bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of low glycemic index pancakes formulated with canary seed (Phalaris canariensis) flour
Authors: Escalante-Figueroa Fernanda , Castellanos-Ruelas Arturo , Castañeda-Pérez Eduardo , Chel-Guerrero Luis , Betancur-Ancona David 
Published: November 2023

Abstract
Consumers prefer food products that, in addition to chemical and nutritional properties, also have effects beneficial to health. The use of non-conventional food plants such as canary seed (Phalaris canariensis) constitutes an alternative in the food industry due to nutritional properties, chemical and bioactive potential. The aim of this research was to develop pancake formulations with the inclusion of canary seed flour to evaluate their chemical composition, sensory acceptability, and glycemic index. Pancakes based on whole-wheat flour mixed with canary seed flour were developed at three substitution levels (10, 30, and 50%). The formulations exhibited attractive nutritional properties, mainly due to the levels of protein (~ 8.7%), minerals (~ 5.1%), and total dietary fiber (4.7–5.9%). The perception of the attributes showed a statistical difference (p < 0.05) between the formulations. The flours with 10 and 30% showed high sensory acceptability with average scores of 6.22 and 6.67, between the categories "I like it" and "I like it a lot". All formulations presented a low glycemic index (34–39%) that was significantly influenced (p < 0.05) as the level of substitution increased. The findings represent a new approach to the use of canary seed in the development of healthy food products.
Transcriptomic gene profiles in an ex vivo model of erythropoiesis to unravel molecular pathomechanisms of Sickle Cell Disease
Authors: Tinguely Matthis , Opitz Lennart , Schaer Dominik J. , Vallelian Florence , Schmugge Markus , Franzoso Francesca D. 
Published: November 2023

Abstract
We characterized the transcriptional profiles of erythroid cells differentiated from peripheral blood mononuclear cells (PBMCs) from peripheral blood collected from patients diagnosed with Sickle Cell Disease (SCD), which have been treated with Hydroxyurea (HU) in comparison to untreated SCD patients and healthy controls (HC) using bulk RNAseq. We identified 398 differentially expressed genes (DEGs) in SCD non-treated-derived erythroid cells and 65 DEGs in SCD HU-treated patient-derived erythroid cells compared to HC. We found biological processes such as oxidative phosphorylation pathway, proteasome, autophagy, natural killer cell (NK) cytotoxicity, adaptive immune response or inflammatory response to be significantly enriched in our patient study groups by using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Our findings collectively suggest different as well as common molecular signatures between our groups. We could validate 12 of our top DEGs in treated patients by qRT-PCR. We performed additional experiments to compare the mRNA levels of mutS homolog 5- Suppressor APC Domain Containing 1 (MSH5-SAPCD1), G protein subunit gamma 4 (GNG4), stabilin 1/ clever-1 (STAB1) and Fas Binding Factor 1 (FBF1) from the bone marrow cells and spleen tissue from the Berkely SCD mouse model to the expressions observed in the transcriptome.
Trial-by-trial responses of individuals with mild depression in tasks with varying reward probabilities
Authors: Tian Xiuju , Jing hui , Wang Lijun , Chen Qianqian 
Published: November 2023

Abstract
Numerous studies have traditionally employed monetary incentives to investigate reward and loss processing in individuals exhibiting depressive symptoms, despite the fact that depression often arises and persists due to maladaptive responses to social rewards and losses.In this study, we explored the responses of individuals with mild depression under different reward tasks and reward probabilities and further clarified the psychological mechanism of individuals with mild depression under reward and loss. 57 participants with mild depression and 57 healthy controls (HC) completed the monetary incentive delay (MID) and social incentive delay (SID) tasks. The results revealed that there was no interaction between reward task and group reaction time(RT). Responses of the two groups in MID and SID were similar. Under conditions of high reward probability, the reaction time of the HC was distinctively shorter than that of the group with mild depression, while there was no difference between the two groups under low reward probability conditions. In conclusion, individuals with mild depression demonstrate a more pronounced impairment in their reward function under conditions of high reward probability. They exhibit normal responses to monetary loss and and social negation under conditions of low reward probability.
Identification of extracellular vesicles from theirRaman spectra via self-supervised learning
Authors: Jensen Mathias Novik , Guerreiro Eduarda Mazagao , Enciso-Martinez Agustin , Kruglik Sergei G. , Otto Cees , Snir Omri , Ricaud Benjamin , Hellesø Olav Gaute 
Published: November 2023

Abstract
Extracellular vesicles (EVs) released from cells attract interest for their possible role in health and diseases. The detection and characterization of EVs is challenging due to the lack of specialized methodologies. Raman spectroscopy, however, has been suggested as a novel approach for biochemical analysis of EVs. To extract information from the spectra, a novel deep learning architecture is explored as a versatile variant of autoencoders. The proposed architecture considers the frequency range separately from the intensity of the spectra. This enables the model to adapt to the frequency range, rather than requiring that all spectra be pre-processed to the same frequency range as it was trained on. It is demonstrated that the proposed architecture accepts Raman spectra of EVs and lipoproteins from 13 biological sources and from two laboratories. High reconstruction accuracy is maintained despite large variances in frequency range and noise level. It is also shown that the architecture is able to cluster the biological nanoparticles by their Raman spectra and differentiate them by their origin without pre-processingof the spectra or supervision during learning. The model performs label-free differentiation, including separating EVs from activated vs. non-activated blood platelets and EVs/lipoproteins from prostate cancer patients vs. non-cancer controls. The differentiation is evaluated by creating a neural network classifier that observes the features extracted by the model to classify the samples according to their origin. The classification reveals a test sensitivity of 92.2% and selectivity of 92.3% over 769 measurements from two labs that have different measurement configurations.
Early-life thymectomy enhances persistence of fetal-derived γδ T cells in children with congenital heart disease
Authors: Ravens Sarina , Cramer Alexa , Riemann Lennart , Almeida Vicente , Yang Tao , Kammeyer Christoph , Gluschke Elisa , Kleiner Svea , Léon-Lara Ximena , Janssen Anika , Hofmann Alejandro , Horke Alexander , von Kaisenberg Constantin , Forster Reinhold , Beerbaum Philipp , Boehne Martin 
Published: November 2023

Abstract

Congenital heart disease (CHD) is the most common birth defect in newborns, often requiring surgical correction with thymectomy that is known to affect the T-cell pool and subsequent disease susceptibility. Studies of γδ T cells, which develop as ontogenetic waves, are rare in this context. Here, γδ T cells and αβ T cells were investigated in children with CHD, who underwent cardiac surgery shortly after birth. A reduced thymic activity and perturbations in postnatal-derived T cells were evident at 5–12 years post-surgery. Fetal-derived CD161hiNKG2A+ Vγ9Vδ2 T cells, which retained their functionality, showed elevated abundance. An increase of TRDJ3+ γδ T cell clones in pediatric CHD patients, but not in a confirmatory group of neonates prior to cardiac surgery, was identified. This study provides insight into the postnatal adaptation of γδ T cells in relation to thymic output and identifies persistence of fetal-derived Vγ9Vδ2 T cells in pediatric CHD patients.
The association between smoking and family health with the mediation role of personality among Chinese people: nationwide cross-sectional study
Authors: Chen Jiangyun , Ren Na , Luo Menglin , Gan Li , Li Haomiao , Liu Siyuan , Zhou Yan , Yang Jiao , Zhou Haozheng , Yin Xuanhao , Yang Xinlei , Wan Jiahuan , Wu Yibo , Luo Zhenni 
Published: November 2023

Abstract
Background: There may be unexplored interactions between family health, personality, and smoking that could help provide new perspectives on tobacco control.
Objective: To examine the relationship between the health of one's family and their smoking habits, as well as investigate the potential influence of personality on this relationship.
Methods: For this cross-sectional investigation, a national survey conducted in China in 2022 recruited a total of 21916 individuals. The Family Health Scale was utilized to assess the health of the family. The 10-item Big Five Inventory scale was utilized to assess the Big five personality traits. The relationship between big five personality, family health, and smoking were investigated using binary and linear logistic regression. The indirect effects mediated by Big five personality were analyzed using mediation analysis with Sobel tests, and the indirect effects were composited using the Karlson-Holm-Breen method.
Results: The overall prevalence of smoking in the study population was 14.87%, 26.19% for males and 3.54% for females. Urban and rural smoking prevalence was 13.81% and 16.10% respectively. Binary logistic regression analysis revealed a significant negative relationship between smoking and family health (odds ratio 0.964, 95% CI 0.959,0.970，P<0.001) with covariates controlled. The Karlson-Holm-Breen composition facilitated the connection between extraversion (47.81%) and nervousness (52.19%).
Conclusions: Preventive interventions for smoking behavior should prioritize family health and the Big five personality as significant areas to focus on. According to this study, in addition to implementing various interventions for different personalities, family health should be strengthened to reduce smoking behavior.
Human Brain Tissue Identification Using Coherent Anti-Stokes Raman Scattering Spectroscopy and Diffuse Reflectance Spectroscopy for Deep Brain Stimulation Surgery
Authors: Jerczyński Sébastien , Quémener Mireille , Noël Valérie Pineau , Rousseau Antoine , Parham Elahe , Bédard Alexandre , Masoumi Shadi , Charland Thomas , Drouin Anthony , Roussel Jonathan , Dionne Valérie , Shooner Thomas , Parrot Anaïs , Takech Mohamad , Philippe Éric , DePaoli Damon , Cantin Léo , Parent Martin , Côté Daniel 
Published: November 2023

Abstract

We assess the feasibility of using diffuse reflectance spectroscopy (DRS) and coherent anti-Stokes Raman scattering spectroscopy (CARS) as optical tools for human brain tissue identification during deep brain stimulation (DBS) electrode insertion, thereby providing a promising avenue for additional real-time neurosurgical guidance.
DRS and CARS spectra were acquired using a custom-built optical probe integrated in a commercial DBS lead. The electrode was inserted to target 3 specific regions in each of the brain hemispheres of a human cadaver, for a total of 6 insertions. DRS and CARS spectra were acquired during the lead insertion at constant position increments. Spectra were analyzed using a dimensionality-reduction technique, principal component analysis (PCA), and the k-means clustering method to classify each spectrum as being either white matter or gray matter for each trajectory. The results were compared to visual tissue classifications performed on histological brain sections and classifications based on a preoperative magnetic resonance imaging (MRI) scan.
DRS and CARS spectra obtained using the optical probe can identify white and gray matter during DBS lead insertion. In addition, the tissue composition along the trajectory toward a specific target is unique and can be differentiated by the optical probe. Moreover, the results obtained with PCA results suggest that DRS might be able to detect the presence of blood in front of the optical probe due to the strong optical absorption of hemoglobin in this wavelength range.
It is possible to use optical measurements from the DBS lead during surgery to identify white and gray matter, and possibly the presence of blood in human brain tissue. This information could provide better guidance in real time and prevent hemorrhages without disrupting the normal surgical workflow. Further developments are required to fully integrate these tools into standard clinical procedures.
Survival impact of sequential chemotherapy following pembrolizumab for recurrent or metastatic head and neck squamous cell carcinoma
Authors: Iwaki Sho , Kadowaki Shigenori , Honda Kazunori , Narita Yukiya , Masuishi Toshiki , Taniguchi Hiroya , Ando Masashi , Muro Kei , Sawabe Michi , Suzuki Hidenori , Nishikawa Daisuke , Beppu Shintaro , Terada Hoshino , Kishikawa Toshihiro , Kawakita Daisuke , Hanai Nobuhiro 
Published: November 2023

Abstract
Background
Pembrolizumab alone or combined with chemotherapy is the standard of care for first-line treatment of patients with recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) with positive programmed death-ligand 1 combined positive scores. However, data on second-line chemotherapy following pembrolizumab are scarce.
Methods
A single-center, retrospective study was conducted to determine the efficacies of pembrolizumab and pembrolizumab plus chemotherapy as first-line treatments and the efficacy of second-line chemotherapy for patients with R/M HNSCC who were refractory or intolerant to first-line treatment.
Results
Fifty-four patients were treated with pembrolizumab, and 29 patients received second-line therapy. The median progression-free survival (PFS), overall survival (OS), and PFS on next-line therapy for first-line treatment were 4.7 (95% confidence interval [CI], 2.1–8.7), 22.1 (95% CI, 12.6–not reached), and 15.6 months (95% CI, 9.7–not reached) in the pembrolizumab group and 5.4 (95% CI, 3.3–6.8), 15.8 (95% CI, 8.6–not reached), and 13.7 months (95% CI, 8.1–not reached) in the pembrolizumab plus chemotherapy group, respectively. The overall response rate and median PFS for second-line treatment were 48.3% (95% CI, 30.4–67.0) and 6.1 months (95% CI, 2.30–8.84). The median OS for patients who received second-line treatment was 18.4 months, which was superior to the median OS of 6.0 months for patients who received the best supportive care (log-rank p = 0.10).
Conclusion
The results of this study indicate that second-line chemotherapy can improve outcomes in patients with R/M HNSCC, even after failure, or intolerance to first-line therapy.
Study on the Dynamic Response Characteristics of Lining Structures in Large-section Tunnel Blasting Using JH-2 Model Analysis
Authors: Li Fengting , Wu Ke , Li Shengrui , Wang Cao , Liu Yajun , Dou Zhongyu 
Published: November 2023

Abstract

The lining structures of tunnels are typically constructed using sprayed or cast concrete materials, and their performance and quality during tunnel excavation and blasting are crucial for the stability and safety of tunnels. Therefore, the safe distance between the lining structure and blasting source should be determined to avoid concrete damage caused by blasting vibrations. In this study, using the Danshan large-section underground station tunnel in Qingdao as an example, the Johnson–Holmquist-2 (JH-2) model parameters of the local surrounding rock were obtained experimentally. Using numerical simulations and theoretical validation of the JH-2 model, this research focused on the safe distance for the lining structure concrete under various safety criteria. The results indicate that the JH-2 model can effectively simulate the propagation of stress waves under different media conditions, and the closer the strength parameters and pressure constant of the lining structure are to those of the surrounding rock, the safer the concrete–roc-k bonding interface. During tunnel blasting construction using the ring blasting method, the peak particle velocity (PPV) of the lining structure increases with an increase in the arch angle. Based on the numerical simulation results, we recommend that concrete lining be constructed at a distance of at least 62 m from the blasting source to avoid damage caused by vibrations. The effect of concrete tensile failure caused by longitudinal stress is much smaller than the damage to the bonding interface caused by the PPV and can be neglected.
Comparative Analysis of Absorption Resonances between Carbynes and Cyclo[n]carbons
Authors: Payod Renebeth , Pushkarchuk Aliaxandr , Michels Dominik , Lyakhov Dmitry , Saroka Vasil 
Published: November 2023

Abstract

We present here two approaches to analyze the absorption resonances between carbynes and cyclo[n]carbons, namely the analytical tight-binding model to calculate the optical selection rules of cumulenic atomic rings and chains and the numerical time-dependent density functional theory for the optical investigation of polyynic carbon ring and chains. The optical absorption spectra of the carbon ring match that of the finite chain when their eigenenergies align following the Nring = 2Nchain+2 rule, which states that the number of atoms in an atomic ring Nring is twice the number of atoms on a finite chain Nchain with two additional atoms. We chose two representative atomic chains for our numerical calculations, specifically carbynes with N = 7 and 8 carbon atoms as a possible optical resonance spectra match to a recently synthesized carbon ring called cyclo[18]carbon. Despite the mismatch in resonance peaks, molecular orbital transitions of both carbynes N = 7 and 8 and cyclo[18]carbon reveal a wave function symmetry change from inversion to reflection and vice versa for allowed molecular orbital transitions which results in electron density redistribution along the polyynic carbyne axis or the cyclo[18]carbon circumference.
Controlling Surface Morphology of Ag-doped ZnO as a Buffer Layer by Dispersion Engineering in Planar Perovskite Solar Cells
Authors: Bagha Ghazaleh , Samavati katayoon , Naffakh-Moosavy Homam , Matin Laleh Farhang 
Published: November 2023

Abstract
In recent years, the power conversion efficiency (PCE (%)) of perovskite solar cells (PSCs) has improved to over 26%. For improving the photovoltaic properties of PSCs, several materials for the electron transport layer (ETL) have been investigated. Zinc oxide (ZnO) has been a significant material studied as an ETL due to its high electron mobility and optical transparency in PSCs. With different deposition methods, ZnO ETL can be processed at low temperatures. Based on several studies, metal-doped ZnO can facilitate electron transfer, thereby improving the performance of un-doped ZnO ETL-based PSCs. Here, to improve the PCE (%) and long-term stability of un-doped ZnO ETL-PSCs, silver (Ag)-doped ZnO 1wt.% as a buffer layer is examined. In this paper, with the addition of an organic solvent (ethanol) to the dispersion of Ag-doped ZnO 1 wt.% nanoparticles (NPs) in deionized (DI) water, the morphology of the buffer layer (Ag-doped ZnO 1 wt.%) can be controlled. This approach focuses on reducing the wettability of the ETL and enhancing the stability of un-doped ZnO ETL-PSCs. According to the results, the preparation of Ag-doped ZnO 1wt.% film as a buffer layer by NPs dispersing in H2O-ethanol mixtures leads to the formation of high-quality perovskite with low defect levels, reducing the recombination rate, and long-term stability of un-doped ZnO ETL-PSCs in ambient conditions. Corresponding author: k_samavati@iau-tnb.ac.ir (Katayoon Samavati).
A Stackelberg Game Approach to Pricing and Benefit Optimization for Secure Transactions of Service Resources based on Blockchain
Authors: Liu Wei , Feng Wenlong , Huang Mengxing , Li Chaoyang 
Published: November 2023

Abstract

The challenges in service transactions include mutual distrust, difficulties in quantifying and accurately evaluating the value of services. There is an urgent need for a technological solution to foster collaboration between service providers and consumers, and enabling the optimization of benefits and market share through scientifically rational pricing strategies.Firstly, this paper introduces ServiceChain, a peer-to-peer distributed service management and trading system that utilizes consortium blockchain technology to effectively address issues of data privacy, security, and mutual distrust in traditional service transaction systems. Secondly, a Stackelberg pricing mechanism and benefit strategy model for service resources in a distributed environment is presented, encompassing models for optimal pricing and maximizing benefits, with the goal of maximizing interests for service providers, consumers, and the overall system. Thirdly, the security analysis and simulation experiments validate the efficacy of ServiceChain in providing secure service transactions management and trading, ensuring transaction data security and user privacy.Additionally, the positive effects of the Stackelberg pricing mechanism and profit strategy model in balancing service supply and demand, enhancing price flexibility, maximizing benefits, and ensuring security are demonstrated. In summary, these findings propose a viable solution for service resource trading and offer insights for optimizing the operation of the service market.