bluuebunny/crossref_metadata_2025 huggingface dataset:
A real-world pharmacovigilance study of FDA adverse event reporting system (FAERS) events for sunitinib
Authors: Zhang Xusheng , Ren Xiuli , Zhu Tianyu , Zheng Wanjin , Shen Chengwu , Lu Cuicui
Published: July 2024

Background

Sunitinib is approved for the treatment of metastatic renal cell carcinoma (mRCC), imatinib-resistant gastrointestinal stromal tumors (GIST), and advanced pancreatic neuroendocrine tumors (PNET). This study aims to investigate the safety profiles of sunitinib through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS).

Methods

The individual case safety reports (ICSRs) on sunitinib from 2006 Q1 to 2024 Q1 were collected from the ASCII data packages in the Food and Drug Administration Adverse Event Reporting System (FAERS). After standardizing the data, a variety of disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) were employed to identify the potential safety signals of sunitinib-associated AEs.

Results

A total of 35,923 ICSRs of sunitinib as the “primary suspected” drug were identified within the reporting period. The search detected 276 disproportionate preferred terms (PTs). The most common AEs, including diarrhea, asthenia, decreased appetite, hypertension, and dysgeusia, were consistent with the drug label and clinical trials. Unexpected significant AEs, such as uveal melanocytic proliferation, salivary gland fistula, yellow skin, eyelash discoloration, scrotal inflammation, were detected. The median onset time of sunitinib-related AEs was 57 days (interquartile range [IQR]16–170 days), with most of the ICSRs developing within the first month (n = 4,582, 39.73%) after sunitinib therapy as initiated.

Conclusion

The results of our study were consistent with routine clinical observations, and some unexpected AEs signals were also identified for sunitinib, providing valuable evidence for the safe use of sunitinib in the real-world and contributing to the clinical monitoring and risk identification of sunitinib.
Prediction of non-dipper blood pressure pattern in Chinese patients with hypertension using a nomogram model
Authors: Sun Dandan , Li Zhihua , Xu Guomei , Xue Jing , Wang Wenqing , Yin Ping , Wang Meijuan , Shang Miaomiao , Guo Li , Cui Qian , Dai Yuchuan , Zhang Ran , Wang Xueting , Song Dongmei
Published: July 2024

Non-dipper blood pressure has been shown to affect cardiovascular outcomes and cognitive function in patients with hypertension. Although some studies have explored the influencing factors of non-dipper blood pressure, there is still relatively little research on constructing a prediction model. This study aimed to develop and validate a simple and practical nomogram prediction model and explore relevant elements that could affect the dipper blood pressure relationship in patients with hypertension. A convenient sampling method was used to select 356 inpatients with hypertension who visited the Affiliated Hospital of Jining Medical College from January 2022 to September 2022. All patients were randomly assigned to the training cohort (75%, n = 267) and the validation cohort (25%, n = 89). Univariate and multivariate logistic regression were utilized to identify influencing factors. The nomogram was developed and evaluated based on the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC), and decision curve analyses. The optimal cutoff values for the prevalence of dipper blood pressure were estimated. The nomogram was established using six variables, including age, sex, hemoglobin (Hb), estimated glomerular filtration rate (eGFR), ejection fraction (EF), and heart rate. The AUC was 0.860 in the training cohort. The cutoff values for optimally predicting the prevalence of dipper blood pressure were 41.50 years, 151.00 g/L, 117.53 mL/min/1.73 m2, 64.50%, and 75 beats per minute for age, Hb, eGFR, ejection fraction, and heart rate, respectively. In summary, our nomogram can be used as a simple, plausible, affordable, and widely implementable tool to predict the blood pressure pattern of Chinese patients with hypertension.
Single-belt vs. split-belt treadmill symmetry training: is there a perfect choice for gait rehabilitation post-stroke?
Authors: Yang Chen , Veit Nicole , McKenzie Kelly , Aalla Shreya , Embry Kyle , Kishta Ameen , Roth Elliot , Jayaraman Arun
Published: July 2024

Post-stroke gait asymmetry leads to inefficient gait and a higher fall risk, often causing limited home and community ambulation. Two types of treadmills are typically used for training focused on symmetry: split-belt and single belt treadmills, but there is no consensus on which treadmill is superior to improve gait symmetry in individuals with stroke. To comprehensively determine which intervention is superior, we considered multiple spatial and temporal gait parameters (step length, stride time, swing time, and stance time) and their symmetries. Ten individuals with stroke underwent a single session of split-belt treadmill training and single belt treadmill training on separate days. The changes in step length, stride time, swing time, stance time and their respective symmetries were compared to investigate which training improves both spatiotemporal gait parameters and symmetries immediately after the intervention and after 5 min of rest. Both types of treadmill training immediately increased gait velocity (0.08 m/s faster) and shorter step length (4.15 cm longer). However, split-belt treadmill training was more effective at improving step length symmetry (improved by 27.3%) without sacrificing gait velocity or step length. However, this step length symmetry effect diminished after a 5-min rest period. Split-belt treadmill training may have some advantages over single belt treadmill training, when targeting step length symmetry. Future research should focus on comparing the long-term effects of these two types of training and examining the duration of the observed effects to provide clinically applicable information.
Untargeted metabolomics reveals the mechanism of amantadine toxicity on Laminaria japonica
Authors: Wang Xiaohan , Lu Yao , He Jinxia , Li Xiaojie , Xu Yingjiang , Ren Lihua , Li Huanjun
Published: July 2024

The antiviral agent amantadine is frequently detected in seawater and marine organisms. Because of increasing concentrations, amantadine has become a contaminant of emerging concern. This compound has toxic effects on the brown algae Laminaria japonica. The effects of amantadine on the biological processes of L. japonica and the corresponding toxic mechanisms remain unclear. In this study, amantadine toxicity on L. japonica was investigated using histopathological and physiological characteristics combined with metabolomics analysis. Changes in metabolites were determined by untargeted metabolomics after exposure to 107 ng/L amantadine for 72 h. The catalase activity in the exposure group slightly increased, whereas the superoxide dismutase activity greatly decreased. An increase in the malondialdehyde concentration was observed after amantadine exposure, which suggested that lipid peroxidation and cell damage occurred. Metabolomics analysis showed that there were 406 differentially expressed metabolites after amantadine exposure. These were mainly phospholipids, amino acids, purines, and their derivatives. Inhibition of the glycerophospholipid metabolism affected the lipid bilayer and cell structure, which was aligned with changes in histological observation. Changes in amino acids led to perturbation of protein synthesis and induced oxidative stress through interference with glutathione metabolism and tyrosine metabolism. Amantadine also interfered with energy metabolism in L. japonica by disturbing the tricarboxylic acid cycle and purine metabolism. The results of this study provide new insights into the mechanism of amantadine toxicity on L. japonica.
Comparison of grain traits and genetic diversity between Chinese and Uruguayan soybeans (Glycine max L.)
Authors: Sun Chang , Zhang Zhihao , Liu Meiling , Ceretta Sergio , Zhang Shengrui , Guo Bingfu , Li Yinghui , Liu Zhangxiong , Gu Yongzhe , Ao Xue , Qiu Lijuan
Published: July 2024

Soybeans (Glycine max L.), originating in China, were introduced to South America in the late 19th century after passing through North America. South America is now a major soybean-producing region, accounting for approximately 40% of the global soybean production. Crops like soybeans gradually adapt to the local climate and human-selected conditions, resulting in beneficial variations during cultivation in different regions. Comparing the phenotypic and genetic variations in soybeans across different regions is crucial to determining the variations that may enhance soybean productivity. This study identified seed-related traits and conducted a genetic diversity analysis using 46 breeding soybean varieties from China and Uruguay. Compared to the Chinese soybean germplasm, the Uruguayan equivalent had a lower 100-grain weight, higher oil content, lower protein content, and higher soluble sugar content. Using ZDX1 gene chips, genetic typing was performed on the 46 breeding varieties. Cluster analysis based on SNP sites revealed significant differences in the genetic basis of Sino-Uruguayan soybean germplasm. Selection analysis, including nucleotide polymorphism (π) and fixation indexes (Fst), identified several genomic regions under selection between Sino-Uruguayan soybean germplasm. The selected intervals significantly enriched gene ontology (GO) terms related to protein metabolism. Additionally, differentiation occurred in genes associated with the oil content, seed weight, and cyst nematodes between Sino-Uruguayan soybean germplasm, such as GmbZIP123 and GmSSS1. These findings highlight the differences in seed-related phenotypes between Sino-Uruguay soybean germplasm and provide genomic-level insights into the mechanisms behind phenotypic differences, offering valuable references for understanding soybean evolution and molecular breeding.
Imagining the flood: rationalities of governance in sinking cities
Authors: Steig Florian
Published: July 2024

The rise in global sea levels poses a substantial, sometimes existential threat to coastal cities around the world, such as Bangkok, Lagos, or Jakarta. Adaptation projects range from hard infrastructure to nature-based solutions or ‘planned retreat’, often having severe implications in terms of equity and equality. Given the threat of urban flooding and submergence, this paper asks how ‘the future’ for these cities is imagined, and how sociotechnical imaginaries of climate futures inform policymaking. Using insights from poststructuralism and Science and Technology Studies (STS), I argue that the way of ‘seeing’ and ‘knowing’ sea level rise is constitutive of the rationalities that undergird the governing of rising water around the world. I trace the discrete operations of the discursive formations and imaginaries that have evolved globally around the issue of sea level rise, with their own distinctive logics. Analyzing a variety of globally circulating policy documents and local adaptation projects, I show how the governance of sea level rise is based on a very specific ‘expert’ knowledge that allows re-designing sinking cities ‘from above’. This kind of knowledge, provided by a depoliticizing global network of consultants, designers, and development banks, privileges imaginaries of modernity and control using technology and engineering, as well as ideas on how populations in flood-prone areas are expected to govern themselves in the advent of rising sea levels. These imaginaries tend to marginalize alternative local adaptation practices, lead to unintended outcomes, and often discriminate against those who are already vulnerable to climate change impacts.
Assessing and recovering Alzheimer’s disease: a comparative analysis of standard neuropsychological approaches and virtual reality interventions with the use of digital storytelling
Authors: Stasolla Fabrizio , Di Gioia Mariacarla , Messina Irene , Treglia Francesco , Passaro Anna , Zullo Antonio , Dragone Mirella
Published: July 2024

Background

Alzheimer’s disease (AD), the most common form of dementia, is a progressive neurodegenerative disorder that predominantly affects the elderly population. Traditional assessment methods, including neuropsychological tests like the MMSE, have been the cornerstone of AD diagnosis for decades. These methods are grounded in a wealth of research and clinical experience, providing a robust framework for understanding the cognitive deficits of AD. The evolution of AD assessment and rehabilitation has recently been tackled with the introduction of Virtual Reality (VR) technologies.

Objectives

To evaluate the use of storytelling and reminiscence therapy in virtual reality programs as a complementary and enhancing modality alongside standard assessment and rehabilitation for Alzheimer’s patients. To explore how regular interaction with VR narratives can slow cognitive decline or improve relevant features of cognitive functioning over the time. To propose a new assessment and rehabilitative tool based on the use of VR and digital storytelling.

Method

A comparative analysis of Standard Neuropsychological Approaches and Virtual Reality Interventions in patients with Alzheimer disorder was carried out. A literature overview on the empirical studies between 2019 and 2024 was conducted.

Results

We propose a new VR-based setup mediated by the use of storytelling for the assessment and recovery of AD.

Conclusion

The employment of storytelling within VR programs for the assessment and rehabilitation of Alzheimer’s disease can positively impact both the cognitive and emotional realms of patients, with beneficial outcomes on caregivers’ and families’ burden. The successful implementation of this approach requires careful consideration of accessibility, data interpretation, and standard validation protocols.
An isochronic substitution benefit study of the effects of screen time on the cognitive abilities of 3–6 children
Authors: Zhenya Chang , Aifeng Zhu , Ling Wang
Published: July 2024

Purpose

To investigate the impact of substituting screen time with other activities on children's cognitive ability.

Method

A total of 583 children (299 males and 284 females), aged 3–6 years, were selected as participants. Correlation, regression, and isochronic substitution analyses were used.

Results

Screen entertainment time on TV (SET_TV) was negatively associated with children's math ability. However, screen learning time on other electronic devices besides TV (SLT_OED) and non-screen learning time by learning alone (NSLT_LA) were positively associated with math ability and language ability. After controlling for gender, age, and family socio-economic status, SET_TV remained negatively associated with math ability, while NSLT_LA remained positively correlated. Furthermore, substituting 10 min of SET_TV with NSLT_LA resulted in an increase of 0.55 in language ability and 0.87 in math ability. Similarly, substituting SLT_OED, sleeping at home, and exercising outside of kindergarten for 10 min of SET_TV resulted in an increase of 0.90, 0.43, and 0.61 in math ability, respectively.

Conclusions

There are cognitive benefits when screen recreation time is replaced with screen learning time, non-screen learning time, sleep time, and exercise time, with the highest benefits observed when screen recreation time is substituted with NSLT_LA.
The SABER School Feeding policy tool: a 10-year analysis of its use by countries in developing policies for their national school meals programs
Authors: Schultz Linda , Renaud Alice , Bundy Donald A. P. , Barry Fatoumata B. M. , Benveniste Luis , Burbano de Lara Carmen , Lo Mouhamadou Moustapha , Neitzel Jutta , O’Grady Niamh , Drake Lesley
Published: July 2024

Since its launch in 2011, 59 governments have used the World Bank’s Systems Approach for Better Education Results (SABER) policy tool to design their national school-based health and nutrition programs. This tool guides governments to self-evaluate their education system policies against international benchmarks and identify actionable priorities to strengthen national programs. Thirty-two of the 49 countries in sub-Saharan Africa (65%) have undertaken a SABER review, and globally the approach has been adopted by 68% of the world’s low-income countries and 54% of lower-middle-income countries. Analysis of 51 comparable SABER School Feeding surveys suggests that countries with longer established national school meals frameworks tend also to be more advanced in other policy areas, and vice versa. The SABER reviews consistently identify, perhaps predictably, that the weakest policy areas relate to program design, implementation and fiscal space. This analysis also found that the tool had an additional value in tracking the evolution of policies when implemented over several time points, and showed that policy areas become more advanced as national programs mature. These benefits of the tool are particularly relevant to the 98 countries that co-created the global School Meals Coalition in 2021. The Coalition member countries have the specific goal of enhancing coverage and support for the well-being of schoolchildren and adolescents affected by the school closures during the COVID-19 pandemic. The SABER tool has the demonstrated potential to implement, accelerate and track changes in school meals policy and, since it has been previously used by 74% (31/42) of low- and lower-middle-income countries in sub-Saharan Africa, is an already accepted element of the political economies of those countries and so has the potential to be deployed rapidly.
A framework for integrating wastewater-based epidemiology and public health
Authors: Brosky Hanna , Prasek Sarah M. , Innes Gabriel K. , Pepper Ian L. , Miranda Jasmine , Brierley Paul E. , Slinski Stephanie L. , Polashenski Lois , Betancourt Walter Q. , Gronbach Katie , Gomez Diana , Neupane Reshma , Johnson Jasmine , Weiss Joli , Yaglom Hayley D. , Engelthaler David M. , Hepp Crystal M. , Crank Katherine , Gerrity Daniel , Stewart Jill R. , Schmitz Bradley W.
Published: July 2024

Wastewater-based epidemiology (WBE) is an environmental approach to monitor community health through the analysis of sewage. The COVID-19 pandemic catalyzed scientists and public health professionals to revisit WBE as a tool to optimize resource allocation to mitigate disease spread and prevent outbreaks. Some studies have highlighted the value of WBE programs that coordinate with public health professionals; however, the details necessary for implementation are not well-characterized. To respond to this knowledge gap, this article documents the framework of a successful WBE program in Arizona, titled Wastewater Analysis for Tactical Epidemiological Response Systems (WATERS), detailing the developed structure and methods of communication that enabled public health preparedness and response actions. This communication illustrates how program operations were employed to reduce outbreak severity. The structure outlined here is customizable and may guide other programs in the implementation of WBE as a public health tool.
Sailing into the future: technologies, challenges, and opportunities for maritime communication networks in the 6G era
Authors: Xylouris Georgios , Nomikos Nikolaos , Kalafatelis Alexandros , Giannopoulos Anastasios , Spantideas Sotirios , Trakadas Panagiotis
Published: July 2024

The maritime domain is a major driver of economic growth with emerging services, comprising intelligent transportation systems (ITSs), smart ports, security and safety, and ocean monitoring systems. Sixth generation (6G) mobile networks will offer various technologies, paving the way for reliable and autonomous maritime communication networks (MCNs), supporting these novel maritime services. This review presents the main enabling technologies for future MCNs and relevant use cases, including ITSs with reduced carbon footprint, ports and maritime infrastructure security, as well as fault detection and predictive maintenance. Moreover, the current trends in integrated satellite-aerial-terrestrial-maritime network architectures are discussed together with the different network segments and communication technologies, and machine learning integration aspects.
Valid and accurate simple equation to predict 3,000-m steeplechase performance
Authors: Barbry Alexis , Lerebourg Lucie , Racil Ghazi , Jlid Mohamed Chedly , Coquart Jérémy
Published: July 2024

Introduction

Predict running performances is very important for athletes and trainers. Sport researchers have therefore developed certain tools to predict running performances, but only in non-obstacle races. This study aimed to develop and test the validity and accuracy of an equation for predicting 3,000-m steeplechase performance (PerfSteeple).

Methods

The official rankings of French runners for the 3,000-m track-running (Perf3000) and 3,000-m steeplechase events were examined. Age, height and body mass were collected. From 146 included athletes, two groups were randomly composed: one comprising 80% of the sample (n = 117) to develop a simple equation to predict PerfSteeple (i.e., development group) and the other comprising the remaining 20% (n = 29) to test the validity and accuracy of the developed prediction equation (i.e., cross-validation group).

Results

The simple prediction equation included Perf3000 and age: PerfSteeple=−57,165+1,147×Perf3000+0,955×age. No significant difference was noted between the actual and predicted performances. Predicted performances were significantly correlated with the actual ones, with a very high correlation coefficient (p < 0.001; r = 0.929). Bias and 95% limits of agreement were −5 ± 24 s, i.e., −0.8 ± 7.6%. In 95 of 100 new predictions, the difference between actual and predicted performance would be less or equal to—5 ± 24 s.

Discussion

The study confirms the validity and accuracy of the equation for predicting PerfSteeple. Predictions using this simple equation may be used in training and competitions for athletes and coaches. PerfSteeple = −57,165 + 1,147 X Perf3000 + 0,955 X age.
Estimating the cost of young stock mortality in livestock systems—An application to sheep farming in Ethiopia
Authors: Otte Joachim , Schnier Christian , Allan Fiona K. , Salmon Gareth , Wong Johanna T. , Minjauw Bruno
Published: July 2024

Introduction

In sub-Saharan Africa, pre-weaning young stock mortality (YSM) is in the order of 20 to 30% across most livestock species and production systems. High YSM has significant economic implications for livestock keepers, but few studies provide estimates of the “cost of YSM.” This study explores a bio-economic herd modeling approach to estimate the “cost of YSM” at farming/livestock system level.

Methods

The static zero-growth version of DYNMOD was used to calculate the annual physical and monetary output of a sheep flock consisting of 100 breeding females at different levels of lamb mortality. Production parameter values and prices were taken from recently published research. Calculations were carried out for values of lamb mortality decreasing from 30% to 0% in 5% intervals, with 20% representing the “baseline” YSM. Calculations were repeated for a “high” fertility scenario (100% vs. 59% parturition rate) to gauge the sensitivity of the cost of YSM to another parameter determining flock productivity.

Results

The relation of revenue per head and YSM is close to linear over the range of analyzed YSM with 1% decrease in YSM resulting in an increase in revenue per animal of approximately 1%. At the higher fertility rate, the absolute cost of YSM to sheep farmers is higher while the relative increase in revenue per animal resulting from YSM reduction is lower. The estimated difference in revenue of the 100-ewe flock between the 20% and 0% lamb mortality scenarios (at baseline fertility) amounts to approximately USD 90 per additionally surviving lamb, which is far above its market value.

Discussion

Reduced lamb mortality ultimately impacts flock revenue through increased sales of “mature” animals, which embody the value of a lamb plus the revenue/profit from raising it to marketable age/weight. The modeling results suggest that foregone profit is an important component of the systemic “cost of YSM.” Consequently, expected profit per animal, in addition to its current market value, is essential for estimating the absolute cost of YSM at farming system level.
Determinants of joint effusion in tarsocrural osteochondrosis of yearling Standardbred horses
Authors: Bertuglia Andrea , Pallante Marcello , Pagliara Eleonora , Valle Daniela , Bergamini Lara , Bollo Enrico , Bullone Michela , Riccio Barbara
Published: July 2024

Tarsocrural osteochondrosis (OCD) is a developmental orthopedic disease commonly affecting young Standardbreds, with different fragment localization and size. Clinically, it is characterized by variable synovial effusion in the absence of lameness, whose determinants are ill-defined. We hypothesized that localization and physical characteristics of the osteochondral fragments like dimensions, multifragmentation, and instability influence joint effusion and correlate with synovial markers of cartilage degradation and inflammation. Clinical data, synovial fluid and intact osteochondral fragments were collected from 79 Standardbred horses, aged between 12 and 18 months, operated for tarsocrural OCD. The severity of tarsocrural joint effusion was assessed semi-quantitatively. The osteochondral fragment site was defined radiographically at the distal intermediate ridge of the tibia (DIRT), medial malleolus (MM) of the tibia, and/or lateral trochlear ridge (LTR) of the talus. Size, stability, and arthroscopic appearance (unique or multi-fragmented aspect) of the fragments were determined intra-operatively. Synovial concentrations of C-terminal cross-linked telopeptides of type II collagen (CTX-II), leukotriene B4 (LTB4), and prostaglandin E2 (PGE2) were quantified. Tarsocrural synovial effusion was significantly affected by localization and stability of the fragments, with MM-located and unstable fragments being associated with highest joint effusion. Concentrations of CTX-II, LTB4, and PGE2 positively correlated with the severity of synovial effusion. This study underlines characteristics of the osteochondral fragments determining higher synovial effusion in OCD-affected tarsocrural joints and suggests both inflammation and extra-cellular matrix degradation are active processes in OCD pathology.
Realities, perceptions, and strategies for implementation of an ethical population management program for dogs and cats on university campuses
Authors: Bicalho Gustavo Canesso , Oliveira Lucas Belchior Souza de , de Oliveira Camila Stefanie Fonseca , Costa Val Bicalho Adriane Pimenta Da , Bastos Camila Valgas , Torres Camila Machado , Malm Christina , de Souza Fernanda Louro , Lima Graciela Kunrath , Maia Lorena Diniz Macedo Silva , Villalta Luiz Carlos , de Carvalho Marcelo Pires Nogueira , de Freitas Rossimiriam Pereira , Goveia Vania Regina , Barrado Werik dos Santos , Oliveira Yara de Freitas , Soares Danielle Ferreira de Magalhães
Published: July 2024

Stray dogs and cats pose significant challenges for public health and animal welfare due to their potential involvement in zoonotic disease transmission, accidents, and aggressions. Large urban centers exacerbated challenges due to the presence of these animals in public areas with high human density. Ethical Population Management Programs (EPMP), rooted in the One Health approach, are crucial for addressing this issue comprehensively. This study aimed to demonstrate the approach on cats and dogs EPMP and evaluate the perceptions of academic community regarding EPMP implementation on a campus situated in urban territory. The study was conducted at the Pampulha campus of UFMG in Belo Horizonte, Brazil. In response to issues of animal abandonment and conflicts, the Permanent Commission for Animal Policies (CPPA-UFMG) was established in 2019 to manage the campus’s dog, cat, and wildlife populations. The commission implemented the Trap-Neuter-Return (TNR) method, along with health assessments and vaccinations for animals. Interviews were conducted with campus staff to gauge their perception of animal management strategies. Retrospective and prospective analyses of the commission’s actions were carried out to assess implementation processes and challenges. The animal population survey conducted on campus between July 2018 and September 2021 revealed a total of 266 animals recorded. Among these animals, 195 were cats (73.3%) and 71 were dogs (26.7%), with the majority being adults. Subsequent surveys in 2019 and 2021 showed a slight increase in the animal population, with measures such as sterilization contributing to population control. Perception analysis among campus users indicated strategies such as TNR were widely endorsed for population control. The employees perception questionnaire was applied to 115 individuals, representing 42 units/departments and five gates. Associations were found between these beliefs and support for institutional actions. The majority favored sterilization (92.17%) and agreed that TNR is an appropriate approach to population control. Overall, the study reflects a community concerned about animal welfare and supportive of measures to address population management and cruelty prevention. The continuous efforts of the university’s CPPA have led to stability in the resident animal population, indicating success in achieving population control objectives.
Comparative study on corneal epithelium healing: effects of crosslinked hyaluronic acid and amniotic membrane extract eye drops in rats
Authors: Gonçalves e Souza Lenara , Vilardo Lóes Moreira Matheus , Sayuri Saçaki Claudia , Perlmann Eduardo , Guimarães Lopes Thacyana Beatriz , Ferreira Enio , Moreno Juan Carlos Duque , Montiani-Ferreira Fabiano
Published: July 2024

Introduction

Corneal ulcers are common lesions in both human and veterinary medicine. However, only a few studies have evaluated the efficacy of cross-linked hyaluronic acid (X-HA) eye drops on corneal wound healing. To our knowledge, this is the first study to demonstrate and compare the efficacy of amniotic membrane extract eye drops (AMEED) and X-HA for corneal wound healing in rats.

Material and methods

A total of 15 male Wistar rats (30 eyes) were used in this study. Then, 10 eyes were treated with X-HA, AMEED, or 0.9% saline. After general and topical anesthesia, a superficial corneal ulcer was created using a corneal trephine. The defect was further polished with a diamond burr. Three groups of 10 eyes each were treated with either one drop of 0.75% X-HA or AMEED or 0.9% saline (control), administered every 12 h for a duration of 72 h. The median epithelial defect area (MEDA), expressed as a percentage of the total corneal surface, was measured at 0, 12, 24, 36, 48, and 72 h. Re-epithelization time scores were also evaluated. The Kruskal–Wallis test was used to compare median times for re-epithelization and histopathologic scores between groups, while the Friedman test (for paired data) was employed to compare results from the serial analysis of MEDA and vascularization scores between groups.

Results

MEDA was not significantly different between X-HA and AMEED. However, MEDA was significantly smaller in the X-HA group compared to the control group at 36 h (2.73 interquartile range (IQR) 5.52% x 9.95 IQR 9.10%, P=0.024) and 48 h (0.00 IQR 0.26% x 6.30 IQR 8.54%, P=0.030). The overall time for re-epithelization was significantly lower in the X-HA group (3.00 IQR 3.00) compared to the AMEED (6.5 IQR 3.00) and control (7.00 IQR 1.00) groups (P=0.035). Vascularization, hydropic degeneration, and epithelial-stromal separation were significantly less observed in samples in the X-HA-treated compared to samples in the AMEED- and saline-treated groups. Significantly more corneal epithelium cells were labeled for caspase3 in samples from the AMEED- and saline-treated groups compared to those from the X-HA-treated group.

Discussion

Topical X-HA has been shown to accelerate corneal epithelial healing. AMEED did not decrease corneal re-epithelialization time. X-HA may also potentially be used as an adjunct therapy for treating corneal ulcers in clinical situations.
Identifying risk clusters for African swine fever in Korea by developing statistical models
Authors: Ko Kyeong Tae , Oh Janghun , Son Changdae , Choi Yongin , Lee Hyojung
Published: July 2024

Introduction

African swine fever (ASF) is a disease with a high mortality rate and high transmissibility. Identifying high-risk clusters and understanding the transmission characteristics of ASF in advance are essential for preventing its spread in a short period of time. This study investigated the spatial and temporal heterogeneity of ASF in the Republic of Korea by analyzing surveillance data on wild boar carcasses.

Methods

We observed a distinct annual propagation pattern, with the occurrence of ASF-infected carcasses trending southward over time. We developed a rank-based statistical model to evaluate risk by estimating the average weekly number of carcasses per district over time, allowing us to analyze and identify risk clusters of ASF. We conducted an analysis to identify risk clusters for two distinct periods, Late 2022 and Early 2023, utilizing data from ASF-infected carcasses. To address the underestimation of risk and observation error due to incomplete surveillance data, we estimated the number of ASF-infected individuals and accounted for observation error via different surveillance intensities.

Results

As a result, in Late 2022, the risk clusters identified by observed and estimated number of ASF-infected carcasses were almost identical, particularly in the northwestern Gyeongbuk region, north Chungbuk region, and southwestern Gangwon region. In Early 2023, we observed a similar pattern with numerous risk clusters identified in the same regions as in Late 2022.

Discussion

This approach enhances our understanding of ASF spatial dynamics. Additionally, it contributes to the epidemiology and study of animal infectious diseases by highlighting areas requiring urgent and focused intervention. By providing crucial data for the targeted allocation of resources for disease management and preventive measures, our findings lay vital groundwork for improving ASF management strategies, ultimately aiding in the containment and control of this devastating disease.
Effect of Wei Qi Booster on immune and anti-oxidative function in aged mice
Authors: Ma Shuang , Chen Yuming , Zhou Zhilong , Ma Aituan
Published: July 2024

This research was conducted to examine the impact of Wei Qi Booster (WQB) on immune parameters and anti-oxidative function in aged mice. Fifty aged mice were randomly assigned to five different groups. Group A was designated as the control group. Mice in Group B were receiving Levamisole at 10 mg/kg body weight. Each mouse in groups C, D and E received 0.1, 1, and 2% WQB, respectively. Another ten young mice, designated as group F, were fed regularly. The mice were fed according to the above methods for 28 days. Results showed that relative to the control group, the body weight and immune organs indexes experienced a substantial rise in the group with 1% WQB. In addition, 1% WQB could improve the activity of SOD and reduce the MDA levels. Expressions of CD4 and sIgA increased while CD8 decreased in the jejunum of aged mice treated with WQB. IL2 and IFN-γ levels increased in the 1% WQB group, showing no notable difference compared to the young mice group. The results demonstrated that WQB can elevate immune levels and enhance anti-oxidative functions in aged mice.
Unraveling Herpes Zoster Vaccine Hesitancy, Acceptance, and Its Predictors: Insights From a Scoping Review
Authors: Wang Xiaolong , Shang Shuhui , Zhang Enming , Dai Zhengyue , Xing Yufei , Hu Jiale , Gao Yaojuan , Fang Qiong
Published: July 2024

Objectives

Herpes zoster vaccination is critical in preventing herpes zoster virus infection and its associated consequences. Despite its relevance, global herpes zoster immunisation coverage remains alarmingly low. Understanding the factors that drive vaccine scepticism and acceptance is crucial for increasing immunisation rates and improving public health outcomes.

Methods

This scoping review, following Joanna Briggs Institute guidelines, included 18 studies examining vaccine hesitancy, acceptance, and associated factors. Meticulous data analysis revealed hesitancy’s intricate dynamics across countries and demographics.

Results

Studies displayed a wide range of acceptance rates (2.8%–89.02%), showcasing the complex interplay of attitudes and behaviors towards vaccination. Reasons for vaccine refusal were repeatedly identified in this setting, including worries about potential adverse effects, views of vaccine necessity, and vaccine supply constraints. Notably, individuals’ patterns of vaccine acceptance and hesitancy differed among countries, vaccines, and vaccination-related factors.

Conclusion

Addressing acceptance hurdles by improving accessibility, providing accurate information, and strengthening healthcare recommendations is crucial. Understanding the multifaceted factors influencing hesitancy allows for targeted interventions, elevating immunization rates and enhancing public health globally.
Multi-Head Self-Attention-Based Fully Convolutional Network for RUL Prediction of Turbofan Engines
Authors: Liu Zhaofeng , Zheng Xiaoqing , Xue Anke , Ge Ming , Jiang Aipeng
Published: July 2024

Remaining useful life (RUL) prediction is widely applied in prognostic and health management (PHM) of turbofan engines. Although some of the existing deep learning-based models for RUL prediction of turbofan engines have achieved satisfactory results, there are still some challenges. For example, the spatial features and importance differences hidden in the raw monitoring data are not sufficiently addressed or highlighted. In this paper, a novel multi-head self-Attention fully convolutional network (MSA-FCN) is proposed for predicting the RUL of turbofan engines. MSA-FCN combines a fully convolutional network and multi-head structure, focusing on the degradation correlation among various components of the engine and extracting spatially characteristic degradation representations. Furthermore, by introducing dual multi-head self-attention modules, MSA-FCN can capture the differential contributions of sensor data and extracted degradation representations to RUL prediction, emphasizing key data and representations. The experimental results on the C-MAPSS dataset demonstrate that, under various operating conditions and failure modes, MSA-FCN can effectively predict the RUL of turbofan engines. Compared with 11 mainstream deep neural networks, MSA-FCN achieves competitive advantages in terms of both accuracy and timeliness for RUL prediction, delivering more accurate and reliable forecasts.
Nonlinear Surrogate Model Design for Aerodynamic Dataset Generation Based on Artificial Neural Networks
Authors: Suarez Guillermo , Özkaya Emre , Gauger Nicolas R. , Steiner Hans-Jörg , Schäfer Michael , Naumann David
Published: July 2024

In this work we construct a surrogate model using artificial neural networks (ANN) to predict the steady-state behavior of an unmanned combat aircraft. We employ various strategies to improve the model’s accuracy, including the consideration of design tolerances, creating independent surrogate models for the different flow regimes and encoding non-numeric input features. We also explore alternative machine learning models, albeit they demonstrated a lower reliability than ANNs. Two scenarios are considered for the target variable: one focusing solely on predicting the pitching moment coefficient, and the other incorporating the roll moment coefficient as well. We investigate different methods for handling multiple targets, finding that constructing a single model with multiple outputs consistently outperforms developing separate models for each target variable. Overall, the ANN provides predictions that show excellent agreement with the experimental data, demonstrating its effectiveness and reliability in aerodynamic modeling.
Humic Acids Combined with Dairy Slurry as Fertilizer Can Increase Alfalfa Yield and Reduce Nitrogen Losses
Authors: Huang Yanqin , Shi Huixian , Sindhøj Erik , Wang Guiyun , Liu Fuyuan , Gao Xingliang , Du Huiying , Du Lianzhu , Zhang Keqiang
Published: July 2024

Dairy slurry could be a significant source of nitrogen (N) for plants, but mismanagement can lead to atmospheric ammonia losses or nitrate leaching into groundwater. To make the use of dairy slurry efficient and reasonable, the loss of N pollution to the environment should be reduced. We used repacked lysimeters to comprehensively determine ammonia emission and N leaching losses in an alfalfa–soil system. The application of dairy slurry had no significant effect on alfalfa yield at the same rate of N application in comparison to chemical fertilizer, and adding humic acids significantly increased yield by about 12%. However, the application of dairy slurry increased the ammonia emission rate significantly, leading to an increase in the cumulative amount of ammonia emission, while the addition of humic acids reduced the ammonia emissions by 11%. Chemical fertilizer and dairy slurry application significantly increased nitrate leaching compared to the control treatment, while the addition of humic acids can significantly reduce ammonium N leaching. Dairy slurry was proven to be as effective as chemical N fertilizer in achieving the optimum biomass, and adding humic acids can significantly reduce N loss to the atmosphere and groundwater. This study showed the possibility of replacing chemical fertilizer with dairy slurry in alfalfa production and the advantages of humic acids’ addition to alfalfa to maintain production yield and improve environmental friendliness.
Evaluation and Promotion of Alluvial Fan Land Suitability for Agriculture in the Lhasa River Basin, Qinghai–Tibet Plateau
Authors: Chen Tongde , Jiao Juying , Wang Lingling , Wei Wei , Zhao Chunjing , Wei Shuwei
Published: July 2024

Alluvial fans have been proven to have great utilisation potential in QTP, but to what extent they are suitable for agricultural development is unknown. Therefore, using the alluvial fan in the Lhasa River Basin (LRB) as a case study, this paper established an evaluation system of land suitability for agriculture (LSA). Principal component analysis (PCA) and the exhaustive method (EM) were used to define the minimum dataset (MDS) and then the LSA of the alluvial fan in the LRB was evaluated using a comprehensive index of LSA. Two scientific approaches were implemented to improve the LSA using a scenario simulation. The results showed that the MDS assessed by the EA was more representative compared to the PCA. Alluvial fans with suitable grades are mainly distributed in the Lhasa River’s middle and lower reaches. Developing facility agriculture and repairing roads accessing the alluvial fans are effective approaches to improve the LSA, which can increase the suitable-grade area from 58.62% to 97.82% and 63.85%, respectively. Therefore, most alluvial fans in the LRB are suitable for developing agriculture, and under the influence of human activities, there will be more alluvial fans suitable for developing agriculture. Our research provides scientific methods for the sustainable development of land in alpine regions.
An Investigation and Invasiveness Analysis of Two Species of Giant African Snail in a Coastal City of Southern China
Authors: Zhang Yongzhe , Wang Xinfeng , Tang Yuzhe , Wang Linjing , Han Rui , Qiao Xi , Wan Fanghao , Qian Wanqiang , Liu Conghui
Published: July 2024

Investigations and research on the giant African snail (GAS) mainly focus on Achatina fulica. However, in recent years, a more harmful GAS, Achatina immaculata, has been reported. In order to understand the invasive status of A. immaculata in China, we take Shenzhen, a coastal city in Southern China, as an example to carry out an ecological survey on the field populations of the two species of GAS in various districts. We explore the differences in the invasive characteristics of the two species of snails in terms of their dietary intake, cold adaptation and drought resistance. The results indicate that, based on the phylogenetic tree analysis, more than half of the sampled snails exhibit higher similarity to A. immaculata. The number of wild A. immaculata is significantly greater than that of A. fulica, and 70.64% of the 746 GAS are A. immaculata. At the same time, it is also found that the maximum shell length of A. immaculata is 135.83 mm, with an average shell length of 76.00 mm, which is significantly different from the average shell length of A. fulica (56.57 mm, p < 0.01). The food intake assay shows that there is no difference in the food preferences of the two species, but the food demand of A. immaculata is significantly greater than that of A. fulica (2.32 fold, p < 0.01). In the cold adaptation assay, A. immaculata recovers from the cold dormancy state significantly faster than A. fulica (1.92 fold, p < 0.05), and the speed with which A. immaculata enters the dormancy state in the drought environment is significantly slower than that of A. fulica (0.706 fold, p < 0.05). With the characteristics of a large body size, large food intake and strong resistance to cold and drought resistance, A. immaculata has the potential to be dominant in competition with A. fulica in the same ecological niche, and it has become the main invasive species of GAS in Shenzhen.
Study on the Appropriate Degree of Water-Saving Measures in Arid Irrigated Areas Considering Groundwater Level
Authors: Li Shuoyang , Yang Guiyu , Chang Cui , Wang Hao , Jin Xiaohui , Peng Zhigong
Published: July 2024

Irrigated areas are major vectors of agricultural development and components of ecosystems. The groundwater level maintains the irrigated areas’ ecology safety and sustainable development. Under the influence of irrational irrigation practices—such as flood irrigation or extreme water saving without consideration of ecological impact—different areas within an irrigation district may experience anomalies in groundwater levels (either too deep or too shallow). It is of great significance to carry out research on water resource allocation and future water-saving strategies, taking into consideration groundwater depths. In this study, a method for the optimal allocation of irrigation water resources that considered groundwater level was used to regulate irrational irrigation practices and to reveal the future direction of water saving. Helan County in Ningxia province, an ecologically fragile and arid irrigated area, was selected as a case study. Multiple scenarios of different water use and different degrees of water-saving were analyzed. The results showed that non-engineering water-saving measures (such as adjusting the planting structure and controlling the amount of irrigation for rice) had better benefits compared to engineering measures (such as efficient water-saving irrigation and channel lining). When implementing only one water-saving measure, the strategy of replacing 75% of the rice area with corn yielded the best results. This approach can reduce the irrigation water shortage rate to 11% and increase by 4.58% the acreage where the groundwater level is reasonable. When multiple water-saving measures are implemented together, the most effective strategy for future water-saving efforts involves the joint implementation of several measures: replacing 75% of the rice area with corn, limiting irrigation for rice to no more than 11.85 thousand m3/ha, adopting high-efficiency water-saving irrigation in 90% of the pump-diverted water irrigation region and 40% of the channel-diverted water irrigation region, and maintaining the channel’s water utilization coefficient at 0.62. This strategy can keep the irrigation water shortage below 3.66% and increase the acreage where the groundwater level is reasonable, by 4.58% per year. The conclusions and research approaches can provide references for the formulation of water-saving measures for irrigated areas’ sustainable development.