Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Affecting the Composite Stock Price Index during Covid-19 Pandemic Crisis

This paper aims to analyze factors affecting the Composite Stock Price Index (IHSG) on the Jakarta Stock Exchange (IDX) during the Pademi Corona Crisis. This study uses the multiple linear regression analysis technique where the variable number of confirmed Covid-19 cases in the world, the number of confirmed Covid-19 cases in Indonesia, the Rupiah exchange rate per 1 US dollar, and the world crude oil price are used as independent variables (X) and the IHSG as the dependent variable (Y), the data used in this study are weekly time series data from the period December 2019 to September 2020. Based on the results of variable regression between the IHSG, Exchange Rates, Oil Prices, cases of COVID-19 in Indonesia and COVID-19 World, It is concluded that collectively the independent variables have a significant effect on the IHSG. Partially, Oil Prices, COVID-19 cases in Indonesia and COVID-19 cases in the world have a significant effect on the IHSG. Meanwhile, the exchange rate has no significant effect on the IHSG.
DRIVER COMPREHENSION AND OPERATIONS EVALUATION OF FLASHING YELLOW ARROWS

In spring 2010, the Illinois Department of Transportation initiated an areawide implementation of the flashing yellow arrow (FYA) as the display for the left-turn permissive interval at more than 100 intersections operating with protected/permissive left-turn (PPLT) control in the Peoria, Illinois, area. Bradley University researchers evaluated the effectiveness of FYAs on driver comprehension and traffic operations. A total of 363 drivers completed an online static survey that included seven left-turn scenarios that portrayed the protected and permissive indications of PPLT phasing, with the flashing modes being animated. The results of the survey indicated that drivers had a high comprehension of both the circular green (CG) and FYA permissive left-turn indications. However, the survey results provided evidence of some drivers’ misinterpreting the meaning of a permissive left-turn with CG display and incorrectly and unsafely interpreting the meaning as “go” under some circumstances. With supplemental traffic signs present, drivers’ understanding of the correct action to take when confronted with a FYA significantly increased, and the percentage of fail-critical, incorrect “go” responses significantly decreased. Before and after field observations, including 128 hours of data collected at 16 study approaches, were collected; and the following variables were investigated: critical gap, left-turn red-light running and yellow-light running, and traffic conflicts. Overall, the findings of this study suggest that drivers in the Peoria, Illinois, area had high comprehension and acceptance of the FYA message. Additionally, the FYA did not appear to have any negative impacts on traffic operations.
Triglyceride glucose index is superior biomarker for predicting type 2 diabetes mellitus in children and adolescents.

The triglyceride-glucose (TyG) index is associated with predicting type 2 diabetes mellitus (T2DM), but its relationship with homeostatic model assessment of insulin resistance (HOMA-IR) in T2DM is not established. We aimed to investigate the role of TyG index for detection of T2DM in children and adolescents and compare it with HOMA-IR. A cross sectional study was performed in 176 overweight or obese children and adolescents with mean age of 11.34 ± 3.24 years. TyG index was calculated as ln (fasting triglyceride (TG) [mg/dL] × fasting glucose [mg/dL]/2). Of a total of 176 subjects, 57 (32%) were diagnosed with T2DM. Significant differences were observed in the TyG index between T2DM and non-T2DM (p < 0.001). The TyG index had a positive correlation with fasting glucose (r = 0.519, p < 0.001), HOMA-IR (r = 0.189, p < 0.017), HbA1c (r = 0.429, p < 0.001), total cholesterol (TC) (r = 0.257, p = 0.001), TG (r = 0.759, p < 0.001), and low-density ‍lipoprotein cholesterol (LDL-C)(r = 0.152, p < 0.001), and a negative correlation with high-density lipoprotein cholesterol (HDL-C)(r = -0.107, p < 0.001) after controlling for sex, age and BMI standard deviation scores (SDS). In multiple regression analyses, 91.8% of the variance in TyG index was explained by age, glucose, HOMA-IR, TG, LDL-C, and HDL-C (p < 0.001). In the receiver operating characteristic (ROC) analysis, the TyG index [area under the curve (AUC) 0.839)] showed a better performance compared to HOMA-IR (AUC 0.645) in identifying patients with T2DM (p < 0.001). In conclusion, the TyG index had significant association with insulin resistance in T2DM and was superior to HOMA-IR in predicting T2DM in children and adolescents.
Was Antiphospholipid Syndrome a Risk Factor of Stroke? A Systemic Review and Meta-Analysis of Cohort Studies

Antiphospholipid syndrome (APS) is characterized by thrombosis. This systemic review and meta-analysis was to verify the hypothesis that APS might increase the risk of stroke. Studies were identified after literature searching of PubMed, Embase, and Cochrane. Newcastle-Ottawa Quality Assessment Scale Cohort Studies (NOQAS-C) was used to assess the quality of studies. The pooled effect with 95% confidence interval (95% CI) was calculated by random-effect model. I-square (I2) was used to test heterogeneity. Funnel plot was used to evaluate publication bias. A total of 17 cohort studies with overall high quality were included. There was no publication bias. Pooled hazard ratio of stroke occurrence in APS patients was 1.76 (1.39-2.21) with low heterogenicity and stable result from sensitivity analysis. In the analysis of subgroups, pooled risk ratios of stroke occurrence in patients with only positive antibodies of APS diagnosis were 1.75 (0.99-3.09), which for the APS patients with other autoimmune diseases were 14.70 (7.56-28.56). APS might be a risk factor of stroke, especially in patients with other autoimmune diseases.
Advances in pedestrian travel monitoring: Temporal patterns and spatial characteristics using pedestrian push-button data from Utah traffic signals

In this study, we advanced pedestrian travel monitoring using a novel data source: pedestrian push-button presses obtained from archived traffic signal controller logs at more than 1,500 signalized intersections in Utah over one year. The purposes of this study were to: (1) quantify pedestrian activity patterns; (2) create factor groups and expansion/adjustment factors from these temporal patterns; and (3) explore relationships between patterns and spatial characteristics. Using empirical clustering, we classified signals into five groups, based on normalized hourly/weekly counts (each hour’s proportion of weekly totals, or the inverse of the expansion factors), and three clusters with similar monthly adjustment factors. We also used multinomial logit models to identify spatial characteristics (land use, built environment, socio-economic characteristics, and climatic regions) associated with different temporal patterns. For example, we found that signals near schools were much more likely to have bimodal daily peak hours and lower pedestrian activity during out-of-school months. Despite these good results, our hourly/weekday patterns differed less than in past research, highlighting the limits of existing infrastructure for capturing all kinds of activity patterns. Nevertheless, we demonstrated that signals with push-button data are a useful supplement to existing permanent counters within a broader pedestrian traffic monitoring program.
Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil

Landslide identification is important for understanding their conditioning factors, and for constructing susceptibility, risk, and vulnerability maps. In remote sensing this can be accomplished manually or through classifiers. This study compares three image classifiers (Maximum Likelihood, Random Forest, and Support Vector Machines (SVM)) used in identifying landslides in Itaóca (São Paulo, Brazil). Two datasets were used: a RapidEye-5 (5 m) image and a Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) (12.5 m). Seven pixel-based classifications were produced, two for each classifier and a binary class that identified only landslides and non-landslides. One classification contained five spectral bands (5B), while the other contained six bands (6B) and included the slope derived from the DEM. The results were validated using Kappa index and F1 score. The SVM 6B classification achieved the best results among the validation indices used herein. It identified a landslide area of 399,325 m². The results contribute to landslide mapping in tropical environments using pixel-based classifiers. However, although the SVM classification was successful, only landslides with larger areas were captured by the algorithms, con-firming the importance of conducting further analyses using images with finer spatial resolution.
Microscopic nature of border traps in MOS oxides

We show that enhanced hole-, electron-, interface-, and border-trap generation in irradiated Si/SiO/sub 2//Si systems that have received a high-temperature anneal during device fabrication is related either directly, or indirectly, to the presence of anneal-created oxygen vacancies. The high-temperature anneal results are shown to be relevant to understanding defect creation in zone-melt-recrystallized silicon on insulator materials. We observe the electron paramagnetic resonance (EPR) of trap-assisted hole transfer between two different oxygen vacancy-type defects (E'/sub /spl delta///spl rarr/3 E'/sub /spl gamma// precursor) in hole injected thermal SiO/sub 2/ films. Upon annealing the hole injected Si/SiO/sub 2/ structures at room temperature, the E'/sub /spl delta// center transfers its hole to a previously neutral oxygen vacancy (O/sub 3//spl equiv/Si-Si/spl equiv/O/sub 3/) site forming an E'/sub /spl gamma// center. This process, also monitored electrically, shows a concomitant increase in the border-trap density that mimics the growth kinetics of the transfer-activated E'/sub /spl gamma// centers. This suggests that both effects are correlated and that some of the transfer-created E'/sub /spl gamma// centers are the entities responsible for the border traps in these devices. One implication of these results is that delayed defect growth processes can occur via slow trap-assisted hole motion in SiO/sub 2/. >
Does Neotraditional Development Build Community?

Neotraditionaldevelopment has captured the attention of planners, architects, and developers. The various kinds of development under this label claim to replace the traditional auto-dependent suburb with pedestrian-oriented mixed-use development that builds sense of community. The present study tests two claims of neotraditional plans. In a community having a traditional suburb and nearby a traditional small-town center, on which neotraditional development is modeled, interviewers surveyed 120 residents—60 from each area. The analyses compared measures of sense of community, auto use, and reasons the residents chose to live in each area. The results support the claim that higher density mixed-use developments have lower auto use, but they failed to show that this form of development or the reduced use of autos translates into in-creased sense of community.
A comparison of extraction techniques for threshold voltage mismatch

In this paper commonly used extraction methods of MOSFET threshold voltage mismatch are compared. The V/sub T/ mismatch is extracted on the exact same device population by four independent characterization groups. Significant differences are observed, which are caused by differences in measurement setup and differences in extraction algorithm. The observed differences are analyzed. In addition merits and limitations of the various techniques are evaluated.
Generation and transmission contributions to system reliability in open access schemes

This work proposes a new method to assess the reliability contribution of the generation and transmission stages. It introduces a new criterion named "minimal functional curtailment" to fine-tune the disaggregation between the stages. The criterion is based on a cooperative game that the generation and transmission agents must jointly play to provide electricity supply to the customers connected to the system. The method is applied to the main Chilean interconnected power system. Its value under open access schemes is discussed.
Methods of detent force reduction in linear synchronous motors

The thrust force characteristic of a permanent magnet linear synchronous motor consists of a combination of three independent forces. One of these forces, the detent force, has an adverse effect on the performance of a linear synchronous motor. There are various methods to reduce the detent force. Finite element methods are used to assess the different schemes. Skewing and the variation of air gap length give the best reductions in detent force.
Simulation of Valve Position Feedback Mechanism Based on Pro/E and ADAMS

In traditional valve position feedback mechanism design, it is tested repeatedly and improvement after processing prototype, the process is complex and workload. Using Pro/E and ADAMS, the overall mechanical structure of the valve position feedback mechanism for joint simulation, and an analysis of the kinematics and dynamics model, simplified the design process of the repeated calculation, get the relationship of stem displacement-angle between gear, gear meshing force and motion state of the stem, the simulation value compared with the theoretical value, tallies with the data and shows that the simulation is reasonable.
Future perspectives on cell therapy for autism spectrum disorder

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by impairments in social communication, abnormal to absent verbal communication, the presence of repetitive stereotypic verbal and nonverbal behaviors and restricted interests, with onset early in life. We showed cognitive and behavioral characteristics of ASD by impairment of communication, cognition, perception, motor skills, executive function, theory of mind and emotion control. Recently, pathogenesis of immune pathology in the brains of individuals with ASD has been focused. New therapeutic approaches in the viewpoints of immune modulation and microglial function are logical for novel treatments for individuals with ASD. Cell therapies such as umbilical cord blood cells and mesenchymal stromal cells for ASD will be a challenging and encouraging field in the future clinical study with progress of biotechnological science.
effect of underwriter's reputation and auditor's reputation on underpricing in medium companies taking an initial public offering on the Indonesia stock exchange

The purpose of this study is to obtain empirical evidence of the influence of auditor reputation and the effect of underwriter reputation on medium-sized companies that conduct initial public offerings. This research was conducted on 190 companies experiencing underpricing listed on the Indonesia Stock Exchange (IDX) for the 2016-2021 period, the research data used in this study is secondary data. The number of samples analyzed was 130 development board companies and experienced underpricing because companies that met the sample criteria. The analytical technique used in this study was Multiple Linear Regression Analysis. The results of the study prove that underwriter reputation has a negative influence on underpricing of medium-sized companies that conduct initial public offerings. The reputation of the auditor has no effect on the underpricing of medium-sized companies that make this initial public offering on the IDX.
Mapping knowledge management authoring patterns and practices

This paper examines the literature on knowledge management (KM) in order to identify the typical authoring patterns and the focus of the content of published research. The study explores the argument that the inter-organizational level of analysis is explored less frequently than the intra-organizational level. The article reports on KM researchers and practices based on evidence from six journals ranked in the journal citation report covering several decades of publications. Based on this review, articles can generally be seen to have two co-authors from two different universities within the same country. The study confirms that published research is mainly empirical; largely adopting the intra-organizational level of analysis, with the people element being the least explored comparing to technology and process elements. This research gap represents an opportunity for authors to contribute with studies focusing on the inter-organizational level. Key words: Knowledge management, research mapping, inter-organizational, intra-organizational, processes, technology, people.
Driver Behavior Detection Based on Multi-GNSS Precise Point Positioning Technology

Driver behavior is the key to safe mobility. In general, vehicle maneuvers can be determined from acceleration of the vehicle. Physically, the acceleration and brake can be detected with longitudinal acceleration while turning and lane change can be detected with lateral acceleration. Nowadays, navigation system technologies have been much improved both on availability and accuracy with combination of multiple navigation satellite systems. Normally, it’s called Multi-GNSS (multiple global navigation satellite system). With decimeter precision and the update rate scale up to 10-Hz, the GNSS could be an alternative solution for driver behavior detection. In this paper, advance Multi-GNSS with precise point position (PPP) technique was presented with a simple maneuver detection algorithm. The advantage of PPP over conventional navigation is decimeter accuracy without direct connection to any reference base station. The experimental Multi-GNSS receiver was JAVAD Delta G3T that installed on a utility vehicle. This high performance multi-GNSS navigation system was investigated with the driving behavior detection algorithm. The precise point positioning (PPP) technique in combination with multiple satellite navigation system (GPS+GLONASS+GALOLEO+QZSS) were applied in this study. The PPP technique improved the output of detection algorithm in acceleration limit from 260% error in conventional navigation system (GPS) to 20% of incidents with PPP.
Properties of Electron Distributions in the Martian Space Environment

Electron and magnetic field measurements from the Mars atmosphere and volatile environment (MAVEN) mission are utilized to study the interaction between Mars and the solar wind. Instruments like the solar wind electron analyzer (SWEA) aboard MAVEN measure properties of the electron environment over a broad range of electron energies. Measurements at low electron energies include contributions from spacecraft photoelectrons and secondary electrons that must be accounted for to accurately characterize the environment. We developed an algorithm to identify and remove secondary electron contamination to improve estimates of electron densities and temperature. We then compiled global maps of average electron density, temperature, and temperature anisotropy under different conditions, considering quasi‐parallel and quasi‐perpendicular bow shocks and upstream solar wind Alfven Mach number. Higher temperature anisotropy is observed for quasi‐perpendicular shock crossings, as expected. We find significant electron temperature anisotropy upstream of the bow shock for quasi‐perpendicular shock crossings, suggesting a heating mechanism, such as that provided by electromagnetic waves. We analyzed the influence of hi and low Alfven Mach number conditions and found the electron plasma beta to be the only electron property significantly affected. We studied the relationship between the electron distribution function and the generation of instabilities and conclude that the upstream Alfven Mach number influences the stability of electron distributions in the Martian environment.
Failure management in spatio-temporal redundant, integrated navigation and flight control reference-systems

Failure management techniques for highly reliable, fault-tolerant inertial reference systems are described. Cost, weight, and power considerations imply the use of a minimum number of inertial sensors in a skewed geometry. Fault-tolerant hardware performance is obtained by spatially separated channels with a preceptron-type information flow. Data diversity in temporally separated software channels yields software fault tolerance. Advanced vector space procedures for fault detection, localization, masking, and dynamic system reconfiguration permit safe and quick response, yielding minimal data and recovery latency. <<ETX>>
Passive radar prototypes for multifrequency target detection

This paper describes two experimental prototypes of FM radio based passive radar receivers developed and fielded at the INFOCOM Dept. of the University of Rome "La Sapienza". The two prototypes are based on two different design approaches: direct IF sampling and signal down-conversion & baseband sampling. The acquisition campaigns that have been carried out with the two prototypes are described together with the collected data analysis and processing. Specifically, we consider the high diversity of the FM radio signals received over different carrier frequencies spanning the 88÷108MHz received bandwidth since it represents the basis for the request of a multi-frequency operation. The joint exploitation of the opportunity waveforms received on multiple FM radio channels is shown to yield better performance in terms of detection capability. To this purpose, the results obtained over the collected data set for the single FM channels and after a proper multi-frequency integration procedure are reported and compared.
Ionospheric slant total electron content determination from multi-frequency GNSS signals carrier-phase measurements

Receiving and processing of global navigation satellite systems (GNSS) signals make it possible to determine the ionospheric total electronic content (TEC). Most of the TEC estimation methods used are based on processing joint measurements by code and carrier phase in two bands of signals from a navigation satellite. With such an estimate of the TEC, systematic errors arise associated with different signal delays in different frequency bands in the radio frequency path of the satellite transmitter and the navigation receiver, called differential code biases (DCB). To exclude the effect of DCB on the error in determining the slant TEC (STEC), a method for processing only simultaneous carrier-phase measurements in different frequency bands based on signals from two or three satellites is proposed. To resolve the ambiguity of carrier-phase measurements, these satellites should have a close angular position relative to the receiver.
Whose climate intervention? Solar geoengineering, fractions of capital, and hegemonic strategy

Proposals for slowing climate change by reflecting sunlight back to space, known as solar geoengineering (SG), are gaining traction in climate policy. Given SG’s capacity to slow warming without reducing carbon emissions, prominent criticism suggests that it will enable fossil fueled business-as-usual. This assessment is not without merit, yet the primary funders of SG research do not emanate from fossil capital. We analyze sources of funding for SG research globally, finding close ties to mostly US financial and technological capital as well as a number of billionaire philanthropists. These corporate sectors and associated philanthropies comprise part of ‘climate capital’ – the fraction of the capitalist class nominally aligned with climate action. We argue that SG is being positioned as a tactic for enabling incremental, market-driven decarbonization, explore key institutions advocating this approach in US climate policy, and conclude that SG is poised to serve as a tool for class compromise between fossil and climate capital.