bluuebunny/crossref_metadata_2025_split huggingface dataset:
Achieving sustainable development with sustainable packaging: A natural‐resource‐based view perspective
Authors: Lau Cherry C. I. , Wong Christina W. Y. 
Published: March 2024

AbstractSustainable packaging is a pivotal aspect of sustainable development, involving multi‐faceted issues such as stakeholder management and environmental policy compliance. Despite the efforts to find packaging solutions, the extant literature is largely fragmented, featuring a high level of heterogeneity among studies that spread across different disciplines, with the majority examining important packaging issues in isolation. A study that systematically consolidates findings of different important areas of sustainable packaging implementation is lacking. This challenges companies' adoption of research findings in business strategy development. Thus, this paper conducts a systematic literature review combining keyword co‐occurrence analysis, thematic analysis and qualitative content analysis to uncover major research domains, consolidate important findings and reveal unsolved research gaps, which are crucial to advancing sustainable packaging management. The findings reveal four major research domains: (1) sustainable packaging materials and properties, (2) management practices of sustainable packaging, (3) consumer behaviours towards sustainable packaging and (4) packaging waste management. Drawing on the natural‐resource‐based view (NRBV) theory and the review findings, this study proposes four future research directions: (1) identifying ways to enhance the commercialisation of sustainable packaging technological innovations, (2) uncovering reasons for insufficient social aspect investigation in sustainable packaging research, (3) exploring strategies to enhance stakeholder integration in sustainable packaging management and (4) examining contingency factors of packaging waste management effectiveness. The research agenda is important to provide practical and managerial insights for business strategy development in sustainable packaging to achieve pollution prevention, product stewardship and sustainable development capabilities to gain future growth and competitive advantage.
Chemical Constituents of Ajuga Lupulina and their Anti‐Ferroptosis Activity
Authors: Teng Xifeng , Shi Huiwen , Cao Liudan , Peng Xing , He Lin , Gu Qiong 
Published: March 2024

AbstractFive new compounds (1, 2, 7, 12, and 16), along with fifteen known ones, were isolated from Ajuga lupulina Maxim. Their structures were revealed by analysing spectroscopic data (MS, NMR), and experimental and calculated ECD spectra was used to deduce the absolute configuration. Compound 16, with eight carbon atoms, was firstly isolated from the nature. All the isolates were evaluated for their inhibitory effect on RSL3‐induced ferroptosis in HT22 mouse hippocampal neuronal cells. Among them, the abietane‐type diterpenoids (7–11) significantly inhibited ferroptosis with EC50 values of 0.83 μM, 2.05 μM, 0.96 μM, 1.47 μM, and 1.19 μM, respectively.
Follistatin‐like 1 protects against doxorubicin‐induced cardiotoxicity by preventing mitochondrial dysfunction through the SIRT6/Nrf2 signaling pathway
Authors: Xu Haijun , Guo Hong , Tang Zhigang , Hao Ruijun , Wang Shaowei , Jin Ping 
Published: March 2024

AbstractMitochondrial dysfunction and myocardial remodeling have been reported to be the main underlying molecular mechanisms of doxorubicin‐induced cardiotoxicity. SIRT6 is a nicotinamide adenine dinucleotide‐dependent enzyme that plays a vital role in cardiac protection against various stresses. Moreover, previous studies have demonstrated that FSTL1 could alleviate doxorubicin‐induced cardiotoxicity by inhibiting autophagy. The present study investigated the probable mechanisms of FSTL1 on doxorubicin‐induced cardiotoxicity in vivo and in vitro. We confirmed that FSTL1 exerted a pivotal protective role on cardiac tissue in vivo and on doxorubicin‐induced cell injury in vitro. Furthermore, FSTL1 can alleviate doxorubicin‐induced mitochondrial dysfunction by inhibiting autophagy and apoptosis. Further studies demonstrated that FSTL1 can activate SIRT6 signaling by restoring the SIRT6 protein expression in doxorubicin‐induced myocardial injury. SIRT6 activation elevated the protein expression of Nrf2 in doxorubicin‐induced H9C2 injury. Treatment with the Nrf2 inhibitor ML385 partially antagonized the cardioprotective role of SIRT6 on doxorubicin‐induced autophagy or apoptosis. These results suggested that the protective mechanism of FSTL1 on doxorubicin‐induced cardiotoxicity may be related with the inhibition of autophagy and apoptosis, partly through the activation of SIRT6/Nrf2.
Process Intensification by Inoculating Antibody Production Bioreactors Directly from Cryovials
Authors: Ott Jan , Ott Vivian , Neubauer Peter , Eibl Dieter , Eibl Regine 
Published: March 2024

AbstractThere are several ways to make antibody production processes more efficient and less expensive through process intensification. In this study, an ultra‐high cell density working cell bank was used to inoculate production bioreactors directly with cells from cryovials. After lab‐scale experiments, a fed‐batch pilot‐scale experiment was successfully conducted as a proof‐of‐concept. In addition, cells were cultivated in perfusion mode at 2 L scale. The intensification approach presented here allows the complete elimination of the inoculum production outside the production bioreactor and the creation of additional production capacity by saving time and space. In perfusion mode, an increase in bioreactor productivity of over 180% can be achieved compared to fed‐batch mode.
The ability of the LIMD1 and TRIP6 LIM domains to bind strained f‐actin is critical for their tension dependent localization to adherens junctions and association with the Hippo pathway kinase LATS1
Authors: Ray Samriddha , DeSilva Chamika , Dasgupta Ishani , Mana‐Capelli Sebastian , Cruz‐Calderon Natasha , McCollum Dannel 
Published: March 2024

AbstractA key step in regulation of Hippo pathway signaling in response to mechanical tension is recruitment of the LIM domain proteins TRIP6 and LIMD1 to adherens junctions. Mechanical tension also triggers TRIP6 and LIMD1 to bind and inhibit the Hippo pathway kinase LATS1. How TRIP6 and LIMD1 are recruited to adherens junctions in response to tension is not clear, but previous studies suggested that they could be regulated by the known mechanosensory proteins α‐catenin and vinculin at adherens junctions. We found that the three LIM domains of TRIP6 and LIMD1 are necessary and sufficient for tension‐dependent localization to adherens junctions. The LIM domains of TRIP6, LIMD1, and certain other LIM domain proteins have been shown to bind to actin networks under strain/tension. Consistent with this, we show that TRIP6 and LIMD1 colocalize with the ends of actin fibers at adherens junctions. Point mutations in a key conserved residue in each LIM domain that are predicted to impair binding to f‐actin under strain inhibits TRIP6 and LIMD1 localization to adherens junctions and their ability to bind to and recruit LATS1 to adherens junctions. Together these results show that the ability of TRIP6 and LIMD1 to bind to strained actin underlies their ability to localize to adherens junctions and regulate LATS1 in response to mechanical tension.
Core‐shell Ni/NiO heterostructures as catalytic cathodes enabling high‐performance zinc bromine flow batteries
Authors: Li Longwei , Li Rongrong , Zhou Shaojie , Xu Wenjun , Li Yu , Zhang Jingmin , Gao Lei , Pu Xiong 
Published: March 2024

AbstractZinc bromine flow batteries (ZBFBs) are well suited for stationary energy storage due to their attractive features of high energy density and low cost. Nevertheless, the ZBFBs suffer from low power density and limited efficiency owing to the relatively severe polarization of the Br2/Br− redox couple. Herein, a three‐dimensional (3D) hierarchical composite electrode based on core‐shell Ni/NiO heterostructures anchored on graphite felt (Ni/NiO@GF) is designed to promote the kinetics of the Br2/Br− couple, so as to improve the power density and efficiency of the ZBFB. In this design, the highly conductive carbon felt and Ni cores provide a composite electrode with a 3D electron transporting framework to guarantee excellent electronic conductivity, while the NiO shells possess great absorption ability to Br2 and brilliant catalytic activity for the Br2/Br− redox reaction to reduce the electrochemical polarization. As a result, an enhanced ZBFB with Ni/NiO@GF electrode shows an outstanding energy efficiency of 86% at 20 mA cm−2 and can be operated at a current density of up to 160 mA cm−2 with a respectable energy efficiency of 67%. These results exhibit a promising strategy to fabricate catalytic electrodes for high‐performance ZBFBs.
Commutation torque ripple suppression method for brushless DC motors with minimum phase shift angle
Authors: Sun Liwei , Li Yong , Zhao Jicheng , Mi Changwei 
Published: March 2024

SummaryCommutation torque ripple occurs when brushless DC (BLDC) motor runs in the high‐speed range, which degrades operation performance. To overcome the problem, this paper presents a commutation torque ripple suppression method based on the minimum phase shift angle (MPSA) of hall signals. In the paper, the effect of the phase shift angle (PSA) of hall signals on phase current is analyzed, and the MPSA is deduced on the basis of the unit duty cycle of the incoming and non‐commutation phase. With the proposed method, two‐phase conduction mode is used in the full speed range, commutation period and non‐commutation period, which avoids switching modulation mode and enhances system reliability. The proposed method is implemented through shifting hall signals by the MPSA, and it is simple and feasible without the requirement to redesign a controller. Moreover, no additional power devices and precise sensors are required, which reduces design cost and volume size. The proposed method is experimentally compared with different methods under steady operation condition, and the results show superior performance on suppressing commutation torque ripple. The loading experiment demonstrates that the proposed method exhibits good dynamic response. The frequency spectrum of the electromagnetic torque is analyzed, and it is verified that the 6nf harmonics are diminished with the proposed method.
Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm
Authors: Tan Xuyan , Chen Weizhong , Wang Luyu , Ye Wei 
Published: March 2024

AbstractMonitoring of the mechanical behavior of underwater shield tunnels is vital for ensuring their long‐term structural stability. Typically determined by empirical or semi‐empirical methods, the limited number of monitoring points and coarse monitoring schemes pose huge challenges in terms of capturing the complete mechanical state of the entire structure. Therefore, with the aim of optimizing the monitoring scheme, this study introduces a spatial deduction model for the stress distribution of the overall structure using a machine learning algorithm. Initially, clustering experiments were performed on a numerical data set to determine the typical positions of structural mechanical responses. Subsequently, supervised learning methods were applied to derive the data information across the entire surface by using the data from these typical positions, which allows flexibility in the number and combinations of these points. According to the evaluation results of the model under various conditions, the optimized number of monitoring points and their locations are determined. Experimental findings suggest that an excessive number of monitoring points results in information redundancy, thus diminishing the deduction capability. The primary positions for monitoring points are determined as the spandrel and hance of the tunnel structure, with the arch crown and inch arch serving as additional positions to enhance the monitoring network. Compared with common methods, the proposed model shows significantly improved characterization abilities, establishing its reliability for optimizing the monitoring scheme.
Conservation genetics of the white‐bellied pangolin in West Africa: A story of lineage admixture, declining demography, and wide sourcing by urban bushmeat markets
Authors: Gossé Koffi Jules , Gonedelé‐Bi Sery , Dufour Sylvain , Danquah Emmanuel , Gaubert Philippe 
Published: March 2024

AbstractDuring the last 40 years, the volumes of African pangolins feeding the illegal wildlife trade have dramatically increased. We conducted a conservation genetics survey of the most traded African species, the white bellied pangolin (WBP; Phataginus tricuspis), across three West African countries including Guinea, Côte d'Ivoire, and Ghana. Our study combining mitochondrial DNA sequencing and microsatellite genotyping is the first to reveal a wide pattern of admixture between two of the six mitochondrial lineages as previously delimited within WBP. We found a signature of isolation by distance but a lack of population genetic structuring, supporting the idea that WBP may have underestimated dispersal abilities. Levels of genetic diversity were low in West African lineages (WAfr and Gha) compared to Central Africa, reinforcing the picture of genetic pauperization shared by West African WBP. We observed a 85%–98% decline in the effective population size of WBP occurring c. 3200 to 400 ya, with current numbers (520–590) at the lower end of the conservative thresholds for minimum viable population size. The microsatellite markers were powerful enough to differentiate between individuals and identify replicated samples, confirming the utility of this approach in tracing the pangolin trade. Genetic diversity estimates confirmed that Yopougon, the main bushmeat market from Abidjan (Côte d'Ivoire), was fed by a large trade network as confirmed by vendors reporting 10 different sources situated 62–459 km away from the market. We conclude that WBP distributed in the Upper Guinean Block should be considered a single management unit of high conservation concern, as impacted by genetic diversity erosion, drastic decline in effective population size, and wide range sourcing for feeding urban bushmeat markets. Given the genetic admixture pattern detected within WBP from West Africa, we advocate for a multi‐locus strategy to trace the international trade of the species.
Comparison of four performance models in quantifying the inequality of leaf and fruit size distribution
Authors: Wang Lin , He Ke , Hui Cang , Ratkowsky David A. , Yao Weihao , Lian Meng , Wang Jinfeng , Shi Peijian 
Published: March 2024

AbstractThe inequality in leaf and fruit size distribution per plant can be quantified using the Gini index, which is linked to the Lorenz curve depicting the cumulative proportion of leaf (or fruit) size against the cumulative proportion of the number of leaves (or fruits). Prior researches have predominantly employed empirical models—specifically the original performance equation (PE‐1) and its generalized counterpart (GPE‐1)—to fit rotated and right‐shifted Lorenz curves. Notably, another potential performance equation (PE‐2), capable of generating similar curves to PE‐1, has been overlooked and not systematically compared with PE‐1 and GPE‐1. Furthermore, PE‐2 has been extended into a generalized version (GPE‐2). In the present study, we conducted a comparative analysis of these four performance equations, evaluating their applicability in describing Lorenz curves related to plant organ (leaf and fruit) size. Leaf area was measured on 240 culms of dwarf bamboo (Shibataea chinensis Nakai), and fruit volume was measured on 31 field muskmelon plants (Cucumis melo L. var. agrestis Naud.). Across both datasets, the root‐mean‐square errors of all four performance models were consistently smaller than 0.05. Paired t‐tests indicated that GPE‐1 exhibited the lowest root‐mean‐square error and Akaike information criterion value among the four performance equations. However, PE‐2 gave the best close‐to‐linear behavior based on relative curvature measures. This study presents a valuable tool for assessing the inequality of plant organ size distribution.
Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches
Authors: Kushwaha Pawan Kumar , Bhattacharjee Chayan 
Published: March 2024

AbstractElectricity supply reliability in an electricity distribution network is majorly affected due to unexpected power failures and power cuts. A hybrid renewable energy system (HRES) with the optimal size of renewable energy sources can substantially improve power reliability. Therefore, this article develops an objective function incorporating socio‐techno‐economic‐environmental (STEE) factors for HRES optimal sizing to supply reliable power to a rural village. The factors considered in the objective function are namely social (employment generation factor, human progress index, and land cost), technical (excess energy factor, renewable energy portion, and loss of power supply probability), economical (total net present cost, cost of energy, and annualized cost of system), and environmental (emission cost). In this article, for the first time, marine predators algorithm (MPA) based metaheuristic optimizer is devised to address the sizing optimization problem of HRES. Three HRES configurations, having different arrangements of diesel generator (DG), biogas generator (BG), battery (BAT), wind turbine (WT), and photovoltaic (PV), are examined utilizing MPA, particle swarm optimization (PSO), salp swarm algorithm (SSA), and genetic algorithm (GA) for optimal configuration. Due to the lowest value of economical and environmental factors and the highest value of the social factor, the PV‐WT‐BAT‐BG‐DG configuration is optimal compared to other investigated configurations with MPA. Comparing the four optimizers, MPA has the best STEE factor values, as well as stronger convergence, greater ability to escape from local minima, and higher ability to approach the global optimum. Additionally, by contrasting it with the PSO result for the three HRES configurations, the MPA result quality is confirmed. Furthermore, the cost of energy (0.1799 $/kWh) of the optimal configuration is less than the latest addressed in the literature.
Experimental and analytical studies of infill wall with sliding joints considering a door opening
Authors: Huang Weiyuan , Niu Xiaonan , Zhang Chao , Ling Bin , Wu Siyuan , Deng Xuesong , Liang Zhicheng 
Published: March 2024

AbstractSemi‐rigid steel frame stands out due to its remarkable deformation capability under seismic loading, while the introduction of partitioned walls would disturb the expected seismic behavior of the infilled steel frames. Furthermore, the presence of door openings might exacerbate these negative effects. To mitigate the detrimental multiple‐diagonal strut effect of traditional infill walls around the door opening, an innovative low‐damage wall panels system: prefabricated infill wall panels with a door opening and sliding joints are presented for semi‐rigid steel frames. For testifying the effectiveness of the proposed structure, a quasi‐static test was carried out on three half‐scaled steel frames: a bare frame, a frame infilled with conventional wall panels with a door opening, and a frame infilled with the novel wall panel system with a door opening. Experimental results reveal that the developed innovative wall panels with a door opening could avoid unfavorable crack developments and opening deformation around the door area. It is mainly attributed to the releasement of the adverse multiple‐diagonal strut mechanism of traditional wall panels with door openings. Thus, the presented infilled frame showcases seismic performance similar to the bare steel frame, while having a higher energy dissipation capacity. Moreover, the developed analytical prediction method based on the superposition principle could accurately estimate the lateral load‐carrying capacity of the structures. Due to negligible deformation of the both bottom infill wall panel and the door opening, the innovative infill wall only contributes about 10% lateral load‐carrying capability to the infilled frame.
The effect of combat deployments on veteran opioid abuse
Authors: Cesur Resul , Sabia Joseph J. , Bradford W. David 
Published: March 2024

AbstractGrim national statistics about the U.S. opioid crisis are increasingly well known to the American public. Far less well known is that U.S. servicemembers are at ground zero of the epidemic, with veterans facing an overdose death rate of up to twice that of civilians. Exploiting a quasi‐experiment in overseas deployment assignment, this study estimates the causal impact of combat exposure among the deployed in the Global War on Terrorism on opioid abuse. We find that exposure to war theater substantially increased the risk of prescription painkiller abuse and illicit heroin use among active duty servicemen. The magnitudes of our estimates imply lower‐bound combat exposure‐induced healthcare costs of $1.04 billion per year for prescription painkiller abuse and $470 million per year for heroin use.
Economywide impacts of the Supplemental Nutrition Assistance Program
Authors: Osanya Jessica , Reimer Jeffrey J. 
Published: March 2024

AbstractMost Supplemental Nutrition Assistance Program (SNAP) research focuses on individuals who receive SNAP without examining the effects on the broader economy. We develop a general equilibrium model of the US economy to quantify SNAP's broader fiscal consequences. We find that SNAP expands the agricultural and food sectors by about 1% while slightly shrinking service sectors favored by higher income households. Effects on goods and factor prices are modest, with virtually no deadweight losses associated with the taxation needed to fund SNAP. SNAP improves the welfare of low‐income recipient households by 4.9%, while having a negligible adverse effect on high‐income households.
Reflection and projection: Inclusive and diverse texts in the English Language Arts curriculum
Authors: Stephens Kimberly R. , Allee Karyn A. , Luther Vicki L. 
Published: March 2024

AbstractEngaging students in the reading process is challenging when they are unable to connect to texts. It is important to provide inclusive and diverse texts (IDTs) in the language arts curriculum. To promote a positive reading experience, all students need to read IDTs with non‐stereotypical depictions of girls, women, people of Color, and more. This is challenging when obstacles such as limited resources, a lack of teacher preparation to meet challenges, and stakeholder opposition to “non‐traditional” literature may hinder educators' efforts to include IDTs. Using effective instructional strategies, increasing home and school literacy connections, and providing focused teacher training can help overcome these obstacles. Literary texts that reflect multiple identities will promote a more equitable representation of all students within the classroom community. This paper discusses possible strategies and approaches for including and engaging with IDTs and resources educators can use to address instructional challenges and find high‐quality texts.
Cadmium neurotoxicity and therapeutic strategies
Authors: Wen Shuangquan , Wang Liang 
Published: March 2024

AbstractCadmium (Cd) is a multitarget, carcinogenic, nonessential environmental pollutant. Due to its toxic effects at very low concentrations, lengthy biological half‐life, and low excretion rate, exposure to Cd carries a concern. Prolonged exposure to Cd causes severe injury to the nervous system of both humans and animals. Nevertheless, the precise mechanisms responsible for the neurotoxic effects of Cd have yet to be fully elucidated. The accurate chemical mechanism potentially entails the destruction of metal‐ion homeostasis, inducing oxidative stress, apoptosis, and autophagy. Here we review the evidence of the neurotoxic effects of Cd and corresponding strategies to protect against Cd‐induced central nervous system injury.