bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decoding bee cleptoparasitism through comparative transcriptomics of Coelioxoides waltheriae and its host Tetrapedia diversipes
Authors: Ricardo Paulo Cseri , Arias Maria Cristina , de Souza Araujo Natalia 
Published: May 2024

AbstractCleptoparasitism, also known as brood parasitism, is a widespread strategy among bee species in which the parasite lays eggs into the nests of the host species. Even though this behavior has significant ecological implications for the dynamics of several species, little is known about the molecular pathways associated with cleptoparasitism. To shed some light on this issue, we used gene expression data to perform a comparative analysis between two solitary neotropical bees: Coelioxoides waltheriae, an obligate parasite, and their specific host Tetrapedia diversipes. We found that ortholog genes involved in signal transduction, sensory perception, learning, and memory formation were differentially expressed between the cleptoparasite and the host. We hypothesize that these genes and their associated molecular pathways are engaged in cleptoparasitism-related processes and, hence, are appealing subjects for further investigation into functional and evolutionary aspects of cleptoparasitism in bees.
Resident marine sportfishing effort in the United States varied non-monotonically with COVID policy stringency
Authors: Gordan Alexander , Carter David , Liese Christopher 
Published: May 2024

AbstractGovernments responded to the Covid-19 pandemic with different policies to curtail the spread of the virus. We show how sportfishing levels are related to the stringency of Covid-19 policies. Specifically, we relate the total number of resident sportfishing trips taken each month in each of 16 U.S. states to a state-level index of COVID policy stringency. We model the number of recreational fishing trips taken in each state-month using a fixed effect Poisson regression model with state-specific seasonality and time trends. We estimate separate models for different fishing modes, and find that for fishing trips taken on private boats the number of trips may have increased by approximately 20% at moderate levels of stringency, while at high levels of stringency like those experienced in many states in March and April of 2020, trips may have stayed constant or declined by 10–20%. Similar inverse-U shaped relationships between trips and stringency are found for fishing trips from the shore and from charter boats.
Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI)
Authors: Kasim Sazzli , Amir Rudin Putri Nur Fatin , Malek Sorayya , Ibrahim Khairul Shafiq , Wan Ahmad Wan Azman , Fong Alan Yean Yip , Lin Wan Yin , Aziz Firdaus , Ibrahim Nurulain 
Published: May 2024

AbstractThe accurate prediction of in-hospital mortality in Asian women after ST-Elevation Myocardial Infarction (STEMI) remains a crucial issue in medical research. Existing models frequently neglect this demographic's particular attributes, resulting in poor treatment outcomes. This study aims to improve the prediction of in-hospital mortality in multi-ethnic Asian women with STEMI by employing both base and ensemble machine learning (ML) models. We centred on the development of demographic-specific models using data from the Malaysian National Cardiovascular Disease Database spanning 2006 to 2016. Through a careful iterative feature selection approach that included feature importance and sequential backward elimination, significant variables such as systolic blood pressure, Killip class, fasting blood glucose, beta-blockers, angiotensin-converting enzyme inhibitors (ACE), and oral hypoglycemic medications were identified. The findings of our study revealed that ML models with selected features outperformed the conventional Thrombolysis in Myocardial Infarction (TIMI) Risk score, with area under the curve (AUC) ranging from 0.60 to 0.93 versus TIMI's AUC of 0.81. Remarkably, our best-performing ensemble ML model was surpassed by the base ML model, support vector machine (SVM) Linear with SVM selected features (AUC: 0.93, CI: 0.89–0.98 versus AUC: 0.91, CI: 0.87–0.96). Furthermore, the women-specific model outperformed a non-gender-specific STEMI model (AUC: 0.92, CI: 0.87–0.97). Our findings demonstrate the value of women-specific ML models over standard approaches, emphasizing the importance of continued testing and validation to improve clinical care for women with STEMI.
Nascent chains derived from a foldable protein sequence interact with specific ribosomal surface sites near the exit tunnel
Authors: Masse Meranda M. , Guzman-Luna Valeria , Varela Angela E. , Mahfuza Shapla Ummay , Hutchinson Rachel B. , Srivastava Aniruddha , Wei Wanting , Fuchs Andrew M. , Cavagnero Silvia 
Published: May 2024

AbstractIn order to become bioactive, proteins must be translated and protected from aggregation during biosynthesis. The ribosome and molecular chaperones play a key role in this process. Ribosome-bound nascent chains (RNCs) of intrinsically disordered proteins and RNCs bearing a signal/arrest sequence are known to interact with ribosomal proteins. However, in the case of RNCs bearing foldable protein sequences, not much information is available on these interactions. Here, via a combination of chemical crosslinking and time-resolved fluorescence-anisotropy, we find that nascent chains of the foldable globin apoHmp1–140 interact with ribosomal protein L23 and have a freely-tumbling non-interacting N-terminal compact region comprising 63–94 residues. Longer RNCs (apoHmp1–189) also interact with an additional yet unidentified ribosomal protein, as well as with chaperones. Surprisingly, the apparent strength of RNC/r-protein interactions does not depend on nascent-chain sequence. Overall, foldable nascent chains establish and expand interactions with selected ribosomal proteins and chaperones, as they get longer. These data are significant because they reveal the interplay between independent conformational sampling and nascent-protein interactions with the ribosomal surface.
Changes in sleep patterns in primary care workers during the first wave of the COVID-19 pandemic in 2022 in Shanghai: a cross-sectional study
Authors: Cao Wenshu , Li Xiaoting , Yan Yini , Zhou Jianfeng , Ye Jizhong , Lv Qiwei 
Published: May 2024

AbstractThe coronavirus disease (COVID-19) pandemic has significantly affected the sleep health of healthcare workers (HCWs); however, no studies have assessed this effect in primary HCWs. This cross-sectional, web-based study explored the prevalence and factors associated with sleep disorders among primary HCWs during the first COVID-19 outbreak in Shanghai from 12 July to 15 August 2022. Sociodemographic and work-related characteristics, various sleep dimensions, and exposure to patients with COVID-19 were assessed. They were screened for common mental disorders (depression, burnout, and stress). Overall, 313 primary HCWs were recruited. At least one sleep dimension in 84% of respondents deteriorated compared with that observed pre-pandemic; sleep quality (decline of 66%) and daytime sleepiness (increase of 56%) were the most affected domains. After excluding 145 primary HCWs with pre-pandemic ‘poor sleep’, depression (odds ratio [OR] 3.08; 95% confidence interval [CI] 1.59–5.98), weekly burnout symptoms (OR 2.57; 95% CI 1.32–5.03), and high psychological stress (OR 4.51; 95% CI 2.09–9.72) were associated with poor sleep patterns during the pandemic. After adjusting for significant differences between groups, for every 1-point increase in the Perceived Stress Scale score, an associated 12% increased risk of poor sleep (adjusted OR 1.12; 95% CI 1.05–1.21; p = 0.002) was observed. Most primary HCWs showed significant worsening of sleep quality, with increases in daytime sleepiness during the first wave of the COVID-19 pandemic in Shanghai. HCWs with high stress levels were at greater risks of sleep disorders.
Identification of modules and key genes associated with breast cancer subtypes through network analysis
Authors: Mares-Quiñones María Daniela , Galán-Vásquez Edgardo , Pérez-Rueda Ernesto , Pérez-Ishiwara D. Guillermo , Medel-Flores María Olivia , Gómez-García María del Consuelo 
Published: May 2024

AbstractBreast cancer is the most common malignancy in women around the world. Intratumor and intertumoral heterogeneity persist in mammary tumors. Therefore, the identification of biomarkers is essential for the treatment of this malignancy. This study analyzed 28,143 genes expressed in 49 breast cancer cell lines using a Weighted Gene Co-expression Network Analysis to determine specific target proteins for Basal A, Basal B, Luminal A, Luminal B, and HER2 ampl breast cancer subtypes. Sixty-five modules were identified, of which five were characterized as having a high correlation with breast cancer subtypes. Genes overexpressed in the tumor were found to participate in the following mechanisms: regulation of the apoptotic process, transcriptional regulation, angiogenesis, signaling, and cellular survival. In particular, we identified the following genes, considered as hubs: IFIT3, an inhibitor of viral and cellular processes; ETS1, a transcription factor involved in cell death and tumorigenesis; ENSG00000259723 lncRNA, expressed in cancers; AL033519.3, a hypothetical gene; and TMEM86A, important for regulating keratinocyte membrane properties, considered as a key in Basal A, Basal B, Luminal A, Luminal B, and HER2 ampl breast cancer subtypes, respectively. The modules and genes identified in this work can be used to identify possible biomarkers or therapeutic targets in different breast cancer subtypes.
Activation of peroxymonosulfate with ZIF-67-derived Co/N-doped porous carbon nanocubes for the degradation of Congo red dye
Authors: Khamis Aya , Mahmoud Aya S. , El Naga Ahmed O. Abo , Shaban Seham A. , Youssef Nadia A. 
Published: May 2024

AbstractIn this study, porous carbon nanocubes encapsulated magnetic metallic Co nanoparticles (denoted as Co@N-PCNC) was prepared via pyrolyzing ZIF-67 nanocubes precursor at 600 °C and characterized by various technologies. It was used to activate peroxymonosulfate (PMS) to degrade Congo red (CR) dye efficiently. Over 98.45% of 50 mg L−1 CR was degraded using 0.033 mM PMS activated by 75 mg L−1 Co@N-PCNC within 12 min. The free radical quenching experiments were performed to reveal the nature of the reactive oxygen species radicals generated throughout the catalytic oxidation of CR. The effects of common inorganic anions and the water matrix on CR removal were studied. Moreover, the results of the kinetic study revealed the suitability of the pseudo-first-order and Langmuir–Hinshelwood kinetic models for illustrating CR degradation using the Co@N-PCNC/PMS system. Ultimately, the Co@N-PCNC displayed good operational stability, and after five cycles, the CR removal rate can still maintain over 90% after 12 min.
Intravenous high-dose anakinra drops venous thrombosis and acute coronary syndrome in severe and critical COVID-19 patients: a propensity score matched study
Authors: Çakmak Ramazan , Yüce Servet , Ay Mustafa , Uyar Muhammed Hamdi , Kılıç Muhammed İkbal , Bektaş Murat 
Published: May 2024

AbstractIn our study, we aimed to evaluate the effect of high-dose intravenous anakinra treatment on the development of thrombotic events in severe and critical COVID-19 patients. This retrospective observational study was conducted at a tertiary referral center in Aksaray, Turkey. The study population consisted of two groups as follows; the patients receiving high-dose intravenous anakinra (anakinra group) added to background therapy and the patients treated with standard of care (SoC) as a historical control group. Age, gender, mcHIS scores, and comorbidities such as diabetes mellitus, hypertension, and coronary heart disease of the patients were determined as the variables to be matched. We included 114 patients in SoC and 139 patients in the Anakinra group in the study. Development of any thromboembolic event (5% vs 12.3%, p = 0.038; OR 4.3) and PTE (2.9% vs 9.6%, p = 0.023; OR 5.1) were lower in the Anakinra group than SoC. No patient experienced cerebrovascular accident and/or clinically evident deep venous thrombosis both in two arms. After 1:1 PS matching, 88 patients in SoC and 88 patients in the Anakinra group were matched and included in the analysis. In survival analysis, the development of any thromboembolic event, pulmonary thromboembolism, and acute coronary syndrome (ACS) were higher in SoC compared to Anakinra. Survival rate was also lower in patients with SoC arm than Anakinra in patients who had any thromboembolic event as well as ACS. In our study, the development of thrombosis was associated with hyperinflammation in patients with severe and critical COVID-19. Intravenous high-dose anakinra treatment decreases both venous and arterial events in patients with severe and critical COVID-19.
TGF-β1 induces formation of TSG-6-enriched extracellular vesicles in fibroblasts which can prevent myofibroblast transformation by modulating Erk1/2 phosphorylation
Authors: Ilg Marcus M. , Bustin Stephen A. , Ralph David J. , Cellek Selim 
Published: May 2024

AbstractExtracellular vesicles have emerged as important mediators of cell-to-cell communication in the pathophysiology of fibrotic diseases. One such disease is Peyronie’s disease (PD), a fibrotic disorder of the penis caused by uncontrolled transformation of resident fibroblasts to alpha-smooth muscle actin positive myofibroblasts. These cells produce large amounts of extracellular matrix, leading to formation of a plaque in the penile tunica albuginea (TA), causing pain, penile curvature, and erectile dysfunction. We have used primary fibroblasts derived from the TA of PD patients to explore the role of transforming growth factor beta 1 (TGF-β1), a key signalling factor in this process. TGF-β1 treatment elicited a range of responses from the myofibroblasts: (i) they secreted extracellular vesicles (EVs) that were more numerous and differed in size and shape from those secreted by fibroblasts, (ii) these EVs prevented TGF-β1-induced transformation of fibroblasts in a manner that was dependent on vesicle uptake and (iii) they prevented phosphorylation of Erk1/2, a critical component in modulating fibrogenic phenotypic responses, but did not affect TGF-β1-induced Smad-signalling. We posit that this effect could be linked to enrichment of TSG-6 in myofibroblast-derived EVs. The ability of myofibroblast-derived vesicles to prevent further myofibroblast transformation may establish them as part of an anti-fibrotic negative feedback loop, with potential to be exploited for future therapeutic approaches.
Generalized roughness of three dimensional ($$\in ,\in \vee q$$)-fuzzy ideals in terms of set-valued homomorphism
Authors: Bashir Shahida , Mazhar Rabia , Kausar Nasreen , Yaman Saziye , Ali Syed Suleman , Afzal Muneeb Ul Hassan 
Published: May 2024

AbstractThe objective of this study is to generalize the roughness of a fuzzy set-in three-dimensional structure by introducing ternary multiplication. Many results and theorems of rough fuzzy ideals have been extended from semigroup and semiring, to ternary semiring by introducing the definition of a rough fuzzy subset of ternary semiring. By using the concept of set-valued homomorphism and strong set-valued homomorphism, it is proved generalized lower and upper approximations of $$(\in , \in \vee q)$$

(
∈
,
∈
∨
q
)

-fuzzy ideals (semiprime and prime ideals) of ternary semirings are $$(\in ,\in \vee q)$$

(
∈
,
∈
∨
q
)

-fuzzy ideals (semiprime and prime ideals) respectively.
Perceived barriers and factors influencing uptake of breast cancer screening among women: a population-based cross-sectional study
Authors: Joho Angelina A. , Mdoe Mwajuma B. , Masoi Theresia J. , Yahaya James J. 
Published: May 2024

AbstractBreast cancer (BC) screening plays a major role in the prevention of BC through early detection and timely treatment. This study aims to determine the level of uptake of BC screening and associated factors. A community-based analytical cross-sectional study was conducted in Dodoma City, Tanzania from July to December 2020. The study included women aged 8 years and above without a known history of breast cancer. Multivariable logistic regression was used to determine the socio-demographic factors associated with BC screening. P value < 0.05 was considered significant. A total of 354 study participants were included in the present study. The mean age of participants was 31.0 ± 11.8 years. The majority of study participants (67.5%, n = 239) were aware of BC screening. However, only (35.3%, n = 125) reported to have ever practised BC screening. Breast self-examination was the most (16.4%, n = 58) frequently used method for BC screening among study participants. Lack of knowledge of all methods of BC screening was the barrier that was perceived by the vast majority (60.2%, n = 213) of the study participants. Having low family income was the only predictor of failure to practice BC screening. In this study, most of the women were aware of BC, however, few of them had undergone breast cancer (BC) screening at the time of the interview. The study also found that the main barrier to BC screening was the lack of knowledge about BC among the study participants. Immediate measures are necessary to increase women's awareness of BC. Such as community sensitization on the importance of screening, can help improve the uptake of BC screening and the early detection of BC.
Enhancing sustainability in self-compacting concrete by optimizing blended supplementary cementitious materials
Authors: Aziz Abdul , Mehboob Syed Saqib , Tayyab Aisha , Khan Diyar , Hayyat Khizar , Ali Afsar , Latif Qureshi Qadir Bux Imran 
Published: May 2024

AbstractWithin concrete engineering, the uptake of self-compacting concrete (SCC) represents a notable trend, delivering improved workability and placement efficiency. However, challenges persist, notably in achieving optimal performance while mitigating environmental impacts, particularly in cement consumption. However, simply reducing the cement content in the mix design can directly compromise the structural-concrete requirements. Towards these challenges, global trends emphasize the utilization of appropriate waste materials in blended concrete. This study explored a promising strategy by integrating supplementary cementitious materials (SCMs) to contribute to the United Nations' Sustainable Development Goals (SDGs) in addition to the engineering contributions. It suggests an optimal combination of Metakaolin (MK) and Limestone Powder (LP) to partially substitute cement. The research methodology employs the response surface method (RSM) to systematically explore the ideal ingredient ratios. Through a comprehensive analysis of orthogonal array of 16 mixes, encompassing both mixture and process variables, this study aims to explain the effects of MK and LP addition on the rheological and mechanical properties of SCC with varying cement replacement levels. In terms of mixture constituents, the total composition of cement, MK, and LP was fixed at 100%, while coarse aggregate (CA), fine aggregate (FA), and the water-to-binder ratio were held as process variables. In order to assess the rheological properties of the mix-design, various tests including slump flow, L-box, and sieve segregation were conducted. Additionally, to evaluate mechanical strength, samples were tested for compressive strength at both 7 and 28 days. Findings from the experiments reveal higher concentrations of MK result in reduced workability and hardened properties. Through RSM-based designed experimentation covering both rheological and mechanical aspects, it is observed that the optimal cement replacement level lies between 40 and 55%. The findings of this study contribute to the advancement of sustainable and structurally robust concrete practices, offering insights into the optimal utilization of SCMs to meet both engineering requirements and environmental sustainability goals.
The interaction between diet quality and cigarette smoking on the incidence of hypertension, stroke, cardiovascular diseases, and all-cause mortality
Authors: Norouzzadeh Mostafa , Teymoori Farshad , Farhadnejad Hossein , Moslehi Nazanin , Rahideh Seyedeh Tayebeh , Mirmiran Parvin , Azizi Fereidoun 
Published: May 2024

AbstractThis study aimed to examine the interaction between diet quality indices (DQIs) and smoking on the incidence of hypertension (HTN), stroke, cardiovascular diseases, and all-cause mortality. We prospectively followed 5720 participants and collected dietary data via a validated food frequency questionnaire to calculate DQI-international (DQI-I) and DQI-revised (DQI-R). Considering an interaction analysis, we classified participants based on diet quality (median: higher/lower) and smoking status. Over 9 years of follow-up, higher diet quality scores were associated with a lower risk of stroke and mortality. While current smokers had a higher risk of stroke and mortality but had a lower risk of developing HTN. Compared to the current smokers with lower diet quality, nonsmokers with higher diet quality according to the DQI-I [HR 0.24; 95% CI (0.08, 0.66)], and DQI-R [HR 0.20; 95% CI (0.07, 0.57)] had a lower risk of stroke. Moreover, the lower risk of mortality was more evident in nonsmokers with higher DQI-I [HR 0.40; 95% CI (0.22–0.75)] and DQI-R scores [HR 0.34; 95% CI (0.18–0.63)] compared to nonsmokers with lower diet quality. While higher DQI-I and DQI-R scores were associated with a lower risk of stroke and mortality, this beneficial effect may be negated by smoking.
Optimal seasonal schedule for the production of isoprene, a highly volatile biogenic VOC
Authors: Iwasa Yoh , Hayashi Rena , Satake Akiko 
Published: May 2024

AbstractThe leaves of many trees emit volatile organic compounds (abbreviated as BVOCs), which protect them from various damages, such as herbivory, pathogens, and heat stress. For example, isoprene is highly volatile and is known to enhance the resistance to heat stress. In this study, we analyze the optimal seasonal schedule for producing isoprene in leaves to mitigate damage. We assume that photosynthetic rate, heat stress, and the stress-suppressing effect of isoprene may vary throughout the season. We seek the seasonal schedule of isoprene production that maximizes the total net photosynthesis using Pontryagin’s maximum principle. The isoprene production rate is determined by the changing balance between the cost and benefit of enhanced leaf protection over time. If heat stress peaks in midsummer, isoprene production can reach its highest levels during the summer. However, if a large portion of leaves is lost due to heat stress in a short period, the optimal schedule involves peaking isoprene production after the peak of heat stress. Both high photosynthetic rate and high isoprene volatility in midsummer make the peak of isoprene production in spring. These results can be clearly understood by distinguishing immediate impacts and the impacts of future expectations.