bluuebunny/crossref_metadata_2025_split huggingface dataset:
Activin receptor ALK4 coordinates extracellular signals and intrinsic transcriptional programs to regulate development of cortical somatostatin interneurons
Authors: Göngrich Christina , Krapacher Favio A. , Munguba Hermany , Fernández-Suárez Diana , Andersson Annika , Hjerling-Leffler Jens , Ibáñez Carlos F. 
Published: October 2019

AbstractAlthough the role of transcription factors in fate specification of cortical interneurons is well established, how these interact with extracellular signals to regulate interneuron development is poorly understood. Here we show that the activin receptor ALK4 is a key regulator of the specification of somatostatin interneurons. Mice lacking ALK4 in GABAergic neurons of the medial ganglionic eminence (MGE) showed marked deficits in distinct subpopulations of somatostatin interneurons from early postnatal stages of cortical development. Specific loses were observed among distinct subtypes of somatostatin+/Reelin+double-positive cells, including Hpse+layer IV cells targeting parvalbumin+interneurons, leading to quantitative alterations in the inhibitory circuitry of this layer. Activin-mediated ALK4 signaling in MGE cells induced interaction of Smad2 with SATB1, a transcription factor critical for somatostatin interneuron development, and promoted SATB1 nuclear translocation and repositioning within the somatostatin gene promoter. These results indicate that intrinsic transcriptional programs interact with extracellular signals present in the environment of MGE cells to regulate cortical interneuron specification.
Normative Data for an Expanded Set of Stimuli for Testing High-Level Influences on Object Perception: OMEFA-II
Authors: Flowers Colin S. , Orsten-Hooge Kimberley D. , Jannuzi Barnes G.L. , Peterson Mary A. 
Published: October 2019

AbstractWe present normative data for bipartite displays used to investigate high-level contributions to object perception in general and to figure-ground perception in particular. In these vertically-elongated displays, two equal-area regions of different luminance abut a central, articulated, vertical border. In Intact displays, a portion of a mono-oriented well-known (“familiar”) object is sketched along one side of the border; henceforth the “critical side.” The other side is the “complementary side.” We measured inter-subject agreement among 32 participants regarding objects depicted on the critical and complementary sides of the borders of Intact displays and two other types of displays: upright and inverted Part-Rearranged displays. The parts on the critical side of the border are the same in upright Intact and Part-Rearranged displays but spatially rearranged into a new configuration in the latter. Inter-subject agreement is taken to index the extent to which a side activates traces of previously seen objects near the central border. We report normative data for 288 regions near the central borders of 144 displays (48/type) and a thorough description of the image features. This set of stimuli is larger than an older “Object Memory Effects on Figure Assignment” (OMEFA) set. This new OMEFA-II set of high-resolution displays is available online (https://osf.io/j9kz2/).
Complex Autoinflammatory Syndrome Unveils Fundamental Principles of JAK1 Transcriptional and Biochemical Function
Authors: Gruber Conor , Calis Jorg , Buta Sofija , Evrony Gilad , Martin Jerome , Uhl Skyler , Caron Rachel , Jarchin Lauren , Dunkin David , Phelps Robert , Webb Bryn , Saland Jeffrey , Merad Miriam , Orange Jordan , Mace Emily , Rosenberg Brad , Gelb Bruce , Bogunovic Dusan 
Published: October 2019

AbstractAutoinflammatory disease can result from monogenic errors of immunity. We describe herein the first example of a patient with early-onset widespread autoinflammation resulting from a mosaic, heterozygous, gain-of-function mutation (S703I) in JAK1, encoding a kinase essential for signaling downstream of over twenty-five cytokines. By first-of-its-kind custom single-cell RNA sequencing, we examine mosaicism with single cell resolution. We uncover that JAK1 transcription is predominantly restricted to a single allele across different immune cells, introducing the concept of a mutational “transcriptotype” that differs from the genotype. Functionally, the S703I mutation not only increased JAK1 kinase activity, but also resulted in transactivation of partnering JAKs, independently of its catalytic domain. Further, S703I JAK1 was not solely hypermorphic for cytokine signaling, but neomorphic as well, as it enabled downstream signaling cascades not canonically mediated by JAK1. Given these results, the patient was treated with tofacitinib, a JAK inhibitor, which led to rapid resolution of her clinical disease. Together, these findings represent an unprecedented degree of personalized medicine with the concurrent discovery of fundamental biological principles.
Analytical investigation of non-Fickian receptor-mediated endocytosis
Authors: Rismanian Milad , Damirchi Behzad 
Published: October 2019

AbstractThe most important process in which viruses and bioparticles can enter the animal cell is receptor mediated endocytosis. The main propellant of this phenomenon is the attraction between receptor molecules floating in the lipid bilayer membrane of the host cell and ligand molecules on the target. In this paper, the aforementioned phenomenon is investigated analytically assuming that the diffusion model of the receptor molecules in the lipid bilayer is non-Fickian. Penetration time of the target molecule in the host cell shows that there is a critical limit for the target molecule size. The molecules larger than this critical size will experience an oscillatory motion without passing the host cell membrane. For instance, it is found that the maximum diameter for a typical target molecule with dimensionless relaxation time of 5 for receptor diffusion into a cell membrane is 0.22 of the membrane length.
Measuring and enhancing organisational creative climate, knowledge sharing, and innovative work behavior in startups development
Authors: Munir Rosintansafinas , Beh Loo-See 
Published: October 2019

PurposeThe purpose of this paper is to examine the role of the organizational creative climate, knowledge sharing and innovative work behavior in startups development. This study also aims to discover the R square, predictive relevance and effect size of the developed model.Design/methodology/approachA quantitative method was used, and a total of 352 usable questionnaires were collected from employees at startups particularly in services sector in Malaysia. The structural equation was developed to explain the complicated relationship between organizational creative climate, knowledge sharing and innovative work behavior. The results of hypothesis were analyzed using structural equation modeling – partial least square (SEM-PLS) test.FindingsThe results indicate that organizational creative climate significantly influence innovative work behavior (H1), organizational climate positively affects knowledge sharing (H2) and knowledge sharing significantly influence innovative work behavior (H3). In addition, the results also show that the R square values of innovative work behavior is weak (R2= 0.067), while the predictive relevance value demonstrating the model has sufficient predictive relevance. Further, the results of effect size show medium effect for organizational creative climate and knowledge, while the remaining indicates small effect size.Practical implicationsThis study provides a comprehensible and clear understanding on how organizational creative climate and knowledge sharing play important role in fostering the individual innovative work behavior in Malaysian startups.Originality/valueResearch on the significance of organizational creative climate, knowledge sharing and to innovative work behavior particularly in the startups context has not been sufficiently explored. This study shed new light to the startups eco-system stakeholders in stimulating individual innovative work behavior through the practices of sharing information as well as the creative climate and innovative elements in the entrepreneurial activities.
Deploying artificial neural networks for modeling energy demand: international evidence
Authors: Bannor B. Emmanuel , Acheampong Alex O. 
Published: October 2019

Purpose
This paper aims to use artificial neural networks to develop models for forecasting energy demand for Australia, China, France, India and the USA.

Design/methodology/approach
The study used quarterly data that span over the period of 1980Q1-2015Q4 to develop and validate the models. Eight input parameters were used for modeling the demand for energy. Hyperparameter optimization was performed to determine the ideal parameters for configuring each country’s model. To ensure stable forecasts, a repeated evaluation approach was used. After several iterations, the optimal models for each country were selected based on predefined criteria. A multi-layer perceptron with a back-propagation algorithm was used for building each model.

Findings
The results suggest that the validated models have developed high generalizing capabilities with insignificant forecasting deviations. The model for Australia, China, France, India and the USA attained high coefficients of determination of 0.981, 0.9837, 0.9425, 0.9137 and 0.9756, respectively. The results from the partial rank correlation coefficient further reveal that economic growth has the highest sensitivity weight on energy demand in Australia, France and the USA while industrialization has the highest sensitivity weight on energy demand in China. Trade openness has the highest sensitivity weight on energy demand in India.

Originality/value
This study incorporates other variables such as financial development, foreign direct investment, trade openness, industrialization and urbanization, which are found to have an important effect on energy demand in the model to prevent underestimation of the actual energy demand. Sensitivity analysis is conducted to determine the most influential variables. The study further deploys the models for hands-on predictions of energy demand.
Research on configuration design and operation effect evaluation for ultra high voltage (UHV) vertical insulator cleaning robot
Authors: Yan Yu , Jiang Wei , Zhang An , Li Qiao Min , Li Hong Jun , Chen Wei , Lei YunFei 
Published: October 2019

Purpose
This study aims to the three major problems of low cleaning efficiency, high labor intensity and difficult to evaluate the cleaning effect for manual insulators cleaning in ultra high voltage (UHV) converter station, the purpose of this paper is to propose a basic configuration of UHV vertical insulator cleaning robot with multi-freedom-degree mechanical arm system on mobile airborne platform and its innovation cleaning operation motion planning.

Design/methodology/approach
The main factors affecting the insulators cleaning effect in the operation process have been analyzed. Because of the complex coupling relationship between the influencing factors and the insulators cleaning effect, it is difficult to establish its analytical mathematical model. Combining the non-linear mapping and approximation characteristics of back propagation (BP) neural network, the insulator cleaning effect evaluation can be abstracted as a non-linear approximation process from actual cleaning effect to ideal cleaning effect. An evaluation method of robot insulator cleaning effect based on BP neural network has been proposed.

Findings
Through the BP neural network training, the robot cleaning control parameters can be obtained and used in the robot online operation control, so that the better cleaning effect can be also obtained. Finally, a physical prototype of UHV vertical insulator cleaning robot has been developed, and the effectiveness and engineering practicability of the proposed robot configuration, cleaning effect evaluation method are all verified by simulation experiments and field operation experiments. At the same time, this method has the remarkable characteristics of sound versatility, strong adaptability, easy expansion and popularization.

Originality/value
An UHV vertical insulator cleaning robot operation system platform with multi-arm system on airborne platform has been proposed. Through the coordinated movement of the manipulator each joint, the manipulator can be positioned to the insulator strings, and the insulator can be cleaned by two pairs high-pressure nozzles located at the double manipulator. The influence factors of robot insulator cleaning effect have been analyzed. The BP neural network model of insulator cleaning effect evaluation has been established. The evaluation method of robot insulator cleaning effect based on BP neural network has also been proposed, and the corresponding evaluation result can be obtained through the network training. Through the system integration design, the robot physical prototype has been developed. For the evaluation of other operation effects of power system, the validity and engineering practicability of the robot mechanism, motion planning and the method for evaluating the effect of robot insulator cleaning have been verified by simulation and field operation experiments.
Financial risks in Rwandan smallholder broiler production
Authors: Kenner Bartholemew , Lambert Dayton M. , Trejo-Pech Carlos Omar , Thompson Jada M. , Gill Thomas 
Published: October 2019

Purpose
The purpose of this paper is to determine the stochastic net present value (NPV) of a model smallholder poultry operation in Rwanda under production and market uncertainty.

Design/methodology/approach
A discounted cash flow calculator was used to determine the NPV of operator investments and operating cash flows, including time, materials and capital. Broiler production data, market prices and variable input costs were collected from 125 smallholder operations in the Musanze District, Rwanda. These data were combined with a historical price index tracking the inflation rate of Rwanda’s currency. Policies including overstocking, technical support repayment scheduling, selling broilers at a spot market price, using marketing contracts and selling poultry manure were compared using non-parametric paired comparisons and stochastic dominance.

Findings
Risk-neutral and risk-averse producers would prefer overstocking, delaying repayment of technical support services and selling manure to status quo operational policy. No differences were observed between the option to sell birds at spot market prices or through contracts.

Research limitations/implications
This analysis demonstrates how individual managerial or an intervention in smallholder broiler production affects financial performance.

Practical implications
To mitigate risk associated with this novel enterprise, producers should consider overstocking birds. If local markets for manure were developed, the risks faced by new or beginning poultry operators could be mitigated.

Originality/value
A stochastic, discounted cash flow model calculator was used to determine the NPV and discounted payback period of operator investments and operating cash flows, including time, materials and capital.
Shadow prices of non-performing loans and the global financial crisis
Authors: Tarchouna Ameni , Jarraya Bilel , Bouri Abdelfettah 
Published: October 2019

Purpose
This paper aims to determine the opportunity cost borne by US commercial banks to reduce non-performing loans (NPLs) by one unit within the global financial crisis framework.

Design/methodology/approach
To achieve this aim, the authors use the directional output distance function to estimate the technical efficiency while considering NPLs as undesirable output. Then, they estimate the shadow prices of NPLs by using the envelope theorem and solving the revenue function.

Findings
The results indicate that medium-sized banks are the most efficient, while small banks are the most inefficient ones. Moreover, the shadow prices of NPLs of large banks are higher than those of small and medium-sized banks. This implies a more elevated cost when lessening bad loans in large banks. This is more prominent during the crisis given that the shadow prices of NPLs of large banks have risen sharply over that period.

Practical implications
Shadow prices have important managerial implications given that they display the amounts of required reduced revenues to lessen NPLs. Accordingly, banks’ managers are called to reduce these loans by paying more attention when choosing their customers.

Originality/value
With the absence of an observable market price for bad loans in financial literature, the shadow price notion offers an adequate measure to evaluate them. To the best of authors’ knowledge, this is the first study that provides an estimation of the shadow price of NPLs in the US banking sector.
Seismic‐impedance inversion with fuzzy clustering constraints: an example from the Carlin Gold District, Nevada, USA
Authors: Kieu Duy Thong , Kepic Anton 
Published: October 2019

ABSTRACTThe seismic reflection method provides high‐resolution data that are especially useful for discovering mineral deposits under deep cover. A hindrance to the wider adoption of the seismic reflection method in mineral exploration is that the data are often interpreted differently and independently of other geophysical data unless common earth models are used to link the methods during geological interpretation. Model‐based inversion of post‐stack seismic data allows rock units with common petrophysical properties to be identified and permits increased bandwidth to enhance the spatial resolution of the acoustic‐impedance model. However, as seismic reflection data are naturally bandlimited, any inversion scheme depends upon an initial model, and must deal with non‐unique solutions for the inversion. Both issues can be largely overcome by using constraints and integrating prior information. We exploit the abilities of fuzzy c‐means clustering to constrain and to include prior information in the inversion. The use of a clustering constraint for petrophysical values pushes the inversion process to select models that are primarily composed of several discrete rock units and the fuzzy c‐means algorithm allows some properties to overlap by varying degrees. Imposing the fuzzy clustering techniques in the inversion process allows solutions that are similar to the natural geologic patterns that often have a few rock units represented by distinct combinations of petrophysical characteristics. Our tests on synthetic models, with clear and distinct boundaries, show that our methodology effectively recovers the true model. Accurate model recovery can be obtained even when the data are highly contaminated by random noise, where the initial model is homogeneous, or there is minimal prior petrophysical information available. We demonstrate the abilities of fuzzy c‐means clustering to constrain and to include prior information in the acoustic‐impedance inversion of a challenging magnetotelluric/seismic data set from the Carlin Gold District, USA. Using fuzzy c‐means guided inversion of magnetotelluric data to create a starting model for acoustic‐impedance proved important in obtaining the best result. Our inversion results correlate with borehole data and provided a better basis for geological interpretation than the seismic reflection images alone. Low values of the acoustic impedance in the basement rocks were shown to be prospective by geochemical analysis of rock cores, as would be predicted for later gold mineralization in weak, decalcified rocks.
The Coordination Role of Stress Tests in Bank Risk‐Taking
Authors: CORONA CARLOS , NAN LIN , ZHANG GAOQING 
Published: October 2019

ABSTRACTWe examine whether stress tests distort banks' risk‐taking decisions. We study a model in which a regulator may choose to rescue banks in the event of concurrent bank failures. Our analysis reveals a novel coordination role of stress tests. Disclosure of stress‐test results informs banks of the failure likelihood of other banks, which can reduce welfare by facilitating banks' coordination in risk‐taking. However, conducting stress tests also enables the regulator to more effectively intervene banks, coordinating them preemptively into taking lower risks. We find that, if the regulator has a strong incentive to bail out, stress tests improve welfare, whereas if the regulator's incentive to bail out is weak, stress tests impair welfare.
Propofol for Treatment of Acute Migraine in the Emergency Department: A Systematic Review
Authors: Piatka Corissa , Beckett Robert D. 
Published: October 2019

AbstractObjectivesPropofol has not been extensively studied as an acute migraine therapy; however, based on the limited evidence from outpatient and inpatient settings, propofol has been proposed as an option for patients who present to the emergency department (ED). The purpose of this review was to evaluate the existing literature regarding the safety and efficacy of propofol for acute migraine treatment in the ED.MethodsA systematic review of clinical studies of propofol treatment for acute migraine in the ED was performed using Preferred Reporting Items for Systematic Review and Meta‐Analysis (PRISMA) guidelines. Trials were identified through PubMed, Google Scholar, clinical trial registries, research registries, and key journals through May 2019. A modified Jadad scoring system was used to assess the methodologic quality of the included randomized controlled trials, and the Newcastle‐Ottawa Scale was used for the retrospective cohort study.ResultsNine studies, including five case reports or series, one retrospective cohort study, and three randomized controlled trials, consisting of 290 patients, were reviewed. All studies in adults reported propofol to be an effective therapy for migraine, but the strength of these results was limited by dosing variations, small sample sizes, and limited generalizability. Pediatric studies produced mixed results.ConclusionsPropofol may be an effective rescue therapy for patients presenting to the ED for acute migraine, but its place in therapy based on the limited available evidence is unknown. The safety of propofol for migraine management in the ED has not been adequately examined.
Basic symptoms influence real‐life functioning and symptoms in individuals at high risk for psychosis
Authors: Glenthøj L.B. , Bailey B. , Kristensen T.D. , Wenneberg C. , Hjorthøj C. , Nordentoft M. 
Published: October 2019

ObjectiveTo investigate potential clinical differences in high‐risk profiles presenting with and without basic symptoms, and additionally investigate the association between basic symptoms and clinical symptoms, functioning, and cognition.MethodsHigh‐risk individuals (n = 133) were stratified into individuals fulfilling ultra‐high‐risk (UHR) criteria (n = 59) and individuals fulfilling UHR+ basic symptoms criteria (BS) (n = 74). Group differences were assessed on clinical symptoms, real‐life functioning, and cognition. Regression analyses were conducted to elucidate on the relationship between BS and clinical symptoms, functioning, neurocognition, and social cognition.ResultsThe group fulfilling both UHR+ BS criteria had significantly more symptoms and lower real‐life functioning and quality of life but not more cognitive deficits. BS influenced on attenuated psychotic, depressive, and general symptoms, but only modestly on negative symptoms. No relationship between BS and neuro‐ and social cognition was established except for an association with emotion recognition processing speed. BS influenced real‐life functioning, and this finding was sustained when controlling for the effect of negative symptoms.ConclusionsOur findings indicate that BS contribute highly to the distress and symptom load of clinical high‐risk individuals. Longitudinal findings are needed to establish the predictive validity of BS on high‐risk individuals’ clinical and functional prognosis.