bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design, synthesis, and biological evaluation of dinaciclib and CAN508 hybrids as CDK inhibitors
Authors: Odeh Dana M. , Allam Heba Abdelrasheed , Baselious Fady , Mahmoud Walaa R. , Odeh Mohanad M. , Ibrahim Hany S. , Abdel‐Aziz Hatem A. , Mohammed Eman R. 
Published: April 2024

AbstractThe scaffolds of two known CDK inhibitors (CAN508 and dinaciclib) were the starting point for synthesizing two series of pyarazolo[1,5‐a]pyrimidines to obtain potent inhibitors with proper selectivity. The study presented four promising compounds; 10d, 10e, 16a, and 16c based on cytotoxic studies. Compound 16a revealed superior activity in the preliminary anticancer screening with GI % = 79.02–99.13 against 15 cancer cell lines at 10 μM from NCI full panel 60 cancer cell lines and was then selected for further investigation. Furthermore, the four compounds revealed good safety profile toward the normal cell lines WI‐38. These four compounds were subjected to CDK inhibitory activity against four different isoforms. All of them showed potent inhibition against CDK5/P25 and CDK9/CYCLINT. Compound 10d revealed the best activity against CDK5/P25 (IC50 = 0.063 µM) with proper selectivity index against CDK1 and CDK2. Compound 16c exhibited the highest inhibitory activity against CDK9/CYCLINT (IC50 = 0.074 µM) with good selectivity index against other isoforms. Finally, docking simulations were performed for compounds 10e and 16c accompanied by molecular dynamic simulations to understand their behavior in the active site of the two CDKs with respect to both CAN508 and dinaciclib.
Endoscopic assessment of the J pouch in ulcerative colitis: A narrative review
Authors: Akiyama Shintaro , Barnes Edward L , Onoda Tsubasa , Ishikawa Naoki , Shiroyama Mamiko , Ito Yuka , Rubin David T , Tsuchiya Kiichiro 
Published: April 2024

AbstractPatients with ulcerative colitis sometimes need a total colectomy with ileal pouch‐anal anastomosis due to medically refractory disease or colitis‐associated neoplasia. Up to 50% of patients with ulcerative colitis postoperatively develop pouchitis and the rate of chronic inflammatory pouch conditions requiring pouch excision or diverting ileostomy is reported to be 10%. In order to diagnose and monitor pouchitis, pouchoscopy is essential to assess endoscopic inflammatory findings of the J pouch and to survey neoplasia development, particularly in the remnant distal rectum. However, endoscopic protocols for the evaluation of the pouch may not be standardized worldwide and the reliability of existing disease activity indices for pouchitis has been questioned due to the lack of validation. Recently, reliable endoscopic scoring systems based on an observation of the anatomical location of the J pouch were reported and a significant association between the distribution pattern of endoscopic inflammation (i.e., endoscopic phenotype) and pouch outcomes was also uncovered. In this review, we discuss how to survey the J pouch using pouchoscopy, endoscopic indices for pouchitis disease activity, endoscopic phenotypes and classification, and the pathological mechanisms of pouchitis phenotype in patients with ulcerative colitis.
Allometric relationships and trade‐offs in 11 common Mediterranean‐climate grasses
Authors: Gao Xiulin , Koven Charles D. , Kueppers Lara M. 
Published: April 2024

AbstractBiomass allocation in plants is the foundation for understanding dynamics in ecosystem carbon balance, species competition, and plant–environment interactions. However, existing work on plant allometry has mainly focused on trees, with fewer studies having developed allometric equations for grasses. Grasses with different life histories can vary in their carbon investment by prioritizing the growth of specific organs to survive, outcompete co‐occurring plants, and ensure population persistence. Further, because grasses are important fuels for wildfire, the lack of grass allocation data adds uncertainty to process‐based models that relate plant physiology to wildfire dynamics. To fill this gap, we conducted a greenhouse experiment with 11 common California grasses varying in photosynthetic pathway and growth form. We measured plant sizes and harvested above‐ and belowground biomass throughout the life cycle of annual species, while for the establishment stage of perennial grasses to quantify allometric relationships for leaf, stem, and root biomass, as well as plant height and canopy area. We used basal diameter as a reference measure of plant size. Overall, basal diameter is the best predictor for leaf and stem biomass, height, and canopy area. Including height as another predictor can improve model accuracy in predicting leaf and stem biomass and canopy area. Fine root biomass is a function of leaf biomass alone. Species vary in their allometric relationships, with most variation occurring for plant height, canopy area, and stem biomass. We further explored potential trade‐offs in biomass allocation across species between leaf and fine root, leaf and stem, and allocation to reproduction. Consistent with our expectation, we found that fast‐growing plants allocated a greater fraction to reproduction. Additionally, plant height and specific leaf area negatively influenced the leaf‐to‐stem ratio. However, contrary to our hypothesis, there were no differences in root‐to‐leaf ratio between perennial and annual or C4 and C3 plants. Our study provides species‐specific and functional‐type‐specific allometry equations for both above‐ and belowground organs of 11 common California grass species, enabling nondestructive biomass assessment in California grasslands. These allometric relationships and trade‐offs in carbon allocation across species can improve ecosystem model predictions of grassland species interactions and environmental responses through differences in morphology.
Ecology of fear alters behavior of grizzly bears exposed to bear‐viewing ecotourism
Authors: Short Monica L. , Service Christina N. , Suraci Justin P. , Artelle Kyle A. , Field Kate A. , Darimont Chris T. 
Published: April 2024

AbstractHumans are perceived as predators by many species and may generate landscapes of fear, influencing spatiotemporal activity of wildlife. Additionally, wildlife might seek out human activity when faced with predation risks (human shield hypothesis). We used the anthropause, a decrease in human activity resulting from the COVID‐19 pandemic, to test ecology of fear and human shield hypotheses and quantify the effects of bear‐viewing ecotourism on grizzly bear (Ursus arctos) activity. We deployed camera traps in the Khutze watershed in Kitasoo Xai'xais Territory in the absence of humans in 2020 and with experimental treatments of variable human activity when ecotourism resumed in 2021. Daily bear detection rates decreased with more people present and increased with days since people were present. Human activity was also associated with more bear detections at forested sheltered sites and less at exposed sites, likely due to the influence of habitat on bear perception of safety. The number of people negatively influenced adult male detection rates, but we found no influence on female with young detections, providing no evidence that females responded behaviorally to a human shield effect from reduced male activity. We also observed apparent trade‐offs of risk avoidance and foraging. When salmon levels were moderate to high, detected bears were more likely to be females with young than adult males on days with more people present. Should managers want to minimize human impacts on bear activity and maintain baseline age–sex class composition at ecotourism sites, multiday closures and daily occupancy limits may be effective. More broadly, this work revealed that antipredator responses can vary with intensity of risk cues, habitat structure, and forage trade‐offs and manifest as altered age–sex class composition of individuals using human‐influenced areas, highlighting that wildlife avoid people across multiple spatiotemporal scales.
Neural substrates of affective temperaments: An intersubject representational similarity analysis to resting‐state functional magnetic resonance imaging in nonclinical subjects
Authors: Qiu Yidan , Wu Xiaoyan , Liu Bingyi , Huang Ruiwang , Wu Huawang 
Published: April 2024

AbstractPrevious research has suggested that certain types of the affective temperament, including depressive, cyclothymic, hyperthymic, irritable, and anxious, are subclinical manifestations and precursors of mental disorders. However, the neural mechanisms that underlie these temperaments are not fully understood. The aim of this study was to identify the brain regions associated with different affective temperaments. We collected the resting‐state functional magnetic resonance imaging (fMRI) data from 211 healthy adults and evaluated their affective temperaments using the Temperament Evaluation of Memphis, Pisa, Paris and San Diego Autoquestionnaire. We used intersubject representational similarity analysis to identify brain regions associated with each affective temperament. Brain regions associated with each affective temperament were detected. These regions included the prefrontal cortex, anterior cingulate cortex (ACC), precuneus, amygdala, thalami, hippocampus, and visual areas. The ACC, lingual gyri, and precuneus showed similar activity across several affective temperaments. The similarity in related brain regions was high among the cyclothymic, irritable, and anxious temperaments, and low between hyperthymic and the other affective temperaments. These findings may advance our understanding of the neural mechanisms underlying affective temperaments and their potential relationship to mental disorders and may have potential implications for personalized treatment strategies for mood disorders.
Early intervention and care for Diabetic Foot Ulcers in Low and Middle Income Countries: Addressing challenges and exploring future strategies: A narrative review
Authors: Swaminathan Niranjna , Awuah Wireko Andrew , Bharadwaj Hareesha Rishab , Roy Sakshi , Ferreira Tomas , Adebusoye Favour Tope , Ismail Isma Farah Nurlisa binti , Azeem Saleha , Abdul‐Rahman Toufik , Papadakis Marios 
Published: April 2024

AbstractBackground and AimsDiabetic Foot Ulcers (DFUs) are a significant health concern, particularly in Low‐ and Middle‐Income Countries (LMICs). This review explores key strategies for managing DFUs in LMICs, including integrating podiatry, endocrinology, and wound care services, educating patients, promoting self‐care, and preventive measures to reduce amputation rates.MethodsA comprehensive literature review was conducted, focusing on studies conducted in Low and Middle Income Countries to facilitate a qualitative analysis. The review examined the aetiology and risk factors to developing DFUs, clinical presentation, multidisciplinary management and evidence based interventions, challenges to the provision of care and future directions, all pertaining to DFUs in low and middle income countries.ResultsThe aetiology and risk factors contributing to the development of DFUs are complex and multifaceted. Factors such as limited access to health care, inadequate diabetes management, and socioeconomic disparities significantly influence the incidence of DFUs. Clinical presentation varies, with patients often presenting at advanced stages of the disease due to delayed or missed diagnoses. Multidisciplinary management, incorporating podiatry, endocrinology, and wound care services, has exhibited substantial promise in enhancing patient outcomes. Evidence‐based interventions, including offloading techniques, wound debridement, and the use of advanced wound dressings, have proven effective in promoting ulcer healing.ConclusionThe burden of DFUs in LMICs requires comprehensive strategies. Integrating podiatry, endocrinology, and wound care services, along with patient education and self‐care practices, is essential for reducing amputations and improving patients' quality of life. Regular follow‐up and early detection are vital for effective DFU management, emphasizing the need for ongoing research and investment in LMIC health care infrastructure. Embracing these multidisciplinary, patient‐centered approaches can effectively address the challenge of DFUs in LMICs, leading to better patient outcomes and improved quality of life.
Transcriptomic analysis reveals the crosstalk between type 2 diabetes and chronic pancreatitis
Authors: Chen Youlan , Hao Lixiao , Cong Jun , Ji Jianmei , Dai Yancheng , Xu Li , Gong Biao 
Published: April 2024

AbstractBackground and AimsMounting evidence highlights a strong association between chronic pancreatitis (CP) and type 2 diabetes (T2D), although the exact mechanism of interaction remains unclear. This study aimed to investigate the crosstalk genes and pathogenesis between CP and T2D.MethodsTranscriptomic gene expression profiles of CP and T2D were extracted from Gene Expression Omnibus, respectively, and the common differentially expressed genes (DEGs) were subsequently identified. Further analysis, such as Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein–protein interaction, transcription factors (TFs), microRNA (miRNAs), and candidate chemicals identification, was performed to explore the possible common signatures between the two diseases.ResultsIn total, we acquired 281 common DEGs by interacting CP and T2D datasets, and identified 10 hub genes using CytoHubba. GO and KEGG analyses revealed that endoplasmic reticulum stress and mitochondrial dysfunction were closely related to these common DEGs. Among the shared genes, EEF2, DLD, RAB5A, and SLC30A9 showed promising diagnostic value for both diseases based on receiver operating characteristic curve and precision‐recall curves. Additionally, we identified 16 key TFs and 16 miRNAs that were strongly correlated with the hub genes, which may serve as new molecular targets for CP and T2D. Finally, candidate chemicals that might become potential drugs for treating CP and T2D were screened out.ConclusionThis study provides evidence that there are shared genes and pathological signatures between CP and T2D. The genes EEF2, DLD, RAB5A, and SLC30A9 have been identified as having the highest diagnostic efficiency and could be served as biomarkers for these diseases, providing new insights into precise diagnosis and treatment for CP and T2D.
How underinvestment reduces underpricing
Authors: Bade Marco , Hirth Hans 
Published: April 2024

AbstractWe develop an economic model demonstrating that firms can benefit from committing to underinvestment. The model considers a firm's IPO, secondary‐market trading and subsequent investment decision. We analyse the conditions under which underinvestment can paradoxically be advantageous despite reducing the fundamental value of the firm. The benefit of committing to underinvest post‐IPO is expressed in reduced underpricing and thus a higher valuation during the IPO. We furthermore show that the firm may commit to an inefficient investment policy by appointing a manager with biased expectations or risk aversion. Our findings imply that, under certain conditions, firms are better off relying on biased managers when their initial outlook is poor, but risk‐averse managers when their initial outlook is good.
Using atomic clustering based on structural and electronic descriptors that consider surrounding environment to evaluate local properties of DFT functionals
Authors: Nakajima Yuya , Ohmura Takuto , Seino Junji 
Published: April 2024

AbstractWe developed a method for evaluating the accuracies of the local properties of DFT functionals in detail using a clustering method based on machine learning and structural/electronic descriptors. We generated 36 clusters consistent with human intuition using 30,436 carbon atoms from the QM9 dataset. The results were used to evaluate 13C NMR chemical shifts calculated using 84 DFT functionals. Carbon atoms were grouped based on their similar environments, reducing errors within these groups. This enables more accurate assessment of the accuracy using a specific DFT functional. Therefore, the present atomic clustering provides more detailed insight into accuracy verification.
5th Argentinean Meeting on Evolutionary Biology (RABE V): Report on the “Evo‐Devo” Extended Symposium
Authors: Zattara Eduardo E. , Strelin Marina M. 
Published: April 2024

AbstractEvolutionary developmental biology (Evo‐Devo) is flourishing in Latin America, particularly Argentina, where researchers are leveraging this integrative field to unlock the secrets of the region's remarkable biodiversity. A recent symposium held at the 5th Argentinean Meeting on Evolutionary Biology (RABE V) showcased a vibrant Evo‐Devo community and the diversity of its research endeavors. The symposium included 3 plenary talks, 3 short talks, and 12 posters, and spanned a range of organisms and approaches. Interestingly, the symposium highlighted a prevalence of “top‐down” Evo‐Devo studies in the region, where researchers first analyze existing diversity and then propose potential developmental mechanisms. This approach, driven in part by financial constraints and the region's historical focus on natural history, presents a unique opportunity to bridge disciplines like comparative biology, paleontology, and botany. The symposium's success underscores the vital role of Evo‐Devo in Latin America, not only for advancing our understanding of evolution but also for providing valuable tools to conserve and manage the region's irreplaceable biodiversity. As Evo‐Devo continues to grow in Latin America, fostering collaboration and knowledge exchange within the region and beyond will be crucial for realizing the full potential of this transformative field.
On the number of minimum dominating sets and total dominating sets in forests
Authors: Petr Jan , Portier Julien , Versteegen Leo 
Published: April 2024

AbstractWe show that the maximum number of minimum dominating sets of a forest with domination number is at most and construct for each a tree with domination number that has more than minimum dominating sets. Furthermore, we disprove a conjecture about the number of minimum total dominating sets in forests by Henning, Mohr and Rautenbach.
On λ $\lambda $‐backbone coloring of cliques with tree backbones in linear time
Authors: Michalik Krzysztof , Turowski Krzysztof 
Published: April 2024

AbstractA ‐backbone coloring of a graph with its subgraph (also called a backbone) is a function ensuring that is a proper coloring of and for each it holds that . In this paper we propose a way to color cliques with tree and forest backbones in linear time that the largest color does not exceed . This result improves on the previously existing approximation algorithms as it is ‐absolutely approximate, that is, with an additive error over the optimum. We also present an infinite family of trees with for which the coloring of cliques with backbones requires at least colors for close to . The construction draws on the theory of Fibonacci numbers, particularly on Zeckendorf representations.
Full‐body skin examination in screening for cutaneous malignancy: A focus on concealed sites and the practices of international dermatologists
Authors: Pham James P. , Allen Nicholas , Star Phoebe , Cust Anne , Guitera Pascale , Marghoob Ashfaq A. , Paoli John , Zalaudek Iris , Smith Annika 
Published: April 2024

AbstractBackgroundFull‐body skin examination (FSE) is fundamental to the diagnosis of cutaneous malignancy but may not always include concealed site examination (CSE).ObjectivesTo determine the approach of international dermatologists to CSE during FSE and examine influencing factors, barriers and attitudes toward CSE.MethodsMembers of the International Dermoscopy Society were surveyed using an online 12‐question survey disseminated via email.ResultsThere were 706 completed responses among 1249 unique clicks to the survey, representing a completion rate of 56.5%. Fifty‐four percent of respondents reported always examining the breasts, while 52.8%, 18.8%, and 11.8% always examined the scalp, oral, and anogenital mucosa, respectively. The most frequent reason for examining concealed sites was patient concern, whilst common reasons for not examining concealed sites included low incidence of pathology and concern regarding allegations of sexual misconduct.ConclusionsOur findings allude to the need for international consensus guidelines regarding the conduct and inclusion of concealed or sensitive sites in routine FSE. This is essential to define clinician responsibilities, inform patient expectations of care, and thereby mitigate potential medicolegal repercussions.
Effectiveness of physical soil and water conservation measures under simulated and observed dataset in Ethiopia: Meta‐analysis
Authors: Abebe Tilahun Getachew , Tesfay Fikrey , Lemma Tesfaye Mebrate , Getahun Yitea Seneshaw 
Published: April 2024

AbstractTo combat land degradation through conserving soil and water resources, Ethiopia has undergone vigorous implementation of soil and water conservation (SWC) measures, predominantly physical structures. To evaluate the effectiveness of these implemented structures, various researches have been conducted through using both measured and simulated approaches. This study was initiated to analyze the reliability of SWAT‐based simulated studies results on the effectiveness of SWC measures toward erosion reduction potential against the measured dataset using unpaired t‐test statistical analysis. In this study, 123 published papers were downloaded, of which 70 were found to be more related to the objective of the review. After applying four refining criteria, only 43 were found more compatible with the study objective and used for data analysis. Studies conducted by different scholars show up to 98% and 93.50% soil loss reduction effectiveness by SWC measures in measured and simulated approaches, respectively. The simulated SWC measure efficiency output was also evaluated with respect to the ground‐measured data of the same structure within the same agroecology class. Finally, the unpaired t‐test results indicated that the grass strip in the mid‐highland agroecology showed a significant difference from the measured one at a 95% significance level. However, none of the other measures showed significant differences between the measured and simulated datasets. Hence, the SWAT model can effectively simulate the effectiveness of physical SWC measures on soil loss reduction if it is well‐calibrated and validated with sediment yield data. Refining model parameters that can be sufficiently captured and represent biological measures (grass strip), incorporating additional field data for calibration and validation coupled with exploring alternative modeling approaches that efficiently simulate biological SWC was set as a recommendation to obtain an effective biological measure simulation.