Miracle-dz/UniFAR-FTUs huggingface dataset:
CAM-chem: description and evaluation of interactive atmospheric chemistry in the Community Earth System Model

Abstract. We discuss and evaluate the representation of atmospheric chemistry in the global Community Atmosphere Model (CAM) version 4, the atmospheric component of the Community Earth System Model (CESM). We present a variety of configurations for the representation of tropospheric and stratospheric chemistry, wet removal, and online and offline meteorology. Results from simulations illustrating these configurations are compared with surface, aircraft and satellite observations. Major biases include a negative bias in the high-latitude CO distribution, a positive bias in upper-tropospheric/lower-stratospheric ozone, and a positive bias in summertime surface ozone (over the United States and Europe). The tropospheric net chemical ozone production varies significantly between configurations, partly related to variations in stratosphere-troposphere exchange. Aerosol optical depth tends to be underestimated over most regions, while comparison with aerosol surface measurements over the United States indicate reasonable results for sulfate , especially in the online simulation. Other aerosol species exhibit significant biases. Overall, the model-data comparison indicates that the offline simulation driven by GEOS5 meteorological analyses provides the best simulation, possibly due in part to the increased vertical resolution (52 levels instead of 26 for online dynamics). The CAM-chem code as described in this paper, along with all the necessary datasets needed to perform the simulations described here, are available for download at www.cesm. ucar.edu .
Growth, Investment, and Saving in the Arab Economies

Sustaining a high rate of economic growth is the major policy issue facing the Arab economies. A detailed analysis of growth, investment, and savings for the period 1971-96, including through a growth accounting exercise, shows that increasing long-run growth requires improvements in both investment and domestic savings. In the past, the Arab region`s growth was overly reliant on volatile external sources of funding, and total factor productivity growth was too low. The paper discusses the policy priorities to overcome the legacy of poor growth.
Crystal Structure of the Human Monoacylglycerol Lipase, a Key Actor in Endocannabinoid Signaling

2‐Arachidonoylglycerol plays a major role in endocannabinoid signaling, and is tightly regulated by the monoacylglycerol lipase (MAGL). Here we report the crystal structure of human MAGL. The protein crystallizes as a dimer, and despite structural homologies to haloperoxidases and esterases, it distinguishes itself by a wide and hydrophobic access to the catalytic site. An apolar helix covering the active site also gives structural insight into the amphitropic character of MAGL, and likely explains how MAGL interacts with membranes to recruit its substrate. Docking of 2‐arachidonoylglycerol highlights a hydrophobic and a hydrophilic cavity that accommodate the lipid into the catalytic site. Moreover, we identified Cys201 as the crucial residue in MAGL inhibition by N‐arachidonylmaleimide, a sulfhydryl‐reactive compound. Beside the advance in the knowledge of endocannabinoids degradation routes, the structure of MAGL paves the way for future medicinal chemistry works aimed at the design of new drugs exploiting 2‐arachidonoylglycerol transmission.
Sharing a Common Origin Between the Rotational and Linear Doppler Effects

The well‐known linear Doppler effect arises from the linear motion between source and observer, while the less well‐known rotational Doppler effect arises from the rotational motion. Here, we present both theories and experiments illustrating the relationship between the rotational and linear Doppler effects. A spiral phaseplate is used to generate a light beam carrying orbital angular momentum and the frequency shift is measured arising from its rotational and/or linear motion. By considering either the motion‐induced time‐evolving phase or the momentum and energy conservation in light‐matter interactions, we derive the rotational Doppler shift, linear Doppler shift, and overall Doppler shift associated with rotational and linear motions. We demonstrate the relationship between rotational and linear Doppler shifts, either of which can be derived from the other effect, thereby illustrating their shared origin. Moreover, the close relationship between rotational and linear Doppler effects is also deduced for a more general moving rough surface.
The role of nonlinear critical layers in boundary layer transition

Asymptotic methods are used to describe the nonlinear self-interaction between pairs of oblique instability modes that eventually develops when initially linear spatially growing instability waves evolve downstream in nominally two-dimensional laminar boundary layers. The first nonlinear reaction takes place locally within a so-called ‘critical layer’, with the flow outside this layer consisting of a locally parallel mean flow plus a pair of oblique instability waves - which may or may not be accompanied by an associated plane wave. The amplitudes of these waves, which are completely determined by nonlinear effects within the critical layer, satisfy either a single integro-differential equation or a pair of integro-differential equations with quadratic to quartic-type nonlinearities. The physical implications of these equations are discussed.
Role of Fear in a Predator–Prey Model with Beddington–DeAngelis Functional Response

Abstract In the present article, we investigate the impact of fear effect in a predator–prey model, where predator–prey interaction follows Beddington–DeAngelis functional response. We consider that due to fear of predator the birth rate of prey population reduces. Mathematical properties, such as persistence, equilibria analysis, local and global stability analysis, and bifurcation analysis, have been investigated. We observe that an increase in the cost of fear destabilizes the system and produces periodic solutions via supercritical Hopf bifurcation. However, with further increase in the strength of fear, system undergoes another Hopf bifurcation and becomes stable. The stability of the Hopf-bifurcating periodic solutions is obtained by computing the first Lyapunov coefficient. Our results suggest that fear of predation risk can have both stabilizing and destabilizing effects.
Deletion of Protein Kinase D1 in Pancreatic β-Cells Impairs Insulin Secretion in High-Fat Diet–Fed Mice

Ββ-Cell adaptation to insulin resistance is necessary to maintain glucose homeostasis in obesity. Failure of this mechanism is a hallmark of type 2 diabetes (T2D). Hence, factors controlling functional β-cell compensation are potentially important targets for the treatment of T2D. Protein kinase D1 (PKD1) integrates diverse signals in the β-cell and plays a critical role in the control of insulin secretion. However, the role of β-cell PKD1 in glucose homeostasis in vivo is essentially unknown. Using β-cell–specific, inducible PKD1 knockout mice (βPKD1KO), we examined the role of β-cell PKD1 under basal conditions and during high-fat feeding. βPKD1KO mice under a chow diet presented no significant difference in glucose tolerance or insulin secretion compared with mice expressing the Cre transgene alone; however, when compared with wild-type mice, both groups developed glucose intolerance. Under a high-fat diet, deletion of PKD1 in β-cells worsened hyperglycemia, hyperinsulinemia, and glucose intolerance. This was accompanied by impaired glucose-induced insulin secretion both in vivo in hyperglycemic clamps and ex vivo in isolated islets from high-fat diet–fed βPKD1KO mice without changes in islet mass. This study demonstrates an essential role for PKD1 in the β-cell adaptive secretory response to high-fat feeding in mice.
Disability and its influence in nutritional assessment tools in elderly people living in nursing homes.

INTRODUCTION Poor nutritional status is associated with increased morbidity and mortality, especially in older people. OBJECTIVE The aim of this study was to assess nutritional status in elderly nursing home residents with different nutritional test, and to determine which parameters used for nutritional assessment can be carried out in this population, which usually have a high prevalence of functionally dependent residents. METHODS A cross-sectional study was performed in 383 elderly. The nutritional assessment tools used were the Mini Nutritional Assessment (MNA), the new ESPEN consensus definition of malnutrition, and the tool for Controlling Nutritional Status (CONUT). Moreover, the ability to perform basic activities of daily living was assessed with the Barthel index (BI). RESULTS According to BI, 78.9% had a total dependence and only 20.9% could be weighed and heighed. The prevalence of malnutrition with MNA, ESPEN and CONUT was 21.3%, 17.6% and 20.7%, respectively. The agreement between MNA vs ESPEN criteria was moderate (kappa = 0.483), but with CONUT was low. CONCLUSIONS Nursing homes had a high percentage of totally dependent residents. This high degree of functional dependence made difficult to obtain some anthropometric parameters such as weight and height, which are essential to carry out most nutritional tests. MNA, CONUT and the new ESPEN criteria of malnutrition showed a high prevalence of malnutrition and risk of malnutrition in subjects in which they could be performed.
The Restating of Financial Statements by REITs

This article is the first to examine financial restatements by real estate investment trusts (REITs). We provide a descriptive breakdown of the underlying causes of REIT restatements as well as overall and subsample analyses of stock market reactions to restatements from 2000 to 2011. REIT restatements occur for a large variety of accounting issues with the most common being expense-related (e.g., leases, depreciation). We find that the average market reaction for REIT restatements is negative 0.63%, which is less negative than non-REIT restatements. Further investigation reveals that a significant portion of REIT restatements result in large positive or negative returns, the most extreme of which appear to be a result of both the restatement and other news released simultaneously. Cross-sectional analysis shows that the most important determinant of restatement cumulative abnormal returns (CARs) is whether the restatement is a result of Securities and Exchange Commission (SEC) comment letters or involves an investigation by regulators, which lowers the CAR by 5.64%. Overall, the findings suggest that REIT restatements occur for a variety of reasons, and REIT investors place high value on quality financial statements.
Exploiting Structure for Fast Kernel Learning

We propose two methods for exact Gaussian process (GP) inference and learning on massive image, video, spatial-temporal, or multi-output datasets with missing values (or "gaps") in the observed responses. The first method ignores the gaps using sparse selection matrices and a highly effective low-rank preconditioner is introduced to accelerate computations. The second method introduces a novel approach to GP training whereby response values are inferred on the gaps before explicitly training the model. We find this second approach to be greatly advantageous for the class of problems considered. Both of these novel approaches make extensive use of Kronecker matrix algebra to design massively scalable algorithms which have low memory requirements. We demonstrate exact GP inference for a spatial-temporal climate modelling problem with 3.7 million training points as well as a video reconstruction problem with 1 billion points.
Differential Effects of Angry Faces on Working Memory Updating in Younger and Older Adults

Research suggests that cognition-emotion interactions change with age. In the present study, younger and older adults completed a 2-back task, and the effects of negative stimuli were analyzed as a function of their status in the n-back sequence. Older adults were found to benefit more from angry than from neutral probes relative to younger adults. However, they were slower when lures were angry and less accurate when lures and probes had the same emotion. The results suggest that recollection of the n-back sequence was reduced in older adults, making them more susceptible to the facilitating and impairing effects of negative emotion.
Effectiveness of a multifaceted intervention to reduce night-time sedative use in a rehabilitation unit: a pre–post intervention study

Background night-time sedation prescribed during a hospital stay can result in long-term use of such medications in older people. We examined the effectiveness of a multifaceted intervention to reduce night time sedation in an inpatient rehabilitation unit. Methods an initial retrospective survey of night-time sedative use was followed by prospective re-evaluation after a number of changes were made including education of staff and of patients regarding the potential hazards of sedative medications, measures to promote sleep hygiene and facilitate a 'quiet time' after 10 pm and development of a withdrawal protocol for patients on long-term night sedation. The primary outcome measures were the proportions of patients started on night sedation in the unit and the proportion of those using night sedation where a dose reduction was attempted before and after the intervention. Results night sedation was prescribed for 22/68 (32.4%) subjects in the pre- and 23/169 (13.6%) subjects in the post-intervention surveys (P = 0.001); medication started while in the unit dropped from 10 (14.7%) to 1 (0.6%) (P < 0.0001). There was an improvement in the proportion of patients using night sedation where an attempt was made to reduce the dosage of or eliminate sedative drug use prior to discharge after the intervention was introduced (3/22 (13.6%) vs 14/23 (60.9%) (P = 0.001)). Conclusions a multifaceted intervention, including ongoing education, audit and feedback and changes to unit practices to promote a 'quiet time' at night, leads to a substantial reduction in the use of night sedation in inpatients.
Socialist Heritage and the Opinion on Entrepreneurs: Micro-Level Evidence from Europe

What factors shape an individual’s opinion on entrepreneurs? How do these factors differ across countries? This paper analyzes the relationship between socialist history and individuals’ opinions on entrepreneurs. Using a large-scale micro-level dataset from 30 European countries, we find that individuals from countries with a socialist history have a more negative opinion on entrepreneurs. This negative effect is less pronounced for individuals that are younger, better educated and have self-employed parents. Our paper makes two contributions: First, it provides empirical evidence on the determinants of individuals’ opinion on entrepreneurs. Second, it contributes to the understanding of entrepreneurship in former socialist countries.
Polaron Physics in Optical Lattices

We investigate the effects of a nearly uniform Bose-Einstein condensate (BEC) on the properties of immersed trapped impurity atoms. Using a weak-coupling expansion in the BEC-impurity interaction strength, we derive a model describing polarons, i.e., impurities dressed by a coherent state of Bogoliubov phonons, and apply it to ultracold bosonic atoms in an optical lattice. We show that, with increasing BEC temperature, the transport properties of the impurities change from coherent to diffusive. Furthermore, stable polaron clusters are formed via a phonon-mediated off-site attraction.
Parallel Write-Efficient Algorithms and Data Structures for Computational Geometry

In this paper, we design parallel write-efficient geometric algorithms that perform asymptotically fewer writes than standard algorithms for the same problem. This is motivated by emerging non-volatile memory technologies with read performance being close to that of random access memory but writes being significantly more expensive in terms of energy and latency. We design algorithms for planar Delaunay triangulation, k -d trees, and static and dynamic augmented trees. Our algorithms are designed in the recently introduced Asymmetric Nested-Parallel Model, which captures the parallel setting in which there is a small symmetric memory where reads and writes are unit cost as well as a large asymmetric memory where writes are $ømega$ times more expensive than reads. In designing these algorithms, we introduce several techniques for obtaining write-efficiency, including DAG tracing, prefix doubling, and α-labeling, which we believe will be useful for designing other parallel write-efficient algorithms.
NMT-Based Segmentation and Punctuation Insertion for Real-Time Spoken Language Translation

Insertion of proper segmentation and punctuation into an ASR transcript is crucial not only for the performance of subsequent applications but also for the readability of the text. In a simultaneous spoken language translation system, the segmentation model has to fulfill real-time constraints and minimize latency as well. In this paper, we show the successful integration of an attentional encoder-decoder-based segmentation and punctuation insertion model into a real-time spoken language translation system. The proposed technique can be easily integrated into the real-time framework and improve the punctuation performance on reference transcripts as well as on ASR outputs. Compared to the conventional language model and prosody-based model, our experiments on end-to-end spoken language translation show that translation performance is improved by 1.3 BLEU points by adopting the NMT-based punctuation model, maintaining low-latency.
The Determinants of Candidates' Vote Share and the Advantages of Incumbency in City Council Elections

Theory: The congressional and state legislative elections literature suggest that candidates' performance in elections is largely a function of incumbency, campaign spending, and party support. Little is known, however, about how these variables affect candidates' vote share in city council elections. Hypotheses: I expect incumbency, campaign spending, and party organization support to be the most important predictors of candidates' vote share. In addition, I expect endorsements from local newspapers and race or ethnicity of the candidates to influence election outcomes. Methods: Multiple regression models are tested on 631 candidates who ran for the Chicago city council between 1979 and 1995. Data are from a variety of local newspapers, official campaign finance disclosure reports, and official election returns. Results: Incumbency, Democratic party support, number of opponents, campaign spending, and newspaper endorsements are all significant predictors of candidates' vote share. Democratic Party organization support is still an important component of ward-level politics in Chicago, despite a weakening of the machine at the county level. Findings also indicate that campaign spending is an increasingly important component of these contests.
A new 21-level asymmetrical multilevel inverter topology with different PWM techniques

This paper presents an asymmetrical multilevel inverter topology with Different PWM techniques. This paper used one cell of conventional cascade H-Bridge Multilevel inverter structure with additional switch and voltage source to obtain high voltage level. The aim of this paper to enhance the voltage level at the output with using less switch. To improve the output voltage harmonic spectrum, the pulse width modulation (PWM) techniques used. The advantage of this proposed topology to reduce the circuit complexity and total harmonic distortion. The results of proposed 21-Level Asymmetrical multilevel Inverter are shown using MATLAB/SIMULINK software.
A Novel Greeting Selection System for a Culture-Adaptive Humanoid Robot

Robots, especially humanoids, are expected to perform human-like actions and adapt to our ways of communication in order to facilitate their acceptance in human society. Among humans, rules of communication change depending on background culture: greetings are a part of communication in which cultural differences are strong. Robots should adapt to these specific differences in order to communicate effectively, being able to select the appropriate manner of greeting for different cultures depending on the social context. In this paper, we present the modelling of social factors that influence greeting choice, and the resulting novel culture-dependent greeting gesture and words selection system. An experiment with German participants was run using the humanoid robot ARMAR-IIIb. Thanks to this system, the robot, after interacting with Germans, can perform greeting gestures appropriate to German culture in addition to a repertoire of greetings appropriate to Japanese culture.
Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation

Crucial to the success of training a depth-based 3D hand pose estimator (HPE) is the availability of comprehensive datasets covering diverse camera perspectives, shapes, and pose variations. However, collecting such annotated datasets is challenging. We propose to complete existing databases by generating new database entries. The key idea is to synthesize data in the skeleton space (instead of doing so in the depth-map space) which enables an easy and intuitive way of manipulating data entries. Since the skeleton entries generated in this way do not have the corresponding depth map entries, we exploit them by training a separate hand pose generator (HPG) which synthesizes the depth map from the skeleton entries. By training the HPG and HPE in a single unified optimization framework enforcing that 1) the HPE agrees with the paired depth and skeleton entries; and 2) the HPG-HPE combination satisfies the cyclic consistency (both the input and the output of HPG-HPE are skeletons) observed via the newly generated unpaired skeletons, our algorithm constructs a HPE which is robust to variations that go beyond the coverage of the existing database. Our training algorithm adopts the generative adversarial networks (GAN) training process. As a by-product, we obtain a hand pose discriminator (HPD) that is capable of picking out realistic hand poses. Our algorithm exploits this capability to refine the initial skeleton estimates in testing, further improving the accuracy. We test our algorithm on four challenging benchmark datasets (ICVL, MSRA, NYU and Big Hand 2.2M datasets) and demonstrate that our approach outperforms or is on par with state-of-the-art methods quantitatively and qualitatively
Power Consumption for Core Scraping in the Separation of Rind-Pith from Corn Stalk

In order to study the energy consumption of separation of pith and rind of corn stalk, a self-designed corn stalk separating unit was adopted in this work to measure the energy consumption by an electric power method. Four parameters—the rotational speed of pith-stripping, clearance between teeth and panel, feeding speed of stalk, and helix angle—were selected as influencing factors. By choosing the three indicators, effective specific energy (ESE), total specific energy (TSE), and energy utilization ratio (EUR) as evaluation indexes, response surface analysis was employed to obtain the influence law model of various experimental factors on evaluation indexes based on orthogonal tests. After all evaluation indexes, working efficiencies, and stalk scraping effects were taken into a comprehensive consideration, the working parameters of the core scraping mechanism were selected as follows: 840 r/min for the rotational speed of pith-stripping, 413 r/min for the feeding speed, 1.56 mm for the tooth-panel clearance, and 25° for the helix angle of scrapper blade. In this case, ESE, TSE, and EUR were 2.21 Wh·kg-1, 10.73 Wh·kg-1, and 22.29%, respectively. The results could be applied to the design and optimization of separation of pith and rind of corn stalk.