Miracle-dz/UniFAR-FTUs huggingface dataset:
Contests with Expectation-Based Loss-Averse Players

This paper studies a multiple prize contest with expectation-based lossaverse contestants á la Kőszegi and Rabin (2006). The contest designer first decides on the prize structure the number and the level of prizes and contestants then simultaneously undertake costly efforts. Each contestant has private information about his ability, affecting his cost-of-effort. The model predicts that high-ability contestants overexert effort while low-ability contestants exert very little or no effort in comparison to predictions with standard preferences. This result is consistent with the behavior observed in recent laboratory experiments. I also show that the optimal prize allocation in contests differs markedly in the presence of expectation-based loss aversion. In particular, I show that multiple prizes can be optimal when the cost-ofeffort function is linear or concave, where standard preferences predict the optimality of a single prize in these cases. Several unequal prizes might be optimal when the cost-of-effort function is convex.
The safety of new oral anticoagulants for ischemic stroke and systemic embolism prevention in females with atrial fibrillation

The prevalence of atrial fibrillation is lower in females than in men, but the risk of stroke and systemic thromboembolism is comparable or even higher. Administration of anticoagulant therapy does not modify this difference. Two classes of non-vitamin K antagonist oral anticoagulants were studied in atrial fibrillation: direct thrombin inhibitors, like Dabigatran, and activated factor X inhibitors, like Rivaroxaban, Apixaban and Edoxaban. Response to oral anticoagulants could differ between the gender. This medication was evaluated in phase III randomized controlled trials. Non-vitamin K antagonist oral anticoagulants have been proved more efficacious than Warfarin for stroke and systemic embolism prevention in women, but conclusions regarding the safety and the bleeding are heterogeneous. As in men, before prescribing a NOAC to a female with AF, the stroke and the bleeding risk have to be carefully estimated. It is important that future studies to be targeted on comparison between of non-vitamin K antagonist oral anticoagulants versus Warfarin in females with non-valvular atrial fibrillation
Symmetric and Asymmetric effect of Investor Sentiment on Performance of Equity Market in Nairobi Securities Exchange, Kenya

The key aim of the study was determining the effect of investor sentiment on performance of equity market in Nairobi Securities Exchange, Kenya. Specifically the study determined the effect of investor sentiment on performance of equity market in Nairobi securities exchange, Kenya. The study was based on behavioral finance theories. The study was also based on positivism paradigm and explanatory research design. The study relied on monthly secondary data obtained from Central bank of Kenya, Nairobi Securities Exchange, Capital Markets Authority and Kenya National Bureau of Statistics between 2008 and 2018. The target population was all 67 listed firms in Nairobi securities exchange as captured by the Nairobi Securities Exchange All Share Index. The instruments of data collection were document review guides. The study used ARDL and NARDL models for data analysis. The findings of the study reported significant positive relationship between investor sentiment and performance of equity market. The study recommended that capital markets authority should monitor changes in investor sentiment in the market as it significantly affects equity market performance.
Visual scale evaluation as a measure of internal quality and freshness of commercial eggs

Objective. We aimed to evaluate the use of visual assessment scale of internal egg quality and its relationship with other quality variables during storage time. Materials and methods. The analyses were carried out in the Egg Quality Laboratory of Promitec Santander. To the study, 527 commercial table eggs from five regions of Colombia were used. Eggs were stored between 28 and 30°C. On days 3, 6, 8, 12, and 17 of storage, front and top view photographic records were made for visual scale scoring, and physicochemical measurements were performed. ANOVA and TUKEY test were used to compare means for each variable between the different measurement times. The correlations between the internal quality variables were analysed using correlation coefficient and linear regression. Results. Albumin and yolk pH increased and the visual scale and the yolk index decreased through the storage time (p>0.05). A negative correlation was observed between the pH of albumin with the yolk index and the visual scale. On the other hand, a positive correlation between the yolk index and the visual scale was found (p<0.05). Conclusions. Storage time at room temperature affects the physicochemical variables measured for quality, and also decreases the score on the visual evaluation scale; which allowed to identify and score observable physical chemical changes in the internal components of the egg.
Learning Behaviors through Physics-driven Latent Imagination

: Model-based reinforcement learning (MBRL) consists in learning a so-1 called world model, a representation of the environment through interactions with 2 it, then use it to train an agent. This approach is particularly interesting in the con-3 text of ﬁeld robotics, as it alleviates the need to train online, and reduces the risks 4 inherent to directly training agents on real robots. However, in such approaches, the 5 world encompasses both the part related to the robot itself and the rest of the environ-6 ment. We argue that decoupling the environment representation (for example, im-7 ages or laser scans) from the dynamics of the physical system (that is, the robot and 8 its physical state) may be beneﬁcial: it can increase the ﬂexibility of world models 9 and open the door to further robustiﬁcation. In this paper, we apply this concept to a 10 strong latent-agent, Dreamer. We then showcase the increase of ﬂexibility by trans-11 ferring the environmental part of the world model from one robot (a boat) to another 12 (a rover), simply by adapting the physical model in the imagination. We also demon-13 strate the robustness of our method through real-world experiments on a boat. 14
THE EFFECT OF USING COMPUTER SIMULATIONS ON GRADE 11 LEARNERS’ PERFORMANCE IN PLANTS BIODIVERSITY IN SOUTH AFRICA

Teachers use different pedagogies to improve learners’ performance. The study explored the effect of Computer Simulations (CS) on Grade 11 learners’ performance when taught Plants Biodiversity. A Solomon Four-Group design was used to cater for internal and external validity. Sixty-six learners were assigned to two Control Groups (CG) taught using CS and 66 learners to two Experimental Groups (EG) taught using Talk and Chalk Method (TCM). The pre-test was administered to EG1 and CG1, while post-tests were administered to all four groups. Focus Group Discussion Interviews (FGDI) were conducted with 12 learners: six from EG and six from CG. Quantitative data were analyzed using a T-test, Analysis of Variance (ANOVA), while qualitative data were analyzed using thematic analysis. The results show that EG outperformed CG (T-test; ANOVA; p < .05). Boys’ and girls’ performance in EG did not differ significantly, suggesting that CS favour both gender to perform well. CS positively influenced EG learners’ attitudes towards Biodiversity topic, but not CG. Thus, CS is an effective tool for enhancing learners’ performance. Keywords: computer simulations, Solomon Four-Group Design, learners’ performance, Talk and Chalk Method (TCM)
NATLID: Native Language Identiﬁcation

Native Language Identiﬁcation is the task of identifying the native language of a user based on a sample of their writing or speech or using both. This project presents several models to solve the problem of native language identiﬁcation using spoken and/or written responses using the dataset released by ETS. In this paper, we compare several different approaches for this task and built several models for the same: RNN over words, deep RNN with fully connected layers, CNN over characters, CNN over words, Deeper CNNs, RNN over CNN. Among all these, we saw that CNN over words model worked the best. Hence, we tried several approaches to iteratively improve our CNN over words model like adding pre-trained gloVe word vectors, normalizing i-vectors, etc. Finally, we used an ensemble of all the models, which gave a further bump in our precision.Our best results were obtained using an ensemble of the above models which gave a precision of 62.07 for the essay task, 52.33 for the speech task and 84.12 for the speech task with i-vectors.
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Scene understanding is an active research area. Commercial depth sensors, such as Kinect, have enabled the release of several RGB-D datasets over the past few years which spawned novel methods in 3D scene understanding. More recently with the launch of the LiDAR sensor in Apple's iPads and iPhones, high quality RGB-D data is accessible to millions of people on a device they commonly use. This opens a whole new era in scene understanding for the Computer Vision community as well as app developers. The fundamental research in scene understanding together with the advances in machine learning can now impact people's everyday experiences. However, transforming these scene understanding methods to real-world experiences requires additional innovation and development. In this paper we introduce ARKitScenes. It is not only the first RGB-D dataset that is captured with a now widely available depth sensor, but to our best knowledge, it also is the largest indoor scene understanding data released. In addition to the raw and processed data from the mobile device, ARKitScenes includes high resolution depth maps captured using a stationary laser scanner, as well as manually labeled 3D oriented bounding boxes for a large taxonomy of furniture. We further analyze the usefulness of the data for two downstream tasks: 3D object detection and color-guided depth upsampling. We demonstrate that our dataset can help push the boundaries of existing state-of-the-art methods and it introduces new challenges that better represent real-world scenarios.
Hypothalamic A 11 Nuclei Regulate the Circadian 2 Rhythm of the Mechanonociception and the Spinal 3 Clock Gene Transcription through Dopamine 4 Receptor Activation 5

Patients with degenerative diseases refer to feeling more pain during the 21 night. However, it is unknown whether spinal nociception can be circadian and 22 how is it controlled. We investigated whether the paw withdrawal threshold (PWT) 23 could exhibit physiological circadian behavior as well as the contribution of the 24 dopaminergic A11 nucleus and the spinal dopamine (DA) receptors (DRs) on the 25 circadian PWT and the spinal clock gene transcription. Results revealed that control 26 rats present a circadian PWT. Injecting 6-hydroxidopamine (6-OHDA) into the 27 dopaminergic A11 nucleus reduced DA tissue content in the lumbar spinal cord, 28 abolished the circadian PWT, induced allodynia, and reduced Period 1 and 2 (Per1 29 and 2), retinoid-related orphan receptor α (Rorα), Cryptochrome 1 (Cry1), and 30 brain and muscle aryl-hydrocarbon receptor nuclear translocator-like protein 31 (Bmal) mRNA. Likewise, administration of D1-like and D2-like DR antagonists 32 blunted circadian PWT, producing allodynia, and altered the clock genes mRNA. 33 In contrast, administration of D1-like or D2-like DR agonists blocked 6-OHDA34 induced allodynia. This study shows that the spinal cord has physiological 35 circadian PWT, which is modulated by the descending dopaminergic A11 through 36 differential activation of the spinal DRs. Also, A11 nuclei and spinal DRs can 37 regulate the clock gene transcription, which can likely modulate the circadian PWT. 38
The impact of environmental regulation on environmental performance: A focus on third party logistics service providers in an emerging country

The literature addresses the link between command and control environmental regulation and environmental performance. However, there is a lack of attention paid to how environmental strategy plays a mediating role in this relationship. In addition, the environmental research in the context of third-party logistics service providers seems to be underexplored. Thus, through the theoretical lens of institutional theory and contingency theory, this study examines the mediating role of environmental strategy on the relationship command and control environmental regulation and environmental performance. Data were collected from small and medium enterprises operating in the logistics industry of Vietnam and partial least square structural equation modeling was employed to examine the proposed hypotheses. The result indicates the full mediating effects of environmental strategy on the link between command and control environmental regulation and environmental performance. In this regard, this study contributes to growing empirical evidence showing that the link between environmental regulation and environmental performance is indirect through mediators. Besides, this study also extends the current knowledge of environmental strategy pursued by third-party logistics providers.
An Analysis of Flouting Maxim in a Talk Show Program in Indonesia

This paper is a flouting maxim analysis in Sapa Indonesia Malam talk show on Kompas TV in which Jerinx or I Gede Ari Astina became a guest star in this talk show. The present study aims to analyze a conversation and dig out information about flouting maxims. In this present research, a conceptual framework of Grice’s cooperative principle of flouting maxim was employed to analyze the data (Geis et al., 1976). The flouting maxim has four maxims: quality, quantity, relation, and manner. The method of this study was qualitative by using the utterances in the video conversation from the talk show in Sapa Indonesia Malam as analysis material, and the data were extracted from the video. This study’s instrument was the transcript text of the utterances between the hosts and Jerinx as a guest star consisting of flouting maxims. The data were analyzed by using flouting of the maxim in Discourse Analysis’ concept. This paper attempts to find the flouting maxims that mostly appear in the video conversation and determine the cause or reason for the maxim to emerge. The researchers comprehended the types of flouting maxims in the talk show, and then the researchers determined the types selected into categories based on guests’ utterances. After that, the researchers analyzed the predetermined types. The study found some floutings of the maxims of relation. There were 50% maxims of relation flouted by speakers, and from nine flouting maxims, the four data had the most reasons for appearing in the conversation.
ANALYSIS OF ORGANIZATIONAL JUSTICE: A CROSS SECTIONAL STUDY OF UNIVERSITY TEACHERS

The present research was conducted with the purpose to investigate the role of organizational justice on the lives of university teachers and to investigate the relationship between dimensions of organizational justice among university teachers. The study was descriptive in nature and survey method applied for the collection of data. All the university teachers working in universities of Islamabad were taken as a population of the study. 200 university teachers were taken as a sample of the study through a simple random sample technique. Organizational Justice Measurement Instrument (OJMI) developed by Ledimo (2015) was used in this research as a research instrument. The instrument comprised of 39 items. Data were collected through personal visits of the sampled universities. The data were collected through mean, standard deviation and correlation. The finding of the study revealed that there was a significant relationship found between the dimensions of organizational justice among university teachers. According to the findings of the study, it is recommended that supervisors as well as higher authorities in organizations may focus on all the dimensions of organizational justice equally. PJER, Vol 3, Issue 2 (2020) Analysis of organizational. 53
The evolution of eloquent located low-grade gliomas surgical approaches, their natural history and molecular classification

Low-grade glioma is characterized by slow growth, infiltrative pattern through white matter tracts and progression to a malignant tumour type. The traditional classification is newly replaced by molecular stratification. This reorganisation gathers glioma with similar prognosis and treatment protocols. The preferential location of that tumour in eloquent areas constituted, over time, a real challenge regarding the best surgical approach. Because of the high risk of postoperative neurological deficits initially a more conservative management was adopted. Once with the development of preoperative and intraoperative functional assessment techniques, a higher degree of resection was possible in the limits of corticosubcortical eloquence, being well known that this is a statistically significant factor for survival. We present in this paper the natural evolution of low-grade glioma, their new molecular classification, prognostic factors and the various approach proposed for
AN EFFICIENT CONTROL APPROACH OF VOLTAGE AND FREQUENCY REGULATION IN AN AUTONOMOUS MICROGRID

The sustainable development of a nation is highly dependent on remote area electrification, which consists of a majorly decentralized type of loads. To fulfil such energy demands, the microgrid is the emerging alternative that utilizes distributed energy sources. Microgrid performance parameters like voltage-frequency regulation, dynamic and steady-state response become very important when it is operating in islanded mode or under the load change conditions. In this paper, an improved efficient power control strategy, based on fuzzy gain scheduling of the conventional proportional-integral controller (FGSPI), is proposed for voltage-frequency control in an inverter-based distributed generation unit. The simulation results of the proposed control strategy are compared with the conventional PI controller under aforesaid conditions. The simulation responses show the effectiveness of the proposed control strategy to restore the stability of the microgrid even in islanded condition. The intelligent and smooth operation of the proposed controller shows better robust performance than the traditional controller in MATLAB/Simulink environment.
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets

Robot learning holds the promise of learning policies that generalize broadly. However, such generalization requires sufficiently diverse datasets of the task of interest, which can be prohibitively expensive to collect. In other fields, such as computer vision, it is common to utilize shared, reusable datasets, such as ImageNet, to overcome this challenge, but this has proven difficult in robotics. In this paper, we ask: what would it take to enable practical data reuse in robotics for end-to-end skill learning? We hypothesize that the key is to use datasets with multiple tasks and multiple domains, such that a new user that wants to train their robot to perform a new task in a new domain can include this dataset in their training process and benefit from cross-task and cross-domain generalization. To evaluate this hypothesis, we collect a large multi-domain and multi-task dataset, with 7,200 demonstrations constituting 71 tasks across 10 environments, and empirically study how this data can improve the learning of new tasks in new environments. We find that jointly training with the proposed dataset and 50 demonstrations of a never-before-seen task in a new domain on average leads to a 2x improvement in success rate compared to using target domain data alone. We also find that data for only a few tasks in a new domain can bridge the domain gap and make it possible for a robot to perform a variety of prior tasks that were only seen in other domains. These results suggest that reusing diverse multi-task and multi-domain datasets, including our open-source dataset, may pave the way for broader robot generalization, eliminating the need to re-collect data for each new robot learning project.
Optimism and dispositional hope to promote college students’ subjective well-being in the context of the COVID-19 pandemic

Coronavirus stress with the restrictions and unexpected life changes has affected individuals and their satisfaction with life. This study aimed to examine the mediating role of optimism and hope on the relationship between coronavirus stress and subjective wellbeing among young adults in Turkey. A sample of 331 (M= 20.86 and 64% females) college students participated in this study. The results demonstrated that coronavirus stress was negatively associated with the college students’ sense of hope and optimism. Moreover, coronavirus stress had an indirect effect on subjective well-being through optimism and hope. Optimism and hope mitigated the adverse impacts of stress on well-being during the pandemic. These results indicated that young adults with a high level of stress due to coronavirus have lower optimism and hope, which in turn have less subjective well-being. The study findings hence highlight that being hopeful and optimistic are the potential resources to explain how coronavirus stress is related to subjective well-being.
ORGANIZATIONS AS INSTITUTIONS

Organizations are the preeminent institutional form in modem society. They organize and structure the daily activities of most people. This pervasive quality of organizations has frequently been noted (e.g., Aldrich and Pfeffer, 1976; R. H. Hall, 197 1 ; Etzioni, 1964; Presthus, 1962). Organizations are everywhere, involved in almost every possible sphere of human action. Manufacturing firms, schools, grocery stores, churches, and even "social movement organizations," structure segments of life at some point. Not only do organizations have direct effects on the lives of people, they in many senses can be treated as "corporate actors," which have grown to have "immense size and immense power" over "natural persons" (Coleman, 1974:35). Despite widespread recognition of the central position and role of organizations in modem life, scant attention has been paid to the power that organizations
The importance of mechanical circulatory support on pediatric waitlist and post heart transplant survival: a narrative review

While heart transplantation for children with end-stage heart failure has been available for more than 50 years, outcomes on the waitlist and as well as post-transplant outcomes have not always been favorable. Post-transplant survival initially showed marked improvement with better and better immunosuppression regimens. However, waitlist outcomes (as well as those deemed too sick to list) remained unfortunately low. With the introduction of mechanical circulatory support (MCS) in the 1970s, a new hope for the those with end-stage heart failure emerged. Initially extracorporeal membrane oxygenation (ECMO) and intra-aortic balloon pumps were tried but both waitlist and post-transplant mortality were unacceptable. Paracorporeal pulsatile ventricular assist devices (VAD) ushered in better waitlist survival and intracorporeal continuous-flow VAD borrowed from the adults have increased safety both before and after transplant. Over the last couple of decades that hope of MCS has turned into remarkable advances in preand post-transplant outcomes. As survival continues to improve, there is now a push to decrease morbidity seen in many of the early devices. Even the current devices available continue to exhibit unreasonably high complication rates, especially in the smaller and more complex patients. This paper will review the past, present and what is on the horizon for MCS as a bridge to heart transplantation in pediatric patients.