bluuebunny/crossref_metadata_2025 huggingface dataset:
A PRACTICAL FRAMEWORK FOR RANKING-BASED ANALYSIS OF LIVABILITY IN URBAN-RURAL CONTEXTS: A CASE STUDY OF QAZVIN CITY-REGION, IRAN
Authors: Safari Alireza , Salaripour Aliakbar , Azimi Nooreddin
Published: October 2024

The burgeoning world population has transformed the interplay of space, human beings, and activity, leading to a decline in quality of life and livability in many places. This study aimed to identify the factors affecting livability within a new integrated urban-rural scale using both qualitative and quantitative approaches. Based on the research background and context, objective and subjective indices of livability in the economic, social, and environmental dimensions were developed for both urban and rural settlements in Qazvin, Iran. Data on these indices were collected through secondary resources and questionnaires, and then analyzed using the Analytic Hierarchy Process (AHP) along with Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), both of which are multi-criteria decision-making methods. The compatibility between these two methods—used for comparing, weighting and evaluating quantitative and qualitative criteria—sets them apart from similar approaches. The results show no complete preference both in the cities and the rural districts. Furthermore, the importance of using three dimensions is highlighted in livable communities by the fact that Qazvin city unexpectedly could not acquire complete superiority due to poor environmental function even though it is the major settlement of the region. An examination of the effective factors and indices also demonstrated that the social dimension of livability is less desirable in the whole city-region; therefore, it should be given more attention when adopting strategies and decisions. Finally, this study can offer substantial assistance to authorities and the decision-makers by employing a flexible and adjustable framework.
Exceptional points in the microcavity with phonon pump enhance the transparency and slow light
Authors: Xie Bao-Hao , Chen Hua-Jun
Published: October 2024

We theoretically investigated optomechanically induced transparency (OMIT) and slow light in a microcavity optomechanical system containing three nanoparticles, where the pump-probe field drives the cavity and a weak phonon pump drives the mechanical resonator. When the phonon pump frequency matches the pump-probe field frequency difference, adjusting the phonon pump's amplitude and phase can result in the transparency window exceeding unity. Tuning the relative positions of nanoparticles can periodically steer the system to exceptional points (EPs), further enhancing and modulating the transparency window. Furthermore, the phonon pump causes the phase dispersion at the transparency window to become highly steep, resulting in a large value and tunable group delay. Notably, when the system is at EPs, the slow light can be enhanced by approximately two times compared to when the system is not at EPs. Our research demonstrates a way to control optical transmission with potential applications in quantum communications and optical buffers.
Enhancing steering angle in liquid crystal beam-steering devices with wideband performance
Authors: Inoue Yo , Shikada Tateaki , Moritake Hiroshi
Published: October 2024

Previous studies have demonstrated the refraction-type liquid crystal (LC)-based beam-steering devices within the visible wavelength range. However, these devices require substantial improvements in a steering angle for practical application. In this study, we first demonstrate that our device operates as a beam-steering device regardless of the wavelength of an incident laser beam. Furthermore, the steering angle can be improved by increasing the refractive index gradient and stacking four cells, increasing the steering angle by 10-fold.
Impaired motor-to-sensory transformation mediates auditory hallucinations
Authors: Yang Fuyin , Zhu Hao , Cao Xinyi , Li Hui , Fang Xinyu , Yu Lingfang , Li Siqi , Wu Zenan , Li Chunbo , Zhang Chen , Tian Xing
Published: October 2024

Distinguishing reality from hallucinations requires efficient monitoring of agency. It has been hypothesized that a copy of motor signals, termed efference copy (EC) or corollary discharge (CD), suppresses sensory responses to yield a sense of agency; impairment of the inhibitory function leads to hallucinations. However, how can the sole absence of inhibition yield positive symptoms of hallucinations? We hypothesize that selective impairments in functionally distinct signals of CD and EC during motor-to-sensory transformation cause the positive symptoms of hallucinations. In an electroencephalography (EEG) experiment with a delayed articulation paradigm in schizophrenic patients with (AVHs) and without auditory verbal hallucinations (non-AVHs), we found that preparing to speak without knowing the contents (general preparation) did not suppress auditory responses in both patient groups, suggesting the absent of inhibitory function of CD. Whereas, preparing to speak a syllable (specific preparation) enhanced the auditory responses to the prepared syllable in non-AVHs, whereas AVHs showed enhancement in responses to unprepared syllables, opposite to the observations in the normal population, suggesting that the enhancement function of EC is not precise in AVHs. A computational model with a virtual lesion of an inhibitory inter-neuron and disproportional sensitization of auditory cortices fitted the empirical data and further quantified the distinct impairments in motor-to-sensory transformation in AVHs. These results suggest that “broken” CD plus “noisy” EC causes erroneous monitoring of the imprecise generation of internal auditory representation and yields auditory hallucinations. Specific impairments in functional granularity of motor-to-sensory transformation mediate positivity symptoms of agency abnormality in mental disorders.
Pattern detection in bipartite networks: A review of terminology, applications, and methods
Authors: Neal Zachary P. , Cadieux Annabell , Garlaschelli Diego , Gotelli Nicholas J. , Saracco Fabio , Squartini Tiziano , Shutters Shade T. , Ulrich Werner , Wang Guanyang , Strona Giovanni
Published: October 2024

Rectangular association matrices with binary (0/1) entries are a common data structure in many research fields. Examples include ecology, economics, mathematics, physics, psychometrics, and others. Because their columns and rows are associated to distinct entities, these matrices can be equivalently expressed as bipartite networks that, in turn, can be projected onto pairs of unipartite networks. A variety of diversity statistics and network metrics can be used to quantify patterns in these matrices and networks. But, to be defined as such, what should these patterns be compared to? In all of these disciplines, researchers have recognized the necessity of comparing an empirical matrix to a benchmark ensemble of ‘null’ matrices created by randomizing certain elements of the original data. This common need has nevertheless promoted the independent development of methodologies by researchers who come from different backgrounds and use different terminology. Here, we provide a multidisciplinary review of randomization techniques and null models for matrices representing binary, bipartite networks. We aim at translating concepts from different technical domains to a common language that is accessible to a broad scientific audience. Specifically, after briefly reviewing examples of binary matrix structures encountered across different fields, we introduce the major approaches and strategies for randomizing these matrices. We then explore the details of and performance of specific techniques and discuss their limitations and computational challenges. In particular, we focus on the conceptual importance and implementation of structural constraints on the randomization, such as preserving row and/or columns sums of the original matrix in each of the randomized matrices. Our review serves both as a guide for empiricists in different disciplines, as well as a reference point for researchers working on theoretical and methodological developments in matrix randomization methods.
STAREG: Statistical replicability analysis of high throughput experiments with applications to spatial transcriptomic studies
Authors: Li Yan , Zhou Xiang , Chen Rui , Zhang Xianyang , Cao Hongyuan
Published: October 2024

Replicable signals from different yet conceptually related studies provide stronger scientific evidence and more powerful inference. We introduce STAREG, a statistical method for replicability analysis of high throughput experiments, and apply it to analyze spatial transcriptomic studies. STAREG uses summary statistics from multiple studies of high throughput experiments and models the the joint distribution of p-values accounting for the heterogeneity of different studies. It effectively controls the false discovery rate (FDR) and has higher power by information borrowing. Moreover, it provides different rankings of important genes. With the EM algorithm in combination with pool-adjacent-violator-algorithm (PAVA), STAREG is scalable to datasets with millions of genes without any tuning parameters. Analyzing two pairs of spatially resolved transcriptomic datasets, we are able to make biological discoveries that otherwise cannot be obtained by using existing methods.
Evaluation of Aedes aegypti control intervention with pyriproxyfen by lcWGS in Manacapuru, Amazonas, Brazil
Authors: Leles Lorena Ferreira de Oliveira , Niz Alvarez Marcus Vinicius , Cortés Jose Joaquin Carvajal , Alonso Diego Peres , Ribolla Paulo Eduardo Martins , Luz Sérgio Luiz Bessa
Published: October 2024

Background

Ae. aegypti mosquitoes are considered a global threat to public health due to its ability to transmit arboviruses such as yellow fever, dengue, Zika and Chikungunya to humans. The lack of effective arboviral vaccines and etiological treatments make vector control strategies fundamental in interrupting the transmission cycle of these pathogens. This study evaluated Ae. aegypti mosquito populations pre- and post-intervention period with disseminating stations of the larvicide pyriproxyfen to understand its potential influence on the genetic structure and population diversity of these vectors.

Methodology/Principal findings

This study was conducted in Manacapuru city, Amazonas, Brazil, where 1,000 pyriproxyfen dissemination stations were deployed and monitored from FEB/2014 to FEB/2015 (pre-intervention) and AUG/2015 to JAN/2016 (post-intervention). Low-coverage whole genome sequencing of 36 individuals was performed, revealing significant stratification between pre- and post-intervention groups (pairwise FST estimate of 0.1126; p-value < 0.033). Tajima’s D estimates were -3.25 and -3.07 (both p-value < 0.01) for pre- and post-intervention groups, respectively. Molecular diversity estimates (Theta(S) and Theta(Pi)) also showed divergences between pre- and post-intervention groups. PCA and K-means analysis showed clustering for SNP frequency matrix and SNP genotype matrix, respectively, being both mainly represented by the first principal component. PCA and K-means clustering also showed significant results that corroborate the impact of pyriproxyfen intervention on genetic structure populations of Ae. aegypti mosquitoes.

Conclusions/Significance

The results revealed a bottleneck effect and reduced mosquito populations during intervention, followed by reintroduction from adjacent and unaffected populations by this vector. We highlighted that low-coverage whole genome sequencing can contribute to genetic and structure population data, and also generate important information to aid in genomic and epidemiological surveillance.
Involvement of INS15 in the development and pathogenicity of the zoonotic pathogen Cryptosporidium parvum
Authors: He Wei , Cui Hao , Li Na , Guo Yaqiong , Zeng Songrong , Feng Yaoyu , Xiao Lihua , Xu Rui
Published: October 2024

Background

Cryptosporidium parvum is a common protozoan pathogen responsible for moderate to severe diarrhea in humans and animals. The C. parvum genome contains 22 genes encoding insulinase-like M16 proteases (INS) with diverse structures and sequences, suggesting that members of the protein family may have distinct biological functions in the life cycle of parasites. Here, we investigated the role of INS15 and INS16, two proteases encoded by neighboring genes with high sequence identity, in the growth and development of C. parvum in vivo and in vitro.

Methodology/Principal findings

INS15 and INS16 genes were tagged and knocked out using CRISPR/Cas9 technology in C. parvum IIdA20G1-HLJ isolate. The expression of INS15 and INS16 was determined by immunofluorescence analysis and immunoelectron microscopy. The effect of depletion of INS15 and INS16 on parasite growth and pathogenicity were assessed on HCT-8 cells and in interferon-γ knockout mice. Endogenous tagging showed that INS15 and INS16 expressed in the oocyst, trophozoite, meront and female gametes. INS15 also expressed in male gamonts, while INS16 was not detected in the male gamonts. Although depletion of the INS15 or INS16 gene affected late development of C. parvum in vitro, only depletion of INS15 significantly reduced parasite burden in infected mice. Mice infected with the INS15-depleted strain had reduced clinical signs, body weight, intestinal villus length to crypt height ratio, and survival time compared to infected with the tagging mutant.

Conclusions/Significance

The results of this study indicate that INS15 is mainly involved in the late development of C. parvum. Depletion of this gene attenuates the pathogenicity of this important zoonotic parasite.
Phage libraries screening on P53: Yield improvement by zinc and a new parasites-integrating analysis
Authors: Ben Abid Sihem , Ketata Emna , Yacoubi Ines , Djemal Lamia , Abdelmoula-Souissi Salma , Koubaa Aida , Mokdad-Gargouri Raja , Gargouri Ali
Published: October 2024

P53 is a transcription factor that controls a variety of genes, primarily involved in cell cycle and other processes related to cell survival and death. We have isolated peptides targeting P53 (protein and domains) using the “phage display” technique. Interestingly, adding ZnCl2 at 5–10 mM in panning solutions helped to recover more plaque-forming units at least at round one of the screening. Subtractive docking analyses were designed by using a pool of common redundant peptides known asparasites. This rationale helped us differentiate between possibly specific and non-specific bindings. We found notable differences in docking characteristics between different sets of peptides either related to different targets or related to zinc-conditions. The set of zinc-related peptides shows advantageous docking profiles: sharper binding for some positions and distinct exclusive bound residues, including the relevant R248 and R273. Zinc would have modulating/helping role in the targeting of protein P53 by phage displayed peptides in addition to an enhancement action on bacterial infection.
High blood eosinophils predict the risk of COPD exacerbation: A systematic review and meta-analysis
Authors: Chen Fangying , Yang Mei , Wang Hao , Liu Lian , Shen Yongchun , Chen Lei
Published: October 2024

Background

The association between blood eosinophils and COPD exacerbation has been controversial. This study aims to investigate whether high blood eosinophils predict the risk of COPD exacerbation across different thresholds and subgroups.

Methods

PubMed, Embase and Web of science were searched for randomized controlled trial (RCT) and observational studies regarding the relationship between blood eosinophils and COPD exacerbation. Pooled risk ratio (RR) for COPD exacerbation was calculated using the Mantel-Haenszel method with a random-effects model.

Results

A total of 21 studies (1 RCT and 20 observational studies) with 79868 participants were included. Thresholds of high blood eosinophils including absolute counts (200, 300 and 400 cell/μL) and percentages (2%, 3% and 4%) were analyzed respectively. Pooled analyses suggested that high blood eosinophils were significantly associated with increased risk of COPD exacerbation when using the thresholds of 300 cells/μL (RR 1.21, 95%CI 1.12–1.30, P <0.001, 16 studies), 400 cells/μL (RR 1.79, 95%CI 1.41–2.28, P <0.001, 3 studies), 2% (RR 1.26, 95%CI 1.02–1.55, P = 0.030, 10 studies) and 4% (RR 1.44, 95%CI 1.05–1.96, P = 0.022, 4 studies), but not 200 cells/μL and 3% (P>0.05). Moreover, high blood eosinophils contributed to moderate-severe exacerbation of COPD by the cutoffs of 300 cells/μL (RR 1.30, 95%CI 1.16–1.45, P<0.001, 11 studies) and 2% (RR 1.33, 95%CI 1.02–1.76, P = 0.037, 8 studies). In subgroup analyses, the pooled results further showed a significant association between high blood eosinophils (especially over 300 cells/μL) and risk of COPD exacerbation among patients from Europe and Asia, and whether with stable or exacerbation phase at baseline, and regardless of the follow-up time (≤ or > 1year).

Conclusions

This study demonstrates that high blood eosinophils (over 300 cells/μL or 2%) could predict the risk of moderate-severe exacerbation of COPD in specific subgroups. However, large sample-sized, prospective, and well-designed studies are required to validate the present findings.
Ovine tricuspid annular dynamics and three-dimensional geometry during acute atrial fibrillation
Authors: Kania-Olejnik Paulina , Malinowski Marcin , Rausch Manuel K. , Timek Tomasz A.
Published: October 2024

Objectives

Long-standing atrial fibrillation (AF) may lead to tricuspid regurgitation (TR) and right ventricular dysfunction. However, the effect of acute AF on tricuspid annular (TA) dynamics and three-dimensional geometry is unknown.

Methods

In eight adult sheep, sonomicrometry crystals were implanted around the tricuspid annulus and right ventricular free wall. Pressure transducers were placed in the right ventricle, left ventricle, and right atrium. After weaning from cardiopulmonary bypass and a period of hemodynamic stabilization, simultaneous sonomicrometry and hemodynamic data were collected in sinus rhythm (SR) and during experimental AF (400b/min right atrial pacing). Annular area, perimeter, dimensions, height, global and regional annular contraction, and strain were calculated based on cubic spline fits to crystal 3D locations.

Results

Maximal TA area increased from 1084.9±273.9mm2 in SR to 1207.5±322.1mm2 during AF (p = 0.002). Anteroposterior diameter increased from 36.5±5.0mm to 38.4±5.5mm (p = 0.05). TA contraction decreased from 7±2% in SR to 2±1% in AF (p = 0.001). Anterior, posterior, and septal regional annular contraction decreased from 10±4%, 8±3% and 6±2% to 4±2%, 3±1% and 2±1% for SR and AF, respectively (p<0.05). AF perturbed systolic global annular strain (from -6.52±1.74% to -2.78±1.79%; p = 0.003) and caused annular stretch. Annular height marginally decreased with AF from 5.8±1.9mm to 5.7±2.0mm; p = 0.039.

Conclusions

Acute experimental AF in healthy sheep was associated with TA dilation, flattening, and decreased total and regional annular contractility. These data may help elucidate the pathophysiology of functional TR associated with AF.
Asymptomatic bacteriuria and its associated fetomaternal outcomes among pregnant women delivering at Bugando Medical Centre in Mwanza, Tanzania
Authors: Mayomba Colman , Matovelo Dismas , Kiritta Richard , Kashinje Zengo , Seni Jeremiah
Published: October 2024

Background

Asymptomatic bacteriuria (ASB) affects 23.9% of pregnant women globally and, if left untreated, can lead to adverse fetomaternal outcomes. In Tanzania, ASB prevalence has ranged from 13% to 17% over the past decade. Yet, its impact on fetomaternal outcomes remains unexplored, hindering the development of screening strategies, antimicrobial therapies, and preventive measures for this vulnerable population.

Methods

A cross-sectional analytical study was conducted on 1,093 pregnant women admitted for delivery at Bugando Medical Center (BMC) in Mwanza, Tanzania, from July to December 2022. Socio-demographic, obstetric, and clinical data were collected from the women, along with mid-stream urine samples for analysis. Fetomaternal outcomes were assessed within 72 hours after delivery.

Results

The median age of participants was 29 years (range: 15–45 years). ASB prevalence among pregnant women was 16.9% (185/1093), with a 95% CI of 14.6–19.3%. Risk factors for ASB included anemia (OR: 5.3; 95% CI = 3.7–8.2, p-value <0.001) and a history of antenatal care admission (OR 4.2; 95% CI = 2.9–6.1, p-value <0.001). Among all participants, 82 (7.5%), 65 (5.9%), 49 (4.5%), and 79 (7.2%) experienced pre-term labor (PTL), premature rupture of membrane (PROM), preeclampsia, and delivered newborns with low birthweight (LBW), respectively. Among the 185 patients with ASB, the respective proportions of PTL, PROM, preeclampsia, and LBW were 25.4%, 17.3%, 9.2%, and 12.4%. Multivariable logistic regression analysis revealed significant associations between ASB and PTL [OR (95% CI): 8.8 (5.5–14.5); p-value <0.001], PROM [OR (95% CI): 4.5 (2.5–8.0); p-value <0.001], and LBW [OR (95% CI): 2.0 (1.2–3.5); p-value = 0.011]. Escherichia coli (50.8%) and Klebsiella pneumoniae (14.05%) were the most common pathogens, with low resistance rates to nitrofurantoin, amoxicillin-clavulanate, and cephalosporins—antibiotics considered safe during pregnancy—ranging from 8.2% to 31.0%.

Conclusion

The prevalence of ASB among pregnant women in Tanzania remains high and is associated with adverse fetomaternal outcomes. Integrating routine urine culture screening for all pregnant women, irrespective of symptoms, and providing specific antimicrobial therapies during antenatal care can help prevent adverse pregnancy outcomes.
Fermentation and its effect on the physicochemical and sensory attributes of cocoa beans in the Colombian Amazon
Authors: González Andrés Felipe Ramírez , García Gustavo Adolfo Gutiérrez , Polanía-Hincapié Paola Andrea , López Luis Javier , Suárez Juan Carlos
Published: October 2024

Cocoa (Theobroma cacao L.) is the basic raw material to produce chocolate and other derivatives such as cocoa butter, cocoa powder and cocoa liquor (cocoa paste), which requires a fermentation process that affects its chemical composition and sensory profile. The objective of this study was to monitor the biochemical, physical and sensory changes during fermentation of cocoa beans in cocoa bean processing plants in the department of Caquetá, Colombia. During fermentation, the temperature of the mass and the pH of the pulp and beans were monitored at the different cocoa bean processing plants (Sites ASOACASAN ASA, COMICACAO CMI, COMCAP COC). Also, at two points during fermentation (days 4 and 7), physical properties of the bean were determined, such as variables related to bromatological composition, polyphenolic compounds and antioxidant activity as sensory attributes at the different sites. An increase in dough temperature was found, however the pH of the cotyledon decreased during the fermentation process and the fat and moisture content varied with fermentation time. At the site level, total polyphenol content (TPC), total flavonoids (TF), 1,1-diphenyl-2-picrylhydrazil (DPPH) and ferric reducing antioxidant power (FRAP) contents were statistically different, with COC being different from the other sites. The TPC was higher at the COC site (507 mg gallic acid equivalent GAE/g Cocoa) with respect to the other sites (< 360 mg GAE/g Cocoa). The TF content followed a similar behavior to TPC, with significant differences between sites and differences between fermentation times for ASA. The TF was higher in COC (309.1 mg catechin/g cocoa) with respect to CMI (215.6 mg catechin/g cocoa) and ASA (185.7 mg catechin/g cocoa). Values in DPPH ranged from 5869.3 to 7781.8 μmol Trolox/g cocoa and for the FRAP assay ranged from 369.8 to 606.7 mg ascorbic acid AA/g cocoa among the sites. It was found that the time and management of the fermentation process has a significant impact on the parameters (biochemical, physical and sensory) of cocoa beans. Therefore, it is necessary to standardize the fermentation process to achieve a quality product that meets the needs of the market.
Differential effect of plakoglobin in restoring the tumor suppressor activities of p53-R273H vs. p53-R175H mutants
Authors: Lo Chu Shiun , Alavi Parnian , Bassey-Archibong Blessing , Jahroudi Nadia , Pasdar Manijeh
Published: October 2024

The six most common missense mutations in the DNA binding domain of p53 are known as “hot spots” and include two of the most frequently occurring p53 mutations (p53-R175H and p53-R273H). p53 stability and function are regulated by various post-translational modifications such as phosphorylation, acetylation, sumoylation, methylation, and interactions with other proteins including plakoglobin. Previously, using various carcinoma cell lines we showed that plakoglobin interacted with wild-type and several endogenous p53 mutants (e.g., R280K, R273H, S241F, S215R, R175H) and restored their tumor suppressor activities in vitro. Since mutant p53 function is both mutant-specific and cell context-dependent, we sought herein, to determine if plakoglobin tumor suppressive effects on exogenously expressed p53-R273H and p53-R175H mutants are similarly maintained under the same genetic background using the p53-null and plakoglobin-deficient H1299 cell line. Functional assays were performed to assess colony formation, migration, and invasion while immunoblotting and qPCR were used to examine the subcellular distribution and expression of specific proteins and genes that are typically regulated by or regulate p53 function and are altered in mutant p53-expressing cell lines and tumors. We show that though, plakoglobin interacted with both p53-R273H and p53-R175H mutants, it had a differential effect on the transcription and subcellular distribution of their gene targets and their overall oncogenic properties in vitro. Notably, we found that plakoglobin’s tumor suppressive effects were significantly stronger in p53-R175H expressing cells compared to p53-R273H cells. Together, our results indicate that exploring plakoglobin interactions with p53-R175H may be useful for the development of cancer therapeutics focused on the restoration of p53 function.
Beyond the words: Exploring individual differences in the evaluation of poetic creativity
Authors: Chaudhuri Soma , Pickering Alan , Dooley Maura , Bhattacharya Joydeep
Published: October 2024

Poetry is arguably the most creative expression of language and can evoke diverse subjective experiences, such as emotions and aesthetic responses, subsequently influencing the subjective judgment of the creativity of poem. This study investigated how certain personality traits—specifically openness, intellect, awe-proneness, and epistemic curiosity–influence the relationship between these subjective experiences and the creativity judgment of 36 English language poems. One hundred and twenty-nine participants rated each poem across six dimensions: clarity, aesthetic appeal, felt valence, felt arousal, surprise, and overall creativity. Initially, we obtained a parsimonious model that suggested aesthetic appeal, felt valence, and surprise as key predictors of poetic creativity. Subsequently, using multilevel analysis, we investigated the interactions between the four personality traits and these three predictors. Among the personality traits, openness emerged as the primary moderator in predicting judgments of poetic creativity, followed by curiosity and awe-proneness. Among the predictors, aesthetic appeal was moderated by all four personality traits, while surprise was moderated by openness, awe-proneness, and curiosity. Valence, on the other hand, was moderated by openness only. These findings provide novel insights into the ways individual differences influence evaluations of poetic creativity.
Experiences of internationally educated nurses working with older adults: A scoping review protocol
Authors: Kokorelias Kristina M. , Saragosa Marianne , Abdelhalim Reham , Philippopoulos Eleni , Vo Ann
Published: October 2024

Background

Canada, like many other jurisdictions worldwide, is facing a nursing shortage. At the same time, high-income countries are facing a rapidly ageing and more complex older adult population. Demands for more responsive health care services are driving systems of care to meet the evolving needs of the ageing population. Internationally-educated nurses (IENs) can help fill gaps in the care of older adults, but may need considerable support to work in new social and health care environments. However, the experiences of IENs within the geriatric care literature have not been comprehensively reviewed. This protocol will outline a scoping review to determine: (1) what is known about the experiences and support needs of IENs in geriatric healthcare settings within high income countries? (2) what are current supportive-pathways for IENs in geriatric practice settings? And (3) what are the research gaps in the existing literature on the experiences and support needs of IENs within the context of geriatrics?

Methods

A scoping review will be conducted guided by the methodological framework set out by Arksey and O’Malley (2005) and later advanced by Levac, Colquhoun and O’Brien (2010). The search strategy will be applied to seven databases (MEDLINE, PubMed (non-MEDLINE records), PsycINFO, PsychArticles, CINAHL, Scopus, Web of Science). Grey literature will be searched using Google search engines, targeted websites and consultation with content experts. Articles of any publication date will be included. A two-stage screening process will be conducted in duplicate (i.e., two reviewers per stage) to determine eligible articles. Data from eligible articles will be extracted using a piloted charting form. Extracted data will be analyzed using thematic and descriptive analyses.

Discussion

The findings of the upcoming will highlight opportunities and recommendations to inform future research and support training to support IENs working with older adults within high income countries. Publication, presentations and stakeholder meetings will disseminate our findings.
Strategies for equity, diversity and inclusion in geriatric healthcare professional curricula: A scoping review protocol
Authors: Kokorelias Kristina M. , Chau Vicky , Wijekoon Sachindri , Singh Hardeep , Harris Maurita T.
Published: October 2024

Introduction

The pursuit of Equity, Diversity and Inclusion (EDI) in healthcare education has garnered significant attention in recent years, reflecting a broader societal imperative for equitable healthcare delivery. However, existing curricula within geriatric healthcare education may not adequately address these diverse needs within their educational frameworks, inadvertently resulting in disparities in care delivery and outcomes. Within the realm of geriatric healthcare, addressing EDI is particularly crucial due to the diverse needs of older adult populations and the imperative for healthcare professionals to deliver culturally humble care. This review provides a comprehensive overview of strategies and curricular strategies, actions and/or initiatives to promote EDI within geriatric healthcare professional education.

Methods

This paper presents a protocol for a forthcoming scoping review. The methodology for this scoping review adheres to the framework outlined in the Joanna Briggs Institute (JBI) Manual, encompassing four main stages: (1) formulation of a search strategy, (2) screening and selection of evidence, (3) data extraction, and (4) analysis. We will conduct a comprehensive search of peer-reviewed and empirical literature. Additionally, we will explore the reference lists of included studies to identify any relevant sources. The synthesis of findings will be conducted through a narrative approach. Reporting of the methods and results will adhere to the guidelines provided by the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR).

Discussion

Healthcare professionals must possess the knowledge, skills, and attitudes necessary to deliver culturally humble care that respects and responds to diverse older adults’ unique needs and preferences. The review aims to fill a crucial gap in the literature by providing a comprehensive overview of strategies and curricular interventions designed to promote EDI within geriatric healthcare professional education. By mapping these strategies, actions and/or initiatives, the review seeks to identify trends, challenges, and opportunities for advancing EDI within geriatric care. The forthcoming review serves as a call to action for educators, healthcare institutions, and decision makers to prioritize EDI within geriatric healthcare education. The review identifies effective strategies and interventions for promoting EDI, providing actionable insights to inform the development of inclusive curricula, training programs, and institutional policies, which can contribute to cultivating a healthcare workforce better equipped to address the complex and evolving needs of aging populations equitably and compassionately.
Stimulus intensity and temporal configuration interact during bimodal learning and memory in honey bees
Authors: Gil-Guevara Oswaldo , Riveros Andre J.
Published: October 2024

Multimodal integration is a core neural process with a keen relevance during ecological tasks requiring learning and memory, such as foraging. The benefits of learning multimodal signals imply solving whether the components come from a single event. This challenge presumably depends on the timing and intensity of the stimuli. Here, we used simultaneous and alternate presentations of olfactory and visual stimuli, at low and high intensities, to understand how temporal and intensity variations affect the learning of a bimodal stimulus and its components. We relied on the conditioning of the proboscis extension response (PER) to train honey bees to an appetitive learning task with bimodal stimuli precisely controlled. We trained bees to stimuli with different synchronicity and intensity levels. We found that synchronicity, order of presentation, and intensity significantly impacted the probability of exhibiting conditioned PER responses and the latency of the conditioned responses. At low intensities, synchronous bimodal inputs produced maximal multisensory enhancement, while asynchronous temporal orders led to lower performances. At high intensities, the relative advantage of the synchronous stimulation diminished, and asynchronous stimuli produced similar performances. Memory retention was higher for the olfactory component and bimodal stimuli compared to the visual component, irrespective of the training’s temporal configuration. Bees retained the asynchronous bimodal configuration to a lesser extent than the synchronous one, depending on the stimulus intensity. We conclude that time (synchrony), order of presentation, and intensity have interdependent effects on bee learning and memory performance. This suggests caution when assessing the independent effects of each factor.
Morphological and genetic identification of Halophila species and a new distribution record of Halophila nipponica at the Tanjung Adang Laut shoal, Johor, Malaysia
Authors: Che Alias Muhammad Afif , Zakaria Muta Harah , Ramaiya Shiamala Devi , Esa Yuzine , Ab. Ghani Nurul Izza , Bujang Japar Sidik
Published: October 2024

The Halophila species exhibit complex characteristics due to their high degree of variation across different bioregions. This study delves into the intricate characteristics of Halophila species in the Tanjung Adang Laut shoal, Johor, Malaysia, and offers valuable insights through morphological and genetic evidence. Employing internal transcribed sequences (ITS), we investigated the phylogeny of Halophila species, revealing distinct clades for H. ovalis, H. major, H. spinulosa, and the newly recorded H. nipponica. Notably, H. nipponica from the Tanjung Adang Laut shoal formed a conspecific relationship with its counterparts from Japan and Korea (98.3–98.5% similarity; 5–11 bp differences). Morphologically, distinguishing features, including the ratio of the half-lamina width (1:4.76–6.13 mm) and cross-vein count (4–7 pairs), supported the identification of H. nipponica. Genetic distance analyses revealed differences between H. nipponica, H. ovalis, and H. major, indicating haplotype diversity. Geographical variations were evident, as H. nipponica presented unique haplotypes (H24) in its clade. The 47 haplotypes network identified significant mutation sites, providing a comprehensive understanding of genetic and morphological distinctions. In conclusion, this study highlights the intricate characteristics and phylogeny of Halophila species in the Tanjung Adang Laut shoal, Johor, and provides valuable insights into their genetic and morphological diversity.
The box office prediction model based on the optimized XGBoost algorithm in the context of film marketing and distribution
Authors: Tang Shenglan
Published: October 2024

To improve the accuracy and efficiency of box office prediction, this study deeply discusses the application of the optimized eXtreme Gradient Boosting (XGBoost) model in this scenario and its advantages compared with other commonly used machine learning models. By comparing and analyzing five models, involving the Deep Neural Network, Light Gradient Boosting Machine, Random Forest, Gradient Boosting Decision Tree, and CatBoost, several key performance indicators such as accuracy, precision, recall, F1 score, generalization error, stability, robustness, and adaptability score are comprehensively investigated. The research results reveal that the optimization model proposed in this study is superior to the comparison model in most evaluation indicators, especially when the data volume reaches 2500, showing obvious advantages. For example, the accuracy is increased to 0.9, the F1 score is 0.9, the generalization error is reduced to 0.09, and the stability score is as high as 0.98. The robustness and adaptability scores are both 0.97, which proves its strong prediction ability and high stability and robustness on large-scale datasets. Therefore, this study provides scientific data support and a decision-making basis for the film industry in the formulation of marketing and distribution strategies. Moreover, film producers and distributors can reasonably estimate their market performance early in film shooting, optimize investment decisions, and reduce economic risks through accurate box office predictions.
Design of image segmentation model based on residual connection and feature fusion
Authors: Li Hong , Hussin Norriza , He Dandan , Geng Zexun , Li Shengpu
Published: October 2024

With the development of deep learning technology, convolutional neural networks have made great progress in the field of image segmentation. However, for complex scenes and multi-scale target images, the existing technologies are still unable to achieve effective image segmentation. In view of this, an image segmentation model based on residual connection and feature fusion is proposed. The model makes comprehensive use of the deep feature extraction ability of residual connections and the multi-scale feature integration ability of feature fusion. In order to solve the problem of background complexity and information loss in traditional image segmentation, experiments were carried out on two publicly available data sets. The results showed that in the ISPRS Vaihingen dataset and the Caltech UCSD Birds200 dataset, when the model completed the 56th and 84th iterations, respectively, the average accuracy of FRes-MFDNN was the highest, which was 97.89% and 98.24%, respectively. In the ISPRS Vaihingen dataset and the Caltech UCSD Birds200 dataset, when the system model ran to 0.20s and 0.26s, the F1 value of the FRes-MFDNN method was the largest, and the F1 value approached 100% infinitely. The FRes-MFDNN segmented four images in the ISPRS Vaihingen dataset, and the segmentation accuracy of images 1, 2, 3 and 4 were 91.44%, 92.12%, 94.02% and 91.41%, respectively. In practical applications, the MSRF-Net method, LBN-AA-SPN method, ARG-Otsu method, and FRes-MFDNN were used to segment unlabeled bird images. The results showed that the FRes-MFDNN was more complete in details, and the overall effect was significantly better than the other three models. Meanwhile, in ordinary scene images, although there was a certain degree of noise and occlusion, the model still accurately recognized and segmented the main bird images. The results show that compared with the traditional model, after FRes-MFDNN segmentation, the completeness, detail, and spatial continuity of pixels have been significantly improved, making it more suitable for complex scenes.
Up for the challenge: Power motive congruence drives nurses to craft their jobs and experience well-being
Authors: Ghazzawi Rawan , Chasiotis Athanasios , Bender Michael , Daouk-Öyry Lina , Baumann Nicola
Published: October 2024

Job crafting is the behavior that employees engage in to create personally better fitting work environments, for example, by increasing challenging job demands. To better understand the driving forces behind employees’ engagement in job crafting, we investigated implicit and explicit power motives. While implicit motives tend to operate at the unconscious, explicit motives operate at the unconscious level. We focused on power motives, as power is an agentic motive characterized by the need to influence your environment. Although power is relevant to job crafting in its entirety, in this study, we link it to increasing challenging job demands due to its relevance to job control, which falls under the umbrella of power. Using a cross-sectional design, we collected survey data from a sample of Lebanese nurses (N = 360) working in 18 different hospitals across the country. In both implicit and explicit power motive measures, we focused on integrative power that enable people to stay calm and integrate opposition. The results showed that explicit power predicted job crafting (H1) and that implicit power amplified this effect (H2). Furthermore, job crafting mediated the relationship between congruently high power motives and positive work-related outcomes (H3) that were interrelated (H4). Our findings unravel the driving forces behind one of the most important dimensions of job crafting and extend the benefits of motive congruence to work-related outcomes.
Compounding impacts of COVID-19, cyclone and price crash on vanilla farmers’ food security and natural resource use
Authors: Rakoto Harison Henintsoa , Herrera James P. , Rakotonarivo O. Sarobidy
Published: October 2024

The intersection of the COVID-19 pandemic with other crises can amplify vulnerabilities and push communities further into poverty. In low-income countries, the dual impacts of COVID-19 and extreme weather events, along with multidimensional poverty and structural vulnerabilities in agriculture can decimate farmer livelihoods. This study aims to understand the effects of individual and compounding crises (COVID-19, cyclones, and vanilla price collapse) on smallholder vanilla farmers and local coping strategies in Madagascar, one of the world’s largest vanilla producers and poorest countries. We used semi-structured and scenario-based interviews across two case study villages with contrasting enforcement of forest regulations. We found that the impact of the pandemic, combined with the cyclone event, disrupted livelihoods, resulting in income losses and food security challenges that exacerbated farmer vulnerabilities. Sixty eight percent of households reported crop losses due to strong winds and heavy rainfall brought by cyclone Enawo in 2017. The COVID-19 outbreak struck the region just as the residents were recovering from the effects of the cyclone. COVID-19-related travel restrictions in the aftermath of the cyclone took a substantial economic toll, with 54.1% of respondents experiencing a decline in earnings, and 17% facing a total loss of income due to the imposed lockdown. The decline in vanilla prices at the onset of 2020 had a far-reaching additional impact, affecting not only farmers but also residents who rely on other sources of income. Local communities reported using the forest resources more frequently as a safety net during crises in the village with more lenient regulations. This study underscores the importance of understanding the interconnectedness and compounding impacts of cascading crises on food security and natural resource use. We highlight the need for a comprehensive approach to increasing farmer resilience, particularly for those reliant on global market crops such as vanilla.
What is the best strategy for iron deficiency anemia prevention and control in Iran? a policy analysis study protocol
Authors: Dehghani Azadeh , Rafraf Maryam , Mohammadi-Nasrabadi Fatemeh , Khodayari-zarnaq Rahim
Published: October 2024

Background

The present study is a type of exploratory qualitative studies and applied research. The approach of this study is a prospective policy analysis in which we will formulate appropriate policy options to prevent and control iron deficiency anemia in Iran.

Methods and materials

Current study is a multi-method research with an analysis for policy approach containing three phases. First, through a literature review study, policies, programs and interventions of different countries to control and prevent anemia caused by iron deficiency will be identified. Then, in the qualitative phase of the study, the challenges, barriers, facilitators of the policies and programs implemented and ongoing in Iran will be examined. The content and policy-making process, as well as the context and role of stakeholders and actors will be analyzed using the framework of the policy triangle and analysis of the policy process using the Kingdon’s multiple streams model. Then, the proposed initial policy options will be developed. In the next phase, an expert panel contain experts, authorities and policymakers will be formed and the proposed options will be reviewed and categorized. In order to prioritize policy options and evaluate their feasibility in Iran, the Delphi technique and the policy options analysis framework of the Centers for Disease Control and Prevention (CDC) will be used. At the end, policy options will be selected based on the highest score and will be presented as appropriate policy options.

Conclusion

Prospective policy analysis allows the selection of potentially practical and effective policy options to control iron deficiency anemia. The findings of current study will be presented as reports and research articles for policy makers.