bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychosocial Contributors to Depressive Symptoms in Hispanic Patients With Type 2 Diabetes
Authors: Mansyur Carol L. , Rustveld Luis O. , Nash Susan G. , Jibaja-Weiss Maria L. 
Published: October 2021

Purpose The purpose of this study is to identify psychosocial factors associated with depressive symptoms in Hispanic patients with diabetes and explore the extent to which their effects may vary by gender and acculturation. Methods The authors completed a secondary analysis of data from 247 Hispanic adults with type 2 diabetes. Gender and language groups were compared using chi-square and t tests. Hierarchical multiple regression was used to examine associations of depressive symptoms with perceived support, diabetes-related distress, and social and personal factors. Results Women reported less support than men. English speakers reported more depressive symptoms than Spanish speakers. When adjusting for age, gender, and acculturation, psychosocial factors significantly associated with depressive symptoms included less support received, greater emotional burden, and less ability to socialize or pursue normal activities because of diabetes. Conclusions Social support provided by family among less acculturated Hispanics may play an important role in reducing emotional burden and lowering the risk of comorbid depression. The quality of interpersonal relationships and the ability to continue normal activities may also be important. More acculturated Hispanic women with diabetes may be at greater risk for comorbid depression and worse health outcomes. Screening for depression and assessment of support needs is warranted for Hispanic women.
How I treat high-risk multiple myeloma
Authors: Zamagni Elena , Barbato Simona , Cavo Michele 
Published: November 2021

Abstract
Survival of multiple myeloma (MM) has significantly improved over the past decade; however, a composed group of patients (15% to 20%), named high-risk (HR) MM, still experiences reduced survival. Both tumor biology and suboptimal/absent responses to therapy may underlie HR definition and a clear uniform identification of risk factors is crucial for proper management of these patients. In biologic HRMM, MRD attaining and sustaining negativity, inside and outside bone marrow, should be the primary goal and therapy should be adapted in patients with frailty to reduce toxicity and improve quality of life. MM treatment has traditionally been tailored to age and more recently frailty or comorbidities, but very rarely to the biology of the disease, mainly because of the lack of a clear benefit derived from a specific drug/combination, inhomogeneity in HR definition, and lack of data coming from prospective, properly designed clinical trials. Some attempts have been successfully made in this direction. In this review, we discuss the current definitions of HR and the need for a consensus, the results of available trials in HR patients, and the way through risk-adapted treatment strategies. For this purpose, we propose several clinical cases of difficult-to-treat patients throughout different treatment phases.
A drug repositioning algorithm based on a deep autoencoder and adaptive fusion
Authors: Chen Peng , Bao Tianjiazhi , Yu Xiaosheng , Liu Zhongtu 
Published: October 2021

Abstract
Background
Drug repositioning has caught the attention of scholars at home and abroad due to its effective reduction of the development cost and time of new drugs. However, existing drug repositioning methods that are based on computational analysis are limited by sparse data and classic fusion methods; thus, we use autoencoders and adaptive fusion methods to calculate drug repositioning.

Results
In this study, a drug repositioning algorithm based on a deep autoencoder and adaptive fusion was proposed to mitigate the problems of decreased precision and low-efficiency multisource data fusion caused by data sparseness. Specifically, a drug is repositioned by fusing drug-disease associations, drug target proteins, drug chemical structures and drug side effects. First, drug feature data integrated by drug target proteins and chemical structures were processed with dimension reduction via a deep autoencoder to characterize feature representations more densely and abstractly. Then, disease similarity was computed using drug-disease association data, while drug similarity was calculated with drug feature and drug-side effect data. Predictions of drug-disease associations were also calculated using a top-k neighbor method that is commonly used in predictive drug repositioning studies. Finally, a predicted matrix for drug-disease associations was acquired after fusing a wide variety of data via adaptive fusion. Based on experimental results, the proposed algorithm achieves a higher precision and recall rate than the DRCFFS, SLAMS and BADR algorithms with the same dataset.

Conclusion
The proposed algorithm contributes to investigating the novel uses of drugs, as shown in a case study of Alzheimer's disease. Therefore, the proposed algorithm can provide an auxiliary effect for clinical trials of drug repositioning.
Impact of model assumptions on demographic inferences: the case study of two sympatric mouse lemurs in northwestern Madagascar
Authors: Teixeira Helena , Salmona Jordi , Arredondo Armando , Mourato Beatriz , Manzi Sophie , Rakotondravony Romule , Mazet Olivier , Chikhi Lounès , Metzger Julia , Radespiel Ute 
Published: November 2021

AbstractBackgroundQuaternary climate fluctuations have been acknowledged as major drivers of the geographical distribution of the extraordinary biodiversity observed in tropical biomes, including Madagascar. The main existing framework for Pleistocene Malagasy diversification assumes that forest cover was strongly shaped by warmer Interglacials (leading to forest expansion) and by cooler and arid glacials (leading to forest contraction), but predictions derived from this scenario for forest-dwelling animals have rarely been tested with genomic datasets.ResultsWe generated genomic data and applied three complementary demographic approaches (Stairway Plot,PSMCandIICR-simulations) to infer population size and connectivity changes for two forest-dependent primate species (Microcebus murinusandM. ravelobensis) in northwestern Madagascar. The analyses suggested major demographic changes in both species that could be interpreted in two ways, depending on underlying model assumptions (i.e., panmixia or population structure). Under panmixia, the two species exhibited larger population sizes across the Last Glacial Maximum (LGM) and towards the African Humid Period (AHP). This peak was followed by a population decline inM. ravelobensisuntil the present, whileM. murinusmay have experienced a second population expansion that was followed by a sharp decline starting 3000 years ago. In contrast, simulations under population structure suggested decreasing population connectivity between the Last Interglacial and the LGM for both species, but increased connectivity during the AHP exclusively forM. murinus.ConclusionOur study shows that closely related species may differ in their responses to climatic events. Assuming that Pleistocene climatic conditions in the lowlands were similar to those in the Malagasy highlands, some demographic dynamics would be better explained by changes in population connectivity than in population size. However, changes in connectivity alone cannot be easily reconciled with a founder effect that was shown forM. murinusduring its colonization of the northwestern Madagascar in the late Pleistocene. To decide between the two alternative models, more knowledge about historic forest dynamics in lowland habitats is necessary. Altogether, our study stresses that demographic inferences strongly depend on the underlying model assumptions. Final conclusions should therefore be based on a comparative evaluation of multiple approaches.
Independence estimators for re-randomisation trials in multi-episode settings: a simulation study
Authors: Kahan Brennan C. , White Ian R. , Eldridge Sandra , Hooper Richard 
Published: October 2021

Abstract
Background
Re-randomisation trials involve re-enrolling and re-randomising patients for each new treatment episode they experience. They are often used when interest lies in the average effect of an intervention across all the episodes for which it would be used in practice. Re-randomisation trials are often analysed using independence estimators, where a working independence correlation structure is used. However, research into independence estimators in the context of re-randomisation has been limited.

Methods
We performed a simulation study to evaluate the use of independence estimators in re-randomisation trials. We focussed on a continuous outcome, and the setting where treatment allocation does not affect occurrence of subsequent episodes. We evaluated different treatment effect mechanisms (e.g. by allowing the treatment effect to vary across episodes, or to become less effective on re-use, etc), and different non-enrolment mechanisms (e.g. where patients who experience a poor outcome are less likely to re-enrol for their second episode). We evaluated four different independence estimators, each corresponding to a different estimand (per-episode and per-patient approaches, and added-benefit and policy-benefit approaches).

Results
We found that independence estimators were unbiased for the per-episode added-benefit estimand in all scenarios we considered. We found independence estimators targeting other estimands (per-patient or policy-benefit) were unbiased, except when there was differential non-enrolment between treatment groups (i.e. when different types of patients from each treatment group decide to re-enrol for subsequent episodes). We found the use of robust standard errors provided close to nominal coverage in all settings where the estimator was unbiased.

Conclusions
Careful choice of estimand can ensure re-randomisation trials are addressing clinically relevant questions. Independence estimators are a useful approach, and should be considered as the default estimator until the statistical properties of alternative estimators are thoroughly evaluated.
Characteristics of the corpus callosum in chronic schizophrenia treated with clozapine or risperidone and those never-treated
Authors: Tao Bo , Xiao Yuan , Cao Hengyi , Zhang Wenjing , Yang Chengmin , Lencer Rebekka , Gong Qiyong , Lui Su 
Published: October 2021

Abstract
Background
The corpus callosum (CC) deficits have been well documented in chronic schizophrenia. However, the long-term impacts of antipsychotic monotherapies on callosal anatomy remain unclear. This cross-sectional study sought to explore micro- and macro-structural characteristics of the CC in never-treated patients and those with long-term mono-antipsychotic treatment.

Methods
The study included 23 clozapine-treated schizophrenia patients (CT-SCZ), 19 risperidone-treated schizophrenia patients (RT-SCZ), 23 never-treated schizophrenia patients (NT-SCZ), and 35 healthy controls (HCs). High resolution structural images and diffusion tensor imaging (DTI) data for each participant were obtained via a 3.0 T MR scanner. FreeSurfer was used to examine the volumes and fractional anisotropy (FA) values of the CC for each participant.

Results
There were significant deficits in the total and sub-regional CC volume and white matter integrity in NT-SCZ in comparison with healthy subjects. Compared with NT-SCZ, both CT-SCZ and RT-SCZ showed significantly increased FA values in the anterior CC region, while only RT-SCZ showed significantly increased volume in the mid-anterior CC region. Moreover, the volume of the mid-anterior CC region was significantly smaller in CT-SCZ compared to HCs. No correlations of clinical symptoms with callosal metrics were observed in schizophrenia patients.

Conclusions
Our findings provide insight into micro- and macro-structural characteristics of the CC in chronic schizophrenia patients with or without antipsychotics. These results suggest that the pathology itself is responsible for cerebral abnormalities in schizophrenia and that chronic exposure to antipsychotics may have an impact on white matter structure of schizophrenia patients, especially in those with risperidone treatment.
Defending the city’s cleanliness with their lives? A study of road traffic collisions involving sanitation workers in China over five years
Authors: Wei Lifeng , Sha Zhuowa , Jia Haonan , Wang Yidong , Zhang Gangyu , Li Yuanheng , Wang Yameng , Zhou Shuang , Wang Ying , Liu Chao , Jiao Mingli , Mao Jingfu , Wu Qunhong 
Published: November 2021

Abstract
Background
With increasing urbanization in developing countries, sanitation workers are frequently involved in road traffic collisions. Our purpose was to study specific collisions involving sanitation workers and provide decision-making suggestions and reference measures for the sanitation industry and urban managers to reduce the occurrence of collisions.

Methods
We obtained online news data about sanitation worker road traffic collisions in China between 2013 and 2017 and analyzed occurrence time and location, victim characteristics, and causes of collisions.

Results
In China, between 2013 and 2017, 511 road traffic collisions were reported, with the fewest in February and July. Most occurred around 5:00 a.m. in Eastern regions and in urban areas. Victims were mainly over 50 years old, with more females than males. Collisions usually resulted in death at the scene. The ambiguity of laws, the exploitation of workers through industry outsourcing, and the difficulty of processing claims may be the main factors preventing victims from obtaining legal compensation.

Conclusions
The most common cause of collisions was drivers’ speeding, but workers also regularly risk death by crossing the road in pursuit of their duties. The absence of legal controls for environmental protection, the excessive pursuit of efficiency in urban governance, and the lack of basic education of sanitation workers are underlying causes of collisions. Raising awareness about sanitation worker road traffic collisions will help protect the work safety rights of this vulnerable group.
Repeated bronchoscopy in health and obstructive lung disease: is the airway microbiome stable?
Authors: Nielsen Rune , Xue Yaxin , Jonassen Inge , Haaland Ingvild , Kommedal Øyvind , Wiker Harald G. , Drengenes Christine , Bakke Per S. , Eagan Tomas M. L. 
Published: November 2021

Abstract
Objective
Little is known concerning the stability of the lower airway microbiome. We have compared the microbiota identified by repeated bronchoscopy in healthy subjects and patients with ostructive lung diseaseases (OLD).

Methods
21 healthy controls and 41 patients with OLD completed two bronchoscopies. In addition to negative controls (NCS) and oral wash (OW) samples, we gathered protected bronchoalveolar lavage in two fractions (PBAL1 and PBAL2) and protected specimen brushes (PSB). After DNA extraction, we amplified the V3V4 region of the 16S rRNA gene, and performed paired-end sequencing (Illumina MiSeq). Initial bioinformatic processing was carried out in the QIIME-2 pipeline, identifying amplicon sequence variants (ASVs) with the DADA2 algorithm. Potentially contaminating ASVs were identified and removed using the decontam package in R and the sequenced NCS.

Results
A final table of 551 ASVs consisted of 19 × 106 sequences. Alpha diversity was lower in the second exam for OW samples, and borderline lower for PBAL1, with larger differences in subjects not having received intercurrent antibiotics. Permutational tests of beta diversity indicated that within-individual changes were significantly lower than between-individual changes. A non-parametric trend test showed that differences in composition between the two exams (beta diversity) were largest in the PSBs, and that these differences followed a pattern of PSB > PBAL2 > PBAL1 > OW. Time between procedures was not associated with increased diversity.

Conclusion
The airways microbiota varied between examinations. However, there is compositional microbiota stability within a person, beyond that of chance, supporting the notion of a transient airways microbiota with a possibly more stable individual core microbiome.
Quantitative analysis of the ACL and PCL using T1rho and T2 relaxation time mapping: an exploratory, cross-sectional comparison between OA and healthy control knees
Authors: Ranmuthu Chanuka D. S. , MacKay James W. , Crowe Victoria A. , Kaggie Joshua D. , Kessler Dimitri A. , McDonnell Stephen M. 
Published: October 2021

Abstract
Background
Quantitative magnetic resonance imaging (MRI) methods such as T1rho and T2 mapping are sensitive to changes in tissue composition, however their use in cruciate ligament assessment has been limited to studies of asymptomatic populations or patients with posterior cruciate ligament tears only. The aim of this preliminary study was to compare T1rho and T2 relaxation times of the anterior cruciate ligament (ACL) and posterior cruciate ligament (PCL) between subjects with mild-to-moderate knee osteoarthritis (OA) and healthy controls.

Methods
A single knee of 15 patients with mild-to-moderate knee OA (Kellgren-Lawrence grades 2–3) and of 6 age-matched controls was imaged using a 3.0 T MRI. Three-dimensional (3D) fat-saturated spoiled gradient recalled-echo images were acquired for morphological assessment and T1ρ- and T2-prepared pseudo-steady-state 3D fast spin echo images for compositional assessment of the cruciate ligaments. Manual segmentation of whole ACL and PCL, as well as proximal / middle / distal thirds of both ligaments was carried out by two readers using ITK-SNAP and mean relaxation times were recorded. Variation between thirds of the ligament were assessed using repeated measures ANOVAs and differences in these variations between groups using a Kruskal-Wallis test. Inter- and intra-rater reliability were assessed using intraclass correlation coefficients (ICCs).

Results
In OA knees, both T1rho and T2 values were significantly higher in the distal ACL when compared to the rest of the ligament with the greatest differences in T1rho (e.g. distal mean = 54.5 ms, proximal = 47.0 ms, p < 0.001). The variation of T2 values within the PCL was lower in OA knees (OA: distal vs middle vs proximal mean = 28.5 ms vs 29.1 ms vs 28.7 ms, p = 0.748; Control: distal vs middle vs proximal mean = 26.4 ms vs 32.7 ms vs 33.3 ms, p = 0.009). ICCs were excellent for the majority of variables.

Conclusion
T1rho and T2 mapping of the cruciate ligaments is feasible and reliable. Changes within ligaments associated with OA may not be homogeneous. This study is an important step forward in developing a non-invasive, radiological biomarker to assess the ligaments in diseased human populations in-vivo.
Nattokinase crude extract enhances oral mucositis healing
Authors: Zhang Junyao , Tang Yu , Yuan Tao , Yang Mengting , Fang Wenjing , Li Li , Fei Fei , Gong Aihua 
Published: October 2021

Abstract
Background
Nattokinase (NK) is a promising alternative in the prevention and treatment of cardiovascular diseases due to its potent fibrinolytic activity. In this study, we investigated the effect of crude nattokinase extract on the healing of acetic acid-induced oral mucositis in mice.

Methods
Bacillus subtilis culture media (BSCM) was isolated into the supernatant, named nattokinase crude extract (NCE), and the pellet was named Bacillus subtilis mass (BSM). An oral mucositis model was established in mice by applying 50% glacial acetic acid to the buccal mucosa. According to the treatment conditions, the mice were divided into BSCM, NCE, BSM and phosphate buffered saline (PBS) groups. The weight of the mice, oral mucositis healing score and histopathological examination were used to evaluate the treatment.

Results
Fibrinolytic activities of BSCM, NCE and BSM were approximately 8069, 10,800 and 80 U/ml, respectively. The weight gain of mice in the NCE group was significantly different from the PBS group after three days’ treatment (p < 0.05). The oral mucositis score of NCE group was significantly higher than other groups (p < 0.05). The differences in histopathology scores between the NCE and other groups were statistically significant (p < 0.01).

Conclusions
NCE could possess remarkable potential to reduce pain and promote oral mucositis healing with minimal safety concerns. In this study, we first report that NCE from the supernatant of Bacillus subtilis can promote the healing of oral mucositis, which extends the application scope of NK.
Coping strategies mediate the association between stigma and fertility quality of life in infertile women undergoing in vitro fertilization-embryo transfer
Authors: Jing Xiaoyu , Gu Wei , Zhang Lu , Miao Runna , Xu Xiuli , Wang Min , Ramachandran Hadassah Joann , Wang Wenru 
Published: November 2021

Abstract
Background
The mediating role of coping strategies and its relationship with psychological well-being and quality of life has been considered in the literature. However, there is little research to explore the mechanism of coping strategies on stigma and fertility quality of life (FertiQoL) in infertile women undergoing In Vitro Fertilization Embryo Transfer (IVF-ET). The aim of this study was to examine the mediating effect of coping strategies on the relationship between stigma and fertility quality of life (FertiQoL) in Chinese infertile women undergoing In Vitro Fertilization Embryo Transfer (IVF-ET).

Methods
In this cross-sectional study, a total of 768 infertile women undergoing IVF-ET were recruited from Assisted Reproductive Center of Shaanxi Province, China. The personal information, infertility stigma scale, coping strategy scale and FertiQoL scale were measured using a set of questionnaires. The multiple mediator model was performed using AMOS 21.0.

Results
The model showed a significant negative direct effect between stigma on FertiQoL. There were significantly negative indirect effects of stigma on FertiQoL through active-avoidance, active-confronting and passive-avoidance, respectively. The meaning-based coping played a positive intermediary role. The model explained 69.4% of the variance in FertiQoL.

Conclusion
Active-avoidance coping strategy is the most important mediator factor between stigma and FertiQoL in infertile women undergoing IVF-ET treatment. Meaning-based coping strategy plays a positive mediating role between stigma and FertiQoL.