bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reoperations as an Outcome Indicator for Developmental Dysplasia of the Hip Treated at Walking Age
Authors: Chang Chia Hsieh , Hung Chi Lun , Lee Wei Chun , Kao Hsuan Kai , Wang Shu Mei , Kuo Ken N. 
Published: January 2025

Background:
Reoperation is a major adverse event following surgical treatment but has yet to be used as a primary outcome measure in population studies to assess current treatments for developmental dysplasia of the hip (DDH). The purpose of the present study was to explore the risk factors associated with reoperations following procedures under anesthesia (“operations”) for DDH in patients between the ages of 1 and 3.00 years, with the goal of deriving treatment recommendations.

Methods:
This retrospective birth cohort study included children who had undergone closed reduction, open reduction, or osteotomy for the treatment of unilateral DDH between the ages of 1 and 3.00 years, identified using the Taiwan National Health Insurance Research Database. The children were followed until 10 years of age for reoperations, excluding implant removal and sequential closed reduction within 3 months postoperatively. A comparison between patients with and without reoperations was conducted, and binary logistic regression was used to identify factors associated with reoperation. Patients were further stratified by age and procedure for developing treatment recommendations.

Results:
Among 2,261,455 live births from 2000 to 2009, 701 patients underwent operations for unilateral DDH between 1 and 3.00 years of age (an incidence of 31.0 per 1,000 live births). The initial operations included closed reduction (n = 86; mean age, 1.34 years), open reduction (n = 73; mean age, 1.53 years), pelvic osteotomy (n = 405; mean age, 1.59 years), femoral osteotomy (n = 93; mean age, 1.76 years), and pelvic osteotomy plus femoral osteotomy (n = 44; mean age, 1.84 years). Reoperations were performed in 91 patients (13%) at a mean age of 3.80 years. Comparison between patients with and without reoperations revealed the operative procedure as a significant factor. Logistic regression revealed that closed reduction was associated with a 1.8 to 9.0 times higher reoperation risk than open reduction, depending on age, whereas pelvic osteotomy was associated with 0.34 times the risk of reoperation than open reduction in patients 1.5 to 2.0 years of age.

Conclusions:
Reoperations may not be directly linked to radiographic and functional outcomes but are important from the patient’s perspective and in terms of cost-effectiveness. To reduce the risk of reoperation, the findings of the present study support open reduction to properly reduce the hip joint at walking age and additional pelvic osteotomy for patients beyond 1.5 years of age.

Level of Evidence:
Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
OPTIMASI KUAT TEKAN DAN PENYERAPAN AIR PAVING BLOCK MENGGUNAKAN AKS ADDITIVE
Authors: Mulyati Mulyati , Nurul Fausi Muhammad 
Published: January 2025

Penelitian ini menggunakan AKS additive sebagai bahan tambah untuk campuran pembuatan paving block. Tujuan dari penelitian ini adalah untuk mengetahui nilai kuat tekan dan penyerapan air paving block optimum dari penambahan AKS additive ke dalam bahan campuran pembuatan paving block. Perbandingan campuran semen dan pasir dalam pembuatan paving block digunakan 1:3, dan penambahan AKS additive 0%, 1,6%, 1,7%, 1,8%, 1,9%, dan 2,0% dari berat semen. Benda uji paving block menggunakan cetakan dengan ukuran 20 cm x 10 cm x 6 cm. Pengujian kuat tekan dan penyerapan air paving block dilakukan pada umur 28 hari. Hasil penelitian menggunakan AKS additive sebagai bahan tambah campuran pembuatan paving block dapat meningkatkan kuat tekan dan menurunkan penyerapan air. Kuat tekan rata-rata tertinggi sebesar 12,67 MPa dan penyerapan air rata-rata terendah sebesar 7,06% diperoleh pada penggunaan 1,9% AKS additive, memenuhi persyaratan paving block mutu C digunakan untuk trotoar atau pejalan kaki.
ANALISIS KINERJA ALGORITMA PEMBELAJARAN MESIN ENSEMBEL PADA DATASET MULTI KELAS CITRA JAFFE
Authors: Azis Huzain , Alisma Alisma , Purnawansyah Purnawansyah , Nirmala Nirmala 
Published: January 2025

This research aims to develop a facial expression recognition system based on the JAFFE dataset which includes seven classes of emotional expressions, namely happy, sad, angry, afraid, disgusted and neutral expressions. The first step taken is canny segmentation on each dataset to maintain essential information on each face. Next, extraction was carried out using the hu moments method to gain an in-depth understanding of the important characteristics of facial expressions. The next process involves ensemble voting using five classification methods, namely Naive Bayes (NB), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Gaussian Process Classifier (GPC), and Decision Tree. The results of these five methods are then ensembel using voting techniques, and the final results are evaluated using performance metrics such as accuracy, precision, recall, and F-1 score. Evaluation is carried out by comparing the final results with the original data from the JAFFE dataset, by measuring accuracy , precision, recall, and F1 Score value to evaluate system performance. The results of this research show that the ensemble voting approach using a combination of classification methods is able to significantly improve facial expression recognition capabilities. The resulting accuracy, precision, recall, and F1 Score values provide a comprehensive picture of system performance. This research contributes to the development of facial emotion recognition technology and can be applied in various contexts. Includes human-computer interaction as well as applications in the fields of artificial intelligence.Keywords: Performance Analysis, Ensemble, Jaffe Image, Classification, Multiclass
Maternal Plasma Cell-Free RNA as a Predictor of Early and Late-Onset Preeclampsia Throughout Pregnancy
Authors: Garrido-Gómez Tamara , Castillo-Marco Nerea , Cordero Teresa , Igual Marina , Muñoz-Blat Irene , Gómez-Álvarez Carla , Bernat-González Neus , Gaspar-Doménech Ángela , Ortiz-Domingo Érika , Vives Alba , Ortega-Sanchís Sheila , Monfort-Ortiz Rogelio , Volkov Petr , Delgado Juan Luis , Hernandez-Hernandez Laura , Canovas Esther , Gil Maria M , Santacruz Belén , Gonzalez-Gonzalez Nieves Luisa , Plasencia Walter , Perales-Marín Alfredo , Marcos-Puig Beatriz , Palacios Ana , Corcóstegui Iñigo Melchor , Martin-Martinez Alicia , Benitez-Delgado Taysa , Simon Carlos 
Published: January 2025

Abstract

Early-onset (EOPE) and late-onset preeclampsia (LOPE) pose significant challenges to maternal and child health, highlighting the need for early, non-invasive risk identification. In this prospective longitudinal study, we followed 9,586 pregnant women, collecting blood samples each trimester: 9-14 weeks (T1), 18-28 weeks (T2), and after 28 weeks or at preeclampsia diagnosis (T3). Plasma cell-free RNA (cfRNA) signatures were analyzed in women who developed EOPE (n=42) or LOPE (n=43) and compared to matched normotensive controls (n=75). Mapping cfRNA origins and performing differential abundance analysis provided insights into multi-organ impacts, revealing distinct transcriptional features of EOPE and LOPE. We developed a first-trimester EOPE predictive model using 36 transcripts, achieving 83% sensitivity, 88% specificity, and an AUC of 0.85, detecting risk 18.0 weeks before onset. A second-trimester model based on 87 cfRNA transcripts, predicted EOPE 8.5 weeks prior to onset with 87% sensitivity, 84% specificity, and an AUC of 0.85. For LOPE model, detecting risk 14.9 weeks before onset, used 92 cfRNAs, with 86% sensitivity, 89% specificity, and an AUC of 0.88. EOPE models were enriched for decidua-associated transcripts, highlighting the maternal involvement in this subtype, while LOPE models showed diverse tissue responses, paving the way for improved subtype differentiation and tailored interventions to mitigate preeclampsia risks.
Impact of pre-treatment strategies for enhance conversion of Irish Brown Seaweed into high value ingredients using a biorefinery approach.
Authors: Han Yiting , Tan Xinyu , Fitzpatrick Stephen , Lyons Henry , Zhu Xianglu , Tiwari Brijesh K 
Published: January 2025

Abstract

This paper investigates the impact of different pre-treatments on the bio-refinery processes of wild-harvested Irish brown seaweeds, specifically Ascophyllum nodosum and Fucus vesiculosus. Employing a combination of mechanical and chemical methodologies, including drying, soaking, and the application of specific reagents, we aimed to optimize the extraction of valuable polysaccharides such as laminarin, fucoidan, and alginate, alongside protein recovery. The research highlighted the significant influence of pre-treatment methods on extraction efficiencies and polysaccharide purity, indicating that drying is beneficial for improving the purity and yield of laminarin and fucoidan, with laminarin purity as high as 61.46% in Ascophyllum nodosum. The study also demonstrates a complex interplay in alginate extraction across different treatments, with fresh treatments achieving up to 93.15% purity in Fucus vesiculosus. FT-IR provided insight into structural alterations and functional group exposure of extracted polysaccharides, indicating the potential of pre-treatment strategies in enhancing the yield and quality of bioactive compounds. These findings advance our understanding of seaweed bio-refinery processes and underscore the importance of pre-treatment selection in maximizing the sustainable utilization of marine resources for pharmaceutical, nutraceutical, and agricultural applications.
HACD3 promotes the malignant progression of NSCLC by weakening the scaffold between MMK7 and MAPK10
Authors: Xiaoying Wang , Huijun Liang , Qindan Du , ying Li , Yong Zhao 
Published: January 2025

Abstract

Background: HACD3 is from the very long-chain fatty acid dehydratase family and exhibits only mild activity while producing long-chain fatty acids. Numerous studies have uncovered an association of HACD3 with the advancement of diverse cancers. The current study attempts to delve into the potential role of HACD3 in initiating and enhancing lung cancer.
Methods: The study assesses the expression of HACD3 in non-small cell lung cancer (NSCLC) patient samples. Additionally, the effects of HACD3 knockdown and overexpression have been explored on in vitro cell proliferation, colony formation, invasion, migration, and cell cycle progression in lung cancer cells, along with in vivo tumorigenesis inside NSG mice. Furthermore, the current study successfully developed a lung cancer model using HACD3 systemic knockout mice formed using Urethan. Transcriptomics helped identify the target of HACD3 promoting NSCLC progression, followed by validation using different experiments. A truncated plasmid and peptide segment of HACD3 was constructed, followed by screening the specific segment promoting lung cancer progression.
Results: The results demonstrate that HACD3 is highly expressed in cancer tissues and cells while promoting the malignant progression of NSCLC cells. Downregulating HACD3 activates the MAPK pathway in cancer cells. The specific HACD3 fragment promoting cancer progression is located at aa231-259.
Conclusions: The above results indicate that the fatty acid dehydratase HACD3 promotes the malignant progression of lung cancer by suppressing the MAPK pathway. Thus, targeting HACD3 could be a new approach to treating lung cancer.
New Location Algorithm with Primary User Based on Scatter Information in Cognitive Radio
Authors: Ye Dan , Chen Kwang-Cheng 
Published: January 2025

Abstract

In cognitive radio network, if cognitive user conflicts with primary user during the spectrum sensing, it should concede avoiding the effect of communication with primary user. The paper initiates a new sensing method using scatter information around mobile users to locate primary user. The multi-group TOA (Time of Arrival) and AOA (Angle of Arrival) provided by two base stations are measured based on the single reflect statistics channel model under NLOS environment. An innovative location algorithm, proposed in this paper, which combines neural network with the weighted centroid algorithm to achieve primary user’s location. The proposed algorithm can make great improvement on the location accuracy by effectively mitigating NLOS error in cognitive radio networks. Another contribution of the proposed algorithm is the benefit to the cognitive performance which can be characterized by the probability of spectrum coexistence. The results under different simulation circumstances illustrate that the current location algorithm improves detection performance and location performance to obtain more exact probability of spectrum coexistence.
Macrophage efferocytosis controls tissue repair via mitochondrial dynamics in diabetic periodontitis
Authors: Liu Hongrui , Jiang Yujun , Sun Changyun , Guo Jie , Li Minqi 
Published: January 2025

Abstract

Objective
Diabetes induces disorders in macrophage immunometabolism, leading to increased destruction of periodontal tissue. Identifying key factors to restore metabolic alterations and promote resolution of inflammation remains an unmet objective.
Methods
In the present study, the effect of macrophage efferocytosis on inflammatory regression and tissue repair was assessed using diabetic periodontal disease (DPD) model. The mitochondrial function of macrophages cultured under different conditions was assessed in vitro, and macrophage efferocytosis function and polarization phenotypes were examined. Osteogenic differentiation and migration capacity were examined using periodontal ligament stem cells (PDLSCs) co-cultured with macrophages to assess the effect on tissue repair.
Results
We demonstrated that the high-glucose inflammatory microenvironment exacerbated the pro-inflammatory metabolic profile of macrophages and disrupted mitochondrial dynamics. Rats with DPD exhibited heightened periodontal tissue damage during the ligation period, characterized by increased neutrophil infiltration and apoptotic cells. Following ligature removal, the transition to the repair phase was inhibited. Impaired efferocytosis in macrophages led to reduced expression of anti-inflammatory cytokines. Inhibiting excessive mitochondrial division mitigated macrophage damage, ultimately improving the osteogenic differentiation and migration of PDLSCs.
Conclusions
These data suggested the critical role of mitochondria in the resolution of inflammation in diabetic periodontitis through regulating macrophage efferocytosis and interaction with PDLSCs.
FERMENZA ® : A patented bioactive fermented product developed through process optimization
Authors: Ghosh Sudip , Bhattacharya Munna 
Published: January 2025

Abstract

Background: This study investigates the comparative impact of fermentation versus conventional extraction methods on the bioactive potency of "FERMENZA," a patented, affordable, natural fermented cider-based topical formulation.
Methodology and Results: Through comprehensive in vitro analysis, the fermented extract demonstrated superior antioxidant efficacy, with an IC50 value of 0.77 ± 0.03 mg/mL, significantly outperforming solvent and steam-distilled extracts, which showed IC50 values of 2.49 ± 0.01 mg/mL and 4.11 ± 0.03 mg/mL, respectively. Notably, nitric oxide (NO) scavenging activity of the fermented extracts was markedly higher than that of conventional extracts, with IC50 values ranging from 1.12 ± 0.03 to 2.29 ± 0.03 mg/mL. Fermentation also enhanced total phenolic content (TPC), with mixed fruit extracts (pomegranate-beetroot, banana-papaya) reaching TPC levels of 2.43 ± 0.03 mg GAE/g, surpassing individual and conventionally processed samples. The study employed Quality by Design (QbD) approach to optimize fermentation conditions, achieving peak yields of gallic acid (GA) and TPC at 35°C and 72 hours, which further validating the process affordability. Under these conditions, the fermented extracts demonstrated exceptional antimicrobial properties against E. coli, S. aureus, P. aeruginosa, P. acne, and M. furfur, with minimum inhibitory concentration (MIC) values ranging from 0.25 mg/mL to 0.60 mg/mL, superior to those observed in conventionally extracted samples.
Conclusion: These findings highlight the efficacy of fermentation in enhancing bioactive compound availability, positioning FERMENZA® as a potent fermented formulation for probable skin and hair related cosmoceutical applications.
Efficient GPT-4V Level Multimodal Large Language Model for Deployment on Edge Devices
Authors: Yao Yuan , Yu Tianyu , Zhang Ao , Wang Chongyi , Cui Junbo , Zhu Hongji , Cai Tianchi , Chen Chi , Li Haoyu , Zhao Weilin , He Zhihui , Chen Qianyu , Zhou Ronghua , Zou Zhensheng , Zhang Haoye , Hu Shengding , Zheng Zhi , Zhou Jie , Cai Jie , Han Xu , Zeng Guoyang , Li Dahai , Liu Zhiyuan , Sun Maosong 
Published: January 2025

Abstract

The recent surge of Multimodal Large Language Models (MLLMs) has fundamentally reshaped the landscape of AI research and industry, shedding light on a promising path toward the next AI milestone. However, significant challenges remain preventing MLLMs from being practical in real-world applications. The most notable challenge comes from the huge cost of running an MLLM with a massive number of parameters and extensive computation. As a result, most MLLMs need to be deployed on high-performing cloud servers, which greatly limits their application scopes such as mobile, offline, energy-sensitive, and privacy-protective scenarios. In this work, we present MiniCPM-V, a series of efficient MLLMs deployable on edge devices. By integrating the latest MLLM techniques in architecture, pre-training and alignment, the latest MiniCPM-Llama3-V 2.5 has several notable features: (1) Strong performance, outperforming GPT-4V-1106, Gemini Pro and Claude 3 on OpenCompass, a comprehensive evaluation over 11 popular benchmarks, (2) strong OCR capability and 1.8M pixel high-resolution image perception at any aspect ratio, (3) trustworthy behavior with low hallucination rates, (4) multilingual support for 30+ languages, and (5) efficient deployment on mobile phones. More importantly, MiniCPM-V can be viewed as a representative example of a promising trend (Fig. 1): The model sizes for achieving usable (e.g., GPT-4V) level performance are rapidly decreasing, along with the fast growth of edge computation capacity. This jointly shows that GPT-4V level MLLMs deployed on end devices are becoming increasingly possible, unlocking a wider spectrum of real-world AI applications in the near future.
Effectiveness of Low-Cost, Virtual Sexual Health Education and Educational Leaflets on Reducing Anxiety and Enhancing Sexual Function among Infertile Women: A Pilot Randomized Controlled Trial
Authors: Karimi Mahdiyeh , Heshmatnia Fatemeh , Azima Sara , Akbarzadeh Marzieh , Thapa Subash 
Published: January 2025

Abstract

Background and Aims: Anxiety is one of the common mental illnesses affecting sexual functions among infertile women. Information and education interventions might be effective in facilitating their coping with anxiety disorder which lead to improved sexual functions and psychological wellbeing. This is the first trial to pilot-test the effectiveness of sexual health education, delivered through virtual sessions and educational booklets, in improving both psychological (reduced anxiety scores) and physical (increased sexual function) outcomes among women with infertility in Iran.
Methods: In this triple-blind pilot randomized controlled trial, 90 women seeking medical treatment for infertility were randomly divided into three groups: (a) control, (b) educational booklet,and (c) virtual education. Participants in the virtual education group received six sessions of sexual health education through educational video using the WhatsApp social network. The primary outcomes included anxiety and sexual function scores measured before and six weeks after the intervention.
Results: The results showed that, after the intervention, state anxiety scores were significantly lower in the booklet (29.27 ± 4.5, p < 0.001) and virtual education groups (13.77 ± 11.6, p < 0.001) compared with the control (49.26 ± 6.86). Similarly, trait anxiety scores significantly decreased in the booklet (27.03 ± 6.29, p < 0.001) and virtual education groups (31.66 ± 11.63, p < 0.001) compared with the control (45.93 ± 6.52). Post-intervention, there were significant differences between the intervention and control groups in four dimensions of sexual function: sexual desire, sexual stimulation, orgasm, and sexual satisfaction. The virtual education and booklet groups did not show a statistically significant difference in the mean scores of state and trait anxiety, and sexual function.
Conclusion: Psychoeducation interventions via virtual education sessions or educational booklets appear to reduce the level of anxiety and positively affect sexual functions associated with infertility. Women seeking treatment for infertility may benefit from psychoeducational interventions, though further studies with larger sample sizes are needed to confirm these findings.
The Impact of Urbanization on Green Finance Development in Chinese Cities
Authors: Kouam Arthur William Fodouop 
Published: January 2025

Abstract

This study explores the intricate relationship between urbanization dynamics and the development of green finance initiatives in Chinese cities, addressing a critical gap in the existing literature. Utilizing a pragmatic research paradigm, we employed robust quantitative methodologies, including descriptive statistics, correlation analysis, and Ordinary Least Squares (OLS) regression analysis, to evaluate data from 100 urban centers across China. Our empirical model examines how urbanization influences green finance investments and environmental outcomes, highlighting supportive policy environments' mediating role. Key findings reveal a positive correlation between urbanization rates and the development of green finance initiatives, alongside a reciprocal relationship that enhances effective policy formulation. This study contributes original insights into the complexities of urbanization and green finance, demonstrating that green finance alleviates negative environmental impacts and promotes economic resilience. The findings provide practical implications for policymakers, financial institutions, and urban planners, emphasizing the necessity for integrated strategies that foster sustainable development in rapid urban growth.
JEL codes: O18, Q28, R58, H76