bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mass spectrometry molecular fingerprinting of mineral and synthetic lubricant oils
Authors: de Carvalho Caroline P. , da Silva Adriano J. R. , Lima Rosineide C. , Eberlin Marcos N. 
Published: February 2023

AbstractThe molecular composition of lubricating oils has a strong impact on how automotive engines function, but the techniques used to monitor the quality parameters of these oils only inspect their gross physical–chemical properties such as viscosity, color, and bulk spectroscopy profiles; hence, bad‐quality, adulterated, or counterfeit oils are hard to detect. Herein, we investigated the ability of direct infusion electrospray ionization mass spectrometry (ESI‐MS) to provide simple, rapid but characteristic fingerprint profiles for such oils of the mineral and synthetic types. After a simple aqueous extraction, ESI‐MS analyses, particularly in the positive ion mode, did indeed show characteristic molecular markers with unique profiles, which were confirmed and more clearly visualized by partial least squares‐discriminant analysis (PLS‐DA). Nuclear magnetic resonance and Fourier transform infrared‐attenuated total reflection spectroscopy were also tested for the bulk samples but showed nearly identical spectra, thus failing to reveal their distinct molecular composition and to differentiate the oil samples. To simulate adulteration, mixtures of mineral and synthetic oils were also analyzed by ESI(+)‐MS, and additions as low as 1% of mineral oil to synthetic oil could be detected. The technique therefore offers a simple and fast but powerful tool to monitor the molecular composition of lubricant oils, particularly vias their more polar constituents.
Compressive stress induces spinal vertebral growth plate chondrocytes apoptosis via Piezo1
Authors: Chen Fei , Sun Mingtong , Peng Fushuai , Lai Yudong , Jiang Zhensong , Zhang Wen , Li Tao , Jing Xingzhi 
Published: February 2023

AbstractMany clinical studies have indicated an association between biomechanical factors and the incidence and pathological progression of adolescent idiopathic scoliosis (AIS). However, at present, the research on AIS is mainly focused on the etiology, and there are few studies reporting the causes of progressive aggravation of AIS. In the present study, we aim to investigate the role of Piezo1 in compressive stress‐induced mouse spinal vertebral growth plate chondrocytes apoptosis. First, a scoliosis mouse model was established, and the expression of Piezo1 as well as the degree of apoptosis were investigated. We found that the expression of Piezo1 and the degree of apoptosis were significantly higher on the concave sides than that on the convex sides of the vertebral growth plate in mice with scoliosis. Spinal vertebral growth plate chondrocytes were further isolated and treated with Yoda1 to mimic Piezo1 overload. Excess Piezo1 significantly promoted apoptosis of spinal vertebral growth plate chondrocytes. Moreover, static gas compressive stress was used to simulate the increased concave compressive stress in the process of scoliosis with or without GsMTx4, a Piezo inhibitor. It was observed that with the increase of static compressive stress, the expression of Piezo1 increased, and the chondrocytes of vertebral growth plate treated with Piezo1 inhibitor GsMTx4 weakened the above phenomena. In conclusion, our results indicated that compressive stress is strongly associated with the different degrees of apoptosis on both sides on the convex and concave sides of the vertebral growth plate in scoliosis via inducing different expressions of Piezo1. Reducing the expression of Piezo1 in the concave side of the vertebral growth plate and inhibiting the apoptosis of chondrocytes in the bilateral vertebral growth plate caused by asymmetric stress on both sides of the concave vertebral body may be a promising treatment strategy for AIS.
Effects of sheep whey protein combined with Fu brick tea polysaccharides and stachyose on immune function and intestinal metabolites of cyclophosphamide‐treated mice
Authors: Wang Nan , Ren Daoyuan , Zhang Li , Han Ning , Zhao Yan , Yang Xingbin 
Published: February 2023

AbstractBACKGROUNDSheep whey protein (SWP), Fu brick tea polysaccharides (FBTP) and stachyose (STA) have been shown to improve immunity, but little is known about the regulatory effect of SWP, FBTP, STA and their combined formula (CF) on immune function and intestinal metabolism of immunosuppressed mice induced by cyclophosphamide (CTX).RESULTSAdministration of SWP, FBTP, STA or CF restored the levels of body weight, immune organ index, immune organ morphology, cytokines and immunoglobulins in CTX immunosuppressed mice. Interestingly, CF improved all the mentioned parameters more effective than administration of SWP, FBTP or STA alone. In addition, CF was more effective to increase the levels of intestinal immune‐related gene expression than FBTP, SWP or STA alone in immunosuppressed mice, suggesting that CF exhibited excellent intestinal immune regulation function. CF also significantly improved cecal concentrations of short‐chain fatty acids of CTX‐treated mice. Furthermore, metabolomics analysis demonstrated that CF recovered the levels of 28 metabolites associated with the CTX treatment to the levels of normal mice.CONCLUSIONConclusively, these findings suggested that CF as a functional food combination of SWP, FBTP and STA could promote the immune function against human diseases, which providing theoretical support for the co‐ingestion of SWP and functional sugars as a feasible strategy for improving the body immunity in the future. © 2023 Society of Chemical Industry.
A geoheritage valuation to prevent environmental degradation of a new volcanic landscape in the Canary Islands
Authors: Ferrer Nicolás , Vegas Juana , Galindo Inés , Lozano Gonzalo 
Published: February 2023

AbstractOn 19 September 2021, a new monogenetic volcano (Tajogaite) erupted on the Island of La Palma (Canary Islands, Spain). After 85 days of Strombolian style eruption, with emissions of volcanic material, a pyroclastic cone 200 m high and 800 m in its basal diameter was formed. Successive lava flows descended the western slopes and reached the Atlantic Ocean on 29 September. On descending the coastal cliffs and entering the sea, the lava flows formed two lava deltas on the submarine island shelf, backed by fossilized coastal cliffs. This geological event has raised a new challenge: the environmental conservation of new volcanic landscapes in island territories with high anthropogenic pressure on land uses. This work uses comparative and numerical methods in geoheritage to support their conservation from a scientific basis. In a first phase, a cartographic inventory was made of all the volcanic formations similar to the new volcano in the geological framework of the Canary Islands. In a second phase, their representativeness (A), rarity (R), diversity (D), integrity (I), and observability (O) were quantitatively measured by means of dimensional estimators. The results obtained show that the new volcano presents a geological value of the first order in the context of the Canary Islands, which is one of the most prominent oceanic archipelago worldwide. Its value is based above all on its high conservation state with respect to the similar volcanoes in the Canary Islands. The high mismatch found between the intrinsic geological value and the environmental protection of this area, justifies the development and application of urgent basic guidelines for its protection, as well as the promotion of geotourism as opposed to alternative land uses.
Research Progress of Resonance Optical Fiber Sensors Modified by Low‐Dimensional Materials
Authors: Wang Qi , Yin Xiangyu , Yin Peng , Ge Yanqi , Wang Lei , Zhao Yong , Zhang Han , Zhu Aisong , Yan Xin , Qiu Fengmei , Zhang Keke , Jiang YiCheng 
Published: February 2023

AbstractResonance optical fiber sensors are widely studied for their high sensitivity, small size, and anti‐electromagnetic interference. However, traditional resonance optical fiber sensors have encountered bottlenecks in the trace detection due to limited localized field intensity and low molecules affinity. With the development of materials technology, low‐dimensional materials such as quantum dots, graphene, and transition metal sulfides have excellent properties such as high carrier mobility, large specific surface area, and flexible structure controllable artificial technologies that can also be used to synthesize new materials with desired characteristics, which can enhance the performance of sensors fundamentally. The introduction of low‐dimensional materials can not only achieve the performance optimization of sensors, but also make sensors functional to realize the diversification of detection objects. This paper reviews the research progress of resonance optical fiber sensors based on low‐dimensional materials. The detection principle and performance indexes related to resonance optical fiber sensing are elaborated, and resonance optical fiber sensors modified by low‐dimensional materials are introduced. Furthermore, the role of low‐dimensional materials in resonance fiber sensing is summarized, the direction of performance optimization in the production process of resonance fiber sensors is analyzed, and the future prospect of new resonance optical fiber sensors is given.
GB‐score: Minimally designed machine learning scoring function based on distance‐weighted interatomic contact features
Authors: Rayka Milad , Firouzi Rohoullah 
Published: February 2023

AbstractIn recent years, thanks to advances in computer hardware and dataset availability, data‐driven approaches (like machine learning) have become one of the essential parts of the drug design framework to accelerate drug discovery procedures. Constructing a new scoring function, a function that can predict the binding score for a generated protein‐ligand pose during docking procedure or a crystal complex, based on machine and deep learning has become an active research area in computer‐aided drug design. GB‐Score is a state‐of‐the‐art machine learning‐based scoring function that utilizes distance‐weighted interatomic contact features, PDBbind‐v2019 general set, and Gradient Boosting Trees algorithm to the binding affinity prediction. The distance‐weighted interatomic contact featurization method used the distance between different ligand and protein atom types for numerical representation of the protein‐ligand complex. GB‐Score attains Pearson's correlation 0.862 andRMSE1.190 on the CASF‐2016 benchmark test in the scoring power metric. GB‐Score's codes are freely available on the web athttps://github.com/miladrayka/GB_Score.
A comparative study of two automated solutions for cross‐sectional skeletal muscle measurement from abdominal computed tomography images
Authors: Charrière Katia , Boulouard Quentin , Artemova Svetlana , Vilotitch Antoine , Ferretti Gilbert R. , Bosson Jean‐Luc , Moreau‐Gaudry Alexandre , Giai Joris , Fontaine Eric , Bétry Cécile 
Published: February 2023

AbstractBackgroundMeasurement of cross‐sectional muscle area (CSMA) at the mid third lumbar vertebra (L3) level from computed tomography (CT) images is becoming one of the reference methods for sarcopenia diagnosis. However, manual skeletal muscle segmentation is tedious and is thus restricted to research. Automated solutions are required for use in clinical practice.PurposeThe aim of this study was to compare the reliability of two automated solutions for the measurement of CSMA.MethodsWe conducted a retrospective analysis of CT images in our hospital database. We included consecutive individuals hospitalized at the Grenoble University Hospital in France between January and May 2018 with abdominal CT images and sagittal reconstruction. We used two types of software to automatically segment skeletal muscle: ABACS, a module of the SliceOmatic software solution “ABACS‐SliceOmatic,” and a deep learning‐based solution called “AutoMATiCA.” Manual segmentation was performed by a medical expert to generate reference data using “SliceOmatic.” The Dice similarity coefficient (DSC) was used to measure overlap between the results of the manual and the automated segmentations. The DSC value for each method was compared with the Mann–Whitney U test.ResultsA total of 676 hospitalized individuals was retrospectively included (365 males [53.8%] and 312 females [46.2%]). The median DSC for SliceOmatic vs AutoMATiCA (0.969 [5th percentile: 0.909]) was greater than the median DSC for SliceOmatic vs. ABACS‐SliceOmatic (0.949 [5th percentile: 0.836]) (p < 0.001).ConclusionsAutoMATiCA, which used artificial intelligence, was more reliable than ABACS‐SliceOmatic for skeletal muscle segmentation at the L3 level in a cohort of hospitalized individuals. The next step is to develop and validate a neural network that can identify L3 slices, which is currently a fastidious process.
Complete Low‐Temperature Transformation and Dissolution of the Three Main Components in Corn Straw
Authors: Qin Diyan , Liu Yancheng , Yang Ruofeng , Li Jianmei , Hu Changwei 
Published: February 2023

AbstractThe conversion of biomass faces the challenge of mass and heat transfer, as well as the exertion of heterogeneous catalyst, because raw biomass exists usually in solid state. In this work, the simultaneous transformation and dissolution of the three main components (hemicellulose, cellulose, lignin) in corn straw were achieved in ethanol/ valerolactone (GVL)/H2O (10 : 10 : 40, v/v/v) co‐solvent system. With the assistance of AlCl3 ⋅ 6H2O, the conversion of hemicellulose, lignin and cellulose was >96 % at 170 °C. The conversion of solid biomass into fluid, overcoming the mass transfer restrictions between solid biomass and solid catalysts, provides new raw materials to further upgrading. H2O could penetrate inside the crystalline cellulose to swell even dissolve it, while ethanol and GVL acted as media to dissolve especially the G unit in lignin. The H+ derived from AlCl3 ⋅ 6H2O hydrolysis could break the linkages of lignin‐hemicellulose and glycosidic bond in saccharides, and aluminum chloride promoted the next degradation of polysaccharides to small molecules. Consequently, as high as 33.2 % yield of levulinic acid and 42.2 % yield of furfural were obtained. The cleavage of β‐O‐4 and Cβ−Cγ bonds in lignin produced large amounts of lignin‐derived dimers and trimers. The total yield of monomeric phenols is up to 8 %.
Curcumin‐piperine co‐supplementation and human health: A comprehensive review of preclinical and clinical studies
Authors: Heidari Hajar , Bagherniya Mohammad , Majeed Muhammed , Sathyapalan Thozhukat , Jamialahmadi Tannaz , Sahebkar Amirhossein 
Published: February 2023

AbstractCurcumin is extracted from the rhizomes Curcuma longa L. It is known for its anti‐inflammatory and anti‐oxidant activities. Despite its safety and potential for use against various diseases, curcumin's utility is restricted due to its low oral bioavailability. Co‐administration of curcumin along with piperine could potentially improve the bioavailability of curcumin. The present review aimed to provide an overview of the efficacy and safety of curcumin‐piperine co‐supplementation in human health. The findings of this comprehensive review show the beneficial effects of curcumin‐piperine in improving glycemic indices, lipid profile and antioxidant status in diabetes, improving the inflammatory status caused by obesity and metabolic syndrome, reducing oxidative stress and depression in chronic stress and neurological disorders, also improving chronic respiratory diseases, asthma and COVID‐19. Further high‐quality clinical trial studies are needed to firmly establish the clinical efficacy of the curcumin‐piperine supplement.
The accuracy of statistical shape models in predicting bone shape: A systematic review
Authors: Patil Amogh , Kulkarni Krishan , Xie Shuqiao , Bull Anthony M. J. , Jones Gareth G. 
Published: February 2023

AbstractBackgroundThis systematic review aims to ascertain how accurately 3D models can be predicted from two‐dimensional (2D) imaging utilising statistical shape modelling.MethodsA systematic search of published literature was conducted in September 2022. All papers which assessed the accuracy of 3D models predicted from 2D imaging utilising statistical shape models and which validated the models against the ground truth were eligible.Results2127 papers were screened and a total of 34 studies were included for final data extraction. The best overall achievable accuracy was 0.45 mm (root mean square error) and 0.16 mm (average error).ConclusionStatistical shape modelling can predict detailed 3D anatomical models from minimal 2D imaging. Future studies should report the intended application domain of the model, the level of accuracy required, the underlying demographics of subjects, and the method in which accuracy was calculated, with root mean square error recommended if appropriate.
Mainstreaming the framework of ecosystem services to enhance China's policy implementation for sponge city development
Authors: Ma Yongchi , Jiang Yong 
Published: February 2023

AbstractChina introduced sponge city development (SCD) as a policy initiative to address the complex, interlinked water challenges, such as urban pluvial flooding and water pollution, faced by urban development under climatic change and rapid urbanization. The initiative relies on low‐impact development (LID) techniques to integrate ecosystem conservation and urban development, with the aim to maintain or restore natural landscapes and their water regulating capacity as a way to mitigate urban flooding and associated pollution while augmenting water supply. While the country prepares for SCD demonstration and upscaling after pilot implementation since 2014, the initiative is subject to a design deficit in policy implementation that has received little consideration in both the literature and the policy arena but that negatively affects the effectiveness of SCD and its long run impact as intended by the policy. In this paper, we examine the design deficit by mapping and analyzing the policy implementation for SCD in the framework of theory of change (TOC). We present key conditions for individual components in SCD implementation to deliver causal pathways from program inputs to long‐term impacts, with identified issues characterizing the design deficit. We provide an overview of the literature on SCD to shed some light on current research while identifying knowledge gaps. The paper proposes and justifies the framework of ecosystem services as an innovative design tool to deliver a systematic approach needed to address the design deficit, paving the pathways for SCD from inputs to impacts fully developing the policy potential for green urban transition with resilience and sustainability.
Microfluidic‐Assisted CTC Isolation and In Situ Monitoring Using Smart Magnetic Microgels
Authors: Seyfoori Amir , Seyyed Ebrahimi Seyyed Ali , Samandari Mohamadmahdi , Samiei Ehsan , Stefanek Evan , Garnis Cathie , Akbari Mohsen 
Published: February 2023

AbstractCapturing rare disease‐associated biomarkers from body fluids can offer an early‐stage diagnosis of different cancers. Circulating tumor cells (CTCs) are one of the major cancer biomarkers that provide insightful information about the cancer metastasis prognosis and disease progression. The most common clinical solutions for quantifying CTCs rely on the immunomagnetic separation of cells in whole blood. Microfluidic systems that perform magnetic particle separation have reported promising outcomes in this context, however, most of them suffer from limited efficiency due to the low magnetic force generated which is insufficient to trap cells in a defined position within microchannels. In this work, a novel method for making soft micromagnet patterns with optimized geometry and magnetic material is introduced. This technology is integrated into a bilayer microfluidic chip to localize an external magnetic field, consequently enhancing the capture efficiency (CE) of cancer cells labeled with the magnetic nano/hybrid microgels that are developed in the previous work. A combined numerical‐experimental strategy is implemented to design the microfluidic device and optimize the capturing efficiency and to maximize the throughput. The proposed design enables high CE and purity of target cells and real‐time time on‐chip monitoring of their behavior. The strategy introduced in this paper offers a simple and low‐cost yet robust opportunity for early‐stage diagnosis and monitoring of cancer‐associated biomarkers.
Critical whiteness studies and racial justice activism with white student affairs professionals
Authors: Ashlee Kyle C. , Young Natasha , Wilkinson Peter 
Published: February 2023

AbstractUsing Critical Whiteness Studies (CWS), two student affairs professionals share their personal narratives about their professional practice. Each reflect on how they challenge white supremacy both personally and professionally. We provide recommendations for using CWS as a framework to inform racial justice activism and support with white student affairs professionals.
Black womyn have always been leaders: Understanding the experiences of black womyn leaders and activism on college campuses
Authors: Lee‐Johnson Jamila L. , Ray Khadejah , Hardaway Ayana T. , Cooper Ashton R. 
Published: February 2023

AbstractBlack womyn have always been at the forefront of social justice activism and are overlooked due to patriarchal understandings of leadership. Using a case‐study approach and Black Feminist Theory, we contextualize the leadership practices of Black womyn student leaders. Furthermore, we provide recommendations for supporting and affirming Black womyn leaders.
The role of advocacy organizations in student activism: Black lives matter and stop anti‐Asian hate
Authors: Byon Anna Hyunah , Preston DeShawn C. , Assalone Amanda E. , Elliott Kayla C. 
Published: February 2023

AbstractAdvocacy organizations work in partnership with students, scholars, institutions, organizers, and policymakers to help advance racial justice in higher education. They amplify student activism through strategies such as coalition building, lobbying, and research. We provide recommendations for institutional leaders to work with advocacy organizations to support students as change agents.