bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surgical treatments of metastatic bone disease of the hip joint：A scoping review protocol
Authors: Mao Li , Liu Jiling , Feng Dagang , Tang Jianyuan 
Published: December 2023

Abstract
Background
Metastatic disease of the hip causes severe pain and is a serious threat to the patient's motor function. Surgery is required, but the actual efficacy is unclear and there are many concerns for both patients and doctors. The purpose of this protocol is going to conduct a scoping review for helping decisions of intended audience.
Methods
This scoping review will be conducted according to the framework proposed by Arksey and O'Malley and reported in accordance with PRISMA-ScR criteria. To answer our research questions, we will search Chinese and English databases using appropriate search terms, comb through clinical studies on surgical procedures for metastatic bone disease of the hip and incorporate visual charts and graphs to provide a comprehensive analysis and evaluation of the literature according to the criteria for basic characteristics, interventions, and outcome indicators.
Result
An article will be drafted to reflect a scoping review about surgical managements of metastatic bone disease of the hip.
Conclusion
The results of this review will go beyond previous studies, and attempt to fully understand the clinical evidence, demonstrating the importance of hip-related surgery in bone metastatic disease, to provide reference evidence for patients, doctors, and policymakers.
Registration
This protocol was not prospectively registered in any literature review databases, due to their reluctance to accept this kind of review protocol.
Fertility-sparing surgery in children and adolescents with borderline ovarian tumors: A retrospective study
Authors: Zhao Jiayuan , Wang Dan , Wang Ruojiao , He Yonglan , Jia Congwei , Pan Lingya , Ma Shuiqing , Wu Ming , Wang Weidi , Cheng Xinghan , Yang Junjun , Xiang Yang 
Published: December 2023

Abstract

Objective
To describe the characteristics of children and adolescents with borderline ovarian tumors (BOTs) and evaluate the efficacy and safety of fertility-sparing surgery (FSS) in these patients.
Methods
Patients with BOTs aged 21 years or younger who underwent FSS were included in this study.
Results
A total of 38 patients were included, with a median patient age of 17 (range, 3–21) years; 97.4% (37/38) of cases occurred after menarche. Of the patients, 78.9% had mucinous borderline tumors (MBOTs), 18.4% had serous borderline tumors (SBOTs), and 2.6% had seromucinous borderline tumor. The median tumor size was 20 cm (range, 8–40 cm). The median preoperative carcinoma antigen 125 level was 47.5 U/mL. All patients were at International Federation of Gynecology and Obstetrics stage I and all underwent FSS: cystectomy (18/38; 47.4%), unilateral salpingo-oophorectomy (USO; 19/38; 50%), or USO + contralateral ovarian cystectomy (1/38; 2.6%). The median follow-up time was 57 (10–148) months. Recurrence was experienced by 13 of the 38 patients (34.2%). One patient with SBOT experienced progression to low-grade serous carcinoma after the third relapse. Two patients went on to have a total of four pregnancies, resulting in two live births. The 5-year disease-free survival rate was 65.8%, and the 5-year overall survival rate was 100%.
Conclusions
FSS is feasible and safe for children and adolescents with BOTs. For patients with MBOTs, USO is recommended to lower the risk of recurrence.
Judges and Court Productivity: Evidence from Spanish Labour Courts
Authors: Martín-Román Ángel , Moral Alfonso , Rosales Virginia 
Published: December 2023

Abstract
This paper aims to determine if the number and the type of judges acting in the court have a significant effect on courts’ productivity, proxied by the “Resolution Rate”. From a methodological point of view, the acting of other judges in the court, besides the incumbent judge, will be considered as a treatment. To account for the effects, impact evaluation techniques will be used. In addition, different control covariates as economic determinants and other factors closely related to the judicial activity will be empirically analysed, taking into account possible endogeneity problems related to the treatment variable. For this purpose, we will use the annual judicial statistic published by the General Council of the Judiciary with information from almost 350 Spanish Social Courts from 2005 to 2019.
Correlation of visual system biomarkers with motor-sensory deficits in experimental autoimmune encephalomyelitis-optic neuritis
Authors: Elwood Benjamin W , Godwin Cheyanne R. , Anders Jeffrey J. , Kardon Randy H. , Gramlich Oliver W. 
Published: December 2023

Abstract
Experimental autoimmune encephalomyelitis (EAE) scoring, the most commonly used primary outcome metric for an in vivo model of multiple sclerosis (MS), is highly variable and subjective. Here, we explored the use of visual biomarkers in EAE as more objective and clinically relevant primary outcomes. Motor-sensory impairment in myelin oligodendrocyte glycoprotein-immunized C57BL/6J mice was quantified using a 5-point EAE scoring scheme. Pattern electroretinography (pERG) and retinal ganglion cell / inner plexiform layer (RGC/IPL) complex thickness were measured 60 days after induction. Optic nerve histopathology was analyzed at endpoint. EAE mice displayed motor-sensory impairments ranging from mild to severe. Significant correlations were seen between pERG amplitude and last EAE score, mean EAE score, and cumulative EAE score. Optical coherence tomography (OCT) analysis demonstrated a significant correlation between thinning of the RGC/IPL complex and both the cumulative EAE score and the pERG amplitude. Optic nerve histopathology showed significant correlations between demyelination and cumulative EAE score, pERG amplitude, and RGC/IPL complex thickness, as well as between immune cell infiltration and cumulative EAE score, pERG amplitude, and RGC/IPL complex thickness in EAE mice. Unlike EAE scoring, pERG and OCT show direct measurement of retinal structure and function. Therefore, we conclude that visual outcomes are well-suited as a direct assessment of optic nerve involvement in this EAE model of MS, while also being indicative of motor-sensory impairment. Standardizing parameters could lead to a more rapid and robust model for testing new therapeutic approaches for mitigating MS by utilizing deep learning and artificial intelligence.
A New Classification Method for Pulmonary Ground-Glass Nodules Using Radiomics Approach
Authors: Wang Hongya , Yang He , Huang Ruohan , Wang Kun , Rui Qianren , Chen Liang , Xu Xinfeng , Zhu Quan 
Published: December 2023

Abstract
Purpose
To create new method utilizes radiomics to classify ground-glass nodules (GGNs).
Methods
A total of 855 patients with lung adenocarcinoma, presenting GGNs of size ≤ 3cm, were included in the study. The radiomics features were dimensionally reduced using the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm and clustered with the K-Means algorithm. Single-factor analysis was conducted to compare patient conditions across different clusters. Finally, the new classification method was compared with the method used two-dimensional (2D) computed tomography (CT) features to verify the efficacy of the novel approach.
Results
The nodules were clustered into two groups, A and B. Single-factor analysis revealed significant statistical differences between the two groups in terms of age, smoking history, nodule diameter, solid component diameter, and the consolidation tumor ratio (CTR). Group A primarily comprised non-invasive adenocarcinoma (non-IAC) (81.2%) and low-risk nodules (75.9%), while group B primarily comprised invasive adenocarcinoma (IAC) (85.8%) and medium-high risk nodules (77.4%). In terms of predicting IAC and medium-high risk nodules, the new method performed better.
Conclusion
The new classification method effectively utilizes radiomics information and offers significant guidance for the management of various GGNs categories, exhibiting notable advantages over traditional methods.
Overflow simulation and optimization of a drainage system in an urban area in northern Anhui Plain
Authors: Wan Yun , Li Mingjun , Zhang Nan , Li Yuxuan , Huang Peiqing , Zhang Houkuan , Huang Hao , Wei Wei , Zhu Shuguang 
Published: December 2023

Abstract

Quantitative simulation of urban waterlogging using computer models is an effective technical means for urban stormwater management, especially for predicting and preventing waterlogging. In this study, a city in northern Anhui Plain, China, was selected as the study site. The Storm Water Management Model was applied to simulate the dynamic changes in the pipeline overload, node overflow, and discharge port runoff characteristics from three perspectives: surface runoff, pipe network transmission, and flow control of low-impact development. The operation of the rainwater pipe network under different return periods and the real-time operation of the rainwater pipe network were simulated to seek solutions to urban waterlogging problems caused by flat terrain and slow drainage. The results revealed that surface runoff is the primary source of rainfall in the study area, with a runoff coefficient of 0.599. The drainage pipe network was optimized by expanding the diameter of the pipe from ≤ 1.5 mm to ≥ 2 mm. The water reduction rate was more than 50%, and overload did not occur after optimization. Therefore, sinking greenspace technology and optimization methods for expanding the pipe diameter can reduce urban waterlogging.
Mapping and analyzing the spatial drivers of Chinese subtropical forests features from Gaofen 1 satellite imagery
Authors: González-Rodríguez M.A. , P. Zhou 
Published: December 2023

Abstract
Understanding the spatial variations of forest features and their underlying drivers is crucial for managing and preserving forest ecosystems. Remote sensing techniques, due to their vast spatial coverage, are proving an essential tool for mapping and analyzing the complex spatial patterns of forests characteristics. In the current study, we use high-resolution Gaofen 1 satellite imagery to map features, such as biomass, biodiversity, and habitat type, of the subtropical forests in the Nanling area, a major biodiversity hot spot in the south of China; for subsequently analyzing the association between forest features and environmental drivers. We based our modeling approach on a semi-supervised fully convolutional neural network consisting of a ResNet architecture and a masking and aggregation module for computing predictions for forest survey plots of varied sizes. The fitted convolutional models yielded very high performance statistics, with test R2 values above 0.90 for basal area, aboveground biomass and Shannon diversity index regressions, slightly lower values for the regression of species richness (R2=0.83), and average test classification accuracy of forest types of 0.89, with lower performance for infrequent forest types, such as dwarf forests. The association analysis between predicted maps of forest features and environmental drivers revealed significant correlations being the strongest drivers the altitude, nitrogen content and climate variables, such as mean annual precipitation and temperature. Altitude was strongly associated with dwarf forests and high basal area and high aboveground biomass locations. Basal area and aboveground biomass were also positively influenced by annual rainfall and soil nitrogen and carbon, and negatively by temperature and radiation variables. Species richness was associated with high nitrogen and carbon contents, while the Shannon diversity index showed overall mild correlations with most drivers, with no remarkable patterns. We concluded that our semi-supervised convolutional approach using Gaofen 1 imagery proved useful for modeling the spatial distribution of the subtropical forests in Nanling; however, more research and data collection is necessary to improve the performance of species richness modeling and segmentation of infrequent forest types. Moreover, the strong associations found between climate, and predicted maps of biomass and forest types, provided key insights into the potential repercussions of climate change on Nanling forests.
Phase II trial of romidepsin as consolidation therapy after gemcitabine, dexamethasone, and cisplatin in elderly transplant-ineligible patients with relapsed/refractory peripheral T- cell lymphoma
Authors: Yamasaki Satoshi , Iida Hiroatsu , Saito Akio , Matsumoto Morio , Kuroda Yoshiaki , Izumi Tohru , Saito Akiko M. , Miyoshi Hiroaki , Ohshima Koichi , Nagai Hirokazu , Iwasaki Hiromi 
Published: December 2023

Abstract

Romidepsin is an important therapeutic option for patients with peripheral T-cell lymphoma (PTCL). However, the timing of romidepsin administration remains controversial. The objective of this study was to characterize the safety and efficacy of romidepsin as consolidation therapy after gemcitabine, dexamethasone, and cisplatin (GDP) therapy (GDPR). This study of patients treated between March 2019 and March 2021 was registered with the Japan Registry of Clinical Trials (registration number: jRCT0000000519). If complete response, partial response, or stable disease was confirmed after 2–4 GDP cycles, romidepsin was administered every 4 weeks until 1 year. The outcomes of patients participating in this prospective study (PTCL-GDPR) who were receiving GDPR between 2000 and 2015 before starting this trial were retrospectively reviewed. Seven patients with relapsed/refractory (R/R) PTCL [T-follicular helper phenotype (n = 1) and angioimmunoblastic T-cell lymphoma (AITL, n = 6)] were included in PTCL-GDPR. The outcomes of eight patients with R/R PTCL not otherwise specified and seven patients with AITL were retrospectively reviewed. After a median follow-up of 34, 63, and 65 months in patients in PTCL-GDPR and the retrospective cohorts with PTCL-NOS and AITL, respectively, the 2-year OS rates were 71%, 100%, and 100%, respectively, and the overall response rates after treatment were 57%, 100%, and 100%, respectively. Common adverse events in patients in PTCL-GDPR included hematological toxicities such as neutropenia, which improved with supportive treatment. There were no treatment-related mortalities. GDPR might be safe and effective in elderly transplant-ineligible patients with R/R PTCL, and further investigation is warranted.
Influence of hybrid Ramie-steel fibers on the mechanical and durability properties with optical photograph analysis of partially replacement of natural coarse aggregate by treated recycled coarse aggregate in concrete: Step towards a novel and eco-friendly hybrid-fiber reinforced concrete
Authors: M.SRI  , SIDHAARTH K.R.ASWIN 
Published: December 2023

Abstract

This study reports the experimental results of plain concrete and HFRC incorporating ramie and hooked-end steel fibers. In order to prevent the natural resources, M-Sand was used fully instead of natural river sand and 50% of treated RCA and 50% natural coarse aggregates was used for all hybrid fiber reinforced concrete specimens and for plain specimen natural coarse aggregate was used. Ramie fibers is a natural fiber belongs to the family of urticaceae. In this investigation, 17 different mixes were prepared, in that one is plain concrete and the remaining 16 is hybrid fiber reinforced concrete specimens. Ramie fiber and hooked-end steel fibers were utilized in different proportions. Steel fibers of different forms were available. M20 grade mix were prepared in this investigation. Utilization of ramie fiber makes a way to create an eco-friendly environment and sustainable development. Compressive strength, split tensile strength, flexural strength, modulus of elasticity and impact test were conducted to determine the mechanical properties of the plain specimen and HFRC specimens. Water absorption, Acid attack test, Sulphate attack test, Artificial marine attack test were conducted to examine the durability properties of the plain specimen and the HFRC specimens. Above mentioned tests were conducted and tested at different curing days. Due to the synergistic effects of fibers in hybrid form results enhanced strength than plain specimen. Performances of the HFRC specimens in terms of both mechanical and durability highly increases when compared to the plain samples. A new ITZ was formed between the cement paste and the aggregates and it was marked in optical photograph analysis.
Characterization of oral health determinants among a community of participants of a senior activity program
Authors: Costa Helder , Amaral Odete , Correia Maria José , Couto Patrícia , Correia Patrícia , Silva Ana Margarida , Lopes Pedro , López-Marcos Joaquin Francisco , Veiga Nélio Jorge 
Published: December 2023

Abstract
Background
High average life expectancy has caused an increase in the elderly population and with it the need to characterize this population regarding their health and in particular their oral health arises. The purpose of this study was to assess and characterize oral health, oral rehabilitation, oral health literacy and oral health perception and quality of life in a sample of elderly participants of a physical activity program.
Methods
An observational cross-sectional study was designed with a group of 206 individuals. All the individuals were clinically assessed, and a questionnaire was applied, in the form of a "face-to-face" interview with questions related to the quality of life related to oral health (GOHAI index and the REALD-30 scale).
Results
Of the 206 study participants, 90.3% admit brushing their teeth daily, 6.3% practice daily flossing, and 5.8% had a dental appointment in the last 12 months. Applying the REALD-30 scale, 22.7% have a low level (score 0–14), 43.7% a moderate level (score 15–22) and 33.6% a high level (score 23–29) of oral health literacy. The GOHAI scale reveals that 37.4% have a high self-perception of their oral health.
Conclusions
A considerable prevalence of the sample studied present a moderate level of oral health literacy. Therefore, educate each person about their oral health when participating in a specific health program and develop proposals for oral health promotion activities should be widely considered as a strategy towards primary prevention.
Ulnar fracture after pancarpal arthrodesis: a case report
Authors: Keider Stefan , Polajnar Petar 
Published: December 2023

Abstract
Background: An ulnar fracture is a complication not previously described following pancarpal arthrodesis.
Case presentation: An 8-year-old neutered mixed-breed female dog weighing 28 kg was presented with mild front limb lameness 4 weeks after pancarpal arthrodesis.
Orthopedic examination revealed discomfort during the antebrachial manipulation. Radiographic examination revealed an ipsilateral diaphyseal ulnar fracture and periosteal reactions in the area of the fracture and the adjacent radius. Surgical stabilization of the ulna was not achieved. Cage rest was recommended for 4 weeks.
The canine patient showed no lameness on clinical examination 2 weeks later. Periosteal reactions observed in X-ray control disappeared 8 weeks postoperatively. The ulnar fracture showed delayed union evident on radiographs at 17 weeks postoperatively.
Conclusions: Since this is the first report of an ulnar fracture after pancarpal arthrodesis, there are no treatment recommendations for this complication. Based on the clinical outcomes of this case, conservative treatment of ulnar fractures after pancarpal arthrodesis is a viable option.
Enlarged posterior column osteotomy plus intervertebral cage strutting as a exploratory surgery for lumbosacral Nerve bowstring disease: a retrospective retrospective study
Authors: Liu Yilei , Yuan Hongru , Yang Puxin , Liu Qingtao , Guo Zhiyuan , Xu Xingzhu , Wang Hui , Ding Wenyuan 
Published: December 2023

Abstract
Background: To explore the surgical outcome of enlarged posterior column osteotomy plus intervertebral cage strutting for patients with lumbosacral nerve bowstring disease.
Methods:The clinical data of 27 patients with bowstring disease that surgically treated with Enlarged posterior column osteotomy plus intervertebral cage strutting from January 2018 to March 2021 were retrospectively reviewed. Patient demographics including age, gender, body mass index (BMI), duration, length of hospital stay, SF-36 were recorded. Surgical data including operation time, blood loss, surgical level, and complications were recorded. Inter-pedicle distance and regional lumbar lordosis was measured at lateral X-ray at both pre- and postoperative.
Results:All patients underwent the operation successfully. Enlarged posterior column osteotomy plus intervertebral cage strutting was performed at L4-L5 in 9 patients, at L5-S1 in 7 patients, at L4-S1 in 6 patients, at L3-L5 in 5 patients. The mean operation time was 96.3±18.0 min, mean blood loss was 350.0±97.9 mL. Relaxation of thecal sac was noticed after pedicle screw-rod compression bilaterally. The mean decrease of inter-pedicle distance was 0.57±0.18 cm, the mean increase of regional lumbar lordosis was 17.6±6.7 degrees. Relaxation of cauda equina within the thecal sac was noticed at intra-operative after pedicle screw-rod compression bilaterally in all the patients. Most patients achieved neurological function improvement at two-year follow up.
Conclusions: Enlarged posterior column osteotomy plus intervertebral cage strutting procedure is an effective surgical method for lumbosacral nerve bowstring disease through restoring the coordination between column and cord, visual relaxation of cauda equina within the thecal sac at intraoperative is the key factor in predicting the relief of neurological function at postoperative.
COVLIAS 3.0 XEDL : Multicentre, Cloud-Based, Explainable Ensemble Artificial Intelligence Deep Learning System for COVID- 19 in Computed Tomography Scans
Authors: Dubey Arun K. , Agarwal Sushant , Chabert Gian Luca , Sanga Prabhav , Laird John , Singh Inder M , Kalra Manudeep K , Viskovic Klaudija , Singh Narpinder , Fouda Mostafa M. , Singh Rajesh , Garg Deepak , Ravindran Gobinath , Saba Luca , Suri Jasjit S. 
Published: December 2023

Abstract

Background and Motivation:
Lung computed tomography (CT) techniques have been utilized in the intensive care unit (ICU) for COVID-19 disease characterization due to its high-resolution imaging. Artificial Intelligence (AI) has significantly helped researchers in diagnosing COVID-19, and the proposed study hypothesized that the cloud-based explainable ensemble deep learning (XEDL) paradigm is superior to transfer learning (TL) models for disease classification.
Methodology:
We propose a cloud-based ensemble deep learning (EDL) approach to classify COVID-19 versus Control patients. In the proposed study two cohorts are used: (i) 80 Croatian COVID-19 and (ii)70 Italian COVID-19 patients and 30 Control Italian patients. ResNet-SegNet-based lung segmentation of CT scans on five different data combinations (DC1-DC5) using two cohorts have been designed. Five deep convolutional neural network models namely, DenseNet-169, DenseNet-121, DenseNet-201, EfficientNet-B1, and EfficientNet-B6 models are utilized for ensemble. The focal loss function is used with a gamma value of 2. Five-fold cross-validation has been performed during model training and testing on unseen data. Statistical analysis and heatmaps are generated to validate the model. This model was also available for global use on Amazon Web Services as COVLIAS 3.0XEDL. The proposed COVLIAS 3.0XEDL is superior to TL models.
Results
The XEDL showed an accuracy of 99.99%, AUC 1 (p < 0.0001) for DC1, 98.23%, AUC 0.97 (p < 0.0001) for DC5, 96.45%, AUC 0.92 (p < 0.0001) for DC2, 88.20%, AUC 0.85 (p < 0.0001) for DC3, and 87.87%, AUC 0.81 (p < 0.0001) for DC4. The proposed XEDL accuracy was 8.59% superior to the mean TL accuracy.
Conclusions
Our hypothesis holds true where XEDL is superior to TL in a cloud-based explainable framework using heatmaps.