bluuebunny/crossref_metadata_2025_split huggingface dataset:
Latent categories analysis of postnatal post-traumatic stress disorder symptom profiles
Authors: yao qingfang , wang xianwei , jiang hu , xia lan , pu hengping 
Published: June 2023

Abstract
Aim
To explorelatent categories of postpartum post-traumatic stress disorder (PP-PTSD) symptom profiles and to analyse differences in the demographic characteristics of the various categories of mothers.
Methods
From August 2021 to April 2022, a questionnaire survey was conducted using the Urban Birth Trauma Scale and the General Information Questionnaire among women in the obstetric wards, outpatient clinics and pelvic floor muscle rehabilitation centre of a tertiary hospital in Zunyi, China to analyse thelatent categories of PP-PTSD symptom profiles. A questionnaire survey was conducted to explore thelatent categories of PP-PTSD symptoms and to explore the factors influencing thelatent categories through univariate analysis and multiple logistic regression.
Results
A total of 243 mothers were included, and PP-PTSD symptoms were classified into 3latent categories (P < 0.05), namely "high PP-PTSD symptoms group" (28.4%), "labour-related symptoms group" (40.3%), and "low PP-PTSD symptoms group" (40.3%), The "group with low prevalence of PP-PTSD symptoms" (31.3%). The mode of this delivery, the number of deliveries, and the month after delivery were the main influencing factors for the classification of PP-PTSD symptom profile.
Conclusions
There was heterogeneity and stage in the symptom profile of PP-PTSD, which was divided into 3latent categories. This suggests that health care professionals should pay attention to the heterogeneity and stages of PP-PTSD symptom profiles and provide specific symptom management for different categories of women.
Spatio-Temporal Climatology and Trends of Convective Available Potential Energy (CAPE) over Bangladesh, including three lightning hotspots during 40 years (1982-2021)
Authors: Kader Sakia Shabnam , Panda Subrat Kumar , Wasson Gitesh , Mondal Unashish , Sharma Devesh , Das Someshwar 
Published: June 2023

Abstract
This study investigates the climatology of Convective Available Potential Energy (CAPE) over Bangladesh and its eight administrative divisions, along with three lightning hotspots (Sherpur, Shahjadpur, and Bajitpur), using monthly, seasonal, and annual data for 40 years (1982–2021). The monthly CAPE data at 0000 UTC and 1200 UTC has been collected from the fifth generation of the European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis data (ERA5) at 0.25° resolution. The study reveals that the increasing CAPE trend over Bangladesh may be responsible for the increased frequency of extreme events. Significant CAPE values were observed in Bangladesh’s south-west and southern parts from March to May. In April, there was a notable increasing trend in CAPE values, particularly in the north-western region. The average CAPE values for Bangladesh’s three lightning hotspot regions (Sherpur, Shahjadpur, and Bajitpur) is higher than 1500 J/kg during the pre-monsoon at 0000 UTC, directly correlating with the lightning and thunderstorm. The Mann-Kendall test has been employed to follow yearly and seasonal trends. Overall, this study provides valuable insights into the spatial distribution of CAPE and its association with thunderstorms in Bangladesh, which can inform the development of effective strategies to manage weather-related hazards in the country.
Prediction factors and clinical significance of different types of hemorrhagic transformation after intravenous thrombolysis
Authors: hao yanan , zhou Huan , Pan Chengzhen , Xie Guomin , Hu Jin , Zhang，MA Bing , Yan Shenqiang , Qian，MA Shuxia 
Published: June 2023

Abstract
Background and purpose Hemorrhagic transformation (HT) after intravenous thrombolysis (IVT) in acute ischemic stroke seriously affects the prognosis of patients. This study aimed to investigate the risk factors of different types of HT and their correlation with prognosis after IVT.Methods Based on the CASE II registry, we included patients with acute ischemic stroke who received IVT within 4.5 hours of onset. HT was further divided into hemorrhagic infarction (HI) and parenchymal hemorrhage (PH). Poor outcome was defined as a modified Rankin Scale (mRS) score of 3 to 6 at 3 months. Multivariate logistic regression analysis was used to determine the independent influencing factors of HT subtypes and clinical outcome.Results Among 13108 included patients, 541 patients (4.1%) developed HI and 440 (3.4%) developed PH. In multivariate analysis, age (OR 1.038, 95%CI 1.028 to 1.049,p < 0.001), atrial fibrillation (OR 1.446, 95%CI 1.141 to 1.943, P = 0.002), baseline diastolic pressure (OR 1.012, 95%CI 1.004 to 1.020, p = 0.005), baseline NIHSS score (OR 1.060, 95%CI 1.049 to 1.071, p < 0.001) and onset to treatment time (OTT) (OR 1.002, 95%CI 1.000 to 1.004, p = 0.020) independently predicted PH 24 hours after IVT. In the patients with HT, PH (OR 3.611, 95%CI 2.540 to 5.134, p < 0.001) and combination with remote hemorrhage (OR 1.579, 95%CI 1.115 to 2.235, p = 0.010) were independently related with poor outcome after IVT.Conclusions Different types of hemorrhagic transformation after IVT had different risk factors and clinical significance. The occurrence of PH and remote hemorrhage independently increased the risk of poor outcome.
Recurrent Thromboembolism due to Factor V Leiden Mutation: A Case Report
Authors: Kanwal Seema , Gul Fahad , Khan Hashim , Abbas Khawar , Malick Daniya Shahzad , Basit Jawad , Nashwan Abdulqadir J. 
Published: June 2023

Abstract
The Factor V Leiden (FVL) mutation is the most prevalent genetic risk factor for VTE, with a prevalence of roughly 5% in the Caucasian population. Our patient presented with progressive right leg swelling, cough, and shortness of breath for 3 months. Investigations revealed elevated hemoglobin and positive D-dimers, and a CT scan confirmed a bilateral massive subacute pulmonary embolism. Based on the results of thrombophilia testing, our final diagnosis was Recurrent Thrombo-embolism due to Factor V Leiden Mutation. The patient received anticoagulant therapy and underwent multiple venesections, subsequently improving symptoms. Follow-up examinations showed cor pulmonale secondary to the chronic thromboembolic phenomenon. This case report highlights the significance of identifying and managing thrombophilic conditions like Factor V Leiden mutation in patients with recurrent venous Thromboembolism.
Exploring the influence of built environment on demand of online car-hailing travel using multi-scale geographically temporal weighted regression model
Authors: Cheng Rongjun , Zeng Wenbao , Zheng Yuchen 
Published: June 2023

Abstract
The demand for online car-hailing travel is influenced by the built environment, which exhibits spatio-temporal heterogeneity in its impact. Previous studies have commonly employed geographically weighted regression (GWR) model and geographically temporal weighted regression (GTWR) model to examine the relationship between demand for online car-hailing trips and built environment. However, these studies have overlooked the scales of influence different built environment variables. This study addressed this issue by considering scale effects based on GTWR to form the multi-scale geographically temporal weighted regression (MGTWR) to explore the spatio-temporal impact of the urban built environment on the demand for online car-hailing trips. An empirical study was conducted to assess the effectiveness of MGTWR model using Point of Interest (POI) data and online car-hailing orders data in Haikou. The evaluation indicators showed that the MGTWR model has higher accuracy in fitting than the GTWR model. Moreover, the impact of each type of POI on demand of online car-hailing travel was analyzed by examining the temporal and spatial distribution of the regression coefficients.
Comprehensive quantitative analysis of erythrocytes and leukocytes using trace volume of human blood using microfluidic-image cytometry and machine learning
Authors: Moradi Nima , Hoseyni Fateme Haji Mohamad , Hajghassem Hassan , Yarahmadi Navid , Shirvan Hadi Niknam , Safaie Erfan , Kalantar Mahsa , Sefidbakht Salma , Amini Ali , Eeltink Sebastiaan 
Published: June 2023

Abstract
A diagnostic test, based on microfluidic image cytometry and machine learning has been designed and applied for accurate classification of erythrocytes, leukocytes including 5-part differentiation into neutrophils, lymphocytes, monocytes, eosinophils, and basophils using minute amounts of whole blood using in a single counting chamber. A disposable multilayer microdevice for microfluidic image cytometry was developed that comprises a 1 mm x 22 mm x 50 µm (w x l x h) rectangular microchannel, allowing the analysis of trace volume of blood 20 µL for each assay. Automated analysis of digitized binary images applying a border following algorithm was performed allowing to qualitative analysis of erythrocytes. Bright-field imaging was for the detection of erythrocytes and fluorescence imaging for 5-part differentiation of leukocytes after acridine orange staining applying a convolutional neural network enabling fast segmentation and automated feature extraction yielding 98.57% accuracy. Blood samples were obtained from 30 volunteers and count values did not significantly differ from data obtained using a commercial automated hematology analyzer.
Use of Pushover Analysis to Compare the Seismic Response of Columns with Unusual Shapes of Shear Wall
Authors: HANDE SUSHANT , YADAV ADINATH 
Published: June 2023

Abstract
In terms of seismic qualities, a regular RC frame with conventional columns was compared to a regular RC frame with discrete shaped shear walls merely on the frame's perimeter and circular columns employed in the inner half of the RC frame. Static nonlinear analysis, sometimes referred to as push over analysis was used to apply the lateral loads in opposition to the gravity loads. Additionally, the RC structure's overall height was taken into consideration. Push over analysis is used to forecast the post-elastic behaviour of the overall structure under study. The stages of hinge formation assist in determining the structure's performance level. The modelling, analysis, and result interpretation were done using the ETAB software, which is based on the Finite Element Method. Response Spectrum Method was used for push over analysis. The Lateral load application analysis was done using a Displacement controlled approach. At the structure's performance point, all seismic characteristics were compared. The performance point is defined as the point at where the demand and capacity curves intersect. There were three different sets of models made in all, each with a unique horizontal plan geometry. The first set is laid out in a rectangular pattern, the second is in a L-shape, and the third is in a T-shape.
The total height of the construction was covered by plan sets. It includes G+6 models for RC frames with square columns and RC frames with asymmetric columns around the frame. According to the findings, RC frames with rectangular columns perform better at withstanding lateral strain than frames with discretely formed shear walls and circular columns for all three sets of models with G+6.
Costs of Summer Youth Employment to Prevent Violence: An Analysis and Implementer’s Tool
Authors: Schnippel Kathryn , Larson Bruce , Jay Jonathan , Szkola Jason , O'Toole Megan J. 
Published: June 2023

Abstract
Gun homicide rates have risen 35% across the US since the start of the COVID-19 pandemic. One promising intervention to prevent violent crime is summer youth employment programs (SYEPs), which provide youth with meaningful workplace experiences, prosocial engagements, and developmental opportunities during the summer months, when many otherwise lack structure. This paper presents a cost analysis of violence prevention-focused SYEPs to help implementers understand the costs generally and in their own community contexts—to advocate for adoption and secure funding of, effectively budget for, and successfully implement SYEPs. Researchers use an ingredients-based costing approach and provide a template for implementers to use and adapt for their context. SYEPs with the goal of reaching youth who are justice-involved or at risk of being victims or perpetrators of violence can cost $3,331 per youth assisted, with 54% of this cost directly paid to youth through stipends. Cost per youth is driven by the intensity of the mentoring and support that community organizations provide to the program participants. Knowing the cost per youth assisted can inform further analysis, implementation, and expansion of SYEPs.
LINC02582 Sponges MiR-375 To Promote The Lung Metastasis Of Colorectal Cancer Via Lactate Dehydrogenase B Dependent Glycolysis
Authors: Song Wang , Zhu Congcong , Zhu Zhonglin , Li Cong , Cai Sanjun , Quan Bin , Liu Fangqi , Xu Ye 
Published: June 2023

Abstract
Glycolysis plays significant roles in reprogramming the metastatic tumor microenvironment. Many lncRNAs have been reported to function as oncogenes by regulating glycolysis. In the present study, we found that the expression of LINC02582 gradually increased from adjacent normal to colorectal cancer (CRC), especially in Stage IV tumor tissues, and high LINC02582 expression predicted poor survival, especially for patients with lung metastasis. Functionally, LINC02582 promoted the glycolysis and invasion of CRC cells in vitro and enhanced their lung metastasis in vivo. Mechanically, LINC02582 functioned as a ceRNA to regulate lactate dehydrogenase B (LDHB) expression via sponging miR-375, resulting in glycolysis of CRC cells and leading to their invasion and lung metastasis. Clinically, high LINC02582 and LDHB expression predicted poor survival of CRC patients. In conclusion, the present study identified LINC02582 as an onco-lncRNA in CRC and demonstrated that the combination of LINC02582 /miR375/LDHB may be a potential prognostic biomarker of CRC with lung metastasis.
Changes in patient admission patterns at orthopedics and traumatology outpatient clinics before and after the earthquakes on 6 February 2023 in Turkey
Authors: Asfuroğlu Zeynel Mert , Gümüşoğlu Ender 
Published: June 2023

Abstract
Background
The increase in orthopedic injuries after earthquakes imposes a significant burden on the health system. However, the impact of earthquakes on outpatient admissions remains unclear. This study compared patient admissions to the orthopedics and traumatology outpatient clinics before and after earthquakes.
Methods
The study was conducted at a tertiary university hospital near the earthquake zone. In total, 8,549 outpatient admissions were retrospectively analyzed. The study population was divided into pre-earthquake (pre-EQ) and post-earthquake (post-EQ) groups. Factors such as gender, age, city of origin, and diagnosis were compared between the groups. In addition, unnecessary outpatient utilization (UOU) was defined and analyzed.
Results
The pre-EQ and post-EQ groups included 4,318 and 4,231 patients, respectively. The two groups had no significant differences in age and sex distribution. However, the proportion of non-local patients increased after the earthquake. UOU was the most common reason for admission in both groups. The distribution of diagnoses differed significantly between the pre-EQ and post-EQ groups, with an increase in the number of trauma-related diagnoses and a decrease in UOU after the earthquake.
Conclusions
Our findings suggest that the effects of earthquakes on daily orthopedic practice are long-lasting. The pattern of outpatient admissions changes, with an increase in frequency of trauma-related diagnoses.
Level of evidence: Observational study
PSMB2: A potential immunological and prognostic Signature in glioma
Authors: He Wei , Zhang Zhe , Tan ZiLong , Liu XinXian , Wang ZeKun , Xiong Bo , Shen XiaoLi , Zhu XinGen 
Published: June 2023

Abstract
There has been an upward trend in the incidence of glioma, with high recurrence and high mortality. The beta subunits of the 20S proteasome are encoded by the proteasome beta (PSMB) genes and may affect the proteasome's function in glioma, assembly and inhibitor binding. This study attempted to reveal the function of the proliferation and invasion of glioma cells, which is affected by proteasome 20S subunit beta 2 (PSMB2). We subjected the data downloaded from the TCGA database to ROC, survival, and enrichment analyses. PSMB2 expression was verified by quantitative PCR and Western blotting to identify the mRNA and protein levels. PSMB2 expression was higher in glioma tissues, and its expression positively correlated with poor prognosis and high tumor grade.
Treatment of central nervous system relapse in PLZF::RARA-positive acute promyelocytic leukemia by venetoclax combined with arubicin and cytarabine: a case report
Authors: Zhou Zhonghao , Zhu Feng , Wang Hui , Lu Fengyan , Xue Hongyi 
Published: June 2023

Abstract
Background: Patients with refractory acute promyelocytic leukemia and central nervous system relapse often have a poor prognosis. Among them, patients with the PLZF::RARA rearrangement have a poor response to all-trans retinoic acid and conventional chemotherapy. Venetoclax, a selective inhibitor of B-cell lymphoma-2 (BCL-2), can cross the blood–brain barrier and has been widely used in the treatment of acute myeloid leukemia in recent years.
Case presentation: We report a case of central nervous system relapse in a patient with acute promyelocytic leukemia with PLZF::RARA rearrangement who achieved complete remission after treatment with anthracycline cytotoxic chemotherapy in combination with venetoclax. The concentration of venetoclax in the cerebrospinal fluid (CSF) was found to be approximately 1/1000 of that in the plasma based on liquid chromatography–tandem mass spectrometry. After the first treatment course, the PLZF::RARA test result for the patient’s marrow fluid sample turned negative. After the third treatment course, abnormal promyelocytic leukemia cells in the CSF were not detected using flow cytometry, and the PLZF::RARA test in the CSF remained negative.
Conclusion: This case report highlights a new approach to the treatment of central nervous system relapse in patients with PLZF::RARA-positive acute promyelocytic leukemia.
Bayesian belief network modeling approach for predicting and ranking risk factors for malaria infections among children under five years in refugee settlements in Uganda
Authors: Semakula Henry Musoke , Liang Song , Mukwaya Paul Isolo , Mugagga Frank , Nseka Denis , Wasswa Hannington , Mwendwa Patrick , Kayima Patrick , Achuu Simon Peter , Nakato Jovia 
Published: June 2023

Abstract
Background
Malaria risk factors at household level are known to be complex, uncertain, stochastic, nonlinear, and multidimensional. The interplay among these factors, makes targeted interventions, and resource allocation for malaria control challenging. However, few studies have demonstrated malaria’s transmission complexity, control, and integrated modeling, with no available evidence on Uganda’s refugee settlements. Using the 2018–2019 Uganda’s Malaria Indicator Survey (UMIS) data, an alternative Bayesian belief network (BBN) modelling approach was used to analyse, predict, rank and illustrate the conceptual reasoning, and complex causal relationships among the risk factors for malaria infections among children under-five in refugee settlements of Uganda.
Methods
In the UMIS, household level information was obtained using standardized questionnaires, and a total of 675 children under 5 years were tested for malaria. From the dataset, we created a casefile containing malaria test results, demographic, social-economic and environmental information. The casefile was divided into a training (80%, n = 540) and testing (20%, n = 135) datasets. The training dataset was used to develop the BBN model following well established guidelines. The testing dataset was used to evaluate model performance.
Results
Model accuracy was 91.11% with an area under the receiver-operating characteristic curve of 0.95. The model's spherical payoff was 0.91, with the logarithmic, and quadratic losses of 0.36, and 0.16 respectively, indicating a strong predictive, and classification ability of the model. The probability of refugee children testing positive, and negative for malaria was 48.1% and 51.9% respectively. The top ranked malaria risk factors based on the sensitivity analysis included: (1) age of child; (2)roof materials (i.e., thatch roofs); (3)wall materials (i.e., poles with mud and thatch walls); (4)whether children sleep under insecticide-treated nets; 5)type of toilet facility used (i.e., no toilet facility, &pit latrines with slabs); (6)walk time distance to water sources, (between 0–10minutes); (7)drinking water sources (i.e., open water sources, and piped water on premises).
Conclusion
Ranking, rather than the statistical significance of the malaria risk factors, is crucial as an approach to applied research, as it helps stakeholders determine how to allocate resources for targeted malaria interventions within the constraints of limited funding in the refugee settlements.
Establishment of a differential diagnosis method and an online prediction platform for AOSD and sepsis based on machine learning
Authors: Zhou Dongmei , Xie Jingzhi , Wang Jiarui , Zong Juan , Fang Quanquan , Luo Fei , Zhang Ting , Ma Hua , Cao Lina , Yin Hanqiu , Yin Songlou , Li Shuyan 
Published: June 2023

Abstract
Objective. The differential diagnosis between Adult-onset Still's disease (AOSD) and sepsis has always been a challenge. In this study, a machine learning model for differential diagnosis of AOSD and sepsis was developed and an online platform was developed to facilitate the clinical application of the model.
Methods. All data were collected from 42 AOSD patients and 50 sepsis patients admitted to Affiliated Hospital of Xuzhou Medical University from December 2018 to December 2021. In addition, 5 AOSD patients and 10 sepsis patients diagnosed in our hospital after March 2022 were collected for external validation. All models were built using the scikit-learn library (version 1·0·2) in Python(version 3·9·7), and feature selection was performed using the SHAP (Shapley Additive exPlanation) package developed in Python.
Results. The results showed that the gradient boosting decision tree(GBDT) optimization model based on arthralgia, ferritin × lymphocyte count, white blood cell count, ferritin × platelet count, and α1-acid glycoprotein/creatine kinase could well identify AOSD and sepsis. The training set interaction test (AUC: 0·9916, ACC: 0·9457, Sens: 0·9556, Spec: 0·9578) and the external validation also achieved satisfactory results (AUC: 0·9800, ACC: 0·9333, Sens: 0·8000, Spec: 1·000). We named this discrimination method AIADSS (AI-assisted discrimination of Still's disease and Sepsis) and created an online service platform for practical operation, the website is http://cppdd.cn/STILL1/.
Conclusion. We created a method for the identification of AOSD and sepsis based on machine learning. This method can provide a reference for clinicians to formulate the next diagnosis and treatment plan.