Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical laboratory medicine measurements correlation analysis under uncertainty

Background The Spearman rank correlation test under classical statistics cannot be applied when the paired data is in interval or indeterminacy is presented in the paired data. Methods In this paper, the Spearman rank correlation test under neutrosophic statistics will be introduced. The proposed Spearman rank correlation test will be a generalization of the existing Spearman rank correlation test. Results The proposed test is supposed to be more informative, flexible, and adequate to apply for the analysis of the measurement data. The application of the proposed test is given using the measurement of luteotropichormone data obtained from the clinical laboratory. Based on the information, the probability of accepting the null hypothesis H 0 N is 0.95, the chance of committing a type-I error is 0.05 and the chance of indeterminacy about the acceptance of H 0 N is 69%. Conclusions From the analysis, it is noted that the proposed test is more efficient in terms of the measure of indeterminacy as compared with the existing test. From the study, it is concluded that the proposed test is more informative, applicable and useable under an indeterminate environment as compared with the existing test under classical statistics. Therefore, it is recommended to apply the proposed test in clinical laboratories for testing the correlation between instruments.
Combined Orbital Decompression and Strabismus Surgery in Thyroid Eye Disease

In 1986, Shorr and Seiff1 described a staged approach for surgical rehabilitation for the treatment of patients with thyroid eye disease (TED). They suggested a 4-stage surgical strategy, where each specific surgical intervention was performed sequentially: (1) orbital decompression; (2) strabismus surgery; (3) surgical correction of eyelid malposition; and (4) upper and/or lower blepharoplasty. The rationale for this specific stepwise protocol is to allow the surgeon to adequately address any potential alterations induced from previous surgical interventions. For example, orbital decompression is recommended before strabismus surgery due to the risk of new onset or worsening diplopia following decompression surgery. Furthermore, this strategy suggests addressing strabismus before eyelid recession surgery. This is especially important in the lower eyelid due to possible impact on lower eyelid positioning resulting from the confluence of the inferior rectus muscle and inferior retractor complex. Although this staged treatment strategy has been widely adopted and followed by orbital surgeons over the last 35 years, several studies have demonstrated satisfactory outcomes when these rehabilitative procedures are performed simultaneously, potentially challenging the stepwise, single procedure approach in some situations.2–5 This article highlights important considerations for orbital decompression and strabismus surgeries in TED rehabilitation. Furthermore, this work discusses the potential advantages and nuances associated with combined surgical interventions, simultaneously treating both proptosis and strabismus.
Cap‐independent translation: A shared mechanism for lifespan extension by rapamycin, acarbose, and 17α‐estradiol

We hypothesized that rapamycin (Rapa), acarbose (ACA), which both increase mouse lifespan, and 17α‐estradiol, which increases lifespan in males (17aE2) all share common intracellular signaling pathways with long‐lived Snell dwarf, PAPPA‐KO, and Ghr−/− mice. The long‐lived mutant mice exhibit reduction in mTORC1 activity, declines in cap‐dependent mRNA translation, and increases in cap‐independent translation (CIT). Here, we report that Rapa and ACA prevent age‐related declines in CIT target proteins in both sexes, while 17aE2 has the same effect only in males, suggesting increases in CIT. mTORC1 activity showed the reciprocal pattern, with age‐related increases blocked by Rapa, ACA, and 17aE2 (in males only). METTL3, required for addition of 6‐methyl‐adenosine to mRNA and thus a trigger for CIT, also showed an age‐dependent increase blunted by Rapa, ACA, and 17aE2 (in males). Diminution of mTORC1 activity and increases in CIT‐dependent proteins may represent a shared pathway for both long‐lived‐mutant mice and drug‐induced lifespan extension in mice.
Ranibizumab in retinopathy of prematurity – one-year follow-up of ophthalmic outcomes and two-year follow-up of neurodevelopmental outcomes from the CARE-ROP study

The primary endpoint results from the comparing alternative ranibizumab dosages for safety and efficacy in retinopathy of prematurity (CARE‐ROP) core study identified ranibizumab as an effective treatment to control acute retinopathy of prematurity (ROP). This study reports the 1‐ and 2‐year follow‐up data focusing on long‐term functional outcomes and safety.
Occipital sleep spindles predict sequence learning in a visuo-motor task

Abstract Study Objectives The brain appears to use internal models to successfully interact with its environment via active predictions of future events. Both internal models and the predictions derived from them are based on previous experience. However, it remains unclear how previously encoded information is maintained to support this function, especially in the visual domain. In the present study, we hypothesized that sleep consolidates newly encoded spatio-temporal regularities to improve predictions afterwards. Methods We tested this hypothesis using a novel sequence-learning paradigm that aimed to dissociate perceptual from motor learning. We recorded behavioral performance and high-density electroencephalography (EEG) in male human participants during initial training and during testing two days later, following an experimental night of sleep (n = 16, including high-density EEG recordings) or wakefulness (n = 17). Results Our results show sleep-dependent behavioral improvements correlated with sleep-spindle activity specifically over occipital cortices. Moreover, event-related potential (ERP) responses indicate a shift of attention away from predictable to unpredictable sequences after sleep, consistent with enhanced automaticity in the processing of predictable sequences. Conclusions These findings suggest a sleep-dependent improvement in the prediction of visual sequences, likely related to visual cortex reactivation during sleep spindles. Considering that controls in our experiments did not fully exclude oculomotor contributions, future studies will need to address the extent to which these effects depend on purely perceptual versus oculomotor sequence learning.
Measuring knowledge of multiple word meanings in children with English as a first and an additional language and the relationship to reading comprehension

Abstract Polysemy, or the property of words having multiple meanings, is a prevalent feature of vocabulary. In this study we validated a new measure of polysemy knowledge for children with English as an additional language (EAL) and a first language (EL1) and examined the relationship between polysemy knowledge and age, language status, and reading comprehension. Participants were 112 British children aged 5 to 6 (n = 61) or 8 to 9 years (n = 51), 37% of whom had EAL (n = 41). Participants completed the new measure of knowledge of polysemes, along with other measures of language, literacy and cognitive ability. The new measure was reliable and valid with EAL and EL1 children. Age and language status predicted children's polyseme knowledge. Polyseme knowledge uniquely contributed to reading comprehension after controlling for age, language status, non-verbal intelligence, time reading in English, and breadth of vocabulary. This research underscores the importance of polysemy for children's linguistic development.
Challenges and recommendations for magnetic hyperthermia characterization measurements

Abstract Purpose The localized heating of magnetic nanoparticles (MNPs) via the application of time-varying magnetic fields – a process known as magnetic field hyperthermia (MFH) – can greatly enhance existing options for cancer treatment; but for broad clinical uptake its optimization, reproducibility and safety must be comprehensively proven. As part of this effort, the quantification of MNP heating – characterized by the specific loss power (SLP), measured in W/g, or by the intrinsic loss power (ILP), in Hm2/kg – is frequently reported. However, in SLP/ILP measurements to date, the apparatus, the analysis techniques and the field conditions used by different researchers have varied greatly, leading to questions as to the reproducibility of the measurements. Materials and Methods An interlaboratory study (across N = 21 European sites) of calorimetry measurements that constitutes a snapshot of the current state-of-the-art within the MFH community has been undertaken. Identical samples of two stable nanoparticle systems were distributed to all participating laboratories. Raw measurement data as well as the results of in-house analysis techniques were collected along with details of the measurement apparatus used. Raw measurement data was further reanalyzed by universal application of the corrected-slope method to examine relative influences of apparatus and results processing. Results The data show that although there is very good intralaboratory repeatability, the overall interlaboratory measurement accuracy is poor, with the consolidated ILP data having standard deviations on the mean of ca. ± 30% to ± 40%. There is a strong systematic component to the uncertainties, and a clear rank correlation between the measuring laboratory and the ILP. Both of these are indications of a current lack of normalization in this field. A number of possible sources of systematic uncertainties are identified, and means determined to alleviate or minimize them. However, no single dominant factor was identified, and significant work remains to ascertain and remove the remaining uncertainty sources. Conclusion We conclude that the study reveals a current lack of harmonization in MFH characterization of MNPs, and highlights the growing need for standardized, quantitative characterization techniques for this emerging medical technology.
Neutral sphingomyelinase‐2 and cardiometabolic diseases

Sphingolipids, in particular ceramides, play vital role in pathophysiological processes linked to metabolic syndrome, with implications in the development of insulin resistance, pancreatic ß‐cell dysfunction, type 2 diabetes, atherosclerosis, inflammation, nonalcoholic steatohepatitis, and cancer. Ceramides are produced by the hydrolysis of sphingomyelin, catalyzed by different sphingomyelinases, including neutral sphingomyelinase 2 (nSMase2), whose dysregulation appears to underlie many of the inflammation‐related pathologies. In this review, we discuss the current knowledge on the biochemistry of nSMase2 and ceramide production and its regulation by inflammatory cytokines, with particular reference to cardiometabolic diseases. nSMase2 contribution to pathogenic processes appears to involve cyclical feed‐forward interaction with proinflammatory cytokines, such as TNF‐α and IL‐1ß, which activate nSMase2 and the production of ceramides, that in turn triggers the synthesis and release of inflammatory cytokines. We elaborate these pathogenic interactions at the molecular level and discuss the potential therapeutic benefits of inhibiting nSMase2 against inflammation‐driven cardiometabolic diseases.
GPR12 inhibits migration and promotes apoptosis in esophageal cancer and hypopharyngeal cancer cells

G protein‐coupled receptor 12 (GPR12) is an orphan receptor with no confirmed endogenous ligands. It plays important roles in both physiological and pathological conditions such as neurogenesis and neural inflammation. However, it remains unclear whether GPR12 regulates carcinogenesis and progression in head and neck squamous cell carcinoma (HNSCC), such as esophageal cancer (EC) and hypopharyngeal cancer (HC).
The challenges of generalizability in artificial intelligence for ADME/Tox endpoint and activity prediction

ABSTRACT Introduction Artificial intelligence (AI) has seen a massive resurgence in recent years with wide successes in computer vision, natural language processing, and games. The similar creation of robust and accurate AI models for ADME/Tox endpoint and activity prediction would be revolutionary to drug discovery pipelines. There have been numerous demonstrations of successful applications, but a key challenge remains: how generalizable are these predictive models? Areas covered The authors present a summary of current promising components of AI models in the context of early drug discovery where ADME/Tox endpoint and activity prediction is the main driver of the iterative drug design process. Following that is a review of applicability domains and dataset construction considerations which determine generalizability bottlenecks for AI deployment. Further reviewed is the role of promising learning frameworks – multitask, transfer, and meta learning – which leverage auxiliary data to overcome issues of generalizability. Expert opinion The authors conclude that the most promising direction toward integrating reliable and informative AI models into the drug discovery pipeline is a conjunction of learned feature representations, deep learning, and novel learning frameworks. Such a solution would address the sparse and incomplete datasets that are available for key endpoints related to drug discovery.
Comparative analysis of two isocyanate-free urethane-based gels for antifouling applications

Abstract Amphiphilic gels consisting of acrylamide (AAM)/2-hydroxyethyl methacrylate (HEMA), hexafluorobutyl methacrylate (HFBMA) and non-isocyanate urethane dimethacrylate (NIUDMA) of varying molecular weights were compared. A three-level Taguchi analysis was performed using the amount of AAM/HEMA, HFBMA, NIUDMA and reaction time as dependent variables to determine the optimal formulation of the gels with maximized toughness and elastic modulus. The results were compared with commercial AF/FR Intersleek® coatings (IS 700, IS 900 and IS 1100SR) for their antifouling performance against a marine microalga (Navicula incerta), a marine bacterium (Cellulophaga lytica) and adult barnacles (Amphibalanus amphitrite). The toughness, elastic modulus and strain at break of the optimized AAM gels ranged from 3 to7 MPa, 25 to 72 MPa and 80% to 170%, respectively, whereas those of the optimized HEMA gels ranged from 1 to 3 MPa, 13 to 23 MPa and 76% to 160%, respectively. The gels, particularly AHN(E9) and HHN(E12), showed reductions of attachment compared with IS700 of up to 93% and 58%, respectively. Graphical Abstract
Knowledge, attitude, practice and perception on sunscreen and skin cancer among doctors and pharmacists.

INTRODUCTION Excessive ultraviolet light (UV) can cause premature skin aging and potentially skin cancer. Currently there is a lack of awareness among health care professionals and the public on sun protection. The objectives of this study were to determine knowledge on sunscreen and skin cancer among health care professionals, to evaluate the knowledge, attitude, practice and perception of doctors and pharmacists toward the usage of sunscreen as protection against UV radiation. MATERIALS AND METHODS This is a cross-sectional study conducted among doctors and pharmacists in Hospital Sultanah Nora Ismail, Batu Pahat, Johor, Malaysia. Questionnaires were used in this study. RESULTS A total of 384 participants completed the questionnaires. The participants consisted of 323 doctors (84.1%) and 61 pharmacists (15.9%). The age group of the participants ranged between 25 till 55 years old. Ninety doctors (27.9%) and thirty-one pharmacists (51.0%) reported used sunscreen daily (p<0.001). This finding showed that there was a deficit in the practice of sun protection. Pharmacists scored a higher knowledge score of median 12 (IQR=3.0) while the doctors scored 11 (IQR=2.0). This study showed a significant association between ethnicity and skin cancer knowledge (p<0.05). CONCLUSION This study demonstrated a lack of knowledge of sunscreen and skin cancer prevention among health care practitioners. This finding supports better medical education program on this topic.
Evolutionary implications of dental anomalies in bats

The gain or loss of anatomical features is an important mechanism of morphological evolution and ecological adaptation. Dental anomalies—the loss or gain of teeth—are widespread and a potential source of craniodental specialization among mammals, yet their macroevolutionary patterns have been rarely explored. We present the first phylogenetic comparative study of dental anomalies across the second largest mammal Order, Chiroptera (bats). We conducted an extensive literature review and surveyed a large sample of museum specimens to analyze the types and prevalence of dental anomalies across bats, and performed phylogenetic comparative analyses to investigate the role of phylogenetic history and dietary specialization on incidence of dental anomalies. We found dental anomalies have a significant phylogenetic signal, suggesting they are not simply the result of idiosyncratic mutations or random developmental disorders, but may have ancestral genetic origins or result from shared developmental pathways among closely related species. The incidence of dental anomalies was not associated with diet categories, suggesting no effect of craniodental specialization on dental anomalies across bats. Our results give insight into the macroevolutionary patterns of dental anomalies in bats, and provide a foundation for investigating new hypotheses underlying the evolution of dental variation and diversity in mammals.
Label-Free Deep Profiling of the Tumor Microenvironment

The proposed computational framework allows label-free microscopic analysis that quantifies the complexity and heterogeneity of the tumor microenvironment and opens possibilities for better characterization and utilization of the evolving cancer landscape. Label-free nonlinear microscopy enables nonperturbative visualization of structural and metabolic contrast within living cells in their native tissue microenvironment. Here a computational pipeline was developed to provide a quantitative view of the microenvironmental architecture within cancerous tissue from label-free nonlinear microscopy images. To enable single-cell and single-extracellular vesicle (EV) analysis, individual cells, including tumor cells and various types of stromal cells, and EVs were segmented by a multiclass pixelwise segmentation neural network and subsequently analyzed for their metabolic status and molecular structure in the context of the local cellular neighborhood. By comparing cancer tissue with normal tissue, extensive tissue reorganization and formation of a patterned cell–EV neighborhood was observed in the tumor microenvironment. The proposed analytic pipeline is expected to be useful in a wide range of biomedical tasks that benefit from single-cell, single–EV, and cell-to-EV analysis. Significance: The proposed computational framework allows label-free microscopic analysis that quantifies the complexity and heterogeneity of the tumor microenvironment and opens possibilities for better characterization and utilization of the evolving cancer landscape.
Assessment of the hierarchical involvement of chemical characteristics of soil layer particles during bacterial retention in Central Africa

The main purpose of this investigation was to rank, in hierarchical order, some soil chemical factors that impact the sorption parameters of fecal indicator bacteria and Salmonella sp, during their transfer from soil surface to the groundwater table. Sorption coefficients (Kf) and linearity exponents (Ϫ) were obtained using the Freundlich isotherm. When Salmonella sp was present alone, the values of Kf varied from 2.70 log units mg−1 to 7.84 log units mg−1 of soil, and Ϫ varied from 0.04 to 2.70. When the two fecal indicator bacteria were present, Kf varied from 0.48 log units mg−1 to 8.53 log units mg−1 of soil, and Ϫ varied from 0.06 to 1.19. When fecal indicator bacteria and Salmonella sp were mixed, Kf varied from 1.73 log units mg−1 to 7.70 log units mg−1 of soil, and Ϫ varied from 0.09 to 0.88. The predominant factors controlling each sorption parameter varied with respect to soil layer and the bacterial species involved.
COMBINE: a coalesced mammal database of intrinsic and extrinsic traits.

The use of species' traits in macroecological analyses has gained popularity in the last decade, becoming an important tool to understand global biodiversity patterns. Currently, trait data can be found across a wide variety of data sets included in websites, articles, and books, each one with its own taxonomic classification, set of traits and data management methodology. Mammals, in particular, are among the most studied taxa, with large sources of trait information readily available. To facilitate the use of these data, we did an extensive review of published mammal trait data sources between 1999 and May 2020 and produced COMBINE: a COalesced Mammal dataBase of INtrinsic and Extrinsic traits. Our aim was to create a taxonomically integrated database of mammal traits that maximized trait number and coverage without compromising data quality. COMBINE contains information on 54 traits for 6,234 extant and recently extinct mammal species, including information on morphology, reproduction, diet, biogeography, life-habit, phenology, behavior, home range and density. Additionally, we calculated other relevant traits such as habitat and altitudinal breadths for all species and dispersal for terrestrial non-volant species. All data are compatible with the taxonomies of the IUCN Red List v. 2020-2 and PHYLACINE v. 1.2. Missing data were adequately flagged and imputed for non-biogeographical traits with 20% or more data available. We obtained full data sets for 21 traits such as female maturity, litter size, maximum longevity, trophic level, and dispersal, providing imputation performance statistics for all. This data set will be especially useful for those interested in including species' traits in large-scale ecological and conservation analyses. There are no copyright or proprietary restrictions; we request citation of this publication and all relevant underlying data sources (found in Data S1: trait_data_sources.csv), upon using these data.
Engagement in Favorite Activity and Implications for Cognition, Mental Health, and Function in Persons Living With and Without Dementia

Little is known about the impact of engagement in personally meaningful activities for older adults. Thus, this study examines the impact of engagement in one’s favorite activity on cognitive, emotional, functional, and health-related outcomes in older adults with and without cognitive impairment. Data were obtained from 1,397 persons living with dementia (PLWD) and 4,719 cognitively healthy persons (CHP) who participated in wave 2 of the National Health and Aging Trends Study (NHATS). Sociodemographic characteristics were examined by cognitive status. A multivariate analysis of variance indicated that, for PLWD, engagement in favorite activity was associated with greater functional independence and decreased depression. For CHP, engagement in favorite activity was associated with greater functional independence, decreased depression and anxiety, and better performance on memory measures. Findings suggest that engagement in valued activities that are considered personally meaningful may have significant and distinct benefits for persons with and without dementia.