bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategi Peningkatan Peran Pemangku Kepentingan Ditinjau dari Model Penta Helix dalam Pengelolaan Smart City Kota Semarang
Authors: Stg Febrina 
Published: November 2024

Smart City merupakan suatu inovasi yang diterapkan di Kota Semarang sebagai alternatif solusi untuk menghadapi tantangan dan permasalahan perkotaan dengan mengimplementasikan konsep integrasi teknologi informasi dan komunikasi (TIK) berbasis Internet of Things (IoT). Keberhasilan penerapan smart city tidak terlepas dari peran pemangku kepentingan sebagai aktor pembangunan dalam menggerakkan inovasi, pelayanan publik dan investasi Kota Semarang sebagai pusat ekonomi dan pertumbuhan ekonomi Jawa Tengah. Penelitian ini bertujuan untuk mengidentifikasi, memetakan dan merumuskan peran pemangku kepentingan ditinjau dari model Penta Helix yaitu pemerintah, swasta, akademisi, media massa dan masyarakat dengan konsep kolaborasi dalam pengelolaan Quick Wins Semarang Smart City berdasarkan dokumen Peraturan Walikota Semarang Nomor 26 tahun 2018. Metode penelitian yang digunakan adalah metode deskriptif kualitatif, terdiri dari data primer melalui wawancara secara langsung (face-to-face) dengan informan inti dan data sekunder melalui studi literatur dan penelitian terdahulu terkait topik penelitian. Teknik analisis data menggunakan analisis stakeholders untuk memperoleh kerangka kerja yang kuat untuk mengetahui sejauh mana peran pemangku kepentingan dalam memaksimalkan penerapan smart city. Hal ini membantu mengidentifikasi kompleksitas hubungan antarpihak, meminimalkan risiko, dan menciptakan lingkungan yang mendukung inovasi berkelanjutan dalam menghadapi kondisi perkotaan yang dinamis dan adaptif terhadap perubahan tersebut. Dengan mengetahui permasalahan dan potensi secara substansial dan teknis, maka dapat menjadi usulan strategi peningkatan peran pemangku kepentingan yang selanjutnya dapat menjadi rekomendasi kebijakan pemangku kepentingan demi perbaikan kualitas pelayanan publik Kota Semarang.

Kata kunci: smart city; quick wins; model Penta Helix; kolaborasi; pemangku kepentingan
Antifungal Potential of Corolla Extracts from Butea monosperma and Calotropis procera against Wheat Fungal Diseases Identified from District Bhimber, Azad Kashmir
Authors: Hussain Tanveer , Moqaddas Aleeza , Ishtiaq Muhammad , Khan Faheem Ahmed 
Published: November 2024

The present study documented the fungal diseases of wheat crop and their biological management by using corolla extracts of two medicinal plants ‘Butea monosperma and Calotropis procera’. The highest infection rate (57.14%) was observed against Fusarium graminearum while minimum infection rate (20.8%) was observed against Blumeria graminis pathogen. The highest severity rate was recorded at 80% while the minimum severity rate was recorded as 40%. The antifungal responses of corolla extracts have been applied against the most prevalent fungal pathogens of wheat. The highest zone of inhibition was observed in methanolic extract of Butea monosperma petals against fungi Alternaria triticina. Similarly, the maximum zone of inhibition was observed in methanolic extract of Calotropis procera against fungi Fusarium graminearum. It was indicated that the treated wheat plants produced better yield than non-treated plants. It was observed that the Calotropis procera showed more potential for the management of fungal diseases than Butea monosperma. So, it was concluded that the C. procera petals are more efficient because they have rich chemical compositions. Therefore, these were considered very effective against selected fungal pathogens of wheat.
Sensing equivalent kinematics enables robot-assisted mirror rehabilitation training via a broaden learning system
Authors: Miao Qing , Fu Xueming , Chen Yi-Feng 
Published: November 2024

IntroductionRobot-assisted mirror therapy has been widely developed to help remodeling of premotor cortex for patients suffering from motor disability of limbs. Nevertheless, it is difficult to achieve real-time adaptive control in robot-assisted mirror rehabilitation training, particularly for patients with varying levels of limb impairment.MethodsThis paper proposes an equivalent kinematics control framework based on the Broaden Learning System model for active robotic mirror rehabilitation, where people’s bilateral upper limbs actively perform mirror movements to enhance the impaired limb’s participation. The framework accommodates a broaden learning model from sensing multi-kinematic features to adjust the robotic damping coefficient in assisting human participants to complete mirror-symmetry training. Besides, in order to adapt to inter-patients’ variability with different disability levels, a challenge-level modification interface is also fused for safer training. This model is verified by additional symmetry indicator such as position trajectory error and force.ResultsExperimental results show that the weaker subjects can also maintain mirror movement with the stronger subjects under the help of this model and verify the performance of framework in mirror-symmetry effects and movement smoothness. This leads us to believe that the framework can safely and efficiently assist human participants in completing mirror-symmetry movement.DiscussionThe framework has the potential to improve outcomes in smoother and safer mirror-symmetry training by sensing multi-kinematic features. Future studies are necessary to involve clinical trials with actual patients.
UPLC-ESI/MSn metabolic profiling of Cedrela odorata L. and Toona ciliata M. Roem and in vitro investigation of their anti-diabetic activity supported with molecular docking studies
Authors: El-Nashar Heba A. S. , Al-Qaaneh Ayman M. , Bhuia Md. Shimul , Chowdhury Raihan , Abdel-Maksoud Mostafa A. , Ebaid Hossam , Malik Abdul , Torequl Islam Muhammad , Aufy Mohammed , Elhawary Esraa A. 
Published: November 2024

IntroductionThe genus Cedrela is one of the phytochemically rich genera of the family Meliaceae. In this study, two Cedrela species, namely, Cedrela odorata and Toona ciliata M. Roem (formerly Cedrela toona), were selected for in-depth phytochemical profiling with the aid of UPLC-ESI/MSn analysis followed by evaluation of their anti-diabetic potential through assessment of in vitro α-amylase and α-glucosidase inhibitory effects, alongside the molecular docking studies on these target enzymes.Materials and methodsUPLC-ESI/MSn technique was applied to tentatively identify the extracts. The anti-diabetic properties were assessed using BioVision α-amylase and α-glucosidase inhibitor screening kits. Further, the molecular docking studies utilized PyRx® and Discovery Studio software.Results and discussionThe UPLC-ESI/MSn analysis led to the identification and quantification of 55 metabolites with their fragmentation patterns for the first time for these two species. Flavonoids represented the main identified class, followed by phenylpropanoids, terpenes, tannins, and others. The two species showed potent enzyme inhibition, where C. odorata and C. toona significantly inhibited α-amylase (IC50 = 4.83 ± 0.01 and 3.50 ± 0.03 μg/mL) compared to pioglitazone (IC50 = 2.17 ± 0.23 μg/mL), while their α-glycosidase inhibitory properties were also potent with (IC50 = 7.17 ± 0.01 and 6.50 ± 0.69 μg/mL), respectively, compared to acarbose (IC50 = 4.83 ± 1.02 μg/mL). The enzyme inhibitory activities were further confirmed by in silico molecular docking of the main identified components with the respective binding sockets in both α-amylase and α-glycosidase enzymes.ConclusionThese promising results could pave the way for a novel discovery of natural phytoconstituents with potent anti-diabetic activity.
Modulation of metabolic pathways and EndMT inhibition by a traditional Chinese herbal formula in the treatment of high-risk infections
Authors: You Hailing , Bu Kailai , Chen Liping , Sun He , Suyang WangAo , Feng Gaofei , Chen Yuan 
Published: November 2024

BackgroundHerbal products have long been utilized as remedies for various disease conditions, including infections. This study investigates the therapeutic mechanism of a traditional Chinese herbal combination in treating high-risk HPV infections.MethodsThe herbal formula was prepared using common herbs: dry Millettia speciosa, Guanzhong (a spermatophyte), Sarsaparilla, White Fruit, and Cockscomb Flower. Eight female patients diagnosed with high-risk HPV were enrolled from January to September 2023 at Shenzhen Hospital of Beijing University of Traditional Chinese Medicine. Cervicovaginal secretions were collected before and after treatment with the herbal remedy and analyzed using non-targeted metabolomics techniques. In vitro studies were conducted using HeLa cells to determine the optimal effective concentration of the remedy, assessed via the CCK8 method. The proliferation and migration of HeLa cells were evaluated using Transwell assays. Quantitative PCR was employed to measure mRNA levels of endothelial-to-mesenchymal transition (EndMT) markers, including VE-Cadherin, eNOS, α-SMA, and Snail.ResultsIn vivo, significant alterations in cervicovaginal secretion metabolites post-treatment were observed through PCA, OPLS-DA, and volcano plot analyses. KEGG enrichment analysis highlighted crucial signaling pathways such as arginine and proline metabolism, purine metabolism, glycerophospholipid metabolism, and phenylalanine metabolism, indicating the herbal combination’s systemic effects on patients. In vitro experiments demonstrated a dose-dependent reduction in HeLa cell proliferation and migration, confirmed by scratch and Transwell assays. Additionally, qPCR analysis revealed down-regulation of α-SMA and Snail, and up-regulation of VE-Cadherin and eNOS, suggesting inhibition of EndMT in HeLa cells.ConclusionThe traditional Chinese herbal combination modulates key metabolic pathways in vivo and inhibits EndMT in vitro, while reducing HeLa cell proliferation and migration. These findings highlight its potential as a therapeutic approach for managing HPV infections, bridging traditional practices with scientific research.
Chinese herbal medicine, Tongxieyaofang, alleviates diarrhea via gut microbiota remodeling: evidence from network pharmacology and full-length 16S rRNA gene sequencing
Authors: Shao Haoqing , Wang Liping , Zhang Hualing 
Published: November 2024

BackgroundTongxieyaofang (TXYF) was a traditional Chinese medicine (TCM) formula for the treatment of diarrhea with liver stagnation and spleen deficiency syndrome, but the potential targets and mechanisms have not been fully clarified. This study aims to explore the potential mechanisms of TXYF in alleviating diarrhea using network pharmacology and full-length 16S rRNA gene sequencing.MethodsNetwork pharmacology was applied to identify bioactive compounds and potential targets involved in the role of TXYF in alleviating diarrhea. Meanwhile, a model of diarrhea with liver stagnation and spleen deficiency syndrome was constructed by intragastric administration of Folium senna extract combined with restraint and tail pinch stress. The effect of TXYF on intestinal mucosal microbiota of diarrhea mice was analyzed by full-length 16S rRNA gene sequencing.ResultsNetwork pharmacology analysis showed that kaempferol, wogonin, naringenin, and nobiletin were compounds associated with the efficacy of TXYF. TXYF may alleviate diarrhea via multiple BPs and pathways, including TNF signaling pathway, IL-17 signaling pathway, and Toll-like receptor signaling pathway, which are involved in TCM-gut microbiota-host interactions. Then, we found that TXYF administration reshaped the diversity and composition of the intestinal mucosal microbial community of diarrhea mice. Lactobacillus, primarily Lactobacillus johnsonii, was enriched by the administration of TXYF. After TXYF administration, the abundance of Lactobacillus, particularly Lactobacillus johnsonii, was enriched.ConclusionOral administration of TXYF may alleviate diarrhea through remodeling intestinal mucosal microbiota. Promoting the colonization of beneficial commensal bacteria in the intestinal mucosa through gut microbiota-host interactions may be a potential mechanism of TXYF in the treatment of diarrhea.
25-Hydroxyvitamin D status does not affect energy metabolism among young, healthy, non-obese adults: a metabolic chamber study
Authors: Zhang Lin , Cai Haogang , Bai Xiaorong , Xiao Wensheng , Cao Zhen-Bo , Zhang Yang 
Published: November 2024

Purposehere is a general consensus that an inverse relationship exists between vitamin D status and body mass index (BMI) in overweight and obese individuals, leading to the hypothesis that vitamin D deficiency may contribute to the development of unfavorable metabolic phenotypes. However, evidence from non-obese adults remains limited. This study measured energy metabolism in non-obese adults using a metabolic chamber and explored its association with vitamin D status.MethodsSixty-nine healthy adults (mean age = 22.8 years, mean BMI = 20.7 kg/m2) participated in this cross-sectional study. Participants were categorized into vitamin D-deficient, insufficient, and sufficient groups based on the Chinese classification for total 25(OH)D levels (WS/T 677–2020). They performed typical daily activities in a metabolic chamber, where their baseline lipid profile, 24-hour energy expenditure, and substrate oxidation were measured.ResultsA two-way ANOVA (seasonality × 25(OH)D) revealed no statistically significant differences in total energy expenditure, resting energy expenditure, sleeping energy expenditure, walking energy expenditure, carbohydrate oxidation rate, or fat oxidation rate among the three groups (p &gt; 0.05). These results remained consistent even after adjusting for fat-free mass. Although statistically significant correlations were found between 25(OH)D status and certain lipid profile markers (i.e., total cholesterol, high-density lipoprotein, and free fatty acid) (p &lt; 0.05), these correlations were weak, with Pearson’s correlation coefficients below 0.3.ConclusionsTotal 25(OH)D status does not affect energy metabolism in young, healthy, non-obese adults. Along with existing evidence, this suggests that low 25(OH)D status is more likely a consequence of unfavorable metabolic phenotypes rather than a contributing factor.Clinical trial registrationhttps://www.chictr.org.cn, identifier ChiCTR-IIR-17010604.
Enhanced visualization of microbiome data in repeated measures designs
Authors: Little Amarise , Deek Rebecca A. , Zhang Angela , Zhao Ni , Ling Wodan , Wu Michael C. 
Published: November 2024

IntroductionRepeated measures microbiome studies, including longitudinal and clustered designs, offer valuable insights into the dynamics of microbial communities and their associations with various health outcomes. However, visualizing such multivariate data poses significant challenges, particularly in distinguishing meaningful biological patterns from noise introduced by covariates and the complexities of repeated measures.MethodsIn this study, we propose a framework to enhance the visualization of repeated measures microbiome data using Principal Coordinates Analysis (PCoA) adjusted for covariates through linear mixed models (LMM). Our method adjusts for confounding variables and accounts for the repeated measures structure of the data, enabling clearer identification of microbial community variations across time points or clusters.ResultsWe demonstrate the utility of our approach through simulated scenarios and real datasets, showing that it effectively mitigates the influence of nuisance covariates and highlights key axes of microbiome variation.DiscussionThis refined visualization technique provides a robust tool for researchers to explore and understand microbial community dynamics in repeated measures microbiome studies.
Length of stay and determinants of early discharge and extended stay after cesarean delivery in a resource-limited setting: southern Ethiopia, 2023
Authors: Kitil Gemeda Wakgari , Birgoda Gebremaryam Temesgen , Walle Agmasie Damtew , Dinagde Dagne Deresa , Feyisa Gizu Tola , Gebrehiwot Yosef Alemayehu , Degefa Bekem Dibaba 
Published: November 2024

BackgroundFor mothers and newborns to obtain the recommended postnatal care follow-up and package, the healthcare facility has to provide a minimum length of stay following delivery. Early discharge may result in a shortened recovery time, less access to resources and support, and a prolonged stay, resulting in a greater risk of postpartum depression and financial constraints. In Ethiopia, there has been no study conducted on the length of hospital stays following a cesarean delivery. Therefore, this study aimed to determine the average length of stay and identify factors influencing both early discharges and prolonged stays after cesarean delivery in southern Ethiopia.MethodsA facility-based cross-sectional study was conducted between November 23, 2022, and March 23, 2023. A systematic sampling method was used to select 367 participants, and data were collected using the Kobo Toolbox mobile application. The mean length of stay was calculated in hours, and descriptive statistics were used to summarize the data. Multinomial logistic regression was employed to analyze the determinants of length of stay, with significance set at a p-value of &lt;0.05.ResultsThe mean duration of the length of stay of mothers in health facilities after cesarean delivery is 65 h or approximately 2.71 days (SD ± 0.77). Determinants of shorter stay included women aged 20–24 years [AOR = 5.19; 95%CI 1.51–8.23], distance from hospital 30–60 min [AOR = 2.51; 95% CI 1.12–5.73], first antenatal booking [AOR = 0.16; 95%CI 0.05–0.25], monthly income &lt;2,000 birr [AOR = 3.11; 95%CI 1.18–6.05], had health insurance [AOR = 0.35; 95% CI 0.26–0.37] and had counseled [AOR = 0.09; 95%CI 0.07–0.154]. Extended stays were associated with severe pre-eclampsia [AOR = 2.80; 95%CI 2.41–3.27], multiple births [AOR = 2.51; 95%CI 1.34–4.71], and postoperative complications [AOR = 3.52; 95%CI 1.35–5.01].ConclusionThe average post-cesarean hospital stay is 2.71 days, with duration influenced by factors such as age, distance to the hospital, access to antenatal care, income, insurance, and the presence of complications. Targeted interventions, such as improving access to antenatal care, providing financial support, and proactively managing complications, can improve outcomes.
Case report: CD7-targeted autologous CAR-T therapy for the treatment of T-cell acute lymphoblastic leukemia undergoing allogeneic peripheral blood stem cell transplantation in the long-term follow-up
Authors: Li Lian-Lian , Xia Yue-Ping , Li Qianqian , Wang Peng , Sun Ping-Ping , Wang Xing-Guang , Zhang Rui 
Published: November 2024

IntroductionChimeric antigen receptor T-cell (CAR-T) therapy has emerged as a promising approach for treating relapsed/refractory (r/r) T-cell acute lymphoblastic leukemia (T-ALL). However, it is mostly used as a bridging therapy for allogeneic hematopoietic stem cell transplantation (allo-HSCT). Furthermore, secondary allo-HSCT is costly and associated with significantly high treatment-related mortality rate than the primary transplants. In this report, we present the case of an adult T-ALL patient who underwent CD7-targeted autologous CAR-T cell therapy that was not bridged with secondary allo-HSCT.Case presentationThe adult T-ALL patient relapsed for a third time after undergoing allogeneic peripheral blood stem cell transplantation (PBSCI) and achieving the first complete remission (CR1). Therefore, the patient was administered CD7-targeted autologous CAR-T cell therapy that was not bridged with secondary allo-HSCT. Towards this, the endogenous CD7-deleted CAR (CD7-CAR7) T cells were generated using CRISPR/Cas9 gene-editing technology. However, after the first infusion, the CD7 CAR-T cells did not show significant proliferation when analyzed at two weeks and the patient became positive for peripheral measurable residual disease (MRD). Therefore, after a two-week period, an augmented dose of CAR-T cells was administered. MRD was monitored in the peripheral blood and bone marrow samples. The patient achieved complete remission and did not require targeted treatment after the completion of CD7 CAR-T-cell therapy. The current follow-up data has shown that the patient is negative for MRD and has been disease-free for more than 42 months.ConclusionThe results of this case study provide evidence for the long-term efficacy of CD7-targeted autologous CAR-T-cell therapy without requiring secondary allo-HSCT in patients with r/r T-ALL that have relapsed after previous allogeneic PBSCT.
Adaptation mechanisms of Alcanivorax facilitating its predominance in marine environments
Authors: Chen Zhen , Xiang Shizheng , Lu Yao , Lai Qiliang , Dong Chunming , Li Jianyang , Li Guizhen , Shao Zongze 
Published: November 2024

IntroductionAlcanivorax, a typical alkane-degrading bacterium, has demonstrated the ability to utilize inorganic electron donor in some reports. However, a comprehensive analysis of its potentiality to utilize inorganic electron donor is still lacking.MethodsIn this study, genomic and phylogenetic analyzes were used to explore the potential oxidative capacity of inorganic compounds in Alcanivorax. And its functions were verified through physiological experiments.ResultsThe sulfur oxidation-related genes sqr and tsdA are prevalent and have various evolutionary origins. Potential genes for CO oxidation were present in 39 strains, whereas genes associated with iron, hydrogen, and ammonia oxidation were either rare or absent. The physiological functions of Sqr and TsdA were confirmed in six representative strains under heterotrophic conditions. Adding thiosulfate enhanced Alcanivorax growth. However, Alcanivorax bacteria perform sulfide detoxification through Sqr rather than by gaining energy via sulfide oxidation Although no strain was confirmed to be chemoautotrophs, we discovered that the two clades, A. xenomutans and A. profundimaris, can grow under conditions with very low organic matter.DiscussionThe ability to utilize inorganic compounds as a supplementary energy source and adapt to carbon oligotrophic growth may contribute to the prevalence of Alcanivorax in marine ecosystems.
A nested case-control study on the association of gut virome in early pregnancy and gestational diabetes mellitus
Authors: Wu Xinrui , Liu Xinpeng , Xu Wenbo , Chen Wenhui , Zhong Zixin , Tan Hongzhuan , Xiang Tianyu 
Published: November 2024

BackgroundRecent studies have increasingly shown the connection between gut microbiome and gestational diabetes mellitus (GDM). However, no studies have explored the relationship between the gut virome and GDM, and the underlying mechanism remains unknown.MethodsWe performed a nested case-control study within a follow-up cohort, enrolling 51 patients with GDM and 51 healthy controls. Shotgun metagenomics sequencing was used to explore gut virome profiles during early pregnancy.ResultsDiversity analysis revealed no difference in the overall gut virome composition between two groups, however, we found greater abundance of Escherichia phage SH2026Stx1 (Q = 0.23), Enterobacteria phage mEp043 c-1 (Q = 0.21), crAssphage cr50_1 (Q = 0.21), Enterobacteria phage phi80 (Q = 0.21), and Escherichia phage HK106 (Q = 0.23) in GDM patients. Cross-kingdom correlation analysis showed the negative correlation between the gut bacterium Eubacterium eligens and three bacteriophages (Escherichia phage SH2026Stx1, Enterobacteria phage mEp043 c-1, and Escherichia phage HK106) in GDM group (r &lt; 0, P &lt; 0.05). Based on gut microbial features and clinical indicators, we constructed a new prediction model using random forest method for GDM with good predictive performance (AUC of 0.893, 95% CI: 0.736 ∼ 0.990).ConclusionThis study is the first to investigate the relationship between the gut virome and GDM as well as the cross-kingdom correlation between gut viruses and bacteria in GDM. Our findings could enhance strategies for preventing and treating GDM from the perspective of gut microbiome, offering valuable insights into its pathogenesis.