bluuebunny/crossref_metadata_2025_split huggingface dataset:
ECLAPTE: Effective Closure of LAParoTomy in Emergency—2023 World Society of Emergency Surgery guidelines for the closure of laparotomy in emergency settings
Authors: Frassini Simone , Cobianchi Lorenzo , Fugazzola Paola , Biffl Walter L. , Coccolini Federico , Damaskos Dimitrios , Moore Ernest E. , Kluger Yoram , Ceresoli Marco , Coimbra Raul , Davies Justin , Kirkpatrick Andrew , Di Carlo Isidoro , Hardcastle Timothy C. , Isik Arda , Chiarugi Massimo , Gurusamy Kurinchi , Maier Ronald V. , Segovia Lohse Helmut A. , Jeekel Hans , Boermeester Marja A. , Abu-Zidan Fikri , Inaba Kenji , Weber Dieter G. , Augustin Goran , Bonavina Luigi , Velmahos George , Sartelli Massimo , Di Saverio Salomone , Ten Broek Richard P. G. , Granieri Stefano , Dal Mas Francesca , Farè Camilla Nikita , Peverada Jacopo , Zanghì Simone , Viganò Jacopo , Tomasoni Matteo , Dominioni Tommaso , Cicuttin Enrico , Hecker Andreas , Tebala Giovanni D. , Galante Joseph M. , Wani Imtiaz , Khokha Vladimir , Sugrue Michael , Scalea Thomas M. , Tan Edward , Malangoni Mark A. , Pararas Nikolaos , Podda Mauro , De Simone Belinda , Ivatury Rao , Cui Yunfeng , Kashuk Jeffry , Peitzman Andrew , Kim Fernando , Pikoulis Emmanouil , Sganga Gabriele , Chiara Osvaldo , Kelly Michael D. , Marzi Ingo , Picetti Edoardo , Agnoletti Vanni , De’Angelis Nicola , Campanelli Giampiero , de Moya Marc , Litvin Andrey , Martínez-Pérez Aleix , Sall Ibrahima , Rizoli Sandro , Tomadze Gia , Sakakushev Boris , Stahel Philip F. , Civil Ian , Shelat Vishal , Costa David , Chichom-Mefire Alain , Latifi Rifat , Chirica Mircea , Amico Francesco , Pardhan Amyn , Seenarain Vidya , Boyapati Nikitha , Hatz Basil , Ackermann Travis , Abeyasundara Sandun , Fenton Linda , Plani Frank , Sarvepalli Rohit , Rouhbakhshfar Omid , Caleo Pamela , Ho-Ching Yau Victor , Clement Kristenne , Christou Erasmia , Castillo Ana María González , Gosal Preet K. S. , Balasubramaniam Sunder , Hsu Jeremy , Banphawatanarak Kamon , Pisano Michele , Adriana Toro , Michele Altomare , Cioffi Stefano P. B. , Spota Andrea , Catena Fausto , Ansaloni Luca 
Published: July 2023

AbstractLaparotomy incisions provide easy and rapid access to the peritoneal cavity in case of emergency surgery. Incisional hernia (IH) is a late manifestation of the failure of abdominal wall closure and represents frequent complication of any abdominal incision: IHs can cause pain and discomfort to the patients but also clinical serious sequelae like bowel obstruction, incarceration, strangulation, and necessity of reoperation. Previous guidelines and indications in the literature consider elective settings and evidence about laparotomy closure in emergency settings is lacking. This paper aims to present the World Society of Emergency Surgery (WSES) project called ECLAPTE (Effective Closure of LAParoTomy in Emergency): the final manuscript includes guidelines on the closure of emergency laparotomy.
Neutrophils in triple-negative breast cancer: an underestimated player with increasingly recognized importance
Authors: Zheng Chanjuan , Xu Xi , Wu Muyao , Xue Lian , Zhu Jianyu , Xia Hongzhuo , Ding Siyu , Fu Shujun , Wang Xinyu , Wang Yian , He Guangchun , Liu Xia , Deng Xiyun 
Published: July 2023

AbstractTriple-negative breast cancer (TNBC) is the most lethal subtype of breast cancer, with limited therapeutic options readily available. Immunotherapy such as immune checkpoint inhibition has been investigated in TNBC but still encounters low overall response. Neutrophils, the most abundant leukocytes in the body, are increasingly recognized as an active cancer-modulating entity. In the bloodstream, neutrophils escort circulating tumor cells to promote their survival and stimulate their proliferation and metastasis. In the tumor microenvironment, neutrophils modulate the immune milieu through polarization between the anti-tumor and the pro-tumor phenotypes. Through a comprehensive review of recently published literature, it is evident that neutrophils are an important player in TNBC immunobiology and can be used as an important prognostic marker of TNBC. Particularly, in their pro-tumor form, neutrophils facilitate TNBC metastasis through formation of neutrophil extracellular traps and the pre-metastatic niche. These findings will help advance the potential utilization of neutrophils as a therapeutic target in TNBC.
Risk factors for gut colonization with vancomycin-resistant enterococci among Bulgarian critically ill patients
Authors: Hristova Preslava M. , Marinova-Bulgaranova Teodora V. , Strateva Tanya V. , Trifonov Stefan V. , Hitkova Hristina Y. 
Published: July 2023

AbstractVancomycin-resistant enterococci (VRЕ) are recognized as important hospital pathogens which have become common in patients admitted to the intensive care units (ICUs). The purpose of this study was to evaluate the incidence of and the risk factors for colonization with VRE among ICU patients. A total of 91 patients who had duration of hospitalization more than 48 h and without infection caused by VRE or/and other microorganisms in the ICU at University Hospital, Pleven were screened for colonization with VRE. The following data were collected: demographic characteristics, clinical information and antimicrobials use. The statistical analysis was performed using SPSS version 27.0. Colonization with VRE was established in 22 patients and one was carrying two enterococcal species. A total of 23 VRE were isolated. The univariate analysis showed that the postoperative critical cares (p < 0.001), cardiovascular diseases (p = 0.009) and the presence of an endotracheal tube (p = 0.003) were risk factors for colonization with VRE. Also, the postoperative critical cares (p = 0.021) and cardiovascular diseases (p = 0.018) were confirmed as independent risk factor for VRE acquisition by multivariate analysis. The prevalence of VRE colonization among the ICU patients was relatively high (24.2%). Risk factors for acquisition of intestinal VRE were the postoperative cares, cardiovascular diseases and the presence of an endotracheal tube.
Radiomics predictive modeling from dual-time-point FDG PET Ki parametric maps: application to chemotherapy response in lymphoma
Authors: Samimi Rezvan , Shiri Isaac , Ahmadyar Yashar , van den Hoff Jörg , Kamali-Asl Alireza , Rezaee Alireza , Yousefirizi Fereshteh , Geramifar Parham , Rahmim Arman 
Published: July 2023

Abstract
Background
To investigate the use of dynamic radiomics features derived from dual-time-point (DTP-feature) [18F]FDG PET metabolic uptake rate Ki parametric maps to develop a predictive model for response to chemotherapy in lymphoma patients.

Methods
We analyzed 126 lesions from 45 lymphoma patients (responding n = 75 and non-responding n = 51) treated with chemotherapy from two different centers. Static and DTP radiomics features were extracted from baseline static PET images and DTP Ki parametric maps. Spearman’s rank correlations were calculated between static and DTP features to identify features with potential additional information. We first employed univariate analysis to determine correlations between individual features, and subsequently utilized multivariate analysis to derive predictive models utilizing DTP and static radiomics features before and after ComBat harmonization. For multivariate modeling, we utilized both the minimum redundancy maximum relevance feature selection technique and the XGBoost classifier. To evaluate our model, we partitioned the patient datasets into training/validation and testing sets using an 80/20% split. Different metrics for classification including area under the curve (AUC), sensitivity (SEN), specificity (SPE), and accuracy (ACC) were reported in test sets.

Results
Via Spearman’s rank correlations, there was negligible to moderate correlation between 32 out of 65 DTP features and some static features (ρ < 0.7); all the other 33 features showed high correlations (ρ ≥ 0.7). In univariate modeling, no significant difference between AUC of DTP and static features was observed. GLRLM_RLNU from static features demonstrated a strong correlation (AUC = 0.75, p value = 0.0001, q value = 0.0007) with therapy response. The most predictive DTP features were GLCM_Energy, GLCM_Entropy, and Uniformity, each with AUC = 0.73, p value = 0.0001, and q value < 0.0005. In multivariate analysis, the mean ranges of AUCs increased following harmonization. Use of harmonization plus combining DTP and static features was shown to provide significantly improved predictions (AUC = 0.97 ± 0.02, accuracy = 0.89 ± 0.05, sensitivity = 0.92 ± 0.09, and specificity = 0.88 ± 0.05). All models depicted significant performance in terms of AUC, ACC, SEN, and SPE (p < 0.05, Mann–Whitney test).

Conclusions
Our results demonstrate significant value in harmonization of radiomics features as well as combining DTP and static radiomics models for predicting response to chemotherapy in lymphoma patients.
Isolation of a bacteriophage targeting Pseudomonas aeruginosa and exhibits a promising in vivo efficacy
Authors: Abdelghafar Aliaa , El-Ganiny Amira , Shaker Ghada , Askoura Momen 
Published: July 2023

AbstractPseudomonas aeruginosa is an important pathogen that causes serious infections. Bacterial biofilms are highly resistant and render bacterial treatment very difficult, therefore necessitates alternative antibacterial strategies. Phage therapy has been recently regarded as a potential therapeutic option for treatment of bacterial infections. In the current study, a novel podovirus vB_PaeP_PS28 has been isolated from sewage with higher lytic activity against P. aeruginosa. Isolated phage exhibits a short latent period, large burst size and higher stability over a wide range of temperatures and pH. The genome of vB_PaeP_PS28 consists of 72,283 bp circular double-stranded DNA, with G + C content of 54.75%. The phage genome contains 94 open reading frames (ORFs); 32 for known functional proteins and 62 for hypothetical proteins and no tRNA genes. The phage vB_PaeP_PS28 effectively inhibited the growth of P. aeruginosa planktonic cells and displayed a higher biofilm degrading capability. Moreover, therapeutic efficacy of isolated phage was evaluated in vivo using mice infection model. Interestingly, survival of mice infected with P. aeruginosa was significantly enhanced upon treatment with vB_PaeP_PS28. Furthermore, the bacterial load in liver and kidney isolated from mice infected with P. aeruginosa and treated with phage markedly decreased as compared with phage-untreated P. aeruginosa-infected mice. These findings support the efficacy of isolated phage vB_PaeP_PS28 in reducing P. aeruginosa colonization and pathogenesis in host. Importantly, the isolated phage vB_PaeP_PS28 could be applied alone or as combination therapy with other lytic phages as phage cocktail therapy or with antibiotics to limit infections caused by P. aeruginosa.
RETRACTED ARTICLE: An abnormal traffic detection method using GCN-BiLSTM-Attention in the internet of vehicles environment
Authors: Wang Xueli , Wang Qin 
Published: July 2023

AbstractIn-vehicle network intrusion detection tasks, it is usually necessary to simultaneously meet the requirements of low computational power consumption, real-time response, and high detection accuracy. In response to the class imbalance problem in existing vehicle network anomaly flow detection methods, which leads to longer training convergence time and low detection accuracy, an anomaly flow detection method using GCN-BiLSTM-Attention is proposed. Firstly, Graph Convolutional Networks (GCN) is used to obtain spatial correlations between data streams. Secondly, obtaining the time correlation to predict the next time slice flow matrix by capitalizing the variant Bidirectional Long Short-Term Memory (BiLSTM) network. Last but not least, an attention mechanism is designed for extracting key information from the data stream. The results of experiment prove that the binary classification false positive rate, detection rate, and F1 value of the proposed GCN-BiLSTM-Attention-based anomaly flow detection method on the NSL-KDD dataset are 95.87%, 6.31%, and 94.25%, respectively; The false positive rate, detection rate, and F1 value on the CICID2017 dataset are 6.01%, 94.12%,and 94.36%, respectively. The proposed GCN-BiLSTM-Attention model has exceeded the compared methods in detecting abnormal traffic in the context of the Internet of Vehicles, and it can better preserve local features of traffic data.
Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy
Authors: Ferres Juan Lavista , Nasir Md , Bijral Avleen , Subramanian S V , Weeks William B 
Published: July 2023

Abstract
Background
In 1991, Halpern and Coren claimed that left-handed people die nine years younger than right-handed people. Most subsequent studies did not find support for the difference in age of death or its magnitude, primarily because of the realization that there have been historical changes in reported rates of left-handedness.

Methods
We created a model that allowed us to determine whether the historical change in left-handedness explains the original finding of a nine-year difference in life expectancy. We calculated all deaths in the United States by birth year, gender, and handedness for 1989 (the Halpern and Coren study was based on data from that year) and contrasted those findings with the modeled age of death by reported and counterfactual estimated handedness for each birth year, 1900–1989.

Results
In 1989, 2,019,512 individuals died, of which 6.4% were reportedly left-handed based on concurrent annual handedness reporting. However, it is widely believed that cultural pressures may have caused an underestimation of the true rate of left-handedness. Using a simulation that assumed no age of death difference between left-handed and right-handed individuals in this cohort and adjusting for the reported rates of left-handedness, we found that left-handed individuals were expected to die 9.3 years earlier than their right-handed counterparts due to changes in the rate of left-handedness over time. This difference of 9.3 years was not found to be statistically significant compared to the 8.97 years reported by Halpern and Coren. When we assumed no change in the rate of left-handedness over time, the survival advantage for right-handed individuals was reduced to 0.02 years, solely driven by not controlling for gender. When we considered the estimated age of death for each birth cohort, we found a mean difference of 0.43 years between left-handed and right-handed individuals, also driven by handedness difference by gender.

Conclusion
We found that the changing rate of left-handedness reporting over the years entirely explains the originally reported observation of nine-year difference in life expectancy. In epidemiology, new information on past reporting biases could warrant re-exploration of initial findings. The simulation modeling approach that we use here might facilitate such analyses.
Assessment of iridoid profiles in the growth period of aerial parts of Pseudolysimachion rotundum var. subintegrum and their antioxidant and MUC5AC inhibitory potential
Authors: Song Soobin , Kim Doo-Young , Oh Seon Min , Woo So-Yeun , Kim Il-joo , Kim Mun-Ock , Park Ji-Yoon , Kim Namho , Kim Hae-Young , Lee Juhee , Kim Sang Yoon , Hwang Bang Yeon , Ryu Hyung Won , Oh Sei-Ryang 
Published: July 2023

AbstractYPL-001 is a drug substance of Pseudolysimachion rotundum var. subintegrum and has been reported to be a potent COPD inhibitor. For the first time, this study demonstrated a correlation among the iridoid constituents, antioxidants, and MUC5AC inhibition activities in P. rotundum during different growth stages (5 to 11 weeks). Single-factor extraction was used to optimize the plant extraction conditions to maximize the major iridoid constituents (70% ethanol, 40 °C, 1 h); isolated metabolites 1–6 were identified using nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS). The contents of each metabolite and antioxidant/MUC5AC inhibition effects were markedly changed according to the growth stages, especially for catalposide (2, 5.97 → 10.99 mg/g, 1.8-fold) and isovanillyl catapol (5, 4.42 → 20.00 mg/g, 4.5-fold), which were the predominant substances in August. Our results indicated that YPL-001 could potentially contribute to enhancing the P. rotundum value in accumulated iridoids at the growth stage and the biological effect aspects to develop industrial medicinal crops.
Clinical evidence of human pathogens implicated in Alzheimer’s disease pathology and the therapeutic efficacy of antimicrobials: an overview
Authors: Catumbela Celso S. G. , Giridharan Vijayasree V. , Barichello Tatiana , Morales Rodrigo 
Published: July 2023

AbstractA wealth of pre-clinical reports and data derived from human subjects and brain autopsies suggest that microbial infections are relevant to Alzheimer’s disease (AD). This has inspired the hypothesis that microbial infections increase the risk or even trigger the onset of AD. Multiple models have been developed to explain the increase in pathogenic microbes in AD patients. Although this hypothesis is well accepted in the field, it is not yet clear whether microbial neuroinvasion is a cause of AD or a consequence of the pathological changes experienced by the demented brain. Along the same line, the gut microbiome has also been proposed as a modulator of AD. In this review, we focus on human-based evidence demonstrating the elevated abundance of microbes and microbe-derived molecules in AD hosts as well as their interactions with AD hallmarks. Further, the direct-purpose and potential off-target effects underpinning the efficacy of anti-microbial treatments in AD are also addressed.
Early-life prophylactic antibiotic treatment disturbs the stability of the gut microbiota and increases susceptibility to H9N2 AIV in chicks
Authors: Liang Xianghui , Zhang Zhipeng , Wang Hai , Lu Xingbang , Li Wen , Lu Haoran , Roy Ayan , Shen Xuejuan , Irwin David M. , Shen Yongyi 
Published: July 2023

Abstract
Background
Antibiotics are widely used for prophylactic therapy and for improving the growth performance of chicken. The problem of bacterial drug resistance caused by antibiotic abuse has previously attracted extensive attention; however, the influence of early-day use of prophylactic antibiotics on the gut microflora and on the disease resistance ability in chicks has not been explored. Here, we comprehensively evaluate the growth performance, gut microbial dynamics, level of antibiotic resistance genes (ARGs) in the gut microbial community, and resistance to H9N2 avian influenza virus (AIV) in chickens following long-term and short-term early-day prophylactic antibiotic treatment.

Results
Unexpectedly, long-term prophylactic enrofloxacin treatment slowed the growth rate of chickens, whereas short-term antibiotics treatments were found to increase the growth rate, but these changes were not statistically significant. Strikingly, expansions of Escherichia-Shigella populations were observed in early-life prophylactic antibiotics-treated groups of chickens, which is in contrast to the general perception that antibiotics should control their pathogenicity in chicks. The gut microbiota composition of chickens treated long term with antibiotics or received early-day antibiotics treatment tend to be more dramatically disturbed compared to the gut microbiome of chickens treated with antibiotics for a short term at a later date, especially after H9N2 AIV infection.

Conclusions
Our data provide evidence that early-day and long-term antibiotic treatments have a more adverse effect on the intestinal microbiome of chickens, compared to short-term late age antibiotic treatment. Furthermore, our metagenomic data reveal that both long-term and short-term antibiotic treatment increase the relative abundance of ARGs. Our findings highlight the adverse effects of prophylactic antibiotic treatment and provide a theoretical basis for the cautious administration of antibiotics in food-producing animal management.
Compatible interface wave–structure interaction model for combining mesh-free particle and finite element methods
Authors: Mitsume Naoto 
Published: July 2023

AbstractThis study presents a novel wave–structure interaction model, which is a compatible interface wave–structure interaction model that is based on mesh-free particle methods for free-surface flow analysis; the FEM for structural analysis. We adopt the explicitly represented polygon (ERP) wall boundary model, which is a polygon wall boundary model for mesh-free particle methods, to express the fluid–structure interfaces. The fluid–structure interfaces in the proposed model are geometrically compatible because the ERP model has advantages in dealing with complex-shaped and moving boundaries and it enables the direct use of surface meshes and shape functions given by finite element models of structures. This allows the automatic generation of polygons for free-surface flow analysis from finite elements, and therefore, it greatly increases the flexibility of the analysis. Based on the compatible interface between the polygons and finite elements, we propose a strong coupling algorithm based on an iterative partitioned scheme that defines the interacting models between the fluid and the structure. We model the force exerted by fluid particles on structures such that the kinetic boundary condition on the fluid–structure interface is satisfied. We perform the verification and validation tests of the proposed model by solving two benchmark problems.