bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating impacts of environmental stress and bioactive chemicals on the North Carolina blue crab population: An individual-based model
Authors: Rocco Alex J. , Cao Jie , Li Yan , Lee Laura M. 
Published: April 2024

Abstract

Objective
Recent estimates of the North Carolina blue crab Callinectes sapidus stock found that the stock is overfished and overfishing is occurring. Threats outlined in the 2018 stock assessment include climate change and estrogenic endocrine-disrupting chemicals (EEDCs). The objective of this study was to use an individual-based modeling approach to simulate the long-term effects of climate change and EEDCs on the North Carolina blue crab stock.

Methods
To do this, we built an individual-based model that simulated the life history of individual blue crabs, including but not limited to growth, reproduction, and mortality. We then tested our population of blue crabs against 30 different combinations of temperature and EEDC scenarios over 50 years to determine the long-term effects on the population.

Result
Our simulations suggested that the North Carolina blue crab population may be relatively resilient to climate change-related temperature shifts but that there may be significant impacts at the population level as summer temperatures become more extreme. Endocrine-disrupting chemical effects resulted in an alternative stable state of lower catch or the total extinction of the population.

Conclusion
These results suggest that management strategy changes may be necessary as temperatures become more extreme in the region. In addition, more research is necessary to fully understand the effects of EEDCs on blue crabs and other crustaceans at the individual and population level.
Enhanced inactivation of Staphylococcus aureus and Escherichia coli using conjugated polyindole polymer nanoparticles under visible light irradiation
Authors: Manikandan Velu , Elango Duraisamy , Al‐Ansari Mysoon M. , Subash Velu , Mythili R. , Kim Woong , Jayanthi Palaniyappan , Song Kwang Soup 
Published: April 2024

AbstractThe areas of environmental cleanup and bacteria inactivation are particularly interesting in polymer‐based nanomaterials because of their unique physicochemical properties. Conjugated polymer nanoparticles (CP NPs) have potential uses in the biological and environmental, but little is known about them. This study aimed to examine the efficacy of CP nanoparticles in the photocatalytic inactivation of S. aureus and E. coli under visible irradiation (λ ≤ 420 nm), with minor enhancements observed. The simple and one‐step chemical oxidation technique was used to prepare CP nanoparticles. X‐ray powder diffraction (XRD), Fourier‐transform infrared spectroscopy (FT‐IR), Scanning electron microscope (SEM), Energy‐dispersive X‐ray (EDS), and Transmission electron microscopy (TEM) analyses were utilized to characterize the physicochemical properties of CP nanoparticles for comprehensive structural analysis. The synthesized CP nanoparticles exhibited outstanding photocatalytic disinfection capabilities, achieving a degradation of 98.6%. This research not only provides insights into the physical characteristics of CP nanoparticles but also illustrates their antibacterial efficacy against two different bacterial pathogens, namely S. aureus and E. coli. Therefore, this research highlights an eco‐friendly and inexpensive preparation of conjugated polymer nanoparticles for a wide range of applications.
Cell division‐dependent dissemination following E‐cadherin loss underlies initiation of diffuse‐type gastric cancer
Authors: Monster Jooske L , Kemp Lars JS , Busslinger Georg A , Vliem Marjolein J , Derks Lucca LM , Staes Annelot AL , Bisseling Tanya M , Clevers Hans , van der Post Rachel S , Gloerich Martijn 
Published: April 2024

AbstractLoss of the cell–cell adhesion protein E‐cadherin underlies the development of diffuse‐type gastric cancer (DGC), which is characterized by the gradual accumulation of tumor cells originating from the gastric epithelium in the surrounding stroma. How E‐cadherin deficiency drives DGC formation remains elusive. Therefore, we investigated the consequences of E‐cadherin loss on gastric epithelial organization utilizing a human gastric organoid model and histological analyses of early‐stage DGC lesions. E‐cadherin depletion from gastric organoids recapitulates DGC initiation, with progressive loss of a single‐layered architecture and detachment of individual cells. We found that E‐cadherin deficiency in gastric epithelia does not lead to a general loss of epithelial cohesion but disrupts the spindle orientation machinery. This leads to a loss of planar cell division orientation and, consequently, daughter cells are positioned outside of the gastric epithelial layer. Although basally delaminated cells fail to detach and instead reintegrate into the epithelium, apically mispositioned daughter cells can trigger the gradual loss of the single‐layered epithelial architecture. This impaired architecture hampers reintegration of mispositioned daughter cells and enables basally delaminated cells to disseminate into the surrounding matrix. Taken together, our findings describe how E‐cadherin deficiency disrupts gastric epithelial architecture through displacement of dividing cells and provide new insights in the onset of DGC. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Validation of alopecia coding in US claims data among women of childbearing age
Authors: Schneeweiss Maria C. , Mostaghimi Arash , Chiuve Stephanie , Schneeweiss Sebastian , Anand Priyanka , Schoder Katharina , Oduol Theresa , Huisingh Carrie , Lin Kueiyu Joshua 
Published: April 2024

AbstractBackgroundAccurately identifying alopecia in claims data is important to study this rare medication side effect.ObjectivesTo develop and validate a claims‐based algorithm to identify alopecia in women of childbearing age.MethodsWe linked electronic health records from a large healthcare system in Massachusetts (Mass General Brigham) with Medicaid claims data from 2016 through 2018 to identify all women aged 18 to 50 years with an ICD‐10 code for alopecia, including alopecia areata, androgenic alopecia, non‐scarring alopecia, or cicatricial alopecia, from a visit to the MGB system. Using eight predefined algorithms to identify alopecia in Medicaid claims data, we randomly selected 300 women for whom we reviewed their charts to validate the alopecia diagnosis. Positive predictive values (PPVs) were computed for the primary algorithm and seven algorithm variations, stratified by race.ResultsOut of 300 patients with at least 1 ICD‐10 code for alopecia in the Medicaid claims, 286 had chart‐confirmed alopecia (PPV = 95.3%). The algorithm requiring two diagnosis codes plus one prescription claim for alopecia treatment identified 55 patients (PPV = 100%). The algorithm requiring 1 diagnosis code for alopecia plus 1 procedure claim for intralesional triamcinolone injection identified 35 patients (PPV = 100%). Across all 8 algorithms tested, the PPV varied between 95.3% and 100%. The PPV for alopecia ranged from 94% to 100% in White and 96%–100% in 48 non‐White women. The exact date of alopecia onset was difficult to determine in charts.ConclusionAt least one recorded ICD‐10 code for alopecia in claims data identified alopecia in women of childbearing age with high accuracy.
Proteomic profiling of small extracellular vesicles derived from mouse pancreatic cancer and stellate cells: Role in pancreatic cancer
Authors: Perera Chamini J. , Hosen SM Zahid , Khan Tanzila , Fang Haoyun , Mekapogu Alpha Raj , Xu Zhihong , Falasca Marco , Chari Suresh T. , Wilson Jeremy S. , Pirola Ron , Greening David W. , Apte Minoti V. 
Published: April 2024

AbstractSmall extracellular vesicles (sEVs) are cell‐derived vesicles evolving as important elements involved in all stages of cancers. sEVs bear unique protein signatures that may serve as biomarkers. Pancreatic cancer (PC) records a very poor survival rate owing to its late diagnosis and several cancer cell‐derived proteins have been reported as candidate biomarkers. However, given the pivotal role played by stellate cells (PSCs, which produce the collagenous stroma in PC), it is essential to also assess PSC‐sEV cargo in biomarker discovery. Thus, this study aimed to isolate and characterise sEVs from mouse PC cells and PSCs cultured alone or as co‐cultures and performed proteomic profiling and pathway analysis. Proteomics confirmed the enrichment of specific markers in the sEVs compared to their cells of origin as well as the proteins that are known to express in each of the culture types. Most importantly, for the first time it was revealed that PSC‐sEVs are enriched in proteins (including G6PI, PGAM1, ENO1, ENO3, and LDHA) that mediate pathways related to development of diabetes, such as glucose metabolism and gluconeogenesis revealing a potential role of PSCs in pancreatic cancer‐related diabetes (PCRD). PCRD is now considered a harbinger of PC and further research will enable to identify the role of these components in PCRD and may develop as novel candidate biomarkers of PC.
Stiffness modeling of thermoset polymer fibers
Authors: Greenfeld Israel , Shneider Mark , Kaestner Antonia , Wagner H. Daniel 
Published: April 2024

AbstractRecent progress in creating micro and nano‐scale thermoset polymer fibers through extensional flow reveals remarkable mechanical properties. For instance, epoxy microfibers display a notable increase in stiffness, strength, and toughness as their diameter decreases. This size‐dependent behavior, well‐explored and explained in thermoplastic polymers, is far from being understood in thermoset polymers, as their densely cross‐linked network structure seems to restrain preferential directionality. Our theoretical analysis proposes that, during the pre‐gel curing phase, when the thermoset polymer begins clustering but remains in a liquid state, substantial cluster elongation is induced by the extensional flow. This elongated formation persists to some extent after curing completion, resulting in enhanced mechanical properties along the fiber's primary axis. Concurrently, the high extension reduces fiber diameter, leading to a power‐law diameter dependence of fiber stiffness. The model agrees well with experimental data from tensile tests on epoxy microfibers, highlighting the potential to fine‐tune mechanical properties by controlling the curing process, and laying the groundwork for future improvements.
An integrated system theoretic process analysis with multilevel flow modeling for the identification of cyber‐physical hazards in a process industry
Authors: Zhang Feilong , Chen Liangchao , Zhang Bo , Zhang Jianwen , Wang Qianlin , Wang Pengchao , Yang Jianfeng , Dou Zhan 
Published: April 2024

AbstractThe deep integration of information technology and process industry production systems makes system failure increasingly multi‐source and multi‐scale. In contrast to conventional hazard methods, system theoretic process analysis (STPA) can analyze the hazards in system control processes from the perspective of interactions among the system components. Theoretically, this method offers advantages that are better suited for modern production systems. However, as of now, the integration between STPA and process industrial production systems is still lacking. To address this issue, this study improved the original STPA method. First, we propose the “5 flows” concept for the process industrial cyber‐physical systems. The systems are described using multilevel flow modeling (MFM). This leads to the development of the MSTPA method, which is specifically designed to analyze the cyber‐physical hazards in process industrial production systems. Subsequently, the cyber‐physical hazards of a fluidized‐bed catalytic cracking unit are analyzed in detail using the MSTPA method as an example. The results show that MSTPA can identify cyber‐physical hazards in multiple dimensions. It is proved that, compared with the original STPA and traditional hazard methods, the MSTPA method can better identify cyber‐physical hazards in process industrial production systems.
Reduced exercise capacity occurs before intrinsic skeletal muscle dysfunction in experimental rat models of pulmonary hypertension
Authors: Zhang Peng , Da Silva Goncalves Bos Denielli , Vang Alexander , Feord Julia , McCullough Danielle J. , Zimmer Alexsandra , D'Silva Natalie , Clements Richard T. , Choudhary Gaurav 
Published: April 2024

AbstractReduced exercise capacity in pulmonary hypertension (PH) significantly impacts quality of life. However, the cause of reduced exercise capacity in PH remains unclear. The objective of this study was to investigate whether intrinsic skeletal muscle changes are causative in reduced exercise capacity in PH using preclinical PH rat models with different PH severity. PH was induced in adult Sprague–Dawley (SD) or Fischer (CDF) rats with one dose of SU5416 (20 mg/kg) injection, followed by 3 weeks of hypoxia and additional 0–4 weeks of normoxia exposure. Control rats were injected with vehicle and housed in normoxia. Echocardiography was performed to assess cardiac function. Exercise capacity was assessed by VO2 max. Skeletal muscle structural changes (atrophy, fiber type switching, and capillary density), mitochondrial function, isometric force, and fatigue profile were assessed. In SD rats, right ventricular systolic dysfunction is associated with reduced exercise capacity in PH rats at 7‐week timepoint in comparison to control rats, while no changes were observed in skeletal muscle structure, mitochondrial function, isometric force, or fatigue profile. CDF rats at 4‐week timepoint developed a more severe PH and, in addition to right ventricular dysfunction, the reduced exercise capacity in these rats is associated with skeletal muscle atrophy; however, mitochondrial function, isometric force, and fatigue profile in skeletal muscle remain unchanged. Our data suggest that cardiopulmonary impairments in PH are the primary cause of reduced exercise capacity, which occurs before intrinsic skeletal muscle dysfunction.
Risk assessment of man‐machine systems under safety‐critical multitasking situations
Authors: Che Haiyang , Li Kehui , Zeng Shengkui , Yv Changbo , Guo Jianbin 
Published: April 2024

AbstractMultitasking is increasingly common in highly complex and safety‐critical systems, especially under abnormal situations. Mental overload (MOL) may occur and result in forgetting/mistaking tasks uncertainly. Such probabilistic errors could have catastrophic consequences and contribute greatly to the multitasking risk of man‐machine systems. In this paper, to better identify the risks of safety‐critical multitasking situations, MOL mechanism is investigated and a risk analysis method considering MOL is proposed. MOL occurs when the demand for resources estimated by Multiple Resources Model exceeds an operator's ability. Then, the operator's performance degrades, and s/he tends to mistake or abandon parts of tasks. Based on the MOL mechanism, a MOL‐performance dependency (MOL‐PDEP) gate is proposed to incorporate MOL into risk analysis. Its inputs are concurrent tasks, and it triggers the related hazardous human behavior events with certain probabilities if MOL occurs. Through this gate, the dependence among these events and their nondeterministic cause relationships to MOL are added to traditional fault tree (FT), which presents a challenge issue to FT analysis. An implicit method is proposed to analyze the FT with MOL‐PDEP gate and calculate the accident probability. A case study on a helicopter crash accident demonstrates the effectiveness of the proposed method.
First‐principles calculations to investigate structural, electronic, optical, and transport properties of half‐Heusler VFeZ (Z = N and P) compounds
Authors: Muchiri Perpetua Wanjiru , Agouri M. , Mohamed Sahar Abdeen , Abbassi A. , Taj S. , Manaut B. , Dutta Ashim , Khan Junaid , Mundad T. , Bakkour Youssef , Al‐Anazy Murefah mana 
Published: April 2024

AbstractThis research work investigates the structural, electronic, optical, and thermoelectric characteristics of VFeZ (Z = N and P) half‐Heusler compounds. The study employs the full‐potential linearized augmented plane wave (FP‐LAPW) method integrated into the WIEN2K algorithm, serving as the underpinning framework for density functional theory (DFT) analysis. In the study, we use the PBE generalized gradient approximation (PBE‐GGA) to identify numerous parameters associated with structural and elastic properties. Lattice parameter results are in agreement with previous outcomes. Moreover, computed elastic parameters satisfy the criterion for stability. In the cubic structure VFeZ (Z = N and P) is ductile, to enhance the computations of electronic characteristics, Tran and Blaha's modified Becke‐Johnson potential (TB‐mBJ) is used. Our simulations demonstrate that the materials exhibit semiconductor behavior, with a direct band gap for VFeZ (Z = N and P). Strong UV absorption is found via optical experiments suggest compounds are suitable for optical application. Furthermore, study of the thermoelectric properties suggests its application in the thermoelectric generators.
Stabilization of nonlinear stochastic systems with input and output delays via event‐triggered predictive control
Authors: Deng Ding‐Lin , He Ping , Shi Peng , Kovács Levente 
Published: April 2024

AbstractThe stabilization of nonlinear stochastic systems with input and output delays is investigated in this article. First, an observer that includes input delay information is designed to estimate the state information after eliminating the effect of input delay. Second, a predictive scheme with delay information is utilized to predict the system state affected by output delay, and an event‐triggered predictive controller is established to eliminate the effects of input and output delays simultaneously. Subsequently, the convergence of the prediction error is analyzed by utilizing a recursive method, and a sufficient condition to ensure the global exponential stability is given by constructing a new closed‐loop system. Finally, numerical simulations of two nonlinear stochastic systems with different delay sizes are utilized to verify the impact of the event‐triggered predictive control in addressing the stabilization of nonlinear stochastic systems with time delays.
Skin‐Inspired Textile Electronics Enable Ultrasensitive Pressure Sensing
Authors: Zheng Xianhong , Zhou Dashuang , Liu Zhi , Hong Xinghua , Li Changlong , Ge Shanhai , Cao Wentao 
Published: April 2024

AbstractWearable pressure sensors have attracted great interest due to their potential applications in healthcare monitoring and human‐machine interaction. However, it is still a critical challenge to simultaneously achieve high sensitivity, low detection limit, fast response, and outstanding breathability for wearable electronics due to the difficulty in constructing microstructure on a porous substrate. Inspired by the spinosum microstructure of human skin for highly‐sensitive tactile perception, a biomimetic flexible pressure sensor is designed and fabricated by assembling MXene‐based sensing electrode and MXene‐based interdigitated electrode. The product biomimetic sensor exhibits good flexibility and suitable air permeability (165.6 mm s−1), comparable to the typical air permeable garments. Benefiting from the two‐stage amplification effect of the bionic intermittent structure, the product bionic sensor exhibits an ultrahigh sensitivity (1368.9 kPa−1), ultrafast response (20 ms), low detection limit (1 Pa), and high‐linearity response (R2 = 0.997) across the entire sensing range. Moreover, the pressure sensor can detect a wide range of human motion in real‐time through intimate skin contact, providing essential data for biomedical monitoring and personal medical diagnosis. This principle lays a foundation for the development of human skin‐like high‐sensitivity, fast‐response tactile sensors.
Hybrid and Asymmetric Supercapacitors: Achieving Balanced Stored Charge across Electrode Materials
Authors: Qorbani Mohammad , Chen Kuei‐Hsien , Chen Li‐Chyong 
Published: April 2024

AbstractAn electrochemical capacitor configuration extends its operational potential window by leveraging diverse charge storage mechanisms on the positive and negative electrodes. Beyond harnessing capacitive, pseudocapacitive, or Faradaic energy storage mechanisms and enhancing electrochemical performance at high rates, achieving a balance of stored charge across electrodes poses a significant challenge over a wide range of charge–discharge currents or sweep rates. Consequently, fabricating hybrid and asymmetric supercapacitors demands precise electrochemical evaluations of electrode materials and the development of a reliable methodology. This work provides an overview of fundamental aspects related to charge‐storage mechanisms and electrochemical methods, aiming to discern the contribution of each process. Subsequently, the electrochemical properties, including the working potential windows, rate capability profiles, and stabilities, of various families of electrode materials are explored. It is then demonstrated, how charge balancing between electrodes falters across a broad range of charge–discharge currents or sweep rates. Finally, a methodology for achieving charge balance in hybrid and asymmetric supercapacitors is proposed, outlining multiple conditions dependent on loaded mass and charge–discharge current. Two step‐by‐step tutorials and model examples for applying this methodology are also provided. The proposed methodology is anticipated to stimulate continued dialogue among researchers, fostering advancements in achieving stable and high‐performance supercapacitor devices.
Roles of Akirin1 in early prediction and treatment of graft kidney ischemia‒reperfusion injury
Authors: Li Xinyuan , Chen Guo , Zhou Xiang , Peng Xiang , Li Mao , Chen Daihui , Yu Haitao , Shi Wei , Zhang Chunlin , Li Yang , Feng Zhenwei , Mei Yuhua , Li Li , Liang Simin , He Weiyang , Gou Xin , Li Jie 
Published: April 2024

AbstractFerroptosis is a predominant contributor to graft kidney ischemia‒reperfusion injury (IRI), resulting in delayed graft function (DGF). However, much less is known about the early predicting biomarkers and therapeutic targets of DGF, especially aiming at ferroptosis. Here, we propose a precise predicting model for DGF, relying on the Akirin1 level in extracellular vesicles (EVs) derived from recipient urine 48 h after kidney transplant. In addition, we decipher a new molecular mechanism whereby Akirin1 induces ferroptosis by strengthening TP53‐mediated suppression of SLC7A11 during the graft kidney IRI process, that is, Akirin1 activates the EGR1/TP53 axis and inhibits MDM2‐mediated TP53 ubiquitination, accordingly upregulating TP53 in two ways. Meanwhile, we present the first evidence that miR‐136‐5p enriched in EVs secreted by human umbilical cord mesenchymal stem cells (UM‐EVs) confers robust protection against ferroptosis and graft kidney IRI by targeted inhibition of Akirin1 but knockout of miR‐136‐5p in UM sharply mitigates the protection of UM‐EVs. The functional and mechanistic regulation of Akirin1 is further corroborated in an allograft kidney transplant model in wild‐type and Akirin1‐knockout mice. In summary, these findings suggest that Akirin1, which prominently induces ferroptosis, is a pivotal biomarker and target for early diagnosis and treatment of graft kidney IRI and DGF after kidney transplant.