bluuebunny/crossref_metadata_2025_split huggingface dataset:
The association of preoperative hematologic parameters with short‐term clinical outcomes in rectal cancer: A feature importance analysis
Authors: Orafaie Ala , Shahabi Fatemeh , Mehri Ali , Ansari Majid , Kasraeifar Sajjad , Ghiyasi Mahdie , Saberi‐Karimian Maryam , Abdollahi Abbas , Tabatabaei Seyyed Mohammad 
Published: May 2024

AbstractBackgroundVarious hematologic parameters have been proposed as prognostic factors in rectal cancer management, but data are conflicting and unclear. This study is designed to investigate the prognostic factor capability of preoperative hematologic parameters with postoperative morbidities and mortality in rectal cancer patients undergoing curative resection.MethodsAll 200 consecutive rectal cancer patients diagnosed at Ghaem University Hospital from 2017 to 2022 were retrospectively evaluated. The receiver operating characteristic (ROC) curves and machine learning (ML) algorithms of Random Forest, Recursive Feature Elimination, simulated annealing, Support Vector Machine, Decision Tree, and eXtreme Gradient Boosting were administered to investigate the role of preoperative hematologic parameters accompanied by baseline characteristics on three clinical outcomes including surgical infectious complications, recurrence, and death.ResultsThe frequency of infectious complications was correlated with the surgical procedure, while tumor recurrence was significantly influenced by T stage and N stage. In terms of mortality, alongside T and N stage, the status of resection margin involvement was significantly correlated. Based on the ROC analysis, the NLR >2.69, MPV ≤9 fL, and PDW ≤10.5 fL were more classified patients to mortality status. Likewise, the PLT >220 109/L, MPV ≤9 fL, PDW ≤10.4 fL, and PLR >13.6 were correlated with recurrence. However, all factors examined in this study were not significant classifiers for the outcome of surgical infectious complications. The results of ML algorithms were also in line with ROC analysis.ConclusionAccording to the results of both ROC analysis and ML models, preoperative hematologic parameters are considerable prognostic factors of postoperative outcomes in rectal cancer patients, and are recommended to be monitored by clinicians to prevent unfavorable outcomes.
Professional wisdom in counselor education: A consensual qualitative research
Authors: Zhu Peitao , Litherland Gideon , Bell Tamekia , Luke Melissa 
Published: May 2024

AbstractEmerging evidence has suggested that practitioners who demonstrate professional wisdom, a multifaceted disposition, show superior judgment and clinical efficacy. In this consensual qualitative research study, we examined 16 peer‐nominated wise counselor educators’ perspectives on professional wisdom in the context of counselor education. We identified seven domains pertaining to the characteristics and interpersonal effects of professional wisdom, as well as perceptual factors. Our findings present an initial framework of professional wisdom specific to the field of counselor education and provide implications for counselor education, counseling practice, and future research.
Algorithms and throughput analysis of cognitive radio‐based MIMO‐NOMA for the next generation of wireless communications
Authors: Saeed Ahmed Abd , Ahmed Mohamad A. 
Published: May 2024

AbstractIn this paper, multi‐users (MU) communications are considered based on the cognitive ratio (CR) technique. Multiple‐input multiple‐output (MIMO) and non‐orthogonal multiple access (NOMA) are proposed to be merged with CR for the sake of improving the achievable throughput and satisfying user fairness. Moreover, utilizing MIMO‐NOMA enables the CR users to be served in the coverage network without the need for spectral sensing. Three scenarios are assumed in this paper to investigate the performance of each CR secondary user (SU) in the presence of single or multiple primary users (PUs). Pairing algorithms are proposed and applied to obtain optimum throughputs and outage probabilities, in which the algorithms are employed to select a PU with an SU to be coupled in a pair, depending on allocating the required power for each user, taking into account that any PU has the priority to reach its required throughput. Moreover, mathematical expressions have been derived for each case to evaluate the required power allocation factor and the achievable throughput for each user. Furthermore, the proposed algorithms show successful and satisfactory achievable rates and outage probabilities.
AMPA and NMDA receptors in dentate gyrus mediate memory for sucrose in two port discrimination task
Authors: Sagarkar Sneha , Bhat Nagashree , Rotti Deepa , Subhedar Nishikant K. 
Published: May 2024

AbstractAlthough the phenomenon of memory formation and recall associated with the use of psychotropic drugs has been extensively studied, mechanisms underlying memories for natural reward have not been clarified. Herein, we test the hypothesis that glutamatergic receptors in the dentate gyrus play a role in memories associated with sucrose. We used pellet self‐administration protocol to generate memories in two‐port nose‐poke discrimination task using male Wistar rats. During non‐rewarded probe trial, the conditioned animals readily discriminated the active port versus inactive port and showed massive increase in mRNA expression of AMPA receptor subunit genes (gria2, gria3) as well as c‐Fos protein in the DG. Access to sweet pellet further enhanced c‐Fos expression in the DG. However, animals pre‐treated with AMPA receptor antagonist CNQX (intra‐DG), on exposure to operant chamber (no pellet), showed decreased discrimination as well as c‐Fos expression. We suggest that AMPA receptors in DG mediate recall and consolidation of memories associated with sucrose consumption. CNQX pre‐treated animals, if presented with sweet pellet on nose poke, exhibited high discrimination index coupled with increased c‐Fos expression. In these CNQX treated rats, the DI was again decreased following administration of NMDA receptor antagonist AP5. We suggest that, although AMPA receptors are blocked, the access to sweet pellet may induce surge of glutamate in the DG, which in turn may reinstate memories via activation of erstwhile silent synapses in NMDA dependant manner.
Embedded theoretical quality option pricing in Treasury bond futures—Starting from the definition deviation of conversion factor
Authors: Yang Xiaofeng , Zhao Ling 
Published: May 2024

AbstractUnlike ordinary futures, Treasury bond futures are a kind of complex financial derivatives with multiple Treasury bonds as the underlying, which can be settled on multiple dates. China's Treasury bond futures contract embeds a quality option, rolling timing option, and month end timing option, and these options restrict each other, making the pricing of Treasury bond futures extremely difficult. Quality option plays a dominant role in these three options. This article creatively divides quality options into theoretical quality option caused by the definition deviation of conversion factor and disturbance quality option caused by the market factors except for interest rate. Using the bond valuation method based on the yield to maturity curve, this article puts forward the embedded theoretical quality option and China's Treasury bond futures pricing models. For the empirical test, the dataset covers a 10‐year Treasury bond futures contract in 151 working days. The results show that the relative error between our model and the actual closing price of the Treasury bond futures is small compared with the cost of carry model, which excludes any embedded options. This research constructs a practical and straightforward pricing model of embedded theoretical quality option.
Quantification of Airborne Concentrations of Nanoscale Dusts by Particle Gravimetry Using Ionic‐Liquid Modified Polymeric Electrospun Fibers
Authors: Tok Zeki , Ertekin Kadriye 
Published: May 2024

AbstractIn this work, functional polymeric filters are prepared by electrospinning using four different non‐ionic polymers or their blends together with deliberately selected additives, and then tested for quantification of the nano‐sized powders. Particle gravimetry is used for the quantitative determination of the dusts. Validation studies are carried out using the ICP‐OES technique. The polymeric fibers prepared with different contents consist of PS/PMMA, PVDF/EC/PMMA, chitosan, chitosan/PMMA and PMMA/PVDF, respectively. The ionic liquids of tetra‐n‐butylammonium tetrafluoroborate, 1‐ethyl‐3‐methylimidazolium hexafluorophosphate and hexadecyltrimethylammonium bromide are used as additives for the preparation of the functional polymeric fibers. The prepared nanoscale dusts and electrospun fibers are characterized by SEM, XRD, XPS, and size distribution analysis techniques, respectively. Among them, the CTAB‐modified chitosan fibers exhibit the highest dust retention efficiency. This study introduces a new approach to the quantification of nano‐sized powders. In addition, it is concluded that the proposed method can be used in pre‐concentration before testing, cleaning powders from the working environment and quantitative analysis of nanoscale powders. The presented materials can also be used to improve indoor air quality and potential worker exposure in workplaces.
The role of exercise in aromatase inhibitor‐induced arthralgia
Authors: Yu Kerstin , Portes Pauline , Morris G. Stephen , Huang Laura , Felix Elizabeth R. , Farkas Gary J. , Molinares Diana , Tiozzo Eduard 
Published: May 2024

AbstractAromatase inhibitors are prescribed in breast cancer due to their associated lower rate of cancer recurrence compared to tamoxifen. However, aromatase inhibitor‐induced arthralgia (AIIA) is one of the leading causes of treatment nonadherence, increasing the risk of cancer recurrence. The pathophysiology of AIIA is poorly understood, and although current recommendations for AIIA include lifestyle changes and analgesics depending on the severity of symptoms, there is no established effective treatment. The aim of this study is to explore the presentation and mechanism of AIIA and investigate the feasibility and efficacy of different exercise interventions (aerobic, resistance, aerobic and resistance combined, and yoga or tai chi) in patients with AIIA to guide the development of formal exercise prescription guidelines. Findings indicate that a mixed‐modality regimen of aerobic and resistance exercises is feasible and safe and may serve the most benefit in improving joint pain, functionality, and quality of life. More specifically, the weekly regimen should consist of 150 min of aerobic exercise with two sessions of at least six resistance exercises, 8 to 12 repetitions, three sets each. Supplementary yoga and tai chi may be recommended twice a week depending on a patient's target symptoms. Yoga was associated with improved physical functionality, whereas tai chi was related to improvements in mental health. However, the feasibility and impact of combined aerobic and resistance exercise protocols with yoga or tai chi in our target population were not investigated in this review. The use of large, randomized controlled trials is recommended for future studies.
Performance of Nitrogen‐Doped Carbon Nanoparticles Carrying FeNiCu as Bifunctional Electrocatalyst for Rechargeable Zinc‐Air Battery
Authors: Guo Qiao , Yuan Rui , Zhao Yutong , Yu Ying , Fu Jie , Cao Longsheng 
Published: May 2024

AbstractCatalysts for zinc‐air batteries (ZABs) must be stable over long‐term charging‐discharging cycles and exhibit bifunctional catalytic activity. In this study, by doping nitrogen‐doped carbon (NC) materials with three metal atoms (Fe, Ni, and Cu), a single‐atom‐distributed FeNiCu‐NC bifunctional catalyst is prepared. The catalyst includes Fe(Ni‐doped)‐N4 for the oxygen evolution reaction (OER), Fe(Cu‐doped)‐N4 for the oxygen reduction reaction (ORR), and the NiCu‐NC catalytic structure for the oxygen reduction reaction (ORR) in the nitrogen‐doped carbon nanoparticles. This single‐atom distribution catalyst structure enhances the bifunctional catalytic activity. If a trimetallic single‐atom catalyst is designed, it will surpass the typical bimetallic single‐atom catcalyst. FeNiCu‐NC exhibits outstanding performance as an electrocatalyst, with a half‐wave potential (E1/2) of 0.876 V versus RHE, overpotential (Ej = 10) of 253 mV versus RHE at 10 mA cm−2, and a small potential gap (ΔE = 0.61 V). As the anode in a ZAB, FeNiCu‐NC can undergo continuous charge‐discharged cycles for 575 h without significant attenuation. This study presents a new method for achieving high‐performance, low‐cost ZABs via trimetallic single‐atom doping.
Limits of Preprocessing
Authors: Filmus Yuval , Ishai Yuval , Kaplan Avi , Kindler Guy 
Published: May 2024

AbstractIt is a classical result that the inner product function cannot be computed by an $${\rm AC}^0$$

AC

0

circuit. It is conjectured that this holds even if we allow arbitrary preprocessing of each of the two inputs separately. We prove this conjecture when the preprocessing of one of the inputs is limited to output $$n + n/(\log^{\omega(1)}n)$$

n
+
n
/
(

log

ω
(
1
)

n
)

bits and obtain a tight correlation bound. Our methods extend to many other functions, including pseudorandom functions, and imply a---weak yet nontrivial---limitation on the power of encoding inputs in low-complexity cryptography. Finally, under cryptographic assumptions, we relate the question of proving variants of the above conjecture with the question of learning $${\rm AC}^0$$

AC

0

under simple input distributions.
On the crystal-chemistry of inderite, Mg[B3O3(OH)5](H2O)4·H2O
Authors: Gatta G. Diego , Capelli Silvia C. , Comboni Davide , Cannaò Enrico 
Published: May 2024

AbstractThe crystal chemistry of inderite, a hydrous borate with known ideal formula MgB3O3(OH)5·5H2O from the Kramer deposit, was re-investigated by electron probe micro-analysis in wavelength dispersive mode, laser ablation-(multi collector-)inductively coupled plasma-mass spectrometry and single-crystal neutron diffraction. The chemical data prove that the real composition of the investigated inderite is substantially identical to the ideal one, with insignificant content of potential isomorphic substituents, so that, excluding B, inderite does not contain any other industrially-relevant element (e.g., Li concentration is lower than 2.5 wt ppm, Be or REE lower than 0.1 wt ppm). The average δ11BNIST951 value of ca. − 7 ‰ lies within the range of values in which the source of boron is ascribable to terrestrial reservoirs (e.g., hydrothermal brines), rather than to marine ones. Neutron structure refinements, at both 280 and 10 K, confirm that the building units of the structure of inderite consist of: two BO2(OH)2 tetrahedra (B-ion in sp3 electronic configuration) and one BO2(OH) triangle (B-ion in sp2 electronic configuration), linked by corner-sharing to form a (soroborate) B3O3(OH)5 ring, and a Mg-octahedron Mg(OH)2(OH2)4. The B3O3(OH)5 ring and the Mg-octahedron are connected, by corner-sharing, to form an isolated Mg(H2O)4B3O3(OH)5 (molecular) cluster. The tri-dimensional edifice of inderite is therefore built by heteropolyhedral Mg(H2O)4B3O3(OH)5 clusters mutually connected by H-bonds, mediated by the zeolitic (“interstitial”) H2O molecules lying between the clusters, so that the correct form of the chemical formula of inderite is Mg[B3O3(OH)5](H2O)4·H2O, rather than MgB3O3(OH)5·5H2O. All the thirteen independent oxygen sites of the structure are involved in H-bonding, as donors or as acceptors. This confirms the pervasive nature and the important role played by the H-bonding network on the structural stability of inderite. The differences between the crystal structure of the two dimorphs inderite and kurnakovite are discussed.
SARS-CoV-2 and Dysphagia: A Retrospective Analysis of COVID-19 Patients with Swallowing Disorders
Authors: Molino Christopher , Bergantini Laura , Santucci Silvia , Pitinca Marialuigia Tomai , d’Alessandro Miriana , Cameli Paolo , Taddei Sabrina , Bargagli Elena 
Published: May 2024

Abstract

Background: COVID-19 can lead to impairment of neural networks involved in swallowing, since the act of swallowing is coordinated and performed by a diffuse brain network involving peripheral nerves and muscles. Dysphagia has been identified as a risk and predictive factor for the severest form of SARS-CoV-2 infection. Objectives: To investigate the association between swallowing disorders and COVID-19 in patients hospitalized for COVID-19. Methods: We collected demographic data, medical information specific to dysphagia and data on medical treatments of patients with COVID-19. Results: A total of 43 hospitalized COVID-19 patients were enrolled in the study. Twenty (46%) were evaluated positive for dysphagia and 23 (54%) were evaluated negative. Neurocognitive disorders and diabetes were mostly associated with patients who resulted positive for dysphagia. Respiratory impairment caused by COVID-19 seems to be a cause of dysphagia, since all patients who needed oxygen-therapy developed symptoms of dysphagia, unlike patients who did not. In the dysphagic group, alteration of the swallowing trigger resulted in the severest form of dysphagia. An association was found between the severest form of COVID-19 and dysphagia. This group consisted predominantly of males with longer hospitalization. Conclusions: Identification of COVID-19 patients at risk for dysphagia is crucial for better patient management.
Electric vehicles as an emission mitigation option: expectations and reality
Authors: Tetik Kollugil Esin , Sarıca Kemal , Topcu Y. Ilker 
Published: May 2024

AbstractGlobally, the reliance on thermal power, constituting 67% of electricity generation, prompts questions for many countries regarding the viability of electric vehicles (EVs) for emission reduction in the transportation sector. This study comprehensively analyzes CO2 emissions in the small family car segment, considering engines powered by different energy sources. The analysis is coupled with Worldwide Harmonized Light Vehicle Test Procedure driving profiles, accounting for specific ambient temperature structures representative of densely populated areas in Türkiye. The constructed model incorporates the hourly temperature of the relevant cities and the hourly electricity production mix by considering the indirect emissions and comparing the ICEVs (Internal Combustion Engine Vehicles) and EVs in different time frames from 2015 to 2020. The resulting emissions from each vehicle type in each city and driving profile, along with the ratio of instances in which EVs exhibit higher emissions than ICEVs, are presented.The findings reveal the intricate interplay between vehicle type, climate conditions, and driving profiles. While the urban driving profile emerges as superior for EVs regarding CO2 reduction, offering a comfortable driving experience without range anxiety and mitigating local pollutants, it exhibits less significant carbon emission reductions at lower and higher speed profiles, particularly in cold climate conditions. EVs are not a silver bullet but a valuable technology for emissions reduction under specific conditions. Policymakers are urged to consider factors favoring EVs over ICEVs regarding CO2 emissions, such as driving profiles, time and climatic conditions when formulating investment policies and subsidies.
Graphical abstract
The diagnostic value of multimodal imaging based on MR combined with ultrasound in benign and malignant breast diseases
Authors: Bai Dong , Zhou Nan , Liu Xiaofei , Liang Yuanzi , Lu Xiaojun , Wang Jiajun , Liang Lei , Wang Zhiqun 
Published: May 2024

AbstractWe aimed to construct and validate a multimodality MRI combined with ultrasound based on radiomics for the evaluation of benign and malignant breast diseases. The preoperative enhanced MRI and ultrasound images of 131 patients with breast diseases confirmed by pathology in Aerospace Center Hospital from January 2021 to August 2023 were retrospectively analyzed, including 73 benign diseases and 58 malignant diseases. Ultrasound and 3.0 T multiparameter MRI scans were performed in all patients. Then, all the data were divided into training set and validation set in a 7:3 ratio. Regions of interest were drawn layer by layer based on ultrasound and MR enhanced sequences to extract radiomics features. The optimal radiomic features were selected by the best feature screening method. Logistic Regression classifier was used to establish models according to the best features, including ultrasound model, MRI model, ultrasound combined with MRI model. The model efficacy was evaluated by the area under the curve (AUC) of the receiver operating characteristic, sensitivity, specificity, and accuracy. The F-test based on ANOVA was used to screen out 20 best ultrasonic features, 11 best MR Features, and 14 best features from the combined model. Among them, texture features accounted for the largest proportion, accounting for 79%.The ultrasound combined with MR Image fusion model based on logistic regression classifier had the best diagnostic performance. The AUC of the training group and the validation group were 0.92 and 091, the sensitivity was 0.80 and 0.67, the specificity was 0.90 and 0.94, and the accuracy was 0.84 and 0.79, respectively. It was better than the simple ultrasound model (AUC of validation set was 0.82) or the simple MR model (AUC of validation set was 0.85). Compared with the traditional ultrasound or magnetic resonance diagnosis of breast diseases, the multimodal model of MRI combined with ultrasound based on radiomics can more accurately predict the benign and malignant breast diseases, thus providing a better basis for clinical diagnosis and treatment.
Analyzing Stationarity in World Coffee Prices
Authors: Flores Komatsu C. , Gil-Alana L. A. 
Published: May 2024

AbstractThis paper investigates the degree of persistence of monthly coffee prices of five different groups (ICO Composite, Brazilian Naturals, Other Milds, Colombian Milds, and Robusta) between the years 1965 and 2020 by using long memory and fractional integration processes. The results show high degrees of persistence for all coffee groups, rejecting the hypothesis of I(0) stationarity, and showing a lack of mean reversion towards the long-run price level for most coffee groups. The results imply that in the case of an exogenous shock in coffee price levels, strong policy measures must be introduced to regain their original levels.
Enhancing arthropod occurrence in wheat cropping systems: the role of non-chemical pest management and nitrogen optimization
Authors: Gitzel Julia , Kampen Helge , Sellmann Jörg , Schwarz Jürgen , Hoffmann Luca Marie , Kühne Stefan , Ulrichs Christian , Werner Doreen 
Published: May 2024

AbstractThis study analyzes arthropod biomass and abundance to track the changes in arthropod occurrence in relation to pesticide use in three winter wheat cropping systems managed at different intensities (organic, conventional, and hybrid). Arthropod occurrence was surveyed using three collection tools: sweeping nets, eclector traps, and yellow traps. Sampling was conducted over three years from 2020 to 2022 with 588 samples collected. The wet weight of the captured organisms was determined and arthropod abundance calculated. The application of a NOcsPS (no chemical-synthetic pesticides) strategy, a new hybrid cultivation method realized with optimized use of nitrogen fertilizers but without chemical-synthetic pesticides, showed a higher arthropod occurrence and performed more convincingly regarding produced arthropod biomass and abundance than the other cropping variants. The results also demonstrate a dependence of the obtained insect indices on the collection method. Although arthropod biomass and abundance correlated for all collection methods, the combination of various methods as well as multiple procedures of sample analysis gives a more realistic and comprehensive view of the impact of the wheat cultivation systems on the arthropod fauna than one-factor analyses.