bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mismatch repair, p53, and L1 cell adhesion molecule status influence the response to chemotherapy in advanced and recurrent endometrial cancer
Authors: Kim Jung Chul , Ahn Byungsoo , Lee Yong Jae , Nam Eun Ji , Kim Sang Wun , Kim Sunghoon , Kim Young Tae , Park Eunhyang , Lee Jung-Yun 
Published: September 2023

Abstract

Objective
This study aimed to identify the recurrence and survival rates according to the mismatch repair (MMR), p53, and L1 cell adhesion molecule (L1CAM) status in patients with advanced and recurrent endometrial cancer (EC) receiving systemic chemotherapy.
Methods
This single-center retrospective cohort study included chemotherapy-naïve patients with advanced-stage (III/IV) or recurrent EC between January 2015 and June 2022 (n = 156), who were administered chemotherapy as adjuvant therapy or first-line palliative treatment. MMR and p53 status were assessed, and L1CAM was tested using immunohistochemistry in the p53-wild and MMR-proficient (p53wt/pMMR) group. The primary outcomes were progression-free survival (PFS) and overall survival (OS).
Results
Of the 156 patients, 62 (39.7%), 53 (34.0%), and 41 (26.3%) had p53wt/pMMR, abnormal p53 (p53abn), and MMR-deficient (dMMR) tumors, respectively. PFS and OS were longest in dMMR, followed by p53wt/pMMR, and were the least in p53abn tumors (PFS: p = 0.0006, OS: p = 0.0013). After p53wt/pMMR was classified according to positive or negative L1CAM status, the L1CAM negative group exhibited significantly shorter survival rates than the L1CAM positive group (PFS: p = 0.0001, OS: p = 0.0027). p53abn tumors were independent prognostic factors for poor PFS (PFS: p = 0.039 on multivariable analysis).
Conclusion
In chemotherapy-naïve patients with advanced and recurrent EC, there was a better prognosis in the order of MMR-D, p53wt/pMMR, and p53abn tumors after chemotherapy. L1CAM status is useful as a new marker to stratify p53wt/pMMR in advanced and recurrent groups.
Biomarkers of prothrombotic state and risk assessment of exacerbations in patients with Chronic Obstructive Pulmonary Disease
Authors: Jin Yan , Zhu Ke , Wu Shiyu , He Shiyi , Cao Chao 
Published: September 2023

Abstract
Background
Epidemiologic studies have shown that exacerbation of COPD suffered from the morbidity and mortality from venous thromboembolism (VTE) and poor diagnosis. Von Willebrand factor (vWF) and plasminogen activator inhibitor type-1 (PAI-1) are frequently investigated in COPD as the crucial parameter for coagulation and fibrinolysis. Nevertheless, the role of vWF and PAI-1 in ECOPD needs further exploration.
Objective
We sought to evaluate the hypercoagulability in ECOPD and investigate the association of plasma vWF and PAI-1 with the symptoms and risk of exacerbation of COPD.
Methods
57 ECOPD patients and 34 control subjects were enrolled in our study. The concentration of plasma vWF and PAI-1 were measured by ELISA kit. Independent samples t-test or Wilcoxon rank sum test were applied for group comparison. Spearman correlation analysis, subject work curve (ROC) analysis, and Logistic regression were used to evaluate the plasma vWF and PAI-1 in ECOPD.
Results
Plasma vWF and PAI-1 correlated in total participants and ECOPD subgroups. Compared with control subjects, vWF and PAI-1 in COPD patients are higher. Both vWF and PAI-1 have a high value in predicting the risk of COPD (vWF: AUC = 0.8741, P < 0.001; PAI-1: AUC = 0.8222, P < 0.001). Moreover, elevated vWF could be an independent risk factor for COPD (OR = 1.01, 95%CI:1.00-1.01, P = 0.01). Compared to the COPD “AB” group, the plasma concentrations of vWF and PAI-1 significantly increased in the "E" group. The better predictive effects of vWF and PAI-1 on the exacerbation risk of COPD presented. Plasma vWF positively correlated with patients' CAT scores and SGRQ scores.
Conclusion
The increased risk for COPD occurrence and exacerbation would be reflected in the high level of plasma vWF, and PAI-1 could be a complementary biomarker.
Assessment of the dynamic balance between water supplies and demands in arid environments with policy options using WEAP
Authors: Hadi Khalid , Aliewi Amjad , Sadeqi Dalal , Abdulhadi Ahmed 
Published: September 2023

Abstract

The water situation in arid environments (with Kuwait as a case study) is fragile due to climate change; population growth; economic development; urbanization; irrational behaviors in consumption patterns; and water pollution which in their entirety threaten water security for such environments. The integrated water resources planning software (WEAP) was used to assess the actual water supply sustainability for Kuwait for 2000 to 2023 period. Then WEAP was used with realistic annual growth rates to project water demands over 2024 to 2035 in order to assess a suitable socio-economic future for Kuwait’s water supply sustainability. On average, the actual total water supply was found to 1,375 Mm3/yr disaggregated for domestic, industrial and agricultural sectors as 603 (44%), 75 (5%) and 697 (51%) Mm3/yr respectively. It was also found that each capita consumes for domestic and industrial purposes 214 m3/yr. It was found that annual growth rates of 2%, 2% and 3% are suitable to be used to project water requirements (demands) between 2024 and 2035 for domestic, industrial and agricultural sectors respectively. This will result in water shortage of 332 Mm3/yr during the period 2024 to 2035. Kuwait is called to implement strategic solutions of full reuse of treated wastewater and the virtual water concept for agricultural development purposes. This study demonstrates that when Kuwait implements these solutions, it can reduce CO2 emissions by 1.66 million tons saving $810 million annually. With the proper measures and policies, Kuwait can reduce their bulk water demand by 332 million cubic meters saving $1.627 billion dollars per year.
Acclimatization and Foraging of Native Brazilian Stingless Bees in Arenas with Covering Materials of Different Spectral Properties
Authors: Ramos Davi de Lacerda , Borduchi Luis Carlos Leva , Costa Raíssa , Fontes Eliana Maria Gouveia , Laumman Raul Alberto , Menezes Cristiano , Mota Theo Rolla Paula , Sujii Edison Ryoti , Pires Carmen Sílvia Soares 
Published: September 2023

Abstract
The use of Meliponini for crop pollination in protected environments is practically non-existent. One of the reasons is the difficulty of acclimatizing Meliponini to the temperature and light conditions inside greenhouses. We investigated how materials used in greenhouses, which filter different intensities of ultraviolet (UV) light, affect the foraging behaviors, flight orientation, attraction to walls and ceilings, and mortality of Scaptotrigona cf. postica (Letreille, 1807), Frieseomelitta varia (Lepeletier, 1836), and Melipona quadrifasciata (Lepeletier, 1836). The experiments were conducted in 5.3 m3 arenas covered with four types of plastic films that do not polarize sunlight, with UV transmittance levels ranging from 0.29% to 87.88%, compared to a transparent glass control. The temperature inside the arenas varied between treatments, from 27°C ± 3.21 to 31°C ± 2.21. All three species collected resources and returned to the colony, regardless of the covering material. However, the proportion of this behavior, the number of bees attracted to the ceiling and wall, and mortality varied among treatments and/or throughout the confinement days for each species. Melipona quadrifasciata and F. varia acclimatized better to the confined environments than S. cf. postica and showed consistent resource collection behavior throughout the confinement days in all tested materials, except for the one that filtered more than 90% of UV. In all three species, the mortality gradually decreased throughout the confinement days. The results indicate that the choice of covering material, considering its optical characteristics, can be crucial to ensure greater effectiveness of the pollination services provided by stingless bees in protected systems.
First-in-human clinical trial of personalized neoantigen vaccines as early intervention in untreated patients with lymphoplasmacytic lymphoma
Authors: Kwak Larry , Szymura Szymon , Wang Lin , Zhang Tiantian , Cha Soung-chul , Dong Zhenyuan , Anderson Aaron , Oh Elizabeth , Lee Vincent , Wang Zhe , Parshottham Sapna , Rao Sheetal , Olsem Jasper , Crumpton Brandon , Lee Hans , Manasanch Elisabet , Neelapu Sattva , Thomas Sheeba 
Published: September 2023

Abstract

Lymphoplasmacytic lymphoma (LPL) is an incurable low-grade B-cell lymphoma of the bone marrow. Despite a cumulative risk of progression, there is no approved therapy for patients in the asymptomatic phase. We conducted a first-in-human clinical trial of a novel therapeutic DNA idiotype neoantigen vaccine in nine patients with asymptomatic LPL. Treatment was well tolerated with no dose limiting toxicities. One patient achieved a minor response, and all remaining patients experienced stable disease, with median time to disease progression of 61+ months. Direct interrogation of the tumor microenvironment by single-cell transcriptome analysis revealed an unexpected dichotomous antitumor response, with significantly reduced numbers of clonal tumor mature B-cells, tracked by their unique BCR, and downregulation of genes involved in signaling pathways critical for B-cell survival post-vaccine, but no change in clonal plasma cell subpopulations. Downregulation of HLA class II molecule expression suggested intrinsic resistance by tumor plasma cell subpopulations and cell-cell interaction analyses predicted paradoxical upregulation of IGF signaling post vaccine by plasma cell, but not mature B-cell subpopulations, suggesting a potential mechanism of acquired resistance. Vaccine therapy induced dynamic changes in bone marrow T-cells, including upregulation of signaling pathways involved in T-cell activation, expansion of T-cell clonotypes, increased T-cell clonal diversity, and functional tumor antigen-specific cytokine production, with little change in co-inhibitory pathways or Treg. Vaccine therapy also globally altered cell-cell communication networks across various bone marrow cell types and was associated with reduction of protumoral signaling by myeloid cells, principally non-classical monocytes. These results suggest that this prototype neoantigen vaccine favorably perturbed the tumor immune microenvironment, resulting in reduction of clonal tumor mature B-cell, but not plasma cell subpopulations. Future strategies to improve clinical efficacy may require combinations of neoantigen vaccines with agents which specifically target LPL plasma cell subpopulations, or enable blockade of IGF-1 signaling or myeloid cell checkpoints.
Shared decision-making underutilisation at an outpatient clinic during BMI monitoring in rural Uganda
Authors: Banturaki Amon , Kajoba Dickson , Pius Theophilus 
Published: September 2023

Abstract
Introduction:
Recall of medical instructions is associated with improved adherence to treatment. The recall of the Body Mass Index (BMI) is important for the improvement of adherence to treatments related to obesity. The burden of obesity all over the world has increased, including in many sub-Saharan African countries.
Objective
This study measured the recall of BMI, shared decision-making (SDM), and patients’ demographics to determine if they were associated.
Methods
The study was conducted at a rural hospital outpatient clinic in South Western Uganda. Data were collected using a questionnaire and collaboRate-5 tool for measuring shared decision-making. Data were analysed using SPSS version 20. The chi-square test and Pearson coefficient test were done.
Results
Out of the 92 participants in this study, the median age was 36 years, in an age range of 18 to 87 years, the majority were male 54 (58.7%), most had a background of attending formal education 75 (81.5%), 79 (85.9%) were not able to recall their BMI; 13 (14.1%) were able to recall their BMI. Only gender among demographic factors studied was associated with recall of BMI (p = 0.027). Shared decision-making was associated with the recall of BMI (P < 0.001).
Interpretation:
The prevalence of patients who are not able to recall their BMI after the outpatient clinic visit was high. Gender and the use of SDM were associated with recall of BMI. Measured items describing the use of SDM were only reported among 21(22.8%) participants. SDM was underutilised during the study period at the outpatient clinic. There is a need to have continuous medical education on SDM.
Effect of video consultation for non-acute headache by neurologist on consultation rate in general practice during one-year follow-up. Randomized controlled trial
Authors: Bekkelund Svein Ivar 
Published: September 2023

Abstract
Background
Patient´s access to headache specialists varies in the population. Video consultations may help, but the effect of using communication technology on headache management in the population is incompletely understood. This study determined whether use of video consultations for non-acute headache patients at specialist were noninferior to face-to-face consultations in the need for subsequent headache visits in general practice at follow-up.
Methods
Four hundred and two non-acute headache patients consecutively referred to neurologist from general practitioners in North Norway were included in a randomized controlled noninferiority trial. Frequency of patients consulting general practitioner for headache and median number of headache consultations 0–12 months after specialist consultation were compared between groups initially consulted by video or face-to-face consultations.
Results
Ninety-two (60.9%) of the patients in the video group and 93 (66.4%) in the face-to-face group consulted general practitioners for headache problems during the follow-up period, p = 0.274. The median (IQR range) number of consultations were 1 (IQR: 0–14) (video) and 1 (IQR: 0–15) (face-to-face), p = 0.154. Clinical characteristics including, headache impact, pain score and patients satisfied with headache information, communication, headache advice, diagnostic information, and headache medication at GP during follow-up were similar between the two groups.
Conclusion
Treating headache patients by using video consultations at neurologist did not result in higher consultation rate at follow-up in general practice. These data support use of video as a useful method in the treatment of headache at specialist in terms of organization of headache management in the population.
Trial registration:
Trial registration number NCT02270177. Registration date: October 2, 2014
The contribution of organic-rich mudstones to the Mesoproterozoic silicon cycle: criticality of microbial life
Authors: Piane Claudio Delle , Milliken Kitty , Crombez Vincent , Verrall Michael , Martin Laure , Rickard William , MacRae Colin , Wilson Nicholas , Aleshin Matvei 
Published: September 2023

Abstract
The secular evolution of marine silicon, carbon and phosphorous cycles influences interpretation of Earth’s life and climate histories. In today’s ocean, planktic siliceous skeletons are deposited in sediments as particulate biogenic opal that transforms to authigenic quartz. Si biomineralizing organisms only radiated in the early Phanerozic and in the absence of biosiliceous skeletal grains, the pathway for Si transfer from seawater into Pre-Cambrian sediments remains enigmatic.
Here we determine the abundance and stratigraphic distribution of authigenic quartz in the c. 1.38 Ga Velkerri Formation (Australia), a key archive of Mesoproterozoic ocean chemistry. Petrographic, geochemical and isotopic analyses demonstrate that a major fraction of quartz (up to 45 % of the rock volume) is not of extrabasinal, detrital origin but instead authigenic and concentrated in subunits rich in organic carbon and phosphorus, indicative of high primary productivity. We argue that this authigenic quartz results from recrystallization of amorphous silica sequestered from sea water due to the presence of cyanobacteria.
We probabilistically estimate that the Velkerri Formation contains several thousands cubic kilometres of authigenic quartz representing an important and previously unrecognised mineral record of silicification in Mesoproterozoic sedimentary basins, critically linked to bacterial blooms and organic carbon burial.
Physiological characteristics and transcriptomic analysis of response patterns of Gynura divaricata under NaCl stress
Authors: Zeng Yujie , Xiong Yuping , Liu Junyu , Chen Xiaohong , Li Jianrong , Jian Shuguang , Ren Hai , Zhang Xinhua , Li Yuan , Bian Zhan , Wu Kunlin , Zeng Songjun , Silva Jaime A. Teixeira , Ma Guohua 
Published: September 2023

Abstract
Soil salinity is a major environmental stress that restricts agricultural production worldwide. Gynura divaricata is widely cultivated on tropical islands in China and has both edible and medicinal value. NaCl stress and growth indicators, antioxidant enzyme activity, as well as MDA, proline, and soluble sugar content, were determined. Based on the transcriptomic data of G. divaricata tissue-cultured plantlets grown in control (0 mM NaCl) and (50 and 200 mM) NaCl stress conditions, the expression patterns of responsive genes were explored. KEGG enrichment analysis of differentially expressed genes indicated that plant hormone signaling, the MAPK signaling pathway, and starch and sucrose metabolism pathways, were significantly enriched, allowing the main biological pathways and salt stress-responsive genes of G. divaricata to be identified, and providing a molecular basis for breeding salt-tolerant varieties.
Prediction of Debris Flow Initiation Points using High Resolution DEM and GIS Analysis in South Korea
Authors: KIM Tae-yun , Yun Hong-Sik , Kwak Sang-Woo 
Published: September 2023

Abstract
This study presents a GIS analysis model that utilizes high-resolution Digital Elevation Map data to predict the initiation points of debris flow through the overlap of slope stability analysis techniques and rainfall flow analysis. The debris flow that occurred on Mount Woomyun in Seoul, South Korea in 2011 was selected as the case study for comparing and analyzing the prediction model against the actual case. In South Korea, occurrences of debris flow mostly happen during the summer monsoon season. When a substantial amount of rainfall accumulates and heavy rainfall events occur, the pore water pressure within slopes reaches saturation. Consequently, flow is initiated along "temporary streams." In this study, areas with a combination of low slope stability and abrupt changes in velocity vectors were assumed to have the highest probability of debris flow occurrence due to the overlapping of these factors. The research model was conducted under this assumption. To evaluate the performance of the model, 3D coordinates of the model's result point, and actual occurrence points were obtained, and a Pearson correlation analysis was conducted to compare them. With these results, R2 values of X = 0.9147, Y = 0.8625, and H = 0.8942 were obtained. These high R2 indicate a strong correlation between the model's predictions and actual occurrences.
Development and Performance Evaluation of Multi-Objective Approach-Based Spectrum Allocation in Cognitive Radio Network
Authors: Brahma Debashree , Swayamsiddha Swati , Panda Ganapati 
Published: September 2023

Abstract
For effective utilization of radio frequency, Spectrum Sensing (SS), Spectrum Decision (SD), Spectrum Allocation (SA), and Spectrum Management(SM) are some recent research directions in Cognitive Radio Networks (CRNs). Out of these sub-areas, the SA is an important task in CRN. In the past, researchers have addressed SA as a Single Objective Optimization (SOO) problem and have solved it by using bio-inspired techniques. But in reality, the SA has a multi-objective optimization problem. In the recent past, the SA problem has been addressed as a two objectives optimization problem and has been solved by Multi–Objective Bio-inspired Approach (MOBA). In the present paper, we have also considered spectral and energy efficiencies of the SA task as two independent objectives and then solved this problem using two different Multi-Objective Optimization (MOO) techniques. These two are the Multi-Objective Ant Lion Optimization Algorithm (MOALO) and the Multi-Objective Grasshopper Optimization Algorithm (MOGOA). The spectrum utilization performances achieved by the two approaches have been compared. In addition, the results obtained by the already reported Superior Population Genetic Algorithm (SPGA) based technique have also been compared. The analysis of simulation-based experimental results obtained from the three methods reveals that the proposed MOALO algorithm provides superior performance in terms of Pareto front and network capacity compared to the other two approaches. The proposed multi-objective methods can also be applied when the SA task is viewed as a three-objective optimization problem.
A Decision Support System Based on Recurrent Neural Networks to Predict Medication Dosage for Patients with Parkinson's Disease
Authors: Riasi Atiye , Delrobaei Mehdi , Salari Mehri 
Published: September 2023

Abstract
Using deep learning has demonstrated significant potential in making informed decisions based on clinical evidence. In this study, we deal with optimizing medication and quantitatively present the role of deep learning in predicting the medication dosage for patients with Parkinson's disease (PD). The proposed method is based on recurrent neural networks (RNNs) and tries to predict the dosage of five critical medication types for PD, including levodopa, dopamine agonists, monoamine oxidase-B inhibitors, catechol-O-methyltransferase inhibitors, and amantadine. Recurrent neural networks have memory blocks that retain crucial information from previous patient visits. This feature is helpful for patients with PD, as the neurologist can refer to the patient's previous state and the prescribed medication to make informed decisions. We employed data from the Parkinson's Progression Markers Initiative. The dataset included information on the Unified Parkinson's Disease Rating Scale, Activities of Daily Living, Hoehn and Yahr scale, demographic details, and medication use logs for each patient. We evaluated several models, such as multi-layer perceptron (MLP), Simple-RNN, long short-term memory (LSTM), and gated recurrent units (GRU). Our analysis found that recurrent neural networks (LSTM and GRU) performed the best. More specifically, when using LSTM, we were able to predict levodopa and dopamine agonist dosage with a mean squared error of 0.009 and 0.003, mean absolute error of 0.062 and 0.030, root mean square error of 0.099 and 0.053, and R-squared of 0.514 and 0.711, respectively.