Miracle-dz/UniFAR-FTUs huggingface dataset:
THE COMMON BORDER DATUM REFERENCE FRAME (CBDRF) BETWEEN INDONESIA AND TIMOR-LESTE: IMPLEMENTATION AND PROCESSING

The accurate delineation of the border between the Republic of Indonesia (RI) and the Democratic Republic of Timor-Leste (RDTL) was a major issue after the independence of the latter country. On some segments, the uncertainty about the correct line of the border was high due to several factors (e.g., destruction of old markers, change on river courses, etc.). In addition, the accurate surveying of the entire border line in a known international reference frame was required by the two countries in order to solve any possible issue in the future. This paper focuses on the implementation, processing and mapping of the Common Border Datum Reference Frame (CBDRF), the fiducial network created as support for the delineation field work. The CBDRF network has been observed in two different epochs. The major campaign was carried out in May 2003, where reference markers were materialized (in Timor-Leste) and observed in both sides of the border. In addition, sites observed in Indonesia side in December 2002 were also included in order to densify the entire network. The guidelines adopted by the two governments required that the CBDRF was processed and mapped independently by the Indonesian and East-Timorese partners. Different software packages, and strategies were applied by both teams, which allow one to independently evaluate the results. ITRF2000 (International Terrestrial Reference System, solution 2000) has been selected to map the CBDRF into a known international reference frame. The best approach on the selection of the reference stations was investigated. The comparisons that lead to the final set of reference stations (commonly agreed by all partners) are here described and analyzed. On a final step, the coordinates independently obtained by each group were weight averaged. Small threshold values (dependent of the station order) were defined in order to detect any possible outlier. For the stations showing abnormal discrepancies, the reasons were investigated, which allowed to correct the errors for almost all cases. The dense geometry and the quality of the final coordinates of the CBDRF network was a guarantee of the accurate delineation the border, next step of the project. Moreover, the implemented network can be used in the future for other projects (e.g., geodynamic research).
DMSO_A_335088 93..102

*These authors contributed equally to this work Background: Type 2 diabetes (T2D) is characterized by progressive β-cell dysfunction. Regulatory microRNAs (miRNAs) may be associated with this. Methods: Serum miR-26a-5p and RNF6 levels were detected in T2D patients and healthy volunteers via qRT-PCR. Subsequently, the role of specific dysregulated miR-26a-5p or RNF6 in regulating insulin content, cell proliferation, and apoptosis was studied in INS-1 cells. The targeting correlation between miR-26a-5p and RNF6 was detected using a luciferase assay. Results: RNF6 expression was significantly decreased in T2D individuals and INS-1 cells treated with high glucose, while miR-26a-5p expression was increased. In INS-1 cells, RNF6 overexpression or miR-26a-5p downregulation significantly increased insulin content and secretion, induced proliferation, and inhibited apoptosis. RNF6 has been identified as an miR-26a-5p target, which negatively regulates RNF6 to worsen INS-1 cell function. Conclusion: RNF6 promoted insulin secretion and induced cell proliferation in INS-1 cells. This may be related to miR-26a-5p targeting and negatively regulating T2D pathogenesis.
Stability and dynamical analysis of whirl flutter in a gimballed rotor-nacelle system with a smooth nonlinearity

Abstract Whirl flutter is an aeroelastic instability that affects aircraft with propellers/rotors. With their long and flexible rotor blades, tiltrotor aircraft are particularly susceptible. Whirl flutter is known to have destroyed aircraft and in the best case it constitutes a fatigue hazard. The complexity of whirl flutter analysis increases significantly with the addition of nonlinearities, due to the more complex dynamical behaviours that emerge as a result. Most whirl flutter stability analyses in current literature are grounded in linear theory, preventing the full discovery of the nonlinearities’ effects. Continuation and bifurcation methods (CBM) may instead be used to fully appreciate and analyse the effects of the presence of nonlinearities. Previous CBM-based work on nonlinear gimballed hub rotor-nacelle models, representing those found on tiltrotor aircraft, are capable of whirl flutter in parametric regions declared safe by linear analysis. Furthermore, it was found that they are capable of complex behaviours including limit cycle oscillations, quasi-periodic behaviour and even chaos, though the whirl flutter implications of such behaviours has not been explored. This paper investigates the impact of a smooth structural nonlinearity on the whirl flutter stability of a basic gimballed rotor-nacelle model, compared to its baseline linear stiffness version. A 9-DoF model with quasi-steady aerodynamics, a flexible wing and blades that can move both cyclically and collectively in both flapping and lead-lag motions, producing gimbal flap-like behaviour, was adopted from existing literature. A smooth stiffness nonlinearity was introduced in the blade flapping stiffness and CBM was used to find the new whirl flutter behaviours created by the presence of the nonlinearity. Time simulations, Poincaré sections and spectral analysis were then used to investigate the various behaviours found. This in turn allowed recommendations to be made concerning preferable and/or hazardous parameter combinations of use to the tiltrotor designer.
Control of a nonlinear underactuated system with adaptation, numerical stability verification, and the use of the LQR Trees algorithm

Underactuated robotics, though surrounded by an established body of work, has certain limitations when nonlinear adaptive control principles are applied. This thesis applies a nonlinear adaptative controller that avoids many of these limitations using alterations inspired by the control of a similar underactuated system, the cart-pole. Due to the complexity of the system, a sums-of-squares MATLAB toolbox is used to generate a suitable Lyapunov Candidate used for proofs of stability, with claims of local stability made using Barbalat's Lemma. This provides us with a local domain of attraction for the altered classical nonlinear adaptive controller. In addition, the algorithm known as LQR Trees is applied to the system in order to create a controller with a larger region of attraction and lower torque requirements, though without an adaptive component. Both control systems are implemented in simulations using MATLAB. Thesis Supervisor: Jean-Jacques E. Slotine Title: Professor of Mechanical Engineering, Professor of Brain and Cognitive Sciences
Interfacing the da Vinci Research Kit (dVRK) with the Robot Operating System (ROS)

To interface the da Vinci Research Kit (dVRK) with the Robot Operating System (ROS), we developed a software stack dvrk-ros, exposing the cisst-based robot control API to the ROS environment, providing Unified Robot Description Format (URDF) files for visualization, and offering kinematic as well as dynamic simulation. We also present some medical and nonmedical use cases.
Effect of Diclofenac on Reproductive Function in Female Wistar Rats

Aim: This study was designed to investigate the effect of diclofenac on reproductive function in female Wistar rats. Methods: Fifteen female rats (120 – 160 g) were used for the estrous cycle and histopathological studies. Diclofenac (1.43 mg/kg) was administered orally on daily basis for 21 and 50 days respectively for the estrous cycle and histological studies. Estrous cycle was carried out using the technique of Marcondes et al., histologies of the ovaries and uteri were also carried out. Data were analysed using descriptive statistics and student’s t-test at p=0.05. Results: Treatment of rats for 21 days with diclofenac (1.43 mg/kg) produced significant (p<0.05) increments in the estrous and metestrous phases as well as a significant (p<0.05) reduction in the proestrous phase of the estrous cycle relative to their respective controls. The histopathological study presented with ovarian medullar that is congested (hemorrhagic) and oedematous. Conclusion: It can therefore be concluded that diclofenac probably has pro-fertility effect with deleterious effect on the ovaries at histological level in female Wistar rats.
Forthcoming in a volume ed. By Valia Allori “If someone points out to you that your pet theory of the universe is in disagreement with Maxwell’s

“If someone points out to you that your pet theory of the universe is in disagreement with Maxwell’s equations—then so much the worse for Maxwell’s equations. If it is found to be contradicted by observation—well these experimentalists can bungle things sometimes. But if your theory is found to be against the Second Law of Thermodynamics I can give you no hope; there is nothing for it but to collapse to deepest humiliation. ” Arthur Eddington
Economic Resilience in Sub-Saharan Africa : An Analysis of the Determinants

This paper examines the macroeconomic factors related to economic structure and institutions that are most important for economic resilience in order to guide future policy actions. This is done through econometric analysis by assessing the absorptive capacity of common shocks for sub-Saharan African countries. The results suggest that factors related to economic structure appear to be the most important. These include exchange rates, terms of trade, trade openness, foreign direct investment and financial development. Institutional factors such as government stability and reduced social conflict increase the absorptive capacity to shocks. These findings reiterate the need to identify and vigorously pursue macroeconomic policies and structural reforms.
Latent Goal Allocation for Multi-Agent Goal-Conditioned Self-Supervised Imitation Learning

Multi-agent learning plays an essential role in ubiquitous practical applications including game theory, autonomous driving, etc. On the other end, goal-conditioned learning attracts a surge of interests with the capability of solving a rich variety of tasks and conﬁgurations. Nevertheless, the scenarios that combine both multi-agent and goal-conditioned settings have not been considered previously, attributed to the daunting challenges of both areas. In this work, we target multi-agent goal-conditioned tasks , with the objective of learning a universal policy for multiple agents to reach a set of sub-goals. This task necessitates the agents to execute differently conditioned on the assigned sub-goals. In various scenarios, it is infeasible to access direct rewards of actions and sub-goal assignment labels for each agent. Hence, we resort to imitation learning using only expert demonstrations without reward information or sub-goal assignment labels. To achieve that, we propose a probabilistic graphical model, latent goal allocation (LGA), which explicitly promotes the sub-goal assignment as a latent variable and generates corresponding agent actions. We conduct experiments to show that the proposed LGA outperforms existing baselines with interpretable sub-goal assignment processes.
OPTH_A_338199 51..62

1EliteOptyk Malinowscy, Białystok, Poland; 2Laboratory of Eye Rehabilitation; Medical University of Białystok, Białystok, Poland; 3Department of Ophthalmology, Heliodor Swiecicki University Hospital, Poznan University of Medical Sciences, Poznan, Poland; 4Clinic and Department of Pediatric Ophthalmology, School of Medicine in Katowice, Medical University of Silesia in Katowice, Katowice, Poland; 5Department of Infectious Diseases and Neuroinfections, Medical University of Białystok, Białystok, Poland
COVID-19 Risk Scoring in Los Angeles County

Accurately estimating COVID-19 exposure risk is critical for implementing necessary mitigation and safely reopening the economy. In this work, we propose to assess the exposure risk for communities in the City of Los Angeles by forecasting new conﬁrmed COVID-19 cases per 10,000 population. To this end, we integrate COVID-19 case data, mobility data, and social-economic data for training linear regression and LSTM models to forecast new cases. From the linear regression model, we draw insights on how mobility and social-economic status are associated with COVID-19 exposure risks. Due to the highly complex relationship between features and conﬁrmed cases, the trained LSTM model achieves higher forecasting accuracy than the linear model. Thus, we build a web app for visualizing the estimated risk scores based on the LSTM model. Our risk scoring system could help the general public and policy makers implement timely COVID-19 risk mitigation.
Newfangled Approach for Analyzing the Impact of Artificial Intelligence in E-Commerce

-During the last decade of the twentieth century and among the first one and half decades of the third millennium-up to the best knowledge of the author of this thesis, the issue of Business Intelligence and its involvement in business environment and in Electronic Commerce environment in particular for better achievement, has ‘often’ been dealt with as several individual unidirectional problems, or quite seldom as bidirectional problem. This thesis presents however a research project that has differently handled the said issue as a ‘single’ multidirectional problem. The general trend to utilize the concept of Business Intelligence was through considering it as a tool or a means that is actively reliable in decision making concerning business organizations with respect to their partial activates besides their strategic and executive planning.
The Importance of the Journey Map in the Design of a Playful Interactive-Interface

This article presents the importance of using the customer journey map (CJM) as a tool for managing new information technologies. The case study presents the use of the CJM to indicate the experiences that people have when using a playful interactive-interface, where the causal relationship between the brightness and the distance of the stars is visualized. The CJM is the result of a quantitative and qualitative study about user experience (UX) or UX research. Where you can use: 1) observation techniques, 2) interviews, 3) questionnaires, 4) a review of the domain literature about the phenomenon, archetypal descriptions, 5) diagrams of mental models; also known as thought schemes, or cognitive maps, among others. This research focuses the development of the interface in the design of archetypal profiles and mental models to generate the CJM, in the domain of the specific phenomenon.
Energy Management Optimization Based on Energy Efficiency Monitoring in Shanxi Industrial Park

To prove the practicality of energy management and optimization based on energy monitoring,the development of energy monitoring system is described,the selection of hardware and development of software are elaborated,and the processes of energy management and optimization are generalized.According to energy monitoring in several enterprises of a Shanxi industrial park,the comprehensive energy efficiency data and single equipment details are listed.Based on data of one enterprise,energy management and optimization were practiced.Through practice that energy management and optimization based on energy efficiency monitoring are very practical.
Response of the Fruit Antioxidant System to the Post-Chilling Period in Two Different Tomato Lines

Antioxidant systems play an important role in prevention of chilling injury, and chilling-tolerant fruit may initially contain more antioxidants or be able to maintain their antioxidant levels during stress. Tomato fruit are chilling sensitive and chilling symptoms generally appear after fruit are transferred to non chilling temperatures. The aim of this study was to characterise the events occurring at 20°C, immediately after a storage period at 4°C, and to establish the importance of tomato fruit ascorbic acid levels in the response to chilling. Two different tomato lines were used: a processing cultivar (M82) with low to average ascorbic acid levels and an introgression line (IL9.2.5) containing elevated ascorbic acid levels due to the introgression of wild Solanum pennellii alleles on chromosome 9. We show a rapid response (0.5 hours) of the antioxidant system in tomato to re-exposure to normal temperatures and light following chilling. The ascorbate redox state undergoes rapid changes and is followed by changes in the redox state of the glutathione pool. The response is different in the two tomato lines studied: fruits from IL9.2. 5 have a higher ascorbic acid and glutathione redox state compared to the parent M82 where the pool of both antioxidants becomes oxidised. The redox state of the ascorbate pool is correlated with the activity of enzymes involved in ascorbate regeneration (monodehydroascorbate reductase and dehydroascorbate reductase) in the fruit. Furthermore the ability of IL9.2. 5 to maintain reduced antioxidant levels is correlated with a decreased loss of fruit firmness when compared to M82. _____________________________________________________________________________________________________________
Total Phytosterols Content In Roselle (Hibiscus sabdariffa) Calyx From Subang And Bandung

The roselle (Hibiscus sabdariffa) calyx is used as an anti-cholesterol empirically. This is suggested because of the phytosterols content which can decrease cholesterol levels in the body. This study aimed to determine the total phytosterols content in roselle calyx from Subang and Bandung. Colorimetric method was used to measure the colored compounds from sterols and Liebermann Buchard reagents. The results showed that total phytosterols content in 100 g of roselle calyx from Bandung and Subang was 152.667 ± 2.456 mg and 171.667 ± 3.126 mg, respectively. We conclude that the total phytosterols content of roselle calyx influenced by the growth location.
2D GANs with Capsule Networks

Figure 1a demonstrates an example relating to the flaw of CNNs. CNNs classify an entity having two eyes, 1 nose and 1 mouth as a human, however they cannot differentiate between the images having facial components in the wrong places. In addition to being easily fooled by images with features in the wrong place a CNN is also easily confused when viewing an image in a different orientation. A massive drop in performance by simply flipping Kim upside down. [2]
Geometric morphometric study of sexual dimorphism and its associated allometry in wings of Pelopidas thrax

Subject Editor: Asghar Shirvani ABSTRACT. Pelopidas thrax (Hübner) (Lep.: Hesperiidae) is a widespread species in southwest Iran. We aimed to use geometric morphometric techniques to investigate the sexual dimorphism and allometric effects associated with the wings of P. thrax. Foreand hind wings of 40 and 39 individuals, respectively, of each sex which were collected from Ahvaz city were digitized and analyzed. Sexual dimorphism was observed in size and shape of foreand hind wings of P. thrax and was graphically illustrated. Multivariate statistics confirmed significant differences in shape of foreand hind wing between sexes. Centroid size of both wings showed greater values in females than males and visualized by boxplots. Various multivariate regressions of shape coordinates on centroid size were significant and visualized by the thin plate splines. Allometry explained shape variance in each case between 0.8% to 19.6%. The analysis demonstrated different allometric patterns for sexes in both foreand hind wings. Significant shape differences between wings of males and females were still remained after removing allometric effects. The variation that is not related to size could be attributed to specific behaviors such as flight speed and performance in each sex. However, specific experiments are needed to confirm the association of the wing shape variation expressed in this study with the flight traits.
Scientific Process Skills Scale Development for Preschool Children

Bu çalışma, Dr. Şule Kavak’ın Doç. Dr. Ebru Deretarla Gül danışmanlığında yürüttüğü STEM Eğitimine Dayalı Etkinliklerin Okul Öncesi Çocukların Temel Bilimsel Süreç Becerilerine Etkisi isimli doktora tezinden üretilmiştir. Atıf için: Kavak, Ş. & Deretarla Gül, E. (2021). Okul öncesi çocukları için bilimsel süreç becerileri ölçeği geliştirme çalışması. Kırşehir Eğitim Fakültesi Dergisi, 22(2), 1071-1099. http://kefad.ahievran. edu.tr Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi
Authentication and the Internet of Things: A Survey Based on a Systematic Mapping.

—The term Internet of Things (IoT) is used to describe many objects connected and communicating with each other. In this scenario, where different things share information in distinct environments, some security problems become evident. Among those issues, authentication is an important technique for ensuring a reliable and secure communication between objects in an IoT environment. This paper has mapped the current state of the authentication use in an IoT environment, highlighting the challenges and the main techniques used in authentication solutions.
Cognitive assessment and rehabilitation in virtual reality: theoretical review and practical implications

Virtual reality scenarios have been developed in order to assess cognitive functioning such as: memory, attention and executive function. Most scenarios replicate everyday situations like shopping activities, navigation through a park or a street, learning objects in an apartment or virtual office, or sitting and solving tasks in a classroom or apartment. Results of these studies support the use of virtual reality scenarios in neurocognitive assessment. Virtual scenarios that are used in cognitive training include a wide range of contexts from everyday life such as: a store, a kitchen, a city, as well as exercises like touching a ball on a screen for movement coordination, collecting a coconut and positioning it in a basket. Overall, virtual reality-based assessment or rehabilitation tools seem to be valid, reliable and efficient with an increased level of ecological validity.