bluuebunny/crossref_metadata_2025 huggingface dataset:
Utilization of satellite data in determining hydropower potential to support energy security in new capital city region of Indonesia
Authors: Kuntoro Arno Adi , Roesbianto Azman Syah Barran , Farid Mohammad , Kardhana Hadi , Rohmat Faizal Immaddudin Wira , Rizaldi Akbar , Kusuma Muhammad Syahril Badri , Adityawan Mohammad Bagus , Wahid Ahmad Nur
Published: December 2024

The relocation of the national capital from DKI Jakarta to the East Kalimantan region and its people migration requires energy escalation. This project will require an additional 1,555 MW of electricity from existing conditions. In line with Indonesia's clean energy transition, this need can be addressed by developing renewable energy infrastructure, particularly hydropower. This study evaluates the hydropower potential in the Mahakam River using a run-of-river scheme. Given the limited availability of hydro-climatological ground stations, satellite data such as CFSR-TRMM, SRTM DEM, DSMW, and land-cover data were utilized, supported by the SWAT rainfall-runoff model for hydrological analysis. Data calibration was applied, and discharge results were analyzed using a new diversion algorithm to estimate potential power output. Innovative resampling of headrace arrangements was introduced to mitigate potential hydropower conflict sites. Social factors, including protected areas and water transportation routes, were also incorporated to minimize land disputes. The study identified 25 mini-hydropower sites and 16 micro-hydropower sites with a total capacity of 105.4 MW and 9 MW, respectively. These small-scale hydropower systems could supply 3.4% of the projected electricity demand for the new capital city called Nusantara (IKN), and potentially reduce annual carbon emissions by approximately 480,000 tons. The use of satellite data requires meticulous attention to ensure that data acquisition and processing yield reliable results while accurately reflecting field conditions. This research position also provides an initial overview of energy transition strategies in the IKN area through hydropower development and the subsequent potential assessment.
Perception of the learning climate and its prediction of wellbeing in psychology students at a Chilean university
Authors: Cobo-Rendón Rubia , García-Álvarez Diego , Rendon Ramón Cobo , Santana Javiera
Published: December 2024

Autonomy-supportive environments have been identified as predictors of students’ wellbeing and engagement. This paper aimed to examine the perception of learning climate and its predictive ability in the multidimensional wellbeing of university students. An associative and predictive approach was adopted, carried out through a cross-sectional study that included 295 students from a Chilean university. Participants completed a learning climate questionnaire and the PERMA-Profiler. Results indicated that students reported moderately high levels of wellbeing in general, with the dimensions of positive relationships, engagement, and purpose showing the highest scores. Regarding learning climate, responses indicated a mostly positive perception, with scores above the midpoint on the scale. No significant differences were found in wellbeing or perception of learning climate according to academic year. However, a significant interaction effect between gender and learning climate was found for overall multidimensional wellbeing, F(1, 286) = 4.67, p = 0.032, η2 = 0.016. Men in the high learning climate group showed higher wellbeing than women, while women in the low climate group outperformed men in the same group. Additionally, significant gender differences were observed in the engagement dimension, F(1, 286) = 11.23, p < 0.001, η2 = 0.033, with men in the high learning climate group reporting higher engagement, and women in the low learning climate group showing higher engagement than their male counterparts. Perception of learning climate explained a significant amount of the variance in all dimensions of wellbeing. These findings highlight the importance of promoting learning environments that foster autonomy and teacher support, and suggest that the learning climate may have different impacts on wellbeing depending on gender.
Green finance innovation and carbon neutrality strategies: sustainable development pathways and policy frameworks
Authors: Dong Xueqin , Dong Dongdong , Yu Qing
Published: December 2024

Introduction

This paper analyzes the influence of green finance innovation on the green innovation ability of Shanxi Huangtupo Coal Industry Group Co., Ltd.

Methods

By constructing a fixed-effect model. This study uses the number of green patent applications by enterprises as indicator to measure green innovation, with the green finance development index as a key explanatory variable, while controlling for other factors such as asset-liability ratio and listing time.

Results

The results show that there is a significant positive correlation between green finance innovation and the green innovation of enterprises, indicating that the development of green finance has effectively promoted the green technology innovation in enterprises, which helps to achieve carbon neutrality.

Discussion

The study provides a reference for policymakers to promote the development of lowcarbon economy through financial policies. Linking green finance innovation with the green innovation capabilities of specific high emission sector enterprises provides new insights into the role of green finance in promoting enterprise carbon neutrality.
Identification of potential biomarkers from amino acid transporter in the activation of hepatic stellate cells via bioinformatics
Authors: Zhao Yingying , Xu Xueqing , Cai Huaiyang , Wu Wenhong , Wang Yingwei , Huang Cheng , Qin Heping , Mo Shuangyang
Published: December 2024

Background

The etiopathogenesis of hepatic stellate cells (HSC) activation has yet to be completely comprehended, and there has been broad concern about the interplay between amino acid transporter and cell proliferation. This study proposed exploring the molecular mechanism from amino acid transport-related genes in HSC activation by bioinformatic methods, seeking to identify the potentially crucial biomarkers.

Methods

GSE68000, the mRNA expression profile dataset of activated HSC, was applied as the training dataset, and GSE67664 as the validation dataset. Differently expressed amino acid transport-related genes (DEAATGs), GO, DO, and KEGG analyses were utilized. We applied the protein-protein interaction analysis and machine learning of LASSO and random forests to identify the target genes. Moreover, single-gene GESA was executed to investigate the potential functions of target genes via the KEGG pathway terms. Then, a ceRNA network and a drug-gene interaction network were constructed. Ultimately, correlation analysis was explored between target genes and collagen alpha I (COL1A), alpha-smooth muscle actin (α-SMA), and immune checkpoints.

Results

We identified 15 DEAATGs, whose enrichment analyses indicated that they were primarily enriched in the transport and metabolic process of amino acids. Moreover, two target genes (SLC7A5 and SLC1A5) were recognized from the PPI network and machine learning, confirmed through the validation dataset. Then single-gene GESA analysis revealed that SLC7A5 and SLC1A5 had a significant positive correlation to ECM−receptor interaction, cell cycle, and TGF−β signaling pathway and negative association with retinol metabolism conversely. Furthermore, the mRNA expression of target genes was closely correlated with the COL1A and α-SMA, as well as immune checkpoints. Additionally, 12 potential therapeutic drugs were in the drug-gene interaction network, and the ceRNA network was constructed and visualized.

Conclusion

SLC7A5 and SLC1A5, with their relevant molecules, could be potentially vital biomarkers for the activation of HSC.
Cerebral schistosomiasis in a 3-year-old girl due to Schistosoma japonicum: a case report
Authors: Guo Yangyang , Zhang Jindong , Chai Ruichao , Yang Yanlin , Tian Kaibing , Shi Guangzhi , Zhang Linlin
Published: December 2024

Introduction

Cerebral schistosomiasis is a rare but severe manifestation of Schistosoma japonicum infection, often leading to significant neurological impairment. This case report details the clinical presentation, diagnostic challenges, and treatment of a 3-year-old girl with cerebral schistosomiasis in Sichuan, China.

Case description

A 3-year-old girl from a rural area in Sichuan, China, presented with a 3-month history of unstable walking, left facial paralysis, drowsiness, and intermittent fever. Brain MRI revealed giant polycystic lesions in the right temporal, parietal, and occipital lobes, suggestive of an abscess with ependymitis. Despite no history of travel to endemic areas or known freshwater exposure, the patient was diagnosed with cerebral schistosomiasis due to Schistosoma japonicum based on histological examination and metagenomic next-generation sequencing (mNGS) of brain tissue obtained through surgery. The patient underwent surgical resection of the lesions and received two courses of praziquantel combined with corticosteroids and anticonvulsants. Despite residual left-sided hemiplegia, her cognitive function remained comparable to that of her peers, and no recurrence of the disease was observed over three years of follow-up.

Conclusion

This case underscores the diagnostic challenges of cerebral schistosomiasis, particularly in non-endemic areas or in the absence of a clear history of freshwater exposure. Early surgical intervention combined with praziquantel treatment can lead to favorable outcomes, even in severe cases with extensive brain involvement.
Mosquito-borne diseases in urban East African Community region: a scoping review of urban typology research and mosquito genera overlap, 2000-2024
Authors: Joseph Noel K. , Mumo Eda , Morlighem Camille , Macharia Peter M. , Snow Robert W. , Linard Catherine
Published: December 2024

Background

Growing concerns about mosquito-borne diseases (MBDs) in urban settings have prompted renewed urgency for collaborative and active mosquito surveillance programs. This literature review collates entomological data from five East African Community (EAC) countries, studying the definitions of urban settings, co-occurrence of Anopheles, Aedes and Culex mosquito genera and their infection rates to provide a wholistic understanding of MBDs in urban EAC.

Methods

A literature search following the PRISMA-ScR guidelines was conducted in EMBASE, MEDLINE, PubMed, Web of Science and Scopus databases to identify entomological studies conducted in urban and peri-urban settings since 2000. Data on urban and peri-urban settings definitions, presence records and infection rates of Aedes, Culex and Anopheles mosquitoes were compiled and presented.

Results

A hundred and five articles were included in the review. Diverse definitions of urban landscapes emerged, emphasizing (i) distinct characteristics for dichotomous delineation from rural settings (e.g., population density) and (ii) urban-peri-urban continuum integrating spatial variations in urban features associated with MBDs (e.g., planned/unplanned neighbourhoods). Mosquito ecology data derived from 88 sites, comprising 45 urban, 25 peri-urban, 14 mixed settings and four slums, reported 91 mosquito species, including 32% Culex, 31% Aedes, and 25% Anopheles genera. Other co-occurring genera, such as Coquillettidia and Mansonia, represented 12% between 2000 and 2024. Intricate co-occurrence patterns among Aedes, Culex and Anopheles genera linked to habitat preference and climatic conditions (temperature and precipitation) were observed. The average infection rates were estimated as 0.8% for yellow fever, 0.9% and 1.1% for urban and peri-urban P. falciparum sporozoites respectfully, 2.7% for Dengue, 5.3% for Chikungunya and 6.02% for flavivirus, indicating co-circulation of arboviruses among mosquito population.

Conclusion

Our synthesis presents an overview of the complexities of urban MBD research over the past two decades. Integrated assessment of MBDs dynamics in rapidly evolving urban environments is crucial to achieving healthier urban environments in East Africa.

Systematic review registration

https://osf.io/a6s9j/.
Determination of pharmacokinetic-pharmacodynamic cutoff values of oxytetracycline in calves and adult cattle using population pharmacokinetic modeling
Authors: Winter Esther A. , Pelligand Ludovic , Toutain Pierre-Louis , Lees Peter , Milanova Aneliya , Gehring Ronette
Published: December 2024

Introduction

A harmonized clinical breakpoint for interpreting antimicrobial susceptibility testing of oxytetracycline in cattle is currently lacking in Europe. This study aimed to establish a pharmacokinetic/pharmacodynamic (PK/PD) cutoff to propose clinical breakpoints, facilitating reliable interpretation of antimicrobial susceptibility results in cattle.

Methods

A meta-analysis of oxytetracycline pharmacokinetic data from 69 cattle was conducted, including 1,730 plasma concentration samples from animals administered 20 mg/kg intramuscularly and/or 20 or 40 mg/kg intravenously. A three-compartment model with two absorption phases was selected, incorporating age as a covariate for clearances and distribution volumes. The PK/PD cutoff was defined as the maximum MIC for which the fAUC/MIC index achieves the pharmacodynamic target in 90% of cattle given the standard dosing regimen. The pharmacodynamic index (PDI) target selected was established to 24 h, i.e., the average free plasma concentration of oxytetracycline over the 24-h dosing interval, under steady-state conditions, is equal to the selected MIC.

Results

Simulations indicated a PK/PD cutoff of 2 mg/L in adult cattle and 1 mg/L in calves for intramuscularly administered long-acting products at 20 mg/kg with a 48-hour efficacy duration. The difference is attributed to higher clearance rates in calves.

Discussion

The established PK/PD cutoffs, when used alongside the wild-type bacterial epidemiological cutoff, can aid in setting clinical breakpoints for oxytetracycline, supporting effective antimicrobial therapy in cattle and accounting for age-related pharmacokinetic differences.
Association between plasma trimethylamine N-oxide and cerebral white matter hyperintensity: a cross-sectional study
Authors: Ji Xiaotan , Zhang Xudong , Zhang Jie , Niu Shenna , Xiao Hui Cong , Chen Hong , Qu Chuanqiang
Published: December 2024

Background

Cerebral white matter hyperintensity (WMH) is a pivotal imaging feature of cerebral small vessel disease (CSVD), closely correlated with an elevated risk of ischemic stroke (IS). Trimethylamine N-oxide (TMAO), a metabolite of gut microbiota, is increasingly associated with IS and atherosclerosis. However, the intricate relationship between TMAO and WMH remains ambiguous. This study aimed to study the connection between plasma TMAO and WMH. Furthermore, it assessed the potential of TMAO as a risk evaluation instrument for WMH.

Methods

In this cross-sectional study, we categorized WMH into periventricular WMH (P-WMH) and deep WMH (D-WMH), based on its locations. The severity of WMH was assessed and grouped according to the Fazekas scale. Plasma TMAO levels were quantitatively determined. We established the correlation between plasma TMAO levels and WMH severity using a Logistic regression model. Additionally, we employed ROC curves to evaluate the diagnostic efficacy of plasma TMAO concentration in distinguishing the severity of WMH.

Results

A higher plasma TMAO tertile was significantly linked to a higher Fazekas score, encompassing the overall score, P-WMH score, and D-WMH score (p < 0.001). A logical regression analysis revealed that plasma TMAO levels were independently associated with overall moderate and severe WMH, compared to overall non-mild WMH, in the unadjusted model (OR = 1.373, 95%CI 1.183–1.594 for moderate; OR = 1.384, 95%CI 1.192–1.607 for severe), the adjusted model a (OR = 1.436, 95%CI 1.214–1.669 for moderate; OR = 1.446, 95%CI 1.222–1.711 for severe) and the adjusted model b (OR = 1.490, 95%CI 1.234–1.800 for moderate; OR = 1.494, 95%CI 1.237–1.805 for severe). The analysis also showed an independent correlation between plasma TMAO levels and WMH severity, irrespective of the unadjusted model, adjusted model a, or adjusted model b, when considering P-WMH and D-WMH severity. The ROC indicated that, in overall WMH and P-WMH, the area under curve (AUC) for non-mild and severe WMH were both>0.5, while the AUC for moderate WMH was<0.5. In contrast, in D-WMH, the AUC for non-mild, moderate, and severe WMH were all>0.5.

Conclusion

Plasma TMAO levels exhibited a significant correlation with both overall and region-specific WMH severity. Furthermore, the plasma TMAO levels displayed robust predictive capability for D-WMH.
Prognostic value of nomogram model based on clinical risk factors and CT radiohistological features in hypertensive intracerebral hemorrhage
Authors: Lu Gui , Zhang Guodong , Zhang Jiaqi , Wang Lixiang , Du Baoshun
Published: December 2024

Objective

To construct a nomogram model based on clinical risk factors and CT radiohistological features to predict the prognosis of hypertensive intracerebral hemorrhage (HICH).

Methods

A total of 148 patients with HICH from April 2022 to July 2024 were retrospectively selected as the research subjects. According to the modified Rankin scale at the time of discharge, they were divided into good group (Rankin scale score 0–2) and bad group (Rankin scale score 3–6). To compare the clinical data and the changes of CT radiographic characteristics in patients with different prognosis. Relevant factors affecting the prognosis were analyzed, and nomogram model was established based on the influencing factors. The fitting degree, prediction efficiency and clinical net benefit of the nomogram model were evaluated by calibration curve, ROC curve and clinical decision curve (DCA).

Results

Compared with the good group, the hematoma volume in the poor group was significantly increased, the serum thromboxane 2(TXB2) and lysophosphatidic acid receptor 1(LPAR1) levels were significantly increased, and the energy balance related protein (Adropin) level was significantly decreased. The proportions of irregular shape, promiscuous sign, midline displacement, island sign and uneven density were all significantly increased (p < 0.05). In Logistic multivariate analysis, hematoma volume, Adropin, TXB2, LPAR1 and CT radiological features were all independent factors influencing the poor prognosis of HICH (p < 0.05). A nomogram prediction model was established based on the influencing factors. The calibration curve showed that the C-index was 0.820 (95% CI: 0.799–0.861), the goodness of fit test χ2 = 5.479, and p = 0.391 > 0.05, indicating a high degree of fitting. The ROC curve showed that the AUC was 0.896 (95% CI: 0.817–0.923), indicating that this model had high prediction ability. The DCA curve shows that the net benefit of the nomogram model is higher when the threshold probability is 0.1–0.9.

Conclusion

The nomogram prediction model established based on hematoma volume, Adropin, TXB2, LPAR1 and other clinical risk factors as well as CT radiographic characteristics has high accuracy and prediction value in the diagnosis of poor prognosis in patients with HICH.
Total retroperitoneal lipectomy improves prognosis in patients with primary retroperitoneal liposarcoma: a comparative study
Authors: Gao Haicheng , Liu Shibo , Li Wenjie , Zou Boyuan , Miao Chengli
Published: December 2024

Background

Retroperitoneal liposarcoma (RPLS) is the most common soft tissue sarcoma originating in the retroperitoneal space. Although surgery is the standard treatment, recurrence remains frequent. In this study, we aimed to explore the safety and efficacy of total (ipsilateral) retroperitoneal lipectomy (TRL) compared to traditional complete resection (CR) for primary RPLS.

Methods

We retrospectively analyzed patients with primary RPLS treated at our center between January 2014 and December 2020. Univariate and multivariable Cox regression analyses assessed the impact of demographic, operative, and clinicopathological variables on recurrence-free survival (RFS) and overall survival (OS). Kaplan-Meier plots illustrated RFS and OS, and the log-rank test compared time-to-event distributions.

Results

A total of 81 patients were included in the final analysis: 37 in the CR group and 44 in the TRL group. Demographic and clinicopathologic parameters were comparable between the two groups. Post-operative morbidity occurred in 30.9% of cases, with 15 (40.5%) in the CR group and 10 (22.7%) in the TRL group (P=0.086). There were 9 cases of severe complications at grade 3 or higher, with 5 cases in the CR group and 4 cases in the TRL group. There was no significant difference between the two groups (P=0.314). The TRL group demonstrated improved RFS and OS, particularly among dedifferentiated liposarcoma (DDLS) patients.

Conclusions

Total retroperitoneal lipectomy (TRL) appears to be a safe procedure that enhances survival outcomes in patients with primary RPLS. Further studies are needed to validate these findings.
Patterns and centralisation in Ethereum-based token transaction networks
Authors: De Collibus Francesco Maria , Campajola Carlo , Caldarelli Guido , Tessone Claudio J.
Published: December 2024

We explore patterns, regularities, and correlations in the evolving landscape of Ethereum-based tokens, both ERC-20 (fungible) and ERC-721 (non-fungible) to understand the factors contributing to the rise in certain tokens over others. By applying network science methodologies, minimum spanning trees, econometric autoregressive–moving-average (ARMA) models, and the study of accumulation processes, we are able to highlight a rising centralisation process. Not only do “rich” tokens get richer, but past transactions also emerge as more reliable predictors of new transactions. Our findings are validated across different samples of tokens.
Deciphering heat wave effects on wheat grain: focusing on the starch fraction
Authors: Pereira Rita , Tomás Diana , Silva Manuela
Published: December 2024

Wheat is an essential staple food, and its production and grain quality are affected by extreme temperature events. These effects are even more relevant considering the increasing food demand for a growing world population and the predicted augmented frequency of heat waves. This study investigated the impact of simulated heat wave (HW) conditions imposed during grain filling on starch granule characteristics, endosperm ultrastructure, and transcriptomic modulation of genes involved in starch synthesis and degradation. All these evaluations were performed with four different genotypes, two commercial wheat varieties (Antequera and Bancal), and two traditional landraces (Ardito and Magueija). Starch granule size distribution and shape were significantly altered by HW treatment, revealing an increase of A-type granules in Ardito and an opposite effect in Magueija and Bancal, while Antequera remained stable. Analysis of the largest (LD) and smallest (SD) granule diameters also revealed genotype-specific changes, with Magueija showing a shift toward more spherical A-type granules after the HW treatment. Scanning electron microscopy confirmed alterations in endosperm morphology, including increased vitreousness in Bancal and substantial increase of endosperm cavities and grain size reduction in Magueija under HW stress. The transcriptomic analysis confirmed the stability of Antequera under HW, in contrast with the other genotypes where differential gene expression related to starch metabolism was detected. These effects were particularly severe in Magueija with the downregulation of genes encoding for enzymes involved in amylopectin synthesis (both starch synthases and starch-branching enzyme) and upregulation of α-amylase-encoding genes. These findings contribute to the understanding of heat stress effects on wheat grain quality, emphasize the importance of genetic diversity in HW responses, and suggest potential avenues for breeding climate-resilient wheat varieties.
Unveiling the associations between conscientiousness and emotional intelligence in Paralympic athletes
Authors: Sarikabak Murat , Ayranci Mert , Yalcin Ilimdar , Talaghir Laurentiu-Gabriel , Bentea Cristina-Corina
Published: December 2024

This study investigates the association between conscientiousness and emotional intelligence (EI) in Paralympic athletes. A sample of 274 athletes (190 male, 84 female) was analyzed using the Schutte EI Scale and a Conscientiousness scale from the Big Five Personality Traits. Results indicated a significant positive relationship between EI and conscientiousness, with EI explaining 28% of the variance in conscientiousness (p < 0.05). Specifically, optimism and mood regulation demonstrated a high positive correlation with conscientiousness (r = 0.501), while assessing feelings showed a moderate positive correlation (r = 0.391), and using feelings revealed a low positive correlation (r = 0.120). Gender-based analysis revealed that female athletes scored significantly higher in emotional usage. These findings suggest that promoting EI in Paralympic athletes could enhance conscientiousness, potentially benefiting their resilience and psychological stability. Future research should explore longitudinal designs to examine these associations further.
Pregabalin treatment in a 30-year-old patient with Bainbridge-Ropers syndrome: a case-report
Authors: Geiser Marie , Good Jean-Marc , Guinchat Vincent
Published: December 2024

Mr. X is a Swiss patient with Bainbridge-Ropers syndrome clinically and genetically diagnosed at the age of 28. He is also known to have severe intellectual disability, autism spectrum disorder and epilepsy since the age of 18. At the age of 30, he was admitted for the first time to a psychiatric crisis unit dedicated to mental disabilities for challenging behavior such as self-aggression (forceful vomiting, scratching himself, pulling out his toe and fingernails or banging his head against the wall), agitation, screaming, dropping to the ground, damaging electronic items, or even displaying hetero-aggressive gestures (trying to bite or pull hair, scratching, kicking, or punching) associated with a drop in mood, withdrawal from usual activities, a drop in social interaction and a tendency to doze off during the day. The introduction of Pregabalin leads to rapid stabilization of the clinical state, almost complete improvement in challenging behavior and gradual withdrawal of other treatments (class 2 analgesics, neuroleptics, antidepressants, and benzodiazepines). At the neurological check-up 9 months after discharge from hospital, clinical stability was confirmed by the surrounding team and the medical observation, with almost complete disappearance of auto-aggressive gestures.
Older adult supportive environment at home—a case study in Jordan: overall sense of control associated with home modification
Authors: Al-Homoud Majd
Published: December 2024

Introduction

Modification becomes a critical issue in a supportive home environment for older adults.

Methods

This study examined if modifications in different spaces at home are facilitated to provide a supportive environment for older adults to feel in control in a cultural context. Data was utilized using field research with a mixed method design: Structured and open-ended interviews as well as surveys using a questionnaire. The hypothesis states that older adults have a supportive environment at home when the overall sense of control is associated with home modification.

Results

The result reveals that overall sense of control with home modification and its components: kitchen, bedroom, living room, and reception room have a significant effect on older adults’ wellbeing.

Discussion

Therefore, older adult supported environment in Jordan can only take place by boosting awareness about the existing problems in the physical environment, by describing the benefits of home modification and by reducing the barriers of home modifications. This process can enhance the housing market and provide better urban policies for urban design and urban planning based on cultural heritage and values.
Can social media promote vaccination? Strategies and effectiveness of COVID-19 vaccine popularization on Chinese Weibo
Authors: Xu Jing , Guo Difan , Wu Jing , Xu Jinghong
Published: December 2024

Background

The COVID-19 pandemic has shown a high severity in terms of mortality, and to mitigate the impact of the COVID-19 pandemic, a great deal of reliance has been placed on vaccines with defensive effects. In the context of the transmission of hazardous Omicron variant strains, vaccine popularization and acceptance are very important to ensure world health security. Social media can spread information and increase public confidence in and acceptance of vaccines.

Method

In this study, weibos related to “vaccine science popularization” during the COVID-19 pandemic in China were collected, and Weibo publishers were divided into Individuals, Organizations, Media, Government, and Scientists. The communication strategies were analyzed with content analysis from the four dimensions of Issue, Topic, Frame, and Position. SnowNLP was used to mine the audience comments and to assess their emotional tendencies. Finally, hierarchical regression was used to verify the causal relationship between vaccine science popularization strategies and audiences’ emotions.

Results

We found that the higher the scientific authority of the weibo publisher, the more positive the emotional tendency of the audience toward the weibo. Issues that are scientific, authoritative, and positive topics that positively present the advantages of the COVID-19 vaccine, and frames with detailed narratives, scientific arguments, diversified forms of presentations, and positions in support of the COVID-19 vaccine, positively affect the effect of vaccine popularization.

Discussion

Based on the experience of COVID-19 vaccine promotion in China, the results may serve as a reference for promoting innovative vaccines and handling public health affairs around the world.
Invasive pneumococcal disease in adults after the introduction of pneumococcal vaccination: a retrospective study in the metropolitan area of Zagreb, Croatia (2010–2022)
Authors: Čivljak Rok , Draženović Karla , Butić Iva , Kljaković Gašpić Batinjan Marina , Huljev Eva , Vicković Ninoslava , Lizatović Ivan Krešimir , Grgić Borna , Budimir Ana , Janeš Andrea , Nikić Hecer Ana , Filipec Kanižaj Tajana , Tešić Vanja , Kosanović Ličina Mirjana Lana , Dobrović Karolina
Published: December 2024

Introduction

Invasive pneumococcal disease (IPD) is a severe form of illness caused by Streptococcus pneumoniae with high morbidity and mortality rate in the general population, particularly in children <5 years of age, adults ≥65 years of age and the immunocompromised. As known, pneumococcal vaccination lowers the risk of IPD so the aim of this study was to investigate whether the introduction of pneumococcal vaccination has influenced the incidence and mortality of IPD in adults in Croatia.

Materials and methods

A retrospective study was conducted among adult patients (aged ≥18 years) hospitalized due to IPD in the metropolitan area of Zagreb from 1st January 2010 to 31st December 2022. Number of vaccine doses distributed were obtained from the healthcare system.

Results

During the study period, 389 patients were hospitalized, of whom 214 (55.5%) were male. The annual incidence of IPD ranged from 0.6 to 4.1/100,000 population. A total of 185 (47.6%) patients were ≥ 65 years of age and 309 (79.4%) were ≥ 50 years of age. In 331 (85.1%) of the patients, at least one risk factor was identified, with age ≥ 65 years being the most common. Bacteremic pneumonia was the most frequent clinical presentation of IPD (66.3%). Indication for vaccination had 249 patients (64%) but only 11 patients (4.4%) were vaccinated. Also, 64 patients (16.5%) died. Serotype was determined in 233 (59.9%) of the isolates, with serotype 3 being the most frequent (49, 21%), followed by serotype 14 (38, 16.3%) and 19A (15, 6.4%). A total of 180 isolates (77.3%) were included in the 13-valent conjugate vaccine, 208 (89.3%) in the 20-valent conjugate vaccine and 212 (91%) in the 23-valent pneumococcal polysaccharide vaccine.

Discussion

The introduction of pneumococcal vaccination has led to a significant decrease in the incidence and mortality of IPD in adults. To further reduce morbidity and mortality from IPD, it is necessary to increase vaccine coverage in adults, particularly in individuals with risk factors. It may be beneficial to lower the recommended vaccination age from ≥65 to ≥50 years as the substantial difference in the incidence rates of IPD between these age groups was noticed.
AI-assisted human clinical reasoning in the ICU: beyond “to err is human”
Authors: El Gharib Khalil , Jundi Bakr , Furfaro David , Abdulnour Raja-Elie E.
Published: December 2024

Diagnostic errors pose a significant public health challenge, affecting nearly 800,000 Americans annually, with even higher rates globally. In the ICU, these errors are particularly prevalent, leading to substantial morbidity and mortality. The clinical reasoning process aims to reduce diagnostic uncertainty and establish a plausible differential diagnosis but is often hindered by cognitive load, patient complexity, and clinician burnout. These factors contribute to cognitive biases that compromise diagnostic accuracy. Emerging technologies like large language models (LLMs) offer potential solutions to enhance clinical reasoning and improve diagnostic precision. In this perspective article, we explore the roles of LLMs, such as GPT-4, in addressing diagnostic challenges in critical care settings through a case study of a critically ill patient managed with LLM assistance.
Gut eutrophication
Authors: Uzoigwe Chika Edward
Published: December 2024

“Classical eutrophication” occurs when raw unfixed nutrients enter an aquatic environment. This causes the deleterious proliferation in fauna most adept at exploiting this abundance of nutrition. The net effect is de-diversification. We propose an analogous process in the gut: “gut eutrophication”. Evidence shows that consumption of processed food, high in unfixed disaccharides, causes an expansion of bacteria in the gut habitat with a metabolic proclivity for these nutrients. This is at the expense of microbiota with a predilection for complex macromolecule macronutrients. There is a loss of diversity and the effect is exacerbated by a sedentary lifestyle. Gut luminal low oxygen tension favors salubrious gut commensals. This effect is potentiated by exercise but thwarted by inactivity. Antibiotics cause an obvious gut dysbiosis. So too can diet in a more insidious manner. The transition in microbial composition, seen in “gut eutrophication”, may be an aetiological component of metabolic disease-associated gut dysbiosis.
Case Report: single low-dose of denosumab as a trigger of MRONJ development in a patient with osteoporosis after bisphosphonate therapy
Authors: Száraz Dávid , Peřina Vojtěch , Treglerová Jana , Macháček Ctirad , Zendulka Ondřej , Bořilová Linhartová Petra
Published: December 2024

Both denosumab (DMB) and bisphosphonates (BPs), antiresorptive drugs (ARDs) used for the treatment of osteoporosis and oncological disorders, are known for their potential to cause medication-related osteonecrosis of the jaws (MRONJ). Besides ARDs, statins were recently associated with MRONJ development, especially in patients taking higher doses of statins for a longer period of time. Here, we report a case of a female patient with osteoporosis using statins and treated with alendronate for 3 years who rapidly developed MRONJ stage III after only a single low dose of DMB. After partial maxillectomy complete healing was observed without any recurrence. We performed a literature review of cases with MRONJ triggered by a single low dose of DMB, with or without previous application of other ARDs. Only six similar cases of patients who developed MRONJ after a single low dose of DMB following previous BP therapy have been reported so far. Besides these, literature reports one patient who developed MRONJ after a single dose of DMB following romosozumab treatment and five cases developing MRONJ after a single dose of DMB even without any previous ARD treatment. We suggest that before DMB therapy is initiated, all factors predisposing to MRONJ development should be considered.
Comparative study of machine learning methods for mapping forest fire areas using Sentinel-1B and 2A imagery
Authors: Chen Xinbao , Zhang Yaohui , Wang Shan , Zhao Zecheng , Liu Chang , Wen Junjun
Published: December 2024

The study focuses on identifying fireburning and burnt areas in a large-scale forest fire that occurred in Xintian County, China, in October 2022. To investigate the adaptability of machine learning methods in various scenarios for mapping forest fire areas, this study presents a comparative study on the recognition and mapping accuracy of three machine learning algorithms, namely, Support Vector Machine (SVM), Random Forest (RF), and Neural Network (NN), based on Sentinel-1B and 2A imagery. Initially, three sets of pre-fire, during-fire, and post-fire remote sensing data were preprocessed. Various feature parameters from Sentinel-1B and 2A imagery were combined to identify firerelated land cover types. The experimental results revealed that: (i) During the pre-fire period, the SVM method demonstrated superior accuracy compared to the other two methods. The combination of spectral and Normalized Difference Vegetation Index (NDVI) features achieved an optimal accuracy for identifying forest areas with an overall accuracy (OA) of 93.52%. (ii) In the during-fire period, RF method exhibited higher accuracy compared to the other two methods with peak fire identification accuracy reached by combining spectral and Normalized Burn Ratio (NBR) index features at an OA of 95.43%. (iii) In the post-fire period, SVM demonstrated superior accuracy compared to other methods. The highest accuracy of 94.97% was achieved when combining spectral and radar features from Sentinel-1B imagery, highlighting the effectiveness of using spectral and radar backward scattering coefficients as feature parameters to enhance forest fire recognition accuracy for burnt areas. These findings suggest that appropriate machine learning algorithms should be employed under different conditions to obtain more precise identification of forest fire areas. This study provides technical support and empirical evidence for extracting and mapping forest fire areas while assessing damage caused by fires.
Accuracy of volume measurements by a clinical spirometer in multiple veterinary hospitals
Authors: Raillard Mathieu , Mosing Martina , Raisis Anthea , Auckburally Adam , Borland Karla , Canfrán Susana , Downing Frances , García de Carellán Mateo Alejandra , MacFarlane Paul , McFadzean William , Merlin Tristan , Portier Karine , Robertson Josephine , Soares Joao Henrique Neves , Steblaj Barbara , Zoff Aurora , Levionnois Olivier L.
Published: December 2024

Introduction

Spirometry devices, which are components of many anaesthesia machines, are commonly used to assess lung mechanics during anaesthesia. Spirometry calibration usually adheres to manufacturer recommendations without established guidelines. Although more accurate and less variable than inbuilt spirometry in certain General Electric anaesthesia ventilators, near-patient spirometry lacks adequate evaluation.

Methods

We assessed near-patient spirometers’ performance using Pedi-lite and D-lite flow sensors. Certified 1 L calibration syringes were used on 67 monitors located in 14 veterinary hospitals. Three consecutive inspired and expired volume values displayed by the monitors for each volume of the calibration syringe were recorded. Volumes studied were 50, 100, 150, 250, 300 mL for Pedi-lite and 150, 300, 450, 500, 750 mL for D-lite. Measured and targeted volumes were averaged, agreement error calculated. Accuracy was assessed plotting agreement errors against calibration volumes. A linear mixed-effects model was used to obtain linear regression between the error and the calibration volume. Mean, differential and proportional bias, limits of agreement, claimed accuracy and 10% clinical tolerance were calculated and displayed. Differences among monitors were evaluated using the Friedman rank sum test, differences between inspired and expired volumes using the Wilcoxon signed-rank.

Results

Inter-monitor variability for inspired and expired volume readings using both sensors was high; intra-monitor variability was low. The error magnitude was independent of volumes evaluated. Using Pedi-lite, only a minority of measurements met manufacturer’s specification or a 10% clinical tolerance; both inspired and expired volumes were significantly underestimated. Using D-lite, superior performance was demonstrated for volumes between 300 and 750 mL (mean biases close to zero and the majority of measurements meeting manufacturer’s specifications and clinical tolerance). The difference between measured inspired and expired volumes with both sensors was significant.

Discussion

These results support caution when interpreting clinical measurements of lung volumes and mechanics in anaesthetised patients when using these sensors. This is particularly important in smaller patients where lung volumes are below 300 mL. Trends should be reliable.
Ultrasonographic adrenal gland changes in dogs with Cushing’s syndrome with a low-dose dexamethasone suppression test result consistent with partial suppression or escape pattern
Authors: Mayr Matthias , Geisen Vera , Unterer Stefan , Wehner Astrid
Published: December 2024

Background

Cushing’s syndrome (CS) in dogs is mainly caused by pituitary-dependent (PDH) or adrenal-dependent (ADH) hypercortisolism. Result of the low-dose-dexamethasone suppression test (LDDST) with partial suppression (PSP) or escape pattern (EP) are indicative of PDH. No data concerning the ultrasonographic characteristics of the adrenal glands from dogs with these patterns exists.

Objective

To describe ultrasonographic appearance of adrenal glands in dogs with CS, with a LDDS test result consistent with PSP or EP.

Animals

Forty-nine client owned dogs with a diagnosis CS with a PSP or EP in the LDDST.

Methods

Retrospective evaluation of ultrasonographic adrenal gland size, shape and echogenicity. The dorsoventral thickness ratio (DVTR) and dorsoventral thickness difference ratio (DVTDR) was calculated.

Results

PSP and EP occurred in 42.9 and 57.1% of all LDDST. The median maximum width of the left adrenal gland was 0.71 cm (IQR, 0.24 cm) and of the right 0.75 cm (IQR, 0.19 cm) in all dogs and there was no difference between both patterns. There was a significant correlation between adrenal gland width and weight (left adrenal gland p = 0.002, right adrenal gland p = 0.017). In 9/49 dogs (18.4%), an adrenal asymmetry with a DVTDR >0.3 was present. In 7 of these 9 dogs, follow-up was available indicating presence of PDH.

Conclusions and clinical importance

Based on follow up, PSP and EP of the LDDST were very supportive of PDH. Bilaterally symmetric adrenomegaly is a characteristic finding in dogs with PDH, however the size of adrenal gland width in this cohort was smaller than previously reported. Adrenal asymmetry was noted in approximately 20%.
Variability in performance of agility dogs navigating a dynamic obstacle
Authors: Pechette Markley Arielle , Wood Moriah K. , Shoben Abigail B. , Olson Rachel A.
Published: December 2024

Introduction

During agility performance, dogs complete a preset obstacle course. The teeter, also known as the seesaw, is the only dynamic contact obstacle. Dogs handle dynamic obstacles differently than static obstacles due to the need for increased coordination and postural control. No studies have been performed evaluating dogs’ abilities or biomechanical strategies to navigate the teeter. The goal of this study was to describe and quantify variability in teeter performance across a sample of dogs of differing body mass and breeds.

Materials and methods

Twenty dogs of various body masses and breeds were recruited. Handlers were instructed to line their dog up approximately 5 m from the teeter and to handle the obstacle in a way to best reflect the dog’s typical performance. Repetitions were filmed using a GoPro Hero 11 at 240 frames per second. Data were post processed and footfalls were manually tracked using XMALab. Descriptive statistics were used to describe both central tendency and variability.

Results

Mean total obstacle completion time (from dog breaking the plane of the teeter until teeter contact with ground) was 1.31 s (sd = 0.38) and mean total footfalls on the teeter was 18.3 (sd = 3.4). Footfall patterns varied across all phases of teeter performance, with particularly noteworthy variation during descent while the teeter was moving. Some dogs were nearly completely stationary while the teeter dropped while others continued to take steps toward the end of the obstacle as the teeter was in motion. Smaller dogs had more total footfalls and longer teeter completion times than larger dogs, and dogs with a stopped contact behavior took longer to fully exit the teeter after it contacted the ground.

Discussion

These data imply that dogs use a variety of biomechanical strategies to perform a dynamic obstacle. Results of this study provide insight into teeter performance and variables that can be utilized for evaluation in future biomechanical studies. This study also provides initial data on biomechanical strategies used by dogs on dynamic surfaces, which may offer insight into dynamic stability and postural control in dogs and how that may influence injury development during sport.
Investigation of the prevalence of latent tuberculosis in cancer patients compared to non-cancer patients: a case-control study
Authors: Mortezazadeh Masoud , Karimi Mehdi , Esfandbod Mohsen , Mofidi Abbas , Hemmati Nima , Kashani Mehdi , Shirsalimi Niyousha , Seyyed Mahmoudi Seyyed Taher , Kamali Yazdi Ehsan
Published: December 2024

Background

Latent tuberculosis (TB) can reactivate in immunocompromised individuals, such as cancer patients undergoing chemotherapy, leading to severe complications. Understanding the prevalence of latent TB in this high-risk group is crucial, especially in regions with moderate to high TB burdens.

Aim

This study aims to determine the prevalence of latent tuberculosis in cancer patients before chemotherapy and immunotherapy to guide preventive interventions and reduce the risk of TB reactivation.

Methods

This case-control study was conducted at Sina Hospital in Tehran, Iran, from 2012 to 2022. A total of 392, including 107 newly diagnosed cancer (case) and 285 non-cancer (control) patients, were enrolled in this study. All patients had received the Bacillus Calmette-Guérin (BCG) vaccine at the age of one. They underwent a thorough clinical examination and were screened using the tuberculin skin test (TST) to detect latent TB. Any active TB cases were identified through acid-fast smear tests. The data collected from the study participants was then analyzed.

Results

The results showed no significant difference in the size of TST between cancer and non-cancer patients (cases: median = 2 mm, IQR: 1–12; controls: median = 2 mm, IQR: 1–5; p = 0.09). The prevalence of latent TB was 27.1% in cancer patients and 20.7% in non-cancer patients, with no significant association identified between latent TB and malignancies (P-value = 0.176). Over a median follow-up of 4 years, mortality was significantly higher in cancer patients compared to controls (42.1% vs 1.8%; P< 0.001, OR = 40.64). Additionally, deceased patients exhibited a greater prevalence of latent TB (44% vs 19.3% in survivors; P< 0.001, OR = 3.28), and increased size of TST was associated with higher mortality risk among cancer patients.

Conclusion

In conclusion, this study emphasizes the need for vigilant latent TB screening in cancer patients, given the association between larger TST sizes and increased mortality risk. While no direct link between cancer type and latent TB was found, proactive TB management remains crucial, particularly for those undergoing immunosuppressive therapy.