bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of diffuse reflectance spectroscopy for predicting age, species, and cuticular resistance of Anopheles gambiae s.l under laboratory conditions
Authors: Pazmiño-Betancourth Mauro , Ochoa-Gutiérrez Victor , Ferguson Heather M. , González-Jiménez Mario , Wynne Klaas , Baldini Francesco , Childs David 
Published: October 2023

AbstractMid-infrared spectroscopy (MIRS) combined with machine learning analysis has shown potential for quick and efficient identification of mosquito species and age groups. However, current technology to collect spectra is destructive to the sample and does not allow targeting specific tissues of the mosquito, limiting the identification of other important biological traits such as insecticide resistance. Here, we assessed the use of a non-destructive approach of MIRS for vector surveillance, micro diffuse reflectance spectroscopy (µDRIFT) using mosquito legs to identify species, age and cuticular insecticide resistance within the Anopheles gambiae s.l. complex. These mosquitoes are the major vectors of malaria in Africa and the focus on surveillance in malaria control programs. Legs required significantly less scanning time and showed more spectral consistence compared to other mosquito tissues. Machine learning models were able to identify An. gambiae and An. coluzzii with an accuracy of 0.73, two ages groups (3 and 10 days old) with 0.77 accuracy and we obtained accuracy of 0.75 when identifying cuticular insecticide resistance. Our results highlight the potential of different mosquito tissues and µDRIFT as tools for biological trait identification on mosquitoes that transmit malaria. These results can guide new ways of identifying mosquito traits which can help the creation of innovative surveillance programs by adapting new technology into mosquito surveillance and control tools.
CYP1A2 expression rather than genotype is associated with olanzapine concentration in psychiatric patients
Authors: Fekete Ferenc , Menus Ádám , Tóth Katalin , Kiss Ádám Ferenc , Minus Annamária , Sirok Dávid , Belič Aleš , Póti Ádám , Csukly Gábor , Monostory Katalin 
Published: October 2023

AbstractOlanzapine is a commonly prescribed atypical antipsychotic agent for treatment of patients with schizophrenia and bipolar disorders. Previous in vitro studies using human liver microsomes identified CYP1A2 and CYP2D6 enzymes being responsible for CYP-mediated metabolism of olanzapine. The present work focused on the impact of CYP1A2 and CYP2D6 genetic polymorphisms as well as of CYP1A2 metabolizing capacity influenced by non-genetic factors (sex, age, smoking) on olanzapine blood concentration in patients with psychiatric disorders (N = 139). CYP2D6 genotype-based phenotype appeared to have negligible contribution to olanzapine metabolism, whereas a dominant role of CYP1A2 in olanzapine exposure was confirmed. However, CYP1A2 expression rather than CYP1A2 genetic variability was demonstrated to be associated with olanzapine concentration in patients. Significant contribution of − 163C > A (rs762551), the most common SNP (single nucleotide polymorphism) in CYP1A2 gene, to enhanced inducibility was confirmed by an increase in CYP1A2 mRNA expression in smokers carrying − 163A, and smoking was found to have appreciable impact on olanzapine concentration normalized by the dose/bodyweight. Furthermore, patients’ olanzapine exposure was in strong association with CYP1A2 expression; therefore, assaying CYP1A2 mRNA level in leukocytes can be an appropriate tool for the estimation of patients’ olanzapine metabolizing capacity and may be relevant in optimizing olanzapine dosage.
A novel neural-evolutionary framework for predicting weight on the bit in drilling operations
Authors: Dowlatabadi Masrour , Azizi Saeed , Dehbashi Mohsen , Sadeqi Hamed 
Published: October 2023

AbstractThis study compares the performance of artificial neural networks (ANN) trained by grey wolf optimization (GWO), biogeography-based optimization (BBO), and Levenberg–Marquardt (LM) to estimate the weight on bit (WOB). To this end, a dataset consisting of drilling depth, drill string rotational speed, rate of penetration, and volumetric flow rate as input variables and the WOB as a response is used to develop and validate the intelligent tools. The relevance test is applied to sort the strength of WOB dependency on the considered features. It was observed that the WOB has the highest linear correlation with the drilling depth and drill string rotational speed. After dividing the databank into the training and testing (4:1) parts, the proposed LM-ANN, GWO-ANN, and BBO-ANN ensembles are constructed. A sensitivity analysis is then carried out to find the most powerful structure of the models. Each model performs to reveal the relationship between the WOB and the mentioned independent factors. The performance of the models is finally evaluated by mean square error (MSE) and mean absolute error criteria. The results showed that both GWO and BBO algorithms effectively help the ANN to achieve a more accurate prediction of the WOB. Accordingly, the training MSEs decreased by 14.62% and 24.90%, respectively, by applying the GWO and BBO evolutionary algorithms. Meanwhile, these values were obtained as around 9.86% and 9.41% for the prediction error of the ANN in the testing phase. It was also deduced that the BBO performs more efficiently than the other technique. The effect of input variables dimension on the accuracy and training time of the BBO-ANN clarified that the most accurate WOB predictions are achieved when the model constructs with all four input variables instead of utilizing either three or two of them with the highest linear correlation. It was also observed that the training stage of the BBO-ANN model with four input variables needs a little more computational time than its training with either two or three variables. Finally, the accuracy of the BBO-ANN model for the WOB prediction has been compared with the multiple linear regression, support vector regression, adaptive neuro-fuzzy inference systems, and group method of data handling. The statistical accuracy analysis confirmed that the BBO-ANN is more accurate than the other checked techniques.
Recombinant immunotoxin induces tumor intrinsic STING signaling against head and neck squamous cell carcinoma
Authors: Xie Guiqin , Shan Liang , Yang Cuicui , Liu Yuanyi , Pang Xiaowu , Teng Shaolei , Wu Tzyy-Choou , Gu Xinbin 
Published: October 2023

AbstractThe innate immune stimulator of interferon genes (STING) pathway is known to activate type I interferons (IFN-I) and participate in generating antitumor immunity. We previously produced hDT806, a recombinant diphtheria immunotoxin, and demonstrated its efficacy against head and neck squamous cell carcinoma (HNSCC). However, it’s unknown whether the tumor-intrinsic STING plays a role in the anti-HNSCC effects of hDT806. In this study, we investigated the innate immune modulation of hDT806 on HNSCC. hDT806 significantly upregulated the level of STING and the ratio of p-TBK1/TBK1 in the HNSCC cells. Moreover, intratumoral hDT806 treatment increased the expression of STING-IFN-I signaling proteins including IFNA1, IFNB, CXCL10 and MX1, a marker of IFN-I receptor activity, in the HNSCC xenografts. Overexpression of STING mimicked the hDT806-induced upregulation of the STING-IFN-I signaling and induced apoptosis in the HNSCC cells. In the mouse xenograft models of HNSCC with STING overexpression, we observed a significant suppression of tumor growth and reduced tumor weight with increased apoptosis compared to their control xenograft counterparts without STING overexpression. Collectively, our data revealed that hDT806 may act as a stimulator of tumor-intrinsic STING-IFN-I signaling to inhibit tumor growth in HNSCC.
Comparison of efficacy between laparoscopic pectopexy and laparoscopic high uterosacral ligament suspension in the treatment of apical prolapse-short term results
Authors: Peng Juan , Li Shuqing , Wang Luwen , Yang Li , Nai Manman , Xu Qingqing , Jin Yuxi , Liu Peng , Li Lei 
Published: October 2023

AbstractTo compare the clinical efficacy of laparoscopic pectopexy and laparoscopic high uterosacral ligament suspension in women suffering from apical prolapse. The clinical data of 170 patients with apical prolapse (POP-Q score ≥ II) treated in the Third Affiliated Hospital of Zhengzhou University from January 2018 to July 2020 were retrospectively analyzed to assess the clinical efficacy of three surgical methods [laparoscopic pectopexy with uterine preservation, laparoscopic pectopexy with hysterectomy, laparoscopic high uterosacral ligament suspension (LHUSLS) with hysterectomy]. Patients were divided into three groups depending on Surgical methods: laparoscopic uterine pectopexy group (n = 23), laparoscopic pectopexy with hysterectomy group (n = 78) and LHUSLS with hysterectomy group (n = 69). The POP-Q points before and after operation were analyzed. The operation-related indices, perioperative periods and post-operative complications were compared. 1. The operation time of laparoscopic uterine pectopexy group was the shortest (p < 0.05). There was no significant difference in the incidence of apical prolapse and new stress urinary incontinence among the three groups during the follow-up period (p > 0.05). 2. The POP-Q points (Aa, Ba, C) in the three groups were better than those before operation (p < 0.05). Laparoscopic pectopexy with hysterectomy group had better Ap, Bp and C points and a longer TVL than LHUSLS with hysterectomy group (p < 0.05). 3. The postoperative PFDI-20, PFIQ-7 and PISQ-12 scores of the three groups were significantly improved than those before operation (p < 0.05). The PISQ-12 scores in laparoscopic uterine pectopexy group were significantly higher than that in the other two groups one year after operation (p < 0.05). The study concludes that laparoscopic pectopexy and LHUSLS can significantly improve the quality of life and sexual function for patients with apical prolapse. One year after operation, laparoscopic pectopexy has a more satisfactory anatomical reduction than LHUSLS with hysterectomy. The laparoscopic uterine pectopexy group had lower postoperative complications and better sexual function than that with hysterectomy group. Laparoscopic pectopexy should be used for the treatment of apical prolapse (POP-Q score ≥ II) patients who aim to better clinical efficacy and sexual function improvement.
Reduced-cost microwave modeling using constrained domains and dimensionality reduction
Authors: Koziel Slawomir , Pietrenko-Dabrowska Anna , Ullah Ubaid 
Published: October 2023

AbstractDevelopment of modern microwave devices largely exploits full-wave electromagnetic (EM) simulations. Yet, simulation-driven design may be problematic due to the incurred CPU expenses. Addressing the high-cost issues stimulated the development of surrogate modeling methods. Among them, data-driven techniques seem to be the most widespread owing to their flexibility and accessibility. Nonetheless, applicability of approximation-based modeling for real-world microwave components is hindered by a high nonlinearity of the system characteristics, dimensionality issues, and broad ranges of operating parameters the model should cover to make it practically useful. Performance-driven modeling frameworks deliver a partial mitigation of these problems through appropriate spatial orientation of the metamodel domain, which only encapsulates high-quality designs and not the entire space. Unfortunately, the initial model setup cost is high, as defining the domain requires database designs that need to be a priori acquired. This paper introduces a novel approach, where the database designs are replaced by random observables, and dimensionality of the domain is reduced using spectral analysis thereof. The major contributions of the work include implementation of the explicit dimensionality reduction of the confined surrogate model domain and introducing this concept into a complete cost-efficient framework for modeling of microwave components. Comprehensive benchmarking demonstrates excellent performance of the introduced framework, both in terms of predictive power of the rendered surrogates, their scalability properties, as well as low computational overhead associated with the model setup.
Study of all-group-IV SiGeSn mid-IR lasers with dual wavelength emission
Authors: Abernathy Grey , Ojo Solomon , Said Abdulla , Grant Joshua M. , Zhou Yiyin , Stanchu Hryhorii , Du Wei , Li Baohua , Yu Shui-Qing 
Published: October 2023

AbstractDirect band gap GeSn alloys have recently emerged as promising lasing source materials for monolithic integration on Si substrate. In this work, optically pumped mid-infrared GeSn lasers were studied with the observation of dual-wavelength lasing at 2187 nm and 2460 nm. Two simultaneous lasing regions include a GeSn buffer layer (bulk) and a SiGeSn/GeSn multiple quantum well structure that were grown seamlessly using a chemical vapor deposition reactor. The onset of dual lasing occurs at 420 kW/cm2. The wider bandgap SiGeSn partitioning barrier enables the independent operation of two gain regions. While the better performance device in terms of lower threshold may be obtained by using two MQW regions design, the preliminary results and discussions in this work paves a way towards all-group-IV dual wavelength lasers monolithically integrated on Si substrate.
Exogenous preculture with sucrose and abscisic acid improves post-cryopreservation survival of eastern bracken fern gametophytes
Authors: Jang Bo-Kook , Oh Sewon , Kim Daeil , Cho Ju-Sung , Lee Cheol Hee 
Published: October 2023

AbstractCryopreservation is an important technique used in the conservation of various plant tissues. This study proposes a cryopreservation method for the long-term conservation of eastern bracken fern gametophytes (Pteridium aquilinum var. latiusculum). Encapsulation–dehydration of the gametophytes was performed, and the exogenous sucrose and abscisic acid (ABA) preculture conditions were investigated. Gametophytes are sensitive to dehydration and drying, and the following treatment conditions were applied: encapsulation by alginate containing 0.75 M sucrose, 18-h loading treatment with 0.75 M sucrose, and 6-h drying treatment. The survival rate following cryopreservation was determined. The water content of < 27.5% in the alginate beads after dehydration and drying was found to be appropriate for ensuring survival. Additionally, performing an exogenous sucrose and ABA preculture was essential before encapsulation to achieve a survival of ≥ 90%. The high stress induced by cryopreservation and exogenous preculture regulated the expression of PaSuSy, PaLEA14, and PaABI1b and the endogenous ABA content. In eastern bracken gametophytes, ABI1 appears to be a negative regulator of ABA signaling. These results indicate that the encapsulation–dehydration method is effective for the long-term conservation of eastern bracken fern gametophytes, and exogenous preculture alleviates abiotic stress and increases the survival rate.
Multi-skill resource-constrained multi-modal project scheduling problem based on hybrid quantum algorithm
Authors: Peng Jun Long , Liu Xiao , Peng Chao , Shao Yu 
Published: October 2023

AbstractNumerous studies on project scheduling only consider a single factor, which fails to reflect the actual environment of project operations. In light of this issue, the article synthesizes multiple perspectives and proposes a multi-skill resource-based multi-modal project scheduling problem (MRCMPSP). This problem is described, modeled, and solved using the resource capability matrix and other constraints to minimize the project duration. To effectively solve MRCMPSP and enrich scheduling algorithms, the paper selects the hybrid quantum algorithm (HQPSO) based on the quantum particle swarm algorithm (QPSO). The HQPSO introduces various improvements such as the JAYA optimization search to improve the algorithm's performance. In order to verify the generality, superiority, and effectiveness of the algorithm, independent operation comparison experiments and practical application experiments of the algorithm are designed based on different case sizes and resource quantities. The experimental results demonstrate that the proposed algorithm has superior convergence performance and solution accuracy and can provide an effective scheduling solution for real cases. Additionally, the article provides targeted management suggestions based on the research findings. Overall, this study contributes a novel mathematical model, solution algorithm, optimization strategies, and managerial insights, advancing the field of project management research.
Association between anemia and grip strength indices combined with anthropometry in the Korean population
Authors: Lee Bum Ju , Chi Jeong Hee 
Published: October 2023

AbstractAnemia is common in older people and is associated with low hand grip strength (HGS). However, there is no study of the association of anemia with both absolute and various relative HGS indices. Therefore, the objectives of this study are to examine the association of anemia with absolute and relative HGS indices and to evaluate whether the relative HGS indices are useful as risk indices of anemia. In this large-scale cross-sectional study, we analyzed the association of anemia with anthropometric indices, absolute HGS indices, and relative HGS indices using both crude and adjusted binary logistic regression models. A total of 24,022 participants were included in the final analysis. Anemia was defined as a blood hemoglobin concentration of less than 13.0 g/dL for men, less than 11.0 g/dL for pregnant women, and less than 12.0 g/dL for nonpregnant women. We considered covariates such as residential area, marital status, education level, occupation, household income, alcohol consumption, smoking status, muscular exercise, walking exercise, blood pressure, and age for men, while for women, we also included menopause. The mean ages of the subjects in this study were 51.89 ± 0.19 years in the nonanemic group and 66.56 ± 0.61 in the anemic group in men and 52.55 ± 0.19 in the nonanemic group and 51.85 ± 0.44 in the anemic group in women. The number of anemic patients was 570 (5.5%) in men and 1638 (12%) in women. The mean HGS value in the dominant hand was 38.97 ± 0.11 in the nonanemic group and 30.84 ± 0.38 in the anemic group in men and 22.64 ± 0.07 in the nonanemic group and 21.85 ± 0.16 in the anemic group in women. Age was highly associated with anemia in men but not in women. Absolute HGS indices, such as the dominant HGS index and both HGS indices, were negatively associated with anemia in both sexes in all crude and adjusted models. All relative HGS indices were associated with anemia in men, but in women, only dominant HGS divided by height and both HGS divided by height were related to anemia status in all models. The associations between anemia and absolute and relative HGS indices were significantly high in men, while in women, these associations were of moderate strength. Anemia was negatively associated with HGS in the Korean population. The strengths of the associations of anemia with the absolute and relative HGS indices showing the highest association with anemia were similar. Therefore, there is no need to use relative HGS indices as risk factors for anemia, and absolute HGS indices, as easily obtained and cost-effective measurement, are suitable.
Diagnostic accuracy of point-of-care ultrasound with artificial intelligence-assisted assessment of left ventricular ejection fraction
Authors: Motazedian Pouya , Marbach Jeffrey A. , Prosperi-Porta Graeme , Parlow Simon , Di Santo Pietro , Abdel-Razek Omar , Jung Richard , Bradford William B. , Tsang Miranda , Hyon Michael , Pacifici Stefano , Mohanty Sharanya , Ramirez F. Daniel , Huggins Gordon S. , Simard Trevor , Hon Stephanie , Hibbert Benjamin 
Published: October 2023

AbstractFocused cardiac ultrasound (FoCUS) is becoming standard practice in a wide spectrum of clinical settings. There is limited data evaluating the real-world use of FoCUS with artificial intelligence (AI). Our objective was to determine the accuracy of FoCUS AI-assisted left ventricular ejection fraction (LVEF) assessment and compare its accuracy between novice and experienced users. In this prospective, multicentre study, participants requiring a transthoracic echocardiogram (TTE) were recruited to have a FoCUS done by a novice or experienced user. The AI-assisted device calculated LVEF at the bedside, which was subsequently compared to TTE. 449 participants were enrolled with 424 studies included in the final analysis. The overall intraclass coefficient was 0.904, and 0.921 in the novice (n = 208) and 0.845 in the experienced (n = 216) cohorts. There was a significant bias of 0.73% towards TTE (p = 0.005) with a level of agreement of 11.2%. Categorical grading of LVEF severity had excellent agreement to TTE (weighted kappa = 0.83). The area under the curve (AUC) was 0.98 for identifying an abnormal LVEF (<50%) with a sensitivity of 92.8%, specificity of 92.3%, negative predictive value (NPV) of 0.97 and a positive predictive value (PPV) of 0.83. In identifying severe dysfunction (<30%) the AUC was 0.99 with a sensitivity of 78.1%, specificity of 98.0%, NPV of 0.98 and PPV of 0.76. Here we report that FoCUS AI-assisted LVEF assessments provide highly reproducible LVEF estimations in comparison to formal TTE. This finding was consistent among senior and novice echocardiographers suggesting applicability in a variety of clinical settings.
Quasi-alternating copolymerization of oxiranes driven by a benign acetate-based catalyst
Authors: Fornaciari Charlotte , Lemaur Vincent , Pasini Dario , Coulembier Olivier 
Published: October 2023

AbstractAlternating copolymers are distinctly unique in comparison with other copolymers. Herein, an in-depth investigation of the oxyanionic ring-opening copolymerization of propylene oxide (PO) and allyl glycidyl ether (AGE) from benzyl alcohol (BnOH) activated with potassium acetate (KOAc) complexed by 18-crown-6 ether (18C6) is described. We demonstrate that the 18C6/KOAc complex is an efficient and benign catalytic system to promote copolymerization of both oxirane monomers, leading to well-defined polyethers with varied comonomer content and low dispersity values (ƉM < 1.20). Kinetic analysis confirmed the controlled nature of the (co)polymerization process, and the determination of reactivity ratios revealed a quasi-alternating copolymerization profile, according to the Fineman-Ross method. The comparison between the quasi-alternating-type PO/AGE copolymerization and block or gradient copolymerization revealed significant differences, to confirm the different sequence incorporation in the different topological copolymers. These results highlight the great potential of 18C6/KOAc-mediated copolymerization process for the controlled sythesis of a series of copolymer topologies.