-Driven Robotic Disassembly Sequence Dynamic Planning Under Uncertain Missing Condition

Disassembly is an inevitable process of recycling end-of-life products and robotic disassembly sequence planning could improve disassembly efficiency. However, missing condition of component is uncertain and it could not be pre-known before execution of disassembly process. The optimal solution should be dynamically generated according to the recognized condition during disassembly process. In this paper, digital twin is utilized to solve robotic disassembly sequence dynamic planning under uncertain missing condition. First, the framework of the proposed method is studied and digital twin of robotic disassembly process is established. Afterwards, deep Q-learning network is utilized to solve the proposed problem. Finally, case studies are carried out to verify the effectiveness of proposed method. The results show the converged DQN model could dynamically find the optimal solutions after missing condition of component is recognized during disassembly process using less running time, compared with the other meta-heuristics algorithms.

Development of the Mandarin Digit-in-Noise Test and Examination of the Effect of the Number of Digits Used in the Test.

The study aimed to develop and validate the Mandarin digit-in-noise (DIN) test using four digit (i.e., two-, three-, four-, and five-digit) sequences. Test-retest reliability and criterion validity were evaluated. How the number of digits affected the results was examined. The research might lead to more informed choice of DIN tests for populations with specific cognitive needs such as memory impairment. The International Collegium of Rehabilitative Audiology guideline for developing the DIN was adapted to create test materials. The test-retest reliability and psychometric function of each digit sequence were determined among young normal-hearing adults. The criterion validity of each digit sequence was determined by comparing the measured performance of older adult hearing aid users with that obtained from two other well-established sentence-in-noise tests: the Mandarin hearing-in-noise test and the Mandarin Chinese matrix test. The relation between the speech reception thresholds (SRTs) of each digit sequence of the DIN test and working memory capacity measured using the digit span test and the reading span test were explored among older adult hearing aid users. Together, the study sample consisted of 54 young normal-hearing adults and 56 older adult hearing aid users. The slopes associated with the two-, three-, four-, and five-digit DIN test were 16.58, 18.79, 20.42, and 21.09 %/dB, respectively, and the mean SRTs were -11.11, -10.99, -10.56, and -10.02 dB SNR, respectively. Test-retest SRTs did not differ by more than 0.74 dB across all digit sequences, suggesting good test-retest reliability. Spearman rank-order correlation coefficients between SRTs obtained using the DIN across the four digit (i.e., two-, three-, four-, and five-digit) sequences and the two sentence-in-noise tests were uniformly high ( rs = 0.9) across all participants, when data from all participants were considered. Results from the digit span test and reading span test correlated significantly with the results of the five-digit sequences ( rs = -0.37 and -0.42, respectively) but not with the results of the two-, three-, and four-digit sequences among older hearing aid users. While the three-digit sequence was found to be appropriate for clinical use for assessment of auditory perception, the two-digit sequence could be used for hearing screening. The five-digit sequence could be difficult for older hearing aid users, and with its SRT related to working memory capacity, its use in the evaluation of speech perception should be investigated further. The Mandarin DIN test was found to be reliable, and the findings are in line with SRTs obtained using standardized sentence tests, suggesting good criterion validity.

Frame Duplication Forgery Detection in Surveillance Video Sequences Using Textural Features

Frame duplication forgery is the most common inter-frame video forgery type to alter the contents of digital video sequences. It can be used for removing or duplicating some events within the same video sequences. Most of the existing frame duplication forgery detection methods fail to detect highly similar frames in the surveillance videos. In this paper, we propose a frame duplication forgery detection method based on textural feature analysis of video frames for digital video sequences. Firstly, we compute the single-level 2-D wavelet decomposition for each frame in the forged video sequences. Secondly, textural features of each frame are extracted using the Gray Level of the Co-Occurrence Matrix (GLCM). Four second-order statistical descriptors, Contrast, Correlation, Energy, and Homogeneity, are computed for the extracted textural features of GLCM. Furthermore, we calculate four statistical features from each frame (standard deviation, entropy, Root-Mean-Square RMS, and variance). Finally, the combination of GLCM’s parameters and the other statistical features are then used to detect and localize the duplicated frames in the video sequences using the correlation between features. Experimental results demonstrate that the proposed approach outperforms other state-of-the-art (SOTA) methods in terms of Precision, Recall, and F1Score rates. Furthermore, the use of statistical features combined with GLCM features improves the performance of frame duplication forgery detection.

Multibeam digital metasurface reflectarray antenna for 5G millimeter wave applications

AbstractA phase‐graded multibeam high gain digital metasurface reflector array (DMSRA) antenna for 5G millimeter wave communication is proposed in this letter. The DMSRA unit‐cell element is composed of a dipole loaded with endstubs. The variation of load across the diploe manipulates the reflection phase response of the incoming electromagnetic wave. A discretized phase state of 0° and 180° is obtained for an optimized loaded dipole. The phase states mimic the binary meta bit‐0 and meta bit‐1. The metabits are distributed along the reflecting surface using a digital coding sequence to form multiple beams in the desired direction. A coding sequence of 010101… is employed to design a two‐dimensional phase‐graded metasurface to generate a four‐beam radiation pattern. The designed digital metasurface reflectarray antenna of dimensions is fabricated and measured to validate the performance. The DMSRA is excited by an antipodal Vivaldi antenna positioned at an optimized focal point of 28 mm. The measured results show a four‐beam radiation pattern obtained over the frequency range of 27.5–28.5 GHz along azimuthal and elevation planes, with a peak beam gain of 10.5 dBi at 28 GHz.

New benefit-sharing principles for digital sequence information.

Benefit sharing should be decoupled from access.

Brief Report: Droplet Digital Polymerase Chain Reaction Versus Plasma Next-Generation Sequencing in Detecting Clearance of Plasma EGFR Mutations and Carcinoembryonic Antigen Levels as a Surrogate Measure

IntroductionTo compare the performance of droplet digital polymerase chain reaction (ddPCR) and plasma next-generation sequencing (NGS) in detecting clearance of plasma EGFR (pEGFR) mutations. MethodsPatients with treatment-naive advanced EGFR-mutated lung cancer treated with first-line tyrosine kinase inhibitors (TKIs) were included. pEGFR were measured at baseline and first response assessment using ddPCR and NGS. Clearance of pEGFR was defined as undetectable levels after a positive baseline result. Results were correlated with time-to-treatment failure (TTF). In exploratory analysis, corresponding change in carcinoembryonic antigen (CEA) levels was evaluated. ResultsBetween January 1, 2020, and December 31, 2021, 27 patients were recruited. Ex19del comprised 74% (20 of 27) and L858R 26% (seven of 27). Osimertinib was used in 59% (16 of 27), dacomitinib 4% (one of 27), and gefitinib/erlotinib 37% (10 of 27). Sensitivity of ddPCR and NGS in detecting pEGFR mutation at baseline was 70% (19 of 27) and 78% (21 of 27), respectively (p = 0.16). All patients with detectable pEGFR by ddPCR were detected by NGS.At a median of 8 (range 3–24) weeks post-TKI initiation, clearance of pEGFR was achieved in 68% (13 of 19) and 71% (15 of 21) using ddPCR and NGS, respectively. Concordance between ddPCR and NGS was 79% (kappa = 0.513, p = 0.013). Clearance of pEGFR was associated with longer median TTF (not reached versus 6 months, p = 0.03) and median decrease in CEA levels by 70% from baseline.In another cohort of 124 patients, decrease in CEA levels by greater than 70% within 90 days of TKI initiation was associated with doubling of both TTF and overall survival. ConclusionsPlasma NGS trended toward higher sensitivity than ddPCR in detecting pEGFR, although both had similar concordance in detecting pEGFR clearance. Our results support using NGS at diagnosis and interchangeability of NGS and ddPCR for monitoring, whereas CEA could be explored as a surrogate for pEGFR clearance.

73 Do depression, anxiety, or stress moderate the relationship between simple attention, working memory and verbal learning?

Objective:Working memory is a vital construct in efficient verbal memory encoding (Cotton &amp; Ricker, 2021). Working memory is impacted by attentional capacities (Riccio, Cohen, Garrison, &amp; Smith, 2005). Mood symptoms impact efficient information processing and consolidation of memory (Hubbard, 2016; Lukasik, 2019). This study examines self-reported symptoms of depression, anxiety, and stress as possible moderators of the relationship between working memory and a verbal list-learning task.Participants and Methods:Archival data from 415 adults (Mage= 56.10, SD=18.05; Medu= 15.5 SD=2.2; 53% female; 73% white) were collected at an outpatient clinic. Sex and race were not available in a small percentage of cases included in analyses. The Wechsler Adult Intelligence Scale 4th Edition Digit Span subtest was given to assess attention and working memory. Although Digit Span Forward is a measure of simple attention, not working memory, it was included in initial analyses because the subtest was given as a whole. The three components of Digit Span total, Forward, Backward, and Sequencing were also investigated separately, with the two latter scores being better representations of working memory. Learning was assessed via the California Verbal Learning Test (CVLT-II) total T-Score (Trials 1-5). Mood was assessed via the Depression Anxiety and Stress Scales (DASS-42).Results:Results of a hierarchical linear regression showed a significant effect between total Digit Span performance and total learning on the CVLT-II in the Block 1 (F(3, 411)=14.383, p =&lt;.001 , AR2=.095). Standardized beta weights and p-values for Digit Span Forward, Backward, and Sequencing were (ß=-.50, p=.374), (ß= .159, p=.009), and (ß=.210, p&lt;.001) respectively. In Block 2, when the DASS variables were introduced, the model remained significant F(3,408)=2.602, p=.05 , AR2=.017). The DASS anxiety and stress subscales had significant beta weights in the model (ß=-.172, p=.015) and (ß=.144, p=.039) respectively, with depression being insignificant (ß=--.023, p=.724).Conclusions:Mood symptoms have been shown to be an important consideration when assessing working memory and verbal learning performance (Massey, Meares, Batchelor, &amp; Bryant, 2015). Present results demonstrate that when accounting for working memory, anxiety and stress were significant predictors of performance on a measure of verbal learning. Additionally, as the components best representing working memory, Digit Span Sequencing and Backward were significantly correlated with verbal learning, whereas a measure best representing simple attention, Digit Span Forward, was not significantly correlated with verbal learning.

41 Analyzing Perceived Workloads in Bilinguals and Monolinguals’ Digit Span Performance

Objective:A common neuropsychological task used is the Digit Span, known as a test of attention and working memory. The Digit Span Forward (DS-F) task evaluates attention; meanwhile, the Digit Span Backward (DS-B) and Sequencing (DS-S) evaluate working memory. Research shows that persons that speak multiple languages demonstrate better attention and working memory abilities compared to monolingual speakers. The NASA Task Load Index (NASA-TLX) was conditionally validated by Hardy and Wright (2018) to measure perceived mental workload. Research also shows that bilinguals report higher perceived workloads on cognitive tasks compared to monolinguals. With that said, it was hypothesized that bilinguals would demonstrate better performances on Digit Span tasks compared to monolinguals. Additionally, it was hypothesized that bilinguals would report higher perceived workloads on all digit span tasks compared to monolinguals.Participants and Methods:The sample consisted of 29 psychologically and neurologically healthy participants with a mean age of 29.66 (SD = 7.14). Participants were divided into two groups: English monolingual speakers (n = 10) and English and other language bilingual speakers (n = 19).Participants completed all the subtests of the Digit Span (i.e., DS-F, DS-B, DS-S) in English. The NASA-TLX was used to measured DS-F, DS-B, and DS-S perceived workloads. The NASA-TLX was completed after each Digit Span subtest in English. We used ANOVAs to evaluate DS-F, DS-B, and DS-S performance and their perceived workload between our language groups.Results:We found no significant differences between language groups on the DS-F. However, the bilingual group reported the DS-F to be more temporally demanding and frustrating compared to the monolingual group, p’s &lt; .05, nps2 =.14-.15. Next, we found that the monolingual group outperformed the bilingual group on the DS-B task, p = .027, np2 = .17. On the other hand, the bilingual group reported the DS-B task to be more temporally demanding and frustrating compared to the monolingual group, p’s &lt; .05, nps2=.18-.20. Finally, on the DS-S task the monolingual group outperformed the bilingual group, p = .043, np2 = .14. Meanwhile, the bilingual group reported the DS-S task to be more mentally and temporally demanding compared to the monolingual group, p’s &lt; .05, nps2=.18-.34.Conclusions:Contrary to our hypothesis, results show that monolinguals outperformed bilinguals on DS-B and DS-S, but not DS-F. However, as expected, bilinguals did report higher perceived workloads (e.g., frustration) on Digit Span tasks compared to monolinguals. A possible explanation could be that bilinguals’ efforts to remember the numbers were more taxing compared to monolinguals’ because they had to inhibit from verbally responding in their other language. Rushing bilinguals to provide responses, ultimately developing higher perceived workloads on Digit Span tasks. Future work should investigate if time perspective may be influencing bilingual speakers Digit Span performances and perceived workloads.

98 Cognitive Outcomes Following Bilateral Focused Ultrasound Thalamotomy for Tremor

Objective:Essential tremor (ET) is the most common movement disorder, characterized by bilateral action tremors of the upper extremities. Surgical interventions can be considered for severe cases that are refractory to medication. Magnetic resonance-guided focused ultrasound (MRgFUS) of the ventral intermediate nucleus of the thalamus (Vim) is a recently approved, minimally invasive treatment for unilateral tremor. While patients are generally pleased with unilateral treatment, many patients are bothered by tremor on the untreated side. Historically, bilateral thalamotomy has been associated with a higher rate of adverse events, including cognitive impairment. MRgFUS Vim thalamotomy for bilateral tremor is currently being investigated. The goal of the present study was to evaluate the effect of bilateral MRgFUS Vim thalamotomy on cognition.Participants and Methods:Twelve patients with medication-refractory essential tremor (mean age = 68.77 +/- 11.78 years, mean education = 14.34 +/- 2.71 years, 8 male) were included in the present study. Three of the 12 patients met criteria for mild cognitive impairment (MCI). All patients successfully underwent unilateral MRgFUS thalamotomy at least 48 weeks before the second thalamotomy. A battery of neuropsychological tests was administered to patients before (considered baseline in the present study) and three months following the second thalamotomy. Baseline evaluations occurred on average 144.64 +/- 91.53 weeks (range: 55.00 - 346.58) after the first thalamotomy. The neuropsychological battery assessed domains of processing speed (Oral Symbol Digit Modalities Test, D-KEFS Color-Word Naming and Reading), attention (WAIS-IV Digit Span Forward), executive function (D-KEFS Color-Word Inhibition and Inhibition/Switching), working memory (WAIS-IV Digit Span Backward and Sequencing), verbal fluency (D-KEFS Letter Fluency and Animal Fluency), confrontation naming (Boston Naming Test), verbal memory (Hopkins Verbal Learning Test-Revised), and visuospatial perception (Judgment of Line Orientation). Alternate versions of tests were used when possible. Cognitive changes were analyzed at the group and individual level. Group level changes were assessed with paired sample t-tests (corrected for multiple comparisons). At the individual level, postoperative declines &gt; 1.5 SD from baseline were considered clinically significant.Results:Participants’ baseline intellectual functioning ranged from low average to superior (as measured by the WTAR). The mean baseline score on the Montreal Cognitive Assessment was 24.58 (range: 17 - 30). At the group level, there were no significant changes in cognitive scores from baseline to follow-up (all p values &gt; 0.635). At the individual level, one patient with MCI declined &gt; 1.5 SD on the verbal memory composite. No other patients showed declines &gt; 1.5 SD.Conclusions:Our preliminary findings suggest that bilateral MRgFUS Vim thalamotomy is relatively safe from a cognitive perspective. However, a single patient with MCI exhibited clinically significant postoperative decline in verbal memory. Future studies with larger sample sizes are needed to investigate the factors that increase the risk of postoperative cognitive decline, including pre-existing cognitive impairment, older age, and lesion size.

Self-report versus performance based executive functioning in people with psychotic disorders

BackgroundAlthough executive functioning is often measured using performance-based measures, these measures have their limits, and self-report measures may provide added value. Especially since these two types of measures often do not correlate with one another. It thus has been proposed they might measure different aspects of the same construct. To explore the differences between a performance-based measure of executive functioning and a self-report measure, we examined their associations in patients with a psychotic disorder with the following: other neurocognitive measures; psychotic symptoms; anxiety and depression symptoms, and daily-life outcome measures. MethodThis cross-sectional study consisted of baseline measures collected as part of a cohort study of people with a psychotic disorder (the UP'S study; n = 301). The Behavioral Rating Inventory of Executive Functioning Adult version (BRIEF-A) was used to assess self-rated executive functioning, and the Tower of London (TOL) to assess performance-based executive functioning. Generalized linear models (GLM) were used with the appropriate distribution and link function to study the associations between TOL and BRIEF-A, and the other variables, including the Brief Assessment of Cognition in Schizophrenia (BACS), the Positive and Negative Symptoms Scale-Remission (PANSS-R), the General Anxiety Disorder – 7 (GAD-7), the Patient Health Questionnaire – 9 (PHQ-9) and the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0). Model selection was based on the Wald test. ResultsThe TOL was associated with other neurocognitive measures, such as verbal list learning (β = 0.24), digit sequencing (β = 0.35); token motor task (β = 0.20); verbal fluency (β = 0.24); symbol coding (β = 0.43); and a screener for intelligence (β = 2.02). It was not associated with PANNS-R or WHO-DAS scores. In contrast, the BRIEF-A was associated not with other neurocognitive measures, but with the PANSS-R (β = 0.32); PHQ-9 (β = 0.52); and GAD-7 (β = 0.55); and with all the WHODAS domains: cognition domain (β = 0.54), mobility domain (β = 0.30) and selfcare domain (β = 0.22). ConclusionPerformance-based and self-report measures of executive functioning measure different aspects of executive functioning. Both have different associations with neurocognition, symptomatology and daily functioning measures. The difference between the two instruments is probably due to differences in the underlying construct assessed.

Convergence of improper Iwasawa continued fractions

We prove the convergence of a wide class of continued fractions, including generalized continued fractions over quaternions and octonions. Fractional points in these systems are not bounded away from the unit sphere, so that the iteration map is not uniformly expanding. We bypass this problem by analyzing digit sequences for points that converge to the unit sphere under iteration, expanding on previous methods of Dani–Nogueira.

Conception and Evaluation of a Library of Cleavable Mass Tags for Digital Polymers Sequencing

AbstractA library of phosphoramidite monomers containing a main‐chain cleavable alkoxyamine and a side‐chain substituent of variable molar mass (i.e. mass tag) was prepared in this work. These monomers can be used in automated solid‐phase phosphoramidite chemistry and therefore incorporated periodically as spacers inside digitally‐encoded poly(phosphodiester) chains. Consequently, the formed polymers contain tagged cleavable sites that guide their fragmentation in mass spectrometry sequencing and enhance their digital readability. The spacers were all prepared via a seven steps synthetic procedure. They were afterwards tested for the synthesis and sequencing of model digital polymers. Uniform digitally‐encoded polymers were obtained as major species in all cases, even though some minor defects were sometimes detected. Furthermore, the polymers were decoded in pseudo‐MS3 conditions, thus confirming the reliability and versatility of the spacers library.