Miracle-dz/UniFAR-FTUs huggingface dataset:
Computer-Assisted Cognitive Remediation in Schizophrenia: Efficacy of an Individualized vs. Generic Exercise Plan

Computer-assisted cognitive remediation (CACR) is an economical, adjustable, and effective treatment for individuals with schizophrenia. The current randomized controlled study examined whether an individualized or generic exercise plan in CACR is superior in patients with multiple cognitive deficits compared to treatment-as-usual (TAU). Fifty-nine inpatients diagnosed with schizophrenia were randomly assigned to 1) TAU, 2) TAU plus an individualized exercise plan in CACR, or 3) TAU plus a generic exercise plan in CACR. Neuropsychological performance, psychopathology, and functional outcome were assessed at baseline and post-treatment. The results show a medium to large training effect for all neuropsychological performance measures. Contrary to our expectations the neuropsychological improvement over time did not differ between groups. Self-reported depression, global level of functioning, and activity and participation functioning showed a significant improvement from baseline to post-treatment. However no further group, time, or interaction effects for other psychopathology and functional outcome could be demonstrated. Possible implications for clinical use of CACR and future studies are discussed.
Correction of frameshift mutations in the atpB gene by translational recoding in chloroplasts of Oenothera and tobacco

Translational recoding, also known as ribosomal frameshifting, is a process that causes ribosome slippage along the messenger RNA, thereby changing the amino acid sequence of the synthesized protein. Whether the chloroplast employs recoding, is unknown. I-iota, a plastome mutant of Oenothera (evening primrose), carries a single adenine insertion in an oligoA stretch of atpB (encoding a β-subunit of the ATP synthase). The mutation is expected to cause synthesis of a truncated, non-functional protein. We report that a full-length AtpB protein is detectable in I-iota leaves, suggesting operation of a recoding mechanism. To characterize the phenomenon, transplastomic tobacco lines were generated, in which the atpB reading frame was altered by insertions or deletions in the oligoA motif. We found that insertion of two adenines was more efficiently compensated than insertion of a single adenine, or deletion of one or two adenines. We further show that homopolymeric composition of the oligoA stretch is essential for recoding. Plants carrying a disrupted oligoA stretch have an albino-phenotype, indicating absence of indel correction. Our work provides evidence for the operation of translational recoding in chloroplasts. Recoding enables correction of frameshift mutations and can restore photoautotrophic growth in mutants that otherwise would be lethal.
A Comparative Study of Beliefs among Elementary- and Intermediate-Level Students at a Historically Black University.

This investigation compared the beliefs about foreign language (FL) learning held by African American students enrolled in elementary courses with those enrolled at the intermediate level. The following research question was addressed: Do African American students at the elementary level have significantly different beliefs from students at the intermediate level? The participants were students enrolled in firstand second-year Spanish courses at a Historically Black College/ University (HBCU). The Beliefs about Language Learning Inventory (BALLI) was used for data collection. Elementary-level students’ responses were compared to those of the intermediate-level students by independent samples t-tests conducted on the items of the scale. Results showed that level of instruction had significant effects on student views about FL learning. More specifically, secondyear students had a higher level of integrative motivation as they placed more value on study abroad; having native instructors, acquaintances, and friends; and practicing with other FL learners. They also exhibited a higher level of instrumental motivation, being more aware than their elementary-level peers of the career benefits of FL study. Finally, second-year students expressed a higher concern for accuracy as well as a preference for early error correction and they were less willing to take risks with the FL. Research and teaching implications are discussed.
Determining Context Factors for Hybrid Development Methods with Trained Models

Selecting a suitable development method for a specific project context is one of the most challenging activities in process design. Every project is unique and, thus, many context factors have to be considered. Recent research took some initial steps towards statistically constructing hybrid development methods, yet, paid little attention to the peculiarities of context factors influencing method and practice selection. In this paper, we utilize exploratory factor analysis and logistic regression analysis to learn such context factors and to identify methods that are correlated with these factors. Our analysis is based on 829 data points from the HELENA dataset. We provide five base clusters of methods consisting of up to 10 methods that lay the foundation for devising hybrid development methods. The analysis of the five clusters using trained models reveals only a few context factors, e.g., project/product size and target application domain, that seem to significantly influence the selection of methods. An extended descriptive analysis of these practices in the context of the identified method clusters also suggests a consolidation of the relevant practice sets used in specific project contexts.
In vitro flowering of miniature roses (Rosa × hybrida L. 'Red Imp') in response to salt stress.

Miniature rose plantlets in the flowering stage were photoautotrophically grown on MS (MURASHIGE and SKOOG 1962) medium and subsequently exposed to 0 (control), 25, 50 or 100 mM NaCl for 14 d. The Na+ in the leaf tissues of salt stressed plantlets was enriched, resulting in proline accumulation and the degradation of total chlorophyll. Pigment degradation, chlorophyll a fluorescence diminution and net photosynthetic rate (Pn) reduction in miniature rose plantlets exposed to 100 mM NaCl were maximized when compared to the control, especially Pn reduction (77.96 % of control), leading to growth reduction. In contrast, the proline content in the salt stressed plantlets was enriched, indicating salt stress. In plants cultivated in vitro, the flowering percentage and the number of flowers per plantlet declined significantly under both 50 and 100 mM NaCl salt stress. The flowering stage of miniature rose plantlets was susceptible to salt stress, the reproductive developmental process being suppressed, which may be an effective indicator for salt tolerance screening in rose genotypes.
The endemic New Guinean genus Murexia (Dasyuromorphia : Dasyuridae). How many species? An analysis based on morphological, distributional and molecular data

Abstract. Five species are currently recognised in the dasyurid genus Murexia, i.e. longicaudata, naso, habbema, melanurus and rothschildi. Morphological data, including spacing of premolar teeth, the footpads and aspects of external appearance, together with nuclear and mitochondrial DNA sequences from multiple exemplars from across the range of each species, suggest that at least three of these represent species groups rather than individual species. Some of the taxa currently synonymised in the five species may warrant reinstatement, including M. murex, M. aspera, M. maxima in the ‘M. longicaudata’ group, M. tafa in the ‘M. naso’ group and M. wilhelmina in the ‘M. melanurus’ group. Our data also suggest the presence of other, synonymised or undescribed taxa within the ‘longicaudata’, ‘naso’, ‘melanurus’ and ‘habbema’ species groups whose species boundaries require clarification by further collections and study.
The validation and application of a Super- resolution PIV Post-Processing Method Based on Sub-Pixel Image Shifting and Optical Flow

A super-resolution PIV post-processing method based on sub-pixel image shifting and optical flow method is proposed. The overall accuracy of the PIV result is improved without obtaining other information, and the super-resolution result is obtained. This method can provide more small-scale flow structure information for the study of combustion, shock and vortex. A new image shifting method is proposed, which allows pixels to shift to the interval of the pixel grid, reconstruct the image without losing the displacement information due to rounding, and make the new post-processing method suitable for any type of PIV algorithm. According to the validation result of the synthetic PIV image, the root mean square (rms) error obtained by the post-processing method is significantly smaller than that of the original PIV result. A set of experimental images is analyzed. The results show that the super-resolution PIV postprocessing method can reduce the influence of image defects on the displacement field calculation, in addition to obtaining higher displacement field accuracy.
Airborne pollen observations using a multi-wavelength Raman
polarization lidar in Finland: characterization of pure pollen types

Abstract. We present a novel algorithm for characterizing the optical properties of pure pollen particles, based on the depolarization values obtained in lidar measurements. The algorithm was first tested and validated through a simulator, and then applied to the lidar observations during a four-month pollen campaign from May to August 2016 at the European Aerosol Research Lidar Network (EARLINET) station in Kuopio (62°44′ N, 27°33′ E), in Eastern Finland. Twenty types of pollen were observed and identified from concurrent measurements with Burkard sampler; Birch (Betula), pine (Pinus), spruce (Picea) and nettle (Urtica) pollen were most abundant, contributing more than 90 % of total pollen load, regarding number concentrations. Mean values of lidar-derived optical properties in the pollen layer were retrieved for four intense pollination periods (IPPs). Lidar ratios at both 355 and 532 nm ranged from 55 to 70 sr for all pollen types, without significant wavelength-dependence. Enhanced depolarization ratio was found when there were pollen grains in the atmosphere, and even higher depolarization ratio (with mean values of 25 % or 14 %) was observed with presence of the more non-spherical spruce or pine pollen. The depolarization ratio at 532 nm of pure pollen particles was assessed, resulting to 24 ± 3 % and 36 ± 5 % for birch and pine pollen, respectively. Pollen optical properties at 1064 nm and 355 nm were also estimated. The backscatter-related Angstrom exponent between 532 and 1064 nm was assessed as ~ 0.8 (~ 0.5) for pure birch (pine) pollen, thus the longer wavelength would be better choice to trace pollen in the air. The pollen depolarization ratio at 355 nm of 17 % and 30 % were found for birch and pine pollen, respectively. The depolarization values show a wavelength dependence for pollen. This can be the key parameter for pollen detection and characterization.
Reduced listening effort in noise with StereoZoom in Naída

Hearing loss is associated with increased listening effort. People suffering from hearing loss are constantly trying to ‘fill in the blanks’ of what they are listening to e.g. speech. This can take effort and can result in fatigue (Hornsby, 2013). Hearing aids attempt to improve speech intelligibility and therefore in turn, should reduce the amount of effort required in order to understand speech. The benefit of this is that the user should find the listening experience more enjoyable and be less fatigued.
Constructing a Hybrid Software Process Simulation Model in Practice: An Exemplar from Industry

Background: Software Process Simulation Modeling (SPSM) is of paramount importance to support quantitative management of software development process. Hybrid process simulation combines multiple simulation paradigms to reflect complex changes in realistic software processes, which brings inherent challenges to process management. Constructing a hybrid model requires more modeling expertise and experience than modeling by solo-paradigm. However, a few studies explicitly discuss the challenges they encountered as a topic, which may discourage practitioners.Objective: Our aim in this study is to present an industrial process modeling project as an exemplar to demonstrate and discuss the technical issues and challenges associated with hybrid process simulation in practice.Method: Based on the collaboration with a global software enterprise, we constructed a hybrid process simulation model that combines System Dynamics (SD) and Discrete Event Simulation (DES) to predict the project duration and release date for management.Results: Several challenges around hybrid process simulation of software development process are identified and discussed with the proposal of sets of solutions from different perspectives. The model is validated by comparing the simulation result with the actual enactment of the process in industry. In addition, the result confirms the rationality and efficacy of the suggested solutions to some extent.Conclusions: In the collaboration with the enterprise, five-step modeling procedure was adopted for constructing the hybrid process model. The experience reported about the detailed steps of hybrid modeling may offer reference value to the SPSM community.
Optimal Unilateral Carbon Policy

Carbon policies differ by region, potentially generating inefficient shifts in location, an effect known as leakage. To understand the effects of differential carbon prices, we derive the optimal unilateral policy where one region of the world imposes a carbon tax and the rest of the world does not. The optimal policy can be implemented through (i) a nominal tax on extraction at a rate equal to the global marginal harm from emissions, (ii) a border adjustment on imports and exports of energy and on imports, but not exports, of goods, at a lower rate than the extraction tax rate, and (iii) an export subsidy designed to expand the export margin. By combining supply side and demand side taxes, the optimal policy controls leakage by controlling the price of energy. It exploits international trade to expand the reach of the climate policy. We calibrate and simulate the model to illustrate how the optimal policy compares to more traditional policies such as extraction, production and consumption taxes and combinations of those taxes.
Coupling optimization experiment on HL-2A based on Passive-Active Multijunction antenna for 3.7GHz Lower Hybrid system

System Introduction. A new Lower Hybrid Wave (LHW) system (3.7GHz/2MW/2s) has been built on HL-2A tokamak. A Passive-Active-Multijunction (PAM) concept antenna [1], [2] was designed and built, fed by 500kW× 4 TH2103A Klystrons, delivering ITER-relevant power density, i.e. 25MW/m2 at f = 3.7GHz [3],[4]. The antenna is designed to launch a peak parallel refractive index of N||=2.75 with a low theoretical Reflection Coefficient (RC), i.e. less than 1% [5], [6]. A specific gas puffing system for improving the antenna coupling and a set of Langmuir probes for antenna mouth density measurements are separately located on one side of the antenna each. An auxiliary vacuum system is installed at the rear of the antenna to improve the pumping efficiency. Vacuum leak tests and low power microwave scattering parameter measurements were done before the PAM antenna was installed on HL-2A, allowing the antenna to be conditioned at RF power of 100kW/100ms before starting plasma operation.
An Efficient Nodes Failure Recovery Management Algorithm for Mobile Sensor Networks

Wireless sensor networks are not prone to harsh environments and may fail due to various reasons. Failure of sensor nodes causes partitioning of network into various small segments and restricts the communication of nodes. Due to the significant importance of restoration mechanisms, many approaches have been proposed in the literature so far. However, these approaches do not focus on uniform distribution of sensor nodes before the occurrence of failure. This paper fulfills the shortcoming in the literature by proposing a Uniform Distribution and Recovery Algorithm (UDRA) in two parts. The first part (prefailure algorithm) focuses on preparing the mobile sensor nodes to be ready for the failure beforehand by maintaining half of their communication distance between them. Also, it uses a novel method of directional matrix based on one-hop information. By using this method, each mobile node declares itself as cut-vertex (CV), intermediate node, or leaf node. The second part of the algorithm (postfailure algorithm) gives complete recovery procedure in the network by its recovery nodes. The extensive simulations prove that the proposed algorithm supersedes the existing approaches.
Chapter 3-Technologies underpinning AIS

It is now widely accepted that Information Technology (IT) has been, and still is, a major driver for accounting to become a knowledge service profession (Granlund, 2011). AIS have grown into complex decision-support systems whilst increasing the speed and accuracy of more traditional accounting tasks (Mauldin and Ruchala, 1999). IT impacts the quality of the AIS (measured in terms of scope, timeliness, aggregation, reliability, flexibility and usefulness), which in turn impacts the quality of accounting information (Wisna, 2013). To become the enabling and empowering tool AIS are considered to be, they require technological underpinnings that facilitates their smooth operation (Choe, 1998; Gelinas, Dull and Wheeler, 2015; Ghasemi et al., 2011; Wisna, 2013). Inadequate technology underpinning AIS can burden the company with extra maintenance and data recovery costs, and issues with data reliability, security and privacy. Thus, inadequate technology can potentially corrupt the very outcomes of an AIS, namely reports and decision-relevant information (Ghasemi et al., 2011), leading to incorrect, unreliable decisions.
Terindeks DOAJ: 2541-2965 THE ROLE OF ORGANIZATIONAL CITIZENSHIP BEHAVIOR AS A MEDIATOR IN THE RELATIONSHIP BETWEEN JOB SATISFACTION AND TURNOVER INTENTIONS

Info Artikel Abstract Sejarah Artikel: Diterima 20 Januari 2019 Disetujui 25 Februari 2019 Dipublikasikan 30 Maret 2019 This study was conducted to investigate the mediating effect of organizational citizenship behavior (OCB) in the relationship between job satisfaction & turnover intentions. Drawing on social exchange theory, it is expected that individuals with high job satisfaction, indicated by positive emotions towards aspects of work, will show high levels of OCB by helping their coworkers and the organization, and in turn show low turnover intentions. Data were taken from teachers in an International School in Jakarta (N = 80). Result showed that OCB was found to fully mediate the relationship between job satisfaction and turnover intentions, indicating that all variance of job satisfaction was translated into turnover intentions via OCB. Theoretical and practical implications were further discussed.
The Emerging Role of Neutrophil Extracellular Traps (NETs) in Tumor Progression and Metastasis

Neutrophil Extracellular Traps (NETs) are net-like structures composed of DNA-histone complexes and proteins released by activated neutrophils. In addition to their key role in the neutrophil innate immune response, NETs are also involved in autoimmune diseases, like systemic lupus erythematosus, rheumatoid arthritis, psoriasis, and in other non-infectious pathological processes, as coagulation disorders, thrombosis, diabetes, atherosclerosis, vasculitis, and cancer. Recently, a large body of evidence indicates that NETs are involved in cancer progression and metastatic dissemination, both in animal models and cancer patients. Interestingly, a close correlation between cancer cell recruitment of neutrophils in the tumor microenvironment (Tumor Associated Neutrophils. TANs) and NET formation has been also observed either in primary tumors and metastatic sites. Moreover, NETs can also catch circulating cancer cells and promote metastasis. Furthermore, it has been reported that wake dormant cancer cells, causing tumor relapse and metastasis. This review will primarily focus on the pro-tumorigenic activity of NETs in tumors highlighting their ability to serve as a potential target for cancer therapy.
The Uniformisation Theorem

The goal of this essay is to provide a proof of the uniformisation theorem. We closely follow the approach taken in the last chapter of T. Gamelin’s Complex Analysis [3]. The main change lies in the organisation of the material, since propositions that are not required for the proof of the uniformisation theorem are omitted. The Riemann mapping theorem states that any non-empty simply connected proper open subset of the complex plane is conformally equivalent to the open unit disc. The uniformisation theorem is a significant generalisation of the Riemann mapping theorem. It states that every simply connected Riemann surface is conformally equivalent to the open unit disc, the complex plane, or the Riemann sphere. The theorem was originally conjectured by Felix Klein in 1882. It is said [1] that the theorem occurred to him at 2:30am while in the middle of an asthma attack. Rigorous proofs were given by Paul Koebe and Henri Poincare in 1907. The proof given here is centred around solving Laplace’s equation by using Perron’s method and Green’s functions. The prerequisites are an undergraduate course in complex analysis and point set topology. We assume the Riemann mapping theorem. The proof outline is as follows:
Vital Insights into Prokaryotic Genome Compaction by Nucleoid-Associated Protein (NAP) and Illustration of DNA Flexure Angles at Single Molecule Resolution

Integration Host Factor (IHF) is a heterodimeric site-specific nucleoid-associated protein (NAP) well known for its DNA bending ability. The binding is mediated through the narrow minor grooves of the consensus sequence, involving van der-Waals interaction and hydrogen bonding. Although the DNA bend state of IHF has been captured by both X-ray Crystallography and Atomic Force Microscopy (AFM), the range of flexibility and degree of heterogeneity in terms of quantitative analysis of the nucleoprotein complex has largely remained unexplored. Here we have monitored and compared the trajectories of the conformational dynamics of a dsDNA upon binding of wild-type (wt) and single-chain (sc) IHF at millisecond resolution through single-molecule FRET (smFRET). Our findings reveal that the nucleoprotein complex exists in a ‘Slacked-Dynamic’ state throughout the observation window where many of them have switched between multiple ‘Wobbling States’ in the course of attainment of packaged form. A range of DNA ‘Flexure Angles’ has been calculated that give us vital insights regarding the nucleoid organization and transcriptional regulation in prokaryotes. This study opens up an opportunity to improve the understanding of the functions of other nucleoid-associated proteins (NAPs) by complementing the previous detailed atomic-level structural analysis, which eventually will allow accessibility towards a better hypothesis.