bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Realization of a Logistics Management Information System for Modern Logistics Enterprises Based on Java Stability and Robustness
Authors: Ma Mingze 
Published: April 2023

Abstract

In order to standardize the logistics management process of Chinese logistics enterprises, we analyzed the current state of logistics management of many large logistics enterprises in China and designed, researched, and developed a logistics management information system for modern logistics enterprises in China from the perspective of information integration. This research addresses several key issues and requirements in China’s logistics information management, such as complete basic information and management index system based on project and business contract management methods and linked logistics enterprise contract management subsystem, personnel management subsystem, transportation management subsystem, quality management subsystem, warehouse management subsystem, loading and unloading management subsystem, labor management subsystem, insurance management subsystem, property management subsystem, and system integration of the basic information subsystem. The information system is designed, researched and developed by Java, the information system has passed the function test and robustness test, and runs stably with remarkable economic benefits.
Spatio-temporal Characteristics of Meteorological Drought based on the MCI of Penman-Monteith
Authors: Yu Haixia , Yang Dandan , Liu Bingjun , Fu Jianyu , Liang Zhihao 
Published: April 2023

Abstract
The severity of global climate change is increasing, resulting in more frequent occurrences of drought disasters. Accurate evaluation of Spatio-temporal changes in drought using drought indices is of significant practical importance. This study employed the MCI based on Penman-Monteith, in combination with Kriging spatial interpolation, linear trend analysis, Mann-Kendall mutation test, and the EOF analysis to analyze annual and seasonal variations of different drought level days, drought station ratio, drought impact range, and drought cumulative intensity, and to study their interrelationships. The focus of this article is on the Spatio-temporal characteristics of meteorological drought in the Pearl River Basin over the past 60 years. The findings indicate that the annual average number of drought days exhibits a decreasing trend from the central to the eastern and western parts of the basin, with the western region experiencing more drought days than the eastern region. Furthermore, the highest frequency of drought occurs in winter, followed by spring and autumn, while summer experiences the lowest frequency. Additionally, there is a positive correlation between the drought impact range and drought cumulative intensity. Based on the EOF decomposition, the drought cumulative intensity can be primarily divided into two modes, the drought consistently changes throughout the entire basin, and the wet-dry distribution is opposite in the western and eastern parts. Studying the drought conditions in the Pearl River Basin based on the MCI can not only provide reference for drought research in different regions of the world but also provide a scientific basis for global climate change response and drought management and forecasting.
Delayed intracranial hemorrhage after head trauma seems rare and rarely needs intervention - even in antiplatelet or anticoagulation therapy
Authors: Bergenfeldt Henrik , Forberg Jakob Lundager , Lehtinen Riikka , Anefjäll Ebba , Vedin Tomas 
Published: April 2023

Abstract
Background Traumatic brain injury causes morbidity, mortality and many emergency department visits. Computerized tomography of the head is the gold standard to detect traumatic intracranial hemorrhage. Some are not diagnosed at the first scan and they are denoted “delayed intracranial hemorrhages”. To detect these delayed hemorrhages, current guidelines for head trauma recommend observation and/or rescanning for patients on anticoagulation therapy but not for patients on antiplatelet therapy. The aim of this study was to investigate the prevalence and need for interventions of delayed intracranial hemorrhage after head trauma.Methods The study was a retrospective review of medical records of adult patients with isolated head trauma presenting at Helsingborg General Hospital between January 1 2020 to December 31, 2020. Univariate statistical analyses were performed.Results In total, 1627 patients were included and four (0.25%, 95% confidence interval 0.06–0.60%) patients had delayed intracranial hemorrhage. One of these patients was diagnosed within 24 hours and three within 2–30 days. The patient diagnosed within 24 hours and one of the patients diagnosed within 2–30 days were on antiplatelet therapy. None of these four patients were prescribed anticoagulation therapy and no intensive care, no neurosurgical operations or deaths were recorded.Conclusion Traumatic delayed intracranial hemorrhage seems rare and consequences mild and antiplatelet and anticoagulation therapy might confer similar risk. Because serious complications appear rare, observing and/or rescanning all patients with either of these medications can be debated. Risk stratification of these patients might have the potential to identify the patients at risk while safely reducing observation times and rescanning.
Giant ionospheric density hole near the 2022 Hunga-Tonga volcanic eruption: Multi-point satellite observations
Authors: Choi Jong-Min , Lin Charles , Rajesh P. K. , Lin Jia-Ting , Chou Marty , Kwak Young-Sil , Chen Shih-Ping 
Published: April 2023

Abstract
A giant ionospheric hole was simultaneously detected in the in-situ measurements of FORMOSAT-7/COSMIC-2 (F7/C2), Ionospheric Connection Explorer (ICON), Swarm missions, and ground-based total electron content (TEC) by global navigation satellite system receivers, and F7/C2 Global Ionosphere Specification (GIS) data near Tonga, following the explosive volcano eruption on 15 January 2022. The TEC maps displayed the huge depletions that developed near Tonga after the eruption and gradually evolved. The ICON IVM, F7/C2 IVM and Swarm-LP detected large depletions not only near Tonga but also in the EIA trough region. The GIS observations clearly show the ionospheric hole that extends spatially near Tonga, especially strongly south/southward. The simultaneous observations showed that the ionosphere hole near Tonga combined with the EIA trough and finally evolved into a giant ionosphere hole around 07 UT. The ionospheric hole, which occurred at 05 UT near Tonga, extended over a wide area of 160°-200°E and 25°S-20°N and lasted for about 11 hours. The F7/C2 and ICON satellites overpasses showed large ion density depletions by the hole at orbit altitudes, accompanied by enhancements in ion temperature and field-aligned and vertical ion drift. Such a long-lasting giant ionospheric hole by a seismic event has not been reported earlier, creating a unique ionospheric environment near Tonga after the eruption. The strong successive impulses by multiple volcano eruptions, together with O/N2 decrease in the summer hemisphere, interhemispheric wind, and water vapor injection into high altitudes apparently yielded such a giant ionospheric hole, 4 ~ 6 times larger than that observed during the Tohoku earthquake.
Study protocol of short-course radiotherapy combined with CAPOX and PD-1 inhibitor for locally advanced colon cancer: a randomized, prospective, multicentre, phase Ⅱ trial (TORCH-C)
Authors: Zhang Hui , Li Yaqi , Xia Fan , Sun Yiqun , Shen Lijun , Wan Juefeng , Chen Yajie , Wang Yaqi , Zhou Menglong , Wu Ruiyan , Zhou Shujuan , Wang Yan , Liu Fangqi , Cai Sanjun , Zhang Zhen 
Published: April 2023

Abstract
Background The preliminary result of the TORCH trial has showed promising complete response (CR) for managing locally advanced rectal cancer (LARC) with neoadjuvant short-couse radiotherapy (SCRT) combined with chemotherapy and PD-1 inhibitor. For locally advanced colon cancer (LACC) with bulky nodal disease and/or clinically T4, neoadjuvant chemotherapy followed by colectomy with en bloc removal of regional lymph nodes is the suggested treatment. However, the CR rate is less than 5%. TORCH-C will aim to investigate neoadjuvant short-couse radiotherapy combined with chemotherapy and PD-1 inhibitor in LACC.Methods TORCH-C is a randomized, prospective, multicentre, double-arm, open, phase Ⅱ trial of SCRT combined with chemotherapy and immunotherapy in LACC with microsatellite-stable (MSS) patients and cT4 or bulky nodes. Eligible patients will be identified by the multidisplinary team. 120 patients will be randomized 1:1 to the intervention or control arm. The patients in the control arm will receive 4 cycles of capecitabine plus oxaliplatin (CAPOX). The patients in the intervention arm will receive SCRT, followed by 4 cycles of CAPOX and PD-1 inhibitor (Serplulimab). Both arms will receive curative surgery, followed by 4 cycles of CAPOX. The primary endpoint is pathologic complete regression (pCR).Discussion TORCH-C trial aims to investigate whether the combination of immunotherapy and chemoradiotherapy improves the treatment effect in LACC with MSS. TORCH-C will establish the TORCH platform, a key part of our long-term strategy to develop neoadjuvant treatment for colorectal cancer (CRC).Trial registration: The trial has been registered in ClinicalTrials.gov on Feburary 16, 2023 (Registration No. NCT05732493).
The Queensland Virtual Integrated Practice (VIP) Partnership Program pilot study: An Australian-first model of care to support rural general practice
Authors: Lepre Breanna , Job Jennifer , Martin Zena , Kerrigan Natalie , Jackson Claire 
Published: April 2023

Abstract
Background There is a critical lack of medical workforce internationally, and this is particularly notable in rural and remote Australia where strategies to address workforce shortages are urgently required. This pilot study aimed to implement and evaluate a Virtual Integrated Practice (VIP) Program in the Australian rural primary care setting.Methods The VIP model was developed using co-creation methodology and involves an urban GP joining a rural general practice team to provide ongoing care to patients remotely via secure telehealth. The pilot study was conducted in two western Queensland general practices, commencing in October 2021 with one rural practice and extending to an additional rural practice from November 2022. Evaluation included a retrospective review of service, billing and cost data, and an online survey for patients. Ethical approval was obtained from the University of Queensland Human Research Ethics Committee (Project number: 2021/HE002434).Results There were 1468 services provided through to December 2022, including general consults (n = 1197), therapeutic procedures (n = 68), mental health treatment plans (n = 68) and chronic disease management plans (n = 59). Patients were predominantly female (73.1%) and did not have their appointment at the practice (57.8%). Among 1282 occasions of service, less than 20% of consultations (n = 224) required support from staff (e.g., a nurse), and more than half were repeat patient encounters (53.0%). Survey respondents (n = 45) indicated that they were satisfied (9.3%) or highly satisfied (90.7%) with the care provided, and importantly, 95.5% of respondents reported that the service improved their access to the GP. More than 20% of respondents indicated that they would attend the Emergency Department if virtual care was not available.Conclusions Data from this pilot study has informed translation to an additional 20 vulnerable rural general practices in three further rural regions in Queensland in 2023 and evaluation is ongoing. This pilot study demonstrates the feasibility and acceptability of an innovative, digitally supported community-focussed, healthcare initiative to arrest the decline in rural general practice workforce, improve patient care access and support rural practice viability.
Intra-cesarean post placental introducer withdrawal IUD insertion technique: A new standardized technique for IUD insertion during cesarean section. A randomized controlled trial
Authors: seleem mostafa , sedik mona m , megahed azza mm , nabil hala 
Published: April 2023

Abstract
Background: The insertion of IUDs during caesarean section reduces the need for more manipulation and discomfort. This study aims to find out a standard technique for IUD insertion during cesarean section with the least possible problems especially displacement and missed threads.
Methods: A randomized controlled study was conducted at Kasr Al-Ainy Maternity hospital, Cairo University, Egypt. The study was conducted over the period of 12 months in the period from September 2020 till September 2021. Two groups of patients were selected; each group included 420 patients with desire for IUD insertion during cesarean section. Group (A) (Control group) was subjected to post-placental intrauterine device (Cupper T380) during cesarean section using conventional manual method, Group (B) (Study group): the IUD (Cupper T380) was placed at the top of the uterine fundus using a new technique (intra-cesarean post placental introducer withdrawal IUD insertion technique).
Results: There was significant statistical difference between the two groups in the term of displacement of the IUDs at the end of puerperium, at 6 months, non-visualization of IUD threads and continuation of use with p-value<0.05. There was no significant statistical difference in the term of duration of surgery.
Conclusion: The new technique of post-placental IUD insertion can be the standard technique of intra-cesarean section IUD insertion as it is associated with more favorable outcomes among the included women in the form of lower incidence of IUD displacement, non-visualization of IUD strings and higher rates of continuation without increasing the duration of surgery as compared with the conventional manual technique.
Trial registration: ClinicalTrial.gov ID: NCT05788354, registration date: 28/03/2023 (retrospectively registered)
Relationship of Distress and Quality of Life with Gut Microbiome composition in Newly Diagnosed Breast Cancer Patients: a prospective, observational study
Authors: Lee Chi-Chan , Yang Horng-Woei , Liu Chih-Ju , Lee Fan , Ko Wen-Ching , Chang Yuan-Ching , Yang Po-Sheng 
Published: April 2023

Abstract
There is little research about the stress, quality of life (QOL) and gut microbiota in newly diagnosed breast cancer patients. We sought to determine the relationship of distress scale and FACT-B different domain and fecal microbial composition among newly diagnosed breast cancer patients. Total 82 newly diagnosed breast cancer patients were enrolled in this prospective, observational study. The mean score of the FACT-B was 104.5 (SD, 19.76). The mean DT score was 4.43, with 53.7% (44/82) of the patients reporting moderate to severe distress (score 5 or above). Several associations between distress, FACT-B different domain and microbial taxa were observed among this sample of breast cancer patients. Specifically, Alcaligenaceae and Sutterella were significantly more abundant in individuals with higher scores on the DT scale at the family and genus level, respectively (p = 0.017), while Streptococcaceae (p = 0.028) at the family level and Streptococcus (p = 0.023) at the genus level were significantly more abundant in individuals with lower scores on the DT scale. This study defines the relationships among stress, QOL and gut microbiota in newly diagnosed breast cancer patients and provides many useful information to find potential probiotics for decreasing stress and improving QOL in breast cancer patients.
A combination of air–liquid interface culture and differentiation factors promotes the formation of intestinal structure
Authors: 小川 勇 , Iwao Takahiro , Matsunaga Tamihide 
Published: April 2023

Abstract
Reproducing intestinal cells in vitro is important in pharmaceutical research and drug development. Currently, Caco-2 cells and human induced pluripotent stem cell (iPS cell)-derived intestinal epithelial cells are widely used, but there are a few evaluation systems that mimic the three-dimensional structure of the crypt-villus-like structure. Therefore, we attempted to generate intestinal cells mimicking the three-dimensional structure from human iPS cells.
After inducing the differentiation of iPS cells into intestinal organoids, they became single-celled and were cultured two-dimensionally. Air–liquid interface culture was used, and CHIR99021, forskolin , and A-83-01 were used as key compounds. In addition to general analyses, the 3D structure of cells in culture was observed using Cell3iMager Estier to quantify cell irregularities and height. Long-term culture was also performed by adding Wnt3a, Noggin, and RSPO1, which are frequently used in organoid culture.
For results, the combination of air–liquid interface culture and several compounds successfully induced the formation of a crypt-villus-like structure, which grew rapidly around day 6. The expression of pharmacokinetic genes such as CYP3A4 was also enhanced. Moreover, the addition of Wnt3a, Noggin, and RSPO1 stabilized the expression of genes involved in the maintenance of intestinal stem cells, and the cells were successfully cultured for a long period of 22 days.
We were able to construct a crypt-villus-like convexitystructure on a very simple culture platform, viz., cell culture inserts. The characteristics of this structure were extremely similar to those of living intestinal tissues, and it might possess homeostatic mechanisms similar to those of living organisms.
Galectin-1 promotes gastric cancer peritoneal metastasis through peritoneal fibrosis
Authors: Shen Xianhe , Liu Huilan , Zhou Haihua , Cheng Zhiyi , Liu Guiyuan , Huang Chuanjiang , Dou Rongrong , Liu Fuxing , you Xiaolan 
Published: April 2023

Abstract
Peritoneal metastasis is one of the main causes of death in patients with gastric cancer (GC). Galectin-1 regulates various undesirable biological behaviors in GC and may be key in GC peritoneal metastasis. In this study, we elucidated the regulatory role of galectin-1 in GC cell peritoneal metastasis. GC and peritoneal tissues underwent hematoxylin–eosin (HE), immunohistochemical (IHC), and Masson trichrome staining to analyze the difference in galectin-1 expression and peritoneal collagen deposition in different GC clinical stages. The regulatory role of galectin-1 in GC cell adhesion to mesenchymal cells and in collagen expression was determined using HMrSV5 human peritoneal mesothelial cells (HPMCs). Collagen and corresponding mRNA expression were detected with western blotting and reverse transcription RT-PCR, respectively. The promoting effect of galectin-1 on GC peritoneal metastasis was verified in vivo. Collagen deposition and collagen I, collagen III, and fibronectin 1 (FN1) expression in the peritoneum of the animal models were detected by Masson trichrome and IHC staining. Galectin-1 and collagen deposition in the peritoneal tissues was correlated with GC clinical staging and were positively correlated. Galectin-1 enhanced the ability of GC cells to adhere to the HMrSV5 cells by promoting collagen I, collagen III, and FN1 expression. The in vivo experiments confirmed that galectin-1 promoted GC peritoneal metastasis by promoting peritoneal collagen deposition. To conclude, galectin-1-induced peritoneal fibrosis may create a favorable environment for GC cell peritoneal metastasis.
Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease.
Authors: Gálvez-Barrón César , Pérez-López Carlos , Villar-Álvarez Felipe , Ribas Jesús , Formiga Francesc , Chivite David , Boixeda Ramón , Iborra Cristian , Rodríguez-Molinero Alejandro 
Published: April 2023

Abstract
Heart failure (HF) and chronic obstructive pulmonary disease (COPD) are two chronic diseases with the greatest adverse impact on the general population, and early detection of their decompensation is an important objective. However, very few diagnostic models have achieved adequate diagnostic performance. The aim of this trial was to develop diagnostic models of decompensated heart failure or COPD exacerbation with machine learning techniques based on physiological parameters. A total of 135 patients hospitalized for decompensated heart failure and/or COPD exacerbation were recruited. Each patient underwent three evaluations: one in the decompensated phase (during hospital admission) and two more consecutively in the compensated phase (at home, 30 days after discharge). In each evaluation, heart rate (HR) and oxygen saturation (Ox) were recorded continuously (through a pulse oximeter) during a period of walking for 6 minutes, followed by a recovery period of 4 minutes. To develop the diagnostic models, predictive characteristics related to HR and Ox were initially selected through classification algorithms. Potential predictors included age, sex and baseline disease (heart failure or COPD). Next, diagnostic classification models (compensated vs. decompensated phase) were developed through different machine learning techniques. The diagnostic performance of the developed models was evaluated according to sensitivity (S), specificity (E) and the accuracy (A). Data from 22 patients with decompensated heart failure, 25 with COPD exacerbation and 13 with both decompensated pathologies were included in the analyses. Of the 99 characteristics of HR and Ox initially evaluated, 19 were selected. Age, sex and baseline disease did not provide greater discriminative power to the models. The techniques with S and E values above 80% were logistic regression (S: 80.83%; E: 86.25%; A: 83.61%) and the support vector machine (S: 81.67%; E: 85%; A: 82.78%). The diagnostic models developed achieved good diagnostic performance for decompensated HF or COPD exacerbation. To our knowledge, this study is the first to report diagnostic models of decompensation potentially applicable to both COPD and HF patients. However, these results are preliminary and it warrants further investigation to be confirmed.
A Multi-stage Neural Network Approach for Coronary 3D Reconstruction from Uncalibrated X-ray Angiography Images
Authors: Iyer Kritika , Nallamothu Brahmajee K. , Figueroa C. Alberto , Nadakuditi Raj R. 
Published: April 2023

Abstract
We present a multi-stage neural network approach for 3D reconstruction of coronary artery trees from uncalibrated 2D X-ray angiography images. This method uses several binarized images from different angles to reconstruct a 3D coronary tree without any knowledge of image acquisition parameters. The method consists of a single backbone network and separate stages for vessel centerline and radius reconstruction. The output is an analytical matrix representation of the coronary tree suitable for downstream applications such as hemodynamic modeling of local vessel narrowing (i.e., stenosis). The network was trained using a dataset of synthetic coronary trees from a vessel generator informed by both clinical image data and literature values on coronary anatomy. Our multi-stage network achieved sub-pixel accuracy in reconstructing vessel radius (RMSE = 0.16 ± 0.07mm) and stenosis radius (MAE = 0.27 ± 0.18mm), the most important feature used to inform diagnostic decisions. The network also led to 52% and 38% reduction in vessel centerline reconstruction errors compared to a single-stage network and projective geometry-based methods, respectively. Our method demonstrated robustness to overcome challenges such as vessel foreshortening or overlap in the input images. This work is an important step towards automated analysis of anatomic and functional disease severity in the coronary arteries.