bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trend analysis of noncommunicable diseases and their risk factors in Afghanistan
Authors: Neyazi Narges , Mosadeghrad Ali Mohammad , Tajvar Maryam , Safi Najibullah 
Published: March 2023

AbstractBackgroundAfghanistan is suffering from 40‐year chronic conflicts, displacement, and demolition of its infrastructure. Afghanistan mortality survey 2010 shows nearly 46% of all deaths in the country were attributed to noncommunicable diseases (NCDs). In this study, we aimed to understand the differences in mortality and premature death due to NCDs by sex and the trend for the next 8 years.MethodsWe applied trend analysis using the secondary data from the Institute for Health Metrics and Evaluation, Global Burden of Diseases 2019. The information on NCD mortality, NCD deaths attributed to its risk factors, NCD percent of total years lived with disability (YLDs) attribution to each risk factor extracted from this database from 2008 to 2019. We investigated the trend from 2008 to 2019 for the mentioned factors and then forecast their trends until 2030.ResultsOur study shows that Afghanistan has had an increasing death number due to NCDs from 2008 to 2019 (50% for both sexes) and this will reach nearly 54% by 2030. Currently, half of NCDs deaths are premature in Afghanistan. The mortality rate and prevalence of risk factors are higher among women. More than 70% of YLDs will be due to NCDs in Afghanistan till 2030. Five risk factors including high systolic blood pressure (28.3%), high body mass index (23.4%), high blood glucose (20.6%), high low‐density lipoprotein cholesterol (16.3%), and smoking (12.3%) will have the highest contribution to NCDs death in 2030, respectively.ConclusionsIn general, our study indicates that without any specific intervention to address NCDs in Afghanistan, not only the Sustainable Development Goal target for NCDs will not be met, but an increase in almost all risk factors prevalence, as well as NCD mortality, will be seen in Afghanistan.
Catalytic Enantioselective [3+2] Cycloaddition of N‐Metalated Azomethine Ylides
Authors: Kumar Sundaravel Vivek , Guiry Patrick J. 
Published: March 2023

AbstractAsymmetric [3+2] cycloaddition reactions are fascinating and powerful methods for the synthesis of enantioenriched pyrrolidines up to four stereocentres. Pyrrolidines are important compounds for both biology and organocatalytic applications. This review summarizes the most recent advances in the enantioselective synthesis of pyrrolidines by [3+2] cycloadditions of azomethine ylides using metal catalysis. It has been organized by the type of metal catalysis used and further arranged by the complexity nature of dipolarophile. The presentation of each reaction type highlights their advantages and limitations.
Tunable Macrocyclic Polyparaphenylene Nanolassos via Copper‐Free Click Chemistry
Authors: Schaub Tobias A. , Zieleniewska Anna , Kaur Ramandeep , Minameyer Martin , Yang Wudi , Schüßlbauer Christoph M. , Zhang Lina , Freiberger Markus , Zakharov Lev N. , Drewello Thomas , Dral Pavlo O. , Guldi Dirk M. , Jasti Ramesh 
Published: March 2023

AbstractDeriving diverse compound libraries from a single substrate in high yields remains to be a challenge in cycloparaphenylene chemistry. In here, a strategy for the late‐stage functionalization of shape‐persistent alkyne‐containing cycloparaphenylene has been explored using readily available azides. The copper‐free [3+2]azide‐alkyne cycloaddition provided high yields (>90 %) in a single reaction step. Systematic variation of the azides from electron‐rich to ‐deficient shines light on how peripheral substitution influences the characteristics of the resulting adducts. We find that among the most affected properties are the molecular shape, the oxidation potential, excited state features, and affinities towards different fullerenes. Joint experimental and theoretical results are presented including calculations with the state‐of‐the‐art, artificial intelligence‐enhanced quantum mechanical method 1 (AIQM1).
Recent advances in room temperature phosphorescence of chiral organic materials
Authors: Patil Yuvraj , Demangeat Catherine , Favereau Ludovic 
Published: March 2023

AbstractRoom temperature phosphorescence (RTP) in purely organic materials is an uncommon phenomenon of emission, which can be characterized by a long persistent luminescence after removal of the excitation source. In the recent years, RTP organic materials have received a considerable attention due to their high application potential in various advancing technologies, ranging from optoelectronic to biomedical applications. In parallel, many progresses have been achieved on the rationalization of this process and led to the emergence of innovative strategies aiming to achieve highest performances both in terms of phosphorescence efficiency and lifetime. While the topic is still on an ascendant development, the generation of circularly polarized phosphorescent (CPP) emission from purely organic molecules is by far much less explored and remains an impressive challenge. Still, the perspective of CPP materials appears as an interesting opportunity to answer several comprehensives issues existing in the field. In this article, we define, in a straightforward way, basic principles and key notions for the generation of RTP and CP luminescence (CPL) guiding the design toward CPP materials. After this brief insight, recent advances in the field of chiral organic RTP materials are discussed with an emphasis on their CP‐RTP properties. Based on this development, the conclusion drawn allows establishing the next challenges and future opportunities standing in the field.
Dynamic simulation of the grassland connectivity and the effects of landscape pattern in China's Poyang Lake from the integrated perspective of habitat and biology
Authors: Zhang Cheng , Chen Wenbo , He Lei , Huang Fangfang , Li Haifeng 
Published: March 2023

AbstractAnalysing the dynamics of landscape connectivity is of great significance for biodiversity conservation, but the scientific expression of ecological processes and the depth of coupling landscape pattern and ecological process requires to be strengthened. Taking the grassland of Poyang Lake as a case, based on the integrated perspective of habitat and biology, and comprehensively considering the ecological process of water level change and species dispersal, this study firstly analysed the changes of functional connectivity of grassland with different water levels and dispersal distances by using the graph‐based connectivity indices. Then, landscape pattern indices were applied to analyse the dynamics of landscape pattern of grassland and further study the effects of landscape pattern on landscape functional connectivity. The results showed as follows: (1) From the perspective of habitat, the functional connectivity of grassland has progressively decreased with the increase of water level. From the perspective of ecology, the species dispersal distance had an absolutely positive impact on landscape functional connectivity. With the increase of dispersal distance, the functional connectivity of grassland increased significantly. (2) The dynamics of landscape pattern of grassland showed that with the increase of water level, the patch area shrank, the patch shape tended to be simple, the patch density decreased and the patch fragmentation aggravated. (3) The correlation results between landscape pattern and functional connectivity indicated that flux index (F) had a significant positive relationship with patch density (PD), edge density (ED), probability of connectivity (PC) had a strong significant positive relationship with largest patch index (LPI), COHESION and number of components (NC) had a negative relationship with LPI, ED, COHESION. This study provides theoretical guidance for the protection and management of grassland in Poyang Lake.
Flexible piezoelectric sensor for pregnant recognition based on the pulse‐taking procedure in traditional Chinese medicine
Authors: Song Xian , Li Bo , Wang Pengyu , Zhou Yizhao , Wang Jian , Wang Yaqun , Fang Chengbing , Jin Meiyuan 
Published: March 2023

AbstractTraditional Chinese medicine (TCM) is an experienced‐based discipline and plays an important role in the current medical system. Digitalizing key features is the best way to con‐duct an in‐depth analysis of TCM. However, due to its complex generation mechanism, the crucial pulse‐taking procedure is hard to be digitalized and analyzed. This article fabricated a flexible piezoelectric sensor to gather data for the pulse‐taking procedure. The sensitivity of the proposed flexible sensor reached 0.34 V/kPa, so we adopted peripheral circuits to make its output signals stay in a reasonable range (± 0.5 V) for convenient data collection. We used the sensor to recognize whether a woman is pregnant since it has solid golden standards. The pulse signal was fused via mapping the signal spectrogram into a 3‐dimension tensor. The fused matrix was then processed by GoogleNet and reached a 90.48% correction rate. This result shows that the pulse condition has statistical differences, which solidified the objectivity of pulse diagnosis and escalated the TCM's digitalization level.
Synergistic effect of protease and cranberry powder to enhance the quality characteristics of fried beef meatballs
Authors: Liang Xinyue , Zhou Na , Irfan Muhammad , Gerard Mugabe , Wang Yonghua , Wang Fanghua 
Published: March 2023

AbstractTenderness and color affect meat quality. Our previous results indicated that cranberry powder can partially replace NaNO2 in fried beef meatballs processing without compromising on its quality, especially the color. In this research, the effect of different protease enzymes combined with 10 g/kg cranberry powder for improving the quality, characteristics of fried beef meatballs were investigated. Addition of protease together with cranberry powder, the tenderness, a* value, and sensory score of fried beef meatballs were improved as a whole compared with sole 10 g/kg cranberry powder addition, indicating that protease had a beneficial effect on improving the quality of fried beef meatballs. Among the different proteases screened, the fried beef meatballs prepared with 80 U/g bromelain had a relatively higher a* value (13.06) and tenderness (12.61), and the overall acceptability (6) was the highest. Meanwhile, this combination exhibited lower shear stress and cooking loss, with higher water‐holding capacity and protein content. The effects of marination time on the physicochemical properties of fried beef meatballs were also investigated. Marinating for 8 h displayed the best effect with the highest a* value, the lowest shear force. The current study provides a potential solution for the quality improvement of fried beef meatballs.
Promoted Ru/Al2O3 catalysts with improved low‐temperature activity for CO2 methanation reaction
Authors: Chen Rong , Shen Liang , Zhang Wenhao , Han Yi‐Fan , Yang Zixu , Zhu Minghui 
Published: March 2023

AbstractCatalytic thermal hydrogenation of CO2 to CH4 is one of the promising decarbonization technologies, and Ru is considered to be the most active metal for low‐temperature CO2 methanation. In this work, a series of metal‐promoted Ru‐based catalysts were prepared by the impregnation–precipitation method. The catalyst composition, reduction temperature, reaction gas concentration, and reaction conditions were optimized. The reaction mechanism was investigated through CO‐DRIFTS experiments. It was found that the addition of Pt could promote the adsorption of CO on the surface of ruthenium‐based catalysts, which was beneficial to the methanation reaction. In addition, in situ DRIFTS experiments observed surface species of catalysts during the reaction, and it was concluded that bicarbonate was the intermediate species of the reaction. © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd.
Copper trade risk in China: A multidimensional dynamic evaluation
Authors: Wang Taixin , Wang Minxi , Kang Xinyu , Chen Lu , Li Xin 
Published: March 2023

AbstractCopper is the primary material of the national manufacturing industry, widely used to construct the national economy. As one of the critical minerals, trade security of copper resources is related to the stable development of the domestic industry. The dynamic evaluation of China's copper trade and identification of the principal risk points is helpful to promote the sustainable development of resources. In this paper, the environmental impact of trade is included in the research category, and the paper conducts a dynamic assessment of China's copper trade risks from 2001 to 2020 of multiple dimensions through the improved DEA‐like model, identifies the main risk points in different periods, and predicts future trade risks. The results show that China's copper resource trade risk has continued to rise since 2001, and its characteristics have gradually changed. The main risk points of trade have experienced the market equilibrium stage, reserve resources stage, and import dependency stage. A high degree of external dependence and environmental pollution intensification has become the key factors influencing the trade risk at the present stage. Copper resources risk will rise slowly in the future and reach a high‐risk state. Trade risks will decline slightly after 2025, but it is still in a dangerous condition. Relevant policies need to be issued to alleviate the trade risk. Combined with the evaluation results, this paper puts forward multidimensional risk management suggestions to ensure the security of copper resources, and improve the flexibility of the resource industry chain. The article provides direction for resource security and sustainable development in the future. © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd.
Public health crisis and risky road behaviors
Authors: Shr Yau‐Huo (Jimmy) , Yang Feng‐An 
Published: March 2023

AbstractThis study investigates how exposure to riskier environments influences risky road behaviors, using the COVID‐19 pandemic as a natural experiment. Utilizing administrative individual traffic violation records from Taipei, where neither mandatory lockdown nor mobility restrictions were imposed, we find that pandemic‐induced risk decreased speeding violations and that the effect was transitory. However, no significant changes were observed concerning violations with a minimal risk of casualties, such as illegal parking. These findings suggest that experiencing a higher level of life‐threatening risk discourages risky behaviors concerning human life but has little spillover effect on those concerning only financial costs.
Forecasting the human and climate impacts on groundwater resources in the irrigated agricultural region of North China Plain
Authors: Chen Haorui , Wu Mousong , Duan Zheng , Zha Yuanyuan , Wang Songhan , Yang Long , Zou Liangchao , Zheng Minjie , Chen Peng , Cao Wei , Zhang Wenxin 
Published: March 2023

AbstractClimate change has caused significant impacts on water resource redistribution around the world and posed a great threat in the last several decades due to intensive human activities. The impacts of human water use and management on regional water resources remain unclear as they are intertwined with the impacts of climate change. In this study, we disentangled the impact of climate‐induced human activities on groundwater resources in a typical region of the semi‐arid North China Plain based on a process‐oriented groundwater modelling approach accounting for climate‐human‐groundwater interactions. We found that the climate‐induced human effect is amplified in water resources management (‘amplifying effect’) for our study region under future climate scenarios. We specifically derived a tipping point for annual precipitation of 350 mm, below which the climate‐induced human activities on groundwater withdrawal will cause significant ‘amplifying effect’ on groundwater depletion. Furthermore, we explored the different pumping scenarios under various climate conditions and investigated the pumping thresholds, which the pumping amount should not exceed (4 × 107 m3) in order to control future groundwater level depletion. Our results highlight that it is critical to implement adaptive water use practices, such as water‐saving irrigation technologies in the semi‐arid regions, in order to mitigate the negative impacts of groundwater overexploitation, particularly when annual precipitation is anomalously low.
Caregiving antecedents of secure base script knowledge inferred from the Adult Attachment Interview: A comparative, pre‐registered analysis
Authors: Nivison Marissa D. , Dagan Or , Booth‐LaForce Cathryn , Roisman Glenn I. , Waters Theodore E. A. 
Published: March 2023

AbstractAttachment theorists claim that the quality of parental support is internalized as a mental representation of early relationship experiences. Increasingly, the content of attachment representations is evaluated by studying the extent to which adults demonstrate knowledge of the secure base script, either in the context of the attachment script assessment (ASA) or during the Adult Attachment Interview (AAIsbs). Preliminary evidence from a high‐risk sample showed that AAIsbs was more strongly associated with the quality of antecedent caregiving than was the more traditional approach to the measurement of adult attachment focused on the coherence of adults' AAI discourse. Drawing on new coding of data from the NICHD Study of Early Child Care and Youth Development (SECCYD), we found that AAIsbs around age 18 years was significantly predicted by observations of maternal (r = 0.21) and paternal (r = 0.12) sensitivity assessed prospectively through age 15 years, and with attachment security in the first 3 years of life (r = 0.08). AAIsbs was also associated with existing measures of adult attachment (rs = 0.31–0.42). Pre‐registered analyses revealed that AAIsbs performed in a manner roughly comparable to traditional, though more labour‐intensive approaches to coding the AAI. Based on all available evidence from the SECCYD and the pragmatic challenges and advantages of different narrative methods for assessing adult attachment representations, researchers seeking to measure attachment representations should strongly consider the strengths of the ASA in term of practicality, performance, and adaptability to various age groups across development.Highlights
The present report examines the extent to which secure base script knowledge, as assessed by the Adult Attachment Interview (AAIsbs) has its origins in early caregiving experiences, and to report how AAIsbs performs in comparison to existing measures of adult attachment, in a large scale, normative‐risks sample of adolescents.
Data were drawn from the newly re‐coded AAIs from the NICHD Study of Early Childcare and Youth Development.
Overall, the AAIsbs system performs as well as traditional AAI measures, but researchers looking to examine adult attachment representations should consider using the Attachment Script Assessment both for its empirical and pragmatic advantages.
A multidimensional approach to measuring vulnerability to poverty among refugee populations
Authors: Lyons Angela C. , Kass‐Hanna Josephine , Montoya Castano Alejandro 
Published: March 2023

AbstractThis study constructs a multidimensional livelihood index (MLI) using data from Syrian refugees in Lebanon to identify households who are currently poor. The MLI is then used to predict households' vulnerability to future poverty using a three‐stage Feasible Generalized Least Squares (FGLS) model. The analysis identifies more precisely which households and geographical locations are vulnerable to experiencing prolonged poverty. This study is among the first to adapt the multidimensional poverty framework to the context of protracted forced displacement. The approach provides insights into how humanitarian and development organizations can more optimally target assistance to alleviate immediate and future poverty.
A biophysical approach to study the impact of muscle relaxant drug tizanidine on stability and activity of serum albumins
Authors: Patel Rajan , Singh Birajpal , Sharma Anurag , Wani Farooq Ahmad , Siddiquee Md. Abrar , Anand Aashima , Malik Maqsood Ahmad , Al‐Thabaiti Shaeel Ahmed , Khan Imran 
Published: March 2023

AbstractThe binding affinity of a drug with carrier proteins plays a major role in the distribution and administration of the drug within the body. Tizanidine (TND) is a muscle relaxant having antispasmodic and antispastic effects. Herein, we have studied the effect of tizanidine on serum albumins by spectroscopic techniques, such as absorption spectroscopic analysis, steady, state fluorescence, synchronous fluorescence, circular dichroism, and molecular docking. The binding constant and number of binding sites of TND with serum proteins were determined by means of fluorescence data. The thermodynamic parameters, like Gibbs' free energy (ΔG), enthalpy change (ΔH), and entropy change (ΔS), revealed that the complex formation is spontaneous, exothermic, and entropy driven. Further, synchronous spectroscopy revealed the involvement of Trp (amino acid) responsible for quenching of intensity in fluorescence in serum albumins in presence of TND. Circular dichroism results suggest that more folded secondary structure of proteins. In BSA the presence of 20 μM concentration of TND was able to gain most of its helical content. Similarly, in HSA the presence of 40 μM concentration of TND has been able to gain more helical content. Molecular docking and molecular dynamic simulation further confirm the binding of TND with serum albumins, thus validating our experimental results.
Correct standard errors can bias meta‐analysis
Authors: Stanley T. D. , Doucouliagos Hristos 
Published: March 2023

AbstractPartial correlation coefficients are often used as effect sizes in the meta‐analysis and systematic review of multiple regression analysis research results. There are two well‐known formulas for the variance and thereby for the standard error (SE) of partial correlation coefficients (PCC). One is considered the “correct” variance in the sense that it better reflects the variation of the sampling distribution of partial correlation coefficients. The second is used to test whether the population PCC is zero, and it reproduces the test statistics and the p‐values of the original multiple regression coefficient that PCC is meant to represent. Simulations show that the “correct” PCC variance causes random effects to be more biased than the alternative variance formula. Meta‐analyses produced by this alternative formula statistically dominate those that use “correct” SEs. Meta‐analysts should never use the “correct” formula for partial correlations' standard errors.