bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pharmacokinetic evaluation of paclitaxel, albumin-binding paclitaxel, and liposomal-encapsulated albumin-binding paclitaxel upon gastric subserosal administration
Authors: Lee Yoontaek , Park Sun Mi , Song In Ho , Kim Bom Sahn , Park Hyun Soo , Moon Byung Seok , Kim Hyung-Ho 
Published: June 2024

Introduction: Systemic chemotherapy is typically administered following radical gastrectomy for advanced stage. To attenuate systemic side effects, we evaluated the effectiveness of regional chemotherapy using paclitaxel, albumin-paclitaxel, and liposome-encapsulated albumin-paclitaxel via subserosal injection in rat models employing nuclear medicine and molecular imaging technology.Method: Nine Sprague Dawley rats were divided into three groups: paclitaxel (n = 3), albumin-paclitaxel nano-particles (APNs; n = 3), and liposome-encapsulated APNs (n = 3). [123I]Iodo-paclitaxel ([123I]I-paclitaxel) was synthesized by conventional electrophilic radioiodination using tert-butylstannyl substituted paclitaxel as the precursor. Albumin-[123I]iodo-paclitaxel nanoparticles ([123I]APNs) were prepared using a desolvation technique. Liposome-encapsulated APNs (L-[123I]APNs) were prepared by thin-film hydration using DSPE-PEG2000, HSPC, and cholesterol. The rats in each group were injected with each test drug into the subserosa of the stomach antrum. After predetermined times (30 min, 2, 4, 8 h, and 24 h), molecular images of nuclear medicine were acquired using single-photon emission computed tomography/computed tomography.Results: Paclitaxel, APNs, and L-APNs showed a high cumulative distribution in the stomach, with L-APNs showing the largest area under the curve. Most drugs administered via the gastric subserosal route are distributed in the stomach and intestines, with a low uptake of less than 1% in other major organs. The time to reach the maximum concentration in the intestine for L-APNs, paclitaxel, and APNs was 6.67, 5.33, and 4.00 h, respectively.Conclusion: These preliminary results imply that L-APNs have the potential to serve as a novel paclitaxel preparation method for the regional treatment of gastric cancer.
Radioassay of the materials for AMoRE-II experiment
Authors: Agrawal A. , Alenkov V. V. , Aryal P. , Bae H. , Beyer J. , Bhandari B. , Boiko R. S. , Boonin K. , Buzanov O. , Byeon C. R. , Chanthima N. , Cheoun M. K. , Choe J. S. , Choi S. , Choudhury S. , Chung J. S. , Danevich F. A. , Djamal M. , Drung D. , Enss C. , Fleischmann A. , Gangapshev A. M. , Gastaldo L. , Gavrilyuk Y. M. , Gezhaev A. M. , Gileva O. , Grigorieva V. D. , Gurentsov V. I. , Ha C. , Ha D. H. , Ha E. J. , Hwang D. H. , Jeon E. J. , Jeon J. A. , Jo H. S. , Kaewkhao J. , Kang C. S. , Kang W. G. , Kazalov V. V. , Kempf S. , Khan A. , Khan S. , Kim D. Y. , Kim G. W. , Kim H. B. , Kim H. J. , Kim H. J. , Kim H. L. , Kim H. S. , Kim M. B. , Kim S. C. , Kim S. K. , Kim S. R. , Kim W. T. , Kim Y. D. , Kim Y. H. , Kirdsiri K. , Ko Y. J. , Kobychev V. V. , Kornoukhov V. , Kuzminov V. V. , Kwon D. H. , Lee C. H. , Lee D. Y. , Lee E. K. , Lee H. J. , Lee H. S. , Lee J. , Lee J. Y. , Lee K. B. , Lee M. H. , Lee M. K. , Lee S. W. , Lee Y. C. , Leonard D. S. , Lim H. S. , Mailyan B. , Makarov E. P. , Nyanda P. , Oh Y. , Olsen S. L. , Panasenko S. I. , Park H. K. , Park H. S. , Park K. S. , Park S. Y. , Polischuk O. G. , Prihtiadi H. , Ra S. , Ratkevich S. S. , Rooh G. , Sari M. B. , Seo J. , Seo K. M. , Sharma B. , Shin K. A. , Shlegel V. N. , Siyeon K. , So J. , Sokur N. V. , Son J. K. , Song J. W. , Srisittipokakun N. , Tretyak V. I. , Wirawan R. , Woo K. R. , Yeon H. J. , Yoon Y. S. , Yue Q. 
Published: June 2024

The AMoRE-II experiment will search for the 0νββ decay of 100Mo nuclei using molybdate crystal scintillators, operating at milli-Kelvin (mK) temperatures, with a total of 80 kg of 100Mo. The background goal for the experiment is 10–4 counts/keV/kg/year in the region of interest around the 0νββ decay Q-value of 3,034 keV. To achieve this level, the rate of background signals arising from emissions produced by decays of radioactive impurities in the detector and shielding materials must be strictly controlled. To do this, concentrations of such impurities are measured and are controlled through materials selection and purification. In this paper, we describe the design and the construction materials used to build the AMoRE-II detector and shielding system, including active and passive shielding, the cryostat, and the detector holders and instrumentation, and we report on measurements of radioactive impurities within candidate and selected materials.
Estimation of soybean yield based on high-throughput phenotyping and machine learning
Authors: Li Xiuni , Chen Menggen , He Shuyuan , Xu Xiangyao , He Lingxiao , Wang Li , Gao Yang , Tang Fenda , Gong Tao , Wang Wenyan , Xu Mei , Liu Chunyan , Yu Liang , Liu Weiguo , Yang Wenyu 
Published: June 2024

IntroductionSoybeans are an important crop used for food, oil, and feed. However, China’s soybean self-sufficiency is highly inadequate, with an annual import volume exceeding 80%. RGB cameras serve as powerful tools for estimating crop yield, and machine learning is a practical method based on various features, providing improved yield predictions. However, selecting different input parameters and models, specifically optimal features and model effects, significantly influences soybean yield prediction.MethodsThis study used an RGB camera to capture soybean canopy images from both the side and top perspectives during the R6 stage (pod filling stage) for 240 soybean varieties (a natural population formed by four provinces in China: Sichuan, Yunnan, Chongqing, and Guizhou). From these images, the morphological, color, and textural features of the soybeans were extracted. Subsequently, feature selection was performed on the image parameters using a Pearson correlation coefficient threshold ≥0.5. Five machine learning methods, namely, CatBoost, LightGBM, RF, GBDT, and MLP, were employed to establish soybean yield estimation models based on the individual and combined image parameters from the two perspectives extracted from RGB images.Results(1) GBDT is the optimal model for predicting soybean yield, with a test set R2 value of 0.82, an RMSE of 1.99 g/plant, and an MAE of 3.12%. (2) The fusion of multiangle and multitype indicators is conducive to improving soybean yield prediction accuracy.ConclusionTherefore, this combination of parameters extracted from RGB images via machine learning has great potential for estimating soybean yield, providing a theoretical basis and technical support for accelerating the soybean breeding process.
Effects of different sowing dates on biomass allocation of various organs and allometric growth of Fagopyrum esculentum
Authors: Wang Heqi , Wang Congwen , Fan Gaohua , Fu Changxing , Huang Yingxin , Liu Xuhe , Wang Shirui , Wang Kunling 
Published: June 2024

IntroductionThe sowing date plays a crucial role in influencing the growth and reproduction of plants, with its specific impact on biomass allocation and allometric growth remaining unclear. Understanding these effects is essential for optimizing agricultural practices and enhancing crop productivity.MethodsTo investigate the effects of sowing dates on biomass allocation and allometric growth, a field experiment was conducted with sequential sowings of Fagopyrum esculentum from April 12th to August 11th in 2018. Biomass measurements were taken across various plant organs, and corresponding allocation calculations were made. A detailed analysis of the allometric growth relationship involving organ biomass variations was performed.ResultsThe study revealed that the accumulation and allocation of organ biomass in buckwheat were significantly impacted by the sowing dates. Delayed planting led to reduced vegetative growth and increased biomass allocation towards reproduction. Allometric parameters such as exponent, constant, and individual size of buckwheat were notably affected by delayed planting. Interestingly, the allometric exponents governing the relationships between reproductive vs. vegetative biomass and belowground vs. aboveground biomass exhibited varying trends across different sowing dates.DiscussionNotably, late sowings resulted in significantly higher reproductive biomass compared to early and middle sowings. These findings highlight the nuanced relationship between plant size and reproductive biomass under different sowing dates, emphasizing the critical role of planting timing in shaping mature plant sizes and reproductive outcomes. The study underscores the importance of considering sowing dates in agricultural practices to optimize plant growth and productivity.
Validating the Spanish translation of the posttraumatic stress disorder checklist (PCL-5) in a sample of individuals with traumatic brain injury
Authors: Haghish E. F. , Sahuquillo Juan , Radoi Andreea , Pomposo Ingio , Lozano Guillermo Carbayo 
Published: June 2024

IntroductionThere is controversy regarding the comorbidity of posttraumatic stress disorder (PTSD) and traumatic brain injury (TBI). The present study translated the PTSD Checklist for DSM-5 (PCL-5) to Spanish and validated it in a sample of patients with TBI 6 months after the injury.MethodsThe study included 233 patients (162 males and 71 females) recruited from four Spanish hospitals within 24 h of traumatic brain injury. A total of 12.2% of the sample met the provisional PTSD diagnostic criteria, and the prevalence was equal between male and female participants.ResultsThe analysis confirmed the internal consistency of the translated instrument (α = 0.95). The concurrent validity of the instrument was confirmed based on high correlation coefficients of 0.7 and 0.74 with the General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire (PHQ-9), respectively. Exploratory factor analysis also confirmed that the items on the PCL-5 can be differentiated from the GAD-7 and PHQ-9 items. Confirmatory factor analysis (CFA) was used to examine the structural validity of the Spanish translation of the PCL-5 with three different models. CFA partially confirmed the four-factor PTSD model, whereas both the six-factor anhedonia model and the seven-factor hybrid model showed adequate fit. However, the difference between the anhedonia and hybrid models was not statistically significant; moreover, both models showed signs of overfitting. Therefore, the utility of these models should be reexamined in future studies.ConclusionOverall, the results suggest that the Spanish translation of the PCL-5 is a reliable and valid instrument for screening PTSD symptoms among Spanish TBI patients. The Spanish translation of the PCL-5 is also presented in the manuscript.
Affect labeling: a promising new neuroscience-based approach to treating combat-related PTSD in veterans
Authors: Burklund Lisa J. , Davies Carolyn D. , Niles Andrea , Torre Jared B. , Brown Lily , Vinograd Meghan , Lieberman Matthew D. , Craske Michelle G. 
Published: June 2024

IntroductionA significant portion of individuals exposed to combat-related trauma will develop posttraumatic stress disorder (PTSD), a severe, debilitating disorder with adverse impacts on both mental and physical functioning. Current treatments are effective for many individuals, however, there is a need for new treatment approaches to improve outcomes in PTSD and address the many existing barriers to seeking or completing treatment.MethodsIn this open trial pilot study, we tested a novel, brief, computer-based intervention for PTSD utilizing “affect labeling” that was inspired by recent advances in neuroscience with U.S. veterans.ResultsAs expected, pre-intervention clinical and fMRI neuroimaging data indicated that U.S. veterans with combat-related PTSD (N = 20) had significantly higher PTSD symptoms, depression symptoms, and amygdala reactivity to trauma cues than trauma-exposed healthy control veterans (N = 20). Veterans with PTSD who completed the affect labeling intervention (N = 13) evidenced reduced PTSD symptoms and these reductions were correlated with reductions in amygdala reactivity.DiscussionResults from this initial proof-of-concept study are intriguing and suggest that affect labeling training offers significant potential as a novel, cost-effective, computer-based intervention for PTSD. Implications and next steps for further developing affect labeling interventions for PTSD are discussed.Clinical Trial Registrationhttps://clinicaltrials.gov/, identifier NCT05924399.
Evaluation of two study demands-resources-based interventions: a randomized controlled trial
Authors: Körner Lorena Sarah , Kortsch Timo , Rieder Kerstin , Rigotti Thomas 
Published: June 2024

IntroductionHigher education students experience significant levels of exhaustion in their studies, yet there are limited evidence-based support programs available. Therefore, this study evaluated a novel intervention approach by testing the effectiveness of two online interventions based on the study demands-resources framework. These interventions aimed to balance demands and resources. Derived from the theoretical assumptions of the framework, we hypothesized that the interventions would increase study and personal resources, engagement, and study crafting, and decrease study demands, exhaustion, and self-undermining. Additionally, we hypothesized that demands and resources would mediate the effects of the intervention on engagement, exhaustion, study crafting, and self-undermining.MethodsConducted as a randomized controlled trial with a waitlist control group (n = 71), the study involved participants in two intervention groups who engaged with the interventions for 2 weeks. Intervention group 1 (n = 64) focused on adapting demands, while intervention group 2 (n = 70) focused on increasing resources. The design allowed for a comparison of the effectiveness of these different approaches. Participants completed questionnaires before and after the intervention, and at a 5-week follow-up.ResultsResults of the analyses of variance with repeated measures revealed that the interventions had significant positive effects on the personal resource mindfulness, two study crafting strategies, self-undermining, and exhaustion. Notably, intervention group 2 exhibited more positive outcomes. The hypothesized mediation effects through mindfulness were partially supported.DiscussionThe study demonstrates the considerable potential of interventions based on the study demands-resources framework for higher education institutions in supporting student well-being.
Perceived chronic social adversity and cyberbullying perpetration among adolescents: the mediating role of rumination and moderating role of mindfulness
Authors: Chen Rui , Hu Yang , Shi Hui-fen , Fang Yong , Fan Cui-ying 
Published: June 2024

BackgroundsThe prevalence of cyberbullying has brought about many adverse effects on adolescents’ mental health. Although current studies have shown that perceived chronic social adversity (PCSA) is closely related to cyberbullying perpetration among adolescents, the underlying mechanism of the relationship between the two remains relatively unclear. This study investigated the association of PCSA, rumination, mindfulness, and cyberbullying perpetration among adolescents, building upon the general strain theory, the general aggressive model, and the limited resource of self-control theory.MethodsA sample of 477 Chinese high school students (Mage = 15.84 years, SDage = 0.67, 49.69% female) completed the Perceived Chronic Social Adversity Questionnaire, the Ruminative Responses Scale, the Child and Adolescent Mindfulness Measure, and the cyberbullying subscale of the Revised Cyber Bullying Inventory. The current study constructed a moderated mediation model to examine the relationship between PCSA and cyberbullying perpetration among adolescents and assessed the mediating role of rumination and the moderating role of mindfulness.ResultsThe results revealed a significant positive correlation between PCSA and cyberbullying perpetration. Rumination mediated the relationship between PCSA and cyberbullying perpetration, whereas mindfulness moderated the latter half of the mediation pathway. Specifically, compared to adolescents with higher mindfulness, the association between rumination and cyberbullying perpetration is greater for adolescents with lower mindfulness.ConclusionThe results further deepen our understanding of the mechanisms linking subjective perception of negative life events and cyberbullying perpetration among adolescents from the interaction of multiple factors, thus providing a basis for future interventions to encourage adolescents to properly cope with social adversity and promote positive mental health to reduce the risk of cyberbullying.
Recovery of adults with autism spectrum disorder during intensive inpatient treatment: a qualitative study
Authors: Bloemert Hendrikje , Sizoo Bram B. , Verhoeven Elisabeth W. M. , Beekman Aartjan , van Meijel Berno 
Published: June 2024

IntroductionAlthough some adults with autism spectrum disorder (ASD) require intensive and specialized ASD treatment, there is little research on how these adults experience the recovery process. Recovery is defined as the significant improvement in general functioning compared to the situation prior to treatment.MethodsThis qualitative study describes the recovery process from the perspective of adults on the autism spectrum during intensive inpatient treatment. Semi-structured interviews (n = 15) were carried out and analyzed according to the principles of grounded theory.ResultsOur results indicate that, given the specific characteristics of autism, therapeutic interventions and goal-oriented work cannot be carried out successfully, and the recovery process cannot begin, if no good working relationship has been established, and if care is not organized in ways that a person on the autism spectrum finds clear and predictable.
Assessing the associations of 1,400 blood metabolites with major depressive disorder: a Mendelian randomization study
Authors: Dong Tiantian , Wang Xingxin , Jia Zhixia , Yang Jiguo , Liu Yuanxiang 
Published: June 2024

Background and objectivesMajor Depressive Disorder (MDD) is one of the most prevalent and debilitating health conditions worldwide. Previous studies have reported a link between metabolic dysregulation and MDD. However, evidence for a causal relationship between blood metabolites and MDD is lacking.MethodsUsing a two-sample bidirectional Mendelian randomization analysis (MR), we assessed the causal relationship between 1,400 serum metabolites and Major Depressive Disorder (MDD). The Inverse Variance Weighted method (IVW) was employed to estimate the causal association between exposures and outcomes. Additionally, MR-Egger regression, weighted median, simple mode, and weighted mode methods were used as supplementary approaches for a comprehensive appraisal of the causality between blood metabolites and MDD. Pleiotropy and heterogeneity tests were also conducted. Lastly, the relevant metabolites were subjected to metabolite function analysis, and a reverse MR was implemented to explore the potential influence of MDD on these metabolites.ResultsAfter rigorous screening, we identified 34 known metabolites, 13 unknown metabolites, and 18 metabolite ratios associated with Major Depressive Disorder (MDD). Among all metabolites, 33 were found to have positive associations, and 32 had negative associations. The top five metabolites that increased the risk of MDD were the Arachidonate (20:4n6) to linoleate (18:2n6) ratio, LysoPE(18:0/0:0), N-acetyl-beta-alanine levels, Arachidonate (20:4n6) to oleate to vaccenate (18:1) ratio, Glutaminylglutamine, and Threonine to pyruvate ratio. Conversely, the top five metabolites that decreased the risk of MDD were N6-Acetyl-L-lysine, Oleoyl-linoleoyl-glycerol (18:1 to 18:2) [2] to linoleoyl-arachidonoyl-glycerol (18:2 to 20:4) [2] ratio, Methionine to phosphate ratio, Pregnanediol 3-O-glucuronide, and 6-Oxopiperidine-2-carboxylic acid. Metabolite function enrichment was primarily concentrated in pathways such as Bile Acid Biosynthesis (FDR=0.177), Glutathione Metabolism (FDR=0.177), Threonine, and 2-Oxobutanoate Degradation (FDR=0.177). In addition, enrichment was noted in pathways like Valine, Leucine, and Isoleucine Biosynthesis (p=0.04), as well as Ascorbate and Aldarate Metabolism (p=0.04).DiscussionWithin a pool of 1,400 blood metabolites, we identified 34 known metabolites and 13 unknown metabolites, as well as 18 metabolite ratios associated with Major Depressive Disorder (MDD). Additionally, three functionally enriched groups and two metabolic pathways were selected. The integration of genomics and metabolomics has provided significant insights for the screening and prevention of MDD.
Clinical decision-making before discharge in hospitalized persons with schizophrenia: a Spanish Delphi expert consensus
Authors: Montes José Manuel , Agüera-Ortiz Luis , Mané Anna , Martinez-Raga Jose , Gutiérrez-Rojas Luis 
Published: June 2024

IntroductionThe care of people with schizophrenia (PWS) is usually provided in an outpatient setting by community mental health teams. However, PWS frequently require inpatient treatment because of a wide array of clinical, personal and/or social situations. Unfortunately, to our knowledge, there are no guidelines available to help psychiatrists in the decision-making process on hospital discharge for PWS. The aim of this project was to develop an expert consensus on discharge criteria for PWS after their stay in an acute inpatient psychiatric unit.MethodsUsing a modified Delphi method a group of 42 psychiatrists throughout Spain evaluated four areas of interest regarding this issue: clinical symptomatology, treatment-related factors, follow-up health care units after discharge, and physical health and monitoring.ResultsAfter two rounds, among the 64 statements, a consensus was reached for 59 (92.2%) statements. In three (17.7%) of the 17 statements on ‘clinical symptomatology’ and 2 (13.3%) of the 15 statements on ‘follow-up health care units after discharge’, a consensus was not reached; in contrast, a consensus was reached for all statements concerning ‘treatment-related factors’ and those concerning ‘physical health and monitoring’. The consensus results highlight the importance for discharge of the control of symptoms rather than their suppression during admission and of tolerability in the selection of anantipsychotic.DiscussionAlthough there is a lack of relevant data for guiding the discharge of PWS after hospitalization in an acute inpatient psychiatric unit, we expect that this consensus based on expert opinion may help clinicians to take appropriate decisions.