bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developmental competence and neonatal outcomes of nonpronuclear zygotes following single vitrified-warmed blastocyst transfers using propensity score matching analysis
Authors: Zhu Jie , Wang Cunli , Cao Zhenyi , Luan Kang , Wu Yan , Yin Huiqun 
Published: June 2023

Abstract
Purpose To investigate developmental competence and neonatal outcomes of nonpronuclear (0PN) zygotes following single vitrified-warmed blastocyst transfers (VBT).
Methods The clinical, laboratorial and neonatal data of 996 patients with ≤38 years who underwent blastocyst culture and single VBT were retrospectively analyzed. The pregnancy and neonatal outcomes of VBT were compared between 0PN and 2PN blastocysts using propensity score matching (PSM). Moreover, Day 3 (D3) embryo development and blastocyst formation were compared between 0PN and 2PN zygotes.
ResultsThere were no significant differences in clinical pregnancy rate (CPR), live birth rate (LBR) and neonatal outcomes of VBT between the 0PN and 2PN blastocysts irrespectively of whether PSM was used. However, early abortion rate (EAR) was higher in blastocysts from 0PN D3 embryos ＞10 cells (p＜0.05) before PSM. Moreover, the early developmental competence of 0PN zygotes was different from that of 2PN zygotes presenting higher percentages of D3 embryos ≤6 cells (p＜0.01) and ＞10 cells (p＜0.01), lower available blastocyst formation rate (ABFR) (p＜0.01) and good-quality blastocyst formation rate (GBFR) (p＜0.01) in D3 embryos with 4-6 cells. ABFR and GBFR increased with cell number when compared among embryos with 4-6 cells, 7-10 cells and ＞10 cells, irrespectively of 0PN or 2PN embryos.
ConclusionThe early developmental competence of 0PN zygotes was different from that of 2PN zygotes, but did not influence pregnancy and neonatal outcomes following VBT. ABFR and GBFR increased with cell number, irrespectively of 0PN or 2PN embryos.
An Eoq Model of a Decaying Item Having Fuzzy Deterioration With Freshness and Inflation Induced Fuzzy Demand Under
Authors: Mondal Rituparna , Jana Ranjan Kumar , Pramanik Prasenjit , Maiti Manas Kumar 
Published: June 2023

Abstract
The freshness of the units plays a significant role in stimulating the demand of any decaying item. The freshness of the units of such a product decreases with time, which in turn decreases the demand of the item. Under the circumstances, to boost the demand, the sellers normally decreases the unit selling price with time as well as apply different credit policies. Since a deteriorating item deteriorates for several factors, like, weather, preservation process, displayed units, storage area, season, etc., and hence it is not possible to estimate a crisp estimation of the deterioration rate of the units. So it is better to define this parameter as a fuzzy number using expert’s opinion. This paper investigates the retailer’s flow and inventory status of such a product with fuzzy deterioration rate, exponentially decaying dynamic unit selling price dependent dynamic demand under time-dependent partial trade credit policy. To boost the demand, the unit selling price is reduced exponentially with time. The model is formulated using fuzzy differential equation and fuzzy Riemann integration and the total fuzzy profit from the planing horizon is estimated. Finally the best business policy for the retailer in terms of the total fuzzy financial gain from the system is obtained. As the optimisation of any fuzzy objective is not yet properly defined, a fuzzy goal of the problem is determined, and the credibility measure of the fuzzy objective with respect to that fuzzy goal is optimised for the optimal marketing decision. An efficient fuzzy simulation approach is proposed for the determination of the said credibility measure. As the problem involves real as well as integer variables, a mixed-mode PSO approach is presented, implemented, tested and used to determine the best marketing decision. The model is analysed in three scenarios with crisp, fuzzy and rough data sets. The illustration of the model in different environments is done with different sets of hypothetical data and some managerial insights are outlined.
Flexible Crossbar Molecular Devices with Patterned EGaIn Top-Electrodes: Scalable Integration and All-Molecule-Circuit Implementation
Authors: Li Yuan , Cao Zhou , Xie Yu , Lin Jin-Liang , Zhong Shuai , Yang Zhenyu , Zhou Ziming , Peng Wuxian , Qiu Shengzhe 
Published: June 2023

Abstract
In this research study, we designed and fabricated a unique crossbar architecture, incorporating vertically integrated self-assembled monolayers (SAMs) in electronic devices. We used this architecture showcased 100 individual vertical molecular junctions on a single chip with high yield of working junctions and high device uniformity. The study introduced a transfer approach for patterned liquid-metal Ga/In alloy (EGaIn) top-electrodes enabling the creation of fully flexible molecular devices with electrical functionalities. The devices exhibited excellent charge transport performance, sustained high rectification ratio (> 103), and stable endurance and retention properties, even when devices were significantly bent. Furthermore, we successfully implemented Boolean logic gates, including OR and AND gates, as well as half-wave and full-wave rectifying circuits. The novel design of the flexible molecular device represents a significant step in harnessing the potential of molecular devices for high-density integration and possible molecule-based computing.
Integrated evaluation of the biological response of the earthworm Eisenia fetida using two glyphosate exposure strategies: soil enriched and soils collected from crops in Southeastern Mexico
Authors: Dzul-Caamal Ricardo , Vega-López Armando , Osten Jaime Rendon-von 
Published: June 2023

Abstract

Under laboratory conditions, the toxicological effects of pesticides tend to be less variable and realistic than in field studies, limiting their usefulness in environmental risk assessment. In the current study, the earthworm Eisenia fetida was selected as a bioindicator for assessing glyphosate toxic effects in two different trials to solve this question. In Trial 1, the worms were exposed for 7 and 14 days to concentrations of a commercial glyphosate formulation (1 to 500 mg a.i. kg − 1) currently in the field. For Trial 2, the worms were kept in nine soils collected from different plots with crops for 14 days of exposure. In both experiments, glutathione S-transferase (GST), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), and acetylcholinesterase (AChE) activities and contents of lipid peroxidation (LPO) were evaluated. In T1, glyphosate formulation produced a 40% inhibition of AChE activity and a significant increase in GST, SOD, CAT, GPx activities, and LPO contents of E. fetida on day 7. In T2, higher concentrations of glyphosate were detected in soils of soybean, papaya, and corn (0.92, 0.87, and 0.85 mg kg − 1), which induced a positive correlation between the levels of glyphosate residues with GST, SOD, CAT, GPx, and LPO, and negative with AChE. These findings indicate that crop soils polluted with glyphosate elicited higher oxidative stress than in laboratory conditions, confirmed by IBRv2, PCA, and AHC analysis.
MLKL deficiency alleviates neuroinflammation and motor deficits in the α-synuclein transgenic mouse model of Parkinson’s disease
Authors: Geng Lu , Gao Wenqing , Hexige Saiyin , Li Yuanyuan , Zeng Yu , Zhang Zhifei , Li Xue , Liu Zuolong , Gao Qiang , Jiang Ning , Yu Xiaofei , Chen Xiangjun , Li Suhua , Chen Lei , Li Aiqun , Chen Guoyuan , Shen Yidong , Tian Mei , Zhang Zhuohua , Li Jixi 
Published: June 2023

Abstract
Parkinson’s disease (PD), one of the most devastating neurodegenerative brain disorders, is characterized by the progressive loss of dopaminergic neurons in the substantia nigra (SN) and deposits of α-synuclein aggregates. Currently, pharmacological interventions for PD remain inadequate. The cell necroptosis executor protein MLKL (Mixed-lineage kinase domain-like) is involved in various diseases, including inflammatory bowel disease and neurodegenerative diseases; however, its precise role in PD remains unclear. Here, we investigated the neuroprotective role of MLKL inhibition or ablation against neuronal cell death induced by 6-OHDA and TNF-α. Using a mouse model (Tg-Mlkl−/−) generated by crossbreeding the SNCA A53T synuclein transgenic mice with MLKL knockout (KO)mice, we assessed the impact of MLKL deficiency on the progression of Parkinsonian traits. Our findings demonstrate that Tg-Mlkl−/− mice exhibited a significant improvement in motor symptoms and reduced phosphorylated α-synuclein expression compared to that in the classic A53T transgenic mice. Furthermore, MLKL deficiency alleviated tyrosine hydroxylase (TH)-positive neuron loss and attenuated neuroinflammation by inhibiting the activation of microglia and astrocytes. Single-cell RNA-seq (scRNA-seq) analysis of the SN of Tg-Mlkl−/− mice revealed a unique cell type-specific transcriptome profile, including downregulated prostaglandin D synthase (PTGDS) expression, indicating reduced microglial cells and dampened neuron death. Thus, MLKL represents a critical therapeutic target for reducing neuroinflammation and preventing motor deficits in PD.
“Sync fast and solve things” – best-practices for responsible digital health
Authors: Landers Constantin , Blasimme Alessandro , Vayena Effy 
Published: June 2023

Abstract

Established regulatory principles, oversight methods and ethical frameworks seem out of sync with digital health innovation. In this study, we shed light on how to address the gap between ethical principles and practice in digital health. We engaged key stakeholders (n = 46) operating at the translational frontier of digital health. After identifying current impediments to responsible digital health innovation, stakeholders proposed solutions to address them. We illustrate three solution clusters: i) inclusive co-creation, ii) responsive regulation, and iii) value-driven innovation. While the solution clusters constitute distinct approaches, they are highly interdependent. Our study shows that realizing responsible digital health requires diverse stakeholders’ commitment to adapt innovation and regulation practices, embracing co-creation as the default modus operandi for digital health development. We describe these collaborative practices and show how they can ensure that innovation is neither slowed by overregulation, nor leads to unethical outcomes.
The Role of Proadrenomedullin, Interleukin 6 and CD64 in the Diagnosis and Prognosis of Septic Shock
Authors: Turan Yasemin Bozkurt 
Published: June 2023

Abstract
Introduction: Sepsis and septic shock are disorders of tissue perfusion and microcirculation associated with increased mortality. The role of biomarkers such as proadrenomedullin (PRO-ADM), interleukin 6 (IL-6) and neutrophil CD64 (CD64) in the diagnosis and prognosis of septic shock has been studied. Methods: GCS, SOFA score, APACHE 2 score, lactate, CRP, procalcitonin, PRO-ADM, IL-6, CD64 level and 28-day mortality were evaluated in patients with septic shock followed-up in the intensive care unit of Marmara University Hospital between July 2021 and December 2021. The study was planned as prospective, non-drug clinical research Committee. Results: There were no statistically significant differences between patient groups in gender, BMI, and presence of comorbidities (p > 0.05). The alive patient group had significantly higher GCS values and lower SOFA, APACHE 2, lactate and CD64 values than the dead patient group (p < 0.01). The cut-off values of laboratory parameters were determined using ROC analysis to predict mortality, SOFA and CD64 had high AUC. This is also a good indicator for mortality.The multivariate logistic regression model was estimated using the backward selection method. The mortality of ICU patients was predicted by a SOFA-value ≥ 12 (OR (95%CI) = 56.13 (5.44–578.64)), CD64 value ≥ 28.54 (OR (95% CI) = 23.78 (2.61–216.85)), and ADM-value ≥ 86.79 (OR (95% CI) = 15.86 (1.02–246.49)) (p < 0.05) . Conclusion: In conclusion, serum CD64 level, PRO-ADM level, and SOFA score proved to be effective parameters for predicting prognosis and mortality in septic shock. However, IL-6 proved to be a weak biomarker and failed to predict mortality. CD64, which is easier and more practical to use, can be used instead of the SOFA score.
Inhibition of CDK4 as a potential therapy for natural killer cell lymphoma with MYC overexpression
Authors: Huang Yu-Hua , Ali Roshia , Wang Fang , Yang Xia , Bouska Alyssa , Lunning Matthew , Chan Wing-Chung (John) , Iqbal Javeed , Weisenburger Dennis , Vose Julie , Fu Kai , Bi Chengfeng 
Published: June 2023

Abstract
Current clinical management of Extranodal NK/T-cell lymphoma (ENKTL) primarily depends on conventional chemotherapy and radiotherapy, underscoring the need for innovative therapeutic strategies. This study explores the clinical significance and therapeutic potential of c-MYC (MYC) in ENKTL. Initially, we identified MYC protein overexpression in approximately 75% of cases within a large cohort of 111 patients. MYC overexpression was strongly correlated with lymphoma cell proliferation and poor clinical outcomes. Intriguingly, integrating MYC expression into the PINK-E prognostic model significantly enhanced its predictive power. Subsequently, we implemented MYC knockdown (KD) in NK lymphoma cell lines overexpressing MYC, resulting in significant viability reduction. Integrating the RNA-sequencing analysis upon MYC KD with gene expression profiles of primary ENKTL cases revealed a subset of genes closely associated with MYC overexpression. Among these, CDK4 emerged as a potential therapeutic target, and its inhibition not only abrogated MYC function but also decreased MYC expression in NK lymphoma cells. Furthermore, the clinical-grade CDK4/6 inhibitor palbociclib exhibited a potent anti-tumor effect in xenograft mouse models, especially when combined with gemcitabine. Collectively, our study firmly establishes MYC as a prognostically significant oncogene in ENKTL and highlights CDK4 inhibition as a promising therapeutic strategy for treating ENKTL with MYC overexpression.
Weight, weight gain and behavioural risk factors in women attending a breast cancer family history, risk and prevention clinic: an observational study
Authors: Pegington Mary , Belcher John , Barrett Emma , Virpal Pawandeep , Howell Anthony , Evans D Gareth , Harvie Michelle 
Published: June 2023

Abstract
Background
Weight and health behaviours impact on breast cancer risk. We describe trends in weight and health behaviours in women at entry to a specialist breast cancer family history clinic in Manchester, UK, and changes after clinic entry.
Methods
Questionnaires were completed at clinic entry (1987–2019, n = 10,920), and updated in 2010-11 (n = 3,283). Clinic entry characteristics were compared between joining periods 1989-98, 1999–2008 and 2009-18. Partial Least Squares analysis characterised trends in weight, smoking and alcohol intake by age at entry, year of entry and birth year. Weight changes were compared over time, between joining periods.
Results
Obesity at clinic entry increased from 10.6% in 1989-98 to 20.5% in 2009-18. Alcohol intake above recommendations and smoking prevalence decreased from 20.1–13.8% and 33.5–16.1% respectively. Weight gain was median 9.7 (IQR 1.4–20.6) % between age 20 and clinic entry (mean duration 11.9 ± 5.6 years) and a further 4.5 (0.0-12.5) % between clinic entry and 2010-11 (31.1 ± 10.4 years). Weight gain between age 20 and clinic entry was highest in the most recent joining period.
Conclusions
Obesity and weight gain are common in women attending a breast cancer family history clinic suggesting a need for weight management advice and support.
Efficacy and safety of corticosteroids, hyaluronic acid, and PRP and combination therapy for knee osteoarthritis：a systematic review and network meta-analysis
Authors: Qiao Xiaochen , Yan Lei , Feng Yi , Li Xiaoyan , Zhang Kun , Lv Zhi , Xu Chaojian , Zhao Sen , Liu Fengrui , Yang Xihua , Tian Zhi 
Published: June 2023

Abstract
Objective
To assess the effectiveness and safety of corticosteroids (CSC), platelet-rich plasma (PRP), hyaluronic acid (HA), and combination therapy for improving knee osteoarthritis (KOA).
Methods
The PRISMA principles were followed when doing the literature search. The study included randomized controlled trials that assessed the efficacy of CSC, PRP, HA, and combination therapy in treating KOA. The outcome measure included the visual analog scale (VAS) score, the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) score, and treatment-related adverse events. The network meta-analysis was performed using STATA17 software and a Bayesian stratified random effects model.
Results
Network meta-analysis using the Bayesian random-effects model revealed 35 studies with 3104 participants. PRP showed the best WOMAC score at a 3-month follow-up, followed by PRP + HA, HA, placebo, and CSC; PRP + HA scored the highest VAS, followed by PRP, CSC, HA, and placebo. PRP, CSC, HA, and placebo had the highest WOMAC scores six months following treatment; PRP + HA showed the best VAS scores. PRP showed the best WOMAC score at 12 months, followed by PRP + HA, HA, placebo, and CSC; The best VAS score was obtained with PRP, followed by PRP + HA, HA, and CSC. No therapy demonstrated a rise in adverse events linked to the treatment in terms of safety.
Conclusions
The current study found that PRP and PRP + HA were the most successful in improving function and alleviating pain after 3, 6, and 12 months of follow-up. CSC, HA, PRP, and combination therapy did not result in an increase in the incidence of treatment-related side events as compared to placebo.
Multi-Omics Clustering Reveals Disulfidptosis Typing in Hepatocellular Carcinoma and Correlates with Immune Features
Authors: Chen Guanjun , Zhang Ganghua , Zhu Yuxing , Wu Anshan , Fang Jianing , Yin Zhijing , Chen Haotian , Cao Ke 
Published: June 2023

Abstract
Hepatocellular carcinoma (HCC) is a highly prevalent and deadly cancer, with limited treatment options for advanced-stage patients. This study aimed to explore the potential of disulfidptosis, a novel form of cell death, as a prognostic and therapeutic marker in HCC.We classified HCC patients into two disulfidptosis subtypes (C1 and C2) based on the transcriptional profiles of 31 disulfrgs using a non-negative matrix factorization (NMF) algorithm. The low disulfidptosis subtype (C2) demonstrated better overall survival (OS) and progression-free survival (PFS) prognosis, along with lower levels of immunosuppressive cell infiltration and activation of the glycine/serine/threonine metabolic pathway. Five key signature genes (SLC7A11, SLC2A1, ADAM9, ITGAV, and PFKP) were identified to distinguish between the subgroups, and the constructed model exhibited high accuracy. The study also investigated the association of disulfidptosis with microsatellite instability, tumor immune microenvironment, and genomic mutational burden. Additionally, the low disulfidptosis group showed better responses to immunotherapy and potential antagonism with sorafenib treatment. The key genes SLC7A11 and SLC2A1 were identified as crucial for molecular typing and had excellent predictive power for patient survival. RT-qPCR was used to determine the mRNA levels of the two key genes mentioned above. Classification is a highly effective tool for predicting the prognosis and therapeutic response of patients, providing a valuable reference for accurate individualized treatment. The present study indicates that novel biomarkers related to disulfidptosis may serve as useful clinical diagnostic indicators for liver cancer, enabling the prediction of prognosis and identification of potential treatment targets.
Evolution of the bark beetle crisis in spruce (Picea abies) forests: A spatial and temporal remote sensing analysis in Belgium and North- eastern France
Authors: Gilles Arthur , Lisein Jonathan , Cansell Juliette , Latte Nicolas , Piedallu Christian , Claessens Hugues 
Published: June 2023

Abstract
In 2022, Europe emerged from eight of the hottest years on record, leading to significant spruce mortality across Europe. The particularly dry weather conditions of 2018 triggered an outbreak of bark beetles (Ips typographus), causing the loss of thousands of hectares of Norway spruce stands, including in Wallonia and North-eastern France. A methodology for detecting the health status of spruce was developed based on dense time series of satellite imagery (Sentinel-2). The time series of satellite images allowed the modelling of the spectral response of healthy spruce forests over the seasons: a decrease in photosynthetic activity of the forest canopy causes deviations from this normal seasonal vegetation index trajectory. These anomalies are caused by a bark beetle attack and are detected automatically. The method leads in the production of annual spruce health map of Wallonia and Grand-Est. The resulting map are used to assess the damage caused by bark beetle and to study the relation between the dieback and environmental conditions. Lasted six years (2017–2022), bark beetle has destroyed 12.2% (23,674 ha) of the spruce area in Wallonia and Grand-Est of France. This study area is composed of three bioclimatic areas: Plains, Ardennes and Vosges, which have not been equally affected by bark beetle attacks. The plains were the most affected, with 50% of spruce forests destroyed, followed by the Ardennes, which lost 11.3% of its spruce stands. The Vosges was the least affected bioclimatic area, with 5.6% of spruce stands lost.
Throughput Maximization for Irregular Reconfigurable Intelligent Surface Assisted NOMA Systems
Authors: Zhang Weilin , Wang Lingyi , Mao Hangtao , Wang Zi , Wu Wei 
Published: June 2023

Abstract
Reconfigurable intelligent surface (RIS) is an emerging technology to improve the spectral efficiency of wireless communication systems. However, the high complexity of beam design and the non-negligible overhead associated with RIS limit the number of elements that can be deployed in practice. In this paper, we investigate the downlink communications of irregularly deployed intelligent reflecting surfaces that assist non-orthogonal multiple access (NOMA) systems. To address this challenge, we propose a novel four-step resource allocation algorithm. Specifically, we first obtain a sub-optimal solution for the sparse deployment of RIS elements using a simulated annealing algorithm. We then solve the power allocation problem by employing an integer optimization algorithm that continuously iterates the immobile point. To simplify and optimize the reflection coefficient matrix, we propose a construction inequality algorithm. Finally, we optimize the channel assignment using a genetic algorithm. The simulation results demonstrate that the proposed irregular RIS-assisted NOMA system outperforms the traditional RIS-assisted orthogonal multiple access (OMA) system, with a maximum throughput increase of approximately 30%.