Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep sequencing in CD34+ cells from peripheral blood enables sensitive detection of measurable residual disease in AML

Key Points The combination of FACS for enrichment of CD34+ PB cells and deep sequencing enables detection of MRD at levels down to 1:106. NGS in CD34+ PB cells improved early prediction of molecular relapse compared with NGS of unsorted PB or CD34+ donor chimerism.
Beyond broadband: Towards a spectral decomposition of electroencephalography microstates

Originally applied to alpha oscillations in the 1970s, microstate (MS) analysis has since been used to decompose mainly broadband electroencephalogram (EEG) signals (e.g., 1–40 Hz). We hypothesised that MS decomposition within separate, narrow frequency bands could provide more fine‐grained information for capturing the spatio‐temporal complexity of multichannel EEG. In this study, using a large open‐access dataset (n = 203), we first filtered EEG recordings into four classical frequency bands (delta, theta, alpha and beta) and thereafter compared their individual MS segmentations using mutual information as well as traditional MS measures (e.g., mean duration and time coverage). Firstly, we confirmed that MS topographies were spatially equivalent across all frequencies, matching the canonical broadband maps (A, B, C, D and C′). Interestingly, however, we observed strong informational independence of MS temporal sequences between spectral bands, together with significant divergence in traditional MS measures. For example, relative to broadband, alpha/beta band dynamics displayed greater time coverage of maps A and B, while map D was more prevalent in delta/theta bands. Moreover, using a frequency‐specific MS taxonomy (e.g., ϴA and αC), we were able to predict the eyes‐open versus eyes‐closed behavioural state significantly better using alpha‐band MS features compared with broadband ones (80 vs. 73% accuracy). Overall, our findings demonstrate the value and validity of spectrally specific MS analyses, which may prove useful for identifying new neural mechanisms in fundamental research and/or for biomarker discovery in clinical populations.
Emergence of High-Level Cefiderocol Resistance in Carbapenem-Resistant Klebsiella pneumoniae from Bloodstream Infections in Patients with Hematologic Malignancies in China

Cefiderocol-resistant CRKP strains are emerging in bloodstream infections in Chinese patients with hematologic malignancies, although cefiderocol has not been approved for clinical use in China. Our study proved that the resistance of CRKP against cefiderocol is mediated by multiple factors, including the deficiency of CirA, metallo- or serine-β-lactamases, while a high-level cefiderocol resistance could be rendered by the combined effect of NDM expression and CirA deficiency. ABSTRACT Cefiderocol is a novel siderophore cephalosporin exhibiting potent antimicrobial activities. Although cefiderocol has not been approved in China, resistance is emerging. A multicenter study was performed to evaluate the cefiderocol resistance in carbapenem-resistant Klebsiella pneumoniae (CRKP) strains from bloodstream infections in patients with hematologic malignancies in China. Clinical data analysis and whole-genome sequencing were conducted for collected cefiderocol-resistant CRKP strains. CRISPR-Cas9 system was employed to construct site-specific mutagenesis for gene cirA. Plasmid curing and cloning were performed to assess the effect of β-lactamases on cefiderocol resistance. Total 86 CRKP strains were collected. The MICs of cefiderocol ranged from 0.06 to >256 mg/L. Among four cefiderocol-nonsusceptible strains (4/86, 4.7%), two cefiderocol-resistant strains AR8538 (MIC = 32 mg/L) and AR8416 (MIC > 256 mg/L) were isolated from two patients with acute lymphocytic leukemia (frequency of resistance, 2/86, 2.3%). Metallo- and serine-β-lactamase inhibitors addition would decrease the MIC of cefiderocol from 32 to 1 mg/L in AR8538, which harbors blaSHV-12, blaDHA-1, and two copies of blaNDM-1 in different plasmids. Avibactam did not impact cefiderocol susceptibility of AR8416, which produces NDM-5. However, we found a deficient CirA in AR8416. Using the same K serotype strain D3, we proved CirA deficiency or carrying NDM individually reduced cefiderocol susceptibility, but their simultaneously existence rendered a high-level cefiderocol resistance. In summary, the resistance of CRKP against cefiderocol is mediated by multiple factors, including the deficiency of CirA, metallo- or serine-β-lactamases, while a high-level cefiderocol resistance could be rendered by the combined effect of NDM expression and CirA deficiency. IMPORTANCE Cefiderocol-resistant CRKP strains are emerging in bloodstream infections in Chinese patients with hematologic malignancies, although cefiderocol has not been approved for clinical use in China. Our study proved that the resistance of CRKP against cefiderocol is mediated by multiple factors, including the deficiency of CirA, metallo- or serine-β-lactamases, while a high-level cefiderocol resistance could be rendered by the combined effect of NDM expression and CirA deficiency. As NDM production is one of the most critical mechanisms resulting in carbapenem resistance, it would pose great challenges on the clinical efficacy of cefiderocol in future.
Identifying indicators of community participation‐promoting efforts within coordinated specialty care: A modified e‐Delphi study of stakeholder perspectives

Aim: Community participation in occupational, social, recreational, and other domains is critically important during young adulthood. Coordinated Specialty Care (CSC) programs provide developmentally tailored care to young adults experiencing early psychosis within the United States, but little is known about the breadth of efforts to promote community participation. This study aimed to develop and evaluate indicators of these efforts based on the perspectives of a national multi‐stakeholder group.
A Security Scheme for Mobile Ad-hoc Network with Reduced Routing Overhead

A mobile ad-hoc network is collection of mobile nodes which are design to communicate each other without fix infrastructure and central coordination. Since in the MANET, routing protocols have no security mechanism. They are designed only to provide correct routing and have ability to adjust their dynamic changing condition. So MANET is more venerable due to their routing behavior. Routing protocols are more affected by two way, first one is attacks from private node that do not belongs to network and also disrupted by presence of compromise nodes. We can solve the issue of attacks from private nodes by authentication techniques that provide mutual trust between nodes. In this paper, we proposed digital signature scheme to provide mutual trust between nodes. We are choosing AODV routing protocols for study. Since AODV routing protocol provide route on demand and integrate many features designed to maximize performance at reduced routing overhead and cost of added complexity. We also proposed a solution for route availability and validation.
A mixed‐studies systematic review of the experiences of body image, disordered eating, and eating disorders during the COVID‐19 pandemic

Abstract Objectives This systematic review assessed the influence of the COVID‐19 pandemic and associated restrictions on body image, disordered eating (DE), and eating disorder outcomes. Methods After registration on PROSPERO, a search was conducted for papers published between December 1, 2019 and August 1, 2021, using the databases PsycINFO, PsycARTICLES, CINAHL Plus, AMED, MEDLINE, ERIC, EMBASE, Wiley, and ProQuest (dissertations and theses). Results Data from 75 qualitative, quantitative, and mixed‐methods studies were synthesized using a convergent integrated approach and presented narratively within four themes: (1) disruptions due to the COVID‐19 pandemic; (2) variability in the improvement or exacerbation of symptoms; (3) factors associated with body image and DE outcomes; (4) unique challenges for marginalized and underrepresented groups. Disruptions due to the pandemic included social and functional restrictions. Although most studies reported a worsening of concerns, some participants also reported symptom improvement or no change as a result of the pandemic. Factors associated with worse outcomes included psychological, individual, social, and eating disorder‐related variables. Individuals identifying as LGBTQ+ reported unique concerns during COVID‐19. Discussion There is large variability in individuals' responses to COVID‐19 and limited research exploring the effect of the pandemic on body image, DE, and eating disorder outcomes using longitudinal and experimental study designs. In addition, further research is required to investigate the effect of the COVID‐19 pandemic on body image and eating concerns among minoritized, racialized, underrepresented, or otherwise marginalized participants. Based on the findings of this review, we make recommendations for individuals, researchers, clinicians, and public health messaging. Public Significance This review of 75 studies highlights the widespread negative impacts that the COVID‐19 pandemic and associated restrictions have had on body image and disordered eating outcomes. It also identifies considerable variations in both the improvement and exacerbation of said outcomes that individuals, researchers, clinicians, and other public health professionals should be mindful of if we are to ensure that vulnerable people get the tailored support they require.
Repetitive transcranial magnetic stimulation improves consciousness in some patients with disorders of consciousness

Objective To investigate the therapeutic efficacy of repetitive transcranial magnetic stimulation (rTMS) in patients with disorders of consciousness. Design and Setting We performed a randomized, double-blinded, sham-controlled trial. Participants Patients (N = 40) with disorders of consciousness. Interventions Forty patients with disorders of consciousness (time since onset of the disorder 49.0 ± 24.6 days) were enrolled and randomized to groups receiving either active-rTMS or sham-rTMS. The active-TMS protocol had a frequency of 20 Hz, was delivered over the left dorsolateral prefrontal cortex and had a 100% rest motor threshold. The sham-rTMS protocol was the same as the active protocol without magnetic stimulation over the cortex. Main Outcome Measures Consciousness was evaluated by the Coma Recovery Scale-Revised (CRS-R) before and after the four-week intervention. The ratio of patients that awakened from disorders of consciousness was followed up at discharge. Results Before rTMS sessions, there were no significant differences in consciousness scores between groups. Compared to sham-rTMS (6.25 ± 1.29), patients with disorders of consciousness treated by active rTMS showed strikingly improved consciousness (8.45 ± 3.55). In-depth analysis revealed that only some patients showed obvious increases in consciousness scores induced by active rTMS. Furthermore, rTMS did not significantly enhance the awakening ratio. Conclusions rTMS showed therapeutic efficacy for improving consciousness in some, but not all, patients with disorders of consciousness. It is essential to discern the potential patients whose consciousness can be improved by rTMS.
Data Compatibility Analysis of WAMS/SCADA Hybrid Measurements State Estimation

Aiming at the problem that more and more studies used hybrid data of wide area measurement system (WAMS) and supervisory control and data acquisition (SCADA) to improve the traditional state estimation,a new method to solve the compatibility problem of WAMS/SCADA hybrid data was proposed.Firstly,the differences between WAMS and SCADA are analyzed,and through the built WAMS/SCADA hybrid data model,we can conclude that time synchronization and measure weights are the main factors which affect the compatibility of hybrid data.Therefore,data dependence analysis is used to implement the synchronization of WAMS and SCADA data,and to re-quantify the measure weights by considering the delay distribution of measure data.The simulation results of standard test system show the accuracy of compatibility analysis and the validity of compatibility method.
Cecidology as an Indirect Method to Estimate Richness and Diversity of Wasp Species at Sierra Fria, Aguascalientes, Mexico

Abstract. Galls or cecidia are a microhabitat for many wasp species of the family Cynipoidea. Diversity and richness of wasps of the Cynipini tribe were estimated indirectly from their microhabitat (gall). We also inferred the relationship between galls and environmental factors in the temperate forest of Sierra Fria, Aguascalientes. Ten sites were sampled; two permanent plots 50 × 50 m were established and sampled in rainy and dry seasons at every site. In each plot, presence, and abundance of galls in oaks were quantified, as well as weather and geographical data. Richness and alfa (Hill series) and beta (βtotal, βrepl, and βrich) diversity were determined per period, site, and host level. Canonical correspondence analysis was used to evaluate effects of environmental factors on wasp richness. A total richness of 78 galls was found, which could represent 35 to 40 wasp species. Differences in abundance and diversity were found among sites, hosts, and time periods. βtotal showed variation in diversity was explained by replacement of species rather than differences in richness. Species richness and hosts were affected by weather and geographical variables. Use of galls as an indirect indication of richness and diversity, host-parasite interaction, and its environmental interaction were discussed for conservation purposes.
Defects, Fault Modeling, and Test Development Framework for RRAMs

Resistive RAM (RRAM) is a promising technology to replace traditional technologies such as Flash, because of its low energy consumption, CMOS compatibility, and high density. Many companies are prototyping this technology to validate its potential. Bringing this technology to the market requires high-quality tests to ensure customer satisfaction. Hence, it is of great importance to deeply understand manufacturing defects and accurately model them to develop optimal tests. This paper presents a holistic framework for defect and fault modeling that enables the development of optimal tests for RRAMs. An overview and classification of RRAM manufacturing defects are provided. Defects in contacts and interconnects are modeled as resistors. Unique RRAM defects, e.g., forming defects, require Device-Aware defect modeling which incorporates the defect’s impact on the device’s electric properties by adjusting the affected technology and electrical parameters. Additionally, a systematic approach to define the fault space is presented, followed by a methodology to validate this space. With this methodology, accurate fault modeling for contact, interconnect, and forming defects is performed and tests are developed. The tests are able to detect all faults in a time-efficient manner, thereby proving the effectiveness of the framework. Finally, an outlook on future RRAM testing is presented.
TONE: cutting tail-latency in learned indexes

Low memory footprint and tail latency are important in indexing for data management systems. Learned indexes have been gaining popularity in recent years due to their low memory overhead, and adaptability to fluctuations in workloads. However, state-of-the-art learned indexes are optimized for read-heavy workloads where the key access distribution is relatively stable, and thus exhibit high tail latency for insertions. Our main observation is that high insertion tail latency stems from structural modification operations in the index, such as node expansions and splits. Based on this insight, we propose a new tail-latency optimized learned index we call TONE. TONE has a novel node layout for leaves and adaptable policies for triggering structural modification operations. Moreover, TONE provides a shard-based mechanism to boost parallelism, while minimizing contention. We evaluate the insertion tail-latency and overall throughput of TONE and provide a comprehensive comparison to state-of-the-art indexes such as skiplists (used in RocksDB) and existing learned indexes. We show that TONE reduces the 99p write tail-latency up to one order of magnitude and has a low memory use.
Sexual selection moderates heat stress response in males and females

A widespread effect of climate change is the displacement of organisms from their thermal optima. The associated thermal stress imposed by climate change has been argued to have a particularly strong impact on male reproduction but evidence for this postulated sex-specific stress response is equivocal. One important factor that may explain intra- and interspecific variation in stress responses is sexual selection, which is predicted to magnify negative effects of stress. Nevertheless, empirical studies exploring the interplay of sexual selection and heat stress are still scarce. We tested experimentally for an interaction between sexual selection and thermal stress in the red flour beetle Tribolium castaneum by contrasting heat responses in male and female reproductive success between setups of enforced monogamy versus polygamy. We found that polygamy magnifies detrimental effects of heat stress in males but relaxes the observed negative effects in females. Our results suggest that sexual selection can reverse sex differences in thermal sensitivity, and may therefore alter sex-specific selection on alleles associated with heat tolerance. We argue that these findings have important implications for predicting the role of sexual selection for the adaptation to current global warming and increased frequency of extreme climatic events.
Illumina-based Whole De Novo Transcriptome Profiling and Diosgenin Biosynthetic pathway of Tribulus terrestris: A Medicinal herb

Tribulus terrestris L. (Chota gokhuru), an annual herb of the Zygophyllaceae family accumulates steroidal-type triterpenoids of diosgenin in root, leaf, fruit, which have been used as a traditional medicine to cure steroidal hormonal diseases such as estrogen, progesterone, and cardiovascular and urogenital. However, to date, the diosgenin biosynthetic pathway of T. terrestris is unknown. In this research paper, identification of candidate genes involved in bioactive compounds (diosgenin) was conducted via whole transcriptome profiling of T. terrestris using the Illumina HiSeq sequencing platform, which generated 482 million reads. RNA-Seq reads were assembled and clustered into 148871 unigenes. NCBI non-redundant (NR) and Swiss-Prot databases search anchored 50% unigenes with the functional annotations based on similarities of sequence. Further, in Gene Ontology and KEGG-KAAS pathways, a total of 126 unigenes were highly expressed in the terpenoids backbone biosynthesis, in which diosgenin pathways (two genes of glycolytic, three genes of mevalonate, two genes of MEP/DOX, one gene of mono-terpenoids, and seven genes of steroidal pathways) were identified. In addition, 9 genes were randomly selected for confirmation through real-time PCR. T. terrestris showed the highest homology with the Citrus sinensis and Juglans regia. 27478 unigenes of transcription factors were assembled, in which top ten transcription factors were highly expressed. A total of 17623 SSR was assembled, amongst them unigenes of di-nucleotide were highly repeated. This research work will improve our understanding of the diosgenin pathway and lay the groundwork for future molecular research on metabolic engineering, as well as raise diosgenin content in T. terrestris.
The dynamics of speciation in the gall-forming aphid Geoica spp. within and among Pistacia host tree species

Trees of the genus Pistacia serve as obligate hosts for gall-forming aphids (Hemiptera, Aphididae, Fordini). Each aphid species induces a characteristic gall on a single Pistacia host species. The genus Geoica (Fordini) induce similar spherical closed galls on the lower side of the leaflet’s midvein, on different Pistacia species. Two species of Pistacia trees that harbor Geoica galls grow naturally in Israel: P. palaestina and P. atlantica. We analyzed the phylogeny and the genetic structure of the Geoica species complex in Israel, and assessed the genetic differentiation and the level of host plant specificity of the aphids between P. atlantica and P. palaestina. We found that the splitting of the genus between P. atlantica and P. palaestina is estimated to have occurred 24–25 Ma (the Oligocene/Miocene boundary). Five different haplotypes suggesting five different species have been further speciating among Geoica spp. , galling on P. atlantica, and an additional three species, on P. palaestina. Accession Numbers (COI sequences): MW452548 - Pp-Q-7d-Gamla - Haplotype-VI MW452549 - Pp-Q-10b-Gamla - Haplotype-VII MW452550 - Pp-A-1a-Mezar - Haplotype-VII MW452551 - Pp-S-6c-Sasa - Haplotype-VI MW452552 - Pp-New Hermon-2-5 - Haplotype-VIII MW452553 - Pa-Q-10a-II Gamla - Haplotype-IV MW452554 - Pa-Q-5d Gamla - Haplotype-II MW452555 - Pa-A-2f Mezar - Haplotype-IV MW452556 - Pa-E-13 Anafa - Haplotype-III MW452557 - Pa-K-10a Adolam - Haplotype-IV MW452558 - Pa-K-3a Adolam - Haplotype-II MW452559 - Pa-N-2a Nizana - Haplotype-I MW452560 - Pa-Z-1-3 Hazeva - Haplotype-I MW452561 - Pa-SL-3-3 Jordan-Sela - Haplotype-V
Task feedback suggests a post-perceptual component to serial dependence

Decisions across a range of perceptual tasks are biased toward past stimuli. Such serial dependence is thought to be an adaptive low-level mechanism that promotes perceptual stability across time. However, recent studies suggest post-perceptual mechanisms may also contribute to serially-biased responses, calling into question a single locus of serial dependence and the nature of integration of past and present sensory inputs. We measured serial dependence in the context of a 3D motion perception task where uncertainty in the sensory information varied substantially from trial to trial. We found that serial dependence varied with stimulus properties that impact sensory uncertainty on the current trial. Reduced stimulus contrast was associated with an increased bias toward the previous trial’s stimulus direction. Critically, performance feedback, which reduced sensory uncertainty, abolished serial dependence. These results provide clear evidence for a post-perceptual locus of serial dependence in 3D motion perception and support the role of serial dependence as a response strategy in the face of substantial sensory uncertainty.
Treatment response prediction: Is model selection unreliable?

Quantitative modelling has become an essential part of the drug development pipeline. In particular, pharmacokinetic and pharmacodynamic models are used to predict treatment responses in order to optimise clinical trials and assess the safety and efficacy of dosing regimens across patients. It is therefore crucial that treatment response predictions are reliable. However, the data available to fit models are often limited, which can leave considerable uncertainty about the best model to use. Common practice is to select the model that is most consistent with the observed data based on the Akaike information criterion (AIC). Another popular approach is to average the predictions across the subset of models consistent with the data. In this article, we argue that both approaches can lead to unreliable predictions, as treatment responses typically display nonlinear dynamics, so models can be consistent with the observed dynamics, whilst predicting incorrect treatment responses. This is especially the case when predicting treatment responses for either times or dosing regimens that go beyond the observed dynamics. Across a range of experiments on both real laboratory data and synthetically derived data on Neisseria gonorrhoeae response to ciprofloxacin, we show that probabilistic averaging of models results in more reliable treatment response predictions.