bluuebunny/crossref_metadata_2025 huggingface dataset:
The psychological empowerment and quality of work life among Jordanian primary care nurses and midwives
Authors: Al-Obiedat Asem Mohammad , Allari Rabia S. , Gharaibeh Muntaha K.
Published: November 2024

Introduction

The healthcare industry, particularly in the context of primary care, presents various challenges to nurses and midwives, influencing their psychological empowerment (PE) and quality of work life (QWL).

Objective

This study’s objective is to assess the levels of PE and QWL among Jordanian primary care nurses and midwives and explore the relationship between PE and QWL.

Methods

Utilizing a descriptive correlational design, the study included 273 Jordanian primary care nurses and midwives through convenience sampling. The Psychological Empowerment Instrument and Brook’s Quality of Nursing Work Life Survey were used to measure PE and QWL. Data was analyzed using descriptive statistics to describe the study participant’s characteristics and inferential analysis such as Pearson correlation, and multiple regression to examine relationships and identify predictors of study variables.

Results

The study found that the QWL scale had high reliability (Cronbach’s alpha = 0.954), and similarly, the PE scale demonstrated strong reliability (Cronbach’s alpha = 0.948). Moving on to the core findings, significant positive correlations were identified between PE and QWL, with a correlation coefficient of r = 0.568 (p < 0.01), indicating that higher levels of psychological empowerment were associated with better quality of work life. Furthermore, the regression analysis revealed that PE accounted for approximately 32.3% of the variability in QWL scores. Interestingly, participants holding diplomas reported the highest QWL scores (mean = 136.14), while those contemplating leaving the nursing profession displayed significantly lower QWL scores (mean = 114.14). No significant correlations were found between PE and sociodemographic variables such as age, income, and years of experience.

Conclusion

This study reveals a crucial need to enhance PE and QWL. Key findings show moderate PE and QWL levels, with variations based on educational background and workplace. The positive correlation between PE and QWL identifies the benefits of fostering empowerment through professional development, job autonomy, and decision-making. These insights are vital for improving nursing practice and policy and enhancing nurse satisfaction and patient care.
Effectiveness of Tai Chi exercise on balance, falls, and motor function in older adults: a meta-analysis
Authors: Li Liangxing , Guo Shoujun , Ding Bing , Zhang Jinsong
Published: November 2024

Objective

This study systematically evaluated Tai Chi’s effects on balance, fall prevention, and physical function in older adults.

Methods

A comprehensive literature search of PubMed, Web of Science, and EMbase databases included randomized controlled trials published up to August 2024. The meta-analysis used RevMan 5.4 and applied the GRADE framework to assess evidence quality.

Results

Twenty-two studies met the criteria. Tai Chi significantly improved balance and physical function, particularly in the Berg Balance Scale (BBS), one-leg standing with eyes closed (OLS-C), and Timed up-and-go test (TUG). Fear of falling (FOF) also reduced, though changes in Tinetti Balance Test (TBT) and Short Physical Performance Battery (SPPB) were not statistically significant.

Conclusion

Tai Chi effectively enhances balance and physical function in older adults, with notable potential for fall risk reduction. While some tests showed no significant effect, overall results support Tai Chi as a valuable intervention to promote older adults’ health.

Systematic review registration

https://inplasy.com/inplasy-2024-8-0082/.
Genomic insights into the cold adaptation and secondary metabolite potential of Pseudoalteromonas sp. WY3 from Antarctic krill
Authors: Wang Yuanyuan , Xie Jinxuan , Feng Zhengqi , Ma Linbo , Wu Wenbo , Guo Changjun , He Jianguo
Published: November 2024

In the Antarctic marine ecosystem, krill play a pivotal role, yet the intricate microbial community intertwined with these diminutive crustaceans remains largely unmapped. In this study, we successfully isolated and characterized a unique bacterial strain, Pseudoalteromonas sp. WY3, from Antarctic krill. Genomic analysis revealed that WY3 harbors a multitude of genes associated with cold shock proteins, oxidoreductases, and enzymes involved in the osmotic stress response, equipping it with a robust molecular arsenal to withstand frigid Antarctic conditions. Furthermore, the presence of two distinct biosynthesis-related gene clusters suggests that WY3 has the potential to synthesize diverse secondary metabolites, including aryl polyenes and ribosomally synthesized and post-translationally modified peptides. Notably, the identification of genes encoding enzymes crucial for biological immunity pathways, such as apeH and ubiC, hints at a complex symbiotic relationship between WY3 and its krill host. This comprehensive study highlights the robust potential of WY3 for secondary metabolite production and its remarkable ability to thrive at extremely low temperatures in the Antarctic ecosystem, shedding light on the interplay between culturable microorganisms and their hosts in harsh environments, and providing insights into the underexplored microbial communities associated with Antarctic marine organisms and their role in environmental adaptation and biotechnological applications.
Pseudomonas rhodesiae HAI-0804 suppresses Pythium damping off and root rot in cucumber by its efficient root colonization promoted by amendment with glutamate
Authors: Takeuchi Kasumi , Ogiso Masayo , Ota Arisa , Nishimura Kentaro , Nishino Chihiro , Omori Yasuhiro , Maeda Mitsunori , Mizui Ryousuke , Yamanaka Homare , Ogino Tomokazu , Seo Shigemi
Published: November 2024

Plant diseases caused by soil-borne fungi and oomycetes significantly reduce yield and quality of many crops in the agricultural systems and are difficult to control. We herein examine Pseudomonas rhodesiae HAI-0804, a bacterial biological control agent that was originally developed for control of bacterial diseases on the surface of vegetables, and assessed its efficacy at controlling soil-borne diseases caused by oomycetes. Strain HAI-0804 did not exhibit detectable antibiotic activity toward Pythium ultimum, a causal agent of damping-off and root rot; however, it effectively protected against Pythium damping-off and root rot in cucumber. Exogenous glutamate enhanced the efficacy of biocontrol, the production of siderophore pyoverdine, root colonization in cucumber plants, and the ratio of biofilm formation to planktonic cells. The epiphytic fitness of strain HAI-0804 appears to contribute to plant protection efficacy against a broad spectrum of pathogens for both above-ground plant parts and the rhizosphere.
Comparative genomic analysis uncovered phylogenetic diversity, evolution of virulence factors, and horizontal gene transfer events in tomato bacterial spot Xanthomonas euvesicatoria
Authors: Huang Chien-Jui , Wu Ting-Li , Wu Yu-Lin , Wang Ruei-Shiuan , Lin Yao-Cheng
Published: November 2024

Introduction

Bacterial spot, caused by diverse xanthomonads classified into four lineages within three species, poses a significant threat to global pepper and tomato production. In Taiwan, tomato bacterial spot xanthomonads phylogenetically related to an atypical Xanthomonas euvesicatoria pv. perforans (Xep) strain NI1 from Nigeria were found.

Methods

To investigate the genetic structure of Taiwanese Xep strains and determine the phylogenetic position of the atypical strains, we completed high-quality, gap-free, circularized genomes of seven Taiwanese Xep strains and performed comparative genomic analyses with genomes of X. euvesicatoria pathovars. Average nucleotide identity, core genome analysis, and phylogenomic analysis were conducted.

Results

Three sequenced strains were identified as typical Xep, while four clustered with the atypical strain NI1, forming a distinct genomovar within X. euvesicatoria, proposed as X. euvesicatoria genomovar taiwanensis (Xet). This new lineage likely originated in Taiwan and spread to Nigeria through global seed trade. At the genomovar level, chromosomes remained conserved among Taiwanese strains, while plasmids likely contributed to bacterial virulence, avirulence, and field fitness. Gap-free genomes revealed associations between the evolution of type III effectors, horizontal gene transfer events, plasmid diversity, and recombination.

Discussion

This study highlights the critical roles of horizontal gene transfer and plasmids in shaping the genetic makeup, evolution, and environmental adaptation of plant pathogenic xanthomonads. The identification of a new genomovar, X. euvesicatoria genomovar taiwanensis, provides insights into the diversity and global spread of bacterial spot pathogens through seed trade.
The emerging role of disease-associated microglia in Parkinson’s disease
Authors: Samant Ritika R. , Standaert David G. , Harms Ashley S.
Published: November 2024

Disease-associated microglia (DAM) are a subset of microglia that appear at various stages of central nervous system neurodegenerative diseases. DAM were identified using single-cell RNA sequencing within Alzheimer’s Disease (AD) where they were characterized by their unique localization near amyloid-β plaques and their phagocytic and lipid-metabolizing features. Unfortunately, activation and etiology of DAM are only understood within the context of AD where Triggering Receptor Expressed On Myeloid Cells 2 (TREM2), a receptor for amyloid-β, appears to be the key regulator in microglial transition to a DAM state. Despite this reliance on TREM2 in AD, DAM appear across other neurodegenerative diseases in which TREM2 may not be a critical player. This begs the question of if DAM are truly the same across all neurodegenerative diseases or if there exists a heterogeneity to DAM across neurodegenerative pathologies. Investigation into this critical gap in the field regarding DAM etiology and activation, as well as DAM function, could be delineated utilizing models of Parkinson’s disease (PD) to complement studies in models of AD. Though highly underexplored regarding DAM, PD with its pattern of protein aggregation-associated pathology like AD could serve as the spatiotemporal comparison against AD findings to ascertain the nature of DAM. The experimental vehicle that could guide the future of such investigation is the multi-omics model. With a compound approach focusing on exploring triggers for DAM at the chromatin or mRNA level and related protein output, it becomes possible to strongly characterize and firmly answer the question of what is a DAM.
Trajectory clustering of immune cells and its association with clinical outcomes after aneurysmal subarachnoid hemorrhage
Authors: Won So Young , Kim Museong , Jeong Han-Gil , Yang Bosco Seong Kyu , Choi Huimahn Alex , Kang Dong-Wan , Kim Yong Soo , Kim Young Deok , Lee Si Un , Ban Seung Pil , Bang Jae Seung , Han Moon-ku , Kwon O-Ki , Oh Chang Wan
Published: November 2024

Background and purpose

The immune response following aneurysmal subarachnoid hemorrhage (aSAH) can exacerbate secondary brain injury and impact clinical outcomes. As the immune response after aSAH is a dynamic process, we aim to track and characterize immune cell trajectories over time to identify patterns associated with various clinical outcomes.

Methods

In this retrospective single-center study of patients with aSAH, we analyzed immune cell count trajectories, including neutrophil, monocyte, and lymphocyte counts, collected from day 1 to day 14. These trajectories were classified into four distinct clusters utilizing the k-means longitudinal clustering method. A comprehensive multivariable analysis was performed to explore the associations of these immune cell clusters with various clinical outcomes. These outcomes included a Modified Rankin Scale score (mRS) of 3 to 6, indicative of poor functional outcomes, along with complications including shunt dependency, vasospasm, and secondary cerebral infarction.

Results

In this study, 304 patients with aSAH were analyzed. The trajectories of immune cell counts, including neutrophils, monocytes, and lymphocytes, were successfully categorized into four distinct clusters for each immune cell type. Within neutrophil clusters, both persistent neutrophilia and progressive neutrophilia were associated with poor functional outcomes, shunt dependency, and vasospasm, with resolving neutrophilia showing a lesser degree of these associations. Within monocyte clusters, early monocytosis was associated with vasospasm, whereas delayed monocytosis was associated with shunt dependency. Within lymphocyte clusters, both early transient lymphopenia and early prolonged lymphopenia were associated with poor functional outcomes.

Conclusion

Our study demonstrates that distinct immune cell trajectories post-aSAH, identified through unsupervised clustering, are significantly associated with specific clinical outcomes. Understanding these dynamic immune responses may provide key insights with potential for future therapeutic strategies.
Brain-based correlates of depression and traumatic brain injury: a systematic review of structural and functional magnetic resonance imaging studies
Authors: Baltazar Vanessa A. , Demchenko Ilya , Tassone Vanessa K. , Sousa-Ho Rachel L. , Schweizer Tom A. , Bhat Venkat
Published: November 2024

Introduction

Depression is prevalent after traumatic brain injury (TBI). However, there is a lack of understanding of the brain-based correlates of depression post-TBI. This systematic review aimed to synthesize findings of structural and functional magnetic resonance imaging (MRI) studies to identify consistently reported neural correlates of depression post-TBI.

Methods

A search for relevant published studies was conducted through OVID (MEDLINE, APA PsycINFO, and Embase), with an end date of August 3rd, 2023. Fourteen published studies were included in this review.

Results

TBI patients with depression exhibited distinct changes in diffusion- based white matter fractional anisotropy, with the direction of change depending on the acuteness or chronicity of TBI. Decreased functional connectivity (FC) of the salience and default mode networks was prominent alongside the decreased volume of gray matter within the insular, dorsomedial prefrontal, and ventromedial prefrontal cortices. Seven studies reported the correlation between observed neuroimaging and depression outcomes. Of these studies, 42% indicated that FC of the bilateral medial temporal lobe subregions was correlated with depression outcomes in TBI.

Discussion

This systematic review summarizes existing neuroimaging evidence and reports brain regions that can be leveraged as potential treatment targets in future studies examining depression post-TBI.
Synergistic impact of Composite Dietary Antioxidant Index and physical activity on fatty liver disease
Authors: Gao Linxiao , Fang Haoyu , Zhao Zhibo , Luo Wen , Gong Jianping , Gong Junhua
Published: November 2024

Background

The relationship between dietary antioxidants and fatty liver disease remains a topic of debate. This study aimed to examine the association between the Composite Dietary Antioxidant Index (CDAI) and nonalcoholic fatty liver disease (NAFLD)/metabolic-associated fatty liver disease (MAFLD).

Methods

The study analyzed data from the 2003–2018 cycles of the National Health and Nutrition Examination Survey. The study included 16,321 individuals aged 20–85 years. Food and nutrient intake data were based on the 24-h recall method. Multivariate logistic regression models were employed to examine the relationship between CDAI and NAFLD/MAFLD.

Results

In the fully adjusted multivariate logistic regression model, CDAI demonstrated a significant negative correlation with NAFLD and MAFLD. Mediation analysis showed that inflammatory factors partially mediated the relationship between CDAI and NAFLD/MAFLD prevalence. The combination of high CDAI levels with effective physical activity was associated with a greater reduction in NAFLD/MAFLD prevalence than high CDAI levels alone.

Conclusion

Our study highlighted a negative association between CDAI and NAFLD/MAFLD, mediated by inflammatory factors. Additionally, participants with characteristics of active physical activity and high levels of CDAI were more strongly correlated with the reduced prevalence of NAFLD/MAFLD. Further research in clinical cohorts should be conducted to comprehensively investigate the impact of CDAI on NAFLD/MAFLD prevalence.
Non-adherence to antidementia medications and associated factors: a study of Spanish population-based registry data
Authors: Gutiérrez-Abejón Eduardo , Pedrosa-Naudín M. Aránzazu , Fernández-Lázaro Diego , Díaz Planelles Isabel , Álvarez F. Javier
Published: November 2024

Introduction

With an increasing prevalence, dementia is one of the most disabling diseases among the elderly. Impaired cognitive function and behavioral and psychological symptoms predispose patients to medication non-adherence, resulting in increased morbidity, mortality, and healthcare costs. The aim of this study was to estimate the prevalence of non-adherence to antidementia medications and to identify the main predictors.

Methods

A population-based registry study was conducted in 2022 in Castile and Leon, Spain. A total of 17,563 patients with dementia were included. The medication possession ratio (MPR) was used as an indirect method to measure adherence. The cut-off point for determining that a patient was nonadherent was 80% of MPR. Multivariate logistic regression was used to identify predictors of nonadherence based on sociodemographic and health-related variables.

Results

In 2022, 6.2% of the population over 80 years old used antidementia medications. Of these patients, 70% were women, 28.15% were institutionalized, and over 90% were polymedicated and had multiple prescribers. The most used medicines were donepezil (43.49%), rivastigmine (36.84%), and memantine (30.7%). The combined use of an acetylcholinesterase inhibitor plus memantine was relevant (13.33%). Men were less adherent than women, and the prevalence of non-adherence decreased with age. The medication associated with the highest prevalence of non-adherence was rivastigmine (19%), followed by donepezil (17%) and memantine (13.23%). Institutionalized patients (13%) and patients on combination therapy (13.29%) had the lowest prevalence of non-adherence. Protective factors against non-adherence include institutionalization, polymedication, use of memantine or combination therapy, and comorbid mental illness.

Conclusions

In Castile and Leon, one in six patients were non-adherent to antidementia medications. Younger male patients with cardiometabolic disease are more likely to be non-adherent to antidementia medications. On the other hand, institutionalization is a protective factor against non-adherence, but still 10% of nursing home patients are non-adherent to antidementia medications.
Progress in GABAA receptor agonists for insomnia disorder
Authors: Wang Weiyi , Fu Wanting , Zhu Hongyan , Ma Jing , Zhang Jian , Qi Jia
Published: November 2024

Insomnia is the most common sleep disorder in which an individual has trouble falling or staying asleep. Chronic sleep loss interferes with daily functioning and adversely affects health. The main clinical drugs for insomnia are the positive allosteric modulator of the GABA (gamma-aminobutyric acid) A receptors (GABAARs) at the benzodiazepine site with selectivity of the GABA-α1 receptor. They are divided into benzodiazepine drugs and non-benzodiazepine drugs. Most recently, the first partial positive allosteric modulator of GABAAR Dimdazenil was approved by National Medical Products Administration (NMPA) and launched in China. This review summarized the mechanism of actions of current clinical drugs for insomnia, and the clinical applications of these drugs, which may help to understand their involvement in insomnia, and to search for more selective and potent ligands to be used in the treatment of insomnia.
(De)politicizing water: justice in times of water crisis
Authors: Schubert-Zunker Henriette J. M. , Knappe Henrike
Published: November 2024

In times of climate change, water resources are shrinking at an alarming speed worldwide, making water a focal point of social and political contestation. Essential for environmental and human wellbeing, and economic prosperity, competing demands on water’s finite resources amidst the global water crisis raise critical justice questions regarding allocation, accessibility, legitimate recipients, or prioritized uses. Access to water is deeply intertwined with political decisions, as it heavily depends on infrastructure and governance. Depoliticization, however, renders water issues to technical or economic terms, aligning with neoliberal practices that commodify and privatize water resources. This approach often neglects the inherent political and social dimensions of water, privileging corporate interests while restricting access for the poor and powerless. This article examines how (de)politicization shapes such water realities by applying theoretical perspectives on (de)politicization and environmental justice. Through a systematic literature review and interpretative content analysis, we explore how (de)politicization is conceptualized in scholarly discussions, identifying common themes in the water context, the scales and regions addressed, and the roles of various actors and actions involved. Our research reveals a persistent tension between depoliticization and repoliticization. While depoliticization, though conceptually rather imprecise, obscures accountability and perpetuates neoliberal practices leading to exclusion, repoliticization, driven by activism, addresses policy deficiencies and amplifies marginalized voices. By illuminating these dynamics, this study enhances the understanding of (de)politicization in the water realm and its implications for justice.
Capturing spontaneous interactivity: a multi-measure approach to analyzing the dynamics of interpersonal coordination in dance improvisation
Authors: Whitehead Paige M. , De Jaegher Hanne , Santana Ivani , Todd Rebecca M. , Blain-Moraes Stefanie
Published: November 2024

Introduction

Interpersonal coordination is widely acknowledged as critical to relating with, connecting to, and understanding others, but the underlying mechanisms of this phenomenon are poorly understood. Dance—particularly improvised dance—offers a valuable paradigm for investigating the dynamics of interpersonal coordination due to its inherent ability to connect us. However, conventional approaches to studying coordination often fail to capture the co-creative spontaneity that is intrinsic to such interactions.

Methods

This study combined multiple measures of interpersonal coordination to detect moments of high coordination between two freely improvising dancers. We applied maximum correlation vectors, normalized Symbolic Transfer Entropy (NSTE), and surveys to analyze the time-varying dynamics of similarity in movement speeds, directed influence, and subjective perception of dancers engaged in an improvisation task.

Results

This multi-measure approach offers a means of capturing the interplay between different dimensions of interpersonal coordination.

Discussion

This approach may be used to understand the underlying mechanisms of co-creative social interactions in improvised dance and other forms of spontaneous interactivity.
Genetic overlap between major depressive disorder and obstructive sleep apnea
Authors: Lin Fangbo , Deng Yanyao , Xiao Le , Liu Chao , Li Jie
Published: November 2024

Objective

Observational studies have frequently shown a co-occurrence of psychiatric disorders and Obstructive sleep apnea (OSA), with major depressive disorder (MDD) being a prevalent psychiatric disorder. This study aims to investigate the genetic overlap between MDD and OSA to explore their underlying pathological mechanisms.

Methods

Leveraging the extensive and recent GWAS for OSA and MDD, we conducted genetic correlation analyses utilizing Linkage disequilibrium score regression (LDSC), re-evaluated their pleiotropic Single-nucleotide polymorphisms (SNP) with Cross-Phenotype Association (CPASSOC) and Colocalization (COLOC), investigated the overlap at the gene level using physical annotations and Multi-marker Analysis of GenoMic Annotation (MAGMA), and finally employed Mendelian randomization (MR) to assess potential causal relationships between the two disorders.

Results

Upon our investigation, we established that MDD and OSA exhibit high heritability (h2MDD=0.02, h2OSA=0.04) alongside a significant genetic correlation (rg=0.31, P= 1.42E-23). Utilizing CPASSOC, we identified 397 pleiotropic SNPs, associable with 45 loci, two of which share common genetic fragments with a pleiotropic role. Furthermore, the MAGMA study uncovered a total of 154 pleiotropic genes capable of influencing multiple brain regions. Lastly, leveraging MR analysis, we concluded that MDD heightens the risk of developing OSA (P=3. 10E-04, OR (95%CI):1.28(1.12~ 1.47)).

Conclusion

In summary, our study identified PCLO as a common gene between OSA and MDD and provided evidence that MDD causally contributes to the development of OSA. These insights enhance our understanding of the shared mechanisms underlying the comorbidity of these conditions.
Magnesium depletion score and depression: a positive correlation among US adults
Authors: Zhao Wei , Jin Hai
Published: November 2024

Background

The Magnesium depletion score (MDS) serves as a novel metric for quantifying magnesium deficiency in the human body, comprehensively assessing four indicators: diuretic use, proton pump inhibitor use, estimated glomerular filtration rate, and alcohol abuse. However, there have been no studies examining the potential association between MDS and depression.

Methods

The study population for this cross-sectional study comprised adults from the National Health and Nutrition Examination Survey database from 2009 to 2018. Participants with a score of 10 or above on the Patient Health Questionnaire-9 were defined as having depression. We employed multivariable logistic regression models to investigate the association between MDS and depression. Furthermore, subgroup analyses were conducted to assess potential differences in this association among populations with diverse characteristics.

Results

A total of 13,197 participants were included in this study. After adjusting for all covariates, a significant positive correlation was observed between MDS and depression. Specifically, for every unit increase in MDS, the likelihood of developing depression increased by 13% (OR = 1.13, 95% CI: 1.04–1.22, p = 0.0025). This positive correlation was consistent across MDS groups, with a 19% increase in depression likelihood in the medium group (OR = 1.19, 95% CI: 1.01–1.41, p = 0.0404) and a 58% increase in the high group (OR = 1.58, 95% CI: 1.21–2.07, p = 0.0007), using the low subgroup as a reference. Subgroup analyses revealed significant differences in the relationship between MDS and depression across races, marital statuses, and hypertension status.

Conclusion

Our study has uncovered a significant positive association between MDS and depression. Reducing MDS in individuals may play a positive role in both the prevention and treatment of depression.
Decoupled Nutrient Status: a framework to disentangle host from microbial responses to diets that vary in digestibility
Authors: Venable Emily M. , Carmody Rachel N.
Published: November 2024

Diet shapes the gut microbiome, which in turn influences host phenotype. Accordingly, there is much interest in leveraging diet to modulate gut microbial communities and host biology. However, recent approaches have not fully appreciated that hosts and gut microbes experience diet differently. Whether dietary nutrients reach the gut microbiota, which primarily resides in the colon in humans and other hindgut fermenters, depends on nutrient absorption in the small intestine. That gut microbes utilize the fraction of diet that escapes host-driven digestion creates a paradigm where host nutrient status is decoupled from, and often negatively correlated with, gut microbiota nutrient status. Here, we present a framework based on this concept of decoupled nutrient status (DNS), which can be used to understand distinct host and gut microbial phenotypes that are ultimately mediated by the small intestinal digestibility of the diet. We evaluate our framework against existing research employing diets of varying digestibility and demonstrate convergence of host phenotypes and gut microbial signatures across studies. Further, we highlight that gut microbial signatures predicted by DNS manifest most strongly in humans living industrialized lifestyles and in captive animals that habitually consume diets with high host-driven digestibility. We posit that the evolutionary decoupling of nutritional status between hosts and their gut microbiota has likely been especially pronounced in humans due to our intensified pursuit of calorie-rich, easy-to-digest diets. We conclude by proposing future research directions to better capture diet as it appears to gut microbes, a perspective likely to deliver new understanding of diet-microbiome interactions.
Mixed reality strategies for piano education
Authors: Amm Vivienne , Chandran Krishnan , Engeln Lars , McGinity Matthew
Published: November 2024

Head-mounted mixed reality interfaces, in which a user perceives a seamless blend of real, virtual or remote content, have great potential in a wide range of educational contexts. In this paper, we explore the use of mixed reality (MR) in piano education. We begin with a review of previous examples of virtual and mixed reality for piano teaching and learning, identifying four major categories of functionality: remote teaching, learning to read musical notation, providing alternative notation systems to Western musical notation, and enhancing users’ understanding and experience of music. Following this review, we present an application designed to demonstrate the use of MR for facilitating remote student-teacher piano lessons. Additionally, hand-tracking enables real-time, bi-directional visualization of both the student’s and teacher’s hand movements while playing, which is a crucial communication channel in piano instruction. We also present the Piano Theory Hub, an interactive area for independent learning and practice designed to compliment remote instructions. The Piano Theory Hub uses MR to provide spatial in situ explanations and exercises on notes, intervals, scales, and chords. User studies were conducted to evaluate both remote and solo aspects of the application. The first study with 10 participants revealed a strong sense of immersion and co-presence with the teacher during remote lessons. Trials also revealed that, in addition to virtual hands, visual highlighting of key-presses was found to improve visualisation of the remote users’ play. The second study, with 15 participants found the Piano Theory Hub to be helpful for beginners and some intermediate players, with feedback suggesting improvements in user experience and highlighting the limitations of replacing traditional piano teachers. Our experiments demonstrate that MR can be successfully employed for the following strategies for piano education: hand interaction coaching, flexible virtual hand and piano visibility, augmented feedback including key highlighting, gamified learning elements, and flexible teacher positioning options. Overall, the findings suggest that mixed reality holds promise as an effective tool for remote piano learning and music education, offering immersive and engaging learning experiences.
Estimation of horizontal spatial specifications for ideal head-mounted displays in practical conditions
Authors: Miyashita Yamato , Harasawa Masamitsu , Hara Kazuhiro , Sawahata Yasuhito , Komine Kazuteru
Published: November 2024

This study presents the horizontal spatial specifications required for developing ideal head-mounted displays (HMDs) that provide visual experiences indistinguishable from those obtained without wearing HMDs. We investigated the minimum specifications for pixel density and field of view (FoV) such that users cannot perceive any degradation in these aspects. Conventional studies have measured visual acuity in the periphery and FoV size without eye movement. However, these results are not sufficient to determine the spatial specifications because users may notice a degradation in the quality of images displayed in the periphery when shifting their gaze away from the front. In this study, we measured visual characteristics under practical conditions, wherein participants moved their eyes naturally in coordination with their head movements, as observed when viewing natural scenes. Using a cylindrical display that covered the participant’s entire horizontal visual field with high resolution images, we asked participants to identify degraded spatial resolution or narrowed FoV. Results showed that ideal HMDs do not have to provide spatial frequency components above 0.5 and 2 cycles per degree outside the visual fields of approximately 210° and 120° horizontally, respectively. These results suggest that a resolution equivalent to one-fifteenth of the frontal area is sufficient for the lateral areas of the head. In addition, we found that ideal HMDs require a FoV of at least 240°. This is considerably smaller than a naive estimate of 310° based on previous studies, obtained by integrating the FoV size during fixation and the movable range of the eyes. We believe that these findings will be helpful in developing ideal HMDs.
On the Estimation of Logistic Models with Banking Data Using Particle Swarm Optimization
Authors: Ansori Moch. Fandi , Sidarto Kuntjoro Adji , Sumarti Novriana , Gunadi Iman
Published: November 2024

This paper presents numerical works on estimating some logistic models using particle swarm optimization (PSO). The considered models are the Verhulst model, Pearl and Reed generalization model, von Bertalanffy model, Richards model, Gompertz model, hyper-Gompertz model, Blumberg model, Turner et al. model, and Tsoularis model. We employ data on commercial and rural banking assets in Indonesia due to their tendency to correspond with logistic growth. Most banking asset forecasting uses statistical methods concentrating solely on short-term data forecasting. In banking asset forecasting, deterministic models are seldom employed, despite their capacity to predict data behavior for an extended time. Consequently, this paper employs logistic model forecasting. To improve the speed of the algorithm execution, we use the Cauchy criterion as one of the stopping criteria. For choosing the best model out of the nine models, we analyze several considerations such as the mean absolute percentage error, the root mean squared error, and the value of the carrying capacity in determining which models can be unselected. Consequently, we obtain the best-fitted model for each commercial and rural bank. We evaluate the performance of PSO against another metaheuristic algorithm known as spiral optimization for benchmarking purposes. We assess the robustness of the algorithm employing the Taguchi method. Ultimately, we present a novel logistic model which is a generalization of the existence model. We evaluate its parameters and compare the result with the best-obtained model.
Use of Probes and Sensors in Agriculture—Current Trends and Future Prospects on Intelligent Monitoring of Soil Moisture and Nutrients
Authors: Tornese Iolanda , Matera Attilio , Rashvand Mahdi , Genovese Francesco
Published: November 2024

Soil monitoring is essential for promoting sustainability in agriculture, as it helps prevent degradation and optimize the use of natural resources. The introduction of innovative technologies, such as low-cost sensors and intelligent systems, enables the acquisition of real-time data on soil health, increasing productivity and product quality while reducing waste and environmental impact. This study examines various agricultural monitoring technologies, focusing on soil moisture sensors and nutrient detection, along with examples of IoT-based systems. The main characteristics of these technologies are analyzed, providing an overview of their effectiveness and the key differences among various tools for optimizing agricultural management. The aim of the review is to support an informed choice of the most appropriate sensors and technologies, thus contributing to the promotion of sustainable agricultural practices.
Two Positive Solutions for Elliptic Differential Inclusions
Authors: Bonanno Gabriele , Morabito Valeria , O’Regan Donal , Vassallo Bruno
Published: November 2024

The existence of two positive solutions for an elliptic differential inclusion is established, assuming that the nonlinear term is an upper semicontinuous set-valued mapping with compact convex values having subcritical growth. Our approach is based on variational methods for locally Lipschitz functionals. As a consequence, a multiplicity result for elliptic Dirichlet problems having discontinuous nonlinearities is pointed out.
Tensile Properties of 3D-Printed Jute-Reinforced Composites via Stereolithography
Authors: Rahman M. Azizur , Mohiv Arafath , Tauhiduzzaman M. , Kharshiduzzaman Md. , Khan Md. Ershad , Haque Mohammad Rejaul , Bhuiyan Md. Shahnewaz
Published: November 2024

This paper investigates the tensile properties of jute-reinforced composites fabricated using stereolithography (SLA) 3D printing. Tensile tests were conducted using dog-bone tensile specimens following ASTM D638 Type IV specifications. Additionally, the study explores the effect of layer thickness on the tensile properties of the 3D-printed composite material, examining four different layer thicknesses: 0.025 mm, 0.05 mm, 0.075 mm, and 0.1 mm. The findings revealed that the tensile strength of the 3D-printed jute-reinforced composites increased with the printing layer thickness, reaching its maximum at a layer thickness of 0.1 mm. This represents an enhancement of approximately 84% compared to pure resin. Examination of the fiber–matrix interface under an optical microscope revealed a wavy pattern, suggesting that the interface may act as a mechanical interlock under tensile loads, thereby significantly enhancing tensile strength. The strength of the 3D-printed jute-reinforced composites was found to be comparable to that of glass fiber mat epoxy composites. This demonstrates that 3D SLA-printed jute-reinforced composites offer a promising avenue for producing next-generation composites that are typically challenging to manufacture using traditional fabrication techniques.
The Different Effects of Two Types of El Niño on Eastern China’s Spring Precipitation During the Decaying Stages
Authors: Zhang Dezhi , Gao Chujie , Yang Zhichao , Yuan Zhi , Wang Xuanke , Xu Bei , Qian Haozhong
Published: November 2024

El Niño is one of the most significant global climatic phenomena affecting the East Asian atmospheric circulation and climate. This study uses multi-source datasets, including observations and analyses, and statistical methods to investigate the variations and potential causes of boreal spring precipitation anomalies in eastern China under different El Niño sea surface temperature conditions, namely, the Eastern Pacific and Central Pacific (EP and CP) El Niño cases. The findings reveal that, particularly along the Yangtze–Huaihe valley, spring precipitation markedly increases in most regions of eastern China during the EP El Niño decaying stages. Conversely, during the CP El Niño decaying stages, precipitation anomalies are weak, with occurrences of weak negative anomalies in the same regions. Further analyses reveal that during the decaying spring of different El Niño cases, differences in the location and strength of the Northwest Pacific (NWP) abnormal anticyclone, which is associated with the central–eastern Pacific warm sea surface temperature anomaly (SSTA), result in distinct anomalous precipitation responses in eastern China. The SSTA center of the EP El Niño is more easterly and stronger. In the meantime, NWP abnormal anticyclones are more easterly and have a broader range, facilitating water vapor transport over eastern China. By contrast, the CP El Niño SSTA center is westward and relatively weaker, leading to a relatively weak, westward, and narrower anomalous NWP anticyclone that causes less significant water vapor transport anomalies in eastern China. This paper highlights the diverse impacts of El Niño diversity on regional atmospheric circulation and precipitation, providing valuable scientific references for studying regional climate change in East Asia.
Teaching Aid Regarding the Application of Advanced Organic Petrography in Recycling End-of-Life Lithium-Ion Batteries
Authors: Valentim Bruno
Published: November 2024

This teaching aid aims to illustrate a range of the most common materials in end-of-life (EoL) lithium-ion batteries (LIBs) to demonstrate the usefulness of advanced organic petrography in the characterization of EoL LIB materials and to assess the efficiency of LIB recycling processes from the pre-processing stage up to the impurities of the metallurgical processes. Additionally, it may be useful for students, petrographers, and professionals in battery development and recycling.
Synthesis and Characterization of Carbonaceous Materials for Medical Applications: A Comprehensive Review
Authors: Nnadozie Ebenezer C. , Ogunwa Kennedy I. , Chukwuike Vitalis I. , Nnadozie Onyinyechukwu O. , Ehikhase Charles
Published: November 2024

Carbonaceous materials have gained significant attention in recent years for their various applications in the field of medicine and biotechnology. This comprehensive review explores the synthesis and characterization of carbon-based materials and their potentials in various medical applications. The paper delves into the methods of fabrication of carbon-based nanoparticles, such as carbon nanotubes, biochar, and graphene, while highlighting their unique properties. Characterization techniques, such as microscopy, spectroscopy, and surface analysis, are discussed to provide insights into the chemical and structural properties of these materials. Furthermore, the review examined their wide-ranging medical applications, encompassing tissue engineering, drug delivery, biosensing, and imaging, showcasing the versatility and promising contributions of carbonaceous materials in the healthcare industry. The review outlines the current challenges and prospects in the field, emphasizing the growing significance of carbon-based materials as valuable tools in advancing medical science and technology, as well as public health.
The Changing Face of Hepatitis Delta Virus Associated Hepatocellular Carcinoma
Authors: Cardoso Mariana Ferreira , Machado Mariana Verdelho
Published: November 2024

Hepatitis delta virus (HDV) infection requires the presence of hepatitis B virus (HBV), and chronic HBV–HDV coinfection is considered the most severe form of viral hepatitis. When compared with HBV mono-infection, HBV–HDV coinfection is associated with higher rates of liver cirrhosis and hepatocellular carcinoma (HCC). In this review, we aim to elucidate the complex relationship between HDV infection and the development of HCC. The exact mechanisms underlying the carcinogenic potential of HDV remain to be fully elucidated. Evidence suggests that HDV has both indirect and direct oncogenic effects. Indirect effects promote accelerated progression to liver cirrhosis, which results in a different tumor microenvironment. Direct oncogenic effects are suggested by a distinct molecular signature. The recent epidemiological data regarding HBV–HDV coinfection should make us reconsider the HCC screening strategy, with special focus in younger non-cirrhotic patients. Finally, treating HCC in patients with chronic HDV poses unique challenges due to the complex interplay between HBV and HDV and the severity of liver disease. An in-depth understanding of the epidemiology and pathophysiology of HDV infection and carcinogenesis is essential to improve disease management in this high-risk population.
Changes in Staging and Management of Non-Small Cell Lung Cancer (NSCLC) Patients Following the Implementation of Low-Dose Chest Computed Tomography (LDCT) Screening at Kaohsiung Medical University Hospital
Authors: Chen Chin-Ling , Hsu Jui-Sheng , Shen Yi-Wen , Hsu Chih-Hsiang , Kao Shih-Yu , Lai Wei-An , Chuang Cheng-Hao , Liu Yu-Wei , Lee Jui-Ying , Chou Shah-Hwa , Hung Jen-Yu , Chong Inn-Wen , Yang Chih-Jen
Published: November 2024

Background: Low-dose computed tomography (LDCT) has been widely adopted for lung cancer screening due to its proven ability to reduce lung cancer mortality, especially among high-risk populations. Methods: This retrospective study aims to evaluate the impact of LDCT screening on non-small cell lung cancer (NSCLC) staging at Kaohsiung Medical University Hospital (KMUH) from 2011 to 2020, following the introduction of LDCT in 2013. The study examines the correlation between LDCT screening volume and changes in the distribution of NSCLC stages, particularly early-stage (stages 0 and I) and late-stage (stage IV) diagnoses. Additionally, it explores the differences in histopathological subtypes, focusing on adenocarcinoma and squamous cell carcinoma, and assesses the impact of early detection on five-year survival rates. Results: The results show a significant increase in early-stage NSCLC diagnoses, particularly in adenocarcinoma cases, where early-stage diagnoses rose from 10.4% in 2010 to 38.7% in 2019. However, the number of stage IV cases remained stable, indicating that LDCT may not substantially reduce late-stage diagnoses. Pearson’s correlation analysis demonstrated a strong positive correlation between LDCT screening and early-stage NSCLC detection, particularly for adenocarcinoma (p < 0.001), though the early detection of squamous cell carcinoma and small cell carcinoma remained limited. Conclusions: The study concludes that LDCT screening plays a crucial role in improving early NSCLC detection and five-year survival rates. Future research should focus on optimizing screening strategies to capture more at-risk populations and enhance the detection of harder-to-diagnose subtypes like squamous cell carcinoma.