bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploration of Plant Growth Promoting Bacteria (PGPB) to Control Pantoea sterwartii subsp. stewartii Causes of Stewart's Wilt Disease in Corn Plants
Authors: Yanti Yulmira , Hamid Hasmiandy , Nurbailis Nurbailis , Zomi Zorattun Hasanah , Ahdaniah Khomisatul 
Published: February 2025

Abstract

Pantoea stewartii subsp. stewartii ( Pnss ) is a pathogen that causes Stewart's wilt disease in corn plants, which can significantly reduce production. The purpose of this study was to obtain Bacillus spp. which has the potential to inhibit the growth of P. stewartii subsp. stewartii, the cause of Stewart's wilt disease in planta, in controlling Pnss and increasing the growth of corn plants It has 4 stage . The results of the study showed that the Bacillus consortium has the ability to produce antibiotics that are effective in inhibiting the growth of Pnss, which is seen through the clear zone in the antibiosis test. Bacillus also produces siderophores that can inhibit the growth of pathogens and increase the availability of iron which is important for plant growth. The introduced Bacillus isolates to corn plants can increase plumule length, radicle length, number of radicles, and increase plant production such as number of leaves and cob weight. In addition, the Bacillus consortium can reduce the incidence and severity of Stewart's wilt disease, extend the incubation period of the disease, and reduce the AUDPC value. showed slower disease progression. B. subtilis BPP2at72 and B. mycoides BPP2at71 proved to be the most effective isolates in controlling the disease and increasing corn yield. This study concludes that the Bacillus spp. consortium has great potential as a biocontrol agent and biofertilizer to control diseases and increase corn crop production.
Physiotherapy Rehabilitation in a Patient with Carcinoma of Cervix and Leprosy - A Case Report
Authors: Ambalkar Gunjan , Subhedar Mansi , Zade Amisha 
Published: February 2025

Abstract

Cervical cancer is significant health issue, particularly in women from low resource areas, and when combined with leprosy, a chronic infectious disease that affects the skin and peripheral nerves, the challenges of treatment and rehabilitation intensify. This case report discusses a 70-year-old female patient with both cervical cancers, treated through radical hysterectomy, chemotherapy, and radiation therapy, and a history of leprosy, which had already caused peripheral neuropathy and deformities. The concomitant issues, such as nerve damage, muscle weakness, and lymphedema, significantly reduced her quality of life and functional capacity. physiotherapy played a key role in her recovery, focusing on specific regimen that sought to strengthen certain muscles, offer gait training along with manual lymphatic drainage for pain relief. It was possible to manage pain, restore mobility and improve functional independence within a span of six weeks. It is emphasized how rehabilitation plans are to be used for such complex patients.
Spatial Analysis of the COVID-19 Pandemic trends, distribution, and intervention strategies in Nigeria (2019-2022)
Authors: Bejide Oluwafemi David 
Published: February 2025

Abstract

The COVID-19 pandemic wreaked havoc on Nigeria from 2019 to 2022, causing significant disruptions across physical, emotional, economic, and social spheres. This study assessed the geographic dimensions of COVID-19 incidence and spread in Nigeria, focusing on government responses and mitigation strategies. The research utilized data from the Nigeria Centre for Disease Control. The study carried out Global Moran I, and Anselins Local Moran I spatial statistics to test spatial autocorrelation of the COVID-19 across states in Nigeria and multi-correlations analysis between confirmed cases, deaths, and population factors. The findings revealed that Lagos was the hotspot with the highest number of cases. The Moran's I index analysis of COVID-19 confirmed cases across Nigerian states revealed non-significant weak positive autocorrelation (0.06096) at (p = 0.26) while the Local Moran I analysis of COVID-19 cases in Nigeria reveals that Ogun state had low confirmed cases despite its proximity to high-risk states like Lagos and Oyo state, while some Northern states, including Sokoto, Zamfara, and Kogi, reported relatively low cases compared to Southern states. There is a strong positive correlation at r = 0.94 between confirmed cases and population density indicating higher urban densities experienced heightened infection rates. Moreover, moderate positive correlations at r = 0.46 between confirmed cases and population size indicate larger communities reported more cases. Government interventions, such as lockdowns, curfews, interstate travel bans, and mandatory mask mandates, played crucial roles in curtailing COVID-19 transmission. The study recommends enhanced inter-state border checks, databases, and strengthened surveillance measures for inbound international.
The ontogeny of mouse salivary gland macrophages is distinct between genders
Authors: Liu Fei , Zhao Qingguo , Jaiswal Juhi , Chang Ethan , Shahsavari Arash , Zhang Yu , Yu Victor , Zheng Ronald 
Published: February 2025

Abstract

Sexual dimorphism is found in gene expression and polarization of macrophages in mammals but remains unclear in the ontogeny of tissue-resident macrophages. Salivary glands show remarkable gender differences and macrophages here are essential for the maintenance of immune quiescence and tissue repair after damages. Therefore, we compared origins of macrophages in salivary glands between male and female mice using conditional Cx3cr1 and Ccr2 lineage tracing approaches. We found most salivary gland macrophages in adult males are locally maintained and derived from yolk sac progenitors or postnatal monocytes, whereas these cells in adult females are mostly short-lived and continuously replenished by monocytes. Female salivary glands also contain more monocytes and polarized macrophages. Cx3cr1 knockout made the macrophage ontogeny in adult male salivary glands like females. These gender differences appear related to female-dominant salivary gland phenotypes in an autoimmune disease, Sjogren’s syndrome, and need be considered in developing macrophage-targeting therapies of dry mouth caused by autoimmunity or radiation.
Total hip replacement for neglected acetabular fractures
Authors: Georgeanu Vlad-Alexandru , Fleaca Radu , Roman Mihai , Obada Bogdan , Predescu Vlad 
Published: February 2025

Abstract

Purpose
Neglected acetabular fracture can be approached by different surgical methods, but the optimal treatment is represented by total hip replacement (THR), which theoretically should ensure a stable, painless hip, with almost-normal mobility and a hope of survival as long as possible. This study aims to evaluate the outcomes of THR in patients with neglected acetabular fractures.
Methods
By analyzing clinical and radiological outcomes, surgical challenges, and complication rates, we aim to provide insights into the efficacy and limitations of this approach. This is a retrospective study, 8 patients who underwent THR for neglected acetabular fractures between 2020 and 2024. All patients were assessed at 6 weeks, 6 months, 1 year and 2 years after surgery.
Results
As expected, regardless of the fracture type and the interval between initial trauma and index procedure, Harris hip score showed continuous improvement in successive examinations at 3, 6, 12, and 24 months; younger patients had the best preoperative scores and the fastest postoperative progression. The lowest preoperative score and the lowest rate of improvement was observed in elderly patients. The results of our case series suggest that THR might be an effective treatment for neglected acetabular fractures. The critical challenge is how to approach the acetabular defect to obtain a stable hip.
Conclusions
Neglected fractures are more difficult to repair and have poorer surgical outcomes. Successful outcomes are expected if a solid bone stock is achieved using various surgical techniques.
Perceptions of Family Health History in an East Baltimore Community
Authors: Pandya Yasheel , Zhu Angela , Mondell Ethan , Choi Sophia , Kim Gina , Vanos Valentina , Venkatraman Siddharth , Galiatsatos Panagis , Bodurtha Joann 
Published: February 2025

Abstract

Knowledge and discussion of family health history (FHH) can allow patients, families, and communities to proactively monitor their health and communicate with providers to identify genetic risk factors and inform clinical decision-making. Under-resourced communities may face barriers in collecting, sharing, and using FHH due to competing priorities, health literacy, and medical mistrust. We characterized community opinions about FHH in a public Baltimore market. A paper survey was administered during biweekly health fairs at the Northeast Market. The survey assessed participants’ practices of discussing and collecting FHH, knowledge of genetic testing, perception of FHH, and demographics. One hundred and one surveys were collected. 76% of respondents discussed FHH while only 56% collected FHH (p < .05). Logistic regression found that female gender significantly predicts FHH collection (OR = 2.77, 95% CI [1.15, 6.84]). Additionally, higher income was significantly correlated with discussing (OR = 1.59, 95% CI [1.14, 2.37]), collecting (OR = 1.29, 95% CI [1.01, 1.68]), and valuing transmission of FHH from older to younger people (OR = 1.70, 95% CI [1.22, 2.51]). Participants were found to favor obtaining FHH knowledge through intergenerational exchange compared to medical staff or schoolteachers. These findings indicate that promoting FHH warrants equitable strategies to reach all persons across gender, age, and socioeconomics. Having local advocates trained in the significance of FHH (e.g. community health workers) and supporting intergenerational approaches (e.g. older women with younger relatives) may be a consideration to reach such populations. More insight is needed to gain a comprehensive understanding of how FHH is valued by certain demographics and then begin to foster equitable strategies to educate and inform diverse populations on FHH.
Exploring a Model for the Acceptance of Blockchain Technology in Health and Wellness Centers
Authors: Khademian Seyed Mohsen , Chaharsoughi Shahriar Ansari , Sohrabi Tahmoures 
Published: February 2025

Abstract

This study presents a model for the acceptance of blockchain technology in health and wellness centers, aiming to enhance security, service quality, and transparency. The primary objective is to identify the key factors influencing the acceptance of blockchain within these centers. We conducted in-depth interviews with 15 professionals, including IT managers, cybersecurity experts, senior health center managers, technology specialists, and university professors in health-related fields. Data were collected using a snowball sampling method and analyzed through the Grounded Theory approach to identify the key influencing factors and components. The findings reveal that the acceptance of blockchain technology in health and wellness centers is influenced by four primary dimensions: 1. Organizational (management support, organizational culture, organizational structure, and human resources), 2. Technological (technology infrastructure, technology standards, practical and technological solutions, and technical expertise), 3. Social (awareness and understanding, attitudes and beliefs, social values and norms, and the role of social networks in adaption), and 4.Economic (cost management, achieving economic advantages, improving payment models and positive impacts on stakeholders). These dimensions form a comprehensive framework that can guide the successful implementation of blockchain technology in healthcare settings, with implications for improved efficiency and effectiveness in service delivery.
Total Progressively Motile Sperm Cell Count as a Predictor of Fertilization Failure
Authors: Wang Hai , Xu Zitong , Zheng Xianjue , Zheng Jiayong , Xia Shuqi , Pan Haojie 
Published: February 2025

Abstract

Objectives:This study aimed to investigate the differences in clinical parameters between cycles with normal in vitro fertilization (IVF) fertilization rates and those with low fertilization rates requiring rescue intracytoplasmic sperm injection (R-ICSI).
Methods:A retrospective analysis was conducted on clinical data from 606 IVF cycles and 97 R-ICSI cycles from January 2019 to August 2024. Non-parametric tests, logistic regression analysis, and ROC curves were employed to analyze the relationship between the data and identify the most influential indicators of fertilization failure.
Results:Significant differences were observed between the two groups in female age, male age, female BMI, type of infertility, years of infertility, sperm concentration, number of forward motile spermatozoa, PR, IM, DFI, and acrosomal enzyme activity (P < 0.05). Following R-ICSI, the normal fertilization rate increased from 17.16% (150/874) to 61.78% (540/874), significantly different from the 67.08% (3715/5538) observed in the IVF group (P < 0.05). The area under the curve (AUC) for female BMI, DFI, and total progressively motile sperm cell count (TPMC) were 0.575, 0.617, and 0.703, respectively, with Youden indices of 0.13, 0.21, and 0.31.
Conclusions:The results suggest that TPMC is the most effective predictor of fertilization failure.
Multi-Source Traffic State Estimation: Exploring Advanced Filtering Algorithms for Rural Arterial Networks
Authors: Khan Taimor Ali 
Published: February 2025

Abstract

Traffic state estimation (TSE) is essential for enhancing transportation systems by providing critical, real-time data on road conditions to support decision-making and optimize network performance. Traditional TSE methods have predominantly focused on highways, relying on single-source data inputs like loop detectors or GPS data, which may limit adaptability in diverse traffic scenarios. However, the integration of multi-source data spanning loop detectors, GPS, and Bluetooth has opened new pathways for improved accuracy and responsiveness in TSE models, particularly within rural arterial networks and at complex intersections. This review analyzes the progression of TSE methodologies, focusing on model-based techniques such as the Kalman Filter (KF), Sliding Kalman Filter (SKF), and cell transmission models. By examining the combined use of varied data inputs, this review underscores the benefits of multi-source fusion in accurately capturing dynamic traffic conditions in rural settings. Key challenges, including non-linear traffic flows, inherent data noise, and the limitations of current validation methods, are discussed. Future research directions are identified, highlighting the need for adaptable algorithms that can effectively manage the complex, variable datasets characteristic of rural traffic environments.
Kinetic and Thermodynamic Models for the Formation of Furan in Thermally Processed Foods: A Theoretical and Computational Study
Authors: Nelson Peter N. , Mulder Willem H. 
Published: February 2025

Abstract

The formation of furan, a known carcinogen, in thermally processed foods represent a significant human health risk. Therefore, a clear mechanistic understanding of the transformation process of some common food components to yield furan/ furan-derivatives, is critical for the development of mitigation efforts or the prevention of furan formation in thermally processed foods. Therefore, in this study, density functional theoretical methods are applied in probing the possibility of furan formation from acetaldehyde, glycolaldehyde and aldotetrose on a step-by-step basis. The thermodynamic parameters associated with the transformation steps in the formation of furan from aldotetrose reveal an overall exergonic process, limited by its second step where ΔG‡25 = 327.61 kJ mol− 1. Furan is also generated from the reaction of acetaldehyde with glycolaldehyde via a complex multi-step process, limited by its first step where ΔG‡25 = 283 kJ mol− 1. Based on these findings, kinetic models governing the formation of furan/ furan derivatives are proposed.
EoFTCNets: Efficient Solar Flare Nowcasting using 3D Temporal Convolutional Networks (3DTCN)
Authors: Guesmi Besma , Daghrir Jinen , Moloney David , Aranda José Luis Espinosa , Martin Elena Hervas 
Published: February 2025

Abstract

In the evolving landscape of 21st-century space science, forecasting space weather events such as solar flares and Coronal Mass Ejections (CMEs) are crucial yet challenging. Solar flares are intense bursts of radiation caused by the release of magnetic energy in active regions and are often accompanied byCMEs. These events can significantly impact Earth’s space environment, causing disruptions in radio communication, satellite operations, and power grids. Monitoring the temporal evolution of active regions and providing early warnings of solar flares is essential to mitigate these risks. Deep learning techniques have demonstrated significant success in detecting and predicting time-dependent events. By leveraging spatial data through convolution operations with temporal correlations, we introduce 3D Temporal Convolutional Networks(3DTCNs) to efficiently analyze active region patches over time, leveraging spatial and temporal correlations. Additionally, we introduce separate predictor modules based on flare classification to enhance the performance of our EoFTC-Nets (Eye-on-Flare Temporal Convolutional Networks) nowcasting system.
Our results demonstrate that the proposed architecture matches or outperforms state-of-the-art approaches in the literature, achieving an accuracy exceeding 96% for a 24-hour forecasting window. Furthermore, the model is computationally efficient, consuming approximately 1.2 watts on Intel Movidius Myriad X, making it well-suited for onboard deployment and real-time space weather monitoring.
The fecal metabolome and microbiome are altered in dogs with idiopathic epilepsy compared to healthy dogs
Authors: Verdoodt Fien , Hesta Myriam , Goossens Evy , Immerseel Filip Van , Molina Jenifer , Ham Luc Van , Vanhaecke Lynn , Hemeryck Lieselot Y. , Bhatti Sofie F.M. 
Published: February 2025

Abstract

Idiopathic epilepsy (IE) is the most common chronic neurological disease in dogs, and a natural animal model for human epilepsy types with genetic and unknown etiology. The microbiota-gut-brain axis (MGBA) is a promising target for improving brain health in individuals where brain function is hampered. It's role in the pathophysiology of epilepsy remains however unclear. We aimed to identify differences in fecal metabolome and microbiome between healthy and dogs with IE. To this purpose, fecal samples of healthy (n = 39) and dogs with IE (n = 49) were metabolically profiled (n = 148 metabolites) and fingerprinted (n = 3690 features) using liquid chromatography coupled to mass spectrometry, and the bacterial phylogeny examined using 16S rRNA sequencing. Dogs with IE were categorized as drug-resistant (DR) (n = 27) or mild phenotype (MP) (n = 22). In dogs with DR IE, fecal metabolites such as histamine (P = 0.022) and microbiome genera such as Escherichia-Shigella (P = 0.021) increased, associated with a proinflammatory environment. In dogs with MP IE, alterations associated with anti-inflammatory properties, such as increased fecal serotonin (P = 0.034) and Blautia hominis (P = 0.012) were revealed. Overall, a role for the MGBA communication in canine IE was established.
Exosomes Derived from Bone Marrow Mesenchymal Stem Cells Alleviate Histological Damage and Modulate ADAM12 Gene Expression in the Type 2 Diabetic Rat Model of Achilles Tendinopathy
Authors: Fernanda Daffa Raditya , Antarianto Radiana Dhewayani , Fadhillah Fadhillah , Nisa Upi Chairun , Abinawanto Abinawanto , Lestari Retno 
Published: February 2025

Abstract

Diabetic Achilles tendinopathy (AT) is a degenerative disease resulting from changes in tendon tissue homeostasis caused by type 2 diabetes mellitus. The cure of diabetic AT is difficult to achieve due to the limited regeneration capacity of the tendon. Therefore, a new approach to effectively improve AT healing is needed for further investigation. Previous research has investigated the effect of exosomes from bone marrow-derived mesenchymal stem cells (BM-MSC-Exos) in tendon pathological conditions. Nevertheless, their influence on a diabetic rat model of AT remains unexplored. This study aims to determine the effect of injection of BM-MSC-Exos on diabetic rat model of AT based on histology analysis and ADAM12 gene expression. A total of 12 male white Sprague Dawley rats were grouped into two groups consisting of the tendinopathy control group and the exosome group. Postmortem Achilles tendon histology analysis on day 21 was carried out using the semiquantitative Bonar score method, quantitative histomorphometry of ground substance, and histomorphometry of collagen area using hematoxylin-eosin, alcian blue, and Masson's trichrome staining. Changes in ADAM12 gene expression were examined quantitatively using qRT-PCR. The administration of BM-MSC-Exos in a diabetic Achilles tendinopathy rat model significantly improved tendon histology repair, as evidenced by a marked decrease in the Bonar score. Histomorphometric analysis of the ground substance area showed a significant decrease, indicating the inhibition of osteo-chondrogenic differentiation in the Achilles tendon. Although collagen area histomorphometry displayed an increasing trend, no significant difference was observed on day 21. No significant difference in relative ADAM12 mRNA expression was found between the control and treatment groups, despite an increasing trend observed in the exosome-injected group. The administration of BM-MSC-Exos was proven to have the potential to trigger improvement in diabetic Achilles tendinopathy on day 21.
Geographic mapping and spatiotemporal analysis of
tuberculosis in Libya within ten years’ period (2015- 2024).
Authors: Daw Mohamed Ali 
Published: February 2025

Abstract

Results: During the entire study period, 26478 TB cases were reported from all 22 municipalities in Libya with an annual rate of 40.29 /100,000 (95% CI: (40.229 ± 9.01). The highest incidence was reported in 2015 and the lowest one in 2024. The notification rate among males was significantly higher than that of females (P < 0.001). The highest CNR was reported in the Eastern region followed by Western and Southern regions. The geospatial distribution was evident and heterogeneous throughout the country and over time. High-rate and low-rate clusters were predominantly distributed in the periods. High clusters were concentrated northeast and northwest, though low-level clusters were mainly located in the middle and the southern region of the country. Conclusion: The results of this study provided clear insights into the geographic and spatiotemporal mapping of TB in Libya. There was an overall decreasing trend in TB CNR from 2015 to 2025 parallel with high-risk and low-risk areas. This information should allow the decision-making personnel to implement proper policies to combat TB at national and regional levels.