bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of probiotics on type II diabetes mellitus: a meta-analysis
Authors: Tao Yun-Wen , Gu Ying-Luo , Mao Xin-Qi , Zhang Lei , Pei Yu-Fang 
Published: January 2020

AbstractObjectiveThe purpose of the present study was to evaluate the effectiveness of probiotics on type II diabetes mellitus (T2DM).MethodsWe performed a comprehensive search on PubMed, Web of Science, China National Knowledge Infrastructure, Chinese Scientific Journal Databases, Wan Fang database and China biology medicine disc for relevant studies published before June 2019. Glycated hemoglobin A1c (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR) and fasting blood glucose (FBG) were used as indicators for T2DM. Inverse-variance weighted mean difference (WMD) with 95% confidence interval (CI) was calculated for the mean HbA1c, FBG and HOMA-IR changes from baseline.Results15 randomized controlled trials (RCT) with a total of 902 participants were included into the meta-analysis. Considering the clinical heterogeneity caused by variation of dosage and duration of probiotic treatment, random-effects model was used to estimate the pooled WMD. Significantly greater reduction in HbA1c% (WMD = − 0.24, 95% CI [− 0.44, − 0.04],p = 0.02), FBG (WMD = − 0.44 mmol/L, 95% CI [− 0.74, − 0.15],p = 0.003) and HOMA-IR (WMD = − 1.07, 95% CI [− 1.58, − 0.56],p < 0.00001) were observed in probiotics treated group. Further sensitivity analysis verified the reliability and stability of our results.ConclusionThe results of our meta-analysis indicated that probiotics treatment may reduce HbA1c, FBG and insulin resistance level in T2DM patients. More clinical data and research into the mechanism of probiotics are needed to clarify the role of probiotics in T2DM.
Contributions of Age-Related Thymic Involution to Immunosenescence and Inflammaging
Authors: Thomas Rachel , Wang Weikan , Su Dong-Ming 
Published: January 2020

AbstractImmune system aging is characterized by the paradox of immunosenescence (insufficiency) and inflammaging (over-reaction), which incorporate two sides of the same coin, resulting in immune disorder. Immunosenescence refers to disruption in the structural architecture of immune organs and dysfunction in immune responses, resulting from both aged innate and adaptive immunity. Inflammaging, described as a chronic, sterile, systemic inflammatory condition associated with advanced age, is mainly attributed to somatic cellular senescence-associated secretory phenotype (SASP) and age-related autoimmune predisposition. However, the inability to reduce senescent somatic cells (SSCs), because of immunosenescence, exacerbates inflammaging. Age-related adaptive immune system deviations, particularly altered T cell function, are derived from age-related thymic atrophy or involution, a hallmark of thymic aging. Recently, there have been major developments in understanding how age-related thymic involution contributes to inflammaging and immunosenescence at the cellular and molecular levels, including genetic and epigenetic regulation, as well as developments of many potential rejuvenation strategies. Herein, we discuss the research progress uncovering how age-related thymic involution contributes to immunosenescence and inflammaging, as well as their intersection. We also describe how T cell adaptive immunity mediates inflammaging and plays a crucial role in the progression of age-related neurological and cardiovascular diseases, as well as cancer. We then briefly outline the underlying cellular and molecular mechanisms of age-related thymic involution, and finally summarize potential rejuvenation strategies to restore aged thymic function.
A study of voice and non-voice processing in Prader-Willi syndrome
Authors: Strenilkov Kuzma , Debladis Jimmy , Salles Juliette , Valette Marion , Mantoulan Carine , Thuilleaux Denise , Laurier Virginie , Molinas Catherine , Barone Pascal , Tauber Maïthé 
Published: January 2020

Abstract
Background
Prader-Willi syndrome (PWS) is a rare and complex neurodevelopmental disorder of genetic origin. It manifests itself in endocrine and cognitive problems, including highly pronounced hyperphagia and severe obesity. In many cases, impaired acquisition of social and communication skills leads to autism spectrum features, and individuals with this syndrome are occasionally diagnosed with autism spectrum disorder (ASD) using specific scales. Given that communicational skills are largely based on vocal communication, it is important to study human voice processing in PWS.
We were able to examine a large number of participants with PWS (N = 61) recruited from France’s national reference center for PWS and other hospitals. We tested their voice and nonvoice recognition abilities, as well as their ability to distinguish between voices and nonvoices in a free choice task. We applied the hierarchical drift diffusion model (HDDM) with Bayesian estimation to compare decision-making in participants with PWS and controls.

Results
We found that PWS participants were impaired on both voice and nonvoice processing, but displayed a compensatory ability to perceive voices. Participants with uniparental disomy had poorer voice and nonvoice perception than participants with a deletion on chromosome 15. The HDDM allowed us to demonstrate that participants with PWS need to accumulate more information in order to make a decision, are slower at decision-making, and are predisposed to voice perception, albeit to a lesser extent than controls.

Conclusions
The categorization of voices and nonvoices is generally preserved in participants with PWS, though this may not be the case for the lowest IQ.
Correction to: IL-33 facilitates proliferation of colorectal cancer dependent on COX2/PGE2
Authors: Li Yongkui , Shi Jie , Qi Shanshan , Zhang Jian , Peng Dong , Chen Zhenzhen , Wang Guobin , Wang Zheng , Wang Lin 
Published: January 2020

In the original publication of this manuscript [1], there are three errors in Fig. 1. The identified errors do not affect the conclusions of the work.
Benchmarking principal component analysis for large-scale single-cell RNA-sequencing
Authors: Tsuyuzaki Koki , Sato Hiroyuki , Sato Kenta , Nikaido Itoshi 
Published: January 2020

AbstractBackgroundPrincipal component analysis (PCA) is an essential method for analyzing single-cell RNA-seq (scRNA-seq) datasets, but for large-scale scRNA-seq datasets, computation time is long and consumes large amounts of memory.ResultsIn this work, we review the existing fast and memory-efficient PCA algorithms and implementations and evaluate their practical application to large-scale scRNA-seq datasets. Our benchmark shows that some PCA algorithms based on Krylov subspace and randomized singular value decomposition are fast, memory-efficient, and more accurate than the other algorithms.ConclusionWe develop a guideline to select an appropriate PCA implementation based on the differences in the computational environment of users and developers.
Comparison of the effectiveness of a tailored cognitive behavioural therapy with a supportive listening intervention for depression in those newly diagnosed with multiple sclerosis (the ACTION-MS trial): protocol of an assessor-blinded, active comparator, randomised controlled trial
Authors: Kiropoulos Litza , Kilpatrick Trevor , Kalincek Tomas , Cherulov Leonid , McDonald Elizabeth , Wijeratne Tissa , Threader Jennifer , Rozenblat Vanja , Simpson-O’Brien Neil , Van Der Walt Anneke , Taylor Lisa 
Published: January 2020

Abstract
Background
Multiple sclerosis (MS) is an unpredictable, chronic neurological disease accompanied with high rates of depression and anxiety, particularly in the early stages of diagnosis. There is evidence to suggest that cognitive behavioural therapy (CBT) is effective for the treatment of depression amongst individuals with MS; however, there is a paucity of tailored CBT interventions designed to be offered in the newly diagnosed period. This trial is the first to assess the effectiveness and cost-effectiveness of a tailored CBT intervention compared to a supportive listening (SL) intervention amongst individuals with MS who are depressed.

Methods
ACTION-MS is a two-arm parallel group, assessor-blinded, active comparator, randomised controlled trial which will test whether a tailored CBT-based intervention compared to an SL intervention can reduce depression and related factors such as anxiety, fatigue, pain and sleep problems in those newly diagnosed with MS. Sixty participants who are within 5 years of having received a diagnosis of MS and scored within the mild to moderate range of depression on the Beck Depression Inventory (BDI-II) will be recruited from MS clinics located across three hospital sites in Melbourne, Australia. The primary outcome is depression severity using the BDI-II at post-assessment. Intervention satisfaction and acceptability will be assessed. A cost-effectiveness analysis will also be conducted. Data will be analysed on an intention-to-treat basis.

Discussion
There is a scarcity of psychological interventions for depression targeting the newly diagnosed period. However, interventions during this time point have the potential to have a major impact on the mental and physical wellbeing of those newly diagnosed with MS. The current trial will provide data on the effectiveness of a tailored CBT intervention for the treatment of depression in those newly diagnosed with MS. Findings will also provide effect size estimates that can be used to power a later-stage multi-centre trial of treatment efficacy, and will provide information on the mechanisms underlying any treatment effects and cost-effectiveness data for delivering this intervention in outpatient MS clinics.

Trial registration
ISRCTN trials registry, ISRCTN63987586. Current controlled trials. Retrospectively registered on 20 October 2017.
Stepwise evolution and convergent recombination underlie the global dissemination of carbapenemase-producing Escherichia coli
Authors: Patiño-Navarrete Rafael , Rosinski-Chupin Isabelle , Cabanel Nicolas , Gauthier Lauraine , Takissian Julie , Madec Jean-Yves , Hamze Monzer , Bonnin Remy A. , Naas Thierry , Glaser Philippe 
Published: January 2020

Abstract
Background
Carbapenem-resistant Enterobacteriaceae are considered by WHO as “critical” priority pathogens for which novel antibiotics are urgently needed. The dissemination of carbapenemase-producing Escherichia coli (CP-Ec) in the community is a major public health concern. However, the global molecular epidemiology of CP-Ec isolates remains largely unknown as well as factors contributing to the acquisition of carbapenemase genes.

Methods
We first analyzed the whole-genome sequence and the evolution of the E. coli sequence type (ST) 410 and its disseminated clade expressing the carbapenemase OXA-181. We reconstructed the phylogeny of 19 E. coli ST enriched in CP-Ec and corresponding to a total of 2026 non-redundant isolates. Using the EpiCs software, we determined the significance of the association between specific mutations and the acquisition of a carbapenemase gene and the most probable order of events. The impact of the identified mutations was assessed experimentally by genetic manipulations and phenotypic testing.

Results
In 13 of the studied STs, acquisition of carbapenemase genes occurred in multidrug-resistant lineages characterized by a combination of mutations in ftsI encoding the penicillin-binding protein 3 and in the porin genes ompC and ompF. Mutated ftsI genes and a specific ompC allele related to that from ST38 inducing reduced susceptibility to diverse β-lactams spread across the species by recombination. We showed that these mutations precede in most cases the acquisition of a carbapenemase gene. The ompC allele from ST38 might have contributed to the selection of CP-Ec disseminated lineages within this ST. On the other hand, in the pandemic ST131 lineage, CP-Ec were not associated with mutations in ompC or ftsI and show no signs of dissemination.

Conclusions
Lineages of CP-Ec have started to disseminate globally. However, their selection is a multistep process involving mutations, recombination, acquisition of antibiotic resistance genes, and selection by β-lactams from diverse families. This process did not yet occur in the high-risk lineage ST131.
Perceived work-related stress and its associated factors among public secondary school teachers in Gondar city: a cross-sectional study from Ethiopia
Authors: Kabito Gebisa Guyasa , Wami Sintayehu Daba 
Published: January 2020

Abstract
Objective
We conducted a cross-sectional study to assess perceived work-related stress and associated factors among public secondary school teachers in Gondar city, northwest Ethiopia. A self-completed questionnaire was used for data collection. Data was entered into Epi-info version 7.1 and analyzed by SPSS version 20 software. The associations between dependent and independent variables were assessed using a multivariate binary logistic regression analysis based on the adjusted odds ratio (AOR) with 95% confidence intervals (CI) and p values < 0.05.

Results
The response rate was 96.4%. The overall prevalence of perceived work-related stress was 58.2%. Teaching experience < 5 years (AOR 2.03, 95% CI (1.10, 3.73), education level BSC/BED (AOR 1.66, 95% CI (1.07, 3.17), high job demand (AOR 1.61, 95% CI (1.29, 3.74), and poor relationships (AOR 1.88, 95% CI (1.07, 3.31) were significantly associated with work-related stress. In conclusion, the findings showed a high proportion of stress among participants. Therefore, we suggested a need to take action to balance job demand and teaching experience, offering the opportunity to upgrade their educational level and establish good relationships to ease the burden of stress factors related to work.
Abnormal cerebellar volume in somatic vs. non-somatic delusional disorders
Authors: Krämer Joshua , Huber Markus , Mundinger Christina , Schmitgen Mike M. , Pycha Roger , Kirchler Erwin , Macina Christian , Karner Martin , Hirjak Dusan , Kubera Katharina M. , Depping Malte S. , Romanov Dmitry , Freudenmann Roland W. , Wolf Robert Christian 
Published: January 2020

Abstract
Background
There is abundant evidence for cerebellar involvement in schizophrenia, where the cerebellum has been suggested to contribute to cognitive, affective and motor dysfunction. More recently, specific cerebellar regions have also been associated with psychotic symptoms, particularly with auditory verbal hallucinations. In contrast, little is known about cerebellar contributions to delusions, and even less is known about whether cerebellar involvement differs by delusional content.

Methods
Using structural magnetic resonance imaging at 1.0 T together with cerebellum-optimized segmentation techniques, we investigated gray matter volume (GMV) in 14 patients with somatic-type delusional disorder (S-DD), 18 patients with non-somatic delusional disorder (NS-DD) and 18 patients with schizophrenia (SZ) with persistent non-somatic delusions. A total of 32 healthy controls (HC) were included. Between-group comparisons were adjusted for age, gender, chlorpromazine equivalents and illness duration.

Results
Compared to HC, S-DD patients showed decreased GMV in left lobule VIIIa. In addition, S-DD patients showed decreased GMV in lobule V and increased GMV in bilateral lobule VIIa/crus II compared to NS-DD. Patients with SZ showed increased GMV in right lobule VI and VIIa/crus I compared to HC. Significant differences between HC and NS-DD were not found.

Conclusions
The data support the notion of cerebellar dysfunction in psychotic disorders. Distinct cerebellar deficits, predominantly linked to sensorimotor processing, may be detected in delusional disorders presenting with predominantly somatic content.
Response and productivity of Garlic (Allium Sativum L.) by different levels of potassium fertilizer in farm soils
Authors: Jiku Md. Abu Sayem , Alimuzzaman Md. , Singha Ashutus , Rahaman Md. Arifur , Ganapati Ratan Kumar , Alam Md. Ashraful , Sinha Shata Rupa 
Published: January 2020

Abstract
Background
Garlic (Allium sativum L.) has been used as a medicine throughout ancient and modern history; it has been taken to prevent and treat a wide range of conditions and diseases. In Bangladesh, the demand for garlic increases day by day, but on the other hand, due to a shortage of land, production of garlic is not up to the mark. However, to solve the problem, a pot culture experiment was conducted at the net house of the Department of Agricultural Chemistry, Bangladesh Agricultural University, Mymensingh during the period of November 2007 to March 2008 to examine the effect of potassium (K) on the growth, yield, nutrient content, and its uptake by garlic.

Results
In this study, six levels of K viz. 0, 100, 125, 150, 175, 200, 250 kg ha−1 were used as treatments. All the parameters, i.e., plant height, number of leaves plant−1, fresh and dry weights of leaves (g plant−1), fresh and dry weights of bulb (g plant−1), bulb diameter, and number of cloves bulb−1 significantly varied due to different doses of K application. The maximum total yield and size of garlic bulb were obtained with potassium application at 200 kg ha−1. Potassium at 200 kg ha−1 produced the highest fresh and dry weights of bulbs and leaves, diameter, moisture content, number of cloves, and yield as compared to the other treatments. The uptake of nutrients like N, P, K, S, Ca, Mg, B, and Na significantly varied due to the application of different doses of K. The highest contents and nutrient uptake of N, P, K, S, Ca, Mg, B, and Na were found with potassium application at 200 kg ha−1.

Conclusions
The overall results suggested that the yield of garlic increased with increasing potassium fertilizer, where K application at 200 kg ha−1 is suitable for obtaining maximum yield.
Bio-treatment of maize processing wastewater using indigenous microorganisms
Authors: Ewida Ayman Y. I. 
Published: January 2020

AbstractWastewater arising from maize processing industry is rich in proteins, amino acids, carbohydrates and nitrogenous compounds. Discharging of such wastewaters to the main water bodies without proper treatment creates environmental risks. The present research aimed to reduce maize processing wastewater contaminants by indigenous microorganisms. Industrial wastewater samples of maize processing factory at 10th of Ramadan city, Egypt were collected. The chemical and microbiological characteristics of samples were evaluated. An in vitro batch experiment was conducted in triplicates using 5 L Erlenmeyer flasks enriched with 2 L of the maize processing wastewater and incubated under shaking ambient conditions at 120 rpm for 30 d. Another 2 L Erlenmeyer flask was enriched with 2 L of the wastewater sample, and incubated under static ambient conditions, used as control. The biodegradation of nitrogenous and organic compounds was followed up by measuring Total Kjeldahl Nitrogen (TKN), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Dissolved Oxygen (DO) and pH. The biomass growth rate was monitored by counting the viable bacterial cells (TBC) and fungal cells. The concentration of TKN, BOD and COD was reduced from 2330, 9000 and 12,000 mg L− 1 to 420, 220 and 430 mg L− 1, respectively. DO concentrations were ranged between 6 to 12 mg L− 1 and the pH value was elevated from 6.9 to 9.3. TBC was elevated from 2 × 106 to 4 × 1010 CFU mL− 1, while the yeast count was reduced from 12 × 106 to 2.2 ×  104 CFU mL− 1. Microbial identification by Analytical Profile Index (API) profiling kits indicated that Saccharomyces cerevisiae, Bacillus subtilis, Bacillus amyloliquefaciens, and Bacillus licheniformis are the strains involved in bio-treatment.
Inertial sensors technologies for navigation applications: state of the art and future trends
Authors: El-Sheimy Naser , Youssef Ahmed 
Published: January 2020

AbstractInertial navigation represents a unique method of navigation, in which there is no dependency on external sources of information. As opposed to other position fixing navigation techniques, inertial navigation performs the navigation in a relative sense with respect to the initial navigation state of the moving platform. Hence, inertial navigation systems are not prone to jamming, or spoofing. Inertial navigation systems have developed vastly, from their occurrence in the 1940s up to date. The accuracy of the inertial sensors has improved over time, making inertial sensors sufficient in terms of size, weight, cost, and accuracy for navigation and guidance applications. Within the past few years, inertial sensors have developed from being purely mechanical into incorporating various technologies and taking advantage of numerous physical phenomena, from which the dynamic forces exerted on a moving body could be computed accurately. Besides, the evolution of inertial navigation scheme involved the evolution from stable-platform inertial navigation system, which were mechanically complicated, to computationally demanding strap-down inertial navigation systems. Optical sensory technologies have provided highly accurate inertial sensors, at smaller sizes. Besides, the vibratory inertial navigation technologies enabled the production of Micro-electro-machined inertial sensors that are extremely low-cost, and offer extremely low size, weight and power consumption, making them suitable for a wide range of day-to-day navigation applications. Recently, advanced inertial sensor technologies have been introduced to the industry such as nuclear magnetic resonance technology, cold-atom technology, and the re-introduction of fluid-based inertial sensors. On another note, inertial sensor errors constitute a huge research aspect in which it is intended for inertial sensors to reach level in which they could operate for substantially long operation times in the absence of updates from aiding sensors, which would be a huge leap. Inertial sensors error modeling techniques have been developing rapidly trying to ensure higher levels of navigation accuracy using lower-cost inertial sensors. In this review, the inertial sensor technologies are covered extensively, along the future trends in the inertial sensors’ technologies. Besides, this review covers a brief overview on the inertial error modeling techniques used to enhance the performance of low-cost sensors.
Initial analysis for characterizing and mitigating the pseudorange biases of BeiDou navigation satellite system
Authors: He Chengyan , Lu Xiaochun , Guo Ji , Su Chengeng , Wang Wei , Wang Meng 
Published: January 2020

AbstractPseudorange bias has become a practical obstacle in the field of high-precision global navigation satellite system (GNSS) applications, which greatly restricts the further development of high-precision applications. Unfortunately, no studies have been conducted on the pseudorange biases of the BeiDou navigation satellite system (BDS). To mitigate the effects of pseudorange biases on the BDS performance to the greatest extent possible, the origin of such BDS pseudorange biases are first thoroughly illustrated, based upon which the dependency of the biases on the receiver configurations are studied in detail. Owing to the limitations regarding the parameter re-settings for hardware receivers, software receiver technology was used to achieve the ergodicity of the receiver parameters, such as the correlator spacing and front-end bandwidth, using high-fidelity signal observations collected by a 40-m-high gain dish antenna at Haoping Observatory. Based on this, the pseudorange biases of the BDS B1I and B3I signals and their dependency on different correlator spacings and front-end bandwidths were adequately provided. Finally, herein, the suggested settings of the correlator spacing and front-end bandwidth for BDS receivers are in detail proposed for the first time. As a result, the pseudorange biases of the BDS signals will be less than 20 cm, reaching even under 10 cm, under this condition. This study will provide special attention to GNSS pseudorange biases, and will significantly promote a clear definition of the appropriate receiver parameter settings in the interface control documents of BDS and other individual satellite systems.