bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does joint-sparing tumor resection jeopardize oncologic and functional outcomes in non-metastatic high-grade osteosarcoma around the knee?
Authors: Huang Mengquan , Ma Ziyang , Yu Jie , Lu Yajie , Chen Guojing , Fan Jian , Li Minghui , Ji Chuanlei , Xiao Xin , Li Jing 
Published: June 2023

Abstract
Background
We previously reported joint-sparing tumor resection for osteosarcoma with epiphyseal involvement in which transepiphyseal osteotomy went through the in situ ablated epiphysis. However, we do not know whether this is a safe approach when compared with joint-sacrificed tumor resection. Our objective was to compare oncologic and functional outcomes between patients who underwent joint preservation (JP) and joint replacement (JR) tumor resection. Furthermore, we identified the risk factors of local recurrence, metastasis and survival.

Methods
Eighty-nine patients with non-metastatic high-grade osteosarcoma around the knee were treated with limb-salvage surgery (JP in 47 and JR in 42). Age, gender, tumor location, pathologic fracture, plain radiographic pattern, limb diameter change, perivascular space alteration, surgical margin, local recurrence, metastasis, death, and the Musculoskeletal Tumor Society (MSTS)-93 scores were extracted from the records. Univariate analysis was performed to compare oncologic and functional outcomes. Binary logistic and cox regression models were used to identify predicted factors for local recurrence, metastasis, and survival.

Results
Local recurrence, metastasis and overall survival were similar in the JP and JR group (p = 0.3; p = 0.211; p = 0.143). Major complications and limb survival were also similar in the JR and JP group (p = 0.14; p = 0.181). The MSTS score of 27.06 ± 1.77 in the JP group was higher than that of 25.88 ± 1.79 in the JR group (p = 0.005). The marginal margin of soft tissue compared with a wide margin was the only independent predictor of local recurrence (p = 0.006). Limb diameter increase and perivascular fat plane disappearance during neoadjuvant chemotherapy were independent predictors for metastasis (p = 0.002; p = 0.000) and worse survival (p = 0.000; p = 0.001).

Conclusions
Joint-sparing tumor resection with the ablative bone margin offers advantage of native joint preservation with favorable functional outcomes while not jeopardizing oncologic outcomes compared with joint-sacrificed tumor resection. Surgeon should strive to obtain adequate soft tissue surgical margin decreasing risk of local recurrence. Novel drug regimens might be reasonable options for patients with obvious limb diameter increase and perivascular fat disappearance during chemotherapy.
Novel models by machine learning to predict prognosis of breast cancer brain metastases
Authors: Li Chaofan , Liu Mengjie , Zhang Yinbin , Wang Yusheng , Li Jia , Sun Shiyu , Liu Xuanyu , Wu Huizi , Feng Cong , Yao Peizhuo , Jia Yiwei , Zhang Yu , Wei Xinyu , Wu Fei , Du Chong , Zhao Xixi , Zhang Shuqun , Qu Jingkun 
Published: June 2023

Abstract
Background
Breast cancer brain metastases (BCBM) are the most fatal, with limited survival in all breast cancer distant metastases. These patients are deemed to be incurable. Thus, survival time is their foremost concern. However, there is a lack of accurate prediction models in the clinic. What’s more, primary surgery for BCBM patients is still controversial.

Methods
The data used for analysis in this study was obtained from the SEER database (2010–2019). We made a COX regression analysis to identify prognostic factors of BCBM patients. Through cross-validation, we constructed XGBoost models to predict survival in patients with BCBM. Meanwhile, a BCBM cohort from our hospital was used to validate our models. We also investigated the prognosis of patients treated with surgery or not, using propensity score matching and K–M survival analysis. Our results were further validated by subgroup COX analysis in patients with different molecular subtypes.

Results
The XGBoost models we created had high precision and correctness, and they were the most accurate models to predict the survival of BCBM patients (6-month AUC = 0.824, 1-year AUC = 0.813, 2-year AUC = 0.800 and 3-year survival AUC = 0.803). Moreover, the models still exhibited good performance in an externally independent dataset (6-month: AUC = 0.820; 1-year: AUC = 0.732; 2-year: AUC = 0.795; 3-year: AUC = 0.936). Then we used Shiny-Web tool to make our models be easily used from website. Interestingly, we found that the BCBM patients with an annual income of over USD$70,000 had better BCSS (HR = 0.523, 95%CI 0.273–0.999, P < 0.05) than those with less than USD$40,000. The results showed that in all distant metastasis sites, only lung metastasis was an independent poor prognostic factor for patients with BCBM (OS: HR = 1.606, 95%CI 1.157–2.230, P < 0.01; BCSS: HR = 1.698, 95%CI 1.219–2.365, P < 0.01), while bone, liver, distant lymph nodes and other metastases were not. We also found that surgical treatment significantly improved both OS and BCSS in BCBM patients with the HER2 + molecular subtypes and was beneficial to OS of the HR−/HER2− subtype. In contrast, surgery could not help BCBM patients with HR + /HER2− subtype improve their prognosis (OS: HR = 0.887, 95%CI 0.608–1.293, P = 0.510; BCSS: HR = 0.909, 95%CI 0.604–1.368, P = 0.630).

Conclusion
We analyzed the clinical features of BCBM patients and constructed 4 machine-learning prognostic models to predict their survival. Our validation results indicate that these models should be highly reproducible in patients with BCBM. We also identified potential prognostic factors for BCBM patients and suggested that primary surgery might improve the survival of BCBM patients with HER2 + and triple-negative subtypes.
Interactions between MFAP5 + fibroblasts and tumor-infiltrating myeloid cells shape the malignant microenvironment of colorectal cancer
Authors: Peng Zhiwei , Ren Zihao , Tong Zhiwei , Zhu Yinan , Zhu Yansong , Hu Kongwang 
Published: June 2023

Abstract
Background
The therapeutic targeting of the tumor microenvironment (TME) in colorectal cancer (CRC) has not yet been fully developed and utilized because of the complexity of the cell–cell interactions within the TME. The further exploration of these interactions among tumor-specific clusters would provide more detailed information about these communication networks with potential curative value.

Methods
Single-cell RNA sequencing, spatial transcriptomics, and bulk RNA sequencing datasets were integrated in this study to explore the biological properties of MFAP5 + fibroblasts and their interactions with tumor-infiltrating myeloid cells in colorectal cancer. Immunohistochemistry and multiplex immunohistochemistry were performed to confirm the results of these analyses.

Results
We profiled heterogeneous single-cell landscapes across 27,414 cells obtained from tumors and adjacent tissues. We mainly focused on the pro-tumorigenic functions of the identified MFAP5 + fibroblasts. We demonstrated that tumor-resident MFAP5 + fibroblasts and myeloid cells (particularly C1QC + macrophages) were positively correlated in both spatial transcriptomics and bulk RNA-seq public cohorts. These cells and their interactions might shape the malignant behavior of CRC. Intercellular interaction analysis suggested that MFAP5 + fibroblasts could reciprocally communicate with C1QC + macrophages and other myeloid cells to remodel unfavorable conditions via MIF/CD74, IL34/CSF1R, and other tumor-promoting signaling pathways.

Conclusion
Our study has elucidated the underlying pro-tumor mechanisms of tumor-resident MFAP5 + fibroblasts and provided valuable targets for the disruption of their properties.
Perception, practices, and understanding related to teenage pregnancy among the adolescent girls in India: a scoping review
Authors: Panda Arpita , Parida Jayashree , Jena Susangita , Pradhan Abinash , Pati Sanghamitra , Kaur Harpreet , Acharya Subhendu Kumar 
Published: June 2023

Abstract
Background
Teenage pregnancy is a concerning public health problem in India. Misperception and misunderstanding about pregnancy and its preventive methods lead to pregnancy when adolescents are involved in unsafe sexual intercourse. This scoping review aims to discuss the evidence on the perception, practices, and understanding related to teenage pregnancy among adolescent girls in the Indian context.

Method
The Arksey and O'Malley scoping review framework and Joanna Briggs Institute Reviewers’ Manual were used for the scoping review. The Population, Concept, and Context strategy (PCC) ensured the review questions, eligibility criteria, and search strategy. The Systematic Review and Meta-analysis: Extension for Scoping Review (PRISMA-ScR) was used. A literature search was done using electronic databases by specific keywords such as “teenage”, “adolescences”, “pregnancy”, “perception”, “knowledge”, “awareness”, etc. Relevant grey literature was identified through further searching. The review included studies that fulfil inclusion criteria having female adolescent groups aged from 10 to 19 years in the Indian context between the years 2000 and 2021.

Results
We found 40 eligible studies; more than half of these were from southern (35%) and northern (27.5%) regions, and studies from the rest of India were very sporadically distributed. Most studies (72.5%) were published in the last 10 years. The relevant extracted data from individual studies were synthesized and presented in the two major sections, perception, practices, and the second one, understanding and experiences among teenage girls. The understanding of pregnancy and teenage pregnancy-related preventive methods was detailed analysis in about 72% of papers whereas other aspects, such as perception (22.5%), practices (25%), and experiences (7.5%) were discussed in the remaining papers related to pregnancy among adolescent girls.

Conclusion
Evidence in the selected studies shows that understanding and practices are the major areas that were primarily explored, where perception, practices and experiences are the topics that are relatively less investigated. Literature synthesis derives misconception, lack of understanding, and practices without knowing the consequences are the key factors responsible for early pregnancies. Future interventions like increasing awareness, providing comprehensive reproductive knowledge, convenient health care aids, and proper counselling are adequate measures for minimalising the problem. The present analysis showed that studies are limited in their scope concerning various aspects of teenage pregnancy in India, so this scoping review gives essential perspectives on future research and implementation plans and policies in this field.
The interaction between adhesion protein 33 (TvAP33) and BNIP3 mediates the adhesion and pathogenicity of Trichomonas vaginalis to host cells
Authors: Zhang Zhenchao , Deng Yangyang , Sheng Wanxin , Song Xiaoxiao , Li Yuhua , Li Fakun , Pan Ying , Tian Xiaowei , Yang Zhenke , Wang Shuai , Wang Mingyong , Mei Xuefang 
Published: June 2023

Abstract
Background
Trichomonas vaginalis is a widespread and important sexually transmitted pathogen. Adherence to the surface of the host cell is the precondition for the parasitism and pathogenicity of this parasite. Trichomonas vaginalis adhesion protein 33 (TvAP33) plays a key role in the process of adhesion, but how this protein mediates the adhesion and pathogenicity of T. vaginalis to host cells is unclear.

Methods
The expression of TvAP33 in trophozoites was knocked down by small interfering RNA. VK2/E6E7 cells and mice infected with T. vaginalis were used to evaluate the pathogenicity of T. vaginalis. We constructed a complementary DNA library of VK2/E6E7 cells and screened the protein molecules interacting with TvAP33 by the yeast two-hybrid system. The interaction between TvAP33 and BNIP3 (Bcl-2 interacting protein 3) was analyzed by co-immunoprecipitation and colocalization.

Results
Following knockdown of TvAP33 expression, the number of T. vaginalis trophozoites adhering to VK2/E6E7 cells decreased significantly, and the inhibition of VK2/E6E7 cell proliferation and VK2/E6E7 cell apoptosis and death induced by T. vaginalis were reduced. Animal challenge experiments showed that the pathogenicity of trophozoites decreased following passive immunization with TvAP33 antiserum or blocking of the TvAP33 protein. Immunofluorescence analysis revealed that TvAP33 could bind to VK2/E6E7 cells. Eighteen protein molecules interacting with TvAP33 were identified by the yeast two-hybrid system. The interaction between TvAP33 and BNIP3 was further confirmed by co-immunoprecipitation and colocalization. When the expression of both TvAP33 and BNIP3 in trophozoites was knocked down by small RNA interference, the number of T. vaginalis adhering to VK2/E6E7 cells and the inhibition of VK2/E6E7 cell proliferation were significantly lower compared to trophozoites with only knockdown of TvAP33 or only BNIP3. Therefore, the interaction of TvAP33 and BNIP3 in the pathogenesis of T. vaginalis infecting host cells is not unique and involves other molecules.

Conclusions
Our study showed that the interaction between TvAP33 and BNIP3 mediated the adhesion and pathogenicity of T. vaginalis to host cells, providing a basis for searching for drug targets for T. vaginalis as well as new ideas for the prevention and treatment of trichomoniasis.

Graphical Abstract
Temporal bone manifestation of primary extranodal Rosai–Dorfman disease: a case report
Authors: Koonar E. , Ramazani F. , Hyrcza M. , Chau J. 
Published: June 2023

Abstract
Background
Rosai–Dorfman disease is a rare benign histiocytic disorder characterized in most cases by painless cervical adenopathy. Less than 10% of extranodal cases involve bony lesions. Primary bone Rosai–Dorfman disease in the absence of nodal disease is extremely rare.

Case presentation
A 48 year-old Caucasian male presented with progressive right-sided otalgia, tinnitus, vertigo, and hearing loss. A right temporal bone lytic lesion was detected on diagnostic imaging. Resection of the lesion and histopathological examination revealed Rosai–Dorfman disease.

Conclusions
Rosai–Dorfman disease primary bone lesions are an atypical presentation of a rare disease. This is the second reported case of Rosai–Dorfman disease arising within the temporal bone. This case study reveals that Rosai–Dorfman disease should be considered for patients presenting with inflammatory/lytic lesions of the temporal bone, in cases where infection and malignancy have been excluded.
Approximate Kalman filtering by both M-robustified dynamic stochastic approximation and statistical linearization methods
Authors: Pavlović Miloš , Banjac Zoran , Kovačević Branko 
Published: June 2023

AbstractThe problem of designing a robustified Kalman filtering technique, insensitive to spiky observations, or outliers, contaminating the Gaussian observations has been presented in the paper. Firstly, a class of M-robustified dynamic stochastic approximation algorithms is derived by minimizing at each stage a specific time-varying M-robust performance index, that is, general for a family of algorithms to be considered. The gain matrix of a particular algorithm is calculated at each stage by minimizing an additional criterion of the approximate minimum variance type, with the aid of the statistical linearization method. By combining the proposed M-robust estimator with the one-stage optimal prediction, in the minimum mean-square error sense, a new statistically linearized M-robustified Kalman filtering technique has been derived. Two simple practical versions of the proposed M-robustified state estimator are derived by approximating the mean-square optimal statistical linearization coefficient with the fixed and the time-varying factors. The feasibility of the approaches has been analysed by the simulations, using a manoeuvring target radar tracking example, and the real data, related to an object video tracking using short-wave infrared camera.
A PAM4 transceiver design scheme with threshold adaptive and tap adaptive
Authors: Liu Xuena , Li Zhensong , Wen Hao , Miao Min , Wang Yuduo , Wang Zhuwei 
Published: June 2023

AbstractTo meet the demand of low bit error rate and high bandwidth for high-speed links, a reliable 112 Gb/s four-level pulse amplitude modulation (PAM4) transceiver design scheme with adaptive threshold voltage and adaptive decision feedback equalizer is proposed in this paper. In this scheme, three continuous time linear equalizers (CTLEs) at the front end of receiver are used to compensate the high-frequency, mid-frequency and low-frequency signals, respectively, and the variable gain amplifier (VGA) and saturation amplifier (SatAmp) are used to scale the signal amplitude. In addition to the three data samplers, four auxiliary samplers are also used for threshold adaptation. The sign-sign least mean squares algorithm uses the offset between the data sampler and the auxiliary sampler at the receiver side to drive the auxiliary reference voltage to converge to the signal constellation level, thus ensuring that the eye diagram of the PAM4 received signal has equal spacing and a constant signal–noise ratio for the three eyes in the vertical direction. In addition, the adaptive DFE for PAM4 signaling allows the transceiver to better adapt to the channel and thus achieve better equalizer performance. The simulation results show that the PAM4 transceiver design can compensate up to 25 dB of channel loss with an average eye height of 59.6 mv and an average eye width of 0.27 UI at a bit error rate of 10−12 under the condition of 3-tap feedforward equalizer (FFE) transmitter.
A novel joint multi-target detection and tracking approach based on Bayes joint decision and estimation
Authors: Cao Wen , Li Qiwei 
Published: June 2023

AbstractThis paper proposes a novel joint decision and estimation (JDE) solution for the multi-target detection and tracking (MDT) problem. MDT aims to jointly detect the number of targets and estimate their states, which is essentially a JDE problem since detection and tracking are highly coupled. Thus, a joint solution which can utilize the coupling is preferable. However, the existing JDE approach has either poor performance or excessive design parameters without considering the MDT problem realities, i.e., the losses that different decisions may lead to. Therefore, we propose a compact conditional JDE (CCJDE)-based MDT method with less design parameters but superior performance. Specifically, we propose a CCJDE-based MDT risk which unifies the detection and tracking risks in a compact way. Then, we derive the joint detection and tracking solution accounting for their couplings, where the joint probabilistic data association filter is adopted due to its advantageous performance and the adaptability to the JDE framework. Then, an efficient CCJDE-MDT algorithm is developed. Besides, some parameter designing guidelines are presented by considering the MDT realities. Simulation results verify the effectiveness of the proposed CCJDE-MDT method, which outperforms the traditional decision-then-estimation in joint performance and also beats the existing recursive joint decision and estimation(RJDE) method in many cases.
An elliptic problem of the Prandtl–Batchelor type with a singularity
Authors: Choudhuri Debajyoti , Repovš Dušan D. 
Published: June 2023

AbstractWe establish the existence of at least two solutions of the Prandtl–Batchelor like elliptic problem driven by a power nonlinearity and a singular term. The associated energy functional is nondifferentiable, and hence the usual variational techniques do not work. We shall use a novel approach in tackling the associated energy functional by a sequence of $C^{1}$

C
1

functionals and a cutoff function. Our main tools are fundamental elliptic regularity theory and the mountain pass theorem.
Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities
Authors: Kumar Ankit , Khan Surbhi Bhatia , Pandey Saroj Kumar , Shankar Achyut , Maple Carsten , Mashat Arwa , Malibari Areej A. 
Published: June 2023

AbstractCloud computing is the most recent smart city advancement, made possible by the increasing volume of heterogeneous data produced by apps. More storage capacity and processing power are required to process this volume of data. Data analytics is used to examine various datasets, both structured and unstructured. Nonetheless, as the complexity of data in the healthcare and biomedical communities grows, obtaining more precise results from analyses of medical datasets presents a number of challenges. In the cloud environment, big data is abundant, necessitating proper classification that can be effectively divided using machine language. Machine learning is used to investigate algorithms for learning and data prediction. The Cleveland database is frequently used by machine learning researchers. Among the performance metrics used to compare the proposed and existing methodologies are execution time, defect detection rate, and accuracy. In this study, two supervised learning-based classifiers, SVM and Novel KNN, were proposed and used to analyses data from a benchmark database obtained from the UCI repository. Initially, intrusions were detected using the SVM classification method. The proposed study demonstrated how the novel KNN used for distance capacity outperformed previous studies. The accuracy of the results of both approaches is evaluated. The results show that the intrusion detection system (IDS) with a 98.98% accuracy rate produces the best results when using the suggested system.
Complementary feeding practices and their determinants among children aged 6–23 months in rural Bangladesh: evidence from Bangladesh Integrated Household Survey (BIHS) 2018–2019 evaluated against WHO/UNICEF guideline -2021
Authors: Jubayer Ahmed , Nowar Abira , Islam Saiful , Islam Md. Hafizul , Nayan Md. Moniruzzaman 
Published: June 2023

Abstract
Background
Appropriate Complementary feeding (CF) practices play a crucial role in determining child nutrition, growth, and development. This study seeks to examine CF practices and their predictors among children aged 6 to 23 months in rural Bangladesh according to the most recently updated WHO/UNICEF guidelines for CF.

Methods
A total of 665 children aged 6 to 23 months from the Bangladesh Integrated Household Survey (BIHS) 2018–2019 dataset were analyzed. The WHO/UNICEF guidelines for CF were followed to evaluate each of the nine CF practice indicators. We also examined the effect of the child, maternal, household, and community-level factors on different CF components using multiple logistic regression analyses.

Results
Approximately two-thirds of the children initiated complementary feeding on time (63.5%) but had zero vegetable or fruit consumption (63.2%). More than half (52.4%) and the majority (86.5%) of children had minimum meal frequency and minimum milk feeding frequency, respectively. On the other hand, the proportion of minimum dietary diversity was quite low (18.3%), as reflected in the alarming prevalence (16.3%) of minimum acceptable diet. Egg and/or flesh food, sweet beverage, and unhealthy food consumption were 23.3%, 2.5%, and 12.2%, respectively. Child age, mothers’ education level, antenatal care visit, household food security, monthly household income, and place of residence were found to be associated with CF practices.

Conclusion
When compared to results obtained using the previous guideline, the new one has resulted in a lower prevalence of Introduction of solid, semi-solid, or soft foods (ISSF), Minimum dietary diversity (MDD), Minimum meal frequency (MMF), and Minimum acceptable diet (MAD). It is crucial to convey the new knowledge for better child feeding and nutrition as the country prepares to apply the new guideline.