bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does China improve social welfare after implementing the national volume-based procurement?
Authors: Wang Huan , Huo Ya-Tong , Zhuang Qian 
Published: October 2023

Objective: To explore the changes in social welfare before and after the implementation of the national volume-based procurement (NVBP). Explore whether the NVBP promotes the healthy development of manufacturers under the premise of benefiting patients. Then put forward relevant suggestions on how to effectively intervene the government in the pharmaceutical market.Methods: Starting with consumer surplus and producer surplus, social welfare was studied from the three perspectives of price, supply, and demand.Results: Consumer surplus was significantly increased, and the drug welfare of patients was significantly improved. The profits of the whole pharmaceutical industry have decreased but will increase in the future. The welfare of individual pharmaceutical enterprises varies. Overall social welfare has been significantly improved.Conclusion: The core purpose of the NVBP is to improve the medication welfare of patients, and through the increase of consumer surplus, it can affect the increase of producer surplus. Under such a linkage mechanism, the diversified linkage system of “price, demand, and supply” will achieve the effect of “1 + 1+1 &gt; 3”.
Effects of sub-lethal doses of fentanyl on vital physiologic functions and withdrawal-like behaviors in adult goats
Authors: Neumueller Suzanne E. , Buiter Nicole , Hilbert Grace , Grams Kirstyn , Taylor Reiauna , Desalvo John , Hodges Grace L. , Hodges Madeline M. , Pan Lawrence G. , Lewis Stephen J. , Forster Hubert V. , Hodges Matthew R. 
Published: October 2023

Synthetic opioids like fentanyl have improved the standard of care for many patients in the clinical setting, but their abuse leads to tens of thousands of overdose deaths annually. The current opioid epidemic underscores a critical need for insights into the physiological effects of fentanyl on vital functions. High doses of opioids in small mammals cause opioid-induced respiratory depression (OIRD) leading to hypoventilation, hypoxemia, and hypercapnia. In addition, opioids can also increase the alveolar to arterial oxygen (A-a) gradient and airway dysfunction. However, little is known about the physiologic effects of sub-lethal doses of opioids in large mammals. Here we report the effects of a sub-lethal dose range of fentanyl (25–125 μg/kg; IV) on vital physiologic functions over 90 min (min) and withdrawal-like behaviors over the subsequent 4 h (h) in adult female goats (n = 13). Fentanyl induced decreases in breathing frequency in the first few min post-injection, but then led to a sustained increase in tidal volume, total ventilation, and blood pressure with a reduced heart rate for ≥90 min. These ventilatory changes resulted in time-dependent arterial hypocapnia and hypoxemia and an increased alveolar to arterial oxygen gradient ∼30 min post-injection indicative of impaired gas exchange in the lung. The predominant effects of fentanyl on breathing were stimulatory, underscored by an increased rate of rise of the diaphragm muscle activity and increased activation of upper airway, intercostal and abdominal muscles. Beginning 90 min post-injection we also quantified withdrawal-like behaviors over 4 h, demonstrating dose- and time-dependent increases in locomotor, biting, itching, and pawing behaviors. We conclude that fentanyl at sublethal doses induces multiple physiologic and behavior changes that emerge along different time courses suggesting multiple independent mechanisms underlying effects of opioids.
Impact of rising temperatures on historical wheat yield, phenology, and grain size in Catalonia
Authors: Gulino Davide , Sayeras Roser , Serra Joan , Betbese Josep , Doltra Jordi , Gracia-Romero Adrian , Lopes Marta S. 
Published: October 2023

IntroductionClimate change poses significant challenges to agriculture, impacting crop yields and necessitating adaptive strategies in breeding programs. This study investigates the genetic yield progress of wheat varieties in Catalonia, Spain, from 2007 to 2021, and examines the relationship between genetic yield and climate-related factors, such as temperature. Understanding these dynamics is crucial for ensuring the resilience of wheat crops in the face of changing environmental conditions.MethodsGenetic yield progress was assessed using a linear regression function, comparing the average yield changes of newly released wheat varieties to benchmark varieties. Additionally, a quadratic function was employed to model genetic yield progress in winter wheat (WW). The study also analyzed correlations between genetic yield (GY) and normalized values of hectoliter weight (HLW) and the number of grains (NG) for both spring wheat (SW) and WW. Weather data were used to confirm climate change impacts on temperature and its effects on wheat growth and development.ResultsThe study found that genetic yield was stagnant for SW but increased linearly by 1.31% per year for WW. However, the quadratic function indicated a possible plateau in WW genetic yield progress in recent years. Positive correlations were observed between GY and normalized values of HLW and NG for both SW and WW. Climate change was evident in Catalonia, with temperatures increasing at a rate of 0.050 °C per year. This rise in temperature had detrimental effects on days to heading (DH) and HLW, with reductions observed in both SW and WW for each °C increase in annual minimum and average temperature.DiscussionThe findings highlighted the urgent need to address the impact of climate change on wheat cultivation. The stagnation of genetic yield in SW and the potential plateau in WW genetic yield progress call for adaptive measures. Breeding programs should prioritize phenological adjustments, particularly sowing date optimization, to align with the most favorable months of the year. Moreover, efforts should be made to enhance HLW and the number of grains per unit area in new wheat varieties to counteract the negative effects of rising temperatures. This research underscores the importance of ongoing monitoring and adaptation in agricultural practices to ensure yield resilience in the context of a changing climate.
Genetic diversity of Coffea arabica L. mitochondrial genomes caused by repeat- mediated recombination and RNA editing
Authors: Ni Yang , Zhang Xinyi , Li Jingling , Lu Qianqi , Chen Haimei , Ma Binxin , Liu Chang 
Published: October 2023

BackgroundCoffea arabica L. is one of the most important crops widely cultivated in 70 countries across Asia, Africa, and Latin America. Mitochondria are essential organelles that play critical roles in cellular respiration, metabolism, and differentiation. C. arabica’s nuclear and chloroplast genomes have been reported. However, its mitochondrial genome remained unreported. Here, we intended to sequence and characterize its mitochondrial genome to maximize the potential of its genomes for evolutionary studies, molecular breeding, and molecular marker developments.ResultsWe sequenced the total DNA of C. arabica using Illumina and Nanopore platforms. We then assembled the mitochondrial genome with a hybrid strategy using Unicycler software. We found that the mitochondrial genome comprised two circular chromosomes with lengths of 867,678 bp and 153,529 bp, encoding 40 protein-coding genes, 26 tRNA genes, and three rRNA genes. We also detected 270 Simple Sequence Repeats and 34 tandem repeats in the mitochondrial genome. We found 515 high-scoring sequence pairs (HSPs) for a self-to-self similarity comparison using BLASTn. Three HSPs were found to mediate recombination by the mapping of long reads. Furthermore, we predicted 472 using deep-mt with the convolutional neural network model. Then we randomly validated 90 RNA editing events by PCR amplification and Sanger sequencing, with the majority being non-synonymous substitutions and only three being synonymous substitutions. These findings provide valuable insights into the genetic characteristics of the C. arabica mitochondrial genome, which can be helpful for future study on coffee breeding and mitochondrial genome evolution.ConclusionOur study sheds new light on the evolution of C. arabica organelle genomes and their potential use in genetic breeding, providing valuable data for developing molecular markers that can improve crop productivity and quality. Furthermore, the discovery of RNA editing events in the mitochondrial genome of C. arabica offers insights into the regulation of gene expression in this species, contributing to a better understanding of coffee genetics and evolution.
Digital storytelling intervention to enhance social connections and participation for people with mild cognitive impairment: a research protocol
Authors: Zhu Di , Al Mahmud Abdullah , Liu Wei 
Published: October 2023

IntroductionInterventions utilizing the principles of digital storytelling can improve cognitive ability by cultivating positive emotions and framing a new way to enhance social participation among people with mild cognitive impairment. However, existing research has understudied group-based storytelling, focusing instead on building individual stories and connections with family and friends. In response to this research gap, this paper proposes co-designing a digital storytelling intervention for people with Mild Cognitive Impairment (MCI) to enhance their social participation and build meaningful connections.MethodsWe will conduct two co-design workshops with people with MCI (n = 12), their caregivers (n = 4–12), and therapists (n = 5) in Beijing, China, to facilitate the co-development of the digital storytelling application. During the first workshop, we will utilize card sorting and voting to define potential facilitators of social participation, identifying the abilities people with MCI want to improve through storytelling. During the second workshop, we will build on these findings to facilitate people with MCI and their caregivers to visualize the interfaces. After reflexive thematic analysis of the co-design workshops, we will develop a digital storytelling application and test its usability and efficacy among people with MCI and therapists, respectively. A single-blinded field test will be conducted with 20 community-dwelling adults with MCI (Age: 65+). The testing will consist of an intervention group of 10 participants who use the co-designed digital storytelling intervention and a control group of 10 participants who will not use the co-designed intervention on the waiting list. The intervention period will extend over 7 weeks, with individual intervention sessions lasting 30 min. We will evaluate its efficacy in terms of social participation, social connectedness, self-efficacy, subjective sense of happiness, and user experience of people with MCI.DiscussionThis study will examine an innovative digital storytelling intervention to enhance social participation among people with MCI. This study is expected to advance the concept of community-centric social groups in social health service contexts by integrating technological solutions with the self-identified needs and lived experiences of people with MCI, increasing the motivation of people with MCI to cultivate social participation.Ethics and disseminationSwinburne University of Technology’s Human Research Ethics Committee gave ethics approval for this research (Approval Number: 20226525-11105; Date: 26/09/2022). Our findings shall be reported in peer-reviewed journal articles and at relevant conferences.
Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning
Authors: Sun Haoran , Wang Lixia , Daskivich Timothy , Qiu Shihan , Han Fei , D'Agnolo Alessandro , Saouaf Rola , Christodoulou Anthony G. , Kim Hyung , Li Debiao , Xie Yibin 
Published: October 2023

PurposeTo develop a deep learning-based method to retrospectively quantify T2 from conventional T1- and T2-weighted images.MethodsTwenty-five subjects were imaged using a multi-echo spin-echo sequence to estimate reference prostate T2 maps. Conventional T1- and T2-weighted images were acquired as the input images. A U-Net based neural network was developed to directly estimate T2 maps from the weighted images using a four-fold cross-validation training strategy. The structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), mean percentage error (MPE), and Pearson correlation coefficient were calculated to evaluate the quality of network-estimated T2 maps. To explore the potential of this approach in clinical practice, a retrospective T2 quantification was performed on a high-risk prostate cancer cohort (Group 1) and a low-risk active surveillance cohort (Group 2). Tumor and non-tumor T2 values were evaluated by an experienced radiologist based on region of interest (ROI) analysis.ResultsThe T2 maps generated by the trained network were consistent with the corresponding reference. Prostate tissue structures and contrast were well preserved, with a PSNR of 26.41 ± 1.17 dB, an SSIM of 0.85 ± 0.02, and a Pearson correlation coefficient of 0.86. Quantitative ROI analyses performed on 38 prostate cancer patients revealed estimated T2 values of 80.4 ± 14.4 ms and 106.8 ± 16.3 ms for tumor and non-tumor regions, respectively. ROI measurements showed a significant difference between tumor and non-tumor regions of the estimated T2 maps (P &lt; 0.001). In the two-timepoints active surveillance cohort, patients defined as progressors exhibited lower estimated T2 values of the tumor ROIs at the second time point compared to the first time point. Additionally, the T2 difference between two time points for progressors was significantly greater than that for non-progressors (P = 0.010).ConclusionA deep learning method was developed to estimate prostate T2 maps retrospectively from clinically acquired T1- and T2-weighted images, which has the potential to improve prostate cancer diagnosis and characterization without requiring extra scans.
Arthrofibrosis risk factors after anterior cruciate ligament reconstruction
Authors: Dauty Marc , Menu Pierre , Grondin Jérôme , Crenn Vincent , Daley Pauline , Fouasson-Chailloux Alban 
Published: October 2023

IntroductionKnee arthrofibrosis is a disabling complication after anterior cruciate ligament reconstruction (ACLr). Different risk factors have been studied but are still controversial because of a diagnosis made only during reoperations for the treatment of the stiffness, which underestimates the occurrence rate. We aimed to confirm risk factors of arthrofibrosis after ACLr in case of clinically made diagnoses.MethodsNinety-two athletes with clinically diagnosed arthrofibrosis, complicating a primary ACLr, were compared to 482 athletes with ACLr without any complications. Usually considered risk factors were studied: age under 18, female, Body Mass Index (BMI ≥ 25), high sport level, time from ACL injury to ACLr &lt; 1 month, Bone-Patella-Tendon-Bone surgical procedure (BPTB), meniscal repair, and intensive rehabilitation. Binary logistic regression was carried out to confirm or refute these risk factors.ResultsFemale, time from ACL injury to ACLr &lt; 1 month, BPTB procedure, meniscal repair, and BMI ≥ 25 were not confirmed as risk factors. Previous competitive sport level assessed by Tegner score was the only risk factor identified, OR: 3.56 (95%IC: 2.20–5.75; p = 0.0001). Age &lt; 18, OR: 0.40 (95%IC: 0.19–0.84; p = 0.015) and inpatient rehabilitation program, OR: 0.28 (95%IC: 0.17–0.47; p = 0.0001), were protective factors.DiscussionCompetitive athletes are at risk of arthrofibrosis after ACLr and should benefit from protective inpatient rehabilitation program.
Characteristics of Biogas Production Activity and Microbial Community during Sub-Moderate Temperature Anaerobic Digestion of Wastewater
Authors: Wu Jingwei , Zhang Huan , Zhao Ye , Yuan Xufeng , Cui Zongjun 
Published: October 2023

Sub-moderate temperature (ranging from low to moderate temperature) anaerobic digestion (AD) could balance fermentation efficiency and energy input. We investigated biogas production and the microbial community in wastewater AD at sub-moderate (15 °C, 20 °C, and 25 °C) and moderate (35 °C; control group) temperatures with the organic loading rate (OLR) incrementally increased over 200 days. The impact of temperature on biogas production was found to be minimal at a low OLR but became more significant at a high OLR. Notably, a temperature threshold ranging from 15 °C to 20 °C exerted a strong inhibitory effect on biogas production and disrupted the microbial community. And, SMT-AD is deemed by this study to be the optimal application strategy of wastewater with low temperature and low OLR. Bacterial richness was positively and linearly related to temperature. There is a relevance between methane production and archaeal diversity under the influence of temperature and OLR. Temperature and OLR shaped the ecological function of predominant bacteria. Anaerolineales, Thermotogales, and Lactobacillales were strongly influenced by temperature. Synergistales had a synergistic relationship with Desulfovibrionales. Clostridiales was responsible for acetate and butyrate production and closely related to Lactobacillales. Acetoclastic Methanosaetaceae was the predominant methanogen. Methanogens could survive and maintain their population even though methanogenesis was limited under high OLRs and low temperatures.
The F/DR-D-10 Algorithm: A Novel Heuristic Strategy to Solve the Minimum Span Frequency Assignment Problem Embedded in Mobile Applications
Authors: Páez-Rueda Carlos-Iván , Fajardo Arturo , Pérez Manuel , Yamhure German , Perilla Gabriel 
Published: October 2023

Wireless communication supports various real-world applications, such as aeronautical navigation, satellite and TV broadcasting, wireless LANs, and mobile communications. The inherent characteristics of the electromagnetic spectrum impose constraints on telecommunication channels and their frequency bandwidths within mobile networks. A persistent challenge in these applications is providing high-demand services to mobile users, where frequency assignment problems, also known as channel assignment problems, assume significance. Researchers have developed several modeling approaches to address different facets of this problem, including the management of interfering radio signals, the assessment of available frequencies, and optimization criteria. In this paper, we present improved algorithms for solving the Minimum Span Frequency Assignment Problem in mobile communication systems using the greedy optimization approach known as F/DR. We solved and evaluated twenty well-known benchmark cases to assess the efficacy of our algorithms. Our findings consistently demonstrate that the modified algorithms outperform the F/DR approach with comparable computational complexity. The proposed algorithm notably achieves the following benchmarks: The modified algorithms consistently produce at least one local optimum better than the traditional algorithm in all benchmark tests. In 95% of the benchmarks evaluated, the probability of discovering a local optimum value (calculated by the modified algorithm) that is better than or equal to the one found by the conventional algorithm exceeds 50%.
The role of physical activity in reducing blood pressure
Authors: Aissa Ghouini , Houssine Aggoun 
Published: October 2023

Although the benefits of sports physical activity and its positive effects on health were not of the present day, many scientific studies and experimental observations whose results confirmed the strength of the relationship between lack of physical activity and health, and this was done by studying the negative effects of physical inactivity, Based on the results of studies conducted on a large number of people, they confirmed the existence of a relationship between physical inactivity and the incidence of many diseases of the age, and indicated the preventive and curative role that physical activity contributes to confronting many chronic diseases.
The aim of the study was to highlight the lack of sports physical activity as a risk factor in high blood pressure, and therefore we can say that physical activity has an effective role in maintaining the level of blood pressure in the ideal case. It was proven by the results of the field study, and our strong belief in the effective role of physical activity in combating high blood pressure prompted us to do this study, so it is better for it to be so or more than that for university students, as they constitute a pivotal and essential part of society, and we are certain of the importance of this The category in spreading health awareness was part of our research project, through which we highlighted the effectiveness of dynamic physical activity in the primary prevention of high blood pressure and its impact on the health of other organs such as: pulmonary, respiratory, circulatory, muscular..
Impact of epitaxial strain relaxation on ferromagnetism in a freestanding La2
/
3Sr1
/
3MnO3 membrane
Authors: Atsumi Ryuji , Shiogai Junichi , Yamazaki Takumi , Seki Takeshi , Ueda Kohei , Matsuno Jobu 
Published: October 2023

Abstract
Manganite perovskites host emerging physical properties of strongly-correlated electrons with charge, spin, and lattice degrees of freedom. Using the epitaxial lift-off technique, we report enhancement of saturation magnetization and the ferromagnetic transition temperature of freestanding La2/3Sr1/3MnO3 membrane compared with as-grown film on SrTiO3 substrate involving lateral tensile strain. Structural analysis reveals shrinkage of unit-cell volume by tensile strain relaxation in the freestanding membrane, which causes enhancement of the ferromagnetic interaction. The impact of the microscopic lattice deformation on the ferromagnetism of La2/3Sr1/3MnO3 indicates a high potential of this material for flexible electronics applications with intriguing functionalities in strongly-correlated electron systems.
First Results for Solar Soft X-Ray Irradiance Measurements from the Third-generation Miniature X-Ray Solar Spectrometer
Authors: Woods Thomas N. , Schwab Bennet , Sewell Robert , Telikicherla Kandala Anant Kumar , Mason James Paul , Caspi Amir , Eden Thomas , Chandran Amal , Chamberlin Phillip C. , Jones Andrew R. , Kohnert Richard , Moore Christopher S. , Solomon Stanley C. , Warren Harry 
Published: October 2023

Abstract
Three generations of the Miniature X-ray Solar Spectrometer (MinXSS) have flown on small satellites with the goal “to explore the energy distribution of soft X-ray (SXR) emissions from the quiescent Sun, active regions, and during solar flares, and to model the impact on Earth’s ionosphere and thermosphere.” The primary science instrument is the Amptek X123 X-ray spectrometer that has improved with each generation of the MinXSS experiment. This third-generation MinXSS-3 has a higher energy resolution and larger effective area than its predecessors and is also known as the Dual-zone Aperture X-ray Solar Spectrometer (DAXSS). It was launched on the INSPIRESat-1 satellite on 2022 February 14, and INSPIRESat-1 has successfully completed its 6 month prime mission. The INSPIRESat-1 is in a dawn–dusk, Sun-synchronous orbit and therefore has had 24 hr coverage of the Sun during most of its mission so far. The rise of Solar Cycle 25 has been observed by DAXSS. This paper introduces the INSPIRESat-1 DAXSS solar SXR observations, and we focus the science results here on a solar occultation experiment and multiple flares on 2022 April 24. One key flare result is that the reduction of elemental abundances appears greatest during the flare impulsive phase, thus highlighting the important role of chromospheric evaporation during flares to inject warmer plasma into the coronal loops. Furthermore, these results are suggestive that the amount of chromospheric evaporation is related to flare temperature and intensity.