Miracle-dz/UniFAR-FTUs huggingface dataset:
ORGANIZATIONAL SOCIALIZATION, JOB AUTONOMY AND JOB PERFORMANCE IN PUBLIC SECONDARY SCHOOLS OF MALAYSIA: ORGANIZATIONAL CITIZENSHIP BEHAVIOR AS MEDIATOR

Teachers are the backbone of education system in Malaysia. The success or failure of educational activities are highly dependent on their job performance. A few comprehensive studies have shown the factors influences employee performance in other sectors but do not adequately represent a significant gap in education. Using a theoretical model based on social exchange theory and job characteristics theory, this study aims to investigate the relationship between organizational socialization, job autonomy and teachers’ job performance considering organizational citizenship behavior in schools (OCBS) as a mediating variable in public secondary schools of Malaysia. Quantitative methodology was used in this study. The study used convenience sampling to select sample of 550 teachers in Malaysia. Questionnaires were used to collect the data. The study used SEM inferential statistical approach where SmartPLS software was selected to run the data analysis. Study findings indicated that OCBS mediated the relationship between organizational socialization and teachers’ job performance. OCBS also mediated the relationship between job autonomy and teachers’ job performance. This study also found that organizational socialization has a direct relationship with teachers’ job performance. The implication of the study is that it is prudent for Ministry of Education or the principals to allow teachers in school to enjoy more autonomy in completing task, create organizational citizenship behavior culture in schools, recognize and value teachers’ voluntary activities and offer mentor-mentee programme in helping new teachers get to know the school better in order to heighten teachers’ job performance in schools. This study elucidated the importance of organizational socialization in impacting job performance of teachers besides showing the importance influence of OCBS in relation to teachers’ job performance.
Tomi Summanen HIERARCHICAL STRUCTURE OF AUTOMATION APPLICATION

The automation application that controls a process is designed separately for each plant. The plant specific application development is based on initial information such as functional descrip-tions and diagrams. An automation engineer transforms those specifications into automation application with the features the automation system offers. The applications are designed as function block diagrams. The function block language has a limited capability to express complex functions so thousands of diagrams are needed to represent the full functionality of a factory. The application is built of separate device specific controls that are connected to form the control logic of the factory. The automation applications do not conform to a uniform format as all suppliers have their own. Designing automation application is a multiphase and multi-stakeholder process. The application engineering is time consuming and the used structures are inefficient. The engineering can be accelerated by using former applications, either productized solutions or copying existing functionality. This thesis concentrates on alternative application format. A hierarchical format where the level of application details varies between design levels was proposed to streamline engineering. The focus was to assemble a model that would fit into continuous process automation. The main research method was user interviews. The interviews are supported by review of the application engineering process and its effecting variables. Current application model contains too much variation and is too detailed for intended use. The main development item towards better format is the possibility to use application diagrams as visual design elements in other diagrams. An abstract format would allow the design of larger structures. Other implementation details and requirements came up that are worthwhile to consider if changing the application structure. The hierarchical structure was supported by its ability to adapt to the needed detail level and to visualize the structure better. The proposed model would not on its own help the application engineering efficiency if there is no change on the specification format.
Mechanical Circulatory Support in High-Risk Percutaneous Mechanical Circulatory Support in High-Risk Percutaneous Coronary Intervention Coronary Intervention

augment and myocardial The use of mechanical circulatory support devices allows more complete revascularization and facilitates procedures that previously may not have been technically feasible. Prospective randomized trials to date have not shown a benefit for the routine use of mechanical circulatory support in patients with low ejection fraction and a high burden of coronary disease. (cid:1) Further research is required to identify groups that will receive the maximal benefit of mechanical circulatory support in high-risk PCI.
Cross-Lingual Event Detection via Optimized Adversarial Training

In this work, we focus on Cross-Lingual Event Detection where a model is trained on data from a \textit{source} language but its performance is evaluated on data from a second, \textit{target}, language. Most recent works in this area have harnessed the language-invariant qualities displayed by pre-trained Multi-lingual Language Models. Their performance, however, reveals there is room for improvement as the cross-lingual setting entails particular challenges. We employ Adversarial Language Adaptation to train a Language Discriminator to discern between the source and target languages using unlabeled data. The discriminator is trained in an adversarial manner so that the encoder learns to produce refined, language-invariant representations that lead to improved performance. More importantly, we optimize the adversarial training process by only presenting the discriminator with the most informative samples. We base our intuition about what makes a sample informative on two disparate metrics: sample similarity and event presence. Thus, we propose leveraging Optimal Transport as a solution to naturally combine these two distinct information sources into the selection process. Extensive experiments on 8 different language pairs, using 4 languages from unrelated families, show the flexibility and effectiveness of our model that achieves state-of-the-art results.
Breaking ore and gender patterns a strategic and sustainable R&I-agenda for the Swedish mining industry

The Swedish mining industry experiences a major production and economic boost and Lulea University of Technology (LTU) has established itself as Europe’s leading mining university. Together they are, along with other actors in society, a leading innovation system. This innovation system, however, face a number of challenges, such as recruitment problems, demand for new technology and research, mining communities that need be upgraded and restructured and unequal, gendered work, organizations and innovation policy initiatives. In this paper we present a gender aware research and innovation agenda in the mining sector, which aims to create more gender equal innovation and thus contribute to a socially sustainable and internationally competitive development of the Swedish mining sector. The agenda, a result of interactive collaboration between the project team, LTU mining researchers and actors from e.g. LKAB, Boliden AB, Northland resources as well as The County Council of Norrbotten and the local communities, contains a list of tentative projects, defined by the innovation system. Some examples of projects are; Key roles of middle management for a gender equal mining industry, Gender patterns among mining entrepreneur companies, Gender aware and strategic recruitment, promotion and retention practices in the mining industry and Attractive and gender equal mining communities. The long-¬? term vision, defined by the innovation system, is that the Swedish mining industry is a field of excellence, that the industry is well known for being world-¬? class at breaking ore and gender patterns, that gender aware organizations and workplace cultures are created and sustained for efficiency, productivity and innovation as well as that regions and communities are characterized by economic growth, openness, tolerance and collaboration between mining companies and society. Drawing on theories and reflections on “undoing gender”, “degendering” and “gender toning down” we will in the paper also introduce a discussion on the relations between global mining industry, work organizations (mining companies, entrepreneur companies), labour unions, other actors, surrounding local communities and regional context etc. when it comes to doing and constructions of masculinities.
Identifying the biological control of the interannual and long-term variations in South Atlantic air-sea CO 2 flux

The accumulation of anthropogenic CO 2 emissions in the atmosphere has been buffered by the global oceans absorbing CO 2 and acting as a net CO 2 sink. The CO 2 flux between the atmosphere and the ocean, that collectively results in the oceanic carbon sink, is spatially and temporally variable, and fully understanding the driving mechanisms behind this flux is key to assessing how the sink may change in the future. In this study a time series decomposition analysis was applied 10 to satellite observations to determine the drivers that control the sea-air difference of CO 2 partial pressure (Δ p CO 2 ) and the CO 2 flux on seasonal and interannual time scales in the South Atlantic Ocean. Linear trends in Δ p CO 2 and the CO 2 flux were calculated to identify key areas of change. Seasonally, changes in both the Δ p CO 2 and CO 2 flux were dominated by sea surface temperature (SST) in the subtropics (north of 40 o S) and correlated with biological processes in the subpolar regions (south of 40 °S). The Equatorial Atlantic 15 indicated that biological processes were a key driver, as a response to upwelling and riverine inputs. These results highlighted that seasonally Δ p CO 2 can act as an indicator to identify drivers of the CO 2 flux. Interannually, the SST and biological contributions to the CO 2 flux in the subtropics were correlated with the Multivariate ENSO Index (MEI) leading to a weaker (stronger) CO 2 sink in El Niño (La Niña) years. The 16-year time-series significant trends in Δ p CO 2 and CO 2 flux, however, these trends were not always 20 consistent in magnitude or spatial extent. Therefore, predicting the oceanic response to climate change the examination of CO 2 flux rather than Δ p CO 2 . Positive CO 2 flux trends (weakening sink for atmospheric CO 2 identified within the Benguela upwelling system, consistent with increased upwelling and wind speeds. Negative trends in the CO 2 flux (intensifying sink for atmospheric CO 2 ) offshore into the South Atlantic Gyre, were consistent with an increase in the export of nutrients in mesoscale features, which drive biological drawdown of CO 2 . These long-term trends in the CO 2 flux indicate 25 that the biological contribution to changes in the air-sea CO 2 flux cannot be overlooked when scaling up to estimates of the global ocean carbon sink.
A cohort study examining the association between children’s symptoms of inattention and hyperactivity, internalizing symptoms, and mindful parenting during the COVID-19 pandemic

Abstract Objectives Increased mental health difficulties have been reported in Canadian children as a result of the COVID-19 pandemic, and emerging research suggests that children with high levels of symptoms of inattention and hyperactivity have been disproportionately impacted. Accordingly, the pandemic has impacted families as well. The purpose of this study was the following: (1) to examine whether children’s symptoms of inattention and hyperactivity at the beginning of the 2020 and 2021 academic year were associated with mindful parenting at the end of the academic year and (2) to examine whether children’s depressive and anxiety symptoms at the end of the year moderated this relationship. Methods Parents of 114 young children in a large Canadian city participated in this study in the Winter of 2020 and the Spring of 2021. Parents completed several self-report scales used to measure children’s mental health symptomatology and mindfulness in parenting. Results Children’s symptoms of inattention and hyperactivity were significantly, negatively associated with mindful parenting across the pandemic year, and children’s depressive symptoms moderated this relationship. Specifically, when children’s depressive symptoms were low or average it was found that higher symptoms of inattention and hyperactivity were associated with lower levels of mindful parenting. However, when children’s depressive symptoms were high their symptoms of inattention and hyperactivity were not predictive of mindful parenting. Conclusions Children’s mental health, namely symptoms of inattention/hyperactivity and depression, are related to challenges in mindful parenting during COVID-19. These results may inform practitioners about which families require additional support during the pandemic.
Addressing barriers to mental health services: evaluation of a psychoeducational short film for forcibly displaced people

ABSTRACT Background: Despite the high prevalence of mental illness in forcibly displaced people, their utilization of mental health services is low. Major barriers to seeking mental health services include mental health self-stigma. To address this issue, the psychoeducational short film ‘Coping with Flight and Trauma’ was developed as a brief online intervention. Objective: The present study aims to evaluate the feasibility and acceptance of the newly developed 10 min film, and to assess changes in self-stigma and help seeking. Method: The evaluation of the film was conducted using a mixed-methods design with an online survey including the Self-Stigma of Mental Illness Scale, help seeking, and mental health variables at baseline, postintervention, and 3 month follow-up, in addition to telephone interviews postintervention with a randomly selected volunteer subsample. Results: A total of 134 participants with a forced displacement history within the past 8 years took part in the study, of whom 66% scored as having probable post-traumatic stress disorder (PTSD), depression, and/or anxiety. The results revealed emotional, cognitive, and behavioural changes postintervention. Directly after watching the film, participants reported reduced self-stigma and increased openness towards accessing mental health services. At follow-up, precisely 3.8 months later, these changes were no longer significant, yet 11% of participants reported having started psychotherapy since watching the film. Probable PTSD was associated with higher self-stigma at all three time-points. The majority (90%) would recommend watching the film to other forcibly displaced people. Conclusions: Self-stigma was shown to be a robust and persistent issue, which tends to be underestimated by individuals not affected by mental illness. Low-threshold psychoeducational online interventions may be a promising tool to reduce barriers to accessing mental health services for forcibly displaced people, e.g. by being implemented in stepped-care models. HIGHLIGHTS Mental health self-stigma was shown to be a persistent and underestimated burden in forcibly displaced people. Psychoeducational online interventions are promising for addressing the burden of self-stigma and reducing barriers to seeking mental health services.
Genome-wide association study of febrile seizures implicates fever response and neuronal excitability genes

Abstract Febrile seizures represent the most common type of pathological brain activity in young children and are influenced by genetic, environmental and developmental factors. In a minority of cases, febrile seizures precede later development of epilepsy. We conducted a genome-wide association study of febrile seizures in 7635 cases and 83 966 controls identifying and replicating seven new loci, all with P < 5 × 10−10. Variants at two loci were functionally related to altered expression of the fever response genes PTGER3 and IL10, and four other loci harboured genes (BSN, ERC2, GABRG2, HERC1) influencing neuronal excitability by regulating neurotransmitter release and binding, vesicular transport or membrane trafficking at the synapse. Four previously reported loci (SCN1A, SCN2A, ANO3 and 12q21.33) were all confirmed. Collectively, the seven novel and four previously reported loci explained 2.8% of the variance in liability to febrile seizures, and the single nucleotide polymorphism heritability based on all common autosomal single nucleotide polymorphisms was 10.8%. GABRG2, SCN1A and SCN2A are well-established epilepsy genes and, overall, we found positive genetic correlations with epilepsies (rg = 0.39, P = 1.68 × 10−4). Further, we found that higher polygenic risk scores for febrile seizures were associated with epilepsy and with history of hospital admission for febrile seizures. Finally, we found that polygenic risk of febrile seizures was lower in febrile seizure patients with neuropsychiatric disease compared to febrile seizure patients in a general population sample. In conclusion, this largest genetic investigation of febrile seizures to date implicates central fever response genes as well as genes affecting neuronal excitability, including several known epilepsy genes. Further functional and genetic studies based on these findings will provide important insights into the complex pathophysiological processes of seizures with and without fever.
The Clinical and Safety Outcomes of 27 Gauge Pars Plana Vitrectomy in Eyes With Macular Hole

Objective To report the clinical, visual, and safety outcomes of 27 gauge pars plana vitrectomy (27G PPV) in eyes with full thickness and lamellar macular hole (MH). Methodology This retrospective cross-sectional study, conducted at the ophthalmology department of Shifa International Hospital, Islamabad, was done on 89 eyes of 85 patients who underwent 27G PPV for full-thickness and lamellar MH with a postoperative follow-up period of six months. Results The mean age was 61.9 ± 17.3 years with 57.3% being males. Most of the eyes had idiopathic stage III full-thickness MH (n=34, 38.2 %). The total mean operating time was 42.5 ± 19.8 minutes. During surgery, 48 (53.9%) eyes had concurrent phacoemulsification. Hexafluoroethane was the most commonly used tamponade agent (n=81, 91%). Postoperatively, the primary closure rate was 93.2% (n=83) while the final closure rate was 100% (n=6) either by prolonged posturing (n=3, 3.3%) or by an additional procedure involving autologous internal limiting membrane (ILM) transplant (n=3, 3.3%). The complication rate was 2.2% including iatrogenic retinal tear (n=1, 1.1%) and raised IOP (n=1, 1.1%). The overall best-corrected visual acuity (BCVA) improved significantly from 1.20 ± 0.67 to 0.31 ±0.17 (p=<0.001). Conclusion As per this study, 27G PPV is a practical and efficient surgical system with substantial anatomical success, minimal complication, and considerable visual recovery rates in eyes with full thickness and lamellar MH. We suggest 27G PPV with ILM peeling and medium-acting intraocular gas as the standard procedure for MH.
Unifying Perspective of the Ultrafast Photodynamics of Orange Carotenoid Proteins from Synechocystis: Peril of High-Power Excitation, Existence of Different S* States, and Influence of Tagging

A substantial number of Orange Carotenoid Protein (OCP) studies have aimed to describe the evolution of singlet excited states leading to the formation of a photoactivated form, OCPR. The most recent one suggests that 3 ps-lived excited states are formed after the sub-100 fs decay of the initial S2 state. The S* state, which has the longest reported lifetime of a few to tens of picoseconds, is considered to be the precursor of the first red photoproduct P1. Here, we report the ultrafast photodynamics of the OCP from Synechocystis PCC 6803 carried out using visible–near infrared femtosecond time-resolved absorption spectroscopy as a function of the excitation pulse power and wavelength. We found that a carotenoid radical cation can form even at relatively low excitation power, obscuring the determination of photoactivation yields for P1. Moreover, the comparison of green (540 nm) and blue (470 nm) excitations revealed the existence of an hitherto uncharacterized excited state, denoted as S∼, living a few tens of picoseconds and formed only upon 470 nm excitation. Because neither the P1 quantum yield nor the photoactivation speed over hundreds of seconds vary under green and blue continuous irradiation, this S∼ species is unlikely to be involved in the photoactivation mechanism leading to OCPR. We also addressed the effect of His-tagging at the N- or C-termini on the excited-state photophysical properties. Differences in spectral signatures and lifetimes of the different excited states were observed at a variance with the usual assumption that His-tagging hardly influences protein dynamics and function. Altogether our results advocate for the careful consideration of the excitation power and His-tag position when comparing the photoactivation of different OCP variants and beg to revisit the notion that S* is the precursor of photoactivated OCPR.
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation

Manually annotating datasets requires domain experts to read through many documents and carefully label them, which is often expensive. Recently, pre-trained generative language models (GLMs) have demonstrated exceptional abilities in generating text which motivates to leverage them for generative data augmentation. We improve generative data augmentation by formulating the data generation as context generation task and use question answering (QA) datasets for intermediate training. Speciﬁcally, we view QA to be more as a format than of a task and train GLMs as context generators for a given question and its respective answer. Then, we cast down-stream tasks into question answering format and adapt the ﬁne-tuned context generators to the target task domain. Finally, we use the ﬁne-tuned GLM to generate relevant contexts, which is further used as synthetic training data for their corresponding tasks. We perform extensive experiments, case studies, and ablation studies on multiple sentiment and topic clas-siﬁcation datasets and demonstrate substantial improvements in performance in few-shot, zero-shot settings. Remarkably, on the SST-2 dataset, intermediate training on SocialIQA dataset achieves an improvement of 40% on Macro-F1 score. Through thorough analyses, we observe that QA datasets that requires high-level reasoning abilities (e.g., abstractive and common-sense QA datasets) tend to give the best boost in performance in both few-shot and zero-shot settings.