bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction of the core symptom cluster management program for patients with lung cancer undergoing chemotherapy: a Delphi study
Authors: Zhang Le , Luo Yuanyuan , Mao Dongmei , Zhu Benxiang , Yang Zhihui , Cui Cui , Miao Jingxia , Zhang Lili 
Published: June 2024

Abstract

Background: In recent years, the incidence of cancer has been on the rise worldwide due to environmental pollution, poor lifestyle habits, and increasing medical diagnoses. In China, the incidence and mortality of lung cancer both rank first among malignant tumors. In the process of cancer diagnosis and treatment, patients with lung cancer experience a serious symptom burden. Inadequate symptom management will aggravate the physical and mental pain of patients, and even delay or interrupt the treatment of the disease. Therefore, it is urgent to provide scientific symptom management programs for medical staff and patients with lung cancer.
Objective: To construct the core symptom cluster management program for patients with lung cancer undergoing chemotherapy.
Methods: Under the guidance of Symptom Management Theory, the draft program was formed through the literature supplement and clinical expert meeting based on the best evidence summary, and the final program was formed after two rounds of Delphi with 17 experts.
Results: The draft program contains 35 entries in 3 time dimensions and 16 intervention dimensions. The final program, formed after two rounds of Delphi, consists of 12 entries in 7 different dimensions. In both rounds, Delphi issued and recovered 17 questionnaires, and the recovery rate was 100%. The expert authority coefficient was 0.888. The submission rate of expert opinions was 82.35% and 58.82%. The mean values of importance were 3.765-4.647 and 4.410-4.820. The full score frequency was 23.5-76.5 and 58.8-88.2. The coefficient of variation was 0.130-0.280 and 0.110-0.197. The Kendall’s W was 0.467 and 0.523, P < 0.05. The expert approval rate for the clinical usability of each item was 94.1%-100%.
Conclusion: Under the guidance of Symptom Management Theory, the core symptom cluster management program for patients with lung cancer undergoing chemotherapy established in this study is scientific and credible, with clinical operability, and can guide medical staff and patients with lung cancer to carry out symptom management in complex clinical environments.
The Effects of Sodium Fructose Diphosphate on Coagulation Factor Activity Tests in vitro
Authors: Zhang Yalong , Zhong Xingguo , Chen Lu , Zhou Lin , Zhang Ying , Fang Yuan , Chen Tongqing 
Published: June 2024

Abstract

Sodium fructose diphosphate(FDP) is widely used in the treatment of patients with a variety of diseases and is highly effective. However, we have seen very few reports on the toxicity or adverse effects of this drug, and we know even less about the effects of this drug on the coagulation system. The results of our previous study showed that the drug had a significant effect on the four coagulation parameters (prothrombin time, PT; activated partial thromboplastin time, aPTT; fibrinogen, FBG; and thrombin time, TT) and platelet aggregation function. In the present study, it was found that FDP significantly prolonged the coagulation reaction time (R), a parameter routinely detected by thromboelastogram (TEG) testing systems produced by three different manufacturers, in vitro experiments. Further studies revealed that the drug had a significant inhibitory effect on the activity of coagulation factors V, VII, IX, Ⅺ, and Ⅻ, whereas it had no effect on the activity of factors II, VIII, and X. We conclude that FDP has a significant inhibitory effect on coagulation factors V, VII, IX, Ⅺ and Ⅻ activity, and thus it may really affect the function of our coagulation system.
Fasting Blood glucose on Prognosis after Acute Large Vessel Occlusion Reperfusion -A Multi-Center Study Based on Propensity Score Matching
Authors: luo bin , xiang yi , meng fanlei , wang yubo , zhang zhenzhong , ren hecheng , ma lin 
Published: June 2024

Abstract

Background
Whether hyperglycemia affects the prognosis of patients with acute large vessel occlusion (ALVO) is still controversial. In addition, hyperglycemia is increasingly common, so we analyzed the impact of fasting plasma glucose level on functional outcome after reperfusion in patients with ALVO.
Methods
The data of 2056 patients were retrospectively analyzed. The relationship between the average fasting blood glucose 24 hours after recanalization and prognosis was analyzed.
Results
(1) 892 patients were finally enrolled by nearest neighbor matching method. After matching, there were no significant differences in gender, age, preoperative modified Rankin Scale (preoperative-mRS), and diabetes history between the two groups. (2) With 90-day modified Rankin Scale (90-day mRS) as the outcome variable, comparing the factors of good prognosis group and poor prognosis group showed that the older the age, the higher the proportion of poor prognosis (P = 0.014); Patients with diabetes had a higher proportion of poor prognosis (30.8% vs 14.5%, P < 0.001). The MFBG in the poor prognosis group was higher than that in the good prognosis group (P < 0.001). (3) Cox regression analysis showed that: MFBG is an independent risk factor for poor prognosis; When MFBG was > 7 mmol/L, the rate of poor prognosis was 1.139 times higher than MFBG was ≤ 7 mmol/L [OR (95% CI) = 1.139 (1.055,1.229), P < 0.001].
Conclusion
Fasting blood glucose levels 24 hours after reperfusion in patients with ALVO can serve as a predictive marker for prognosis. Controlling blood glucose levels below 7 mmol/L may reduce the rate of adverse outcomes in these patients.
Trial registration
This study is a multicenter retrospective study, there is no registration were retrospectively.
Projected changes in wind speed and wind energy resources over the Persian Gulf based on bias corrected CMIP6 models
Authors: Gohari Amirmahdi , Akpınar Adem 
Published: June 2024

Abstract

This study investigates future wind speed and wind energy changes in the Persian Gulf using a multi-model ensemble mean (MMM) derived from 20 CMIP6 models under the SSP5-8.5 scenario. ERA5 reanalysis wind speed data for the historical period (1995–2015) is compared to projections for the near-future (2040–2059) and far-future (2080–2099). Quantile mapping based on Weibull distribution as a bias correction technique applied to the raw future data to obtain more reliable projections. Results show suitable wind conditions for power generation are expected to increase slightly, by 1.16% in the near future and 0.75% in the far future. However, average annual wind speed and wind power density are projected to decrease by up to 2% and 7% respectively. The winter season is consistently shown to have the highest average wind speed, projected to increase over 5–7% in the future. Spatial analysis identifies current and future wind energy hot spots, with a northward shift by the far future. Assessments of variability over time highlight potential future alterations. The future change analysis reveals irregular regional shifts, indicating decreases in wind strength nearshore in the northern Gulf, while the southern part may experience increases, suggesting a promising trend for wind energy potential there.
Refining the first global strategy for the occupational therapy workforce: results from a mixed-methods survey and multimodal expert feedback
Authors: Jesus Tiago S. , Zweck Claudia , Larson Sydney , Bhattacharjya Sutanuka , Kamalakannan Suresh , Mani Karthik , Ledgerd Ritchard 
Published: June 2024

Abstract

Background
The occupational therapy workforce remains underdeveloped and inequitably distributed, against the backdrop of increasing population needs. The World Federation of Occupational Therapists (WFOT) led a multistage development process to launch the first global strategy for this workforce. An initial draft Strategy was previously reviewed for utility by country representatives, then redrafted. Here, we assess the perceived utility of the redrafted Strategy for refinements before its launch.
Methods
Mixed-methods online survey of country representatives (e.g., delegates to the WFOT) complemented by experts’ feedback, including from outside the profession. The survey asked for a utility rating (0–10) for each strategic direction (n = 7) and associated specific actions (total n = 21). A comment box was provided for scoring rationale, concerns, or improvement suggestions. Experts that were previously engaged in a situational analysis provided improvement suggestions for the Strategy, first in writing individually and then through an online focus group. Data was analyzed by descriptive statistics (e.g., average scores > 8 considered high) and thematic analyses.
Results
Forty-five country representatives (45%) completed the surveys, 40% from low- and middle-income countries (LMICs). All major strategies (average ranges: [9.13–9.33]; SD ranges: [0.80–1.20]) and specific strategies (average ranges: [8.29–9.33]; SD ranges: [0.87–2.03]) received high utility scores. The mode value was “10” for all items. From the survey comments, the central theme was: “account for context-sensitive priorities”. From the experts’ feedback, the central theme was: “provide additional framing”, such as contextualizing the Strategy as a global framework that helps guide but does not dictate local priorities or action plans.
Conclusions
The strategies for the global strengthening of the occupational therapy workforce were positively appraised by country representatives. Altogether, the multimethod, multi-stakeholder evaluation helped refine the Strategy and tailor its report according to the feedback of global experts and its potential end-users. It also provided insights on the need for context-specific implementation plans.
Oxidative Stress and Vitamin D Levels in Autism Spectrum Disorders: An Original Clinical Investigation
Authors: Savas Hasan Basri , Sayar Ersin , Kara Tayfun 
Published: June 2024

Abstract

Introduction:
The etiology of Autism Spectrum Disorder (ASD) is thought to be complex. Increasing evidence in the literature shows that oxidative stress plays a role in the development and prognosis of autism. In our study, we aimed to investigate whether thiol disulfide balance, which is a new marker of oxidative stress, is different from that in normal children with autism spectrum disorder.
Methods
A total of 68 children, 38 with autism spectrum disorder and 30 healthy controls, were included in the study. Dynamic thiol balance, total oxidant status, total antioxidant status, ischemia-modified albumin, paraoxonase 1, and arylesterase activities were measured using colorimetric methods. Routine biochemical parameters were obtained from their files and evaluated.
Results
In the case group with autism spectrum disorder, compared with the control group, lower levels of vitamin D, paraoxonase 1, total thiol, and native thiol (p < 0.05) and higher levels of ischemia- modified albumin, total oxidant state, and high oxidative stress index (p < 0.05) were significantly determined.
Conclusions
There is a significant difference between autism spectrum disorder (ASD) and oxidative stress increase, antioxidant capacity decrease, and dynamic thiol balance. If these data are supported by new studies with wider participation and multi-center, it can be expected that the dynamic thiol balance and other related parameters will come to the fore as laboratory markers in the etiology, diagnosis, and treatment follow-up of autism.
Cumulative Impact of Herbicides and Tillage in Conservation Agriculture on Soil Microbiome, Fungal Diversity and Crop Productivity
Authors: Nthebere Knight , Prakash Tata Ram , Bhimireddy Padmaja , Chandran Latha P. , Gudapati Jayasree , Admala Meena , Yadav Manikyala Bhargava Narasimha 
Published: June 2024

Abstract

In a diversified cropping system, the kinds of tillage methods and weed management practices significantly influence soil microbiome, which affects crop productivity. The synergetic impacts of such practices on soil microbiome in association with yield under diverse crop rotation with conservation agriculture (CA) have not been extensively explored thus far in Southern India. Thus, a CA experiment was undertaken to investigate the impact of tillage and weed management on soil microbiome and fungal diversity at 30 days after sowing (DAS) and tasseling stage (60 DAS) of maize (in the 8th crop cycle) and to monitor yield. Three tillage practices; T1:CT(C)-CT(M)-fallow(NSr), T2:CT(C)-ZT(M)-ZT(Sr) and T3:ZT(C) + SrR-ZT(M) + CR-ZT(Sr) + MS and weed control tactics involved; W1-Chemical weed control, W2-Herbicide rotation (in alternative year), W3- Integrated weed management (IWM) and W4-Single hand-weeded control were laid-out in split-plot design. Rhizosphere soil and rhizoplane samples were collected from the respective plots at 30 DAS after herbicides application and tasseling stage (60 DAS). Analysis for microbial population and fungal diversity, enzyme and microbial activities was done duly following standard procedures. The salient findings indicated; a decline in enzyme activities, microbial population, microbial activities at initial stages (30 DAS) due to impact of herbicides which later on increased by tasseling. These biological properties were higher under T3 and W4, followed by IWM except metabolic quotient (qCO2) which showed a decreasing trend relative to T1, T2 and W1, W2 at both sampling stages of maize. Kernel yield (KY) and System yield (SY) were enhanced by T3 and IWM, herbicides treated plots (W1 and W2) compared to T1, T2 and W4. Talaromyces flavus, a beneficially rhizosphere micro-inhabitant was identified under T3 in combination with IWM. Considering both crop productivity and soil biological assessment, T3 and IWM were considered the best treatment combinations among all others with SY (4453 kg ha− 1). These findings signify the importance of adopting reduced tillage (T3) and IWM to achieve sustainable biodiversity and food security. This will further help the farmers and the policy makers to deeply understand the effectiveness of developing sustainable and eco-friendly tillage practice and weed control strategy for improving soil health and bolstering sustained crop productivity.
Key features of the innate immune response is mediated by the immunoproteasome in microglia
Authors: Izadjoo Salman , Moritz Kasey E. , Khayrullina Guzal , Bergman Elizabeth M. , Melvin Brendan M. , Stinson Matthew W. , Paulson Summer G. , McCormack Nikki M. , Anderson Kelsey N. , Lewis Lunndon A. , Rotty Jeremy D. , Burnett Barrington G. 
Published: June 2024

Abstract

Microglia are the resident immune cells of the central nervous system (CNS). We and others have shown that the inflammatory response of microglia is partially regulated by the immunoproteasome, an inducible form of the proteasome responsible for the generation of major histocompatibility complex (MHC) class I epitopes. While the role of the proteasome in the adaptive immune system is well established, emerging evidence suggests the immunoproteasome may have discrete functions in the innate immune response. Here, we show that inhibiting the immunoproteasome reduces the IFNγ-dependent induction of complement activator C1q, suppresses phagocytosis, and alters the cytokine expression profile in a microglial cell line and microglia derived from human inducible pluripotent stem cells. Moreover, we show that the immunoproteasome regulates the degradation of IκBα, a modulator of NF-κB signaling. Finally, we demonstrate that NADH prevents induction of the immunoproteasome, representing a potential pathway to suppress immunoproteasome-dependent immune responses.
Fungal Alkaloids Mediate Defense Against Bruchid Beetles in Field Populations of an Arborescent Ipomoea
Authors: Prado Alberto , Pineda-Solis Susana , Garibay-Orijel Roberto , Windsor Donald , Boevé Jean-Luc 
Published: June 2024

Abstract

Many Convolvulaceae species harbor heritable fungal endophytes from which alkaloids are translocated to reproductive tissues of the plant host. Evidence for the distribution and ecological role of these fungal alkaloids, however, is lacking or incomplete for many host species and growth forms. Here we report on the quantities of alkaloids present in the leaves and seeds of the arborescent morning glory, Ipomoea murucoides (Convolvulaceae). Young leaf samples taken from the wild harbored one of two fungal taxa. Seeds had higher concentrations of the indolizidine alkaloid swainsonine than leaves. Additionally, seeds from trees harboring Ceramothyrium (Chaetothyriales) fungi exhibited less bruchid damage and had higher concentrations of swainsonine than seeds from trees harboring Truncatella (Xylariales) fungi. Five sesquiterpenes were detected in the leaf trichomes of both types of trees. The seed content of the nortropane alkaloids, tropine and tropinone, did not differ significantly among the two fungal symbionts. Overall, our field data support the defensive-symbiosis hypothesis for swainsonine as proposed by Clay (2014) where the fungal partner supplies chemical defenses to the host. It is likely that the host allocates the defensive chemicals from leaves to seeds, protecting them from seed predators such as bruchid beetles.
Can You Vary the Cassowary? Using Multiple Measures to Assess and Compare Casuarius Activity in Human Care
Authors: Cooper-Rogers Bridget , Partoon Justine , Fernandez Eduardo J. 
Published: June 2024

Abstract

Little is known about cassowary behavior, thus making our understanding of their welfare needs in human care limited. Our study compared several welfare-related behavior metrics between two Southern cassowaries located at Adelaide Zoo. A 16 behavior, seven class ethogram, Shannon’s behavioral diversity index, and habitat use heat maps were implemented using ZooMonitor across a two-month observation period. The most frequent behavior class observed for both cassowaries was inactive followed by active behaviors. There were significant differences in four of the seven behavioral classes, with more social, grooming, and abnormal behaviors observed in the male and more foraging behaviors in the female. Habitat usage differed visually between sex with the male directed towards areas where the female was located. There was no significant difference in behavioral diversity between the cassowaries. Implications for cassowary welfare are discussed, as well as the importance of using multiple measures to assess animal well-being.
DenoiseST: A dual-channel unsupervised deep learning-based denoising method to identify spatial domains and functionally variable genes in spatial transcriptomics
Authors: Cui Yaxuan , Wang Ruheng , Zeng Xin , Cui Yang , Zhu Zheyong , Nakai Kenta , Ye Xiucai , Sakurai Tetsuya , Wei Leyi 
Published: June 2024

Abstract

Spatial transcriptomics provides a unique opportunity for understanding cellular organization and function in a spatial context. However, spatial transcriptome exists the problem of dropout noise, exposing a major challenge for accurate downstream data analysis. Here, we proposed DenoiseST, a dual-channel unsupervised adaptive deep learning-based denoising method for data imputing, clustering, and identifying functionally variable genes in spatial transcriptomics. To leverage spatial information and gene expression profiles, we proposed a dual-channel joint learning strategy with graph convolutional networks to sufficiently explore both linear and nonlinear representation embeddings in an unsupervised manner, enhancing the discriminative information learning ability from the global perspectives of data distributions. In particular, DenoiseST enables the adaptively fitting of different gene distributions to the clustered domains and employs tissue-level spatial information to accurately identify functionally variable genes with different spatial resolutions, revealing their enrichment in corresponding gene pathways. Extensive validations on a total of 19 real spatial transcriptome datasets show that DenoiseST obtains excellent performance and results on brain tissue datasets indicate it outperforms the state-of-the-art methods when handling artificial dropout noise with a remarkable margin of ~ 15%, demonstrating its effectiveness and robustness. Case study results demonstrate that when applied to identify biological structural regions on human breast cancer spatial transcriptomic datasets, DenoiseST successfully detected biologically significant immune-related structural regions, which are subsequently validated through Gene Ontology (GO), cell-cell communication, and survival analysis. In conclusion, we expect that DenoiseST is a novel and efficient method for spatial transcriptome analysis, offering unique insights into spatial organization and function.
Thermophysical properties and mass spectra of meson systems via Nikiforov-Uvarov method
Authors: HORCHANI RIDHA , KHARUSI OMAMA AL , IKOT AKPAN N , AHMED FAIZUDDIN 
Published: June 2024

Abstract

In this study, we analyze the mass spectra of meson systems within an N-dimensional space using the Killingbeck potential combined with an inversely quadratic potential (KPIQP). We employ the Nikiforov-Uvarov method along with the Pekeris approximation scheme to account for the centrifugal barrier. This approach enables us to compute numerical energy eigenvalues, normalized eigenfunctions, and mass spectra for both heavy and heavy-light meson systems. We explore various scenarios of the potential and find that the resulting energy eigenvalues are consistent with those obtained through previous analytical methods and experimental data. Additionally, we compute the thermodynamic properties of quarkonium particles, including mean energy, specific heat, free energy, and entropy. Furthermore, we investigate the effects of temperature and the dimensionality number on meson masses and thermodynamic properties, providing valuable insights into the behavior of meson systems under different conditions.