bluuebunny/crossref_metadata_2025_split huggingface dataset:
Eradicating an invasive mammal requires local elimination and reduced reinvasion from an urban source population
Authors: Patterson Charlotte R. , Lustig Audrey , Seddon Philip J. , Wilson Deborah J. , van Heezik Yolanda 
Published: March 2024

AbstractInvasive mammal eradications are increasingly attempted across large, complex landscapes. Sequentially controlled management zones can be at risk of reinvasion from adjacent uncontrolled areas, and managers must weigh the relative benefits of ensuring complete elimination from a zone or minimizing reinvasion risk. This is complicated in urban areas, where habitat heterogeneity and a lack of baseline ecological knowledge increase uncertainty. We applied a spatial agent‐based model to predict the reinvasion of a well‐studied species, the brushtail possum (Trichosurus vulpecula), across an urban area onto a peninsula that is the site of an elimination campaign in Aotearoa New Zealand. We represented fine‐scale urban habitat heterogeneity in a land cover layer and tested management scenarios that varied four factors: the density of possums remaining following an elimination attempt, the maintenance trap density on the peninsula, and effort expended toward preventing reinvasion by means of a high‐density trap buffer at the peninsula isthmus or control of the source population adjacent to the peninsula. We found that achieving complete elimination on the peninsula was crucial to avoid rapid repopulation. The urban isthmus was predicted to act as a landscape barrier and restrict immigration onto the peninsula, but reliance on this barrier alone would fail to prevent repopulation. In combination, complete elimination, buffer zone, and source population control could reduce the probability of possum repopulation to near zero. Our findings support urban landscape barriers as one tool for sequential invasive mammal elimination but reaffirm that novel methods to expose residual individuals to control will be necessary to secure elimination in management zones. Work to characterize the urban ecology of many invasive mammals is still needed.
Eating disorder symptoms and comorbid mental health risk among teens recruited to a digital intervention research study via two online approaches
Authors: Kasson Erin , Szlyk Hannah S. , Li Xiao , Constantino‐Pettit Anna , Smith Arielle C. , Vázquez Melissa M. , Wilfley Denise E. , Taylor C. Barr , Fitzsimmons‐Craft Ellen E. , Cavazos‐Rehg Patricia 
Published: March 2024

AbstractIntroductionIt is crucial to identify and evaluate feasible, proactive ways to reach teens with eating disorders (EDs) who may not otherwise have access to screening or treatment. This study aimed to explore the feasibility of recruiting teens with EDs to a digital intervention study via social media and a publicly available online ED screen, and to compare the characteristics of teens recruited by each approach in an exploratory fashion.MethodTeens aged 14–17 years old who screened positive for a clinical/subclinical ED or at risk for an ED and who were not currently in ED treatment completed a baseline survey to assess current ED symptoms, mental health comorbidities, and barriers to treatment. Bivariate analyses were conducted to examine differences between participants recruited via social media and those recruited after completion of a widely available online EDs screen (i.e., National Eating Disorders Association [NEDA] screen).ResultsRecruitment of teens with EDs using the two online approaches was found to be feasible, with 934 screens completed and a total of 134 teens enrolled over 6 months: 77% (n = 103) via social media 23% (n = 31) via the NEDA screen. Mean age of participants (N = 134) was 16 years old, with 49% (n = 66) identifying as non‐White, and 70% (n = 94) identifying as a gender and/or sexual minority. Teens from NEDA reported higher ED psychopathology scores (medium effect size) and more frequent self‐induced vomiting and driven exercise (small effect sizes). Teens from NEDA also endorsed more barriers to treatment, including not feeling ready for treatment and not knowing where to find a counselor or other resources (small effect sizes).DiscussionOnline recruitment approaches in this study reached a large number of teens with an interest in a digital intervention to support ED recovery, demonstrating the feasibility of these outreach methods. Both approaches reached teens with similar demographic characteristics; however, teens recruited from NEDA reported higher ED symptom severity and barriers to treatment. Findings suggest that proactive assessment and intervention methods should be developed and tailored to meet the needs of each of these groups.Public SignificanceThis study examined the feasibility of recruiting teens with EDs to a digital intervention research study via social media and NEDA's online screen, and demonstrated differences in ED symptoms among participants by recruitment approach.
Arboreal or terrestrial: Oviposition site of Zhangixalus frogs affects the thermal function of foam nests
Authors: Ichioka Yukio , Kajimura Hisashi 
Published: March 2024

AbstractTemperature is essential for the survival and development of eggs. Some anurans have evolved and developed foam nesting traits, with thermal insulation considered to be among their functions. Foam‐nesting frogs tend to exhibit reproductive plasticity. For example, they oviposit on both trees and the ground. How such plasticity affects foam nest function is of major relevance and is likely related to the adaptation of foam nesting frogs. However, this has not been well studied. In this study, we examined the interaction between foam nest site, foam nest function, and egg fate using the Japanese green tree frog, Zhangixalus arboreus, and analysed how nest site differences (arboreal or terrestrial) affect the thermal function of foam nests. We compared the thermal functions of foam nests between arboreal and terrestrial oviposition sites of Z. arboreus. We artificially replaced half of the arboreal nests with terrestrial environments and recorded temperature in and outside of the experimental terrestrial nest and original arboreal nests. We also examined egg survival and hatching rates for all the nests. The results indicated superior heat insulation in terrestrial nests, with warmer temperatures inside than outside the nests, especially at night, which led to a high egg survival rate. Therefore, terrestrial ovipositing should be valid under cold weather conditions. This may be related to the evolutionary history of oviposition site plasticity of this genus, which originally had an arboreal oviposition trait but evolved into terrestrial site use owing to global cooling. Our novel insights into the evolution and adaptivity of foam nesting and oviposition site use in Z. arboreus make an important contribution to animal ecology.
TLR2 on CD4+ and CD8+ T cells promotes control of Mycobacterium tuberculosis infection
Authors: Reba Scott M. , Li Qing , Onwuzulike Sophia , Nagy Nancy , Fletcher Shane , Parker Kyle , Shaw Rachel J , Umphred‐Wilson Katharine , Shukla Supriya , Harding Clifford V. , Boom W. Henry , Rojas Roxana E. 
Published: March 2024

AbstractAlthough a role for TLR2 on T cells has been indicated in prior studies, in vivo stimulation of TLR2 on T cells by Mtb and its impact on Mtb infection has not been tested. Furthermore, it is not known if the enhanced susceptibility to Mtb of Tlr2 gene knockout mice is due to its role in macrophages, T cells, or both. To address TLR2 on T cells, we generated Tlr2fl/flxCd4cre/cre mice, which lack expression of TLR2 on both CD4 and CD8 T cells, to study the in vivo role of TLR2 on T cells after aerosol infection with virulent Mtb. Deletion of TLR2 in CD4+ and CD8+ T cells reduces their ability to be co‐stimulated by TLR2 ligands for cytokine production. These include both pro‐ (IFN‐γ, TNF‐α) and anti‐inflammatory cytokines (IL‐10). Deletion of TLR2 in T cells affected control of Mtb in the lungs and spleens of infected mice. This suggests that T‐cell co‐stimulation by mycobacterial TLR2 ligands in vivo contributes to the control of Mtb infection in the lung and spleen.
Economic enhancement and grid‐frequency control of a wind farm‐CAES‐fuel cell‐based hybrid system
Authors: Das Shreya Shree , Kumar Jayendra 
Published: March 2024

AbstractIn the present era, the electrical network faces difficulty owing to the restricted supply of conventional energy resources. Solar and wind power are supremely acceptable renewable energy around the globe due to their cheap availability, zero fuel costs, and environmental safety features. Maintaining power balance in a renewable combined day‐ahead power network becomes challenging owing to the uncertainty of renewable sources, resulting in economic instability. An energy‐storing device is essential for combining renewable sources with existing thermal power plants to control the energy supply and maintain system stability. Any government agency in the deregulated market does not set up energy pricing. The ISO (independent system operator) is the primary organization in the day‐ahead power network that is responsible for collecting energy bids from DISCOs (distribution companies), TRANSCOs (transmission companies), and GENCOs (generation companies). The energy pricing is set by the market regulator at a rate known as Location‐based marginal pricing (LBMP), which provides benefits to GENCOs, and DISCOs as well as the customers. In a deregulated market, the unpredictability of renewable sources affects system profit owing to the creation of instability cost (ISC), induced by mismatching the bidding power production from the renewable plant. To lessen these concerns, the presented approach has proposed an innovative model that employs ideal scheduling of the WF (wind‐farm)‐CAES (compressed‐air‐energy‐storage)‐fuel cell (FC) hybrid systems to enhance system economic profitability while keeping the grid frequency (GF) in the safe zone. The fuel cell acts as the energy‐storing device that can be utilized during high‐demand times on the grid, with the ultimate goal of maximizing profits for the overall system. The CAES system's energy level is separated into four dissimilar points, and this study presents an optimum approach for efficiently using it to maintain grid frequency. The new strategy outperformed the previous methods in all categories. The study was performed using the IEEE 30 bus test system.
Impact of diabetes mellitus on tuberculosis prevention, diagnosis, and treatment from an immunologic perspective
Authors: Ye Zhaoyang , Li Linsheng , Yang Ling , Zhuang Li , Aspatwar Ashok , Wang Liang , Gong Wenping 
Published: March 2024

AbstractThe coexistence of diabetes mellitus (DM) and tuberculosis (TB) presents a significant global burden, with DM being recognized as a major risk factor for TB. This review comprehensively analyzes the immunological aspects of DM‐TB comorbidity, shedding light on the impact of DM on TB pathogenesis and immune responses. It reveals that high blood glucose levels in TB patients contribute to reduced innate immune cell count, compromised phagocytic function, and delayed antigen presentation. These factors ultimately impair the clearance of Mycobacterium tuberculosis (MTB) and delay adaptive immune responses. With the interaction between TB and DM, there is an increase in inflammation and elevated secretion of pro‐inflammatory cytokines by immune cells. This exacerbates the inflammatory response and contributes to poor treatment outcomes in TB. Moreover, the review explores the effects of DM on TB prevention, diagnosis, and treatment. It highlights how poor glycemic control, insulin resistance (IR), DM complications, and genetic factors increase the risk of MTB infection in individuals with DM. Additionally, DM‐related immune suppression adversely affects the sensitivity of traditional diagnostic tests for TB, potentially resulting in underdiagnosis and delayed intervention. To mitigate the burden of TB in DM patients, the review emphasizes the need for further research on the mechanisms underlying DM reactivation in latent TB infection (LTBI). It shows how important it is to find and treat LTBI in DM patients as soon as possible and suggests looking into biomarkers that are specific to DM to make diagnosis more accurate.
Forecasting regional industrial production with novel high‐frequency electricity consumption data
Authors: Lehmann Robert , Möhrle Sascha 
Published: March 2024

AbstractIn this paper, we study the predictive power of electricity consumption data for regional economic activity. Using unique high‐frequency electricity consumption data from industrial firms for the second‐largest German state, the Free State of Bavaria, we conduct a pseudo out‐of‐sample forecasting experiment for the monthly growth rate of Bavarian industrial production. We find that electricity consumption is the best performing indicator in the nowcasting setup and has higher accuracy than other conventional indicators in a monthly forecasting experiment. Exploiting the high‐frequency nature of the data, we find that the weekly electricity consumption indicator also provides good predictions about industrial activity in the current month with only 2 weeks of information. Overall, our results indicate that regional electricity consumption is a promising avenue for measuring and forecasting regional economic activity.
Forecasting peak electric load: Robust support vector regression with smooth nonconvex ϵ‐insensitive loss
Authors: Nie Rujia , Che Jinxing , Yuan Fang , Zhao Weihua 
Published: March 2024

AbstractPeak power load forecasting is a key part of the commercial operation of the energy industry. Although various load forecasting methods and technologies have been put forward and tested in practice, the growing subject of tolerance for abnormal accidents is to develop robust peak load forecasting models. In this paper, we propose a robust smooth non‐convex support vector regression method, which improves the robustness of the model by adjusting adaptive control loss values and adaptive robust parameters and by reducing the negative impact of outliers or noise on the decision function. A concave‐convex programming algorithm is used to solve the non‐convexity of the optimization problem. Good results are obtained in both linear regression model and nonlinear regression model and two real data sets. An experiment is carried out in a power company in Jiangxi Province, China, to evaluate the performance of the robust smooth non‐convex support vector regression model. The results show that the proposed method is superior to support vector regression and generalized quadratic non‐convex support vector regression in robustness and generalization ability.
Therapeutic potential of mangiferin in cancer: Unveiling regulatory pathways, mechanisms of action, and bioavailability enhancements – An updated review
Authors: Iqbal Humaira , Inam‐Ur‐Raheem Muhammad , Munir Seemal , Rabail Roshina , Kafeel Sadia , Shahid Arashi , Mousavi Khaneghah Amin , Aadil Rana Muhammad 
Published: March 2024

AbstractMangiferin (MGF) is a phenolic compound, which is a major source of MGF is the mango tree. MGF possesses some antioxidant, anti‐inflammatory, and cytoprotective properties, enabling it to play its role against various diseases such as diabetes, obesity, lung injuries, and cancer. The word “Cancer” depicts an uncontrolled and abnormal growth of cells. This review paper reveals MGF's therapeutic, curative and protective potential impact against lung, liver, ovarian, prostate, breast, stomach, and oral cancers. MGF is used in various types of research in the form of powder, liquid extract, intramuscular, intravenous, nanoparticles coated with gold, in the form of a solution, or in combination with other drugs to evaluate synergistic effects. Many studies showed that MGF is safe to use but has less bioavailability in the body and 0.111 mg/mL solubility in water. However, certain studies indicated that its bioavailability and retention time increased when taken in the form of nanoparticles and in combination with other drugs. MGF also increases the sensitivity of other drugs (i.e., cisplatin) resistant to tumors. MGF has different mechanisms of action for different cancers. It mainly targets enzymes, interleukins, tumor growth factors, signaling pathways, apoptotic proteins, and genes to inhibit the growth of tumors, volume, angiogenesis, cellular functionality, further progression, and movement to other areas of the body. Moreover, MGF increases apoptosis and body weight with no or fewer side effects on normal cells. MGF unveiled a novel gate toward the treatment of cancer. Further research and human trials are needed in this regard.
The role of baseline 2‐[18F]‐FDG‐PET/CT metrics and radiomics features in predicting primary gastric lymphoma diagnosis
Authors: Albano Domenico , Calabrò Anna , Dondi Francesco , Bagnasco Samuele , Tucci Alessandra , Bertagna Francesco 
Published: March 2024

AbstractDiffuse Large B‐Cell Lymphomas (DLCBL) and mucosa‐associated lymphoid tissue (MALT) are the two most common primary gastric lymphomas (PGLs), but have strongly different features. DLBCL is more aggressive, is frequently diagnosed at an advanced stage and has a poorer prognosis. The aim of this retrospective study was to explore the role of fluorine‐18‐fluorodeoxyglucose positron emission tomography/computed tomography (2‐[18F]‐FDG‐PET/CT) and radiomics features (RFs) in predicting the final diagnosis of patients with PGLs. Ninety‐one patients with newly diagnosed PGLs who underwent pre‐treatment 2‐[18F]‐FDG‐PET/CT were included. PET images were qualitatively and semi‐quantitatively analyzed by deriving maximum standardized uptake value body weight (SUVbw), maximum standardized uptake value lean body mass (SUVlbm), maximum standardized uptake value body surface area (SUVbsa), lesion to liver SUVmax ratio (L‐L SUV R), lesion to blood‐pool SUVmax ratio (L‐BP SUV R), metabolic tumor volume (gMTV) and total lesion glycolysis of gastric lesion (gTLG), total MTV (tMTV), TLG, and first‐order RFs (histogram‐related and shape related). Receiver‐operating characteristic (ROC) curve analyses were performed to determine the differential diagnostic values of PET parameters. The final diagnosis was DLBCL in 54 (59%) cases and MALT in 37 cases (41%). PGLs showed FDG avidity in 83 cases (90%), 54/54 of DLBCL and 29/37 of MALT. All PET/CT metabolic features, such as stage of disease and tumor size, were significantly higher in DLBCL than MALT; while the presence of H. Pylori infection was more common in MALT. At univariate analysis, all PET/CT metrics were significantly higher in DLBCL than MALT lymphomas, while among RFs only Shape volume_vx and Shape sphericity showed a significant difference between the two groups. In conclusion we demonstrated that 2‐[18F]‐FDG‐PET/CT parameters can potentially discriminate between DLBCL and MALT lymphomas with high accuracy. Among first‐order RFs, only Shape volume_vx and Shape sphericity helped in the differential diagnosis.
Human resource executives' relative pay and firm performance
Authors: Chadwick Clint , Guthrie James P. , Xing Xuejing , Yan Shan 
Published: March 2024

AbstractTo operationalize the extent to which firms place a strategic emphasis on human capital and human resource management (HRM), we draw on the strategy field's dominant logic theory and on the emerging literature on executive compensation for the heads of major firm functions, such as HRM. Specifically, we investigate whether the pay of human resource executives (HREs) relative to other members of top management teams (TMTs) is related to firm performance. After controlling for the endogeneity of HRE status as one of the highest paid executives on the TMT, we find in a comprehensive sample of the largest US firms that HRE relative pay is positively related to firm financial performance, specifically Tobin's Q. We also find that the relationship of HRE relative pay with Tobin's Q is stronger in relatively smaller and younger firms in our sample. The findings suggest that a strategic emphasis on human capital and HRM leads to higher firm value.
Targeted DNA sequencing of high‐grade serous ovarian carcinoma reveals association of TP53 mutations with platinum resistance when combined with gene expression
Authors: Holý Petr , Hlaváč Viktor , Šeborová Karolína , Šůsová Simona , Tesařová Tereza , Rob Lukáš , Hruda Martin , Bouda Jiří , Bartáková Alena , Mrhalová Marcela , Kopečková Kateřina , Al Obeed Allah Mohammad , Špaček Jiří , Sedláková Iva , Souček Pavel , Václavíková Radka 
Published: March 2024

AbstractHigh‐grade serous ovarian carcinoma (HGSC) is the most common subtype of ovarian cancer and is among the most fatal gynecological malignancies worldwide, due to late diagnosis at advanced stages and frequent therapy resistance. In 47 HGSC patients, we assessed somatic and germline genetic variability of a custom panel of 144 known or suspected HGSC‐related genes by high‐coverage targeted DNA sequencing to identify the genetic determinants associated with resistance to platinum‐based therapy. In the germline, the most mutated genes were DNAH14 (17%), RAD51B (17%), CFTR (13%), BRCA1 (11%), and RAD51 (11%). Somatically, the most mutated gene was TP53 (98%), followed by CSMD1/2/3 (19/19/36%), and CFTR (23%). Results were compared with those from whole exome sequencing of a similar set of 35 HGSC patients. Somatic variants in TP53 were also validated using GENIE data of 1287 HGSC samples. Our approach showed increased prevalence of high impact somatic and germline mutations, especially those affecting splice sites of TP53, compared to validation datasets. Furthermore, nonsense TP53 somatic mutations were negatively associated with patient survival. Elevated TP53 transcript levels were associated with platinum resistance and presence of TP53 missense mutations, while decreased TP53 levels were found in tumors carrying mutations with predicted high impact, which was confirmed in The Cancer Genome Atlas data (n = 260). Targeted DNA sequencing of TP53 combined with transcript quantification may contribute to the concept of precision oncology of HGSC. Future studies should explore targeting the p53 pathway based on specific mutation types and co‐analyze the expression and mutational profiles of other key cancer genes.