Miracle-dz/UniFAR-FTUs huggingface dataset:
Oklahoma Spring Flowers in Autumn

The exceptionally hot and arid summer in Oklahoma, followed by abnormally heavY rains and cool weather during late September and early October, has brought numerous plants which normally flower in the spring, into full bloom during OCtober and November. On my weekly, a.nd occasionally biweekly, field tripS this fall I have found many interesting examples of this phenomenon. On OCtober lOth, while botanizing around Crystal Lake, which is about 2 miles north of Norman, I was surprised to find Sagittaria lan/olia in perfect flowering condition on the margin of the lake shore, together with several rushes and sedges which are common only during M'Jay and June. Then, in a field a few hundred feet from the shore line I found Cla1ltona virginica (Spring Beauty); Oxalts violacea (Violet Wood Sorrel), and Nothoscordum bivalve (Flake Wild Onion). The latter plant was so prolific that I made an Exsiccatae set for the Gray Herbarium of Harvard University, and these specimens will be sent out from that institution as special duplicates to almost every botanical institution of importance throughout the world. In the same field near Crystal Lake were several species of Panicum (Panic Grass), which exhibited the vernal habit instead of the anticipated autumnal one. Some few weeks later (October 26th) I again took to the field and was pleased to collect Viola Ra/lnesquii and Viola papilionacea (Violets), both of which species normally flower only in the spring. And on another trip (November 6th) I ventured into the Arbuckle Mountains, although I well knew at that time that killing frosts had visited the region, but I obtained several exceedingly interesting plants, the most unusual being Ceanothus ovatus V&r. pubescens (Small N. J. Tea or Red Wood) whose creamy white corymbs of flowers made me think only of springl This plant was found along the roadside on a sandstone bank and although only a few plants were seen, the record is nevertheless of importance, not so much for its occurrence there, for it is quite common, but for its time of flowering, Not content With my earlier collections I visited an old tallow field outside Norman on the 1st of December and hoped to find fruiting specimens of some common Weeds, the records for which. in our herbarium at least, were absent from Cleveland County. I found those for which I was searching, and in addition obtained flowering specimens of Tarcuacum vulgare (DandeUon), Nepef,a hederacea (Gill-over-the-ground; Ground IvY), Capsella BursQ,Pastoris (Shepherd's Purse), and Ozalts cornfculata. (Sheep Sorrel). 'Ibese weeds are usually among the first to flower in the spring, altliough they are found blooming sporadically throughout nearly every month of the year, but one hardly expected to ftnd them in such profusion and ot such large
Medical financial hardship between young adult cancer survivors and matched individuals without cancer in the United States

Abstract Background Young adult cancer survivors face medical financial hardships that may lead to delaying or forgoing medical care. This study describes the medical financial difficulties young adult cancer survivors in the United States experience in the post–Patient Protection and Affordable Care Act period. Method We identified 1009 cancer survivors aged 18 to 39 years from the National Health Interview Survey (2015-2022) and matched 963 (95%) cancer survivors to 2733 control individuals using nearest-neighbor matching. We used conditional logistic regression to examine the association between cancer history and medical financial hardship and to assess whether this association varied by age, sex, race and ethnicity, and region of residence. Results Compared with those who did not have a history of cancer, young adult cancer survivors were more likely to report material financial hardship (22.8% vs 15.2%; odds ratio = 1.65, 95% confidence interval = 1.50 to 1.81) and behavior-related financial hardship (34.3% vs 24.4%; odds ratio = 1.62, 95% confidence interval = 1.49 to 1.76) but not psychological financial hardship (52.6% vs 50.9%; odds ratio = 1.07, 95% confidence interval = 0.99 to 1.16). Young adult cancer survivors who were Hispanic or lived in the Midwest and South were more likely to report psychological financial hardship than their counterparts. Conclusions We found that young adult cancer survivors were more likely to experience material and behavior-related financial hardship than young adults without a history of cancer. We also identified specific subgroups of young adult cancer survivors that may benefit from targeted policies and interventions to alleviate medical financial hardship.
Evolution and emergence of Mycobacterium tuberculosis

Abstract Tuberculosis (TB) remains one of the deadliest infectious diseases in human history, prevailing even in the 21st century. The causative agents of TB are represented by a group of closely related bacteria belonging to the Mycobacterium tuberculosis complex (MTBC), which can be subdivided into several lineages of human- and animal-adapted strains, thought to have shared a last common ancestor emerged by clonal expansion from a pool of recombinogenic Mycobacterium canettii-like tubercle bacilli. A better understanding of how MTBC populations evolved from less virulent mycobacteria may allow for discovering improved TB control strategies and future epidemiologic trends. In this review, we highlight new insights into the evolution of mycobacteria at the genus level, describing different milestones in the evolution of mycobacteria, with a focus on the genomic events that have likely enabled the emergence and the dominance of the MTBC. We also review the recent literature describing the various MTBC lineages and highlight their particularities and differences with a focus on host preferences and geographic distribution. Finally, we discuss on putative mechanisms driving the evolution of tubercle bacilli and mycobacteria in general, by taking the mycobacteria-specific distributive conjugal transfer as an example.
Zero-shot test time adaptation via knowledge distillation for personalized speech denoising and dereverberation.

A personalization framework to adapt compact models to test time environments and improve their speech enhancement (SE) performance in noisy and reverberant conditions is proposed. The use-cases are when the end-user device encounters only one or a few speakers and noise types that tend to reoccur in the specific acoustic environment. Hence, a small personalized model that is sufficient to handle this focused subset of the original universal SE problem is postulated. The study addresses a major data shortage issue: although the goal is to learn from a specific user's speech signals and the test time environment, the target clean speech is unavailable for model training due to privacy-related concerns and technical difficulty of recording noise and reverberation-free voice signals. The proposed zero-shot personalization method uses no clean speech target. Instead, it employs the knowledge distillation framework, where the more advanced denoising results from an overly large teacher work as pseudo targets to train a small student model. Evaluation on various test time conditions suggests that the proposed personalization approach can significantly enhance the compact student model's test time performance. Personalized models outperform larger non-personalized baseline models, demonstrating that personalization achieves model compression with no loss in dereverberation and denoising performance.
Draft genome sequences of three rhodopsin possessing Croceitalea sp. strains, isolated from the sea surface microlayer in Japan

ABSTRACT Here, we present the draft genome sequences of three Croceitalea sp. strains containing microbial rhodopsins, isolated from the Japanese coastal sea surface microlayer, which is exposed to intense sunlight. This study will contribute to the understanding of the genus Croceitalea and the diversity of microbial rhodopsins.
Leveraging chromatin state transitions for the identification of regulatory networks orchestrating heart regeneration.

The limited regenerative capacity of the human heart contributes to high morbidity and mortality worldwide. In contrast, zebrafish exhibit robust regenerative capacity, providing a powerful model for studying how to overcome intrinsic epigenetic barriers maintaining cardiac homeostasis and initiate regeneration. Here, we present a comprehensive analysis of the histone modifications H3K4me1, H3K4me3, H3K27me3 and H3K27ac during various stages of zebrafish heart regeneration. We found a vast gain of repressive chromatin marks one day after myocardial injury, followed by the acquisition of active chromatin characteristics on day four and a transition to a repressive state on day 14, and identified distinct transcription factor ensembles associated with these events. The rapid transcriptional response involves the engagement of super-enhancers at genes implicated in extracellular matrix reorganization and TOR signaling, while H3K4me3 breadth highly correlates with transcriptional activity and dynamic changes at genes involved in proteolysis, cell cycle activity, and cell differentiation. Using loss- and gain-of-function approaches, we identified transcription factors in cardiomyocytes and endothelial cells influencing cardiomyocyte dedifferentiation or proliferation. Finally, we detected significant evolutionary conservation between regulatory regions that drive zebrafish and neonatal mouse heart regeneration, suggesting that reactivating transcriptional and epigenetic networks converging on these regulatory elements might unlock the regenerative potential of adult human hearts.
Antibacterial activity of ibezapolstat against antimicrobial-resistant clinical strains of Clostridioides difficile

ABSTRACT Antimicrobial resistance is emerging in clinical strains of Clostridioides difficile. Ibezapolstat (IBZ) is a DNA polymerase IIIC inhibitor that has completed phase II clinical trials. IBZ has potent in vitro activity against wild-type, susceptible strains but its effect on C. difficile strains with reduced susceptibility to metronidazole (MTZ), vancomycin (VAN), or fidaxomicin (FDX) has not been tested. The primary objective of this study was to test the antibacterial properties of IBZ against multidrug-resistant C. difficile strains. The in vitro activity, bactericidal, and time-kill activity of IBZ versus comparators were evaluated against 100 clinical strains of which 59 had reduced susceptibility to other C. difficile antibiotics. Morphologic changes against a multidrug resistance strain were visualized by light and scanning electron microscopy. The overall IBZ MIC50/90 values (µg/mL) for evaluated C. difficile strains were 4/8, compared with 2/4 for VAN, 0.5/1 for FDX, and 0.25/4 for MTZ. IBZ MIC50/90 values did not differ based on non-susceptibility to antibiotic class or number of classes to which strains were non-susceptible. IBZ bactericidal activity was similar to the minimum inhibitory concentration (MIC) and maintained in wild-type and non-susceptible strains. Time-kill assays against two laboratory wild-type and two clinical non-susceptible strains demonstrated sustained IBZ activity despite reduced killing by comparator antibiotics for IBZ and VAN non-susceptible strains. Microscopy visualized increased cell lengthening and cellular damage in multidrug-resistant strains exposed to IBZ sub-MIC concentrations. This study demonstrated the potent antibacterial activity of IBZ against a large collection of C. difficile strains including multidrug-resistant strains. This study highlights the therapeutic potential of IBZ against multidrug-resistant strains of C. difficile.
Trial-level ERPs predicted behavioral responses during self-referential processing in late childhood

Abstract Self-referential information is uniquely salient and preferentially processed even in children. The literature has used the self-referent encoding task (SRET) combined with event-related potentials (ERPs) to study self-referential processing and its associations with youth psychopathology. However, it is unclear how the ERP and behavioral indices of SRET are associated with each other, although this knowledge can promote our mechanistic understanding of this construct and its role in psychopathology. We examined this question in 115 9- to 12-year-old children, a critical period for the development of self-related concepts. By applying a multilevel modeling approach to the trial-level data of SRET, we disaggregated the between- and within-person variability and observed within-person, but not between-person, effects of the P2 and late positive potential (LPP) on behavioral responses: a larger P2 on a given trial predicted a faster response in this trial; a larger LPP on a given trial predicted a higher likelihood of endorsing the word of this trial. We provided novel evidence on how the within-person variability of the ERPs predicted the overt responses of the SRET in children. These findings inform our mechanistic knowledge of self-referential processing and shed light on a better understanding of the role of self-referential processing in the development of psychopathology.
The Effects of Vitamin D Supplementation on Athletic Performance and Injury Prevention

Vitamin D supplementation has numerous effects on athletic performance and plays a significant role in preventing an athlete’s risk of getting injuries. Vitamin D has an impact on numerous physiological functions such as: bone health, muscle function, inflammatory response, and immune function. An athlete’s bone and muscle health are essential for maximum performance and career success. A bone fracture due to vitamin D deficiency can delay an athlete’s training and ultimately inhibit obtaining a collegiate scholarship and/or contract. A cross sectional study found that more than half of athletic trainers did not view 25-hydroxyvitamin D(25[OH]) testing and vitamin D supplementation as a necessary use of athletic program funds. There is disagreement over vitamin D in the applied and clinical setting. Further studies are needed in which a host of variables are investigated regarding the optimal dosages of vitamin D supplements for athletes. The objective of this review is to investigate current research looking at the effects of vitamin D supplementation on athletic performance and injury prevention as well as optimal doses of vitamin D3 for athletes. Adequate vitamin D supplementation can be utilized to prevent and reduce the risk of frequent injuries among athletes.
The role of relational mechanisms in the executive coaching process on client outcomes in distance coaching relationships

PurposeWe examine the relationships between clients’ level of coaching readiness and trust in their executive coach and increases to both personal learning improved work performance. Distance relationships, the setting for this study, epitomize the norms of the New World of Work (NWoW), but also provide particular challenges for building trust and recognizing similarities between client and coach.Design/methodology/approachThis study investigates distance coaching relationships in matched-pairs, longitudinal investigation of formal executive coaching.FindingsResults support the proposed moderated mediation path. Findings reveal that both coaches’ perceptions of client readiness for coaching and client trust in coach each predict both client personal skill development and performance improvement.Research limitations/implicationsWhile important toward gaining a better understanding of the relational functioning of distance coaching relationships, inclusion of only distance relationships may truncate the generalizability of our findings.Practical implicationsThe study’s findings have practical implications for organizations that invest in executive coaching with regard to the importance of evaluating the candidates' readiness for coaching before the assignment, trust-building throughout distance coaching relationships and perceptions of similarity on client coaching outcomes.Originality/valueDistance relationships, the setting for this study, provide particular challenges for building trust and recognizing similarities between client and coach and the current investigation points to the relevance of these relational mechanisms to client outcomes. In so doing, this study explores how perceptions of deep-level similarity between a coach and client may serve as moderators of these relationships.
Data from the Indian drug regulator and from Clinical Trials Registry-India does not always match

Introduction In India, regulatory trials, which require the drug regulator’s permission, must be registered with the Clinical Trials Registry-India (CTRI) as of 19 March 2019. In this study, for about 300 trials, we aimed to identify the CTRI record that matched the trial for which the regulator had given permission. After identifying ‘true pairs’, our goal was to determine whether the sites and Principal Investigators mentioned in the permission letter were the same as those mentioned in the CTRI record. Methods We developed a methodology to compare the regulator’s permission letters with CTRI records. We manually validated 151 true pairs by comparing the titles, the drug interventions, and the indications. We then examined discrepancies in their trial sites and Principal Investigators. Results Our findings revealed substantial variations in the number and identity of sites and Principal Investigators between the permission letters and the CTRI records. Discussion These discrepancies raise concerns about the accuracy and transparency of regulatory trials in India. We recommend easier data extraction from regulatory documents, cross-referencing regulatory documents and CTRI records, making public the changes to approval letters, and enforcing oversight by Institutional Ethics Committees for site additions or deletions. These steps will increase transparency around regulatory trials running in India.
Green investment in South Africa: A perception of overinvestment or underinvestment in energy and mining firms

This paper investigates green investments in energy and mining firms in South Africa to determine the efficiency level in terms of overinvestment and underinvestment. The general Richardson residual measurement model is employed, and an enhanced model is created by including variables that influence green investment, such as political connections and pollutant emissions. Data from 17 companies (5 energy and 12 mining) were used because of the significant effects of their operations on the environment over the period between 2015 and 2022. The study findings show that, in comparison to the estimated optimal investment level, South African energy and mining firms are not consistent regarding their investment level. It interplays between underinvestment and overinvestment. However, both firms demonstrated the tendency to green investment inefficiency due to underinvestment recorded in the latter years of the sample period. The study provides understanding as regards green investment levels of energy and mining firms and hence recommends adequate oversight and formulation of environmental policy by the government to ensure green investment efficiency in line with both national and international policies and regulations to facilitate a sustainable environment.
Neuromarketing; Its Significance in the Marketing World

Neuromarketing allows marketers to profoundly engage with consumers' latent cognitive processing processes to elicit the desired response. Marketing's more complicated phenomenon is pricking the brain's touch spots to accelerate customer response. To determine how neurons in the human mind work in accordance with marketing principles, this conceptual paper aims to answer three questions: the significance of neuromarketing in the marketing world; the impact of neuromarketing on consumer buying behaviour; and the assessment of neuromarketing with conventional marketing techniques considering previous research. This study reveals the systematic literature review. According to neuro-marketing literature, marketers need automated tools to understand human cognitive processes and build customized market offerings for their target clientele. Because customers are ignorant of their goals, automatic response devices and methodologies can help investigate the neurons of the mind responsible for buying actions in consumer purchasing behaviour. Neuroscience and marketing collaborated to create these automated research tools to study human emotions that influence purchases.
A webmapping platform for publishing, sharing, and managing EO-derived data for forest protection

Ecometrica, together with partners in the UK, Mexico and Brazil, have collaborated on a UK Space Agency international partnership space programme (IPSP) project to advance EO applications in forests. A key objective was to improve EO derived information management for forest protection. Ecometrica’s cloud-based mapping platform was used to establish regional EO Labs within the partner organizations: ECOSUR (Mexico), INPE and FUNCATE (Brazil) and the University of Edinburgh (UK). The regional networks of EO Labs have provided a unified view of forestry-related data that is easy to access. In Mexico and Brazil the EO Labs enabled collaboration between research organisations and NGOs to develop applications for monitoring forest change in specified study areas and has enabled the compilation of previously unavailable regional EO and other spatial datasets into products that can be used by researchers, NGOs and state governments. Data on forest loss was linked to dynamic earth system models developed by the University of Edinburgh and INPE, utilising the EO Labs to provide an intuitive and powerful environment in which non-expert end- users can investigate the results from the huge datasets produced by multi-run model simulations. This paper demonstrates and discusses examples of mapping applications created on Ecometrica EO Labs by ECOSUR, INPE and the University of Edinburgh as part of this project, illustrating how cloud technology can enhance the field of forest protection.
Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model

Identification of infrastructure and human damage assessment tweets is beneficial to disaster management organizations as well as victims during a disaster. Most of the prior works focused on the detection of informative/situational tweets, and infrastructure damage, only one focused on human damage. This study presents a novel approach for detecting damage assessment tweets involving infrastructure and human damages. We investigated the potential of the Bidirectional Encoder Representations from Transformer (BERT) model to learn universal contextualized representations targeting to demonstrate its effectiveness for binary and multi-class classification of disaster damage assessment tweets. The objective is to exploit a pre-trained BERT as a transfer learning mechanism after fine-tuning important hyper-parameters on the CrisisMMD dataset containing seven disasters. The effectiveness of fine-tuned BERT is compared with five benchmarks and nine comparable models by conducting exhaustive experiments. The findings show that the fine-tuned BERT outperformed all benchmarks and comparable models and achieved state-of-the-art performance by demonstrating up to 95.12% macro-f1-score, and 88% macro-f1-score for binary and multi-class classification. Specifically, the improvement in the classification of human damage is promising.