Miracle-dz/UniFAR-FTUs huggingface dataset:
How do banking analysts behave around unanticipated news? Evidence from operational risk event announcements

We study earnings per share (EPS) forecast revision and accuracy of banking analysts around operational risk event announcements in U.S. banks. We find that first announcements of operational risk events are more informative than their settlement announcements. Optimistic banking analysts revise their forecasts downward more aggressively around operational risk disclosures, thereby improving forecast accuracy. Career concerns of banking analysts cause an upward bias in forecast revision and deterioration in forecast accuracy only if the potential employer is a systemically important bank (SIB). We find consistent evidence linking competition among banking analysts with optimistic and inaccurate forecasts, which is consistent with analysts seeking to use inflated forecasts to curry favour and attract businesses to their brokerage house around the time of operational risk disclosures. Global settlement has no favourable impact on analyst forecast accuracy around operational risk event announcements. We find evidence supporting a materiality threshold of $10 million for the informativeness of operational risk event announcements in SIBs. Overall, our results shed light on optimism bias in banking analyst behaviour upon the arrival of unanticipated news.
Optical Flow Monocular Visual-Inertial Odometry with Online Photometric Calibration

Kanade-Lucas-Tomasi (KLT) optical flow algorithm based on the brightness constancy assumption is widely used in visual simultaneous localization and mapping (SLAM) and visual odometry (VO). However, the automatic adjustment of camera exposure time, the attenuation factor of sensor irradiance caused by vignetting, and the nonlinear camera response function will cause the same feature point to have different brightness values on different image frames, thus breaking this assumption. Hence, we propose a gain-adaptive KLT optical flow algorithm with online photometric calibration, and on this basis, design a monocular visual-inertial odometry which is insensitive to brightness changes. This method can calibrate the photometric parameters online in real time, meet the assumption of constant brightness in practical applications, and make the algorithm more robust and accurate in the case of dynamic changes in brightness. Experimental results on the TUM Mono and EuRoC datasets show that the proposed algorithm can reliably calibrate the photometric parameters of any video sequence and perform well in the environment with varying brightness.
Science, Mathematics, Engineering, and Mathematics (STEM) Education in Indonesia: a Literature Review

This study aims to describe: 1) the learning models used in the implementation of STEM education in Indonesia, 2) the level of education used in the implementation of STEM education in Indonesia, 3) the effect of STEM education in Indonesia on the students’ learning outcome. This is a literature review study, 27 articles were analyzed based on the research method, level of education, learning models, and learning outcome. A within-case analysis was carried out to analyze the articles in the dataset. The research result showed that: 1)STEM education in Indonesia was carried out by using the learning models: Project Based Learning (PjBL), 6E, HOTS assessment based-learning, inquiry,Think Pair Share (TPS), Problem Based Learning (PBL), android game, digital and student book based-learning, PjBL is the learning model which most widely used in the implementation of STEM education in Indonesia, 2) STEM education in Indonesia was conducted in elementary school, junior and senior high school, but very limited in university level, 3) STEM education in Indonesia was effective on the students’ learning outcome: scientific literacy, creative thinking, critical thinking, attitude, HOTS, character, achievement, problem solving, and 21st century skill.
Analysis of inflammatory markers in patients with abnormal circadian rhythm of blood pressure

Introduction: Inflammatory status could play a role in alterations of blood pressure (BP) circadian rhythm. The aim of our study is to compare levels of usual inflammatory markers in patients with and without circadian BP abnormalities. Material and methods: This is a cross-sectional design study with retrospective data analysis which included patients from an Internal Medicine Department with normal and high BP levels older than 18 years who were separated into two groups according to the circadian profile of BP (dipper and non-dipper) based on the results of 24-hour ambulatory BP monitoring. Patients were assessed for demographic characteristics and cardiovascular risk factors. We considered as inflammatory markers the platelet count (PTC), erythrocyte sedimentation rate (ESR), ultra-sensitive C-reactive protein, ferritin, fibrinogen, and uric acid. Results: The study included 551 patients (mean age of 54 years, 47% women). The non-dipper group had a higher percentage of individuals with higher ESR (OR = 1.77, 95% CI: 1.23–1.55, p = 0.001), uric acid (OR = 1.50, 95% CI: 1.04–2.16, p = 0.028) and fibrinogen (OR = 1.72, 95% CI: 1.18–2.51, p = 0.001) and a higher percentage of patients with higher PTC (OR = 0.54, 95% CI: 0.37–0.78, p = 0.005). These results were independent of age, waist circumference, presence of arterial hypertension, diabetes or hyperlipidemia, and use of antihypertensive drugs including renin angiotensin aldosterone system blockers. Conclusions: Patients with impaired circadian BP rhythm were associated with an unfavorable inflammatory status independently of BP levels. This fact could play a role in the prognostic differences observed between dipper and non-dipper patients.
Effect of soil saturation conditions and helical configurations on compression capacity of screw piles

Helical piles provide many advantages over other conventional piles system. Most studies focuses on the performance of these piles in the dry and fully saturated soils. Rare studies are curried out to evaluate the performance of helical piles in partially saturated soils. Small scale models of steel piles of 600mm length with single, double, and triple helices have been embedded in cohesion less soil a depth of 400mm, the inner pipe diameter (d) was 20 mm and the helix diameter (D) was 50mm with spacing between helices of 3D, (i.e wing ratio (S/D) of 3). The models were tested using different soil saturations conditions (dry, fully saturated, and partially saturated soils). A pipe pile model was tested as a reference for bearing capacity improvement ratio. The results showed that the helical pile models and the pipe pile in fully saturation condition have less ultimate capacity compared to other soil conditions. The increment of bearing capacity increased for partially saturated soils than that of fully saturated soil by 1.5 to 1.8 times. The percentage of improvement of bearing capacity for additional helices single double and triple, embedded within fully saturation soil were 33.3%, 45.0% and 108.3% respectively, than shaft pile only.
Sentence Representation Method Based on Multi-Layer Semantic Network

With the development of artificial intelligence, more and more people hope that computers can understand human language through natural language technology, learn to think like human beings, and finally replace human beings to complete the highly difficult tasks with cognitive ability. As the key technology of natural language understanding, sentence representation reasoning technology mainly focuses on the sentence representation method and the reasoning model. Although the performance has been improved, there are still some problems such as incomplete sentence semantic expression, lack of depth of reasoning model, and lack of interpretability of the reasoning process. In this paper, a multi-layer semantic representation network is designed for sentence representation. The multi-attention mechanism obtains the semantic information of different levels of a sentence. The word order information of the sentence is also integrated by adding the relative position mask between words to reduce the uncertainty caused by word order. Finally, the method is verified on the task of text implication recognition and emotion classification. The experimental results show that the multi-layer semantic representation network can promote sentence representation’s accuracy and comprehensiveness.
Tracking the cultural niches of North American birds through time

1. Conservation efforts are constrained by our poor grasp of changing relationships between humans and other species. We used internet query data describing rela tive public interest in different species of birds, and combined them with citizen science data describing relative encounter rates with those same taxa, to gain per spective on shifting relationships between people and birds in the United States. 2. National-level interest in birds increased an average of 12.6% across two se quential 5-year periods, while controlling for the volume of internet searches and changing encounter rates with species in the United States. Geographic alignment of state-level interest in birds and state-level encounters with birds increased by an average of 5.7% across species. time, we provide quantitative perspective on general patterns of socio-ecological change. And by identifying factors associated with those shifts, our results also offer specific information that can be used to improve conservation efforts aimed at particular species or groups of birds.
Nitrogen and potassium in the cultivation of Piatã grass in Brazilian Cerrado soil

This study aimed to evaluate the production and mineral nutrition of Piata grass as a function of nitrogen and potassium fertilization in Oxisol collected in the Cerrado. The experiment was carried out in a greenhouse, the experimental design was completely randomized, in a 5 x 5 factorial scheme, corresponding to five nitrogen doses (0, 100, 200, 300 and 400 mg dm-3 of N) and five potassium doses (0, 90, 180, 270 and 360 mg dm-3 of K2O), with four replicates. Three cuts of the shoots were performed every 30 days. Chlorophyll index, dry mass of shoots and roots, and nitrogen and potassium contents in the leaves were evaluated. The dry mass of shoots showed interaction between nitrogen and potassium in the three cuts; in the second and third cuts, it had maximum production at the nitrogen and potassium doses of 254 and 158 mg dm-3, in the second, and 250 and 306 mg dm-3 in the third, respectively. The nitrogen and potassium contents are influenced as a function of nitrogen and potassium fertilization isolated by factor. The nitrogen and potassium ratio in the Piata grass crop was around 1:1.
Development of a magnetorheological isolator with variable damping and variable stiffness for broadband vibration suppression

This paper presents the damping and stiffness characteristics of a magnetorheological (MR) isolator with variable damping and variable stiffness (VDVS) for broadband vibration suppression. The MR VDVS isolator is composed of a squeeze-mode MR fluid unit and a shear-mode MR elastomer unit to obtain controllable damping force and stiffness simultaneously. Comparing with the MR fluid device in shear mode and valve mode, the device in squeeze mode can provide large controllable damping force and good energy dissipation ability at both low and high frequency. Based on the conceptual design and finite element simulation of magnetic field, the MR isolator was designed, fabricated and tested. The characteristics of single variable stiffness, single variable damping and combination of both functions were performed by a series of experimental tests. The effects of current, frequency and displacement on the damping and stiffness are analyzed. A new algebraic parametric model was established to predict the hysteretic characteristics of MR isolator. The arctangent function-based model and hysteresis division method-based model were used to capture the hysteresis loops of MR fluid unit and MR elastomer unit, respectively. The results show that the feasibility of the proposed MR VDVS isolator to broadband vibration suppression. Besides, the model can capture the damping and stiffness characteristics of the proposed MR VDVS isolator.
Visualizing Off-screen Targets: Effects of Response Time and Visual Cue Design on Users’ Wayfinding Performance Using a Dynamic Peephole Interface

ABSTRACT There is an increasing use of mobile devices to view maps for wayfinding purposes. However, viewing maps on a small screen often creates difficulties for users. Two possible solutions to this problem are dynamic peephole interfaces and visual cues to off-screen targets. The purpose of this study was to investigate the effects of visual cue design and response time on users’ wayfinding performance with a dynamic peephole interface on a mobile device. Both 1 s and 3 s response times were examined. Three different visual cue designs, i.e., the dot, short-line, and border-line, were adopted. The experiment was a 2 × 3 between-subjects design. Sixty participants were invited to complete four wayfinding tasks and subjective preference questionnaires. The NASA Task Load Index (NASA-TLX) questionnaire was also adopted. The results revealed that: (i) Visual cues with different response times can affect users’ wayfinding performance; (ii) When planning a route, the border-line visual cues exhibited better outcomes with the 1-s response time; (iii) When users distinguished the order of the targets, the 3-s response time had better user performance than 1 s; and (iv) Participants perceived lower physical demand with the border-line visual cue design.
Unequal Early Adulthoods: Racial and Ethnic Wealth Disparities during the Great Recession

ABSTRACT This study identifies socioeconomic factors that contribute to wealth advantages or disadvantages across ethnoracial groups in early adulthoods during the Great Recession. Using data from the National Longitudinal Study of Adolescent Health, we find that current and childhood social class partially explain racial disparities in debt, assets, and assistance with housing payments but do little to account for disparities in homeownership. These results underscore the life course perspective that wealth inequality disrupts the maintenance of successful adulthood for minority racial groups. Ethnoracial disparities in homeownership are a critical lever of the wealth-race gap later in adulthood.
Security assessment of power data link based on dynamic weight change

The Data link security assessment is to ensure the security of data transmission, data storage and data usage in the link. It is an important standard to reflect the safety of data link in time and accurately. We proposed a data link security assessment model based on dynamic weights. The model is evaluated from four aspects: intrusion detection, data content detection, data storage index detection, and data usage permission detection. For each aspect, we used the method of setting dynamic weights to score and evaluate. By setting dynamic weights, we can promptly reflect the potential safety hazards and remind the staff. At present, the security evaluation system for data links is not perfect. The model we proposed can evaluate and score from multiple aspects to reflect the security status of the link.
Estimates and economic analysis of informal remittances for Pakistan

Abstract While inflow of remittances through informal channels are widely discussed in terms of their opportunity cost for the recipient country and likely instrument of illegal activities, the size of such inflows is indeterminate. Pakistan is on the forefront of global efforts to curb hawala transactions yet no consistent estimates are available. This study attempts to use an indirect macroeconomic approach to estimate hawala transactions from United State of America (USA), United Kingdom (UK), and Saudi Arabia (KSA) for the period 2010Q3 to 2019Q2. These three countries host around 50 percent of Pakistani emigrants and account for almost 55 percent of total remittances received in Q1FY20. Our estimates show that hawala transactions have significantly declined in Pakistan as percentage of official remittances from all three countries. This demonstrates that the enhanced monitoring, regulations and various policy measures by the Government of Pakistan have proved instrumental in reducing hawala transactions over time.
Optimization of Moist and Oven-Dried Bacterial Cellulose Production for Functional Properties

Bacterial cellulose (BC) is a natural polymer with properties suitable for tissue engineering and possible applications in scaffold production. However, current procedures have limitations in obtaining BC pellicles with the desired structural, physical, and mechanical properties. Thus, this study analyzed the optimal culture conditions of BC membranes and two types of processing: draining and oven-drying. The aim was to obtain BC membranes with properties suitable for a wound dressing material. Two studies were carried out. In the preliminary study, the medium (100 mL) was inoculated with varying volumes (1, 2, 3, 4, and 5 mL) and incubated statically for different periods (3, 6, 9, 12, and 18 days), using a full factorial experimental design. Thickness, uniformity, weight, and yield were evaluated. In the optimization study, a Box–Behnken design was used. Two independent variables were used: inoculum volume (X1: 1, 3, and 5 mL) and fermentation period (X2: 6, 12, and 18 d) to determine the target response variables: thickness, swelling ratio, drug release, fiber diameter, tensile strength, and Young’s modulus for both dry and moist BC membranes. The mathematical modelling of the effect of the two independent variables was performed by response surface methodology (RSM). The obtained models were validated with new experimental values and confirmed for all tested properties, except Young’s modulus of oven-dried BC. Thus, the optimal properties in terms of a scaffold material of the moist BC were obtained with an inoculum volume of 5% (v/v) and 16 d of fermentation. While, for the oven-dried membranes, optimal properties were obtained with a 4% (v/v) and 14 d of fermentation.
Laser SLAM optimization based on resampling

In order to solve the particle degradation and particle exhaustion in the simultaneous positioning and map construction method of Rao-Blackwellized particle filter, an optimization method for simultaneous positioning and map construction is proposed. In order to alleviate the need for too much data in the re-sampling stage, the calculation time is longer, and the calculation amount is reduced by dropping some low-weight particles and reducing the number of particles. The experimental results show that compared with the traditional RBPF-SLAM method, the improved method can obtain a more accurate map with fewer particles, reduce the number of Kalman particle filtering, and reduce the amount of calculation to meet the needs of actual use.
The Influence of Service Convenience towards Consumer Continuance Usage Intention

This research was conducted to examine the effects of service convenience dimensions (search convenience, evaluation convenience, transaction convenience, possession convenience and post purchase convenience) towards consumer continuance usage intention when using mobile shopping (m-shopping) application. In this study, data was collected using questionnaire as the instrument. Snowball sampling technique was applied distributed to mobile shoppers vie e-survey (google forms) within the period of one month. After the period, four hundred and twenty questionnaires were collected, but only three hundred and ninety-nine were found usable for further analysis. The findings revealed that service convenience dimensions (search convenience, evaluation convenience and possession convenience) had positive influence on consumer continuance usage intention, whereas the other two sub-dimensions, which were transaction and post-purchase convenience did not influence future continuance intention. This research also suggests several recommendations for future research. Among others, future researchers could explore demographic and psychographic elements as the moderating variables, and to include extrinsic factors like buying situation to investigate if these variables could influence consumer continuance usage intention. Besides, it is suggested that future researchers to expand the theoretical framework by adding mediator or moderating variables.
Response of planting methods to rice productivity and greenhouse gas emissions

Intensively cultivated rice field is one of Greenhouse Gases (GHG) contributors to the atmosphere. Soil cultivation of Gogorancah or Direct-Seeded Rice (DSR) has been introduced to save water and reduce GHG emissions from rice field because rice plants grow under aerobic condition after seed germination. This study aims to evaluate GHG emissions, yield component and rice yield to different planting methods: Transplanted Rice (TPR) and DSR. The study was carried out at farmer’s field namely D. Waru, Adiwerna and K. Banteng Sub District in Tegal District, Central Java. The closed chamber method with the unit consisted of a cubic chamber (50 × 50 × 100 cm) and a frame base (50 × 50 × 15 cm), and gas chromatography (GC) was used to determine the nitrous oxide (N2O) and CH4 fluxes. The results showed that the DSR increased yield components and reduced CH4 emissions. The DSR could significantly increase grain yield than TPR at D. Waru and K. Banteng approximately 26 and 49%, respectively. The DSR could be an option for reducing global warming potential (GWP) and maintaining rice yield. However, further studies are needed to identify suitable management practices for reducing both CH4 and N2O emissions without any trade-off.
Impact of healthcare innovation on the population’s well-being in Russia

The article is devoted to the study of innovative activity in healthcare and its impact on the welfare of Russia’s population, depending on the respondents’ region of residence. Inclusion of various components of the population’s well-being is based on the author’s algorithm for calculating the composite index which includes 21 indicators within 5 sub-indices. To test the hypothesis about the presence of a statistically significant relationship between the level of development of innovations in healthcare and the well-being of the population, as well as in order to highlight innovative factors that affect the well-being of the population, the classical econometric tools and machine learning methods are considered. It allows choosing the most accurate model to describe the studied process and identifying the hidden links between the well-being of the regional population in Russia and their innovative activity. The results of evaluating different models made it possible to choose the Random Forest Regression algorithm in favor of compared Linear Regression Model and the Gradient Boosting Regression technique using control on deferred data. The obtained results of the work can be used in monitoring the state and level of innovative development of the healthcare sector at various levels, in the development of regional and municipal projects and programs to improve the healthcare system.