bluuebunny/crossref_metadata_2025_split huggingface dataset:
Infectious Disease Complications Associated with Opioid Use Disorder at a Southern County Hospital: A Retrospective Chart Review
Authors: Balakrishnan Harini , Campalans Nicholas , Marambage Kapila , Reisch Joan , Nijhawan Ank E. 
Published: March 2024

Abstract

Background: Injection drug-use (IDU) is related to significant morbidity and mortality. Recent studies of IDU-associated infections have primarily focused on regions outside of the southern US; however, this area presents greater barriers to healthcare funding and lower availability of harm reduction services such as syringe exchange programs.Methods: A retrospective electronic health record review was conducted for patients admitted to an urban county hospital from February 2018-February 2020. Inclusion criteria: (a) opioid use disorder (OUD) within the last 12 months and (b) addiction psychiatry consultation. Baseline characteristics were compared between those with and without IDU-associated infections. IDU-associated infections, cultured microbes, and medication for opioid use disorder (MOUD) uptake were described.Results: Of 283 charts reviewed, 248 individuals met inclusion criteria. 65% were male, 48% non-Hispanic white, and 34% Hispanic. 72% reported opiate IDU in the past 30 days. 52% had IDU-associated infections, including skin and soft-tissue infections (SSTI) (49%), bacteremia (17%), osteomyelitis, (7%), and endocarditis (5%). Comorbid stimulant use disorder was frequently reported (70%). Overall, methicillin-resistant Staphylococcus aureus was the most common organism identified (24%). 40% of IDU-associated infections were monomicrobial, 23% were polymicrobial (including anaerobes, gram-negatives, and yeast species). Those with IDU-associated infections had lower rates of MOUD on admission (8% vs. 32%), but had higher new MOUD uptake (81% vs. 51%).Conclusions: SSTIs, which were often polymicrobial, comprised most IDU-associated infections among inpatients with OUD hospitalized in an urban Texas hospital. Individuals with IDU-associated infections had increased MOUD uptake. These findings have implications for empiric antibiotic management of IDU-associated infections and support inpatient initiation of substance use treatment.
A Cost-Effectiveness Analysis Comparing Ceftazidime-Avibactam with Meropenem for the Treatment of Hospital-Acquired Pneumonia (Including Ventilator-Associated Pneumonia)
Authors: Mai Haiyan , Liang Yankun , Feng Aozi , Fu Yu , Lyu Jun , Su Ling 
Published: March 2024

Abstract
Objective: To evaluate the cost-effectiveness of ceftazidime-avibactam(CAZ-AVI) compared with meropenem for the treatment of hospital-acquired pneumonia (HAP)/ventilator-associated pneumonia (VAP).
Methods: A decision tree model was constructed based on real-world antibiotic resistance data in China to compare the clinical efficacy, survival outcomes, and medical costs of CAZ-AVI versus meropenem for HAP/VAP treatment. Model inputs were derived from literature and local databases. Deterministic and sensitivity analyses were performed.
Results: Base-case analysis showed the ICER of CAZ-AVI was $35,328.2 per QALY gained, slightly below China’s 2022 willingness-to-pay (WTP) threshold of 3 times per capita GDP ($36,598 per QALY). Without considering antibiotic resistance, CAZ-AVI was inferior to meropenem in both effectiveness and costs. The high price of CAZ-AVI significantly affected its cost-effectiveness. Probabilistic sensitivity analysis indicated that CAZ-AVI had an approximately 75% probability of being optimal only when the WTP reached $44,400 per QALY.
Conclusion: Although current cost-effectiveness of CAZ-AVI for HAP/VAP was unfavorable, its use may be considered in settings with higher rates of antibiotic resistance. Price reduction would also enhance its advantage. Judicious antibiotic stewardship and resistance surveillance remain vital as well.
High expression levels of centromere protein O participates in cell activity of human ovarian cancer
Authors: Si Li-hui , Sun Guang-chao , Liu Ziwei , Gu Shi-yu , Yan Chu-han , Yan Jia , Xu Jinyuan 
Published: March 2024

Abstract
Ovarian cancer is a common malignant tumor in women, with a high mortality rate ranking first among gynecological tumors. Currently, there is insufficient understanding of the causes, pathogenesis, recurrence and metastasis of ovarian cancer, and early diagnosis and treatment still face great challenges. The sensitivity and specificity of existing ovarian cancer screening methods are still unsatisfactory. Centromere protein O (CENP-O) is a recently discovered structural centromere protein that is involved in cell death and is essential for spindle assembly, chromosome separation, and checkpoint signaling during mitosis. The abnormal high expression of CENP-O was detected in various tumors such as bladder cancer and gastric cancer, and it participates in the regulation of tumor cell proliferation. In this study, we detect the expression abundance of CENP-O mRNA in different ovarian cancer cells ( ES-2, A2780, Caov-3, OVCAR-3 and SK-OV-3). The biological function changes of cell proliferation and apoptosis were detected and the role of CENP-O in ovarian cancer cell proliferation and apoptosis was explored by knocking down the expression of CENP-O gene. The results showed that CENP-O gene was significantly expressed in 5 types of ovarian cancer cell lines. After knocking down the CENP-O gene, the proliferation and cloning ability of ovarian cancer cells decreased, and the apoptosis increased. This study indicates that CENP-O has the potential to be a molecular therapeutic target, and downregulating the expression of CENP-O gene can break the unlimited proliferation ability of cancer cells and promote their apoptosis, providing a foundation and new ideas for subsequent molecular mechanism research and targeted therapy.
Tumor Lysate Particle Only Vaccine (TLPO) vs. Tumor Lysate Particle-Loaded, Dendritic Cell Vaccine (TLPLDC) to Prevent Recurrence in Resected Stage III/IV Melanoma Patients: Results of a Phase I/IIa Trial
Authors: Decar Spencer G. Van , Carpenter Elizabeth L. , Adams Alexandra M. , Chick Robert C. , Clifton Guy T. , Stojadinovic Alex , Vreeland Timothy J. , Valdera Franklin A. , Tiwari Ankur , O’Shea Anne E. , McCarthy Patrick M. , Hale Diane F. , Bohan Phillip M Kemp , Hickerson Annelies T. , Cindass Jessica L. , Hyngstrom John , Berger Adam C. , Jakub James W. , Sussman Jeffrey J. , Shaheen Montaser , Yu Xianzhong , Wagner Thomas , Faries Mark , Peoples George 
Published: March 2024

Abstract
Background:
The autologous tumor lysate, particle-loaded, dendritic cell (TLPLDC) vaccine is produced from dendritic cells (DC) loaded ex vivo with autologous tumor lysate (TL). TLPLDC has been shown to decrease recurrence in resected Stage III/IV melanoma patients in a Phase IIb trial. The TL particle only (TLPO) vaccine is produced by loading of yeast cell wall particles with autologous TL and direct injection allowing for in vivo DC loading. We have compared the TLPO and TLPLDC vaccines in an embedded Phase I/IIa trial of a larger Phase IIb trial of the TLPLDC vaccine.
Methods:
Patients rendered clinically disease-free after surgery were randomized 2:1 to receive the TLPO or TLPLDC vaccine and followed for recurrence and death. Patients had scheduled intradermal inoculations at 0, 1, 2, 6, 12, and 18 months after enrollment. Kaplan-Meier and log-rank analysis were used to compare disease-free survival (DFS) and overall survival (OS) in an intention-to-treat (ITT) analysis.
Results:
Sixty-three patients were randomized, 43 TLPO and 20 TLPLDC. Patients randomized to the TLPO arm were more likely to be female (37.2% vs. 10.0%, p = 0.026), but otherwise no significant clinicopathological differences were identified. No differences in related adverse events (AE) were found between treatment arms. At a median follow-up of 20.5 months, the DFS (60.8% vs. 58.7%, p = 0.714) and OS (94.6% vs. 93.8%, p = 0.966) were equivalent between the TLPO and TLPLDC groups, respectively. No statistical differences were found in subgroup analyses between vaccine types, which accounted for receipt of immunotherapy and the use of G-CSF pre-blood draw.
Conclusions:
In a randomized, double-blind Phase I/IIa trial, there were no differences in DFS or OS in resected Stage III/IV melanoma patients receiving adjuvant TLPO versus TLPLDC vaccines. Given manufacturing advantages, further efficacy testing of TLPO is warranted in a Phase III trial.
Trial Registration
This is a clinical trial registered under NCT02301611.
Genetic parameters associated with growth and multiple-stress traits in Litopenaeus vannamei according to age
Authors: Wang Lun , Wang Jinjiao , Fu Shuo , Liu Jianyong Y. 
Published: March 2024

Abstract
The genetic parameters for growth and multiple-stress resistance in Litopenaeus vannamei at 7 and 15 weeks of age were estimated using sixty full-sib families (including 29 half-sib families) in the present study. The heritability of growth traits was estimated to be medium to high (0.256 ± 0.119 to 0.441 ± 0.124), and that of multiple-stress [simultaneous stress of high salt (35), low pH (6 ± 0.1) and high ammonia nitrogen (56 mg/L)] tolerance traits was low (0.029 ± 0.034 to 0.053 ± 0.058), suggesting the feasibility of selecting increasing growth traits and that genetic improvement of stress tolerance traits requires multi-generation breeding by family and intra-family selection. The genetic correlations of growth traits (body weight, total length, body length, carapace length, carapace width and abdominal length) at identical ages were high (0.855 ± 0.031 to 0.999 ± 0.0002) (P < 0.01). The highly significant correlations between growth traits showed that any growth trait could be replaced by other growth traits for indirect selection. The genetic correlations between growth traits and multiple-stress tolerance traits at identical ages were low, but the positive correlation (0.081 ± 0.129 to0.224 ± 0.125) indicated that selection of growth traits will have a positive correlation response to multiple-stress tolerance traits. There was a weak genetic positive correlation (0.285–0.342) (P < 0.05) in the growth traits between the two different age stages, however the genetic correlation in the multiple-stress tolerance traits between the two different age stages were low and not significant (P > 0.05).This suggests that selection for growth traits in L. vannamei at an early age may not be optimal and should be undertaken at later stages of growth.
Use Superb Microvascular Imaging to Diagnose and Predict Metastatic Cervical Lymph Nodes in Patients with Papillary Thyroid Carcinoma
Authors: Huang Ting , Huang Pin-Tong , Luo Zhi-Yan , Lv Ji-Fang , Jin Pei-Le , Zhang Tao , Zhao Yu-Lan , Wang Yong , Hong Yu-Rong 
Published: March 2024

Abstract

Purpose
Papillary thyroid carcinoma (PTC) with metastatic lymph nodes (LNs) is closely associated with disease recurrence. This study accessed the value of superb microvascular imaging (SMI) in the diagnosis and prediction of metastatic cervical LNs in patients with PTC.
Methods
A total of 183 cervical LNs (103 metastatic and 80 reactive) from 116 patients with PTC were analysed. Metastatic cervical LNs were confirmed by pathology or/and cytology; reactive cervical LNs were confirmed by pathology or clinical features. The characteristic of conventional ultrasound (US) was extracted using univariate and multivariate analyses. The diagnostic performance of US and SMI were compared using the area under the receiver operating curve (AUC) with corresponding sensitivity and specificity. A nomogram was developed to predict metastatic LNs in patients with PTC, based on multivariate analyses.
Results
L/S < 2, ill-defined border, absence of hilum, isoechoic or hyperechoic, heterogeneous internal echo, peripheral or mixed vascular pattern on color Doppler flow imaging (CDFI) and SMI, and a larger SMI vascular index appeared more frequently in metastatic LNs in the training datasets than in reactive LNs (P<0.05). The diagnostic sensitivity, specificity and accuracy of SMI vs US are 94.4% & 87.3%, 79.3% & 69.3%, and 87.6% &79.1%, respectively; SMI combined with US exhibited a higher AUC (0.926(0.877–0.975)) than US only (0.829(0.759-0.900)). L/S < 2, peripheral or mixed vascular type on CDFI, and peripheral or mixed vascular types on SMI were independent predictors of metastatic LNs with PTC. The nomogram based on these three parameters exhibited excellent discrimination, with an AUC of 0.926.
Conclusion
SMI was superior to US in diagnosing metastatic LNs in PTC. US combined with SMI significantly improved the diagnostic accuracy of metastatic cervical LNs with PTC. SMI is efficacious for differentiating and predicting metastatic cervical LNs.
Extraction and assessment of Rudbeckia hirta extracts’ larvicidal activity on lackey moth (Malacosoma neustria Testacea): toxicity, nutritional effects and enzyme activities
Authors: WANG Yajun , PHAM HUNG HAI , Ma Weihu , Li Kejiao , Zhang Guocai , Zhang Jie 
Published: March 2024

Abstract
The insecticidal activity of Rudbeckia hirta has been confirmed, however, it has not been adequately studied. In the present study, we optimized extraction conditions and analyzed chemical constituents of ethanol extracts of R. hirta (RHE), the insecticidal activities of RHE on Malacosoma neustria Testacea larvae were investigated, and the safety of RHE for non-target aquatic organisms were evaluated. The results indicated that the optimal extraction conditions of RHE were liquid-solid ratio: 41.4:1 (mL:g), extraction temperature: 41.4°C, and extraction time: 51.99 min, under this condition, the actual extraction rate was 30.27%. RHE contains 22 compounds, flavone and flavonoid derivatives accounting for 75.47% of the total compound contents. More importantly, RHE had a significant biotoxic effect on instar larvae of M. neustria Testacea, the value of LC50 was 6.437 mg/mL at 72 h post-treatment. RHE also significantly affected larval feeding, digestion, and nutrient uptake, six nutritional indices (LWG, RGR, ECI, RCR, AD, and AR) of RHE-treated larvae were suppressed. Under the stress of RHE, the detoxification enzyme activities (ACP, AKP, and GST) were remarkably inhibited, as well as the detoxification enzyme activities (CAT, POD, and SOD) were significantly suppressed in vivo of larvae within 72 h after treatment. Safety experiments showed that RHE was practically nontoxic to Danio rerio. Taken together, RHE has significant insecticidal and antifeeding activities on M. neustria Testacea larvae and can be developed as an environmentally friendly botanical insecticide for M. neustria Testacea control.
Accuracy of a New Robotic System for Assisting in Total Knee Arthroplasty: A Cadaveric Study
Authors: Yi Jiafeng , Gao Zhisen , Huang Yijian , Liu Yubo , Zhang Yiling , Chai Wei 
Published: March 2024

Abstract
Background
Robot-assisted total knee arthroplasty (TKA) has been shown to facilitate high-precision bone resection, an important goal in TKA. The aim of this cadaveric study was to analyse the accuracy of the target angle and bone resection thickness of a recently introduced robotic TKA system.
Methods
This study used 4 frozen cadaveric specimens (8 knees), 2 different implant designs (Johnson & Johnson and ICON), navigation, and a robotic system (ROPA TKA system, Longwood Valley MedTech). The 4 surgeons participating in this study were trained and familiar with the basic principles and operating procedures of this system. The angle of the bone cuts performed using the robotic system was compared with the target angles from the intraoperative plan. For each bone cut, the resection thickness was recorded and compared with the planned resection thickness.
Results
The mean angular difference for all specimens was less than 1°, and the standard deviation was less than 2°. The mean difference between the planned and measured angles was close to 0 and not significantly different from 0 except for the difference in the frontal tibial component angle, which was 0.88°. The mean difference in the hip-knee-ankle axis angle was -0.21°±1.06°. The mean bone resection difference for all specimens was less than 1 mm, and the standard deviation was less than 0.5 mm.
Conclusions
The results of our cadaveric experimental study show that surgeons using this new surgical robot in TKA can perform highly accurate bone cuts and achieve planned angles and resection thicknesses.
The influence of self-adaptors on the reduction of stress
Authors: Maki Kohei , Sekine Kazuki 
Published: March 2024

Abstract
This study explored whether self-adaptors serve as an immediate or preventive effect for coping with stress, or whether they have no effect at all. To assess the effectiveness of self-adaptors in managing stress, either before or during a stress event, the research was carried out under three conditions: self-adaptors used during the stress task, before the stress task, and a control condition where self-adaptors were inhibited. The study analyzed cortisol levels, heart rate, and Visual Analogue Scale (VAS) scores. The results revealed that self-adaptors employed during a stress task did not reduce stress levels compared to the control group, where no self-adaptors were used. Conversely, self-adaptors applied just before a stress event were effective in reducing stress levels relative to the control. Based on these findings, it appears that self-adaptors can preventively mitigate anticipated stress and anxiety as a coping strategy but fail to immediately reduce stress levels. The lack of effectiveness in immediate stress reduction could be attributed to participants' inability to focus on self-adaptors due to heightened stress during the task.
Detection of Banglish Slang in Social Media Comments Using a Hybrid Bidirectional Long Short-Term Memory (Bi-LSTM) Model
Authors: Khalaf Osama Ibrahim , Yasmin Suraiya , Jisan Rashedul Islam , Haque Muhammad Fiazul , Algburi Sameer , Hamam Habib 
Published: March 2024

Abstract
Banglish slang is a distinctive mashup of Bengali and English terms that is widely used in messaging applications, social media, and other casual contexts. It has grown to be an essential component of Bangladesh's linguistic landscape. The use of Banglish slang in social media comments has become more common among young people from Bangladesh in recent years. Yet, because traditional language processing methods are not appropriate for managing such linguistic complexity, automated text analysis systems find it difficult to handle this informal communication style. Our proposed model captures the unique components of Banglish slang, such as slang phrases, misspellings, and abbreviations, by combining character-level and word-level properties since it is the most common form of communication and improves user interaction and content moderation. We remove special characters from the dataset and transform all test results to lowercase. After then, the stop words are removed from the dataset. Furthermore, we do tokenization using a pad sequence prior to classification. Stack Bidirectional Long Short-Term Memory (Bi-LSTM) model, a neural network architecture used in Natural Language Processing (NLP), is a state-of-the-art model utilized in this research to classify slang in Banglish words. On the training set with an outstanding 99% accuracy and a strong 79.8% validation accuracy, the suggested model beats traditional approaches. The Mendeley dataset was used to analyze social media comments to detect instances of Banglish slang. To carry out the work, approximately five thousand comments are considered overall. The experimental findings show how well our recommended approach works to identify Banglish slang. This method can be useful in monitoring content and language learning, among other real-world applications.
Photothermal therapy of CdTeSe@ZnS quantum dots and their photonic state gain amplification fiber applied to brain gliomas at different stages
Authors: Su Xueqiong , Zhu Ruian , Pan Yong , Zhao Pengxiang , Wang Jin , Wang Ruimin , Yang Lishan , Wang Li , Zhao Wei , Wang Zhijun 
Published: March 2024

Abstract
Mental nanomaterial-mediated photothermal therapy (PTT) offers a prospective therapeutic strategy for solid tumors. However, its clinical application is limited due to insufficient photothermal conversion efficiency for deep-seated tumor and potential cytotoxic. Few photothermal therapy studies have been reported for tumour cells of different morphologies. In this study, CdTeSe/ZnS quantum dots (QDs) generating photoluminescence at 562 nm and 640 nm under 365 nm excitation are presented. The proliferation activity of RAW264.7 cells phagocytosed QDs exhibited a dose-dependent decline, as expected. In vitro, a liquid core fiber loaded with these QDs was utilized for PTT targeting high-grade and low-grade brain glioma cells. In the culture medium of cultured brain glioma cells, the maximum heat around the QDs-fibers under 365 nm laser excitation reached 64.9℃. High-grade U87 glioma cells treated with PTT displayed greater sensitive towards organelle damage compared to low-grade U251 glioma cells. Notably, U87 cells showed significant induction of apoptosis. Therefore, these findings represent further progress towards the applications of QDs-fibers in human solid tumor treatment.
Applications of interpretable machine learning models in the prediction of 5-year risk of death in patients with gastric gastrointestinal stromal tumors
Authors: Li Yujie , Li Yongliang , Shi Songchang , Liu Guoquan , Zhou Yongjian 
Published: March 2024

Abstract

Aim: To evaluate the performances of seven different machine learning models in predicting 5-year risk of death in patients with gastrointestinal stromal tumors(GIST) of the stomach. Meanwhile, the Shapley Additive explanation (SHAP) value is applied to construct a visual machine learning model.
Methods: The data of GIST of the stomach patients derived from Surveillance, Epidemiology, and End Results (SEER) database from 1975 to 2020. Patients were divided into training (n = 748) and validation sets (n = 321). The data were used to construct seven machine learning models to predict 5-year risk of death in patients with GIST of the stomach. A total of 7 clinical variables were input into these models. Model performance was measured with the area under the receiver operating characteristic curve (AUC) and average precision (AP). The models were visualized and interpreted using the SHAP method.
Results: The 5-year survival rate was 39.9% (426/1068). Of the seven machine learning models, Catboost had the best AUC (0.64) and AP (0.73). We explored the significance of features in the model through SHAP analysis. Surgery, patient age and risk of GIST were the heavily weighted factors used by the Catboost.
Conclusion: This is the largest study of GIST of the stomach patients from the SEER registry to show that surgery, patient age and risk of GIST are significant independent prognostic factors for 5-year risk of death. Based on simple baseline patient information, Catboost model can accurately predict the 5-year risk of death. Also, SHAP values can be good for interpreting machine learning models, as well as for predicting, guiding follow-up and monitoring individuals.