bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tcf7l2 transcription factor is required for the maintenance, but not the initial specification, of the neurotransmitter identity in the caudal thalamus
Authors: Tran Hong‐Nhung , Park Wonbae , Seong Sojeong , Jeong Ji‐eun , Nguyen Quy‐Hoai , Yoon Jaeseung , Baek Kwanghee , Jeong Yongsu 
Published: December 2019

AbstractBackgroundDysfunction of GABAergic and glutamatergic neurons in the brain, which establish inhibitory and excitatory networks, respectively, may cause diverse neurological disorders. The mechanism underlying the determination of GABAergic vs. glutamatergic neurotransmitter phenotype in the caudal diencephalon remains largely unknown.ResultsIn this study, we investigated the consequence of Tcf7l2 (transcription factor 7‐like 2) ablation on the neurotransmitter identity of GABAergic and glutamatergic neurons in the caudal diencephalon. We identified positive and negative activity in the control of glutamatergic and GABAergic neuronal gene expression by Tcf7l2. Loss of Tcf7l2 did not alter the initial acquisition of the neurotransmitter identity in thalamic neurons. However, glutamatergic thalamic neurons failed to maintain their excitatory neurotransmitter phenotype in the absence of Tcf7l2. Moreover, a subset of Tcf7l2‐deficient thalamic neurons underwent a glutamatergic to GABAergic neurotransmitter identity switch. Our data indicate that Tcf7l2 may promote glutamatergic neuronal differentiation and repress GABAergic neurotransmitter identity in the caudal thalamus.ConclusionsThis study provides evidence for a novel and crucial role of Tcf7l2 in the molecular mechanism by which the neurotransmitter identity of glutamatergic thalamic neurons is established. Our findings exemplify a clear case of neurotransmitter identity regulation that is partitioned into initiation and maintenance phases.
Generation of a hypoxia‐sensing mouse model
Authors: Lin Qun , Huang Yan , Giordano Frank J. , Yun Zhong 
Published: December 2019

SummaryOxygen (O2) homeostasis is essential to the metazoan life. O2‐sensing or hypoxia‐regulated molecular pathways are intimately involved in a wide range of critical cellular functions and cell survival from embryogenesis to adulthood. In this report, we have designed an innovative hypoxia sensor (O2CreER) based on the O2‐dependent degradation domain of the hypoxia‐inducible factor‐1α and Cre recombinase. We have further generated a hypoxia‐sensing mouse model, R26‐O2CreER, by targeted insertion of the O2CreER‐coding cassette in the ROSA26 locus. Using the ROSAmTmG mouse strain as a reporter, we have found that this novel hypoxia‐sensing mouse model can specifically identify hypoxic cells under the pathological condition of hind‐limb ischemia in adult mice. This model can also label embryonic cells including vibrissal follicle cells in E13.5–E15.5 embryos. This novel mouse model offers a valuable genetic tool for the study of hypoxia and O2 sensing in mammalian systems under both physiological and pathological conditions.
Integrated assessment of the spatial distribution and structural dynamics of deep benthic marine communities
Authors: Jansen Jan , Dunstan Piers K. , Hill Nicole A. , Koubbi Philippe , Melbourne‐Thomas Jessica , Causse Romain , Johnson Craig R. 
Published: December 2019

AbstractCharacterizing the spatial distribution and variation of species communities and validating these characteristics with data from the field are key elements for an ecosystem‐based approach to management. However, models of species distributions that yield community structure are usually not linked to models of community dynamics, constraining understanding and management of the ecosystem, particularly in data‐poor regions. Here we use a qualitative network model to predict changes in Antarctic benthic community structure between major marine habitats characterized largely by seafloor depth and slope, and use multivariate mixture models of species distributions to validate the community dynamics. We then assess how future increases in primary production associated with anticipated loss of sea‐ice may affect the ecosystem. Our study shows how both spatial and structural features of ecosystems in data‐poor regions can be analyzed and possible futures assessed, with direct relevance for ecosystem‐based management.
Species‐level image classification with convolutional neural network enables insect identification from habitus images
Authors: Hansen Oskar L. P. , Svenning Jens‐Christian , Olsen Kent , Dupont Steen , Garner Beulah H. , Iosifidis Alexandros , Price Benjamin W. , Høye Toke T. 
Published: December 2019

AbstractChanges in insect biomass, abundance, and diversity are challenging to track at sufficient spatial, temporal, and taxonomic resolution. Camera traps can capture habitus images of ground‐dwelling insects. However, currently sampling involves manually detecting and identifying specimens. Here, we test whether a convolutional neural network (CNN) can classify habitus images of ground beetles to species level, and estimate how correct classification relates to body size, number of species inside genera, and species identity.We created an image database of 65,841 museum specimens comprising 361 carabid beetle species from the British Isles and fine‐tuned the parameters of a pretrained CNN from a training dataset. By summing up class confidence values within genus, tribe, and subfamily and setting a confidence threshold, we trade‐off between classification accuracy, precision, and recall and taxonomic resolution.The CNN classified 51.9% of 19,164 test images correctly to species level and 74.9% to genus level. Average classification recall on species level was 50.7%. Applying a threshold of 0.5 increased the average classification recall to 74.6% at the expense of taxonomic resolution. Higher top value from the output layer and larger sized species were more often classified correctly, as were images of species in genera with few species.Fine‐tuning enabled us to classify images with a high mean recall for the whole test dataset to species or higher taxonomic levels, however, with high variability. This indicates that some species are more difficult to identify because of properties such as their body size or the number of related species.Together, species‐level image classification of arthropods from museum collections and ecological monitoring can substantially increase the amount of occurrence data that can feasibly be collected. These tools thus provide new opportunities in understanding and predicting ecological responses to environmental change.
Scientist’s guide to developing explanatory statistical models using causal analysis principles
Authors: Grace James B. , Irvine Kathryn M. 
Published: December 2019

AbstractRecent discussions of model selection and multimodel inference highlight a general challenge for researchers: how to convey the explanatory content of a hypothesized model or set of competing models clearly. The advice from statisticians for scientists employing multimodel inference is to develop a well‐thought‐out set of candidate models for comparison, though precise instructions for how to do that are typically not given. A coherent body of knowledge, which falls under the general term causal analysis, now exists for examining the explanatory scientific content of candidate models. Much of the literature on causal analysis has been recently developed, and we suspect may not be familiar to many ecologists. This body of knowledge comprises a set of graphical tools and axiomatic principles to support scientists in their endeavors to create “well‐formed hypotheses,” as statisticians are asking them to do. Causal analysis is complementary to methods such as structural equation modeling, which provides the means for evaluation of proposed hypotheses against data. In this paper, we summarize and illustrate a set of principles that can guide scientists in their quest to develop explanatory hypotheses for evaluation. The principles presented in this paper have the capacity to close the communication gap between statisticians, who urge scientists to develop well‐thought‐out coherent models, and scientists, who would like some practical advice for exactly how to do that.
Soil nitrogen cycling is determined by the competition between mycorrhiza and ammonia‐oxidizing prokaryotes
Authors: Tatsumi Chikae , Taniguchi Takeshi , Du Sheng , Yamanaka Norikazu , Tateno Ryunosuke 
Published: December 2019

AbstractMycorrhizal fungi have considerable effects on soil carbon (C) storage, as they control the decomposition of soil organic matter (SOM), by modifying the amount of soil nitrogen (N) available for free‐living microbes. Through their access to organic N, ectomycorrhizal (ECM) fungi compete with free‐living soil microbes; this competition is thought to slow down SOM decomposition. However, arbuscular mycorrhizal (AM) fungi cannot decompose SOM, and therefore must wait for N to first be processed by free‐living microbes. It is unclear what form of N the ECM fungi and free‐living microbes compete for, or which microbial groups compete for N with ECM fungi. To investigate this, we focused on the N transformation steps (i.e., the degradation of high‐molecular‐weight organic matter, mineralization, and nitrification) and the microbes driving each step. Simple comparisons between AM forests and ECM forests are not sufficient to assert that mycorrhizal types would determine the N transformation steps in soil, because soil physiochemistry, which strongly affects N transformation steps, differs between the forests. We used an aridity gradient with large differences in soil moisture, pH, and SOM quantity and quality, to distinguish the mycorrhizal and physicochemical effects on N transformation. Soil samples (0–10 cm depth) were collected from AM‐symbiotic black locust forests under three aridity levels, and from ECM‐symbiotic oak forests under two aridity levels. Soil physicochemical properties, extractable N dynamics and abundance, composition, and function of soil microbial communities were measured. In ECM forests, the ammonia‐oxidizing prokaryotic abundance was low, whereas that of ECM fungi was high, resulting in lower nitrate N content than in AM forests. Since ECM forests did not have lower saprotrophic fungal abundance and prokaryotic decompositional activity than the AM forests, the hypothesis that ECM fungi could reduce SOM decay and ammonification by free‐living microbes, might not hold in ECM forests. However, the limitation of ECM fungi on nitrate N production would result in a feedback that will accelerate plant dependence on these fungi, thereby raising soil C storage through an increase in the ECM biomass and plant C investment in soils.
Dynamic characteristics of a solar‐aided coal‐fired power generation system under direct normal irradiance (DNI) feedforward control
Authors: Pang Liping , Lv Peixin , Duan Liqiang , Yang Yongping 
Published: December 2019

AbstractA solar‐aided coal‐fired power generation (SAPG) system is a new type of power generation system in the field of solar thermal power generation. However, the instability of solar radiation will cause fluctuations in steam temperature, which is unfavorable for the operation of boilers and steam turbines. Based on a 600 MW subcritical coal‐fired power generation unit, TRNSYS software is applied to establish a transient simulation model of SAPG in this paper. A dynamic feedforward control system for steam temperature is set up. Some essential parameters, such as the fuel consumption rate, solar‐heated steam extraction rate, water spraying flow rate, and flue gas damper opening, are under the control of direct normal irradiance (DNI). Then, the dynamic characteristics of SAPG are analyzed using typical weather data. The simulation results show that under the fuel‐saving mode, when solar irradiation changes, the SAPG system achieves a coal reduction of 4.9% by using the steam temperature control system with DNI feedforward control, and the main steam temperature fluctuation is less than 5°C with the reheat steam temperature reduced within a reasonable range. The power generation fluctuation is less than 10 MW, and the solar‐to‐electricity efficiency reaches 22.5%. Some parameters on both the flue gas side and the water/steam side in the utility boiler are simulated to demonstrate the effectiveness of DNI control.
Trombe walls with phase change materials: A review
Authors: Omara Adil A. M. , Abuelnuor Abuelnuor A. A. 
Published: December 2019

AbstractSolar energy utilization for covering the heating loads of buildings is an innovative and clean way to reduce electricity consumption. A Trombe wall is a classical passive solar heating system used in buildings. Increasing the weights and volumes of Trombe walls can increase their heat storage capacities. However, this process increases a building's dead load, which is considered a problem by structural engineers. Among the alternatives for solving this problem is to use phase change materials (PCMs) for higher heat storage. This work presents a comprehensive review on the different advantages of integrating PCMs with Trombe walls. The article shows that the satisfactory heat storage capacity of PCMs can improve indoor air thermal circulation and decrease indoor air temperature fluctuations. In addition, the effectiveness of PCMs in providing protection from overheating, and improving the efficiency of the energy management process and energy saving of Trombe walls is demonstrated.
Corporate foresight as a microfoundation of dynamic capabilities
Authors: Schwarz Jan Oliver , Rohrbeck René , Wach Bernhard 
Published: December 2019

AbstractThe dynamic capabilities perspective is aimed at explaining how firms achieve and sustain competitive advantages, especially in environments that become volatile, uncertain, complex, and ambiguous (VUCA). In this paper, we combine factors that explain dynamic capabilities on the firm level with factors of dynamic managerial capabilities on the individual level. In addition to the dynamic capabilities theory, we draw on corporate foresight (CF) literature to test the impact of CF training. We find that both the organizational‐level practices and the individual‐level training of leaders are positively associated with firm‐level outcomes. We further observe that this relationship is mediated by dynamic managerial capabilities (i.e., the ability of leaders to challenge current business models, make decisions under uncertainty, and reconfigure organizational resources). Our findings emphasize the importance of training leaders and building organizational CF practices to build the dynamic capabilities needed in VUCA environments.
Gpr126/Adgrg6 contributes to the terminal Schwann cell response at the neuromuscular junction following peripheral nerve injury
Authors: Jablonka‐Shariff Albina , Lu Chuieng‐Yi , Campbell Katherine , Monk Kelly R. , Snyder‐Warwick Alison K. 
Published: December 2019

ABSTRACTGpr126/Adgrg6 is an adhesion G protein‐coupled receptor essential for Schwann cell (SC) myelination with important contributions to repair after nerve crush injury. Despite critical functions in myelinating SCs, the role of Gpr126 within nonmyelinating terminal Schwann cells (tSCs) at the neuromuscular junction (NMJ), is not known. tSCs have important functions in synaptic maintenance and reinnervation, and after injury tSCs extend cytoplasmic processes to guide regenerating axons to the denervated NMJ. In this study, we show that Gpr126 is expressed in tSCs, and that absence of Gpr126 in SCs (SC‐specific Gpr126 knockout, cGpr126) results in a NMJ maintenance defect in the hindlimbs of aged mice, but not in young adult mice. After nerve transection and repair, cGpr126 mice display delayed NMJ reinnervation, altered tSC morphology with decreased S100β expression, and reduced tSC cytoplasmic process extensions. The immune response promoting reinnervation at the NMJ following nerve injury is also altered with decreased macrophage infiltration, Tnfα, and anomalous cytokine expression compared to NMJs of control mice. In addition, Vegfa expression is decreased in muscle, suggesting that cGpr126 non‐cell autonomously modulates angiogenesis after nerve injury. In sum, cGpr126 mice demonstrated delayed NMJ reinnervation and decreased muscle mass following nerve transection and repair compared to control littermates. The integral function of Gpr126 in tSCs at the NMJ provides the framework for new therapeutic targets for neuromuscular disease.
A computational model of systems memory consolidation and reconsolidation
Authors: Helfer Peter , Shultz Thomas R. 
Published: December 2019

AbstractIn the mammalian brain, newly acquired memories depend on the hippocampus (HPC) for maintenance and recall, but over time, the neocortex takes over these functions, rendering memories HPC‐independent. The process responsible for this transformation is calledsystems memory consolidation. Reactivation of a well‐consolidated memory can trigger a temporary return to a HPC‐dependent state, a phenomenon known assystems memory reconsolidation. The neural mechanisms underlying systems memory consolidation and reconsolidation are not well understood. Here, we propose a neural model based on well‐documented mechanisms of synaptic plasticity and stability and describe a computational implementation that demonstrates the model's ability to account for a range of findings from the systems consolidation and reconsolidation literature. We derive several predictions from the computational model and suggest experiments that may test its validity.
Characteristics and risk factors of bortezomib induced peripheral neuropathy: A systematic review of phase III trials
Authors: Li Tiffany , Timmins Hannah C. , King Tracy , Kiernan Matthew C. , Goldstein David , Park Susanna B. 
Published: December 2019

AbstractBortezomib‐induced peripheral neuropathy (BIPN) is a common toxicity associated with the treatment of multiple myeloma (MM), typically requiring dose reduction, delay, or cessation of treatment protocol.This systematic review aimed to investigate risk factors, trends, and variability associated with the development of BIPN. Searches were undertaken using Medline, PubMed, Cochrane Central Register of Controlled Trials, Embase, Scopus, and Web of Science. Additional studies were identified by investigating authors' bibliographic references cited by original and review articles.Articles that reported on neuropathy in phase III randomised control trials involving bortezomib in any treatment arm for the treatment of MM were included in this review.A total of 43 full text articles met criteria, which examined 23 phase III trials (N = 8218). Overall incidence of neuropathy ranged from 8.4% to 80.5% (median = 37.8%) and severe neuropathy (grade 3‐4) ranged from 1% to 33.2% (median = 8%). Similar reports of neuropathy of any grade and severe neuropathy were observed between the newly diagnosed and relapsed cohort. Bortezomib regimens with reduced dose intensity were associated with reduced neuropathy incidence. Increased cumulative dosing levels, intravenous compared with subcutaneous administration and combination therapy with thalidomide were associated with higher rates of BIPN.This analysis revealed that BIPN is a significant toxicity. More sensitive measures are required to capture the incidence and severity of BIPN. Better understanding of risk factors and reversibility profiles will minimise the number of cancer survivors living with residual treatment side effects.
Radiotherapy in mantle cell lymphoma: A literature review
Authors: Ben Barouch Sharon , Kuruvilla John , Tsang Richard W. , Yashphe Eva , Sarid Nadav 
Published: December 2019

AbstractMantle cell lymphoma (MCL) is a B‐cell malignancy, comprising between 3% and 10% of all adult‐onset non‐Hodgkin lymphomas. MCL is considered incurable with current treatment modalities and most patients require multiple lines of treatment during their lifetime. MCL is very sensitive to radiotherapy (RT), even when delivered in low doses. In limited‐stage MCL, RT can enable the de‐escalation of systemic therapy. RT monotherapy is a valid option for frail patients. In advanced‐stage disease, RT is very potent mode of palliation, even in heavily pretreated and chemo‐resistant patients. Furthermore, it can provide a respite during which systemic treatment is unnecessary. In general, RT has a favorable toxicity profile and can be repeated as necessary for local relapse or distant disease. This effective, safe, and relatively inexpensive modality of therapy has been underutilized for patients with MCL. In this review, we will outline the use of RT for limited and advanced‐stage disease and its potential application in combination with novel drugs.
Impacts of future climate on the hydrology of a northern headwaters basin and its implications for a downstream deltaic ecosystem
Authors: Rokaya Prabin , Peters Daniel L. , Elshamy Mohamed , Budhathoki Sujata , Lindenschmidt Karl‐Erich 
Published: December 2019

AbstractAnthropogenic and climatic‐induced changes to flow regimes pose significant risks to river systems. Northern rivers and their deltas are particularly vulnerable due to the disproportionate warming of the Northern Hemisphere compared with the Southern Hemisphere. Of special interest is the Peace–Athabasca Delta (PAD) in western Canada, a productive deltaic lake and wetland ecosystem, which has been recognized as a Ramsar site. Both climate‐ and regulation‐induced changes to the hydrological regime of the Peace River have raised concerns over the delta's ecological health. With the damming of the headwaters, the role of downstream unregulated tributaries has become more important in maintaining, to a certain degree, a natural flow regime, particularly during open‐water conditions. However, their flow contributions to the mainstem river under future climatic conditions remain largely uncertain. In this study, we first evaluated the ability of a land‐surface hydrological model to simulate hydro‐ecological relevant indicators, highlighting the model's strengths and weaknesses. Then, we investigated the streamflow conditions in the Smoky River, the largest unregulated tributary of the Peace River, in the 2071–2100 versus the 1981–2010 periods. Our modelling results revealed significant changes in the hydrological regime of the Smoky River, such as increased discharge in winter (+190%) and spring (+130%) but reduced summer flows (−33%) in the 2071–2100 period compared with the baseline period, which will have implications for the sustainability of the downstream PAD. In particular, the projected reductions in 30‐day and 90‐day maximum flows in the Smoky River will affect open‐water flooding, which is important in maintaining lake levels and connectivity to perimeter delta wetlands in the Peace sector of the PAD. The evaluation of breakup and freeze‐up flows for the 2071–2100 period showed mixed implications for the ice‐jam flooding, which is essential for recharging high‐elevation deltaic basins. Thus, despite projected increase in annual and spring runoff in the 2071–2100 period from the Smoky sub‐basin, the sustainability of the PAD still remains uncertain.