bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrated micro‐scale protein a chromatography and Low pH viral inactivation unit operations on an automated platform
Authors: Sharma Paras , Robbel Lars , Schmitt Michael , Dikicioglu Duygu , Bracewell Daniel G. 
Published: April 2024

AbstractHigh throughput process development (HTPD) is established for time‐ and resource‐ efficient chromatographic process development. However, integration with non‐chromatographic operations within a monoclonal antibody (mAb) purification train is less developed. An area of importance is the development of low pH viral inactivation (VI) that follows protein A chromatography. However, the lack of pH measurement devices at the micro‐scale represents a barrier to implementation, which prevents integration with the surrounding unit operations, limiting overall process knowledge. This study is based upon the design and testing of a HTPD platform for integration of the protein A and low pH VI operations. This was achieved by using a design and simulation software before execution on an automated liquid handler. The operations were successfully translated to the micro‐scale, as assessed by analysis of recoveries and molecular weight content. The integrated platform was then used as a tool to assess the effect of pH on HMWC during low pH hold. The laboratory‐scale and micro‐scale elution pools showed comparable HMWC across the pH range 3.2–3.7. The investigative power of the platform is highlighted by evaluating the resources required to conduct a hypothetical experiment. This results in lower resource demands and increased labor efficiency relative to the laboratory‐scale. For example, the experiment can be conducted in 7 h, compared to 105 h, translating to labor hours, 3 h and 28 h for the micro‐scale and laboratory‐scale, respectively. This presents the opportunity for further integration beyond chromatographic operations within the purification sequence, to establish a fit‐to‐platform assessment tool for mAb process development.
Impact of hyperuricemia and chronic kidney disease on the prevalence and mortality of cardiovascular disease in cancer survivors
Authors: Chen Yanlin , Chen Yuhan , Lin Weidong , Fu Lu , Liu Huiyi , Pu Sijia , Chen Haowei , Yi Hong , Xue Yumei 
Published: April 2024

AbstractBackgroundThe risks of cardiovascular disease (CVD) and CVD mortality are prevalent among cancer survivors (CS) population. The 2022 ESC Guidelines on cardio‐oncology have recommended that modifying cardiovascular risk factors (CVRF) could potentially improve long‐term outcomes in CS.ObjectivesTo identify the independent and joint chronic kidney disease (CKD) associations of hyperuricemia with the incidence of CVD and mortality outcomes among CS.MethodsUtilizing data from the US National Health and Nutrition Examination Survey spanning 2005–2018, we assessed the risk of CVD through weighted multivariable logistic regression and restricted cubic spline (RCS) regression. Additionally, all‐cause and CVD‐related mortality were evaluated using weighted multivariable Cox regression and Kaplan–Meier analysis. Subgroup analysis was conducted to further elucidate the interplay between hyperuricemia, CKD, and mortality within the CS population.ResultsA total of 3276 CS participants were enrolled in this study. Results showed that hyperuricemia was positively related to the incidence of CVD (OR [95% CI] = 1.86 [1.24, 2.81], p = 0.004). RCS analysis further demonstrated that uric acid levels ≥345 μmol/L positively correlated with CVD incidence (p value for nonlinearity = 0.0013). However, the association between hyperuricemia and CVD mortality, as well as all‐cause mortality did not reach statistical significance in the fully adjusted model (HR = 1.48, 95% CI: 0.92–2.39, p = 0.11; HR = 1.11, 95% CI:0.92, 1.34, p = 0.28, respectively). Among CS participants with CKD, hyperuricemia could increase risks of all‐cause (HR [95% CI] = 1.39 [1.08, 1.11], p = 0.02) and CVD mortality (HR [95% CI] =2.17 [1.29, 3.66], p = 0.004) after adjusting for sex, age, and ethnicity.ConclusionsIn the CS population, hyperuricemia was positively associated with the incidence of CVD. In addition, CKD might be an intermediate variable among the CS population that mediated the effects of hyperuricemia on mortality.
Development and validation of a nomogram to predict leptomeningeal metastases in lung adenocarcinoma: Cervical lymph node metastasis is an important association factor
Authors: Hua Xiaoyu , Feng Weifeng , Ye Minting , Lai Mingyao , Yu Xiaojun , Sun Mengnan , Li Juan , Ai Ruyu , He Yanlin , Cai Linbo , Shi Changzheng , Liu Xiangning 
Published: April 2024

AbstractBackgroundThe goal of this study was to create a nomogram using routine parameters to predict leptomeningeal metastases (LMs) in advanced lung adenocarcinoma (LAC) patients to prevent needless exams or lumbar punctures and to assist in accurately diagnosing LMs.MethodsTwo hundred and seventy‐three patients with LMs and brain metastases were retrospectively reviewed and divided into derivation (n = 191) and validation (n = 82) cohorts using a 3:7 random allocation. All LAC patients with LMs had positive cerebrospinal fluid cytology results and brain metastases confirmed by magnetic resonance imaging. Binary logistic regression with backward stepwise selection was used to identify significant characteristics. A predictive nomogram based on the logistic model was assessed through receiver operating characteristic curves. The validation cohort and Hosmer–Lemeshow test were used for internal validation of the nomogram.ResultsFive clinicopathological parameters, namely, gene mutations, surgery at the primary lung cancer site, clinical symptoms of the head, N stage, and therapeutic strategy, were used as predictors of LMs. The area under the curve was 0.946 (95% CI 0.912–0.979) for the training cohort and 0.861 (95% CI 0.761–0.961) for the internal validation cohort. There was no significant difference in performance between the two cohorts (p = 0.116). In the internal validation, calibration plots revealed that the nomogram predictions were well suited to the actual outcomes.ConclusionsWe created a user‐friendly nomogram to predict LMs in advanced lung cancer patients, which could help guide treatment decisions and reduce unnecessary lumbar punctures.
Using neural data to forecast aggregate consumer behavior in neuromarketing: Theory, metrics, progress, and outlook
Authors: Yao Xiaoqiang , Wang Yiwen 
Published: April 2024

AbstractThe field of using neural data to forecast aggregate consumer choice has garnered attention in the past decade, holding substantial promise for both researchers and practitioners. However, a comprehensive understanding of this emerging field is lacking. This paper aims to bridge that gap by summarizing existing research, encompassing relevant theories, metrics, progress, and future directions. We begin by introducing the concept of neuroforecasting within the field of neuromarketing. We then delve into theories that leverage neural data for forecasting aggregate choice, including affect‐integration‐motivation framework, frontal asymmetry, and inter‐subject correlation. Subsequently, we review various metrics, including self‐reported, behavioral, and neural metrics employed to forecast market‐level behavior, presenting key findings from relevant studies. Furthermore, we examine the strengths and weaknesses of this field. Advantages of this approach include its ability to offer effective predictions of consumer behavior and provide enhanced insights into consumer preferences and choices, while its weaknesses encompass relatively high cost, sample size constraints, issues of ecological validity, and challenges related to reverse inference. In conclusion, future research should prioritize integrating diverse data types with machine learning techniques to forecast the outcomes of marketing campaigns in advance. Additionally, a deeper exploration of the psychological and cognitive processes underlying successful predictions can augment predictive accuracy and effectiveness. This review provides a systematic overview for researchers and practitioners in this field, offering valuable insights and guidance for future research endeavors and industry applications.
Antiglycating Effects of Spirulina platensis Aqueous Extract on Glucose‐Induced Glycation of Bovine Serum Albumin
Authors: Paramanya Additiya , Abiodun Abeeb Oyesiji , Ola Mohammad Shamsul , Ali Ahmad 
Published: April 2024

AbstractGlucose, the predominant carbohydrate in the human body, initiates nonenzymatic reactions in hyperglycemia, potentially leading to adverse biochemical interactions. This study investigates the interaction between glucose and Bovine Serum Albumin (BSA), along with the protective effects of Spirulina platensis PCC 7345 aqueous extract. Phycobiliproteins (phycocyanin, phycoerythrin, and allophycocyanin) in the extract were quantified using spectrophotometry. The extract‘s anti‐glycation potential was assessed by analyzing its effects on albumin glycation, fluorescent advanced glycation end products (AGEs), thiol group oxidation, and β‐amyloid structure generation. Additionally, its antidiabetic potential was evaluated by measuring α‐amylase and α‐glucosidase enzyme inhibition. Results indicate that the Spirulina extract significantly mitigated ketoamine levels, fluorescence, and protein−carbonyl production induced by glucose, demonstrating a 67.81 % suppression of AGE formation after 28 days. Moreover, it effectively inhibited amyloid formation in BSA cross‐linkages. These findings suggest the potential of S. platensis as an anti‐glycation and antidiabetic agent, supporting its consideration for dietary inclusion to manage diabetes and associated complications.
Phoenix dactylifera L.: An Overview of Phytochemical Constituents and Impact on Women's Health
Authors: AbouZeid Enaam M. , Afifi Ahmed H. , Hussei Rehab A. , Salama Abeer A. , Youssef Fadia S. , El‐Ahmady Sherweit H. , Ammar Nagwa Mohamed 
Published: April 2024

AbstractPhoenix dactylifera L. (date palm) is the most significant member of the palm family (Arecaceae), particularly in the Middle East and Arab World. It is a valuable source of both primary and secondary metabolites including sugars, amino acids, phenolic acids, flavonoids, proanthocyanidins, carotenoids, phytosterols, terpenes and sphingolipids, besides vitamins and minerals. Besides, it possesses a wide array of pharmacologic activities viz. immunomodulatory, antioxidant, anti‐inflammatory, hepatoprotective, nephroprotective, anti‐mutagenic and anti‐cancer activities, in addition to its positive effects on male and female fertility. Further research is still required to deeply understand its clinical implications, especially concerning women's health. Moreover, there are other Phoenix species that still need to be investigated to learn more about their undiscovered phytochemical components and biological activities.
Chemical Constituents of the Fruits of Cornus Officinalis and Evaluation of their Neuroprotective Activity
Authors: Yang Meng , Hao Zhi‐You , Wang Xiao‐Lan , Zhou Shi‐Qi , Xiao Chao‐Yuan , Chen Hui , Zheng Xiao‐Ke , Feng Wei‐Sheng 
Published: April 2024

AbstractThe phytochemical investigation of the fruits of Cornus officinalis yielded a new phenolic acid derivative, neophenolic acid A (1), and a novel flavonoid glycoside, (2R)‐naringenin‐7‐O‐β‐(6′′‐galloyl‐glucopyranoside) (2 a), along with six known flavonoid glycosides (2 b–7). Their structures were determined by 1D, 2D NMR and HRESIMS data. The absolute configuration of 1 was established by ECD analysis. Compounds 1– 7 were evaluated for their neuroprotective activities against corticosterone (CORT)‐induced injury in PC‐12 cells. Compounds 1, 2 a, 2 b, 5, and 6 exhibited neuroprotective activities against CORT‐induced neurotoxicity in PC‐12 cells. The underlying mechanism study suggested that compounds 1, 2 a, 2 b, 5, and 6 were able to attenuate CORT‐induced apoptosis and damage, increase the levels of MMP and decrease Ca2+ inward flow in PC‐12 cells.
Applications of Cellulose‐Based Nanomaterials for Sustainability and Therapeutics: A Review
Authors: Sariboga Ruken , Sarioglu Omer Faruk 
Published: April 2024

AbstractCellulose is a natural fibrous carbohydrate, is the main structural element of plant cell walls, and is the most abundant natural polymer found in the biosphere. Due to its abundance and chemical stability, it has been used as a raw material in various industries for thousands of years. Due to developments in nanotechnology, materials that are used in macroscale abundantly are also utilized for nanomaterial design, and cellulose‐based nanomaterials have gained more interest in recent years. The unique properties of cellulose‐based nanomaterials including their chemical stability, high degree of crystallinity, biocompatibility, biodegradability, and tunability of their chemical (e.g., surface modification) and physical (e.g., shape) properties make them good candidates for functional nanomaterial design. This review brings advances in cellulose‐based nanomaterials for application in two major fields, sustainability and therapeutics.
Oxidation of Alcohols and Aldehydes with Peracetic Acid and a Mn(II)/Pyridin‐2‐Carboxylato Catalyst: Substrate and Continuous Flow Studies
Authors: Ryan Ailbhe A. , Dempsey Seán D. , Smyth Megan , Fahey Karen , Moody Thomas S. , Wharry Scott , Dingwall Paul , Rooney David W. , Thompson Jillian M. , Knipe Peter C. , Muldoon Mark J. 
Published: April 2024

AbstractA homogeneous catalyst system consisting of Mn(OAc)2 and 2‐picolinic acid was studied for alcohol oxidation using peracetic acid as the oxidant. Catalyst loadings as low as 0.01 mol% could be utilized and the system compared well to other peroxide based methods. The utilization of continuous flow allowed the fast, exothermic reactions to be carried out in a safe and scalable manner.
Applications of Electrochemistry at the ITIES in Drug Discovery and Development – A Review
Authors: Ribeiro José A. , Pereira Carlos M. 
Published: April 2024

AbstractThe field of electrochemistry at the interface between two immiscible electrolyte solutions (ITIES) has been continuously expanding over the years due to their vast number of applications, including to investigate the partitioning of ionizable drugs at liquid‐liquid systems. The aim of this Review is to highlight the great potential of ITIES as simple model of biological membranes to gather information on drug partition, lipophilicity, and pharmacokinetics that can be very useful for researchers in the field of drug discovery for development of new drugs with enhanced permeability. Relevant contributions and perspectives to improve the applicability of ITIES in partition studies were highlighted and discussed. The second part of this Review pretends to highlight the application of electrochemistry at the ITIES as experimental technique to investigate interactions between small ligands, including drugs, and DNA, a topic of high research interest in pharmaceutical and biological sciences, which remains with lots of opportunities to explore.
Gasification for material recycling—A solution to the plastic flood?
Authors: Schulze‐Netzer Corinna 
Published: April 2024

AbstractSince 1950, only 9% of all plastic produced has undergone recycling, and a mere 10% of that has been recycled multiple times. Most discarded plastic (around 73%) ends up in landfills or is improperly managed, resulting in widespread littering. The main reason for low recycling rates is the lack of recycling technology for multi‐polymer and multi‐layer materials and unsortable mixed plastic waste. This plastic waste is one of the most accumulating types, including for example single‐use food packaging with an average lifetime of less than 6 months. These multi‐layer films, consisting of various polymer types, are not feasible for traditional mechanical recycling, which requires well‐sorted, clean, and homogeneous materials. Several methods for plastic recycling have been proposed to address this issue and tackle the overwhelming influx of plastic waste, among which steam gasification stands out as one of the most promising approaches for recycling mixed, contaminated, and unsortable plastics. This method utilizes high temperatures (800°C) to atomize the plastics, resulting in a gas mixture of , CO, and and small hydrocarbons. The resulting gas can be reformed through hydrocarbon syntheses, for example, via methanol to propylene and ethylene, and successive into new mono‐ and polymers of equal quality to fossil‐based plastics. Moreover, since the high temperatures atomize any organic structure, biomass can be used as a substitute for an extension of the carbon feed, ultimately reducing reliance on fossil feedstock. With these advantages, steam gasification can significantly increase recycling rates and contribute to a bio‐integrated circular carbon economy.
Does corporate governance influence environmental, social and governance disclosure practices of state‐owned enterprises? An international study
Authors: Nicolo' Giuseppe , Andrades‐Peña Francisco Javier 
Published: April 2024

AbstractThis paper provides fresh insights into the impact of corporate governance mechanisms on environmental, social and governance (ESG) disclosure practices of state‐owned enterprises (SOEs). To accomplish this study's research objective, we collected ESG and corporate governance data from Refinitiv Eikon's database on a balanced sample of 253 SOEs from 37 worldwide countries over 5 years (2018–2022), obtaining a total of 1265 observations. A battery of fixed and random effects panel regression models has been estimated to test the impact of board characteristics, like board size, board independence, board gender diversity, number of board meetings, Chief Executive Officer (CEO) duality and the presence of a corporate social responsibility (CSR) committee, on overall and individual ESG disclosure scores of sampled SOEs. Results show that while board size and CEO duality negatively affect SOE ESG disclosure, board independence and gender diversity, as well as the number of board meetings and the existence of a CSR committee, exert a positive influence.
A high‐precision voltage reference with a curvature‐compensated bandgap for fluorescence detection
Authors: Xiong Bingjun , Mo Wenji , Yan Feng , Guan Jian , Ge Weijie , Liu Jingjing 
Published: April 2024

SummaryFluorescent optical fiber temperature sensors require accurate online temperature monitoring in hazardous environments with strong electromagnetic fields, high voltages, flammability, or explosiveness. This imposes stringent requirements on the temperature coefficient stability of the bandgap reference (BGR) circuit. To address these challenges, this paper proposes a high‐order curvature compensation bandgap reference (HCC_BGR) circuit fabricated using a 0.18‐μm bipolar‐CMOS‐DMOS (BCD) process. A traditional first‐order bandgap reference (TRA_BGR) circuit is also fabricated for comparison. Experimental results demonstrate that the proposed HCC_BGR circuit generates a stable 1.22‐V reference voltage with a low‐temperature coefficient of 5.56 ppm/°C from −20°C to 85°C. Compared to the TRA_BGR circuit, the HCC_BGR reduces the temperature coefficient by 3.07 times. Furthermore, the low‐dropout regulator (LDO) using the proposed HCC_BGR exhibits excellent line sensitivity of 1.52%/V from 3.4 to 5 V.
Inductor integration for internal parallel inverters
Authors: Wu Kunchong , Ye Yuanmao , Liu Jiaxin , Chen Haolin , Wang Xiaolin 
Published: April 2024

SummaryIn addition to inheriting the merits of interleaved parallel inverters, the internal parallel structure (IPS) inverter has the advantages of reduced circulating current and lower switching loss. Currently, however, the suppression of circulating current and output current ripple individually results in an evident increase in the number and volume of inductors. In this work, an inductor integration scheme is developed to improve the IPS inverter. Two integrated inductors are developed for different application configurations. As a result, the circulating current and output current ripple are simultaneously suppressed by an integrated inductor, making each phase of the IPS inverter to be equipped with only one integrated inductor implemented by wounding two coils on one magnetic core. The feasibility of the inductor integration scheme for the IPS inverter is experimentally verified by a downscale prototype.
Gray matter gamma‐hydroxy‐butyric acid and glutamate reflect beta‐amyloid burden at old age
Authors: Schreiner Simon J. , Van Bergen Jiri M. G. , Gietl Anton F. , Buck Alfred , Hock Christoph , Pruessmann Klaas P. , Henning Anke , Unschuld Paul G. 
Published: April 2024

AbstractGamma‐hydroxy‐butyric acid (GABA) and glutamate are neurotransmitters with essential importance for cognitive processing. Here, we investigate relationships between GABA, glutamate, and brain ß‐amyloid (Aß) burden before clinical manifestation of Alzheimer's disease (AD). Thirty cognitively healthy adults (age 69.9 ± 6 years) received high‐resolution atlas‐based 1H‐magnetic resonance spectroscopic imaging (MRSI) at ultra‐high magnetic field strength of 7 Tesla for gray matter‐specific assessment of GABA and glutamate. We assessed Aß burden with positron emission tomography and risk factors for AD. Higher gray matter GABA and glutamate related to higher Aß‐burden (ß = 0.60, p < 0.05; ß = 0.64, p < 0.02), with positive effect modification by apolipoprotein‐E‐epsilon‐4‐allele (APOE4) (p = 0.01‐0.03). GABA and glutamate negatively related to longitudinal change in verbal episodic memory performance (ß = ‐0.48; p = 0.02; ß = ‐0.50; p = 0.01). In vivo measures of GABA and glutamate reflect early AD pathology at old age, in an APOE4‐dependent manner. GABA and glutamate may represent promising biomarkers and potential targets for early therapeutic intervention and prevention.Highlights
Gray matter‐specific metabolic imaging with high‐resolution atlas‐based MRSI at 7 Tesla.
Higher GABA and glutamate relate to ß‐amyloid burden, in an APOE4‐dependent manner.
Gray matter GABA and glutamate identify older adults with high risk of future AD.
GABA and glutamate might reflect altered synaptic and neuronal activity at early AD.