bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of compassion‐focused therapy for self‐criticism in patients with personality disorders: a multiple baseline case series study
Authors: Pol Silvia M. , de Jong Audrey , Trompetter Hester , Bohlmeijer Ernst T. , Chakhssi Farid 
Published: November 2023

AbstractObjectiveTargeting self‐criticism, the tendency to negatively evaluate and judge aspects of oneself, may improve treatment efficacy for personality disorders (PDs). This study aimed to test whether adding 12‐week group compassion‐focused therapy (CFT) that explicitly targets self‐criticism to treatment as usual (TAU) would reduce self‐criticism in patients with PDs.MethodTwelve patients with PDs participated in a multiple baseline study, randomly allocated to different baseline lengths. The primary outcome was twice‐weekly assessed self‐critical beliefs during baseline, treatment, and follow‐up phases. Secondary outcomes were self‐criticism, self‐compassion, and PD severity at the end of CFT and follow‐up (trial registered: NL8131).Nine participants completed the intervention. No significant changes were observed during CFT, but at follow‐up significant decrease in self‐critical beliefs (Cohen's d = −0.43; 95% CI = −0.73 to −0.12) was reported compared to baseline. On secondary outcomes, most participants showed reliable improvement on self‐reported criticism (66.7%) and self‐compassion (55.6%), and a minority of patients showed reliable improvement in PD severity (33.3%).ConclusionsThis study seems to provide preliminary evidence for the effectiveness of 12‐week CFT for self‐critical beliefs in patients with PDs compared to TAU. CFT for self‐criticism in PDs may complement treatment offerings and warrant further research.
Preparation of high‐efficient flame retardant PA6 via DOPO‐ITA initiated ring‐opening polymerization of caprolactam
Authors: Zhang Yueji , zheng Wei , Xiao Yijing , Yi Chunwang 
Published: November 2023

AbstractIt has been a long‐term challenge to synthesize intrinsically flame retardant polyamide 6 (FRPA6) with high‐molecular weight. In this work, through the ring‐opening polymerization of caprolactam initiated by 9,10‐dihydro‐10‐[2,3‐di(hydroxycarbonyl)propyl]‐10 phosphaphenanthrene‐10‐oxide (DOPO‐ITA), intrinsically flame retardant PA6 with high‐molecular weight was successfully prepared. Its chemical structure, thermal stability, mechanical and combustion properties, as well as the retarding mechanism were thoroughly characterized in detail. The FRPA6 containing 3.0% retardant could achieve a V‐0 rating with an LOI value of 31.2%. An interesting phenomenon was observed during V‐0 tests. The melt drip slowly extended downward to form a long strip after moving fire, which was in favor of its heat release in a short time, thereby effectively prevented it from igniting the cotton. That is, a facile method to prepare intrinsically high‐efficiency fire retardant polymer via ring opening and polycondensation was proposed.
Polymers with double‐decker and side‐opened cage silsesquioxanes: Effects of cage structures on materials properties
Authors: Hirosawa Yuta , Imoto Hiroaki , Naka Kensuke 
Published: November 2023

AbstractCage silsesquioxanes, also known as polyhedral oligomeric silsesquioxanes (POSS), serve as crucial building blocks in crafting precisely designed organic–inorganic hybrid materials, given that their well‐defined silsesquioxane clusters can be adorned with organic substituents. While polymers with POSS in their main chains have been thoroughly examined, analyzing the correlation between cage structure and material properties in main‐chain‐type polymers remains challenging. This difficulty stems from the limited range of organic substituents on traditional POSS monomers, thereby precluding comparisons between polymers with unified substituents and different cage structures. In this study, we synthesized double‐decker silsesquioxane (DDSQ) and side‐opened POSS (SO‐POSS) monomers, both featuring phenyl groups. Subsequent platinum‐catalyzed hydrosilylation polymerization yielded main‐chain‐polymers. Both the cage and linker structures influence thermal stability and the glass transition temperature, while the hardness was primarily determined by the linker structure. This research is the first to elucidate the impact of cage structure on the material properties of main‐chain‐type POSS polymers.
Weaning from noninvasive respiratory support in children in acute settings: Expert consensus statement using modified Delphi methodology
Authors: Mortamet Guillaume , Milési Christophe , Baudin Florent , Yalindag Nilufer , Kneyber Martin , Pons‐Odena Marti 
Published: November 2023

AbstractObjectiveTo reach a consensus on the definition and modalities of weaning from noninvasive ventilation in acute settings.DesignA modified Delphi survey using closed and open‐ended questions.SettingThree rounds of consensus determination were sent via electronic mail survey to 33 experts. The survey questionnaire had four sections: definition of weaning, definition of weaning failure, criteria to initiate weaning, and modalities of weaning. Questions where agreement had been reached on round 1 were no longer part of the survey in rounds 2 and 3.SubjectsTwenty‐five international experts from 10 countries.Measurement and Main ResultsOverall, this survey generated positive consensus from experts for 19/35 statements (9 with strong agreement and 10 with weak agreement) about weaning from noninvasive respiratory support. No negative consensus could be identified.ConclusionThe clinical practice statements issued address important aspects of definition of weaning, definition of weaning failure, criteria to initiate weaning, and modalities of weaning in acute settings.
Association of plasma NRP2 and VEGF‐C levels with prostate cancer disease severity
Authors: Mullen Sarah A. , Das Dipanwita , Ziamiavaghi Negin , High Robin , Datta Kaustubh , Teply Benjamin A. 
Published: November 2023

AbstractBackgroundNeuropilin 2 (NRP2) expression in tissue is an independent prognostic factor for aggressive prostate cancer. Since the NRP2 pathway activation is thought to occur in part through secondary resistance, quantification of NRP2 in initial tissue biopsy specimens collected at diagnosis may have limited utility in identifying patients at highest risk for morbidity and mortality. Given that metastatic tissue is only occasionally obtained for analysis, there is a need for development of a plasma biomarker indicative of NRP2 pathway activation to potentially inform prostate cancer prognosis. Therefore, we investigated if plasma levels of NRP2 or vascular endothelial growth factor C (VEGF‐C), a known soluble ligand of NRP2, are prognostic for prostate cancer. We hypothesized that plasma NRP2 and VEGF‐C would be associated with more advanced disease or relapsed disease.MethodsNRP2 and VEGF‐C levels were quantified by enzyme‐linked immunoassay in plasma samples obtained from 145 prostate cancer patients in an opportunistic biobank. These patients were either (1) newly diagnosed (N = 28), (2) in remission (N = 56), or (3) relapsed disease (N = 61). Plasma samples from 15 adult males without known malignancy served as a comparator cohort. Statistical analysis was performed to investigate the association of plasma NRP2/VEGF‐C with patient outcomes, adjusting for age, race, prostate‐specific antigen (PSA), Gleason score, and tumor stage at diagnosis.ResultsNeither NRP2 nor VEGF‐C levels were significantly different in cancer patients compared to noncancer controls. We observed no clear association between plasma NRP2 and disease severity. Increased plasma VEGF‐C was significantly associated with disease remission and correlated with Stage I/II and intermediate‐risk Gleason score. Neither NRP2 nor VEGF‐C correlated with PSA level.ConclusionsAlthough tissue NRP2 expression correlates with severe disease, this was not observed for plasma NRP2. Plasma NRP2 levels did not correlate with disease severity or relapse. VEGF‐C was highest in patients in remission and with less severe disease. Future investigation is needed to identify noninvasive methods to assess tumor NRP2 status.
How do hedgerow characteristics alter the dispersal of Pseudocercospora fijiensis propagules?
Authors: Delatouche Lucile , Tixier Philippe , Sainte‐Rose Jérôme , Daribo Marie‐Odette , de Lapeyre de Bellaire Luc 
Published: November 2023

AbstractBACKGROUNDHedgerows represent an agroecological lever for pest management. To date, few studies have shown that they can be used as a lever for the control of aerial fungal diseases, especially as a barrier to dispersal. On banana production, the main disease is black leaf streak disease (BLSD), which is a fungal disease caused by Pseudocercospora fijiensis. This pathogen disperses through two types of spores: ascospore and conidia. The aim of this study was to observe and to quantify the effect of hedgerows on BLSD dispersal. Trap plants were placed at the same distance to an artificial source of inoculum with a hedgerow on one side. Lesions were counted to establish the daily lesion density of each trap plant. The combination of hedgerow characteristics such as height, width, and optical porosity were used to evaluate its potential capacity to intercept spores.RESULTSWhen ascospores were used as a source of inoculum, the lesion density on traps plant decreased up to 50% between the hedgerow with the lowest interception capacities and the one with the highest interception capacities. For conidia, hedgerow height and side of the trap plants (with or without hedgerow between them and the source) were not significant, but low porosity of the hedgerow reduced the lesion density. On the contrary, for ascospore, the hedgerow effect was anisotropic; the trap plants on hedgerow side had less lesions.CONCLUSIONOur study is the first experimental proof of the effect of hedgerows on P. fijiensis dispersion, both on conidia and ascospore. We showed that hedgerow characteristics impact the capacity of interception of the hedgerow. © 2023 Society of Chemical Industry.
Sustainable agricultural management: How to achieve carbon neutrality in agriculture – evidence from China agricultural sustainable development plan
Authors: Chen Pengyu , Li Jinglong 
Published: November 2023

AbstractAgricultural sustainable development is of significant importance for achieving food security, environmental protection, climate change adaptation, natural resource conservation, and economic development. We conducted a study using the 2015 China Agricultural Sustainable Development Plan (ASDP) as a natural experiment and employed the Difference‐in‐Differences (DID) model to estimate the impact of ASDP on agricultural carbon neutrality. Path analysis and heterogeneity analysis were also performed. The results of this study are as follows: First, ASDP promotes agricultural carbon neutrality. Second, increasing per capita agricultural machinery usage, agricultural labor efficiency, livestock manure management, wastewater and waste treatment capacity, toilet coverage rate, greening efforts, and reducing pesticide usage are potential pathways of ASDP. Third, the analysis of carbon emission types indicates that current ASDP mainly focuses on carbon emissions from traditional agricultural practices, with limited impact on carbon emissions associated with modern agricultural activities, such as diesel fuel and pesticides. Lastly, the heterogeneity analysis of agricultural regions demonstrates that ASDP has a more positive impact on grain, oil, fruit and vegetable low‐producing areas, cotton high‐producing areas, and poultry, meat, eggs and milk aquaculture high‐producing areas. This study estimates the carbon reduction effect of ASDP and provides new policy recommendations and reform directions for agricultural sustainable development in China and other developing countries.
Efficient Synthesis of N‐Pyridinylamides Using a Bimetallic Co/Fe‐Metal‐Organic Framework Heterogeneous Catalyst
Authors: Nguyen Oanh Kim Thi , Nong Linh Xuan , Nguyen Vinh Huu , Nguyen Trinh Duy 
Published: November 2023

AbstractThe synthesis of N‐pyridinylamides has been realized by particularly efficient technologies via bimetallic organic (Co/Fe‐MOF) catalyzed oxidative amidation between 2‐aminopyridine and benzaldehyde. The C−N bond was formed with the presence of a catalyst (Co/Fe‐MOF) as a Lewis acid and the oxidant as DTBP. The oxidative amidation reaction was conducted in 1,4‐dioxane at 120 °C with a wide range of substrates producing the corresponding amide products in good to 94 % yields. Experimental results illustrated that This accessibly offers a significant improvement over the earlier successful attempts in forming N‐pyridinyl amides. The Co/Fe‐MOF material was synthesized by solvothermal methods with the salt mixture of Fe(NO3)3.9H2O and Co(NO3)2.6H2O. The material was determined by modern analytic methods like X‐ray diffraction (XRD), Fourier‐transform Infrared spectroscopy (FT‐IR), Scanning Electron Microscope (SEM), and N2 adsorption/desorption isotherms.
On‐Demand 3D Spatial Distribution of Magnetic Permeability Based on Fe3O4 Nanoparticle Liquid Toward Micro‐Cavity Detectors
Authors: Zhang Shanfei , Xu Yizhuo , Li Zhuofan , Wang Qi , Li Yike , Chen Xiaojun , Chen Peng , Lu Zhongjiu , Su Bin 
Published: November 2023

AbstractThe change of 3D spatial distribution of magnetic permeability can lead to the generation of introduced electrical signals. However, present studies can only achieve rough regulation by simple shape deformation of magnetic elastomers such as compression, bending, or stretching. Accurate control of the 3D spatial distribution of magnetic permeability is still an open question. In this study, an on‐demand 3D spatial distribution of magnetic permeability by controlled flowing of Fe3O4 nanoparticle liquid (FNL) is demonstrated. The flowing routes of FNL are tuned by a 3D‐printed cage with pre‐designed hollow structure, thus changing the 3D spatial distribution of magnetic permeability. Then, eight symmetrically distributed coils under cage are used to receive characteristic induction voltage signals. Maxwell numerical simulation reveals the working mechanism of signal generation. Notably, those eight coils can detect FNL flowing status in eight directions, allowing recognition of up to 255 different FNL flowing combinations. By introducing machine learning, the micro‐cavity detector based on FNL can distinguish nine kinds of micro‐cavity structures with an accuracy of 98.77%. This work provides a new strategy for the adjustment of the 3D spatial distribution of the magnetic permeability and expands the application of FNL in the field of space exploration.
2D Nano‐Channeled Molybdenum Compounds for Accelerating Interfacial Polysulfides Catalysis in Li–S Battery
Authors: Wu Min , Xing Zhenyu , Zhu Ran , Liu Xu , Feng Yifan , Shao Wenjie , Yan Rui , Yin Bo , Li Shuang 
Published: November 2023

AbstractThe shuttle effect, which causes the loss of active sulfur, passivation of lithium anode, and leads to severe capacity attenuation, is currently the main bottleneck for lithium‐sulfur batteries. Recent studies have disclosed that molybdenum compounds possess exceptional advantages as a polar substrate to immobilize and catalyze lithium polysulfide such as high conductivity and strong sulfiphilicity. However, these materials show incomplete contact with sulfur/polysulfides, which causes uneven redox conversion of sulfur and results in poor rate performance. Herein, a new type of 2D nano‐channeled molybdenum compounds (2D‐MoNx) via the 2D organic‐polyoxometalate superstructure for accelerating interfacial polysulfide catalysis toward high‐performance lithium‐sulfur batteries is reported. The 2D‐MoNx shows well‐interlinked nano‐channels, which increase the reactive interface and contact surface with polysulfides. Therefore, the battery equipped with 2D‐MoNx displays a high discharge capacity of 912.7 mAh g−1 at 1 C and the highest capacity retention of 523.7 mAh g−1 after 300 cycles. Even at the rate of 2 C, the capacity retention can be maintained at 526.6 mAh g−1 after 300 cycles. This innovative nano‐channel and interfacial design of 2D‐MoNx provides new nanostructures to optimize the sulfur redox chemistry and eliminate the shuttle effect of polysulfides.
Engineered Extracellular Vesicles Expressing Siglec‐10 Camouflaged AIE Photosensitizer to Reprogram Macrophages to Active M1 Phenotype and Present Tumor‐Associated Antigens for Photodynamic Immunotherapy
Authors: Sun Zhihong , Sun Zhuokai , Liu Jie , Gao Xiaohan , Jiao Liping , Zhao Qi , Chu Yongli , Wang Xiaozhong , Deng Guanjun , Cai Lintao 
Published: November 2023

AbstractCancer immunotherapy has attracted considerable attention due to its advantages of persistence, targeting, and ability to kill tumor cells. However, the efficacy of tumor immunotherapy in practical applications is limited by tumor heterogeneity and complex tumor immunosuppressive microenvironments in which abundant of M2 macrophages and immune checkpoints (ICs) are present. Herein, two type‐I aggregation‐induced emission (AIE)‐active photosensitizers with various reactive oxygen species (ROS)‐generating efficiencies are designed and synthesized. Engineered extracellular vesicles (EVs) that express ICs Siglec‐10 are first obtained from 4T1 tumor cells. The engineered EVs are then fused with the AIE photosensitizer‐loaded lipidic nanosystem to form SEx@Fc‐NPs. The ROS generated by the inner type‐I AIE photosensitizer of the SEx@Fc‐NPs through photodynamic therapy (PDT) can convert M2 macrophages into M1 macrophages to improve tumor immunosuppressive microenvironment. The outer EV‐antigens that carry 4T1 tumor‐associated antigens directly stimulate dendritic cells maturation to activate different types of tumor‐specific T cells in overcoming tumor heterogeneity. In addition, blocking Siglec‐10 reversed macrophage exhaustion for enhanced antitumor ability. This study presents that a combination of PDT, immune checkpoints, and EV‐antigens can greatly improve the efficiency of tumor immunotherapy and is expected to serve as an emerging strategy to improve tumor immunosuppressive microenvironment and overcome immune escape.
A medium‐density genotyping platform for cultivated strawberry using DArTag technology
Authors: Hardigan Michael A. , Feldmann Mitchell J. , Carling Jason , Zhu Anyu , Kilian Andrzej , Famula Randi A. , Cole Glenn S. , Knapp Steven J. 
Published: November 2023

AbstractGenomic prediction in breeding populations containing hundreds to thousands of parents and seedlings is prohibitively expensive with current high‐density genetic marker platforms designed for strawberry. We developed mid‐density panels of molecular inversion probes (MIPs) to be deployed with the “DArTag” marker platform to provide a low‐cost, high‐throughput genotyping solution for strawberry genomic prediction. In total, 7742 target single nucleotide polymorphism (SNP) regions were used to generate MIP assays that were tested with a screening panel of 376 octoploid Fragaria accessions. We evaluated the performance of DArTag assays based on genotype segregation, amplicon coverage, and their ability to produce subgenome‐specific amplicon alignments to the FaRR1 assembly and subsequent alignment‐based variant calls with strong concordance to DArT's alignment‐free, count‐based genotype reports. We used a combination of marker performance metrics and physical distribution in the FaRR1 assembly to select 3K and 5K production panels for genotyping of large strawberry populations. We show that the 3K and 5K DArTag panels are able to target and amplify homologous alleles within subgenomic sequences with low‐amplification bias between reference and alternate alleles, supporting accurate genotype calling while producing marker genotypes that can be treated as functionally diploid for quantitative genetic analysis. The 3K and 5K target SNPs show high levels of polymorphism in diverse F. × ananassa germplasm and UC Davis cultivars, with mean pairwise diversity (π) estimates of 0.40 and 0.32 and mean heterozygous genotype frequencies of 0.35 and 0.33, respectively.
Environmental assessment of heavy metal contamination at Chekfa aggregate quarry (Jijel, North‐East Algeria)
Authors: Foughalia Amal , Kessasra Fares , Benabbes Dounyazad , Bollot Nicolas , Khemissa Zeyneb , Kebabi Brahim , Aliliche Linda , Guerdouh Samah , Berthe Julien 
Published: November 2023

AbstractIt is fascinating to observe the potential hazards associated with mining and quarrying activities, despite the limited number of comprehensive studies conducted in Algeria to evaluate their environmental impact. This particular investigation focuses on El M'cif quarry in Chekfa, located within the Nil watershed in Jijel, a region situated in the North‐East of Algeria. The primary objective is to assess the concentrations of lead (Pb), zinc (Zn), copper (Cu), and cadmium (Cd) in surface water, groundwater, stream sediments, and soil. Consequently, a suite of petrographic and geochemical analyses is undertaken to discern the origins of these heavy metals. Employing statistical methodologies, notably the Geo‐accumulation Index (Igeo), Pollution Index (PI+PI), and Ecological Risk Assessment (ER), this study is further fortified to quantify the levels of hazardous contaminants. The findings reveal that the concentrations of Cd and Pb in surface water are recorded at 22 and 654.3 μg/L, respectively, surpassing both Algerian and WHO standards. Meanwhile, the heavy metal concentrations in stream sediments are ranked in the order of Zn > Cu > Cd, with respectively mean concentrations of 1085.30, 14.60, and 1.49 (mg/kg). The mean concentrations of Zn, Pb, Cd, and Cu in soil are measured respectively at 219.78, 128.86, 20.76, and 2.42 (mg/kg). Based on the statistical methods such as I‐geo, PI, IPI, and RI, the research reveals that the sediments of the Aftis River are uncontaminated by Cu, moderately to heavily contaminated with Zn and heavily contaminated by Cd. Besides the soil samples which are found to be extremely contaminated with Cd, moderately contaminated with Pb, and uncontaminated with Cu and Zn. Additionally, the X‐ray fluorescence analysis reveals that the limestone extracted from the quarry contains 0.7% cadmium, suggesting that the quarry could potentially contribute to cadmium contamination. The surrounding rocks exhibit significant concentrations of iron, lead, and zinc. Therefore, the elevated levels of these heavy metals can primarily be attributed to geological factors rather than human activities, highlighting the combined influence of the extractive industry and the geological environment.