bluuebunny/crossref_metadata_2025_split huggingface dataset:
A conceptual framework of green supply chain integration toward enterprise performance through ambidextrous green innovation: an organizational capability perspective
Authors: Yang Guimei , Singhdong Putthiwat 
Published: March 2024

PurposeThis study explores the impact of green supply chain integration (GSCI) on enterprise performance (EP) from an organizational capability perspective. Additionally, this study investigated the mediating effect of ambidextrous green innovation (AMGI) and the moderating effect of green legitimacy (GL).Design/methodology/approachThis study followed a five-step systematic review of the literature to ensure the auditability and repeatability of the concept development process: (1) formulation of the question, (2) research area orientation, (3) selection and evaluation of research literature, (4) data analysis and synthesis and (5) reporting and application of results.FindingsThis study clarified the concepts and dimensions of four relevant variables and, based on the organizational capability theory (OCT), ambidextrous innovation theory (AIT) and new institutional theory (NIT), explained the interactions among these variables and proposed a conceptual framework. In addition, an agenda for future research has been suggested.Originality/valueThis study provides a new direction for future GSCI research and practice in emerging economies. Enterprises should focus on developing GSCI capabilities to promote its positive impact on enterprise performance through AMGI adoption. Moreover, they must emphasize the acquisition of GL, which provides a certain degree of security, to realize the benefits of AMGI.
Willingness to cooperate with police in hate crime cases: the impact of police legitimacy, police encounters and race/ethnicity
Authors: Lee Selye 
Published: March 2024

PurposeWhile the significance of public cooperation for police effectiveness is widely acknowledged, less is known about factors associated with cooperation in hate crime cases. The current study aims to explore how individuals’ perspectives on police legitimacy, contact experience with police and race/ethnicity shape their willingness to cooperate with police in hate crime incidents.Design/methodology/approachThis study used a sample of 693 college students and was conducted at a public university in the south-central region of the southern United States of America. Ordinary least squares (OLS) regression models were used to examine factors related to willingness to cooperate with police.FindingsFindings show that those who have a high level of positive perceptions of police legitimacy and those who have a low level of negative personal experience with police reported more willingness to cooperate. Asian respondents were less likely to report that they would cooperate with police compared to white respondents.Originality/valueThis study, emphasizing the relationships between perceived police legitimacy and positive personal experiences with a willingness to cooperate in hate crime cases, has practical implications. The identification of racial/ethnic differences in cooperation attitudes, particularly the lower likelihood of cooperation among Asian respondents, contributed to the current literature and underscores the importance of considering diverse perspectives and outreach efforts.
Organic compost belowground and floral diversity aboveground interactively shape beneficial insects in urban gardens
Authors: Blubaugh C. K. , Chesnut R. , Hagan K. L. 
Published: March 2024

Abstract

Plant diversity aboveground can exert top‐down pressure on herbivores by attracting predatory insects, while organic soil amendments rich in beneficial microbes can limit herbivores from the bottom‐up by enhancing plant defensive chemistry. Aboveground and belowground forces always operate simultaneously to shape herbivore pressure, but understanding how they interact is a longstanding and persistent challenge.

Here, we examine how organic composts mediate the effects of plant diversity across trophic levels, using zucchini plants (Cucurbita pepo) as a study system. Over two field seasons, we manipulated vermicompost treatments in 18 experiments in school gardens that varied in surrounding plant and floral resource diversity and measured responses of insect herbivores and their natural enemies.

Vermicompost strengthened a positive relationship between flower richness and foliar‐feeding omnivores, suggesting that robust reservoirs of omnivores at flower‐rich sites mounted stronger responses to compost‐treated host plants.

Predators increased with flower richness, but were not affected by vermicompost.

Net outcomes of vermicompost and plant diversity were neutral for herbivores.

Synthesis and applications. Altogether, our results reveal that bottom‐up factors protecting plants are modified by their environmental context, and may more effectively attract natural enemies in landscapes with diverse floral resources. Therefore, we recommend augmentation of biodiversity aboveground (i.e. floral resources) together with biodiversity belowground (organic soil amendments) to strengthen crop protection.
Systematic review of field research reveals critical shortfalls for restoration of tropical grassy biomes
Authors: Medeiros Natália F. , Ordóñez‐Parra Carlos A. , Buisson Elise , Silveira Fernando A. O. 
Published: March 2024

Abstract

Scientists and policymakers are becoming aware of the pressing need to restore tropical grassy biomes (TGB), which are home to unique biodiversity and provide essential ecosystem services to hundreds of millions of people. TGB face increasing threats, including forest‐ and tree‐centric restoration approaches that promote their degradation and we still lack a systematic assessment of where and how TGB restoration research has been done to guide policy and practice.

We synthesized knowledge on field restoration experiments by conducting a systematic literature review to map TGB restoration field studies, examine the association of restoration techniques and degradation sources and investigate the diversity of indicators used to monitor restoration outcomes.

TGB restoration was concentrated at Brazilian and Australian savannas, with large blindspots in Asia, Africa and northern and western South America. Studies were largely context‐dependent, with an inconsistent usage of restoration techniques to different sources of degradation. Less than half of the indicators evaluated were monitored consistently through time, often using a low‐dimensional approach related to ecosystem functioning. Few studies manipulated fire, herbivores and soils, the key drivers for the re‐establishment of TGB dynamics. Unfortunately, many studies lacked negative (degraded ecosystems), positive (reference ecosystems) controls, or both, impairing attempts to robustly determine restoration outcomes.

Our overview of field research on TGB restoration highlights that research needs improvement to refine our ability to assess, plan, implement and monitor restoration. Severe issues with experimental designs and data reporting are identified as barriers to find generality and upscale TGB restoration to meet the goals of the UN Decade on Ecosystem Restoration.

Synthesis and applications. Our synthesis calls for enhanced field experiments, transparent data reporting and quantitative syntheses to guide large‐scale TGB restoration. The overall lack of knowledge on improving resilience and measuring outcomes hampers meaningful comparisons between studies and hinders synthetic views essential for determining appropriate restoration techniques for different degradation sources and suitable monitoring indicators. To overcome the scarcity of reliable and transparent data supporting TGB restoration, we propose a simple checklist for minimum research reporting information and more complete multilingual standardized guidelines.
Interstage flow matrices: Population statistic derived from matrix population models
Authors: Yokomizo Hiroyuki , Fukaya Keiichi , Lambrinos John G. , Kawai Yuka , Takada Takenori 
Published: March 2024

Abstract

Many population statistics describe the characteristics of populations within and among species. These are useful for describing population dynamics, understanding how environmental factors alter demographic patterns, testing hypotheses related to the evolution of life history characteristics and informing the effective management of populations.

In this study, we propose a population statistic: the interstage flow. The interstage flow is defined as the product of the element in the ith row, the jth column of the population projection matrix and the jth element of the normalized stable stage distribution.

The sum of the interstage flow matrix elements is equal to the population growth rate (PGR), which is the dominant eigenvalue of the population projection matrix. The interstage flow matrix elements allow decomposition of PGR into component contributions made by transitions between developmental stages.

We demonstrate the utility of interstage flow matrices using matrix population models from the COMPADRE plant matrix database. We compared interstage flows among four life history/functional groups (FGs) (semelparous herbs, iteroparous herbs, shrubs and trees) and described how PGR reflected individual transitions related to stasis, fecundity and growth. We found that the individual flows are different among FGs.

Synthesis. The proposed population statistic, the interstage flow matrix, describes the contribution of individual developmental stage transitions to the PGR. The flow of individuals between developmental stages differs in distinctive ways among different life histories and FGs. The interstage flow matrix is a valuable statistic for describing these differences.
Systemic family therapists and dementia: A constructivist grounded theory study
Authors: Ball Peter Lloyd 
Published: March 2024

AbstractThis article presents research that explored the ways that systemic and family therapists might approach the support of families living with dementia. A constructivist grounded theory methodology was used to interpret interviews with four systemic family therapists working in the United Kingdom. All participants had professional and/or lived experience of dementia. Transcript analysis and theoretical sampling led to the development of five categories, each related to different aspects of considering systemic therapy in a dementia context. These categories were further developed into a ‘systemically informed dementia orienteering’ conceptual framework, which is presented in this paper as a learning resource. Findings are related to existing literature, and recommendations for future research are made.
Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA)
Authors: Chen Angela T. , Kuzma Richard S. , Friedman Ari B. 
Published: March 2024

AbstractObjectiveTo improve the performance of International Classification of Disease (ICD) code rule‐based algorithms for identifying low acuity Emergency Department (ED) visits by using machine learning methods and additional covariates.Data SourcesWe used secondary data on ED visits from the National Hospital Ambulatory Medical Survey (NHAMCS), from 2016 to 2020.Study DesignWe established baseline performance metrics with seven published algorithms consisting of International Classification of Disease, Tenth Revision codes used to identify low acuity ED visits. We then trained logistic regression, random forest, and gradient boosting (XGBoost) models to predict low acuity ED visits. Each model was trained on five different covariate sets of demographic and clinical data. Model performance was compared using a separate validation dataset. The primary performance metric was the probability that a visit identified by an algorithm as low acuity did not experience significant testing, treatment, or disposition (positive predictive value, PPV). Subgroup analyses assessed model performance across age, sex, and race/ethnicity.Data CollectionWe used 2016–2019 NHAMCS data as the training set and 2020 NHAMCS data for validation.Principal FindingsThe training and validation data consisted of 53,074 and 9542 observations, respectively. Among seven rule‐based algorithms, the highest‐performing had a PPV of 0.35 (95% CI [0.33, 0.36]). All model‐based algorithms outperformed existing algorithms, with the least effective—random forest using only age and sex—improving PPV by 26% (up to 0.44; 95% CI [0.40, 0.48]). Logistic regression and XGBoost trained on all variables improved PPV by 83% (to 0.64; 95% CI [0.62, 0.66]). Multivariable models also demonstrated higher PPV across all three demographic subgroups.ConclusionsMachine learning models substantially outperform existing algorithms based on ICD codes in predicting low acuity ED visits. Variations in model performance across demographic groups highlight the need for further research to ensure their applicability and fairness across diverse populations.
How natural resources and technological advancements affect environmental quality: Evidence from load capacity factor in N‐11 nations
Authors: Guo Yaping , Alnafrah Ibrahim , Hou Xinmeng , A. Almenweer Reem , Mehmood Usman 
Published: March 2024

AbstractThe pressing issues of global climate change and environmental degradation necessitate the development of novel sustainable growth models by humanity. The efficacy of growth policy is strongly contingent upon the fundamental principles of productivity, such as efficient resource management. This study contributes to the investigation of the influence of natural resources (NRs) and several indices measuring productive capacity index (CI) on the environment of developing N‐11 countries (Bangladesh, Egypt, Indonesia, Iran, Mexico, Nigeria, the Philippines, South Korea, Pakistan, Turkey, and Vietnam) during 2000–2022. The research employed the cross‐sectional Autoregressive Distributed Lag (CS‐ARDL) model to examine the relationship between the variables. The empirical evidence indicates that there is a positive relationship between CI, technical innovation (TEC), NR, and gross domestic product (GDP) with the load capacity factor (LCF). Evidently, the sub‐indicators of CI present diverse results. The enhancement of productive CI in human capital, information, and communication technology (ICT), structural change, and governance has been found to foster ecological sustainability. Conversely, the domains of transport, private sector development, and energy utilization have been observed to contribute to the reduction of environmental pollution. This study posits that enhancing operational efficiencies and productive CI is associated with improved ecological outcomes.
Subcellular structure, heterogeneity, and plasticity of senescent cells
Authors: Bitencourt Thais Cardoso , Vargas Jose Eduardo , Silva Andrew Oliveira , Fraga Lucas Rosa , Filippi‐Chiela Eduardo 
Published: March 2024

AbstractCellular senescence is a state of permanent growth arrest. It can be triggered by telomere shortening (replicative senescence) or prematurely induced by stresses such as DNA damage, oncogene overactivation, loss of tumor suppressor genes, oxidative stress, tissue factors, and others. Advances in techniques and experimental designs have provided new evidence about the biology of senescent cells (SnCs) and their importance in human health and disease. This review aims to describe the main aspects of SnCs phenotype focusing on alterations in subcellular compartments like plasma membrane, cytoskeleton, organelles, and nuclei. We also discuss the heterogeneity, dynamics, and plasticity of SnCs' phenotype, including the SASP, and pro‐survival mechanisms. We advance on the multiple layers of phenotypic heterogeneity of SnCs, such as the heterogeneity between inducers, tissues and within a population of SnCs, discussing the relevance of these aspects to human health and disease. We also raise the main challenges as well alternatives to overcome them. Ultimately, we present open questions and perspectives in understanding the phenotype of SnCs from the perspective of basic and applied questions.
Network meta‐analysis of the molecular mechanisms and signaling pathways underlying alcohol‐induced thymic atrophy
Authors: Rengifo Tatiana , Bishir Muhammed , Huang Wenfei , Snyder Marylynn , Chang Sulie L. 
Published: March 2024

AbstractBackgroundThymic atrophy is characterized by loss of thymocytes, destruction of thymic architecture, and a subsequent decrease in naïve T cells with compromised immunity. Thymic atrophy occurs during aging. Environmental factors including alcohol misuse also induce thymic atrophy. Despite the link between alcohol misuse and thymic atrophy, the underlying mechanism is understudied. We aimed to identify molecules and signaling pathways that underly alcohol‐induced thymic atrophy during aging.MethodsF344 rats were given 3‐day binge‐ethanol (4.8 g/kg/day; 52% w/v; i.g.) and the thymus was collected and weighed. Molecular mechanisms underlying ethanol‐induced thymic atrophy were investigated by network meta‐analysis using the QIAGEN Ingenuity Pathway Analysis (IPA). The molecules associated with ethanol were identified from the QIAGEN Knowledge Base (QKB) and those associated with thymic atrophy were identified from QKB and Mouse Genome Informatics (MGI). Aging‐mediated Differential Expression Genes (DEGs) from mouse thymocytes were obtained from the Gene Expression Omnibus (GEO) database (GSE132136). The relationship between the molecules and associated signaling pathways were studied using IPA.ResultsBinge‐ethanol decreased thymic weight in F344 rats. Our meta‐analysis using IPA identified molecules commonly shared by ethanol and thymic atrophy through which simulation with ethanol increased thymic atrophy. We then obtained aging‐mediated DEGs from the atrophied thymocytes. We found that ethanol contributed to thymic atrophy through modulation of the aging‐mediated DEGs. Our network meta‐analysis suggests that ethanol may augment thymic atrophy through increased expression of cytokines (e.g., IL‐6, IL‐17A and IL‐33) along with their regulators (e.g., STAT1 and STAT3).ConclusionsExposure to alcohol may augment thymic atrophy by altering the activity of key inflammatory mediators, such as STAT family members and inflammatory cytokines. These findings provide insights into the signaling pathways and upstream regulators that underly alcohol‐induced thymic atrophy during aging, suggesting that alcohol consumption could prepone thymic atrophy.
Application of Laennec extrathecal blockade combined with indocyanine green fluorescence imaging in laparoscopic anatomic hepatectomy
Authors: Yang Yong , Yu Chong‐yuan , Lin Fang , Sun Dong‐lin , Wu Ke‐jia , Cai Hui‐hua , Shi Long‐qing , Zhu Qiang 
Published: March 2024

AbstractObjectiveTo investigate the safety and application value of combining Laennec extracapsular occlusion with ICG fluorescence imaging in laparoscopic anatomic hepatectomy.MethodsComplete laparoscopic dissection was performed outside the Laennec sheath, blocking Glisson's pedicle of the corresponding liver segment or lobe. An appropriate amount of indocyanine green (ICG) dye was intravenously injected, and the boundary line between the pre‐cut liver segment and liver lobe was identified using fluorescence laparoscopy. Complete resection of the liver segment or lobe was performed based on anatomical markers. Clinical data, including operation time, intraoperative blood loss, postoperative hospital stay, and postoperative complications, were collected.ResultsA total of 14 cases were included in the study, including seven cases of primary liver cancer, three cases of metastatic liver cancer, three cases of intrahepatic bile duct calculi, and one case of hepatic hemangioma. All 14 patients underwent anatomic hepatectomy under fluorescent laparoscopy, with four cases involving the right liver, seven cases involving the left liver, two cases involving the right anterior lobe, and one case involving the right posterior lobe.ConclusionCombining laparoscopic follow‐up of the Laennec membrane with Glisson outer sheath block and intraoperative ICG fluorescence imaging provides real‐time guidance for locating the resection boundaries during anatomic hepatectomy. This approach helps in controlling intraoperative bleeding, reducing operation time, and ensuring high safety. It holds significant value in clinical application.
First worldwide report on rectal resections with Hugo™ surgical system: description of docking angles and tips for an effective setup
Authors: Caputo Damiano , Cammarata Roberto , Farolfi Tommaso , Coppola Roberto , La Vaccara Vincenzo 
Published: March 2024

AbstractBackgroundsRectal robotic surgery gained momentum in the last decade, but it is still associated with not‐negligible costs. In order to reduce costs, recently different robotic systems have received approval for clinical use. This study aims to present the first case series of rectal resection with the novel cost‐effective platform Robotic Assisted Surgery (RAS) Hugo™. Tips for effective set up of the system and detailed configuration of tilt and docking angles are also provided.MethodsThree cases of rectal resection with Hugo RAS™ system are reported. After the first two cases of resection with partial mesorectal excision in which surgeries were performed with the setup proposed by the vendor company, in the third case we tested a novel setup that allowed a full robotic low rectal resection performing vascular ligations, TME and colonic splenic flexure mobilization without the need of any de‐docking.ResultsOur first three robotic rectal resections with the Hugo RAS™ system were completed without complications with a median docking time of 12 min (range 8–15) and a median console time of 345 minutes (range 271–475). In the first two cases, hybrid robotic and laparoscopic surgeries were performed to obtain an adequate haemostasis and traction during the pelvic phase. In the third case, a full robotic TME was successfully accomplished.ConclusionOur experience demonstrates that a full robotic low rectal resection with TME with Hugo™ RAS system is feasible, safe and associated with satisfactory postoperative outcomes.