bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic value of testosterone for the castration-resistant prostate cancer patients: a systematic review and meta-analysis
Authors: Miura Noriyoshi , Mori Keiichiro , Mostafaei Hadi , Quhal Fahad , Sari Motlagh Reza , Abufaraj Mohammad , Pradere Benjamin , Aydh Abdulmajeed , Laukhtina Ekaterina , D’Andrea David , Saika Takashi , Shariat Shahrokh F. 
Published: July 2020

Abstract
Introduction
This systematic review and meta-analysis aimed to assess the prognostic value of testosterone in patients with castration-resistant prostate cancer (CRPC).

Materials and methods
PubMed, Web of Science, and Scopus databases were systematically searched until December 2019, according to the Preferred Reporting Items for Systemic Review and Meta-analysis statement. The endpoints were progression-free survival (PFS) and overall survival (OS).

Results
We identified 11 articles with 4206 patients for systematic review and nine articles with 4136 patients for meta-analysis. Higher testosterone levels were significantly associated with better OS (pooled HR 0.74, 95% CI 0.58–0.95) and better PFS (pooled HR 0.51, 95% CI 0.30–0.87). Subgroup analyses based on the treatment type revealed that higher testosterone levels were significantly associated with better OS in CRPC patients treated with androgen receptor-targeted agents (ARTAs) (pooled HR 0.64, 95% CI 0.55–0.75), but not in those treated with chemotherapy (pooled HR 0.78, 95% CI 0.53–1.14).

Conclusion
This meta-analysis demonstrated that the PFS and OS were significantly greater in patients with CRPC in those with higher testosterone levels than that of those with lower testosterone levels. In the subgroup analyses, lower testosterone levels were a consistently poor prognostic factor for OS in patients treated with ARTAs, but not in those treated with chemotherapy. Therefore, higher testosterone levels could be a useful biomarker to identify patient subgroups in which ARTAs should be preferentially recommended in the CRPC setting.
Farmer-led approaches to increasing tree diversity in fields and farmed landscapes in Ethiopia
Authors: Derero Abayneh , Coe Richard , Muthuri Catherine , Hadgu Kiros M. , Sinclair Fergus 
Published: July 2020

AbstractIncreasing tree cover and managing trees better on farms in Ethiopia supports livelihoods and the environment but most tree-planting schemes promote only a few species. This research aimed to understand farmers’ tree planting priorities in Oromia, Ethiopia and address challenges involved in meeting them. Tree species and planting niches were elicited through focus group discussions. Participatory trials compared 17 tree species across seven on-farm planting niches and seedling survival and growth patterns were evaluated. Farmers suggested a high diversity of tree species suitable for each niche with fruit species mainly selected for homesteads. The diversity of desired tree species is much higher than that typically available in nurseries or promoted by tree planting projects. Meeting planting demands was difficult because the existing seedling supply does not support diversity. Evaluation of tree survival showed striking differences among species, farms, agroecologies and planting niches. There was high variation in seedling survival amongst the tree species planted on 1893 farm/planting niche locations, indicating impact of local level risk factors attributable to management, biotic and abiotic causes. Growth differences of the six shared species common to both agroecologies across different niches, showed that the effects of species and niche were significant on growth. A farmer-led approach to increasing tree cover that couples understanding of species and planting niche preferences with appropriate seedling supply and management is proposed as a means to increase the diversity of trees in farmed landscapes.
DP structure and internally headed relatives in Washo
Authors: Hanink Emily A. 
Published: July 2020

AbstractThis paper contributes to recent lines of inquiry addressing the nature of indices in definite expressions. The primary language of investigation is Washo, a North American isolate spoken in the western United States. Building on previous claims about the structure of anaphoric definites, I propose a unified analysis of the Washo DP that lends novel evidence to the claim that indices are best thought of as syntactic objects in their own right, independent from D. The structurally encoded index—introduced by a headidx—is shown to be overtly realized by the morphemegi/gein both pronouns and demonstratives, as well as at the periphery of internally headed relative clauses, which are themselves complex DPs. An important aspect of this proposal is the argument that idx can play two related semantic roles: The semantic index it hosts can be interpreted either as a variable, as previously proposed for familiar definites, or itself as avariable binder. The availability of the latter explains the appearance ofgi/gein internally headed relatives. I show moreover that the exponence of idx in Washo is sensitive to the type of complement it takes, a proposal that makes sense of the observed distribution ofgi/gein a range of definite expressions.
17α-ethynylestradiol (EE2) limits the impact of ibuprofen upon respiration by streambed biofilms in a sub-urban stream
Authors: McClean Peter , Hunter William Ross 
Published: July 2020

AbstractPharmaceutical compounds such as the non-steroidal anti-inflammatory drug ibuprofen and the artificial estrogen 17α-ethynylestradiol (EE2) are contaminants of emerging concern in freshwater systems. Globally, human pharmaceutical use is growing by around ~ 3% per year; yet, we know little about how interactions between different pharmaceuticals may affect aquatic ecosystems. Here, we test how interactions between ibuprofen and EE2 affect the growth and respiration of streambed biofilms. We used contaminant exposure experiments to quantify how these compounds affected biofilm growth (biomass), respiration, net primary production (NPP) and gross primary production (GPP), both individually and in combination. We found no effects of either ibuprofen or EE2 on biofilm biomass (using ash-free dry mass as a proxy) or gross primary production. Ibuprofen significantly reduced biofilm respiration and altered NPP. Concomitant exposure to EE2, however, counteracted the inhibitory effects of ibuprofen upon biofilm respiration. Our study, thus, demonstrates that interactions between pharmaceuticals in the environment may have complex effects upon microbial contributions to aquatic ecosystem functioning.
Microglia: A Central Player in Depression
Authors: Deng Si-long , Chen Jian-guo , Wang Fang 
Published: July 2020

SummaryMicroglia are the major immune cells in the central nervous system and play a key role in the normal function of the brain. Microglia exhibit functional diversity, and they control the inflammation in central nervous system through releasing inflammatory cytokine, clearing apoptotic cells via phagocytosis, regulating synaptic plasticity and the formation of neural network by synapse pruning. Recent studies have strongly indicated that the microglial dysfunction is associated with a variety of neuropsychiatric diseases such as depression, which have been termed as “microgliopathy”. The emergency of advanced technologies and tools has enabled us to comprehensively understand the role of microglia in physiology and pathology, and growing studies have targetted microglia to explore the treatment of neuropsychiatric diseases. Here, we describe the key progress of microglia research, and review the recent developments in the understanding of the role of microglia in physiology and etiology of depression.
Propagation of singularities for generalized solutions to nonlinear wave equations
Authors: Deguchi Hideo , Oberguggenberger Michael 
Published: July 2020

AbstractThe paper is devoted to regularity theory of generalized solutions to semilinear wave equations with a small nonlinearity. The setting is the one of Colombeau algebras of generalized functions. It is shown that in one space dimension, an initial singularity at the origin propagates along the characteristic lines emanating from the origin, as in the linear case. The proof is based on a fixed point theorem in a suitable ultrametric topology on the subset of Colombeau solutions possessing the required regularity. The paper takes up the initiating research of the 1970s on anomalous singularities in classical solutions to semilinear hyperbolic equations, and shows that the same behavior is attained in the case of non-classical, generalized solutions.
Is There a Governing Role of Osteocytes in Bone Tissue Regeneration?
Authors: Cao Wei , Helder Marco N. , Bravenboer Nathalie , Wu Gang , Jin Jianfeng , ten Bruggenkate Christiaan M. , Klein-Nulend Jenneke , Schulten Engelbert A. J. M. 
Published: July 2020

Abstract
Purpose of Review
Bone regeneration plays an important role in contemporary clinical treatment. Bone tissue engineering should result in successful bone regeneration to restore congenital or acquired bone defects in the human skeleton. Osteocytes are thought to have a governing role in bone remodeling by regulating osteoclast and osteoblast activity, and thus bone loss and formation. In this review, we address the so far largely unknown role osteocytes may play in bone tissue regeneration.

Recent Findings
Osteocytes release biochemical signaling molecules involved in bone remodeling such as prostaglandins, nitric oxide, Wnts, and insulin-like growth factor-1 (IGF-1). Treatment of mesenchymal stem cells in bone tissue engineering with prostaglandins (e.g., PGE2, PGI2, PGF2α), nitric oxide, IGF-1, or Wnts (e.g., Wnt3a) improves osteogenesis.

Summary
This review provides an overview of the functions of osteocytes in bone tissue, their interaction with other bone cells, and their role in bone remodeling. We postulate that osteocytes may have a pivotal role in bone regeneration as well, and consequently that the bone regeneration process may be improved effectively and rapidly if osteocytes are optimally used and stimulated.
High-Performance Aqueous Zinc-Ion Batteries Realized by MOF Materials
Authors: Pu Xuechao , Jiang Baozheng , Wang Xianli , Liu Wenbao , Dong Liubing , Kang Feiyu , Xu Chengjun 
Published: July 2020

AbstractRechargeable aqueous zinc-ion batteries (ZIBs) have been gaining increasing interest for large-scale energy storage applications due to their high safety, good rate capability, and low cost. However, the further development of ZIBs is impeded by two main challenges: Currently reported cathode materials usually suffer from rapid capacity fading or high toxicity, and meanwhile, unstable zinc stripping/plating on Zn anode seriously shortens the cycling life of ZIBs. In this paper, metal–organic framework (MOF) materials are proposed to simultaneously address these issues and realize high-performance ZIBs with Mn(BTC) MOF cathodes and ZIF-8-coated Zn (ZIF-8@Zn) anodes. Various MOF materials were synthesized, and Mn(BTC) MOF was found to exhibit the best Zn2+-storage ability with a capacity of 112 mAh g−1. Zn2+ storage mechanism of the Mn(BTC) was carefully studied. Besides, ZIF-8@Zn anodes were prepared by coating ZIF-8 MOF material on Zn foils. Unique porous structure of the ZIF-8 coating guided uniform Zn stripping/plating on the surface of Zn anodes. As a result, the ZIF-8@Zn anodes exhibited stable Zn stripping/plating behaviors, with 8 times longer cycle life than bare Zn foils. Based on the above, high-performance aqueous ZIBs were constructed using the Mn(BTC) cathodes and the ZIF-8@Zn anodes, which displayed an excellent long-cycling stability without obvious capacity fading after 900 charge/discharge cycles. This work provides a new opportunity for high-performance energy storage system.
Behavioral public strategy
Authors: GEORGE BERT 
Published: July 2020

AbstractHow can we stimulate policymakers to make strategic decisions that enhance public service performance? Traditional strategy theories have not enabled us to answer this question. These theories focus on strategy processes or content in public organizations and networks and directly link these to public service performance. This article defines and elaborates on a conceptual framework that uses theory from behavioral science to unravel how policymakers can make strategic decisions that actually enhance the performance of public organizations and networks. This conceptual framework is labeled ‘behavioral public strategy’ and conceptualizes public strategy as a social process shaped by the individuals, teams and tools underlying it. Behavioral public strategy thus focuses on the micro-foundations of public strategy and how these micro-foundations influence strategic decisions. Moreover, behavioral public strategy links meso- and micro-levels by proposing a bathtub model where the relationship between public strategy and public service performance at the organizational and network levels is explained by the relationship between the micro-foundations of public strategy and the ensuing strategic decisions at the individual and team levels. This article connects three research streams that have been like ‘ships that pass in the night’, namely public strategy, behavioral public policy and behavioral public administration.
Effectiveness and Recommendations for the Use of Dental Masks in the Prevention of COVID-19: A Literature Review
Authors: Arellano-Cotrina Josabet Johana , Marengo-Coronel Nicole , Atoche-Socola Katherine Joselyn , Peña-Soto Claudio , Arriola-Guillén Luis Ernesto 
Published: July 2020

ABSTRACTThe purpose of this investigation was to identify, synthesize, and compare all the current information on the efficacy of dental masks, emphasizing their use, types, and filters to prevent the spread and infection of COVID-19 and other infectious diseases. A bibliographic search of the main scientific databases was carried out using the words “masks, COVID-19, and dentistry.” Articles without language restriction up to May 31, 2020, were obtained. The types of masks, their half-life, method to use, sterilization, and proposed alternatives for dental masks were analyzed. Most of the articles refer to the use of N95 or FFP2 respirators presented as a strategy to extend the life of the masks and limited reuse. Regarding sterilization, most of the articles presented studies using ultraviolet germicidal irradiation as the sterilization method. Regarding respirator mask half-life, we recommend prolonged use, combined with a disposable surgical mask over the respirator mask. Finally, the use of N95 or FFP2 respirators are recommended as part of personal protective equipment for dental use.
Substituting chemical fertilizer nitrogen with organic manure and comparing their nitrogen use efficiency and winter wheat yield
Authors: Yang Y. J. , Lei T. , Du W. , Liang C. L. , Li H. D. , Lv J. L. 
Published: July 2020

AbstractA 2-year fertilization experiment was conducted to study the effect of different ratios of organic (pig) manure on wheat yield and nitrogen use efficiency (NUE). The four treatments were no nitrogen (N) (CK); 100% chemical fertilizer N (urea; T1); 70% chemical fertilizer N + 30% organic manure N (T2) and 50% chemical fertilizer N + 50% organic manure N (T3), with the same amount of applied nitrogen (120 kg/ha). The results showed the maximum grain yield (3049 kg/ha), crop nitrogen uptake (216 kg/ha), NUE (65.4%) and accumulated nitrate nitrogen (NO3−-N in 0–200 cm, 142 kg/ha) were observed in the T1 among all treatments in the first year. However, the largest grain yield (5074 kg/ha), crop nitrogen uptake (244 kg/ha) and NUE (82.5%) were under T2 treatment in the second year. Furthermore, T2 had the maximum NO3−-N content in 0–100 cm layer (116 kg/ha), especially 0–40 cm layer, and the lowest NO3−-N content in 100–200 cm (58.8 kg/ha). However, 50% organic manure N in T3 increased apparent nitrogen loss by 39.0% compared to that in T2. Therefore, 30% organic manure N application was more conducive for enhancing wheat yield and NUE and promoting environmental safety after 1-year fertilization time.
Online psychological interventions to reduce symptoms of depression, anxiety, and general distress in those with chronic health conditions: a systematic review and meta-analysis of randomized controlled trials
Authors: White V. , Linardon J. , Stone J. E. , Holmes-Truscott E. , Olive L. , Mikocka-Walus A. , Hendrieckx C. , Evans S. , Speight J. 
Published: July 2020

AbstractBackgroundOver the past 15 years, there has been substantial growth in web-based psychological interventions. We summarize evidence regarding the efficacy of web-based self-directed psychological interventions on depressive, anxiety and distress symptoms in people living with a chronic health condition.MethodWe searched Medline, PsycINFO, CINAHL, EMBASE databases and Cochrane Database from 1990 to 1 May 2019. English language papers of randomized controlled trials (usual care or waitlist control) of web-based psychological interventions with a primary or secondary aim to reduce anxiety, depression or distress in adults with a chronic health condition were eligible. Results were assessed using narrative synthases and random-effects meta-analyses.ResultsIn total 70 eligible studies across 17 health conditions [most commonly: cancer (k= 20), chronic pain (k= 9), arthritis (k= 6) and multiple sclerosis (k= 5), diabetes (k= 4), fibromyalgia (k= 4)] were identified. Interventions were based on CBT principles in 46 (66%) studies and 42 (60%) included a facilitator. When combining all chronic health conditions, web-based interventions were more efficacious than control conditions in reducing symptoms of depressiong= 0.30 (95% CI 0.22–0.39), anxietyg= 0.19 (95% CI 0.12–0.27), and distressg= 0.36 (95% CI 0.23–0.49).ConclusionEvidence regarding effectiveness for specific chronic health conditions was inconsistent. While self-guided online psychological interventions may help to reduce symptoms of anxiety, depression and distress in people with chronic health conditions in general, it is unclear if these interventions are effective for specific health conditions. More high-quality evidence is needed before definite conclusions can be made.
Altered brain structural and functional connectivity in schizotypy
Authors: Wang Yong-ming , Cai Xin-lu , Zhang Rui-ting , Zhang Yi-jing , Zhou Han-yu , Wang Yi , Wang Ya , Huang Jia , Wang Yan-yu , Cheung Eric F. C. , Chan Raymond C. K. 
Published: July 2020

AbstractBackgroundSchizotypy refers to schizophrenia-like traits below the clinical threshold in the general population. The pathological development of schizophrenia has been postulated to evolve from the initial coexistence of ‘brain disconnection’ and ‘brain connectivity compensation’ to ‘brain connectivity decompensation’.MethodsIn this study, we examined the brain connectivity changes associated with schizotypy by combining brain white matter structural connectivity, static and dynamic functional connectivity analysis of diffusion tensor imaging data and resting-state functional magnetic resonance imaging data. A total of 87 participants with a high level of schizotypal traits and 122 control participants completed the experiment. Group differences in whole-brain white matter structural connectivity probability, static mean functional connectivity strength, dynamic functional connectivity variability and stability among 264 brain sub-regions of interests were investigated.ResultsWe found that individuals with high schizotypy exhibited increased structural connectivity probability within the task control network and within the default mode network; increased variability and decreased stability of functional connectivity within the default mode network and between the auditory network and the subcortical network; and decreased static mean functional connectivity strength mainly associated with the sensorimotor network, the default mode network and the task control network.ConclusionsThese findings highlight the specific changes in brain connectivity associated with schizotypy and indicate that both decompensatory and compensatory changes in structural connectivity within the default mode network and the task control network in the context of whole-brain functional disconnection may be an important neurobiological correlate in individuals with high schizotypy.
Qualities of the environment that support a sense of home and belonging in nursing homes for older people
Authors: Johansson Karin , Borell Lena , Rosenberg Lena 
Published: July 2020

AbstractThe aim of this study was to contribute with knowledge about how a sense of home and belonging is enacted and can be supported in everyday life, with a particular focus on the relationships that connect everyday life and the environment in nursing home contexts. The concepts ‘a sense of home’ and ‘belonging’ were chosen with the ambition to grasp values grounded in experiences and everyday practices, with an openness for various aspects that can support an enjoyable life and comfort for nursing home residents. The study focused on communal areas, e.g. dining room, kitchen, corridors and gardens, that serve as arenas where nursing home residents’ everyday lives expand beyond the private room. Ethnographic methods were applied to identify and explore situations where a sense of home and belonging were enacted in nursing homes that had been acknowledged as good examples of nursing home environments. Through the analytic process, four qualities were identified: (a) a cornerstone for stability and everydayness, (b) the beating heart, (c) spatial dynamics, and (d) magnetic places. Following from the chosen methodology, the findings provide a situated understanding of how communal areas in nursing homes can invite a sense of home and belonging for the residents.
Development of a Method for Data Dimensionality Reduction in Loop Closure Detection: An Incremental Approach
Authors: Moreira Leandro A. S. , Justel Claudia M. , de Oliveira Jauvane C. , Rosa Paulo F. F. 
Published: July 2020

SUMMARYThis article proposes a method for incremental data dimensionality reduction in loop closure detection for robotic autonomous navigation. The approach uses dominant eigenvector concept for: (a) spectral description of visual datasets and (b) representation in low dimension. Unlike most other papers on data dimensionality reduction (which is done in batch mode), our method combines a sliding window technique and coordinate transformation to achieve dimensionality reduction in incremental data. Experiments in both simulated and real scenarios were performed and the results are suitable.