bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermal history of the permafrost zone in the vicinity of the deep Tyumen SG‐6 well, West Siberian Basin
Authors: Galushkin Yu. I. 
Published: November 2022

AbstractA new software package, ICE2020 of the GALO basin modeling system, is used here to model the thermal evolution of permafrost zones in a sedimentary section of the Tyumen SG‐6 well in the Koltogor–Urengoy graben of the West Siberia Basin. Reconstruction of permafrost evolution during the last 3.5 Ma is considered as the final stage of the modeling procedure of the basin, the history of which began with continental rifting in the Late Permian. The modeling uses a real sedimentary section of the basin with the correct lithological composition of its rocks. Application of the ICE2020 package made it possible to evaluate the influence of sedimentation on the formation of permafrost zones. The calculations showed that climate variations during the Late Pliocene–Holocene led to a reduction in rock temperatures by 15–20°C in the upper 1,500 m of the sedimentary section of the SG‐6 well and by 5–10°C in the deeper layers of the section. At the same time, the results of calculations with a climate curve limited to the last 50,000 and 100,000 years differ markedly from simulations with a climate curve of the last 3.5 Ma.
Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools
Authors: Zhou Xu , Dun Jiening , Chen Xiao , Xiang Bai , Dang Yunjie , Cao Deying 
Published: November 2022

AbstractThe pharmacokinetics (PKs) and safety of medications in particular groups can be predicted using the physiologically‐based pharmacokinetic (PBPK) model. Using the PBPK model may enable safe pediatric clinical trials and speed up the process of new drug research and development, especially for children, a population in which it is relatively difficult to conduct clinical trials. This review summarizes the role of pediatric PBPK (P‐PBPK) modeling software in dose prediction over the past 6 years and briefly introduces the process of general P‐PBPK modeling. We summarized the theories and applications of this software and discussed the application trends and future perspectives in the area. The modeling software's extensive use will undoubtedly make it easier to predict dose prediction for young patients.
Renal transporter OAT1 and PPAR‐α pathway co‐contribute to icaritin‐induced nephrotoxicity
Authors: Wang Dalong , Liu Jing , Chen Xiaodong , Chen Jing , Zhao Tingting , Du Jie , Wang Changyuan , Meng Qiang , Sun Huijun , Wang Fangjun , Liu Kexin , Wu Jingjing 
Published: November 2022

AbstractThis study aimed to investigate the potential nephrotoxicity of icaritin and the underlying mechanism by in vitro–in vivo experiment technology combined with proteomics technology. First, icaritin showed a significant cytotoxic effect on HK‐2 cells, which was accompanied by increased LDH and TNF‐α in the supernatant, decreased protein expressions of Bcl‐2 and increased Bax and enhanced apoptosis of HK‐2 cells as measured by TUNEL staining. Moreover, icaritin induced obvious tubular damage and up‐regulation of BUN and CRE levels in plasma in mice. Second, intracellular uptake of icaritin was considerably higher in hOAT1‐HEK293 cells than in mock‐HEK293 cells, suggesting that icaritin might accumulate in renal cells via OAT1 uptake. Importantly, icaritin caused significant changes in the PPAR signaling pathway in HK2 cells through proteomic analysis. Then, in vitro and in vivo results verified that icaritin significantly downregulated the protein expression of PPAR‐α as well as downregulated APOB, ACSL3, ACSL4, and upregulated 5/12/15‐HETE, implying that a lipid metabolism disorder was involved in the icaritin‐induced nephrotoxicity. Finally, icaritin was found to increase the accumulation of iron and LPO levels while reducing the activity of GPX4, suggesting that ferroptosis was involved in the nephrotoxicity induced by icaritin.
Bayesian analysis of designed reliability improvement experiments with application to adaptive termination
Authors: Wang Guodong , Shao Mengying , Li Jing , Lv Shanshan , Kong Xiangfen , Zhou Yan 
Published: November 2022

AbstractIn reliability improvement experiments, engineers are very interested in which factors affect the reliability of products. Furthermore, they hope to terminate experiment early without affecting the identified results. In this article, we assume the shape and scale parameters of Weibull distributions vary with experimental factors, and construct a Bayesian framework to identify important factors. We model the relationships between the parameters of Weibull distributions and experimental factors, and determine important factors based on Bayesian credibility intervals. Because the proposed method can analyze lifetime data with heavy censoring, we adaptive terminate experiment through estimating and comparing model coefficients under different experiment times. The results show that experiment time is shortened while the important factors are not changed.
Patient‐derived pancreatic tumour organoid implantation establishes novel pre‐cachexia mouse models
Authors: Aberle Merel R. , Vaes Rianne D.W. , van de Worp Wouter R.P.H. , Dubois Ludwig J. , Lieuwes Natasja G. , Biemans Rianne , Langen Ramon C.J. , van Schooten Frederik‐Jan , van Dam Ronald M. , Damink Steven W.M. Olde , Rensen Sander S. 
Published: November 2022

AbstractBackgroundThe poor survival of pancreatic cancer patients is largely attributable to cachexia, a syndrome of severe weight and muscle loss. To investigate the aetiology of cancer cachexia, preclinical models that closely recapitulate the human disease process are essential. Patient derived tumour organoids are promising novel cancer models, but their ability to induce cachexia in mice has not been investigated. We developed two pancreatic tumour organoid‐based mouse models and demonstrate their potential for cancer cachexia research.MethodsTwo patients with pancreatic cancer, from whom tumour organoid cultures were previously established, were selected based on their cachexia phenotype. Patient 09 was characterized as cachectic according to the international consensus definition of cancer cachexia, whereas patient 12 was classified as non‐cachectic. Organoid cultures PANCO‐09b and PANCO‐12a in basement membrane extract (BME) were injected subcutaneously into the flanks of 9‐weeks old NMRI‐Foxn1nu mice (n = 8/group). A control group was injected with BME only (n = 4). Body weight was monitored every 2–3 days for 38 days. Hind limb muscle wet and dry weights were measured. Adipocyte size in inguinal white adipose tissue was measured using haematoxylin and eosin‐stained sections. Expression of genes associated with cancer cachexia in muscle and liver tissue was analysed using qPCR.ResultsEngraftment of tumour organoids was successful in 87.5% of PANCO‐09b implanted mice and in 50% of PANCO‐12a mice, with similar average tumour weights at endpoint (34.4 ± 25.1 mg vs. 32.8 ± 40.2 mg, respectively, P = 0.450). All groups initially gained weight, but PANCO‐12a implanted mice progressively lost an average body weight of 1.7 ± 0.8 g from day 28 onwards. PANCO‐12a‐implanted mice gained significantly less weight from baseline than controls (0.7 ± 0.6 g, P = 0.027). Overall body weight gain of PANCO‐09b mice was also lower but not significantly different from controls (2.0 ± 1.2 g vs. 2.9 ± 1.6 g, P = 0.961). Wet weights of hind leg muscles were negatively correlated with tumour weight but did not differ between groups. Adipocytes of PANCO‐12a implanted mice were smaller compared to SHAM as well as PANCO09b mice (P < 0.0001), indicative of white adipose tissue wasting.ConclusionsImplantation of human pancreatic tumour organoids into mice negatively affects their body weight, but does not recapitulate body weight loss of donor patients. The reduced adipocyte size and inverse correlation between tumour weights and muscle weights in these mice are consistent with early‐stage cachexia or pre‐cachexia. This study shows that implantation of tumour organoids into mice provides a valuable model to investigate the processes underlying the heterogeneous presentation of cancer cachexia.
Compositional nutrient diagnosis and associated yield predictions in maize: A case study in the northern Guinea savanna of Nigeria
Authors: Shehu Bello Muhammad , Garba Ismail Ibrahim , Jibrin Jibrin Mohammed , Kamara Alpha Yaya , Adam Adam Muhammad , Craufurd Peter , Aliyu Kamaluddin Tijjani , Rurinda Jairos , Merckx Roel 
Published: November 2022

AbstractDeveloping optimal strategies for nutrient management of soils and crops at a larger scale requires an understanding of nutrient limitations and imbalances. The availability of extensive data (n = 1,781) from 2‐yr nutrient omission trials in the most suitable agroecological zone for maize (Zea mays L.) in Nigeria (i.e., the northern Guinea savanna) provides an opportunity to assess nutrient limitations and imbalances using the concept of multi‐ratio compositional nutrient diagnosis (CND). We also compared and contrasted the use of linear regression models and bootstrap forest machine learning to predict maize yield based on nutrient concentration in ear leaves. The results showed that 35% of the experimental plots had low yields due to nutrient imbalances (hereafter referred to as low yield imbalanced [LYI]). These experimental plots were dominated by control plots (without any nutrients applied), plots without N fertilization, and plots without P fertilization. Using the control plot as the ultimate indicator of nutrient imbalance, the significantly limiting nutrients in order of decreasing frequency of deficiency were N, P, S, Ca > Cu, and B. Both linear regression and bootstrap forest machine learning models fairly predicted maize grain yield based on nutrient concentration in ear leaves only in the LYI group and when examining all data with an independent validation dataset. These results suggest that nutrient management strategies, especially through the site‐specific management approach, should consider S, Ca, Cu, and B in addition to the existing nutrients N, P, and K to improve nutrient balance and maize yield in the study area.
Synthesis, Self‐Aggregation, Interfacial Behavior and Interaction Studies of Non‐ Cytotoxic Caffeinium‐Based Surface Active Ionic Liquids with Sodium Dodecyl Sulfate
Authors: Arif Rabia , Nadeem Masood , Rizvi M. Moshahid Alam , Shaheen Arifa 
Published: November 2022

AbstractCaffeinium‐based surface‐active ionic liquids (SAILs), (1‐(2‐alkanoyl oxy) ethylcaffeinium bromide), [CnEcaf]Br with variable chain length (n=12, 14, 16) were synthesized and their molecular structures were explored by multiple spectral techniques. The critical micelle concentration (CMC) of pure SAILs and their mixtures with sodium dodecyl sulfate (SAIL‐DS) in aqueous solution was determined by employing various techniques at 298 K. The tensiometry and dynamic light scattering (DLS) techniques have been employed to gain insight about the interfacial behavior and aggregate size of cat‐anionic mixtures in aqueous solution. Interestingly, the interaction parameters (
) showed strong synergism between these two oppositely charged molecules. Further, it was found that SAIL‐DS cat‐anionic mixtures exhibit excellent adsorption efficacy and are more effective in lowering the surface tension of water as compared to pure SAILs. The DLS results showed the formation of mixed‐size aggregates in SAIL‐DS systems. The contact angle and wetting properties of pure SAILs over the parafilm surface were also determined using a static sessile drop method. Further, MTT assay was used to determine the biocompatibility of SAILs on Human embryonic kidney (HEK‐293) cell line and in‐vitro anti‐cancer activity on Lung cancer cells (A549). These SAILs displayed substantial cytotoxicity against cancerous cells, indicating that they could be useful in a variety of biological applications.
Transition Metal CatalysedC‐SCross‐Coupling Reactions at Room Temperature.
Authors: Behera Pradyota Kumar , Choudhury Prabhupada , Behera Papita , Swain Amlan , Pradhan Amit Kumar , Rout Laxmidhar 
Published: November 2022

AbstractTransition metal catalysed formation ofCsp2‐Sbond through cross‐coupling reaction stands important and powerful tools in synthetic organic chemistry. The reaction constitutes an important strategy for the synthesis of thioethers that possess diverse biological activities in medicine and agriculture. Nonetheless, maintaining reaction temperature duringCsp2‐Scross‐coupling reaction decides fate of desired product along with possibility of by‐product and disulfides. The economy of process, safety and environmental issue demands thioether synthesis at mild condition and room temperature. Only very few reactions were successful under mild condition using Pd, Cu, Ni, Ni−Ir and Ir catalyst. The current prospective summarizes the best protocols used for efficientCsp2‐Scross‐coupling reactions by transition metal catalyst under mild condition.
Super‐Large‐Scale Hierarchically Porous Films Based on Self‐Assembled Eye‐Like Air Pores for High‐Performance Daytime Radiative Cooling
Authors: Tian Qing , Tu Xitao , Yang Liu , Liu Haibo , Zhou Yubo , Xing Yuxin , Chen Zhe , Fan Shanhui , Evans Julian , He Sailing 
Published: November 2022

AbstractMetal‐free polymer daytime radiative cooling coatings with hierarchical eye‐like air pores are proposed and fabricated with a super‐large‐scale film‐stretching method. The hierarchically porous film (HPF) can be further coated with polymethyl methacrylate (PMMA) micro‐hemispheres, forming coated HPF (cHPF), which do not dramatically change the optical or thermal properties. The cHPF is slightly better with a lower solar absorptivity (2.4%) and a higher thermal emissivity over the atmospheric transparency window (90.1%). The low solar absorptivity is due to the strong scattering of the hierarchical eye‐like air pores, while the molecular vibrations and the focusing effect of the PMMA micro‐hemispheres contribute to the high emissivity. An average mid‐day temperature reduction of 7.92 °C is achieved relative to the air temperature, and the average cooling power reaches 116.0 W m−2, which are much better than the cooling performances of the commercial cooling cushion. During the day, the cHPF‐covered simulated building is up to 6.47 and 4.84 °C cooler than the ambient and the white painted counterpart, respectively. The film is durable and resistant to chemical etching, and very promising to use globally, especially in warm and tropical regions.
Iron Single Atoms‐Assisted Cobalt Nitride Nanoparticles to Strengthen the Cycle Life of Rechargeable Zn–Air Battery
Authors: Zhang Xu , Yu Peng , Xing Gengyu , Xie Ying , Zhang Xinxin , Zhang Guangying , Sun Fanfei , Wang Lei 
Published: November 2022

AbstractThe development of nonprecious metal catalysts with both oxygen reduction and evolution reactions (ORR/OER) is very important for Zn–air batteries (ZABs). Herein, a Co5.47N particles and Fe single atoms co‐doped hollow carbon nanofiber self‐supporting membrane (H‐CoFe@NCNF) is synthesized by a coaxial electrospinning strategy combined with pyrolysis. X‐ray absorption fine spectroscopy analyses confirm the state of the cobalt nitride and Fe single atoms. As a result, H‐CoFe@NCNF exhibits a superior bifunctional performance of Eonset = 0.96 V for ORR, and Ej = 10 = 1.68 V for OER. Density functional theory calculations show that H‐CoFe@NCNF has a moderate binding strength to oxygen due to the coexistence of nanoparticle and single atoms. Meanwhile, the Co site is more favorable to the OER, while the Fe site facilitates the ORR, and the proton and charge transfer between N and metal atoms further lower the reaction barriers. The liquid ZAB composed of H‐CoFe@NCNF has a charge–discharge performance of ≈1100 h and a peak power density of 205 mW cm−2. The quasi‐solid‐state ZAB assembled by the self‐supporting membrane of H‐CoFe@NCNF is proven to operate stably in any bending condition.
Fascinating Electrical Transport Behavior of Topological Insulator Bi2Te3 Nanorods: Toward Electrically Responsive Smart Materials
Authors: Hou Zhi‐Ling , Ma Xiaomei , Zhang Junying , Li Chuanjian , Wang Yilin , Cao Maosheng 
Published: November 2022

AbstractElectrical conductivity and dielectric parameters are general inherent features of materials. Controlling these characteristics through applied bias will add a new dimension to regulate the dynamic response of smart materials. Here, a fascinating electrical transport behavior is observed in topological insulator (TI) Bi2Te3 nanorods, which will play a vital role in intelligent materials or devices as a unit for information reception, processing or feedback. The Bi2Te3 nanorod aggregates exhibit a monotonic resistance response to voltage, with observed four‐fold change of electrical conductivity in a small range electric field of 1 V mm−1. The dielectric constant and dielectric loss of Bi2Te3 nanorod composites also show strong dependences on bias voltage due to the unique electrical transport characteristics. The unique voltage‐controlled electrical responses are attributed to the change of Fermi levels within the band structure of disordered TI nanorods, which are non‐parallel to the applied electric field. The excellent controllable inherent characteristics through electric field endows Bi2Te3 nanomaterials bright prospects for applications in smart devices and resistive random access memories.
Surveying dog owners' use and understanding of, and communication with veterinarians about, complementary and alternative veterinary medicine
Authors: Keller Pia , Vanwesenbeeck Ini , Decloedt Annelies 
Published: November 2022

AbstractBackgroundComplementary and alternative veterinary medicine (CAVM) seems to be gaining acceptance by pet owners. Client–veterinarian communication about CAVM is important to explore client perceptions and facilitate open exchange of ideas between owners and veterinarians.MethodsThis study includes an online, cross‐sectional survey of dog owners to evaluate CAVM use and client–veterinarian communication about CAVM. Based on the extended theory of planned behaviour, factors influencing the intention to use CAVM were evaluated.ResultsPast CAVM use was reported by 45.3% clients based on 1000 valid surveys. The attitude towards CAVM was generally positive. Perceived knowledge about CAVM positively predicted perceived behavioural control and attitude towards CAVM. Both were the strongest predictors of future CAVM use. Around 45.7% of clients had already talked to their veterinarian about CAVM. This conversation was mainly initiated by the owner (66.3%). Owners expected the veterinarian to have knowledge about CAVM (91.5%) and offer referral (71.5%).LimitationsThe limitation is difficulty in classifying and defining CAVM modalities.ConclusionsOwners' perceived behavioural control and attitude towards CAVM predict CAVM use. Failure to engage in a conversation about CAVM hampers clients to partner with veterinarians to discuss the treatment approach and maximise patient outcome. The veterinarian plays an essential role in providing objective accurate information about CAVM.
Endovascular Repair of Abdominal Aortic Aneurysms is a Valid Alternative to Open Repair also in Patients Treated Outside of Instructions for Use Criteria
Authors: Protto Sara , Hahl Tilda , Koskinen Kalle J. A. , Järvenpää Valtteri , Uurto Ilkka , Väärämäki Suvi , Suominen Velipekka 
Published: November 2022

Abstract
Purpose
It remains unclear whether endovascular aneurysm repair, in the long term, is less effective than open surgery due to need for reinterventions and close monitoring. We aimed to evaluate this matter in a real-life cohort.

Methods
We collected consecutive patients treated with EVAR or OSR between January 2005 and December 2013. Primary outcomes were 30-day, 90-day and long-term all-cause mortality. Secondary outcomes were 30-day reintervention rate and reintervention-free survival. We evaluated also a subpopulation who did not adhere to IFU.

Results
The inclusion criteria were met by 416 patients. 258 (62%) received EVAR, while 158 (38%) underwent OSR. The 30- or 90-day mortality was similar between groups (p = 0.272 and p = 0.346), as ARM (p = 0.652). The 30-day reintervention rate was higher in the OSR group (p < 0.001), but during follow-up, it was significantly higher in the EVAR group (log-rank: 0.026).
There were 114 (44.2%) non-IFU patients in the EVAR group, and we compared them with OSR group. There was no significant difference in all-cause mortality at 30 or 90 days, nor in the long term (p = 1; p = 1 and p = 0.062). ARM was not affected by the procedure technique (p = 0.136). The short-term reintervention rate was higher in the OSR group (p = 0.003), while in the long-term EVAR, patients experienced more reinterventions (log-rank = 0.0.43).

Conclusion
No significant difference in survival was found between EVAR and OSR, independent of adherence to IFU. EVAR may be considered for surgical candidates.
Clinical and paraclinical features of small fiber neuropathy in Sjögren’s syndrome
Authors: Seeliger Tabea , Dreyer Henrike Neelke , Siemer Janna Margaretha , Bönig Lena , Gingele Stefan , Dohrn Maike Franziska , Prenzler Nils , Ernst Diana , Witte Torsten , Skripuletz Thomas 
Published: November 2022

AbstractSjögren’s syndrome is a potentially treatable cause of Small Fiber Neuropathy (SFN)—a condition that severely affects patients’ quality of life. We therefore aimed to characterize patients with SFN and Sjögren’s syndrome to raise awareness of this disease and facilitate its early recognition as an essential step for appropriate treatment. In 97 SFN patients (median age 48 years, 77% female), we studied the clinical features associated with Sjögren’s syndrome compared to the idiopathic SFN subtype. According to the current ACR/EULAR classification criteria (Shiboski et al., Ann Rheum Dis 76:9–16, 2017), 24/97 individuals (25%, median age 48.5 years, 75% female) were diagnosed with Sjögren’s syndrome. We did not observe any differences in SFN-defining sensory plus symptoms. Furthermore, intraepidermal nerve fiber densities (IENFD) were significantly lower in patients with SFN and Sjögren’s syndrome (mean 2.6 ± 1.2/mm) compared to patients with idiopathic SFN (mean 3.2 ± 1.5/mm; p = 0.048). There were no significant group differences when analyzing cerebrospinal fluid (CSF) parameters. We conclude that Sjögren’s syndrome-associated SFN is difficult to distinguish from idiopathic forms based on initial clinical symptoms and CSF results. However, lower IENFD values in patients with Sjögren's syndrome-associated SFN might indicate a distinct different pathomechanism in this entity compared to idiopathic SFN.