bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hepatocyte growth factor facilitates the repair of spinal cord injuries by driving the chemotactic migration of mesenchymal stem cells through the β-catenin/TCF4/Nedd9 signaling pathway
Authors: Hu Ya’nan , Chen Huanhuan , Yang Min , Xu Jianwei , Liu Jinming , He Qisheng , Xu Xiaojing , Ji Zhongqing , Yang Ying , Yan Mengwen , Zhang Huanxiang 
Published: September 2024

Abstract
Transplanted mesenchymal stem cells (MSCs) can significantly aid in repairing spinal cord injuries (SCIs) by migrating to and settling at the injury site. However, this process is typically inefficient, as only a small fraction of MSCs successfully reach the target lesion area. During SCI, the increased expression and secretion of hepatocyte growth factor (HGF) act as a chemoattractant that guides MSC migration. Nonetheless, the precise mechanisms by which HGF influences MSC migration are not fully understood. This study focused on unraveling the molecular pathways that drive MSC migration toward the SCI site in response to HGF. It was found that HGF can activate β-catenin signaling in MSCs by either phosphorylating LRP6, suppressing GSK3β phosphorylation through the AKT and ERK1/2 pathways, or enhancing the expression and nuclear translocation of TCF4. This activation leads to elevated Nedd9 expression, which promotes focal adhesion formation and F-actin polymerization, facilitating chemotactic migration. Transplanting MSCs during peak HGF expression in injured tissues substantially improves nerve regeneration, reduces scarring, and enhances hind limb mobility. Additionally, prolonging HGF release can further boost MSC migration and engraftment, thereby amplifying regenerative outcomes. However, inhibiting HGF/Met or interfering with β-catenin or Nedd9 signaling significantly impairs MSC engraftment, obstructing tissue repair and functional recovery. Together, these findings provide a theoretical basis and practical strategy for MSC transplantation therapy in SCI, highlighting the specific molecular mechanisms by which HGF regulates β-catenin signaling in MSCs, ultimately triggering their chemotactic migration.
Effects of monensin and a blend of magnesium oxide on performance, feeding behavior, and rumen morphometrics of Zebu beef cattle fed high-starch diets
Authors: Bethancourt-Garcia Javier A , Ladeira Marcio M , Nascimento Karolina B , Ramírez-Zamudio Germán D , Meneses Javier A Moreno , Galvão Matheus C , Bernardes Thiago F , Gionbelli Mateus P 
Published: September 2024

Abstract
This study aimed to evaluate the effects of a blend of different sources of magnesium oxide associated or not with monensin, on productive, ruminal, and nutritional parameters of steers. Eighty-four Nellore steers with an initial body weight (BW) of 367.3 ± 37.9 kg were allocated to one of 28 pens, with three steers per pen. Each pen was considered an experimental unit. Using a completely randomized design with a 2 × 2 factorial arrangement, the following treatments were assigned to each pen: 1) Control (CON)—a basal diet without additive inclusion; 2) Magnesium oxide blend (MG)—basal diet plus a magnesium-based product (pHix-up, Timab Magnesium, Dinard, France) provided at 0.50% of dry matter (DM); 3) Monensin (MON)—basal diet plus 25 mg/ kg of DM of sodium monensin (Rumensin, Elanco Animal Health, Greenfield, IN); and 4) MG association with MON—basal diet plus MG + MON, at the same doses of the individual treatments. The experimental period lasted 100 d. Blood samples were collected on days 0, 13, and 70 to determine d-lactate levels. Daily feed intake was recorded, and animal ingestive behavior was visually observed on days 66 and 67. On day 70, skeletal muscle tissue samples were obtained through biopsy for gene expression analysis. At the end of the experimental period, carcass ultrasonography was conducted. Subsequently, the steers were slaughtered, and rumen epithelium samples were collected for morphometric analysis. The use of monensin, of magnesium oxide blend, and their interactions, were treated as fixed effects, while the pens were considered as a random effect. Statistical differences were considered when P &lt; 0.05. Steers-fed MG-containing diets consumed approximately 0.6 kg more DM per day than those fed diets without this additive (P = 0.01; 11.3 vs. 11.9 kg/d). The inclusion of MG in the diet increased (P = 0.02) the average daily gain. There was a greater Longissimus muscle area (LMA) and LMA per 100 kg of BW (P ≤ 0.03) for steers-fed diets with MG. Steers-fed MON exhibited reduced mRNA expression of the Atrogin-1 and mTOR compared to steers-fed MG + MON diets (MON × MG: P ≤ 0.04). Steers-fed MON had 6.9% greater feed efficiency (P = 0.02). Papillae width was lesser for CON than other treatments (MON × MG: P = 0.02). In conclusion, the magnesium oxide blend improved performance and carcass traits in high-energy feedlot diets, while monensin enhanced feed efficiency, suggesting potential for their use as alternatives or complements in beef cattle nutrition.
Pharmacokinetic analysis of nicotine and its metabolites (cotinine and trans-3′-hydroxycotinine) in male Sprague-Dawley rats following nose-only inhalation, oral gavage, and intravenous infusion of nicotine
Authors: Tang Yunan , Bryant Matthew S , Li Miao , Min Seonggi , Pellar Gregory , Wu Qiangen , Yang Dong-Jin , Kang Hyun-Ki , Sepehr Estatira , He Xiaobo , McLellen Florence , Lewis Sherry M , Greenhaw James , Fisher Jeffrey , Yang Xiaoxia , Chemerynski Susan , Yee Steven B , Rosenfeldt Hans , Yeager R Philip , Howard Paul C , Hu Shu-Chieh , Roqué Pamela , Goel Reema , Kc Prabha , Yi Jinghai 
Published: September 2024

Abstract
Nicotine is an alkaloid found in tobacco. Human exposure to nicotine primarily occurs through the use of tobacco products. To date, limited nicotine pharmacokinetic data in animals have been reported. This study exposed male Sprague-Dawley rats to vehicle (and/or air) or 4 doses of nicotine via nose-only inhalation (INH), oral gavage (PO), and intravenous (IV) infusion. Plasma, 6 tissues (brain, heart, lung, liver, kidney, and muscle), and urine were collected at multiple timepoints from 5 min to 48 h post-dose. The concentrations of nicotine, cotinine, and trans-3′-hydroxycotinine (3-OH-cotinine) were determined, and the pharmacokinetic profiles were compared among the 4 doses for each route. The results indicated that after single nicotine dose, nicotine bioavailability was 53% via PO. Across all the administration routes and doses, nicotine was quickly distributed to all 6 tissues; kidney had the highest nicotine and cotinine levels, and the lung had the highest 3-OH-cotinine levels; nicotine was metabolized extensively to cotinine and cotinine was metabolized to a lesser extent to 3-OH-cotinine; the elimination of plasma nicotine, cotinine, and 3-OH-cotinine followed first-order kinetics; plasma nicotine had a shorter half-life than cotinine or 3-OH-cotinine; the half-lives of plasma nicotine, cotinine, and 3-OH-cotinine were dose- and route-independent; and nicotine and cotinine were major urinary excretions followed by 3-OH-cotinine. Nicotine, cotinine, and 3-OH-cotinine levels in plasma, tissues, and urine exhibited dose-dependent increases. These study findings improve our understanding of the pharmacokinetics of nicotine, cotinine, and 3-OH-cotinine across different routes of exposure.
Evolutionary characterization of the establishment of H6 influenza viruses in domestic geese in China: implications for the position of the host in the ecosystem
Authors: Peng Liuxia , Jin Ziying , Chen Peiwen , Zhang Zengfeng , Fan Xiaohui , Hong Wenshan , Liu Yongmei , Smith David K , Cheung William Yiu-Man , Wang Jia , Zhu Huachen , Lam Tommy Tsan-Yuk , Guan Yi 
Published: September 2024

Abstract
Geese, both wild and domestic, are generally considered part of the natural reservoir for influenza A viruses. The highly pathogenic H5 Goose/Guangdong avian influenza virus lineage that is still causing outbreaks worldwide was first detected in domestic geese in 1996. However, while wild geese might have a somewhat restricted role in the influenza ecosystem, the role of domestic geese is little studied. Here, 109 H6 viruses isolated from domestic geese during 2001–2018 in southern China had their phylogeny, evolutionary dynamics, and molecular signatures characterized to examine the role of domestic geese. Our findings demonstrated that all geese H6 viruses were derived from H6 viruses established in ducks and that they subsequently formed three distinct hemagglutinin lineages. Rapid evolution of the hemagglutinin genes was not detected after the duck-to-goose transmissions of H6 viruses that then circulated in geese. Despite long-term persistence in geese, H6 viruses were rarely observed to transmit back to ducks or terrestrial poultry and never exchanged genes with viruses from other subtypes. Most geese H6 viruses maintained the primary molecular signatures of their duck precursors. This study raises the possibility that, rather than being part of the natural reservoir, domestic geese might be more like an aberrant host species for influenza A viruses, and perhaps a “dead-end” host.
Protracted Febrile Myalgia Syndrome: A Rare and Difficult Manifestation of Familial Mediterranean Fever
Authors: Tunce Eray , Ulu Kadir , Taşar Sevinç , Sözeri Betül 
Published: September 2024

Objective
Protracted febrile myalgia syndrome (PFMS) is characterized by severe myalgia, fever, abdominal pain, and arthralgia/arthritis episodes lasting for several weeks in patients with familial Mediterranean fever. Treatment options include nonsteroidal anti-inflammatory drugs, corticosteroids, and anti–interleukin-1 therapy. This study aimed to share our experiences of PFMS so as to shed light on this rare and elusive condition.

Methods
This cross-sectional analysis included 17 patients diagnosed with PFMS at our pediatric rheumatology clinic between January 2018 and September 2023.

Results
In our clinic, 17 (1%) of 1663 familial Mediterranean fever patients presented with PFMS, and it was the initial manifestation in 10 patients (58.8%) in the cohort. Eight of the 17 patients had an M694V homozygous mutation in the MEFV gene. A magnetic resonance imaging showed myositis and fasciitis in just 1 patient, and myositis alone was evident in 5 others. Symptoms improved in 2 patients with nonsteroidal anti-inflammatory drugs, whereas prednisolone improved symptoms in 12 patients and anakinra was required in 3 patients. Patients who received anakinra had another severe attack and required long-term anakinra or canakinumab.

Conclusions
Syndrome for PFMS is difficult to recognize as it can sometimes be the first manifestation of familial Mediterranean fever. The syndrome is not accompanied by fever in some patients, even though the word febrile is part of its name. Most patients respond dramatically to nonsteroidal anti-inflammatory drugs or corticosteroids. In some patients with PFMS, long-term anakinra or canakinumab treatment may be more useful in preventing severe attacks of PFMS than short-term (5 to 7 days) anakinra treatment.
Parameter tuning for active disturbance rejection control of fixed-wing UAV based on improved bald eagle search algorithm
Authors: Xu Dukun , Deng Yimin , Duan Haibin 
Published: September 2024

Purpose
This paper aims to develop a method for tuning the parameters of the active disturbance rejection controller (ADRC) for fixed-wing unmanned aerial vehicles (UAVs). The bald eagle search (BES) algorithm has been improved, and a cost function has been designed to enhance the optimization efficiency of ADRC parameters.

Design/methodology/approach
A six-degree-of-freedom nonlinear model for a fixed-wing UAV has been developed, and its attitude controller has been formulated using the active disturbance rejection control method. The parameters of the disturbance rejection controller have been fine-tuned using the collaborative mutual promotion bald eagle search (CMP-BES) algorithm. The pitch and roll controllers for the UAV have been individually optimized to obtain the most effective controller parameters.

Findings
Inspired by the salp swarm algorithm (SSA), the interaction among individual eagles has been incorporated into the CMP-BES algorithm, thereby enhancing the algorithm's exploration capability. The efficient and accurate optimization ability of the proposed algorithm has been demonstrated through comparative experiments with genetic algorithm, particle swarm optimization, Harris hawks optimization HHO, BES and modified bald eagle search algorithms. The algorithm's capability to solve complex optimization problems has been further proven by testing on the CEC2017 test function suite. A transitional function for fitness calculation has been introduced to accelerate the ability of the algorithm to find the optimal parameters for the ADRC controller. The tuned ADRC controller has been compared with the classical proportional-integral-derivative (PID) controller, with gust disturbances introduced to the UAV body axis. The results have shown that the tuned ADRC controller has faster response times and stronger disturbance rejection capabilities than the PID controller.

Practical implications
The proposed CMP-BES algorithm, combined with a fitness function composed of transition functions, can be used to optimize the ADRC controller parameters for fixed-wing UAVs more quickly and effectively. The tuned ADRC controller has exhibited excellent robustness and disturbance rejection capabilities.

Originality/value
The CMP-BES algorithm and transitional function have been proposed for the parameter optimization of the active disturbance rejection controller for fixed-wing UAVs.
Cocreating value with hotel guests in the “new normal”: the case of Spain
Authors: Berenguer-Contri Gloria , Gil-Saura Irene , Gallarza Martina 
Published: September 2024

Purpose
This paper aims to identify the role of coproduction and value-in-use in the overall hotel experience value, and its effects on cognitive-affective satisfaction and loyalty. The country chosen is Spain, in the context of the “new normal,” where the increase in tourist flow after the COVID-19 pandemic has been very relevant, setting up the chance to better assess and discuss value creation in a post-pandemic era.

Design/methodology/approach
The causal model is validated with partial least squares (PLS) in a panel of 405 hotel guests (applying sampling quotas by sex, age and region).

Findings
The chain of effects is verified with stronger links at the end and with a greater weight of value-in-use compared to coproduction. Hotels’ efforts to adapt to the pandemic situation work better if a customized, unique experience is offered and if intensive communication is with and not just to the guest. The role of experience value is key for the cocreation to produce results for satisfaction and loyalty.

Originality/value
This study contributes to the value creation literature by highlighting the respective roles of coproduction and value-in-use as drivers of the satisfaction−loyalty chain, and by introducing the guest’s overall hotel experience value into this chain. This is viewed against the backdrop of the contextual changes that have occurred since 2020 in the Spanish hotel industry. The post-pandemic context “forces” the client to actively participate. Analysis of the implications of this kind of new cocreation on the overall customer experience is relevant for both tourism scholars and managers.
Challenges and strategies of gamification in family businesses: the moderating effects of supervision and engagement
Authors: Gandrita Daniel Mandel , Gandrita Ana , Rosado David Pascoal 
Published: September 2024

Purpose
This paper aims to unravel how family businesses can harness the power of gamification and to illuminate the hurdles that obstruct this path to success. The research identifies these challenges providing valuable insights into the application of gamification in family businesses and the role of supervision and engagement as moderator variables in this relationship.

Design/methodology/approach
Using a structural modeling approach in a qualitative research methodology, the authors collected responses from n = 200 participants. The results were analyzed using Spearman’s test and multiple linear regression.

Findings
The research findings reveal that family businesses need to carefully redefine costs when introducing gamification, considering both fixed and variable expenses. The moderating effects of supervision are crucial for user evolution and the correlation, while user engagement influences user and useability experience. Additionally, a positive attitude enhances engagement. Finally, the five key challenges lead to difficulties when implementing gamification strategies.

Practical implications
This research provides valuable insights for the literature on gamification and family business and offers practical guidance for family business owners seeking to introduce a tailored value proposition adapted to their unique organizational needs and challenges.

Originality/value
A novel approach is proposed which, through the integration of gamification strategies with family business dynamics, explores the unique challenges and opportunities that arise within this context. By focusing specifically on family businesses, this study highlights how generational differences, ownership structures and cultural resistance can impact the successful implementation of gamification.
Technology foresight in Indonesia: developing scenarios to determine electrical vehicle research priority for future innovation
Authors: Mahmud Jaizuluddin , Hastuti Pudji , Rafif Muhammad Fauzan , Panggabean Lambas Parlaungan , Santoso Irawan , Sarjono  , Zubair Manifas , Purnama Rizki Arizal , Saputra Andika Dwi , Shafira Yosa Permata , Sonia Angy 
Published: September 2024

Purpose
The purpose of this study is to determine research areas that are most favorable in supporting the development and manufacturing of electric vehicle (EV) components locally in Indonesia for 2025–2035. Therefore, will provide direction for the formulation of the related government policies and programs. Consequently, an EV technology research priority must be identified.

Design/methodology/approach
A technology foresight (TF) procedure which consists of a STEEPV analysis, followed by scenarios development and expert elicitation techniques, was conducted to determine an EV technology research priority that may direct future specific local component innovations, and therefore businesses.

Findings
The results of this study indicate that research in a range of EV battery technologies, technologies relating to a variety of key components (to increase local content) and autonomous systems were important to support the local development and manufacturing of EV components in Indonesia.

Research limitations/implications
In this study, the scenarios development process was conducted based on selected available experts, mostly internally from BRIN. Some biased opinions may be present.

Originality/value
There have not been any TF studies regarding the development of EV technology research priority in Indonesia.
Participatory analysis of disaster risk creation in Brazilian coastal cities: bridging remote sensing and citizen generated data
Authors: de Paula Aloísio Lélis , Marchezini Victor , Mendes Tatiana Sussel Gonçalves 
Published: September 2024

Purpose
This paper aimed to develop a participatory methodology to analyze the disaster risk creation in coastal cities, based on an approach that combines social, urban, environmental and disaster risk elements.

Design/methodology/approach
The methodology uses some aspects of three theoretical approaches in a complementary way: i) the Pressure and Release (PAR) framework for the identification of dynamic pressures that contribute to disaster risk creation; ii) the application of Drivers, Pressure, State, Impact, Response (DPSIR) framework to analyze environmental dimensions; and iii) urban analysis, applying the Strengths, Weaknesses, Opportunities and Threats (SWOT) tool to classify urban processes. The methodology combined the use of satellite remote sensing data to analyze the urban sprawl and citizen science methods to collect social and environmental data, using the case study of the watershed of the Juqueriquerê River in the coastal city of Caraguatatuba, Brazil. The pilot project was part of a local university extension project of the undergraduate course on Architecture and Urban Planning and also engaged residents and city hall representatives.

Findings
The satellite remote sense data analysis indicated a continuous urban sprawl between 1985 and 2020, especially in the south of the Juqueriquerê watershed, reducing urban drainage and increasing the extension and water depth of urban flooding and riverine floods. Using citizen science methods, undergraduates identified settlements with limited economic resources to elevate houses and a lack of infrastructure to promote a resilient coastal city. After identifying the dynamic pressures that contribute to disaster risk creation and the weaknesses and strengths of a resilient city, undergraduate students proposed urban planning interventions and gray and green infrastructure projects to mitigate disaster risks.

Social implications
The paper identifies urban sprawl in disaster-prone areas as one of the risk factors contributing to disaster. It also comprehensively analyzes differences between different zones in the Juqueriqere River, which will be useful for policy-making.

Originality/value
The method presented an interdisciplinary approach that used satellite remote sensing data and citizen science techniques to analyze disaster risks in coastal cities. The multidimensional approach used to evaluate risks is useful and can be replicated in other similar studies to gain a more comprehensive understanding of disaster risks.
Consensus model for probabilistic linguistic multi-attribute group decision-making based on incomplete social trust networks
Authors: Kang Kaiying , Xie Jialiang , Liu Xiaohui , Qiu Jianxiang 
Published: September 2024

PurposeExperts may adjust their assessments through communication and mutual influence, and this dynamic evolution relies on the spread of internal trust relationships. Due to differences in educational backgrounds and knowledge experiences, trust relationships among experts are often incomplete. To address such issues and reduce decision biases, this paper proposes a probabilistic linguistic multi-attribute group decision consensus model based on an incomplete social trust network (InSTN).Design/methodology/approachIn this paper, we first define the new trust propagation operators based on the operations of Probability Language Term Set (PLTS) with algebraic t-conorm and t-norm, which are combined with trust aggregation operators to estimate InSTN. The adjustment coefficients are then determined through trust relations to quantify their impact on expert evaluation. Finally, the particle swarm algorithm (PSO) is used to optimize the expert evaluation to meet the consensus threshold.FindingsThis study demonstrates the feasibility of the method through the selection of treatment plans for complex cases. The proposed consensus model exhibits greater robustness and effectiveness compared to traditional methods, mainly due to the effective regulation of trust relations in the decision-making process, which reduces decision bias and inconsistencies.Originality/valueThis paper introduces a novel probabilistic linguistic multi-attribute swarm decision consensus model based on an InSTN. It proposes a redefined trust propagation and aggregation approach to estimate the InSTN. Moreover, the computational efficiency and decision consensus accuracy of the proposed model are enhanced by using PSO optimization.