bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic Predictive Scores for Cardiac Surgery-Associated Agitated Delirium: a single-center retrospective observational study
Authors: Tian Yu , Wang Jianhui , Wang Yuefu , Ji Bingyang , Diao Xiaolin , Wang Chunrong , Wang Weiwei , Gao Yuchen , Wang Sudena , Zhou Chun , Zhang Qiaoni , Gao Sizhe , Xu Xinyi , Liu Jia 
Published: September 2022

Abstract
Background
Prevention, screening, and early treatment are the mainstays of postoperative delirium management. Score system is an objective and effective tool to stratify potential delirium risk for patients undergoing cardiac surgery
Methods
Patients undergoing cardiac surgery from January 1, 2012, to January 1, 2019, were enrolled in our retrospective study. The patients were divided into a derivation cohort (n = 45,744) and a validation cohort (n = 11,436). The agitated delirium (AD) predictive systems were formulated using multivariate logistic regression analysis at three time points: preoperation, ICU admittance, and 24 hours after ICU admittance.
Results
The prevalence of AD after cardiac surgery in the whole cohort was 3.6% (2,085/57,180). The dynamic scoring system included preoperative LVEF ≤ 45%, serum creatinine > 100 umol/L, emergency surgery, coronary artery disease, hemorrhage volume > 600 mL, intraoperative platelet or plasma use, and postoperative LVEF ≤ 45%. The area under the receiver operating characteristic curve (AUC) values for AD prediction of 0.68 (preoperative), 0.74 (on the day of ICU admission), and 0.75 (postoperative). The Hosmer-Lemeshow test indicated that the calibration of the preoperative prediction model was poor (P = 0.01), whereas that of the pre- and intraoperative prediction model (P = 0.49) and the pre-, intra- and postoperative prediction model (P = 0.35) was good.
Conclusions
Using perioperative data, we developed a dynamic scoring system for predicting the risk of AD following cardiac surgery. The dynamic scoring system may improve early recognition of and interventions for AD.
Risk factors of recurrence and pregnancy in patients with borderline ovarian tumors: a retrospective study with 16-year follow-up
Authors: Lu Qi , Deng Yupeng , Zhang Zhiqiang , liu chongdong 
Published: September 2022

Abstract
Objective:This study analyzed the risk factors affecting recurrence in patients with borderline ovarian tumors （BOTs）after radical surgery and the risk factors influencing recurrence and pregnancy in patients after fertility sparing surgery (FSS).
Methods: This is a retrospective cohort study. Data was collected from clinical data of patients in the Beijing Chaoyang Hospital affiliated to Capital Medical University from January 2005 to November 2021. The clinicopathological and surgical variables were analyzed by univariate analyses and survival curves.
Results: A total of 169 BOT patients were included in this study. The median age was 45 years. Median follow-up time was 81months. Among these patients, 21 patients relapsed. There were 60 patients receiving FSS, of the 16 patients attempting to conceive, 13 patients have successfully conceived spontaneously. In univariate analyses, FIGO stage, invasive implantation, and chemotherapy were risk factors for recurrence of BOTs. FIGO stage was the only one risk factor after multivariate analysis. Tumor size and tumor site were risk factors for recurrence of BOTs receiving FSS. We didn’t find any risk factor for pregnancy of BOTs receiving FSS.
Conclusion: After univariate analysis and multivariate analysis, we found some risk factors for recurrence after radical surgery or FSS, but they didn’t affect the overall survival rate and pregnancy rate. Laparoscopy procedure is recommended and chemotherapy is not recommended for patients receiving FSS. We suggest that patients who preserve fertility should get pregnant as soon as possible and follow up closely.
Contrasting diversity and community composition of leaf- and root-associated bacterial communities from 13 tree species in a subtropical forest
Authors: Yang Hao , Zheng Yong , Yang Zhijie , Wang Quan-Cheng , Lü Peng-Peng , Hu Hang-Wei , Yang Yusheng , He Ji-Zheng 
Published: September 2022

Abstract
Deciphering the local diversity and community composition of plant-associated microorganisms is crucial to predict the ecological functioning in forest ecosystems. The differences in microbial diversity and community composition between tree’s aboveground and belowground compartments remain largely unknown. Here we examined the bacterial communities in the leaf surface and root-associated (root and rhizospheric soil) habitats of 13 tree species. The bacterial richness substantially differed across the three habitats, with the highest value observed in soil compartment. The variations of α-diversity (richness and diversity indices) amongst the 13 tree species were more obvious in leaf and soil habitats than in their corresponding roots. The community compositions were different across habitats and were significantly more divergent in leaf- than in root-associated habitats. Leaf nutrients and soil pH and NH4+-N were main factors influencing leaf- and root-related community compositions, respectively. This study highlights the contrasting diversity and community composition between leaf- and root-inhabiting bacteria. Our findings would improve understanding of the effect of compartments and tree identity on microbial diversity in the subtropical forest.
Socio-inspired Evolutionary Algorithms: A Unified Framework and Survey
Authors: Sharma Laxmikant , Chellapilla Vasantha Lakshmi , Chellapilla Patvardhan 
Published: September 2022

Abstract
Evolutionary computation has gone through vast and diverse research endeavors in the past few decades. Although the initial inspiration came from Darwin’s ideas of biological evolution, the field has moved thereon to ideas from the collective intelligence of insects, birds, and fish, to name a few. A variety of algorithms have been proposed in the literature based on these ideas and have been shown to perform well in various applications. More recently, inspiration from human behavior and knowledge exchange and transformation has given rise to a new evolutionary computing paradigm. It is well recognized that human societies and problem-solving capabilities have evolved much faster than biological evolution. Many research endeavors have been reported in the literature inspired by diverse aspects of human societies with corresponding terminologies to describe the algorithm. These endeavors have resulted in a plethora of algorithms worded differently from each other, but the underlying mechanisms could be more or less similar, causing immense confusion for a new reader. This paper presents a generalized framework for these Socio-inspired Evolutionary Algorithms (SIEAs) or Socio-inspired Metaheuristic Algorithms. A survey of various SIEAs is provided to highlight the working of these algorithms on a common framework, their variations and improved versions proposed in the literature, and their applications in various fields of search and optimization. The algorithmic description of each SIEA enables a clearer understanding of the similarities and differences between these methodologies. Efforts have been made to provide an extensive list of references with due context. In that sense, this paper could become an excellent reference as a starting point for anyone interested in this fascinating field of research.
Outcome of Patients with Soft Tissue Sarcomas of the Extremities and Trunk Treated by (Neo)adjuvant Intensity Modulated Radiation Therapy in Curative Intention
Authors: Dapper Hendrik , Hoyer Annika , Diehl Christian , Knebel Carolin , Mogler Carolin , Borm Kai , Görner Martin , Dobiasch Sophie , Combs Stephanie E. , Peeken Jan C. 
Published: September 2022

Abstract
BACKGROUND
Soft tissue sarcomas (STS) are a relatively rare group of malignant tumors. Currently, there is very little published clinical data, especially in the context of curative multimodal therapy with image-guided, conformal, intensity-modulated radiotherapy.
METHODS
Patients who received preoperative or postoperative intensity-modulated radiotherapy for STS of the extremities or trunk with curative intent were included in this single centre retrospective analysis. A Kaplan-Meier analysis was performed to evaluate survival endpoints. Multivariable proportional hazard models were used to investigate the association between survival endpoints and tumour-, patient-, and treatment-specific characteristics.
RESULTS
86 patients were included in the analysis. The most common histological subtypes were undifferentiated pleomorphic high-grade sarcoma (UPS) (27) and liposarcoma (22). More than two third of the patients received preoperative radiation therapy (72%). During the follow-up period, 39 patients (45%) suffered from some type of relapse, mainly remote (31%). The two-years overall survival rate was 88%. The median DFS was 48 months and the median DMFS was 51 months. Male gender (HR 0.460 (0.217; 0.973)) and histology of liposarcomas compared to UPS proved to be significantly more favorable in terms of DFS (HR 0.327 (0.126; 0.852)).
CONCLUSION
Conformal, intensity-modulated radiotherapy is an effective treatment modality in the preoperative or postoperative management of STS. Especially for the prevention of distant metastases, the establishment of modern systemic therapies or multimodal therapy approaches is necessary.
Long-term Benefits in Emergency Admissions, Hospitalization and Metabolic Control of an Integrated Continuous Glucose Monitoring and Insulin Pump System in a Cohort of Diabetic Patients
Authors: O´Meara Miguel Augusto , Mateus Juan Camilo , Uribe Andrea 
Published: September 2022

Abstract
Background: There is evidence in the literature that the use of sensor-augmented insulin pumps in patients with type 1 diabetes improves metabolic control. However, there is no long-term information on clinical outcomes such as hospitalization or admission to the emergency room.
Our paper describes the outcomes of metabolic control, incidence of hospitalizations and emergency room visits in a Colombian population using this technology.
Methods: A retrospective cohort study was carried out in patients with diabetes previously treated with an intensive insulin regimen at a specialized diabetes treatment center in Bogotá, Colombia, who required sensor-augmented insulin pumps due to poor metabolic control despite optimization of medical management. Glycated hemoglobin, severe hypoglycemic episodes, non-severe hypoglycemic episodes, perception of hypoglycemia, and the incidence of emergency room visits and hospitalizations before and after treatment were evaluated.
Results: Sixty-four patients with a median age of 36 years (interquartile range 27-46) were included in the study. We found statistical reduction of glycated hemoglobin (8.35% vs. 7%), non-severe hypoglycemic episodes (95.9% vs. 87.7%), emergency room visits (57.5%to 6.45%) and hospitalization (50% vs. 13.79%) in patients using CSII.
Conclusions: The use of sensor-augmented insulin pumps coupled with a strict follow-up program for patients with type 1 diabetes leads to a significant and sustained reduction in glycated hemoglobin and hypoglycemic episodes, as well as in the rate of emergency room visits and hospitalizations. These results encourage the adoption of this technology in patients who do not achieve metabolic control with optimal management of type 1 diabetes.
Exponential Decay for a Klein-Gordon-Schrödinger System with locally Distributed Damping
Authors: Poulou M. , Filippakis M. , Zanchetta J. 
Published: September 2022

Abstract
The following coupled damped Klein-Gordon-Schrödinger equations are considered
iψt + κψxx + iαb(x)ψ = φψχ(ω),
φtt − φxx + φ + λ(x)φt = −Reψxχ(ω),
where Ω is a bounded domain of R2, with smooth boundary Γ and ω is a neighbourhood of ∂Ω satisfying the geometric control condition. The aim of the paper is to prove the existence, uniqueness and uniform decay for the solutions following the ideas presented in the works of [1] and [2].
Mathematics Subject Classification (2010). 35B40, 35B45, 35Q55.
Gut Microbiome Variation in Pulmonary TB Patients with Diabetes or HIV Comorbidities
Authors: Morgan Portia Abena , Parbie Prince Kofi , Ntiamoah Desmond Opoku , Boadu Augustine Asare , Asare Prince , Lamptey Ivy Naa Koshie , Gorman Cecilia Nancy , Afreh Emmanuel , Asante-Poku Adwoa , Otchere Isaac Darko , Aboagye Sammy Yaw , YEBOAH-MANU DOROTHY 
Published: September 2022

Abstract
Background: The gut microbiota is known to play critical role in shaping the host immunity, and metabolism and influences the onset and progression of both communicable and non-communicable diseases. This study assessed the gut microbiome of tuberculosis (TB) cases with diabetes mellitus (DM) or HIV comorbidities before anti-TB therapy and after the intensive phase anti-TB therapy.
Methods: Ninety cases comprising 60 TB-only, 23 TB-DM, 7 TB-HIV were recruited, among which 35 TB-only, 10 TB-DM, 5 TB-HIV were also sampled after 2 months of anti-TB treatment. Total gut microbiome was detected by 16S rRNA gene sequencing of DNA extracted from collected stool specimen. The taxonomic and functional diversity of the different groups were compared in addition to changes that could occur after 2 months antibiotics use.
Results: Compared to the healthy controls, the gut microbiome of all the TB cohorts was characterized by a significant decreased alpha diversity and significant compositional changes. All the three TB cohorts were enriched with inflammatory related microorganisms of the genera Escherichia-shigella, Streptococcus, Enterococcus and Erysipelatoclostridiumwith depletion in beneficial taxa of the genera Faecalibacterium, Bifidobacteriumand Clostridium. In pairwise comparison with the healthy controls, the TB-only cohort were enriched with Streptococcus and Erysipelatoclostridium, the TB-DM enriched with Bacteroides, and TB-HIV enriched with Escherichia-shigella, Dialister and Erysipelatoclostridium. After the intensive phase anti-TB therapy, there was general enrichment of the genera Erysipelotrichaceae_UCG 003, Veillonella and Fusobacterium.
Conclusion: Our findings show a dysbiotic gut microbiome and associated increase in the number of inflammation related microorganism in gut of TB individuals with or without comorbidity.
Funding: European and Developing Countries Clinical Trials Partnership (EDCTP) Senior Fellowship to Dorothy Yeboah-Manu (TMA-2017-GSF-1942)
Photovoltaic Power Forecasting With a Long Short-Term Memory Autoencoder Networks
Authors: SABRI MOHAMMED , Hassouni Mohammed El 
Published: September 2022

Abstract
In many developed countries, photovoltaic solar power, which is considered the most cost-effective renewable energy source, accounts for a major portion of electricity production. The photovoltaic (PV) power generation are unpredictable and imprecise due to its high variation that can be caused of meteorological elements, to reduce the negative influence of the use of PV power, accurate PV power prediction is of crucial significance for the for the secure and efficient operation of photovoltaic power system operation. In light of this, we propose a long short-term memory (LSTM) autoencoder (AE) for photovoltaic power forecasting. Initially, to generate encoded sequences the LSTM-encoder extracts the characteristics from the input data. Then the LSTM-decoder decoded the encoded sequences to advance them to the last dense layer for photovoltaic power prediction. The results have confirmed that the LSTM-AE model can achieve better prediction accuracy than the benchmark deep learning methods, in terms of mean absolute error (MAE), mean square error (MSE), mean bias error (MBE), root mean square error (RMSE) and coefficient of determination (R \(^2\) ) performance measures. It can be seen that the proposed model predicts the PV power generation with the R$^2$ of 99.88 \(%\) , 99.98$%$, 99.86$%$, and 99.91$%$ for autumn, winter, spring, and summer, respectively. Furthermore, we conducted experiments using a 23.40 kW PV power plants dataset from DKASC in Australia and the results indicate that our proposed LSTM-AE model with the highest R$^2$ values and minimum forecasting errors compared to the benchmark models can effectively improve stable performance and achieve better accurate photovoltaic power forecasting.
Association of rare, recurrent nonsynonymous variants in the germline of prostate cancer patients of African ancestry
Authors: Xu Jianfeng , Wei Jun , Beebe-Dimmer Jennifer , Shi Zhuqing , Sample Christopher , Yan Guifang , Rifkin Andrew , Sadeghpour Azita , Gielzak Marta , Choi Sodam , Moon David , Zheng S. Lilly , Helfand Brian , Walsh Patrick , Cooney Kathleen , Isaacs William 
Published: September 2022

Abstract
Background: Although men of African ancestry (AA) have the highest mortality rate from prostate cancer (PCa), relatively little is known about the germline variants that are associated with PCa risk in AA men. The goal of this study is to systematically evaluate rare, recurrent nonsynonymous variants across the exome for their association with PCa in AA men.
Methods: Whole exome sequencing (WES) of germline DNA in two AA PCa patient cohorts of Johns Hopkins Hospital (N=960) and Wayne State University (N=747) was performed. All nonsynonymous variants presented in both case cohorts, with a carrier rate between 0.3% and 1%, were identified. Their carrier rates were compared with rates from 8,128 African/African American (AFR) control subjects from The Genome Aggregation Database (gnomAD) using Fisher’s exact test. Significant variants, defined as false discovery rate (FDR) adjusted p-value £0.05, were further evaluated in AA PCa cases (N=132) and controls (N=1,184) from the UK Biobank (UKB).
Results: Two variants reached a pre-specified statistical significance level. The first was p.R14Q in GPRC5C (found in 0.47% of PCa cases and 0.01% of population controls); odds ratio (OR) for PCa was 37.46 (95%CI 4.68-299.72), pexact=7.01E-06, FDR adjusted p-value=0.05. The second was p.R511Q in IGF1R (found in 0.53% of PCa cases and 0.01% of population controls); OR for PCa was 21.54 (95%CI 4.65-99.76), pexact=5.51E-06, FDR adjusted p-value=0.05. The mean percentage of African ancestry was similar between variant carriers and non-carriers of each variant, p>0.05. In the UKB AA men, GPRC5C R14Q was 0.76% and 0.08% in cases and controls, respectively, OR for PCa was 9.00 (95%CI 0.56-145.23), pexact =0.19. However, IGF1R R511Q was not found in cases or controls.
Conclusions: This WES study identified two rare, recurrent nonsynonymous PCa risk-associated variants in AA. Confirmation in additional large populations of AA PCa cases and controls is required.
A Photothermal-Response Oxygen Release Platform Based on Hydrogel for Accelerating Wound Healing
Authors: Jin Lin , Li Chunyang , He Xiaojun , Li Qingfeng , Lv Mingzhi , Shen Jianliang , He Deyan 
Published: September 2022

Abstract
During wound healing, oxygen availability and anti-inflammatory microenvironment play an important role inthe formation of new tissue. However, whether to provide continuous and controllable oxygen around the injured tissue while inhibiting inflammation, and realize the synergistic effect of oxygen supply and anti-inflammation, is still a major problem affecting the regeneration and repair of wound tissue. Inspired by skin wound pathology and theinflammatory microenvironment, a photothermal response-assisted strategy has been developed in this work. We prepared composite hydrogel system of PDA-HA (polydopamine-hyaluronic acid)hydrogel-loaded CaO2-ICG@LA@MnO2(calcium peroxide-indocyanine green@lauric acid@manganese dioxide)nanoparticles, which showed excellent photothermal performanceunder near-infrared (NIR) irradiation, and realized the on-off release of oxygen and reactive oxygen species (ROS). Controlled and sustained oxygen release can promote the regeneration and repair of damaged tissue, and the generated ROS can effectively inhibit the outbreak of inflammation at the initial stage of wound healing. We believethat the system we have obtained can be used as a new approach for treating chronic wound healing.
Defining priorities areas for biodiversity conservation and trading forest certificates in the Cerrado biome in Brazil
Authors: Schwaida Samuel Fernando , Cicerelli Rejane , Almeida Tati , Sano Edson Eyji , Pires Carlos Henrique , Ramos Ana Paula Marques 
Published: September 2022

Abstract
Habitat loss and natural vegetation fragmentation are significant causes of global biodiversity decline, impacting plant and animal species negatively. This issue is worrisome in the private areas of Cerrado in Brazil, which is the second-largest biome, considered a hotspot for biodiversity conservation, and a provider of ecosystem services. Herein, we present a novel integrated approach to define priority areas for biodiversity conservation and environmental compensation in Cerrado, using multicriteria analysis. Our approach combines variables like deforestation projection, integral index of connectivity, threatened species occurrence, and environmental information of rural properties, ranking the importance of remaining native vegetation for biodiversity conservation and forest certificate issuance. Landscape metrics were used to observe and predict land use and land cover changes from 1988 to 2038. We found a loss of native vegetation in the Cerrado superior to 20% between 1988 and 2018, associated with increased of its fragmentation and its connectivity loss, especially after 2008. Natural cover was replaced mostly by pasture and more recently by agriculture Moreover, we determined that is expected a loss of native vegetation of around 55% by 2038 in Cerrado. The proposed approach can predict the consequences of future changes in the landscape of the private areas in the Cerrado biome. It should be replicated in other ecosystems, supporting the decision-making process for biodiversity protection.
Facilitators of HTS uptake among children of parents living with HIV in Nigeria
Authors: Achebe Chiagozie Ebuka , Tiri Henriatta , MERIBE CHIDOZIE , STAFFORD KRISTEN , BLANCO NATALIA , OBASA BENJAMIN , CHARURAT MANHATTAN , GWAMNA JERRY , Swaminathan Mahesh , SCHWITTERS AMEE 
Published: September 2022

Abstract
Background
In 2019, 36% of the 150,000 children less than 15 years of age living with HIV in Nigeria knew their status, and were receiving antiretroviral therapy. Literature on HIV-positive parents getting their children tested for HIV is limited.
Methods
Semi-structured interviews were conducted across six geopolitical zones of Nigeria with 101 eligible people living with HIV who had at least one living biological child <15 years of age at the time of the adult’s diagnosis. Interview questions focused on participants’ perspectives on the facilitators and barriers to uptake of HIV testing services for their biological children. All interview transcripts and researchers’ field notes were analysed using MAXQDA (v.12) (VERBI Software (2016) by theme and content using the framework analysis and analytic induction methodologies for qualitative research.
Results
Facilitators to HTS for children of PLHIV included: PLHIV’s positive status, PLHIV’s partner’s HIV status, and continuous education by health care workers. Reported barriers included the parent’s perception of the child’s health status, family dynamics, and structural and socio-economic challenges.
Conclusion
The right combination of interventions including those that encourage care providers to render services in a way that elicits a demand for services from clients is critical for improving uptake of HTS for children of PLHIV.