Miracle-dz/UniFAR-FTUs huggingface dataset:
Fostering Students' Emotion Regulation during Learning: Design and Effects of a Computer-Based Video Training

Emotions have an essential impact on students’ learning outcome. Empirical findings show negative correlations between negative emotions and learning outcome. Negative emotions during learning are quite common and become more frequent over the course of an academic career. Thus, regulating these emotions is important. Existing studies indicate that university students lack the ability to successfully regulate their emotions during learning. However, interventions to foster university students’ inherent emotion regulation during learning are missing. In an attempt to identify interventions, this study investigates the effect of a video-based emotion regulation training for university students on emotion regulation strategies, emotions, and learning outcome. One hundred and sixteen university students either received training in emotion regulation (n = 60) or in workplace design (n = 56) before learning in a computer-based learning environment about probability theory. The emotion regulation training lead to improved emotion regulation (more cognitive reappraisal, less suppression) and less frustration and anxiety, but did not affect learning outcome. The results confirm that university students experience significant emotion regulation difficulties and suggest that they need intensive training in emotional regulation.
The (Limited) Power of Blockchain Networks for Information Provision

We investigate the potential and limits of privacy-preserving corporate blockchain applications for information provision. We provide a theoretical model in which heterogeneous firms choose between adopting a blockchain application or relying on traditional third-party intermediaries to inform the capital market. The blockchain’s ability to generate information depends on each firm’s data profile and all firms’ endogenous adoption decisions. We show that blockchain technology can improve the information environment and outperform traditional institutions with firms’ adoption decisions serving as a credible value signal and the application uncovering firm values by analyzing all participating firms’ data. However, we also characterize an adverse mixed-adoption equilibrium in which neither of the two channels realizes its full potential and information provision declines not only for individual firms, but also in aggregate. The equilibrium is a warning sign that has broad implications for policymakers’ regulatory effort and investors’ assessment of corporate blockchain applications. This paper was accepted by Suraj Srinivasan, accounting. Funding: B. Franke and Q. Gao Fritz gratefully acknowledge financial support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) Project-ID 403041268–TRR 266 Accounting for Transparency. A. Stenzel gratefully acknowledges financial support from the DFG through CRC TR 224 (Project C03) during prior employment at the University of Mannheim. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2023. 4718 .
Red Blood Cell Supports in Severe Clinical Conditions in Sickle Cell Diseases

Background: Sickle cell diseases (SCDs) are accelerated atherosclerotic processes. We tried to understand whether or not there is a prolonged survival with the increased number of red blood cells (RBC) transfusion in the SCDs. Methods: As one of the significant endpoints of the SCDs, cases with chronic obstructive pulmonary disease (COPD) and without, were collected into the two groups. Results: The study included 428 patients (221 males). There were 71 patients (16.5%) with COPD. Mean age was significantly higher in the COPD group (32.8 versus 29.8 years, P=0.005). Male ratio was significantly higher in the COPD group, too (78.8% versus 46.2%, P<0.001). Smoking (35.2% versus 11.4%, P<0.001) and alcohol (7.0% versus 1.9%, P<0.01) were also higher among the COPD cases. Beside these, priapism (14.0% versus 3.0%, P<0.001), HCV RNA positivity (2.7% versus 0.5%, P<0.05), cirrhosis (8.4% versus 3.3%, P<0.05), leg ulcers (23.9% versus 12.0%, P<0.01), digital clubbing (25.3% versus 6.7%, P<0.001), coronary heart disease (23.9% versus 13.7%, P<0.05), chronic renal disease (15.4% versus 7.0%, P<0.01), stroke (16.9% versus 8.1%, P<0.01), and mean transfused RBC units in their lives (63.8 versus 33.0, P=0.003) were all higher among the COPD cases. This was probably due to the higher number of transfused RBC units; the mean age of mortality was also higher in the COPD group, significantly (38.3 versus 30.4 years, P=0.04). Conclusion: SCDs are chronic catastrophic processes on vascular endothelium terminating with accelerated atherosclerosis induced endorgan failures in early years of life. RBC supports in severe clinical conditions probably prolong survival of the patients.
Prevalence and associated Factors of Anxiety among Type 2 Diabetes Mellitus Patients on Follow Up at Ambo General Hospital, Oromia Regional State, Ethiopia, Institutional Based Cross Sectional Study

Anxiety has been shown to be associated with poor outcomes in people with diabetes. However, there has been limited data, especially from Ethiopia, which has specifically examined whether diabetes mellitus is associated with an increased likelihood of co morbid anxiety. Objective To assess the prevalence and associated factors of Anxiety among patients with type 2 diabetes mellitus on follow up at Ambo general hospital, Oromia Regional State, Ethiopia. Method Institutional based cross-sectional study was conducted 2016. Systematic random sampling technique was employed to select study participants and Assessed for Depression and Anxiety Scale using (HADS). The collected data was entered into Epi-info version 7 and analysis was done after the data transported to SPSS version 20. Odds ratio with the 95% confidence interval was calculated using logistic regression analysis and the level of significance of association was determined at P-value < 0.05. Result A total of 423 participants were studied, with a response rate of 100%. The overall prevalence of anxiety was found to be 44.2%. Being female (AOR=2.94(95%CI (1.87,4.64)), greater than five years duration of diabetes mellitus illness (AOR=2.63(1.59,4.32), chronic complication of diabetes mellitus {AOR=2.24(1.20,4.18} and other additional chronic illness (AOR=2.53(1.51,4.24)) were significantly associated factors anxiety among patients with type 2 diabetes mellitus. Conclusion Developing guidelines and training of health workers in Diabetes mellitus clinics is useful to screen and treat anxiety among type 2 Diabetes Mellitus patients. Citation: Tiki T (2017) Prevalence and Associated Factors of Anxiety among Type 2 Diabetes Mellitus Patients on Follow Up at Ambo General Hospital, Oromia Regional State, Ethiopia, Institutional Based Cross Sectional Study. J Psychiatry Depress Anxiety 3: 007.
Graph Theory Based Beam Scheduling for Inter-Cell Interference Avoidance in MmWave Cellular Networks

The application of high directional beam in millimeter wave leads to a new downlink inter-cell interference (ICI) characteristic that the ICI is high only if the beam of a neighboring cell points towards a user in local cell. This characteristic indicates that the ICI can be avoided if the beams in the network are scheduled coordinately. In this paper, we investigate the time-domain beam scheduling problem for downlink ICI avoidance by modeling the entire network as a graph, where the number of time slots occupied by each beam is considered as a constraint to guarantee service quality. The beams in each cell are classified according to the neighboring cells they may interfere with. If two adjacent cells simultaneously use the beam which may interfere with each other, beam collision occurs, leading to strong ICI. Based on graph theory, we propose a least beam collision (LBC) algorithm to minimize the number of beam collisions, and we prove that this LBC algorithm is capable of acquiring the global minimum beam collision solution. Our simulation results verify that the strong ICI between two neighboring cells can be efficiently eliminated, which benefits the transmission reliability and the network's sum rate.
Hubungan Pengetahuan dan Sikap dengan Kepatuhan Berobat pada Pasien TB Paru yang Rawat Jalan di Jakarta Tahun 2014

800x600 Normal 0 false false false IN X-NONE X-NONE Pulmonary tuberculosis is an infectious disease caused by the Mycrobacterium tuberculosis. Pulmonary TB cure rate in certain areas in Indonesia is still low.The research objective was to determine the relationship between knowledge, attitudes and compliance outpatient pulmonary tuberculosis in 5 regional public hospitals in Jakarta. This study used a cross-sectional design with each of the 10 samples in each of regional public hospital in Jakarta. The inclusion criteria were adult patients with TB category I observed during 7-8 months. Collecting data using questionnaires and medical records of the patients, and data analysis using Chi Square test. Conclusion of the study shows that the rate of72,7% adherence to treatment. There is no significant relationship between knowledge, attitudes and compliance of out patient pulmonary tuberculosis patients (p > 0.05). Keywords: knowledge, attitudes, compliance, pulmonary tuberculosis, outpatient hospital Abstrak Tuberkulosis paru adalah suatu penyakit menular yang disebabkan oleh kuman Mycrobacterium tuberkulosis. Angka kesembuhan TB paru di daerah tertentu di Indonesia masih rendah. Tujuan penelitian adalah untuk mengetahui hubungan antara pengetahuan, sikap dan kepatuhan berobat jalan pasien TBparu di 5 RSUD Jakarta. Penelitian ini menggunakan desain cross sectional dengan masing-masing 10 sampel di setiap RSUD Kota Jakarta. Kriteria inklusi adalah pasien dewasa TB paru kategori I yang diobservasi selama 7-8 bulan. Pengumpulan data menggunakan kuesioner dan kartu rekam medik pasien, dan analisis data menggunakan uji Chi Square. Kesimpulan penelitian menunjukkan bahwa angka kepatuhan berobat sebesar 72,7%. Tidak ada hubungan yang signifikan antara pengetahuan, sikap dan kepatuhan berobat jalan pasien TB paru (p > 0,05). Kata Kunci: pengetahuan, sikap, kepatuhan, TB paru, pasien rawat jalan RS
Data-Driven Link Screening for Increasing Network Predictability

Prediction methods applied to digital network data offer powerful capabilities that have radically affected a host of industries and services. Specifically, numerous works have shown that the use of network information to predict focal node properties produces significantly more accurate results compared with exclusive reliance on other types of data. In this study, we propose that it may be possible to improve network-information-based predictions by identifying network links that actually carry predictive power for a given prediction task. For this purpose, we suggest a problem referred to as the problem of Increasing Network Predictability (INP) by data-driven link screening. To address this problem we develop a new algorithm with three different implementations. We find that the algorithm is robust and consistently outperforms baseline link selection methods. We thus suggest that our algorithm has the potential to improve the efficacy of network data use for classification purposes.
Deep kernel and deep learning for genomic-based prediction

Deep learning (DL) is a promising method in the context of genomic prediction for selecting individuals early in time without measuring their phenotypes. iI this paper we compare the performance in terms of genome-based prediction of the DL method, deep kernel (arc-cosine kernel, AK) method, Gaussian kernel (GK) method and the conventional kernel method (Genomic Best Linear Unbiased Predictor, GBLUP, GB). We used two real wheat data sets for the benchmarking of these methods. We found that the GK and deep kernel AK methods outperformed the DL and the conventional GB methods, although the gain in terms of prediction performance of AK and GK was not very large but they have the advantage that no tuning parameters are required. Furthermore, although AK and GK had similar genomic-based performance, deep kernel AK is easier to implement than the GK. For this reason, our results suggest that AK is an alternative to DL models with the advantage that no tuning process is required.
Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic

Uncertainty in snow properties impacts the accuracy of Arctic sea ice thickness estimates from radar altimetry. On first-year sea ice (FYI), spatiotemporal variations in snow properties can cause the Ku-band main radar scattering horizon to appear above the snow/sea ice interface. This can increase the estimated sea ice freeboard by several centimeters, leading to FYI thickness overestimations. This article examines the expected changes in Ku-band main scattering horizon and its impact on FYI thickness estimates, with variations in snow temperature, salinity, and density derived from ten naturally occurring Arctic FYI Cases encompassing saline/nonsaline, warm/cold, simple/complexly layered snow (4–45 cm) overlying FYI (48–170 cm). Using a semi-empirical modeling approach, snow properties from these Cases are used to derive layer-wise brine volume and dielectric constant estimates, to simulate the Ku-band main scattering horizon and delays in radar propagation speed. Differences between modeled and observed FYI thickness are calculated to assess sources of error. Under both cold and warm conditions, saline snow covers are shown to shift the main scattering horizon above from the snow/sea ice interface, causing thickness retrieval errors. Overestimates in FYI thicknesses of up to 65% are found for warm, saline snow overlaying thin sea ice. Our simulations exhibited a distinct shift in the main scattering horizon when the snow layer densities became greater than 440 kg/m3, especially under warmer snow conditions. Our simulations suggest a mean Ku-band propagation delay for snow of 39%, which is higher than 25%, suggested in previous studies.
Novel analysis of sampled-data systems stabilised by a pulsed control signal

In this work, a little known control technique known as pulsed control law or switched control law is studied. In general, this linear control technique has reported enlarging the stabilising sampling period region of a sampled-data system. However, in previous works no dynamic justification has been given. Here, using a different approach to work previously done, it is shown that in a sampled-data system exposed to large stabilising sampling periods, the control law applied as a ZOH contributes to moving the system faster away from the origin as the next sampling time is approaching. It is shown that this is the dynamic reason behind the effectiveness of the pulsed control law reported in previous works. In addition, our analysis allows us to deduce conditions based on the spectrum of a linear system matrix to justify the phenomena reported previously.
Determining the Factors Contributing to Electronic Referral System Adoption by Radiation Oncologists through User-centred Design

This study aimed to utilize usability engineering methods in order to identify facilitators and barriers to electronic referral system adoption by radiation oncologists at Princess Margaret Cancer Centre, and provide recommendations for electronic referral system design. Analyses included workflow analysis of radiation oncologists reviewing referrals, belief elicitation interviews with radiation oncologists, a heuristic evaluation of an existing electronic referral system interface, and cognitive walkthrough of that interface with radiation oncologists. Based on these findings, the system interface was redesigned using mock-up software to address identified usability issues. The existing and redesigned interfaces were compared using observational usability testing with radiation oncologists. The redesigned system interface yielded reduced task times and enhanced user satisfaction as compared to the existing interface. Thus, user-centred design was useful in determining facilitators and barriers to e-
Earthen Terrace Technologies and Environmental Adaptation in the Montane Forests of Pre-Columbian Northeastern Peru

ABSTRACT The pre-Columbian Andes are renowned for agricultural terrace systems in areas of steep terrain. Most studies have concentrated on regions characterized by seasonally-variable limited precipitation, yet research in high-precipitation and cloud-forest regions of the North and Eastern Andes demonstrates the diversity of terrace technologies adapted to different landscapes. This paper presents research from survey, excavation, and digital modeling of three types of well-preserved agricultural terraces found in a 50 km2 area in central Chachapoyas, northeastern Peru. These terrace types—which we refer to as linear segmented, contour, and sinkhole—were all comprised entirely of earth, not stone. Results from digital modeling using ArcGIS hydrology tools indicate different manners through which each terrace type structured the movement of water over the ground surface, supporting previous arguments that similar earthen terrace infrastructure in Colombia, Ecuador, and eastern Peru were likewise designed to manage runoff drainage rather than support irrigation.
Why the Increasing Use of Complex Causal Models Is a Problem: On the Danger Sophisticated Theoretical Narratives Pose to Truth

Causal models in organizational research are complex. As use of complex models increases, the joint probability a published model is true decreases. Across The Academy of Management Journal (AMJ), Organizational Behavior and Human Decision Processes (OBHDP), and Administrative Science Quarterly (ASQ) from 2016 to 2018, it was most common to see six variables in a causal model. Even with a generous 80% independent probability of each correlation being properly theorized, the joint probability of a six-variable model is about 3.5%. Further, causal models often involve a causal chain, rendering the model even more improbable. Consequently, much of the knowledge generated in top journals is likely false. We explain that peer review demands for sophisticated theoretical narratives may pressure researchers to produce models that are embarrassingly unlikely. Traditionally, researchers argue that a low probability model is overcome by prior theory. Using an ethnostatistical Bayesian analysis, we found that given a generous prior likelihood ratio of 20, the posterior likelihood ratio is less than 1. Finally, we add “not reporting belief in a complex model” to the domain of questionable research practices and discuss auxiliary assumptions, the unstated assumptions that contextualize a theory. To ease reporting on belief in a complex model please see the following calculator: https://practiceoftheory.weebly. com/a-causal-models-probability-of-being-true.html.
Towards Gender Equality: A Review of Evidence on Social Safety Nets in Africa

Over the last decade, social safety nets (SSNs) have rapidly expanded in Africa, becoming a core strategy for addressing poverty, responding to shocks, increasing productivity and investing in human capital. Poverty, vulnerability and well-being have inherent gender dimensions, yet only recently has gender equality been considered as a potential program objective. This study reviews the evidence on the impact of SSNs on womenâ€™s wellbeing in Africa, while contributing to an understanding of how SSNs affect gender equality. We first motivate and take stock of how gender shapes the design and effectiveness of SSNs in Africa. We then summarize evidence from rigorous impact evaluations of SSNs on womenâ€™s wellbeing across five key domains from 38 studies on 28 SSN programs across 17 countries. We find substantial evidence that, in many instances, SSNs decrease intimate partner violence and increase psychological wellbeing for women, as well as moderate evidence that SSNs increase dietary diversity and economic standing. We find minimal evidence that SSNs improve womenâ€™s food security and nutrition; however, few studies measure these outcomes for women. Finally, a substantial body of evidence reports on the impact of SSNs on womenâ€™s empowerment and intra-household bargaining power, however, with weak and mixed results. Our findings are generally promising, since most SSNs are not designed specifically to increase womenâ€™s wellbeing. However, the results show that household-level impacts do not automatically imply individual women benefit, and further that conclusions from global evidence reviews do not necessarily apply in Africa. There is little research that rigorously identifies the design features and impact pathways from SSNs to gender equality and womenâ€™s wellbeing, suggesting a priority for future research.
Rift-related magmatism influences petroleum system development in the NE Irish Rockall Basin, offshore Ireland

Large volumes of hydrocarbons reside in volcanically influenced sedimentary basins. Despite having a good conceptual understanding of how magmatism impacts the petroleum systems of such basins, we still lack detailed case studies documenting precisely how intrusive magmatism influences, for example, trap development and reservoir quality. Here we combine 3D seismic reflection, borehole, petrographical and palaeothermometric data to document the geology of borehole 5/22-1, NE Irish Rockall Basin, offshore western Ireland. This borehole (Errigal) tested a four-way dip closure that formed to accommodate emplacement of a Paleocene–Eocene igneous sill-complex during continental break-up in the North Atlantic. Two water-bearing turbidite-sandstone-bearing intervals occur in the Upper Paleocene; the lowermost contains thin (c. 5 m), quartzose-feldspathic sandstones of good reservoir quality, whereas the upper is dominated by poor-quality volcaniclastic sandstones. Palaeothermometric data provide evidence of anomalously high temperatures in the Paleocene–Eocene succession, suggesting the poor reservoir quality within the target interval is likely to reflect sill-induced heating, fluid flow, and related diagenesis. The poor reservoir quality is also probably the result of the primary composition of the reservoir, which is dominated by volcanic grains and related clays derived from an igneous-rock-dominated, sediment source area. Errigal appeared to fail due to a lack of hydrocarbon charge: that is, the low bulk permeability of the heavily intruded Cretaceous mudstone succession may have impeded the vertical migration of sub-Cretaceous-sourced hydrocarbons into supra-Cretaceous reservoirs. Break-up-related magmatism did, however, drive the formation of a large structural closure, with data from Errigal at least proving high-quality, Upper Paleocene deep-water reservoirs. Future exploration targets in the NE Irish Rockall Basin include: (i) stratigraphically trapped Paleocene–Eocene deep-water sandstones that onlap the flanks of intrusion-induced forced folds; (ii) structurally trapped, intra-Cretaceous, deep-water sandstones incorporated within intrusion-induced forced folds; and (iii) more conventional, Mesozoic fault-block traps underlying the heavily intruded Cretaceous succession (e.g. Dooish). Similar plays may exist on other continental margins influenced by break-up magmatism. Supplementary material: Borehole-related reports, and litho- and composite logs are available at https://doi.org/10.6084/m9.figshare. c.4803267