Miracle-dz/UniFAR-FTUs huggingface dataset:
An Effective Machine Learning Approach to Detect Satellite Signals in Passive RF Space Domain Awareness Data

An increase in Resident Space Objects (RSOs) requires improved custody through tracking and space object characterisation. A technology that can assist with this is Passive Radio Frequency (RF). One challenge with Passive RF technology is determining if a data collection contains a satellite signal, which is often a Human-In-The-Loop (HITL) task. This work presents a two-staged approach to automating the HITL component of identifying satellite signals in both small and large bandwidth and time data captures, using: 1. Image Classification, and 2. Object Detection. A customised Convolutional Neural Network (CNN) is designed for the image classification stage that classifies a small bandwidth Power Spectral Density (PSD) data capture as containing a satellite signal or not. Several out-of-the-box object detectors such as Faster Region-based Convolutional Neural Network (RCNN), You Only Look Once (YOLO) and Single Shot Detector (SSD) are compared for the object detection problem whereby the detector determines the frequency and time window of one or more satellite signals in a large bandwidth and long duration PSD data capture. The results show that for the image classification problem, the custom CNN model presented in this paper outperforms an existing Energy Detection technique. Furthermore, for the Object Detection problem, SSD looks to be a promising technique for autonomously detecting satellite signals in large data captures.
The Impacts of Free Cash Flow and Agency Cost on Firm Performance

This study aims to examine the effect of free cash flow and agency cost to firm performance. The purpose of this study to provide empirically evidence about the effect of free cash flow and agency cost to firm performance. This study also examines the free cash flow hypothesis. Recent study about this topic resulting mixed/various result. Free cash flow in this study measured by free cash flow t-1, agency cost proxied by operating expenses ratio. Firm performance divided into three, operational performance measured by ROA, firm value measured by tobin's q ratio, and share return measured by holding period return. This study will conduct on manufacturing companies listed on Indonesian Stock Exchange period of 2017-2021. Sample were selected by purposive random sampling method and finally obtained 396 samples that fulfill the criteria. Data were analyzed using multiple regression analysis. The result show that free cash flow has insignificant positive effect on firm operational performance, firm value and share return. Agency cost has significant negative effect on firm operational performance, firm value and share return. This study provides empirical evidence of the effect agency cost on firm performance and provides contribution to the literature on free cash flow hypothesis topics.
Is this a human or robot face? Robot occupations affecting the border between humans and robots

Studies such as the Uncanny Valley have implied that we perceive a subjective border between human and robot faces. However, whether people’s perceived anthropomorphism and robot-human borders are consistent across different robot occupations remains to be explored. This study examined the robot-human border by analyzing the human photo proportion represented by the point of subjective equality (PSE) in three image classification tasks. Stimulus images were generated by morphing a robot face photo and one each of four human photos in systematically changed proportions. Participants classified these morphed images in three different robot occupational conditions to explore the effect of changing robot jobs on the robot-human border. The results indicated that robot occupations, and participant age and gender influenced people’s perceived anthropomorphism of robots and the results can be explained by the implicit link between robot job and appearance, especially in a stereotyped context. The study suggests that giving an expected appearance to a robot may reproduce and strengthen a stereotype around associating a certain appearance to a certain job.
DEVELOPMENT OF METHODOLOGY FOR TOOLING MANAGEMENT ITEMS IN A MANUFACTURING ENVIRONMENT

Flexibility is the key requirement for companies in the manufacturing systems characterized by diversified and customized products, particularly in the machining area. Developments in automation and manufacturing engineering have contributed to the increase in the versatility of the machine tools and these equipments become capable of processing a wide variety of products. However, the capacity of a machine tool processing several products is limited by the manufacturing strategy, tooling availability and setup time required. The availability of multiple tools is of fundamental requirement for high rates of machine tool utilization in manufacturing environments. Even in relatively small machining companies, a wide tooling variety becomes necessary. In this scenario, the tooling management in the manufacturing environment is needed to minimize disturbance. Among these items are inserts, solid tools, toolholders, collets and adaptors. The objective of this research is to develop a methodology in order to enable the tooling traceability (toolhoders, collets and adaptors), aided by a computerized system, that provides information about the quantity, location and condition of items. The methodology is based on using 2D barcodes (data matrix) and the integration of six steps with a computerized system. Tests in manufacturing environment were carried out in order to a better understand the methodology. Results indicated that the adoption of machining tooling management provides the ability to identify obsolete tooling, avoid redundant information, reduce inventory, minimize the investments when purchase new machine tool and enables focus on critical points.
Development of a versatile LiDAR point cloud simulation testbed for advanced RSO algorithms

Due to the increasing amount of Resident Space Objects (RSOs) in the Earth’s orbit, the ability to quickly and accurately extract information about them has become an important element of Space Situational Awareness (SSA). The Global Shutter Flash LiDAR (GSFL) has been proven to be an effective and highly reliable sensor to acquire multi-dimensional data about RSOs over a wide range of in-orbit distances from less than a meter to 5km, with the potential to extend this range to 50km. Various information products are available from advanced GSFL embedded processing depending on the mission needs and concept-of-operations (ConOps). This information is available on-platform in real or near real-time, or for transmission off-platform for further processing and analysis. In order to support development of the GSFL and associated system interaction, a comprehensive simulation testbed has been developed. With this tool, scientists and engineers can work through concept development and feasibility studies, mission ConOps, and system design decisions at the highest levels. The simulation testbed fits into the Model Based System Engineering (MBSE) approach in a number of ways, including functional/behavioral and performance modeling. Additionally, the simulation testbed is an important part of Machine Learning (ML) and Artificial Intelligence (AI) workflows to generate the large organized point cloud (OPC) datasets needed for Deep Learning Convolutional Neural Networks (DL-CNN), for example. As a tool for software development, the simulation testbed is used for unit and regression testing during development and sustainment, with realistic real-time dynamic scenarios and accurate GSFL organized point cloud data. The simulation testbed has been constructed with layers of abstraction and developed in an object-oriented manner for continuing capability extension and refinements as its use expands .
Scribes with PGY-1 Residents on Inpatient Medicine Teams: Effect on Time Spent in Meaningful Work

Background The high documentation demands and limited time in direct patient care in the first year of internal medicine residency represent concerns for burnout and low job satisfaction in this important year of training. Objective To assess the effect of scribes on the time PGY-1 residents spent on various work tasks. Methods Participants were 24 PGY-1 internal medicine residents on two inpatient medicine teams at one site for 6 months (September 2019–February 2020). Residents were assigned a scribe during the first or second 2 weeks of a 4-week rotation and had no scribe for the other 2 weeks. Time study observers documented resident work activities. Residents ranked the meaningfulness of work activities via survey at the end of each 2-week period. Results Of 24 residents, 18 (75%) completed the survey at both time points. Residents ranked patient care as the most meaningful and EHR work as the least meaningful work activity. EHR work claimed the largest percentage of time, with or without a scribe (mean, 33.2% and 39%, respectively). With a scribe, residents spent significantly less time (−5.8%, P < 0.0001) in EHR work and significantly more time (1.3%, P = 0.0267) in direct patient care and coordinating patient care (3.0%, P < 0.0001). Conclusions The presence of a scribe with PGY-1 internal medicine residents on inpatient teams resulted in a significantly greater percentage of total work time spent in work they considered most meaningful and a significantly lower percentage of total work time in work they considered least meaningful.
epi-A study of protective effects of Mus81 in preeclampsia

This study was to investigate the effect and mechanism of Mus81 in severe PE. 20 cases of pregnant women with severe PE and 20 cases of healthy pregnant women were enrolled. Placental tissues were collected after delivery, and the expression of Mus81 in placental tissues was detected by qRT-PCR and Western blot (WB). The si-Mus81 adenovirus was used to construct a pregnant mouse model of Mus81 down-expression in vivo, to clarify the effect of Mus81 on pregnant mice and blood pressure, urinary protein, serum sFLT1 and fetal weight in PE. After overexpression of Mus81 in HTRB-S/Vneo cells, the proliferation, migration and apop - tosis of the cells were measured by EdU staining, flowcytometry, qRT-PCR and cell scratch test. Protein expression of the Wnt/β-catenin signaling pathway was detected by WB. To further explore the mechanism, Wnt/β-catenin inhibitor DKK1 inhibitor was added to HTRB-S/Vneo cells and then Ad-Mus81 was added for co-incubation for 48 h. Protein expressions p-β-catenin and activated-β-catenin were detected by WB. Bax and Bcl-2 were detected by qRT-PCR, and the proliferation of HTRB-S/Vneo cells was measured by EdU staining. Cell migration was detected by scratch test. The expression of Mus81 in the placental tissues of pregnant women with severe PE was lower than that in normal placental tissues. The blood pressure, urine protein and serum sFLT1 protein levels of Mus81 knockdown mice were all upregulated and the fetal weight was decreased after the injection of si-Mus81, which successfully simulated the characteristics of PE. After overexpression of Mus81, the proliferation and migration of HTRB-S/Vneo cells were enhanced, while the apoptosis was decreased. After overexpression of Mus81, the expression levels of p-β-catenin decreased while active-β-catenin increased obviously. Then, DKK1 inhibitor and Ad-Mus81 were added to the HTRB-S/Vneo cells and co-incubated for 48 h. Compared with the Ad-Mus81+DMSO group, the expression of p-β-catenin increased while activated-β-catenin decreased in the Ad-Mus81+DKK1 inhibitor group. The proliferation and migration decreased, but apoptosis of HTRB-S/Vneo cells was increased. Mus81 can regulate the prolifera - tion, migration and apoptosis of trophoblast cells through the Wnt/β-catenin pathway, which plays an impor - tant role in maintaining the normal physiological function of trophoblast cells and is also involved in the occurrence and development of severe PE.
UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society

Young children’s intuitions about the meanings of novel nouns have revealed foundational biases in language learning. Nevertheless, existing work on such word-learning biases has focused primarily on only one spatial domain to which nouns might refer—objects—not the large-scale and navigable places in which objects are situated. Previous research has nevertheless shown that adults and children treat objects and places differently not only in recognition and navigation tasks, but also in symbolic tasks, like drawing production. In a noun-extension task, we thus evaluate young children’s and adults’ word-learning biases across these two spatial domains— objects and places—and show that young children and adults treat objects and places differently in language: Young children and adults preferentially extend novel nouns to objects over places. This bias suggests a specific role for spatial domain in word learning and may reflect greater attention to objects over places in symbolic contexts like language.
The Knowledge Economy: How Intellectual Capital Drives Financial Performance of Non-financial Service Firms in Nigeria

The study investigates the relationship between intellectual capital and financial performance of 58 listed non-financial service firms in Nigeria for a period of eleven years from 2012 to 2022.The study extracts data from annual reports and accounts of the listed non-financial service firms in Nigeria. The study aligns with correlational research design and positivism research philosophy. The modified Value-added intellectual coefficient (MVAIC) method is applied to measure the value-based intellectual performance of the sampled firms. Return on equity (ROE) and Tobin’s (TQ) are used to measure the financial performance of the firms. The intellectual capital (human and structural and relational capital) of selected firms has been analyzed and their impact on financial performance has been measured using the multiple regression technique. The findings of the analysis reveal that the relationships between intellectual capital and financial performance indicators, namely ROE and TQ, are varied. The study result s suggest that intellectual capital influences the financial performance of Nigeria’s listed non -financial service firms. The study recommends that the board of directors of non-financial service firms in Nigeria should identify, protect and ensure effective utilization of intellectual capital in their companies in order to achieve long-term success and competitiveness. The study provides policy implications as the MVAIC method can be used as an important tool by decision-makers in the knowledge economy to integrate intellectual capital in the decision-making process.
Parameterizing Support Vector Machines for Land Cover Classification

The support vector machine is a group of relatively novel statistical learning algorithms that have not been extensively exploited in the remote sensing community. In previous studies they have been found to generally outperform some popular classifiers. Several recent studies found that training samples and input data dimensionalities can affect image classification accuracies by those popular classifiers and support vector machines alike. The current study extends beyond these recent research frameworks and into another important inquiry area addressing the impacts of internal parameterization on the performance of support vector machines for land-cover classification. A set of support vector machines with different combinations of kernel types, parameters, and error penalty are carefully constructed to classify a Landsat Thematic Mapper image into eight major land-cover categories using identical training data. The accuracy of each classified map is further evaluated using identical reference data. The results reveal that kernel types and error penalty can substantially affect the classification accuracy, and that a careful selection of parameter settings can help improve the performance of the support vector classification. These findings reported here can help establish a practical guidance on the use of support vector machines for land-cover classification from remote sensor data.
Modeling and testing of COTS observation systems for night and daytime satellite detection

Millennium Space Systems built a mobile ground observation system using commercial off-the-shelf (COTS) components with the objective to detect and track satellites in low Earth orbit (LEO). We first demonstrated satellite tracking at night, and then we expanded this capability to daytime operations. Trades and considerations for both night and daytime observation systems are documented, focusing on our signal-to-noise (SNR) optical models to select a shortwave infrared (SWIR) sensor suitable for daytime satellite detection. We discuss our attempts to verify our models by extracting target SNR for visible and SWIR satellite detection. In general, our SNR estimates leaned conservative for our VIS observations, likely due to our model assuming a 20% reflective, spherical target. We have captured about 30 LEO satellites down to 1U CubeSat size (10cm^3) and 10 geosynchronous (GEO) satellites. Our SWIR modeling results set us up for successful daytime satellite observations, allowing detection of over 10 satellites including rocket bodies and other large targets.
2B Improving Business Performance through Entrepreneurship Orientation and Management Capacity for Women Entrepreneurs

Human Resources (HR) is very important for the organization because various things that influence attitudes and behavior must be well understood to make their contribution to the organization optimal. This study aimed to find out and analyze the effect of entrepreneurial orientation and management skills on women entrepreneurs' business performance. The type of research used is descriptive verification by literature studies and field research. The influence model will be analyzed using Path Analysis (Part Analysis). The results showed that entrepreneurial orientation significantly affects women entrepreneurs' management capabilities and business performance. Management capability also
Evaluation of the Salivary level of Sphingosine _ 1 phosphate in periodontitis

The reactive signaling molecule sphingosine-1-phosphate (S1P) plays a vital function in many biological processes that encompass cell development. In addition, it has been linked to bone resorption and formation. Based on its biological effects on osteoclastic and osteoblastic cells and immune cells, S1P has recently been discovered as a mediator and biomarker in inflammatory bone disorders such as osteoporosis and inflammatory osteolysis. Sphingosine-1-phosphate (S1P) may play a role in developing periodontitis, an inflammatory disorder that destroys bone. This study aims to evaluate the salivary level of S1P in periodontitis. The study sample consisted of 70 participants, both males and females. It was divided into three groups: the first group, the Healthy Control group (20 Subjects); the second group, Periodontitis Stage II (25 Subjects); and the third group, Periodontitis Stage III (25 Subjects). Clinical periodontal characteristics were evaluated after entire, unstimulated saliva samples were collected from all individuals (plaque index, probing pocket depth, bleeding on probing, and clinical attachment level). As a biomarker, the amount of S1P in the saliva was measured using an enzyme-linked immunosorbent assay (ELISA). This study demonstrated a statistically significant correlation between higher mean S1P levels and higher periodontitis severity. The study demonstrated that the salivary S1P level could help to monitor periodontal disease progression.
DEXTRINIZATION OF STARCH WITH ALPHA-AMILASE IN THE CONDITIONS OF ETHYL ALCOHOL PRODUCTION

Fermentation of starch-containing raw materials in alcohol production is limited by the rate of enzymatic hydrolysis of dextrins, which depends on the productivity of alcohol per ton of raw materials. We conducted a study of the kinetics of hydrolysis of corn starch by enzymes of the amylase complex depending on their dosage in the conditions of a one-stage and two-stage dilution process. Research methods generally accepted in the alcohol industry were used in the work. Conventional starchiness was determined polarimetrically according to the Evers method. Enzymatic activity was determined by the photocolorimetric method. If the enzymatic hydrolysis of starch was carried out at a temperature of 90  C, the loss of activity of the enzyme preparation "Amilex 4T was 73 % already after the first hour of exposure, and after three hours of exposure, the activity was only 15.4 % of the initial level. The dilution regime at temperatures of 50–70  C for one hour and raising it to 90  C and holding for two hours ensured the preservation of the enzyme activity, which was 62.9 % of the initial one. As a result of dilution of the wort with different dosages of the alpha-amylase enzyme, it was determined that a dose of the enzyme of 1.5 units of activity per 1 g of starch provided the necessary and sufficient level of formation of fermentable sugars. It was established that the dissolution of starch under the conditions of stepwise two-stage heating of the wort was better in comparison with the one-stage regime. The content of undissolved starch in the matured brew was 0.03 against 0.13 g/100 cm 3 in the control, the indicators of unfermented sugars in the brew corresponded to the regulated ones, and the alcohol content increased by 0.2 %.
Research Article Destination psychological ownership, environmental awareness and sustainable practices: A study among inbound UK and Chinese adults of Generation Zs

Sketching on psychological ownership-attitude-behavior theory, the present study examines the effect of destination psychological ownership on Generation Z’s tourist environmental attitude, which in turn influences their sustainable behavior. This study also investigates the conditional impact of environmental awareness on the ecological attitude-sustainable behavior relationship. Using a purposive sampling approach, the authors collected data from inbound Generation Z tourists in the UK and China through a survey. The findings concluded with a significant positive impact of destination psychological ownership on Generation Z’s environmental attitude. The current evidence also supports the positive effect of ecological attitude on Generation Z’s sustainable behavior. The present work offered robust evidence that environmental awareness moderates the environmental attitude-sustainable behavior relationship in Generation Z. Concerning UK and Chinese cultural differences, the findings concluded with variations among their Generation Z tourist destination psychological ownership, ecological attitude and sustainable practices. Implications and limitations have also been elaborated on at the end.