bluuebunny/crossref_metadata_2025_split huggingface dataset:
Successful monotherapy with autologous formalin‐fixed tumor vaccine for a Stage IV uterine cancer patient who rejected rational chemotherapy and immune checkpoint inhibitor treatment
Authors: Fukuda Katsuhiko , Ohno Tadao 
Published: June 2023

Key Clinical MessageTo overcome patient‐initiated treatment refusal because of fear of experiencing severe negative adverse events, mild immunotherapy using a cancer vaccine such as the autologous formalin‐fixed tumor vaccine should be considered.AbstractA patient who refused chemotherapy and immune checkpoint inhibitor treatment for Stage IV uterine cancer after displaying circulating tumor cells and high microsatellite instability received monotherapy with autologous formalin‐fixed tumor vaccine (AFTV). Following treatment, we observed regression of multiple lung metastases, suggesting that AFTV is an attractive treatment option.
Rapid Chemical Synthesis of Serine Protease Inhibitor Kazal‐type 13 (SPINK13) Glycoform by a Combined Method with Glycan Insertion Strategy and Fast‐Flow Fmoc SPPS**
Authors: Nomura Kota , Okamoto Ryo , Maki Yuta , Hayashibara Ayumu , Takao Toshifumi , Fukuoka Tomoya , Miyoshi Eiji , Pentelute Bradley L. , Kajihara Yasuhiro 
Published: June 2023

AbstractSerine protease inhibitor Kazal type 13 (SPINK13) is a secreted protein that has been recently studied as a therapeutic drug and an interesting biomarker for cancer cells. Although SPINK13 has a consensus sequence (Pro‐Asn‐Val‐Thr) for N‐glycosylation, the existence of N‐glycosylation and its functions are still unclear. In addition to this, the preparation of glycosylated SPINK 13 has not been examined by both the cell expression method and chemical synthesis. Herein we report the chemical synthesis of the scarce N‐glycosylated form of SPINK13 by a rapid synthetic method combined with the chemical glycan insertion strategy and a fast‐flow SPPS method. Glycosylated asparagine thioacid was designed to chemoselectively be inserted between two peptide segments where is the sterically bulky Pro‐Asn(N‐glycan)‐Val junction by two coupling reactions which consist of diacyl disulfide coupling (DDC) and thioacid capture ligation (TCL). This insertion strategy successfully afforded the full‐length polypeptide of SPINK13 within two steps from glycosylated asparagine thioacid. Because the two peptides used for this synthesis were prepared by a fast‐flow SPPS, the total synthetic time of glycoprotein was considerably shortened. This synthetic concept enables us to repetitively synthesize a target glycoprotein easily. Folding experiments afforded well‐folded structure confirmed by CD and disulfide bond map. Invasion assays of glycosylated SPINK13 and non‐glycosylated SPINK13 with pancreatic cancer cells showed that non‐glycosylated SPINK‐13 was more potent than that of glycosylated SPINK13.
Five Novel Silver‐Based Coordination Polymers as Photoluminescent Sensing Platforms for the Detection of Nitrobenzene
Authors: Sekine Taishu , Sakai Jin , Horita Yusuke , Mabuchi Haruna , Irie Tsukasa , Hossain Sakiat , Kawawaki Tokuhisa , Das Subhabrata , Takahashi Shuntaro , Das Saikat , Negishi Yuichi 
Published: June 2023

AbstractNitrobenzene (NB) is a highly toxic chemical and a cause for concern to human health and the environment. Hence, it is worth designing new efficient and robust sensing platforms for NB. In this study, we present three newly synthesized luminescent silver cluster‐based coordination polymers, {[Ag10(StBu)6(CF3COO)4(hpbt)] (DMAc)2(CH3CN)2}n (hpbt=N,N,N’,N'N”,N”‐hexa(pyridine‐4‐yl)benzene‐1,3,5‐triamine), [Ag12(StBu)6(CF3COO)6(bpva)3]n (bpva=9,10‐Bis(2‐(pyridin‐4‐yl)vinyl)anthracene), and {[Ag12(StBu)6(CF3COO)6(bpb)(DMAc)2(H2O)2] (DMAc)2}n (bpb=1,4‐Bis(4‐pyridyl)benzene) composed of Ag10, Ag12 and Ag12 cluster cores, respectively, connected by multidentate pyridine linkers. In addition, two new luminescent polymorphic silver(I)‐based coordination polymers, [Ag(CF3COO)(dpa)]n (dpa=9,10‐di(4‐pyridyl)anthracene) referred to as Agdpa (H) and Agdpa (R), where H and R denote hexagon‐ and rod‐like crystal shapes, respectively, have been prepared. The coordination polymers exhibit highly sensitive luminescence quenching effects to NB, attributed to the π−π stacking interactions between the polymers and NB as well as the electron‐withdrawing character of NB.
Post‐operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and SMAD4 expression
Authors: Masugi Yohei , Takamatsu Manabu , Tanaka Mariko , Hara Kensuke , Inoue Yosuke , Hamada Tsuyoshi , Suzuki Tatsunori , Arita Junichi , Hirose Yuki , Kawaguchi Yoshikuni , Nakai Yousuke , Oba Atsushi , Sasahira Naoki , Shimane Gaku , Takeda Tsuyoshi , Tateishi Keisuke , Uemura Sho , Fujishiro Mitsuhiro , Hasegawa Kiyoshi , Kitago Minoru , Takahashi Yu , Ushiku Tetsuo , Takeuchi Kengo , Sakamoto Michiie ,   for the GTK Pancreatic Cancer Study Group in Japan
Published: June 2023

AbstractAlterations in KRAS, CDKN2A (p16), TP53, and SMAD4 genes have been major drivers of pancreatic carcinogenesis. The clinical course of patients with pancreatic cancer in relation to these driver alterations has not been fully characterised in large populations. We hypothesised that pancreatic carcinomas with different combinations of KRAS mutation and aberrant expression of CDKN2A, p53, and SMAD4 might show distinctive recurrence patterns and post‐operative survival outcomes. To test this hypothesis, we utilised a multi‐institutional cohort of 1,146 resected pancreatic carcinomas and assessed KRAS mutations by droplet digital polymerase chain reaction and CDKN2A, p53, and SMAD4 expression by immunohistochemistry. Multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) for disease‐free survival (DFS) and overall survival (OS) were computed according to each molecular alteration and the number of altered genes using the Cox regression models. Multivariable competing risks regression analyses were conducted to assess the associations of the number of altered genes with specific patterns of recurrence. Loss of SMAD4 expression was associated with short DFS (multivariable HR, 1.24; 95% CI, 1.09–1.43) and OS times (multivariable HR, 1.27; 95% CI, 1.10–1.46). Compared to cases with 0–2 altered genes, cases with three and four altered genes had multivariable HRs for OS of 1.28 (95% CI, 1.09–1.51) and 1.47 (95% CI, 1.22–1.78), respectively (ptrend < 0.001). Patients with an increasing number of altered genes were more likely to have short DFS time (ptrend = 0.003) and to develop liver metastasis (ptrend = 0.006) rather than recurrence at local or other distant sites. In conclusion, loss of SMAD4 expression and an increasing number of altered genes were associated with unfavourable outcomes in pancreatic cancer patients. This study suggests that the accumulation of the four major driver alterations can confer a high metastatic potential to the liver, thereby impairing post‐operative survival among patients with pancreatic cancer.
Pharmacokinetic and Safety Study of Single and Multiple Oral Doses of Safinamide in Healthy Chinese Volunteers
Authors: Jing Sun , Yuan Yaozong , Leuratti Chiara , Vaja Valentina , Cattaneo Carlo 
Published: June 2023

AbstractThis randomized, parallel‐group study evaluated the plasma pharmacokinetic profile of safinamide in 24 healthy Chinese men and women, randomly assigned to receive 50 or 100 mg of safinamide as a single dose, followed, after a 7‐day washout, by multiple doses once daily for 7 days. Plasma safinamide was determined up to 96 h after the first single dose (day 1) and the last multiple dose (day 14), and up to 24 h after the first multiple dose (day 8). Following single‐ and multiple‐dose administration, peak concentrations were achieved at a median time of 1.5–2 h. Plasma exposure increased in a dose‐proportional manner. After single dose, mean half‐life was 23–24 h. Area under the concentration‐time curve (AUC) from time zero extrapolated to infinity was only slightly higher than AUC from time zero to the last quantifiable concentration, corresponding for the 2 parameters, respectively, to 12,380 and 11,560 ng • h/mL for the 50 mg and to 22,030 and 20,790 ng • h/mL for the 100‐mg dose. AUC in the dosing interval at steady state was 13,150 and 23,100 ng • h/mL for 50 and 100 mg of safinamide. Steady state was reached in 6 days, accumulation was approximately twofold, and the pharmacokinetics were time independent. The plasma safinamide pharmacokinetic profile observed in this study is in line with the published results in both Chinese and non‐Asian populations.
The Role of Lewis Acid Sites in γ‐Al2O3 Oligomerization
Authors: Breckner Christian J. , Pham Hien N. , Dempsey Michael G. , Perez‐Ahuatl Michelle A. , Kohl Alyssa C. , Lytle Corryn N. , Datye Abhaya K. , Miller Jeffrey T. 
Published: June 2023

AbstractOlefin oligomerization by γ‐Al2O3 has recently been reported, and it was suggested that Lewis acid sites are catalytic. The goal of this study is to determine the number of active sites per gram of alumina to confirm that Lewis acid sites are indeed catalytic. Addition of an inorganic Sr oxide base resulted in a linear decrease in the propylene oligomerization conversion at loadings up to 0.3 wt %; while, there is a >95 % loss in conversion above 1 wt % Sr. Additionally, there was a linear decrease in the intensity of the Lewis acid peaks of absorbed pyridine in the IR spectra with an increase in Sr loading, which correlates with the loss in propylene conversion, suggesting that Lewis acid sites are catalytic. Characterization of the Sr structure by XAS and STEM indicates that single Sr2+ ions are bound to the γ‐Al2O3 surface and poison one catalytic site per Sr ion. The maximum loading needed to poison all catalytic sites, assuming uniform surface coverage, was ∼0.4 wt % Sr, giving an acid site density of ∼0.2 sites per nm2 of γ‐Al2O3, or approximately 3 % of the alumina surface.
The value of data for environmental sustainability as perceived by the customers of a tissue‐paper supplier
Authors: Luoma Päivi , Rauter Romana , Penttinen Esko , Toppinen Anne 
Published: June 2023

AbstractTo manage their increasingly ambitious environmental agendas successfully, companies need better and more versatile data, yet the elements and mechanisms through which businesses and the environment benefit from data remain poorly understood. A single‐case‐study setting was designed for examining the perceived value of data for environmental sustainability as seen by the customers of a tissue‐paper supplier. The findings, from material collected during interviews with customers in 2022, showcase the multifaceted nature of data's value for business operations and associated ability to support decisions and activities that encourage environment‐informed choices and environmental improvements. Also, fully exploiting data's potential for environmental sustainability requires greater volume and detail of product‐specific data, transparency of value chains and environmental impacts, and data's better management and sharing. The emerging insight related to the value of data strengthens understanding of how companies could, with data, support their customers' environmental performance.
Facing the storm: Lessons from corporate social responsibility during the covid pandemic
Authors: Campobasso Francesco , Borgia Michele Samuele , Albergo Francesco 
Published: June 2023

AbstractThis study analyzes the impact on the sustainability performance of firms during the outbreak of the COVID‐19 pandemic, based on microdata made available by the World Bank through the Enterprise Surveys platform. By employing econometric estimation techniques like multinomial limited dependent variable model alongside data visualization tools, this analysis provides insights into the effects of the pandemic outbreak, as well as the moderating influence of enterprise innovation levels and CSR. The findings highlight that the duration of firm operations and company size play significant roles in mitigating turnover during the initial response to the pandemic. The analysis evaluates the actions taken by companies and governments to navigate the crisis, one and a half years after its appearance: containing the impact has a strong social impact, related to corporate social responsibility. The companies that successfully contained the shock and recovered more quickly are those that relied on innovation through their private investments or government measures. The analysis reveals how evenly distributed government subsidies have failed to produce significant effects.
Activity Trend and Selectivity of Electrochemical Ammonia Synthesis in Reverse Artificial Nitrogen Cycle
Authors: Li Lin , Xiao Jianping 
Published: June 2023

AbstractAmmonia is important for modern agriculture and food production as it is a major source of fertilizer. Electrochemical ammonia synthesis (EAS) with sustainable energy generated electricity and decentralized reactors has been considered as environmentally friendly process. Several nitrogen sources have been considered and intensively studied in experiments and computations. Recently, it has been proposed and demonstrated that nitrogen oxides (NOx) electroreduction for selective ammonia production is feasible. Fundamental insights on experimental observation are necessary for more rational design of catalysts and reactors in the future. In this concept, we review the theoretical and computational insights of electrochemical nitrogen oxides reduction, particularly, the activity trend over diverse transition metal catalysts and products selectivity at varying potentials. Finally, we address the opportunities and challenges in the reverse artificial nitrogen cycle, as well as fundamental issues in electrochemical reaction modelling.
Ultralow‐Temperature SnO2 Electron Transport Layers Fabricated by Intermediate‐Controlled Chemical Bath Deposition for Highly Efficient Perovskite Solar Cells
Authors: Gao Liguo , He Zhen , Zeng Ke , Liu Anmin , Jiang Feng , Ma Tingli 
Published: June 2023

AbstractAs electron transport layers (ETLs) in perovskite solar cells (PSCs), tin oxide (SnO2) possess high carrier mobilities with appropriate energy band alignment and high optical transmittance. Herein, SnO2 ETLs were fabricated by intermediate‐controlled chemical bath deposition (IC‐CBD) at ultralow temperature, where the chelating agent effectively altered the nucleation and growth process. Compared with conventional CBD, SnO2 ETLs fabricated by IC‐CBD had lower defects, smooth surface, good crystallinity, and remarkable interfacial contact with perovskite, resulting in good quality of perovskite, high photovoltaic performance (23.17 %), and enhanced stability of devices.
Targeting α7 nicotinic acetylcholine receptors and their protein interactions in Alzheimer's disease drug development
Authors: Burns Lindsay H. , Pei Zhe , Wang Hoau‐Yan 
Published: June 2023

AbstractThe decades‐old cholinergic hypothesis of Alzheimer's disease (AD) led to clinical testing and FDA approval of acetylcholinesterase inhibitor drugs. Subsequently, the α7 nicotinic acetylcholine receptor (α7nAChR) was proposed as a new drug target for enhancing cholinergic neurotransmission. Nearly simultaneously, soluble amyloid β1‐42 (Aβ42) was shown to bind α7nAChR with picomolar affinity to activate kinases that hyperphosphorylate tau, the precursor to tau‐containing tangles. Multiple biopharmaceutical companies explored α7nAChR as a drug target for AD, mostly to enhance neurotransmission. Directly targeting α7nAChR proved to be a drug development challenge. The ultra‐high‐affinity interaction between Aβ42 and α7nAChR posed a significant hurdle for direct competition in the AD brain. The receptor rapidly desensitizes, undermining efficacy of agonists. Drug discovery approaches therefore included partial agonists and allosteric modulators of α7nAChR. After substantial effort, numerous drug candidates were abandoned due to lack of efficacy or drug‐related toxicities. As alternatives, proteins interacting with α7nAChR were sought. In 2016, a novel nAChR regulator was identified, but no drug candidates have emerged from this effort. In 2012, the interaction of filamin A with α7nAChR was shown to be critical to Aβ42's toxic signaling via α7nAChR, presenting a new drug target. The novel drug candidate simufilam disrupts the filamin A–α7nAChR interaction, reduces Aβ42's high‐affinity binding to α7nAChR, and suppresses Aβ42's toxic signaling. Early clinical trials of simufilam showed improvements in experimental CSF biomarkers and indications of cognitive improvement in mild AD patients at 1 year. Simufilam is currently in phase 3 clinical trials as a disease‐modifying treatment for AD.
Simplifying Raupach's model of shear‐stress partitioning by clarifying the relationship between β and σ and quantifying the shear‐stress probability density based on numerical simulation
Authors: Liu Xuyang , Zhang Chunlai , Wang Zhenting , Zou Xueyong 
Published: June 2023

AbstractWe used computational fluid dynamics to simplify Raupach's model by clarifying the relationship between the parameter β (the ratio of element to surface drag coefficients) and the roughness‐element shape parameter σ using a k‐ω shear‐stress transport (SST) turbulence model with rigid cylindrical roughness elements. Results showed that β ranged between 102 and 242 and the parameter m (a relationship between the average and the peak surface shear stresses) ranged between 0.15 and 0.32 for partitioning of surface shear stress. β decreased with increasing σ, and the relationship followed a power law. We confirmed this relationship by comparing wind tunnel and field measurements for different types of roughness element (blocks, hemispheres, trapezoids and plants based on the results from previous studies). However, the model has some limitations due to the characteristics such as streamline and porosity of plants. The peak mean stress ratio (a) ranged between 2.09 and 3.61. We also confirmed that the probability‐density function for the surface shear stress proposed by Zou et al. (2022) described the distribution of the surface shear stress among roughness elements well, which is essential to accurately estimate surface erosion by wind.
Efficient Channel Estimation in Multiple Input Multiple Output Communication Systems using Hybrid Intelligence‐based Deep Learning Model using Horse Dingo Optimizer
Authors: Manasa B. M. R. , P Venugopal 
Published: June 2023

AbstractThe estimation of the channel in multiple input multiple output (MIMO) systems over wireless communication has faced many challenges, such as high bit rate transmission with less time complexity, low error rate, and high convergence rate. And also, there is some potential for enhancing the system performance regarding channel efficiency diversity. MIMO system uses a huge count of antennas on the receiver and the transmitter side. This increases the cost requirements and power consumption. For achieving coherent detection in the MIMO system, optimization such as water filling and beam forming are required to find the proper channel. Hence, multiple transceivers used in both the transmitter side and receiver side create a channel estimation issue that is complicated when analyzed to a single input, single output system. Therefore, several solutions have been recommended to decrease the computational cost and power consumption in channel estimation of MIMO systems. This work intends to propose a novel deep structured architecture to handle the channel estimation problem in a MIMO system. The major objective of the developed method is to validate the channel coefficients of MIMO at the transmitter according to the obtained SNR feedback data packet from an acceptor with the help of the hybrid intelligence‐based deep learning model (HI‐DLM). For both scenarios, the HI‐DLM is introduced, in which the convolution neural network (CNN) is integrated with other deep‐structured architecture. Especially, the fully connected layers of CNN are restored by the long short‐term memory. In the HI‐DLM‐aided channel estimation, the hyperparameter optimization is accomplished by the novel dingo‐horse herd optimization for reducing the mean square error and bit error rate to acquire the estimated channel. The corresponding algorithm is validated on the communication of the MIMO system by experimentations. Thus, it is revealed that the offered algorithm provides better convergence and less computational cost.
Predicting zinc‐enhanced maize hybrid performance under stress conditions
Authors: Matongera Nakai , Ndhlela Thokozile , van Biljon Angeline , Labuschagne Maryke 
Published: June 2023

AbstractThe low yield potential of most biofortified maize is a barrier to its full adoption and reduces its potential to curb various macro‐ and micronutrient deficiencies highly prevalent in low‐income regions of the world, such as sub‐Saharan Africa (SSA). By crossing biofortified inbred lines with different nutritional attributes such as zinc (Zn), provitamin A and protein quality, breeders are attempting to develop agronomically superior and stable multi‐nutrient maize of different genetic backgrounds. A key question, however, is the relationship between the biofortified inbred lines per se and hybrid performance under stress and non‐stress conditions. In this study, inbred line per se and testcross performance were evaluated for grain yield and secondary traits of Zn‐enhanced normal, provitamin A and quality protein maize (QPM) hybrids and estimated heterosis under combined heat and drought (HMDS) and well‐watered (WW) conditions. Responses of all secondary traits, except for the number of days to mid‐anthesis, significantly differed for HMDS and WW conditions. The contribution of heterosis to grain yield was highly significant under both management levels, although higher mid and high‐parent heterosis was observed under WW than HMDS conditions. However, the findings suggest that inbred line performance was the best determinant of hybrid performance under HMDS. Strong correlations were observed between grain yield and secondary traits for both parents and hybrids, and between secondary traits of inbred lines and hybrids under both management levels, indicating that hybrid performance can be predicted based on intrinsic inbred line performance. Phenotypic correlation between grain yield of inbred lines and hybrids was higher under HMDS than WW conditions. This study demonstrated that under HMDS conditions, performance of Zn‐enhanced hybrids could be predicted based on the performance of their corresponding inbred lines. However, the parental inbred lines should be systematically selected for desirable secondary traits correlated with HMDS tolerance during inbred line development.