bluuebunny/crossref_metadata_2025_split huggingface dataset:
How and when future orientation shapes weekly career adaptability
Authors: Yang Yongkang , Tu Yidong , Wang Shuoli , Fan Yajun 
Published: May 2024

AbstractPrevious research has revealed higher career adaptivity leads to higher career adaptability from between‐person perspective. However, the construction of career adaptability is dynamic rather than static, so how career adaptivity influences episode‐level career adaptability from a within‐person perspective is critical but unknown. Drawing on career construction theory, we examined how future orientation, considered part of career adaptivity, influences weekly career adaptability. One wave of between‐person data (N = 97) and four waves of within‐person data (repeated measures) were collected from undergraduates in a Chinese university. The results found that future orientation positively predicted weekly career adaptability, and weekly future work self‐mediated the relationship between them. Loneliness negatively moderated the relationship between future orientation and weekly future work self and further negatively moderated the indirect effect of weekly future work self between future orientation and weekly career adaptability. The theoretical and practical implications are discussed.
Enhancing Substrate Channeling with Multi‐Enzyme Architectures in Hydrogen‐Bonded Organic Frameworks
Authors: Oskoei Vahide , Mathesh Motilal , Yang Wenrong 
Published: May 2024

AbstractHydrogen‐bonded organic frameworks (HOF) represent an emerging category of organic structures with high crystallinity and metal‐free, which are not commonly observed in alternative porous organic frameworks. These needle‐like porous structure can help in stabilizing enzymes and allow transfer of molecules between enzymes participating in cascade reactions for enhanced substrate channelling. Herein, we systematically synthesized and investigated the stability of HOF at extreme conditions followed by one‐pot encapsulation of single and bi‐enzyme systems. Firstly, we observed HOF to be stable at pH 1 to 14 and at high temperatures (up to 115 °C). Secondly, the encapsulated glucose oxidase enzyme (GOX) showed 80 % and 90 % of its original activity at 70 °C and pH 11, respectively. Thirdly, transient time close to 0 seconds was observed for HOF encapsulated bi‐enzyme cascade reaction system demonstrating a 4.25‐fold improvement in catalytic activity when compared to free enzymes with enhanced substrate channelling. Our findings showcase a facile system synthesized under ambient conditions to encapsulate and stabilize enzymes at extreme conditions.
A review of scale inhibitor methods during modified smart water injection
Authors: Ardakani Seyedeh Fatemeh Ghazi , Hosseini Seyed Taha , Kazemzadeh Yousef 
Published: May 2024

AbstractEnhancing oil recovery (EOR) through water flooding methods, including smart water injection, low salinity water injection, polymer injection, and surfactant injection has become a pivotal strategy for enhancing productivity. Despite their promising outcomes, these methods often encounter challenges such as scaling formation and deposition, impacting reservoir permeability and production rates. A comprehensive understanding of scaling formation is crucial for effective implementation of these methods. This article explores various scaling types prevalent in the field, examining key parameters (temperature, pressure, and pH) that influence scaling formation. Additionally, it presents a diverse range of inhibitors employing both chemical and mechanical methods to mitigate and prevent scaling, thus safeguarding reservoir performance. The efficiency of inhibitors is scrutinized concerning chemical composition and performance maintenance under different temperature and pressure conditions. This study serves as a valuable resource for researchers, engineers, and industry experts involved in the oil industry and reservoir management. By elucidating scaling mechanisms, delineating consequences, and offering extensive solutions, it enhances comprehension and provides a foundation for improving oil recovery strategies. The findings of this study contribute to a better understanding of scaling mechanisms, providing insights that can be applied to optimize oil recovery processes, mitigate reservoir challenges, and improve overall reservoir management strategies.
Occurrence, fate, transport, and removal technologies of emerging contaminants: A review on recent advances and future perspectives
Authors: Ghosh Rahul , Parde Divyesh , Bhaduri Soumyadeep , Rajpurohit Praveen , Behera Manaswini 
Published: May 2024

AbstractEmerging contaminants (ECs) are a category of relatively newly identified chemicals lacking regulatory status and generally of synthetic origin. ECs encompass a range of substances, including pharmaceuticals, antibiotics, antidiabetics, pesticides, personal care products (PCPs), and endocrine‐disrupting chemicals. ECs are frequently found in surface water, groundwater, and wastewater. Wastewater treatment plants (WWTPs) are often identified as sources of these chemicals. ECs enter wastewater through improper disposal or usage of consumer goods, agricultural runoff, toxic spillage, and prescription drug excretion in urine and feces, as the human body metabolizes a fraction of administered drugs. The presence of ECs in aquatic environments poses a significant threat, as they can potentially harm both the ecosystem and humans, even at low concentrations. For a comprehensive understanding of the impacts of ECs, it is essential for researchers to investigate the occurrence, sources, fate, and transport of these substances in wastewater. This review investigates the origins and ultimate fate of these ECs, examining their interactions with the surrounding aquatic environments. It aims to provide a comprehensive understanding of the characteristics and behaviors of ECs through an in‐depth analysis. This review discusses treatment techniques and processes and examines potential pathways for future advancement.
Adaptive QoE‐based video delivery by optimizing the bitrate of the video course using network bandwidth and user bandwidth
Authors: Venkatesh Naik Nanavath , Madhavi Kasa 
Published: May 2024

SummaryWith the increase in internet connectivity worldwide, people have resorted to various video streaming applications for entertainment, education, healthcare, and so on. However, this has resulted in huge internet traffic, which is predominantly occurring due to the increased transmission of videos over wireless networks to mobile devices, Transmission of ultra‐high‐definition videos can be effortlessly carried out, although the video quality perceived by the users is normally lesser than the anticipated quality. In video streaming applications, it is a pre‐requisite to provide users with high quality of experience (QoE) but this is generally affected by the dynamic variations in the network conditions. This work presents a novel QoE‐based video delivery system in a collaborative e‐learning platform. Here, a novel deep learning structure recurrent neural network‐long short term memory (RNN‐LSTM) is developed for adaptive bit rate (ABR) selection, thereby providing users with videos of high QoE. Various network, time, and buffer‐based parameters are considered while selecting the bit rate. Additionally, the proposed RNN‐LSTM is assessed for its superiority in providing high QoE videos based on measures, like QoE, buffer size, and bit rate, and is observed to attain values of 0.975, 45.654, and 90.766 b/s, respectively.
The landscape of inequalities in dementia across Europe: First insights from the INTERDEM taskforce
Authors: Giebel Clarissa , Harding Emma , Volkmer Anna , Chirico Ilaria , Hopper Louise , Szczesniak Dorota , Talbot Catherine V. , Diaz‐Ponce Ana , Gove Dianne , Knapp Martin , Robinson Louise , Rahman‐Amin Malayka , Thyrian Rene , Hanna Kerry ,   INTERDEM Taskforce on Inequalities in Dementia Care
Published: May 2024

AbstractBackgroundGetting a diagnosis of dementia does not equate to equitable access to care. People with dementia and unpaid carers face many barriers to care, which can vary within, and across, different countries and cultures. With little evidence across different countries, the aim of this scoping exercise was to identify the different and similar types of inequalities in dementia across Europe, and provide recommendations for addressing these.MethodsWe conducted a brief online survey with INTERDEM and INTERDEM Academy members across Europe, and with members of Alzheimer Europe's European Working Group of People with Dementia and Carers in February and March 2023. Members were asked about whether inequalities in dementia care existed within their country; if yes, to highlight three key inequalities. Responses on barriers were coded into groups, and frequencies of inequalities were calculated. Highlighted inequalities were discussed and prioritised at face‐to‐face and virtual consensus meetings in England, Ireland, Italy, and Poland, involving people with dementia, unpaid carers, health and social care providers, and non‐profit organisations.ResultsForty‐nine academics, PhD students, people with dementia and unpaid carers from 10 countries (Belgium, Denmark, Germany, Greece, Ireland, Italy, Poland, Malta, Netherlands, UK) completed the survey. The most frequently identified inequalities focused on unawareness and lack of information, higher level system issues (i.e. lack of communication among care professionals), lack of service suitability, and stigma. Other barriers included workforce training and knowledge, financial costs, culture and language, lack of single‐point‐of‐contact person, age, and living location/postcode lottery. There was general consensus among people living dementia and care providers of unawareness as a key barrier in different European countries, with varied priorities in Ireland depending on geographical location.ConclusionsThese findings provide a first insight on dementia inequalities across Europe, generate cross‐country learnings on how to address these inequalities in dementia, and can underpin further solution‐focused research that informs policy and key decision makers to implement changes.
The correlation between liver fibrosis and the 10‐year estimated risk of cardiovascular disease in adults with metabolic‐associated fatty liver disease: A cross‐sectional study in Vietnam
Authors: Dang Hai Nguyen Ngoc , Luong Thang Viet , Tran Toan Thanh , Hoang Tien Anh 
Published: May 2024

AbstractBackground and AimsMetabolic‐associated fatty liver disease (MAFLD) emerged as a novel term replacing nonalcoholic fatty liver disease (NAFLD) in 2020. While most MAFLD patients are asymptomatic, long‐term hepatic fat accumulation may lead to liver fibrosis and cardiovascular disease (CVD). Nevertheless, the relationship between MAFLD and cardiovascular (CV) risk factors remains unclear. This study aimed to assess the 10‐year estimated CVD risk in individuals diagnosed with MAFLD.MethodsBetween January 2022 and August 2023, this cross‐sectional study enrolled 139 MAFLD patients. We employed the systematic coronary risk evaluation 2 (SCORE2) and the systematic coronary risk evaluation 2–older persons (SCORE2‐OP) scoring systems to evaluate and categorize the 10‐year CV risk. Liver fibrosis was assessed using biochemical parameters (FIB‐4, AST/ALT, and APRI), and their correlation with CV risk was examined.ResultsMost MAFLD patients were categorized as having high or very high CV risk based on the SCORE2 and SCORE2‐OP. Liver fibrosis, measured by the FIB‐4 score, significantly differed among the various CV risk groups. Moreover, FIB‐4 correlated positively with SCORE2 and SCORE2‐OP (r = 0.588, p < 0.001), indicating its substantial predictive ability for identifying individuals at very high CV risk (AUC = 0.765, 95% CI: 0.686–0.845, p < 0.001). A FIB‐4 score of 1.275 demonstrated 81% sensitivity and 64% specificity in predicting very high CV risk among MAFLD patients.ConclusionPatients with MAFLD predominantly face high or very high CV risks, with elevated liver fibrosis associated with increased 10‐year estimated CVD risk. The FIB‐4 score exhibits promising predictive value for identifying MAFLD patients at very high risk of CV disease.
Endothelial cellular senescence and tau accumulation: An interplay full of opportunities?
Authors: Oliveri Doriana , Moschetti Giorgia , Griego Anna , Scarpa Edoardo 
Published: May 2024

AbstractRecent research has shown that tau protein can be passed to neighboring cells, leading to cellular senescence in the endothelial cells present in the central nervous system (CNS). This discovery could potentially open new doors for testing novel therapeutic compounds that specifically target senescent cells (senolytics) or for identifying new biomarkers that can enable early detection of tauopathies and dementia.
Bioengineered carbohydrate polymers for colon‐specific drug release: Current trends and future prospects
Authors: Bhirud Darshan , Bhattacharya Sankha , Prajapati Bhupendra G. 
Published: May 2024

AbstractThe worldwide health burden of colorectal cancer is still substantial, and traditional chemotherapeutic drugs sometimes have poor selectivity, which can result in systemic toxicity and unfavorable side effects. For colon‐specific medication delivery, bioengineered carbohydrate polymers have shown promise as carriers. They may enhance treatment effectiveness while minimizing systemic exposure and associated side effects. The unique properties of these manufactured or naturally occurring biopolymers, such as hyaluronic acid, chitosan, alginate, and pectin, enable targeted medicine release. These qualities can be changed to meet the physiological needs of the colon. In the context of colorectal cancer therapy, this article provides a comprehensive overview of current developments and prospective future directions in the field of bioengineered carbohydrate polymer synthesis for colon‐specific drug delivery. We discuss numerous techniques for achieving colon‐targeted drug release, including enzyme‐sensitive polymers, pH‐responsive devices, and microbiota‐activated processes. To increase tumor selectivity and cellular uptake, we also examine the inclusion of active targeting approaches, such as conjugating specific ligands. Furthermore, we discuss the potential of combination treatment strategies, which use the coadministration of numerous therapeutic medications to target multiple pathways implicated in cancer growth and address drug resistance mechanisms. We address recent biomimetic advances that potentially improve the biocompatibility, cellular uptake, and tumor penetration of carbohydrate polymer‐based nanocarriers. These methods involve protein corona engineering and cell membrane coating. Furthermore, we look at the possibility of intelligent and sensitive systems that may adjust their behaviors in response to certain inputs or feedback loops, allowing for precise and regulated drug distribution.
Integrated neural network and evolutionary algorithm approach for liver fibrosis staging: Can artificial intelligence reduce patient costs?
Authors: Nazarizadeh Ali , Banirostam Touraj , Biglari Taraneh , Kalantarhormozi Mohammadreza , Chichagi Fatemeh , Behnoush Amir H , Habibi Mohammad A , Shahidi Ramin 
Published: May 2024

AbstractBackground and AimStaging liver fibrosis is important, and liver biopsy is the gold standard diagnostic tool. We aim to design and evaluate an artificial neural network (ANN) method by taking advantage of the Teaching Learning‐Based Optimization (TLBO) algorithm for the prediction of liver fibrosis stage in blood donors and hepatitis C patients.MethodsWe propose a method based on a selection of machine learning classification methods including multilayer perceptron (MLP) neural network, Naive Bayesian (NB), decision tree, and deep learning. Initially, the synthetic minority oversampling technique (SMOTE) is performed to address the imbalance in the dataset. Afterward, the integration of MLP and TLBO is implemented.ResultsWe propose a novel algorithm that reduces the number of required patient features to seven inputs. The accuracy of MLP using 12 features is 0.903, while that of the proposed MLP with TLBO is 0.891. Besides, the diagnostic accuracy of all methods, except the model designed with the Bayesian network, increases when the SMOTE balancer is applied.ConclusionThe decision tree‐based deep learning methods show the highest levels of accuracy with 12 features. Interestingly, with the use of TLBO and seven features, MLP reached an accuracy rate of 0.891, which is quite satisfactory when compared with those of similar studies. The proposed model provides high diagnostic accuracy, while reducing the required number of properties from the samples. The results of our study show that the recruited algorithm of our study is more straightforward, with a smaller number of required properties and similar accuracy.
Palladium‐catalyzed [4 + 2] cycloaddition of sulfamate‐derived cyclic imines with γ‐methylidene‐δ‐valerolactones/2‐methylidenetrimethylene carbonate
Authors: Huang Ke‐Xin , Wu Wen‐Jie , Chen Zhao‐Yang , Du Jia , Gao Wen‐Chao 
Published: May 2024

AbstractA general and useful palladium‐catalyzed [4 + 2] cycloaddition of sulfamate‐derived cyclic imines with γ‐methylidene‐δ‐valerolactones (or 2‐methylidenetrimethylene carbonate) is described. The developed strategy generated diverse sulfamate‐fused piperidine derivatives (or sulfamate‐fused 1,3‐oxazinane rings) in good yields.
An improved microwave‐assisted facile one‐pot synthesis of novel pyrazolylphosphonates via Knoevenagel‐phospha‐Michael protocol
Authors: Mahdjoub Sara , Derabli Chamseddine , Yildirim Muhammet , Boulcina Raouf , Debache Abdelmadjid 
Published: May 2024

AbstractIn this study, a highly effective microwave‐assisted method employing a multicomponent domino Knoevenagel/phospha‐Michael reaction has been established. This approach facilitates the synthesis of a novel set of pyrazolylphosphonate derivatives in good yields by combining aryl aldehydes with pyrazolones and trialkylphosphites, utilizing piperidine as a Bronsted base catalyst. All pyrazolylphosphonates have been characterized by means of IR, 1H‐NMR, 13C‐NMR, and HRMS analyses and physical methods. This protocol can be characterized by its eco‐friendly nature, exceptional efficiency in terms of product yields, and short reaction times.
Synthesis of substituted 5‐aryl‐2,3‐dihydropyrazine 1,4‐dioxides based on condensation of N,N′‐(2,3‐dimethylbutane‐2,3‐diyl)bis(hydroxylamine) with various arylglyoxals
Authors: Bakuleva Nadezhda A. , Lichitsky Boris V. , Tsyganov Dmitry V. , Komogortsev Andrey N. , Melekhina Valeriya G. , Tretyakov Evgeny V. 
Published: May 2024

AbstractFor the first time, a method for the synthesis of 2,3‐dihydropyrazine 1,4‐dioxide derivatives was devised. The presented approach is based on the reaction of N,N′‐(2,3‐dimethylbutane‐2,3‐diyl)bis(hydroxylamine) with α‐ketoaldehydes. A distinctive feature of the proposed protocol is the application of sulfate of the aforementioned bis‐hydroxylamine in the considered condensation. The advantages of the newly developed route are a one‐step synthetic procedure involving easily available starting materials, atom economy, and simple work‐up of the reaction mixture. The structure of one of the obtained products was confirmed by x‐ray analysis.
2D 1H sLASER Long‐TE and 3D 31P Chemical Shift Imaging at 3 T for Monitoring Fasting‐Induced Changes in Brain Tumor Tissue
Authors: Alcicek Seyma , Divé Iris , Thomas Dennis C. , Prinz Vincent , Forster Marie‐Thérèse , Czabanka Marcus , Weber Katharina J. , Steinbach Joachim P. , Ronellenfitsch Michael W. , Hattingen Elke , Pilatus Ulrich , Wenger Katharina J. 
Published: May 2024

BackgroundEmerging evidence suggests that fasting could play a key role in cancer treatment. Its metabolic effects on gliomas require further investigation.PurposeTo design a multi‐voxel 1H/31P MR‐spectroscopic imaging (MRSI) protocol for noninvasive metabolic monitoring of cerebral, fasting‐induced changes on an individual patient/tumor level, and to assess its technical reliability/reproducibility.Study TypeProspective.PopulationMRS phantom. Twenty‐two patients (mean age = 61, 6 female) with suspected WHO grade II‐IV glioma examined before and after 72‐hour‐fasting prior to biopsy/resection.Field Strength/Sequence3‐T, 1H decoupled 3D 31P MRSI, 2D 1H sLASER MRSI at an echo time of 144 msec, 2D 1H MRSI (as water reference), T1‐weighted, T1‐weighted contrast‐enhanced, T2‐weighted, and FLAIR. sLASER and PRESS sequences were used for phantom measurements.AssessmentPhantom measurements and spectral simulations were performed with various echo‐times for protocol optimization. In vivo spectral analyses were conducted using LCModel and AMARES, obtaining quality/fitting parameters (linewidth, signal‐to‐noise‐ratio, and uncertainty measures of fitting) and metabolite intensities. The volume of glioma sub‐regions was calculated and correlated with MRS findings. Ex‐vivo spectra of necrotic tumor tissues were obtained using high‐resolution magic‐angle spinning (HR‐MAS) technique.Statistical TestsWilcoxon signed‐rank test, Bland–Altman plots, and coefficient of variation were used for repeatability analysis of quality/fitting parameters and metabolite concentrations. Spearman ρ correlation for the concentration of ketone bodies with volumes of glioma sub‐regions was determined. A P‐value <0.05 was considered statistically significant.Results1H and 31P repeatability measures were highly consistent between the two sessions. β‐hydroxybutyrate and acetoacetate were detectable (fitting‐uncertainty <50%) in glioma sub‐regions of all patients who completed the 72‐hour‐fasting cycle. β‐hydroxybutyrate accumulation was significantly correlated with the necrotic/non‐enhancing tumor core volume (ρ = 0.81) and validated using ex‐vivo 1H HR‐MAS.Data ConclusionWe propose a comprehensive MRS protocol that may be used for monitoring cerebral, fasting‐induced changes in patients with glioma.Evidence Level1Technical EfficacyStage 4
Beyond borders: Examining the role of national learned societies in the social sciences and humanities
Authors: Late Elina , Guns Raf , Pölönen Janne , Stojanovski Jadranka , Urbanc Mimi , Ochsner Michael 
Published: May 2024

AbstractThe aim of this paper is to examine the status of national learned societies in social sciences and humanities (SSH) in Europe. Previous research shows that learned societies serve diverse roles in higher education and suggests that national societies come under pressure given different developments, such as internationalization or open science adoption. We investigate a comprehensive range of aspects within national learned societies: primary goals, activities, internationalization, organization, funding, membership, and recent changes, addressing potential pressures arising from them. Using a cross‐national survey involving 194 learned societies across eight European countries, we study: (a) do the previous findings from individual countries or small selections of national societies hold for a broad range of learned societies in SSH across Europe, and (b) are national learned societies coming under pressure due to internationalization and commercialization processes? Our findings confirm previous results from single countries and single disciplines and expand them as our results show that national learned societies in SSH play an important role in Europe in promoting multilingualism in science, collaborating with many stakeholders, and fostering interdisciplinarity. Contrary to previous research, most SSH societies in our study have not undergone significant changes in the past 5 years, challenging expectations of their declining role.