bluuebunny/crossref_metadata_2025_split huggingface dataset:
From “God of the World” to “God of the Heavens”: From the Mishneh Torah to The Guide of the Perplexed
Authors: Hadad Eliezer 
Published: February 2022

AbstractMaimonides opened almost all of his books with the verse “in the name of the Lord, the God of the world” (Gen 21:33). This verse describes the nature of Abraham’s calling, which Maimonides interprets, both in the Mishneh Torah and in the Guide of the Perplexed, as an effort to persuade others to abandon their idolatrous perceptions and affirm the uniqueness of God. There is, however, a difference between the way Maimonides describes Abraham and his calling in the Mishneh Torah and their portrayal in the Guide of the Perplexed. In the former, Abraham is presented as a philosopher; in the latter, as a biblical prophet. In the Mishneh Torah, Maimonides’s description of Abraham revolves around a verse that describes the “God of the world”; in the Guide of the Perplexed, Maimonides adds verses in which Abraham mentions “heaven.” In this article, I shall examine these differences and suggest that they represent developments and shifts in Maimonides’s own philosophical position.
A scoping review exploring reablement models of training and client assessment for older people in primary health care
Authors: Bramble Marguerite , Young Sarah , Prior Sarah , Maxwell Hazel , Campbell Steve , Marlow Annette , Doherty Douglass 
Published: February 2022

Abstract

Aim:
The aim of this scoping review is to explore the evidence by which community service providers have integrated reablement models of staff training and client assessment into practice.

Background:
The concept of reablement, which has emerged during the last two decades globally, has recently been defined by health experts from 11 countries through a Delphi study. Reablement is seen as a way to support integrated frameworks that achieve person-centred, long-term care and assistance across community settings. International research indicates there is some evidence of developing models of reablement that include staff training and individual components of client assessment. However, evidence of integrating reablement into interdisciplinary practice continues to be sparse.

Methods:
The review adopted the preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) approach. Inclusion criteria for the review related to community care, primary care, long-term care, and residential care. Populations of interest included service providers, interdisciplinary staff, trainers, and assessors.

Results:
A total of 11 papers were reviewed. The studies varied in their approach to reablement training and client assessment frameworks. Three studies included assessment of staff well-being. All included evidence-based, person-centred components that can be integrated across health care settings. Single disciplinary approaches were used in all studies and some included training evaluation.

Conclusion:
This review has identified that currently reablement models are not yet embedded as frameworks for practice by community service providers in primary health care settings. Different programmes of training and assessment are being designed based on single disciplinary approaches and the context in which they are delivered. Further developmental work is required to integrate the components of discipline-specific training programmes within interdisciplinary frameworks. This will achieve not only an integrated framework for delivery across settings but also further the success of ‘ageing in place’ policy.
Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections
Authors: Villegas-Hernández Luis E. , Dubey Vishesh , Nystad Mona , Tinguely Jean-Claude , Coucheron David A. , Dullo Firehun T. , Priyadarshi Anish , Acuña Sebastian , Ahmad Azeem , Mateos José M. , Barmettler Gery , Ziegler Urs , Birgisdottir Åsa Birna , Hovd Aud-Malin Karlsson , Fenton Kristin Andreassen , Acharya Ganesh , Agarwal Krishna , Ahluwalia Balpreet Singh 
Published: February 2022

AbstractHistology involves the observation of structural features in tissues using a microscope. While diffraction-limited optical microscopes are commonly used in histological investigations, their resolving capabilities are insufficient to visualize details at subcellular level. Although a novel set of super-resolution optical microscopy techniques can fulfill the resolution demands in such cases, the system complexity, high operating cost, lack of multi-modality, and low-throughput imaging of these methods limit their wide adoption for histological analysis. In this study, we introduce the photonic chip as a feasible high-throughput microscopy platform for super-resolution imaging of histological samples. Using cryopreserved ultrathin tissue sections of human placenta, mouse kidney, pig heart, and zebrafish eye retina prepared by the Tokuyasu method, we demonstrate diverse imaging capabilities of the photonic chip including total internal reflection fluorescence microscopy, intensity fluctuation-based optical nanoscopy, single-molecule localization microscopy, and correlative light-electron microscopy. Our results validate the photonic chip as a feasible imaging platform for tissue sections and pave the way for the adoption of super-resolution high-throughput multimodal analysis of cryopreserved tissue samples both in research and clinical settings.
Stathmin 1 is a biomarker for diagnosis of microvascular invasion to predict prognosis of early hepatocellular carcinoma
Authors: Cai Yongchao , Fu Yong , Liu Changcheng , Wang Xicheng , You Pu , Li Xiuhua , Song Yanxiang , Mu Xiaolan , Fang Ting , Yang Yang , Gu Yuying , Zhang Haibin , He Zhiying 
Published: February 2022

AbstractMicrovascular invasion (MVI) is presently evaluated as a high-risk factor to be directly relative to postoperative prognosis of hepatocellular carcinoma (HCC). Up to now, diagnosis of MVI mainly depends on the postoperative pathological analyses with H&E staining assay, based on numbers and distribution characteristics of MVI to classify the risk levels of MVI. However, such pathological analyses lack the specificity to discriminate MVI in HCC specimens, especially in complicated pathological tissues. In addition, the efficiency to precisely define stages of MVI is not satisfied. Thus, any biomarker for both conforming diagnosis of MVI and staging its levels will efficiently and effectively promote the prediction of early postoperative recurrence and metastasis for HCC. Through bioinformatics analysis and clinical sample verification, we discovered that Stathmin 1 (STMN1) gene was significantly up-regulated at the locations of MVI. Combining STMN1 immunostaining with classic H&E staining assays, we established a new protocol for MVI pathological diagnosis. Next, we found that the degrees of MVI risk could be graded according to expression levels of STMN1 for prognosis prediction on recurrence rates and overall survival in early HCC patients. STMN1 affected epithelial-mesenchymal transformation (EMT) of HCC cells by regulating the dynamic balance of microtubules through signaling of “STMN1-Microtubule-EMT” axis. Inhibition of STMN1 expression in HCC cells reduced their lung metastatic ability in recipients of mouse model, suggesting that STMN1 also could be a potential therapeutic target for inhibiting HCC metastasis. Therefore, we conclude that STMN1 has potentials for clinical applications as a biomarker for both pathological diagnosis and prognostic prediction, as well as a therapeutic target for HCC.
A fast Myosin super enhancer dictates muscle fiber phenotype through competitive interactions with Myosin genes
Authors: Dos Santos Matthieu , Backer Stéphanie , Auradé Frédéric , Wong Matthew Man-Kin , Wurmser Maud , Pierre Rémi , Langa Francina , Do Cruzeiro Marcio , Schmitt Alain , Concordet Jean-Paul , Sotiropoulos Athanassia , Jeffrey Dilworth F. , Noordermeer Daan , Relaix Frédéric , Sakakibara Iori , Maire Pascal 
Published: February 2022

AbstractThe contractile properties of adult myofibers are shaped by their Myosin heavy chain isoform content. Here, we identify by snATAC-seq a 42 kb super-enhancer at the locus regrouping the fast Myosin genes. By 4C-seq we show that active fast Myosin promoters interact with this super-enhancer by DNA looping, leading to the activation of a single promoter per nucleus. A rainbow mouse transgenic model of the locus including the super-enhancer recapitulates the endogenous spatio-temporal expression of adult fast Myosin genes. In situ deletion of the super-enhancer by CRISPR/Cas9 editing demonstrates its major role in the control of associated fast Myosin genes, and deletion of two fast Myosin genes at the locus reveals an active competition of the promoters for the shared super-enhancer. Last, by disrupting the organization of fast Myosin, we uncover positional heterogeneity within limb skeletal muscles that may underlie selective muscle susceptibility to damage in certain myopathies.
Circulating microbial content in myeloid malignancy patients is associated with disease subtypes and patient outcomes
Authors: Woerner Jakob , Huang Yidi , Hutter Stephan , Gurnari Carmelo , Sánchez Jesús María Hernández , Wang Janet , Huang Yimin , Schnabel Daniel , Aaby Michael , Xu Wanying , Thorat Vedant , Jiang Dongxu , Jha Babal K. , Koyuturk Mehmet , Maciejewski Jaroslaw P. , Haferlach Torsten , LaFramboise Thomas 
Published: February 2022

AbstractAlthough recent work has described the microbiome in solid tumors, microbial content in hematological malignancies is not well-characterized. Here we analyze existing deep DNA sequence data from the blood and bone marrow of 1870 patients with myeloid malignancies, along with healthy controls, for bacterial, fungal, and viral content. After strict quality filtering, we find evidence for dysbiosis in disease cases, and distinct microbial signatures among disease subtypes. We also find that microbial content is associated with host gene mutations and with myeloblast cell percentages. In patients with low-risk myelodysplastic syndrome, we provide evidence that Epstein-Barr virus status refines risk stratification into more precise categories than the current standard. Motivated by these observations, we construct machine-learning classifiers that can discriminate among disease subtypes based solely on bacterial content. Our study highlights the association between the circulating microbiome and patient outcome, and its relationship with disease subtype.
Ultralarge anti-Stokes lasing through tandem upconversion
Authors: Sun Tianying , Chen Bing , Guo Yang , Zhu Qi , Zhao Jianxiong , Li Yuhua , Chen Xian , Wu Yunkai , Gao Yaobin , Jin Limin , Chu Sai Tak , Wang Feng 
Published: February 2022

AbstractCoherent ultraviolet light is important for applications in environmental and life sciences. However, direct ultraviolet lasing is constrained by the fabrication challenge and operation cost. Herein, we present a strategy for the indirect generation of deep-ultraviolet lasing through a tandem upconversion process. A core–shell–shell nanoparticle is developed to achieve deep-ultraviolet emission at 290 nm by excitation in the telecommunication wavelength range at 1550 nm. The ultralarge anti-Stokes shift of 1260 nm (~3.5 eV) stems from a tandem combination of distinct upconversion processes that are integrated into separate layers of the core–shell–shell structure. By incorporating the core–shell–shell nanoparticles as gain media into a toroid microcavity, single-mode lasing at 289.2 nm is realized by pumping at 1550 nm. As various optical components are readily available in the mature telecommunication industry, our findings provide a viable solution for constructing miniaturized short-wavelength lasers that are suitable for device applications.
Parkinson’s disease severity clustering based on tapping activity on mobile device
Authors: Surangsrirat Decho , Sri-iesaranusorn Panyawut , Chaiyaroj Attawit , Vateekul Peerapon , Bhidayasiri Roongroj 
Published: February 2022

AbstractIn this study, we investigated the relationship between finger tapping tasks on the smartphone and the MDS-UPDRS I–II and PDQ-8 using the mPower dataset. mPower is a mobile application-based study for monitoring key indicators of PD progression and diagnosis. Currently, it is one of the largest, open access, mobile Parkinson’s Disease studies. Data from seven modules with a total of 8,320 participants who provided the data of at least one task were released to the public researcher. The modules comprise demographics, MDS-UPDRS I–II, PDQ-8, memory, tapping, voice, and walking. Finger-tapping is one of the tasks that easy to perform and has been analyzed for the quantitative measurement of PD. Therefore, participants who performed both the tapping activity and MDS-UPDRS I–II rating scale were selected for our analysis. Note that the MDS-UPDRS mPower Survey only contains parts of the original scale and has not been clinimetrically tested for validity and reliability. We obtained a total of 1851 samples that contained the tapping activity and MDS-UPDRS I–II for the analysis. Nine features were selected to represent tapping activity. K-mean was applied as an unsupervised clustering algorithm in our study. For determining the number of clusters, the elbow method, Sihouette score, and Davies–Bouldin index, were employed as supporting evaluation metrics. Based on these metrics and expert opinion, we decide that three clusters were appropriate for our study. The statistical analysis found that the tapping features could separate participants into three severity groups. Each group has different characteristics and could represent different PD severity based on the MDS-UPDRS I–II and PDQ-8 scores. Currently, the severity assessment of a movement disorder is based on clinical observation. Therefore, it is highly dependant on the skills and experiences of the trained movement disorder specialist who performs the procedure. We believe that any additional methods that could potentially assist with quantitative assessment of disease severity, without the need for a clinical visit would be beneficial to both the healthcare professionals and patients.
Orbital controls on eastern African hydroclimate in the Pleistocene
Authors: Lupien Rachel L. , Russell James M. , Pearson Emma J. , Castañeda Isla S. , Asrat Asfawossen , Foerster Verena , Lamb Henry F. , Roberts Helen M. , Schäbitz Frank , Trauth Martin H. , Beck Catherine C. , Feibel Craig S. , Cohen Andrew S. 
Published: February 2022

AbstractUnderstanding eastern African paleoclimate is critical for contextualizing early human evolution, adaptation, and dispersal, yet Pleistocene climate of this region and its governing mechanisms remain poorly understood due to the lack of long, orbitally-resolved, terrestrial paleoclimate records. Here we present leaf wax hydrogen isotope records of rainfall from paleolake sediment cores from key time windows that resolve long-term trends, variations, and high-latitude effects on tropical African precipitation. Eastern African rainfall was dominantly controlled by variations in low-latitude summer insolation during most of the early and middle Pleistocene, with little evidence that glacial–interglacial cycles impacted rainfall until the late Pleistocene. We observe the influence of high-latitude-driven climate processes emerging from the last interglacial (Marine Isotope Stage 5) to the present, an interval when glacial–interglacial cycles were strong and insolation forcing was weak. Our results demonstrate a variable response of eastern African rainfall to low-latitude insolation forcing and high-latitude-driven climate change, likely related to the relative strengths of these forcings through time and a threshold in monsoon sensitivity. We observe little difference in mean rainfall between the early, middle, and late Pleistocene, which suggests that orbitally-driven climate variations likely played a more significant role than gradual change in the relationship between early humans and their environment.
Enhanced firing of locus coeruleus neurons and SK channel dysfunction are conserved in distinct models of prodromal Parkinson’s disease
Authors: Matschke Lina A. , Komadowski Marlene A. , Stöhr Annette , Lee Bolam , Henrich Martin T. , Griesbach Markus , Rinné Susanne , Geibl Fanni F. , Chiu Wei-Hua , Koprich James B. , Brotchie Jonathan M. , Kiper Aytug K. , Dolga Amalia M. , Oertel Wolfgang H. , Decher Niels 
Published: February 2022

AbstractParkinson’s disease (PD) is clinically defined by the presence of the cardinal motor symptoms, which are associated with a loss of dopaminergic nigrostriatal neurons in the substantia nigra pars compacta (SNpc). While SNpc neurons serve as the prototypical cell-type to study cellular vulnerability in PD, there is an unmet need to extent our efforts to other neurons at risk. The noradrenergic locus coeruleus (LC) represents one of the first brain structures affected in Parkinson’s disease (PD) and plays not only a crucial role for the evolving non-motor symptomatology, but it is also believed to contribute to disease progression by efferent noradrenergic deficiency. Therefore, we sought to characterize the electrophysiological properties of LC neurons in two distinct PD models: (1) in an in vivo mouse model of focal α-synuclein overexpression; and (2) in an in vitro rotenone-induced PD model. Despite the fundamental differences of these two PD models, α-synuclein overexpression as well as rotenone exposure led to an accelerated autonomous pacemaker frequency of LC neurons, accompanied by severe alterations of the afterhyperpolarization amplitude. On the mechanistic side, we suggest that Ca2+-activated K+ (SK) channels are mediators of the increased LC neuronal excitability, as pharmacological activation of these channels is sufficient to prevent increased LC pacemaking and subsequent neuronal loss in the LC following in vitro rotenone exposure. These findings suggest a role of SK channels in PD by linking α-synuclein- and rotenone-induced changes in LC firing rate to SK channel dysfunction.
Machine learning detects altered spatial navigation features in outdoor behaviour of Alzheimer’s disease patients
Authors: Ghosh Abhirup , Puthusseryppady Vaisakh , Chan Dennis , Mascolo Cecilia , Hornberger Michael 
Published: February 2022

AbstractImpairment of navigation is one of the earliest symptoms of Alzheimer’s disease (AD), but to date studies have involved proxy tests of navigation rather than studies of real life behaviour. Here we use GPS tracking to measure ecological outdoor behaviour in AD. The aim was to use data-driven machine learning approaches to explore spatial metrics within real life navigational traces that discriminate AD patients from controls. 15 AD patients and 18 controls underwent tracking of their outdoor navigation over two weeks. Three kinds of spatiotemporal features of segments were extracted, characterising the mobility domain (entropy, segment similarity, distance from home), spatial shape (total turning angle, segment complexity), and temporal characteristics (stop duration). Patients significantly differed from controls on entropy (p-value 0.008), segment similarity (p-value $${10}^{-7}$$

10

-
7

), and distance from home (p-value $${10}^{-14}$$

10

-
14

). Graph-based analyses yielded preliminary data indicating that topological features assessing the connectivity of visited locations may also differentiate patients from controls. In conclusion, our results show that specific outdoor navigation features discriminate AD patients from controls, which has significant implication for future AD diagnostics, outcome measures and interventions. Furthermore, this work illustrates how wearables-based sensing of everyday behaviour may be used to deliver ecologically-valid digital biomarkers of AD pathophysiology.
A two-stage approach for the spatio-temporal analysis of high-throughput phenotyping data
Authors: Pérez-Valencia Diana M. , Rodríguez-Álvarez María Xosé , Boer Martin P. , Kronenberg Lukas , Hund Andreas , Cabrera-Bosquet Llorenç , Millet Emilie J. , Eeuwijk Fred A. van 
Published: February 2022

AbstractHigh throughput phenotyping (HTP) platforms and devices are increasingly used for the characterization of growth and developmental processes for large sets of plant genotypes. Such HTP data require challenging statistical analyses in which longitudinal genetic signals need to be estimated against a background of spatio-temporal noise processes. We propose a two-stage approach for the analysis of such longitudinal HTP data. In a first stage, we correct for design features and spatial trends per time point. In a second stage, we focus on the longitudinal modelling of the spatially corrected data, thereby taking advantage of shared longitudinal features between genotypes and plants within genotypes. We propose a flexible hierarchical three-level P-spline growth curve model, with plants/plots nested in genotypes, and genotypes nested in populations. For selection of genotypes in a plant breeding context, we show how to extract new phenotypes, like growth rates, from the estimated genotypic growth curves and their first-order derivatives. We illustrate our approach on HTP data from the PhenoArch greenhouse platform at INRAE Montpellier and the outdoor Field Phenotyping platform at ETH Zürich.
Strength deterioration mechanism of bentonite modified loess after wetting–drying cycles
Authors: Niu Ze-Lin , Xu Jian , Li Yan-Feng , Wang Ze-Feng , Wang Bao 
Published: February 2022

AbstractThe employment of bentonite modified loess (BML) is a common method of constructing the anti-seepage lining of landfills in the loess region of China, and its long-term secure performance is threatened by wetting–drying (W–D) cycles. Taking the remolded loess (RL) and BML with 15% in mass of bentonite as research objects, the W–D cycles test, scanning electron microscope test and direct shear test were carried out to analyze the effects of W–D cycles on the microstructure and shear strength of samples. The regression equations between strength and micro-pore structure parameters were established by the multivariate linear stepwise regression method. The damage mechanism of BML after W–D cycles was studied by establishing damage degree models based on pore area ratio and cohesion. Results indicate that the water absorption and expansion of bentonite effectively block the intergranular pores, resulting in more medium and small pores and more pronounced surface contact of particles. After W–D cycles, the particle arrangement of samples before and after bentonite modification tends to be loose. Both the pore area ratio and fractal dimension increase and tend to stabilize after five cycles. The BML exhibits lower pore area ratio and greater fractal dimension while its cohesion and internal friction angle show more significant decrease after W–D cycles than those of RL. The damage variables based on pore area ratio and cohesion well describe the W–D induced damage of loess before and after modification from macro- and micro-scale perspectives. The damage degree of samples increases with W–D cycles, but the increment decreases.