Miracle-dz/UniFAR-FTUs huggingface dataset:
StrokeStrip

When creating freeform drawings, artists routinely employ clusters of overdrawn strokes to convey intended, aggregate curves. The ability to algorithmically fit these intended curves to their corresponding clusters is central to many applications that use artist drawings as inputs. However, while human observers effortlessly envision the intended curves given stroke clusters as input, existing fitting algorithms lack robustness and frequently fail when presented with input stroke clusters with non-trivial geometry or topology. We present StrokeStrip, a new and robust method for fitting intended curves to vector-format stroke clusters. Our method generates fitting outputs consistent with viewer expectations across a vast range of input stroke cluster configurations. We observe that viewers perceive stroke clusters as continuous, varying-width strips whose paths are described by the intended curves. An arc length parameterization of these strips defines a natural mapping from a strip to its path. We recast the curve fitting problem as one of parameterizing the cluster strokes using a joint 1D parameterization that is the restriction of the natural arc length parameterization of this strip to the strokes in the cluster. We simultaneously compute the joint cluster parameterization and implicitly reconstruct the a priori unknown strip geometry by solving a variational problem using a discrete-continuous optimization framework. We use this parameterization to compute parametric aggregate curves whose shape reflects the geometric properties of the cluster strokes at the corresponding isovalues. We demonstrate StrokeStrip outputs to be significantly better aligned with observer preferences compared to those of prior art; in a perceptual study, viewers preferred our fitting outputs by a factor of 12:1 compared to alternatives. We further validate our algorithmic choices via a range of ablation studies; extend our framework to raster data; and illustrate applications that benefit from the parameterizations produced.
Prioritizing agriculture- related research and innovation for growth and poverty reduction in Rwanda

Agricultural research and development (R&D) has been found to be a powerful engine for poverty reduction worldwide. Based on experience in other countries, it seems likely that raising investment in agricultural from around 0.44 percent of agricultural GDP to the African Union target of 1 percent of agricultural GDP might increase agricultural productivity by around 50 percent. Such an increase in agricultural productivity could result in a decline in poverty of around 12 percentage points, from its current level of over 50 percent, with slightly larger poverty reduction gains for farmers than for other groups. For achieving such a goal, the allocation of research resources across commodities is an important question. If resources are allocated across commodities in line with their poverty-reduction impact, the poverty reduction gains are likely around twice as high as if they are allocated uniformly across commodities. In the specific context of Rwanda, it appears that allocating them in line with the value of output would give almost as large a gain as targeting their much-harder-to-evaluate poverty-reduction benefit. * International Food Policy Research Institute, ** International Growth Centre.
Reinforcement Learning for Contact-Rich Tasks: Robotic Peg Insertion Strategies

Vision and touch are especially important when doing contact-rich manipulation tasks in unstructured environments. It is non-trivial to manually design a robot controller that combines these modalities which have very different characteristics. In this project,to connect vision and touch, we ﬁrst equip robots with both visual and tactile sensors and collect a large-scale dataset of corresponding vision and tactile sequences. We use self-supervision to learn a compact and multimodal representation of our sensory inputs, which can then be used to improve the sample efﬁciency of our policy learning. We will train a policy in simulation environment using deep reinforcement learning algorithms.The learned policy is also transferable to handle real-world tasks. The peg insertion is chosen as the task for demonstration in this project. A preliminary version of our python implementation is available at: https://github.com/Henry1iu/ierg5350_rl_course_project . A video introducing our project is available at: https://mycuhk-my. sharepoint.com/:v:/g/personal/1155071948_link_cuhk_edu_hk/
Towards a Tool-based Approach for Microservice Antipatterns Identiﬁcation

Microservice architecture has become popular in the last few years because it allows the development of independent, reusable, and fine-grained services. However, a lack of understanding of its core concepts and the absence of reference or consensual definitions of its related concepts may lead to poorly designed solutions called antipatterns. The presence of microservice antipatterns may hinder the future maintenance and evolution of microservice-based systems. Assessing the quality of design of such systems through the detection of microservice antipatterns may ease their maintenance and evolution. Several research works studied patterns and antipatterns in the context of microservice-based systems. However, the automatic identification of these patterns and antipatterns is still at its infancy. We searched for re-engineering tools used to identify antipatterns in microservice-based systems in both academia and industry. The results of our search showed that there is no fully-automated identification approach in the literature. In this paper, we aim to reduce this gap by (1) introducing generic, comprehensive, and consensual definitions of antipatterns in microservice-based systems, and (2) presenting our approach to automatically identify these antipatterns. Currently, this work is still in progress and this paper aims to present the approach and the metamodel used for future implementation. Keywords–Microservices; Antipatterns; Identification.
Personified treatment and prevention of sexual developmental disorders in pubertal age girls with diffusive liver diseases

Diffuse liver disease can have a pronounced detrimental effect on the developing reproductive system. Hepatoprotection in gynecological practice is not so much in the choice of drugs that protect or restore the liver, as in the appointment of optimal safe therapy for this category of patients, especially in adolescence . The aim: to study the effectiveness of therapeutic and prophylactic drugs for disorders of the reproductive system in adolescent girls with diffuse liver disease. Material and methods. Under observation for the period 2010-2020 were 486 girls aged 12-17 years, of which 120 - with chronic viral hepatitis (CVH), 120 - with non-alcoholic fatty liver disease (NAFLD), 66 - with autoimmune hepatitis (AIH), 180 - conditionally somatically and gynecologically healthy girls with normal sexual development of the control group. All patients underwent general clinical, hepatological examination, determination of features of neuroendocrine status, sexual development. The author proposed a differentiated method of treatment and prevention measures to restore reproductive health in adolescents with chronic diffuse liver disease, which included the appointment of vitamin D, phytocompositions, vitamin-mineral complexes with myo-inositol, if necessary - hormonal hemostasis. Results. Against the background of improved neuroendocrine status in the examined girls there was a decrease in the number of cases of amenorrhea in the group with CVH from 5.00% to 0.00% (p<0.01), in the group of NAFLD - from 27.50% to 3.33% (OR 11.00 [3.757-32.207]), in the AIH group - from 13.64% to 0.00% (p<0.01); opsomenorrhea - from 24.17% to 2.50% (OR 12.43 [3,670-42,092]), from 67.50% to 7.50% (OR 25.62 [11.750-55.843]) and from 27. 27% to 6.06% (OR 5.81 [1.846-18.304]); oligomenorrhea - from 25.83% to 1.67% (OR 20.55 [4.791-88.152]), from 62.50% to 5.83% (OR 26.91 [11.52-62.83]) and from 27.27% to 4.55% (OR 7.88 [2.192-28.286]); juvenile uterine bleeding - from 18.33% to 1.67% (OR 13.25 [3.039-57.728]), from 10.00% to 0.00% (p<0.01) and from 9.09% to 0.00% (p<0.01); dysmenorrhea - from 38.33% to 12.50% (OR 4.20 [2.181-8.087]), from 14.17% to 5.00% (OR 3.14 [1.191-8.257]) and from 31.82 % to 13.64% (OR 2.96 [1.234-7.078]). Conclusions. The applied personalized treatment-and-prophylactic measures taking into account individual disorders of neuroendocrine status and menstrual health in adolescent girls with diffuse liver diseases are effective and allow to recommend this complex as a means of treatment and prevention of reproductive disorders.
Perceived Physical Literacy Scale for Adolescents ( PPLSA ) : Validity and Reliability Study

The aim of this study is to adapt the “Perceived Physical Literacy Scale for Adolescents” into Turkish version. The research was designed with the descriptive survey model. Research data were obtained from a total of 585 participants aged between 12 and 19 years. The research was carried out with data obtained from four different study groups in 2019. In the study, language validity was performed with 20, Explanatory Factor Analysis (EFA) 218, Confirmatory Factor Analysis (CFA) 300, and reliability (test-retest) analysis with data from 47 participants. AFA and CFA were made to test the construct validity. Pearson Correlation Analysis was used to determine the relationship between factors. For item discrimination, item test correlation and 27% lower-upper group comparison were determined. Convergent and divergent validity analysis were made. Cronbach’s Alpha and test-retest analysis were used within the scope of reliability analysis. As a result of EFA, a structure with 3 factors and 9 items was determined. This structure has been verified by CFA. One-dimensional and three-dimensional models were tested for the scale structure, and it was determined that the fit indices of the 3-dimensional pattern were more significant. A positive significant relationship was found between physical literacy, which is a measured feature in the scale, and its sub-dimensions. Reliability analysis results showed that the measuring tool can measure reliably. Descriptive analysis (mean, standard deviation) showed that the perceived physical literacy scale for adolescents is high in general and in its sub-dimensions. Analyzes conducted within the context of the construct validity of the measuring tool show that the perceived physical literacy scale for adolescents is a valid and reliable instrument that can measure. Measurement tool is important in determining the physical literacy of adolescents. Specialists working in the field of physical education and sports can provide the necessary support with appropriate intervention programs in line with the determinants of the physical literacy of adolescents.
Validating a semi-quantitative method for assessment of degree of methylene blue staining in sentinel lymph nodes

Purpose: To develop a digital algorithm and validate a semi-quantitative scoring method for surface methylene blue (MB) staining in whole lymph nodes (LN). Methods: Lymph nodes from canine models undergoing sentinel lymph node (SLN) mapping were prospectively assessed ex vivo and photographed. Two blinded observers evaluated all images and assigned a score based on surface staining (0 – no blue stain, 1 – 1-50% stained, 2 – 51-100% stained). A standard reference for degree of blue staining was based on signal-tobackground ratios using computer-based imaging software with an output measurement of percentage of staining of the LN. Agreement between observers was assessed using the Kappa coefficient. Results: 124 lymph nodes were included and demonstrated strong agreement (K = 0.8007, p < 0.0001) between results of semi-quantitative scoring and image analysis. Also, strong interobserver and intraobserver agreement was observed for the scoring system (K = 0.8051, p < 0.0001 and K = 0.9493, p < 0.0001, respectively). Discussion: Agreement between scoring system and imaging software illustrates a validated method in assessing MB staining, without the need for analysis software. The use of a semiquantitative scoring system shows promise for a simple, objective assessment of MB staining in surgery and for future study. Lymph nodes can have variable surface colour, which can make assessment of blue staining challenging for novice observers in certain cases. This study describes a digital algorithm for quantitative analysis of blue staining in LN thereby providing a novel and objective reporting mechanism in scientific research involving SLN mapping.
How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD Countries

1. Address: Mandy Boehnke, Institute for Empirical and Applied Sociology, University of Bremen, Celsiusstrasse, D-28359 Bremen, Germany. Phone: +49-421-21867346. E-mail: boehnke@empas.uni-bremen.de URL: www.tess. uni-bremen.de 2. Address: Michael Feldhaus. E-mail: feldhaus@empas.uni-bremen.de How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD Countries
Dynophores: Novel Dynamic Pharmacophores-Implementation of Pharmacophore Generation Based on Molecular Dynamics Trajectories and Their Graphical Representation

In medicinal chemistry and drug discovery, pharmacophore modelling has become a well established method for molecular design. A 3D pharmacophore model represents the ensemble of universal steric and chemical features that stand for a speciﬁc mode of binding. Currently, these pharmacophores are created from a multi-conformational ligand set (ligand-based drug design) or from a ligand-target complex (structure-based drug design). However, classical pharmacophore models only allow a static view on a single ligand-target conformation. The aim of the presented study was to develop pharmacophore models that represent conformational ﬂexibility derived from molecular dynamics (MD) simulations. Therefore, pharmacophore features from the MD trajectory frames are grouped into so-called superfeatures by their feature type and involved atoms on ligand-site. Subsequently, these superfeatures and their environmental interaction partners are statistically and sequentially analysed in terms of their occurrence and interaction distance. These dynamic pharmacophores are termed dynophores , and graphically represented as feature point clouds for superfeature space analysis. Dynophores potentially enhance the predictive power of 3D pharmacophores, and serve as powerful analysis and validation tool for the evaluation of pharmacophores, ligand-target interaction patterns and MD simulations. Dynophore generation and analysis were implemented as DynophoreApp program within the ilib/LigandScout framework, a Java-based software for in silico drug discovery.
Journal of International Women's Studies Journal of International Women's Studies

Of the many women that are a part of the Informational Technology (IT) workforce, very few make it to senior roles. Occupational commitment measured as affective (AC), normative (NC), and continuance (CC) as well as career satisfaction (CS) are considered to be crucial in understanding this pattern of women not making it to senior roles. AC explains one's emotional attachment to their career, NC is the obligation to stay the course in a career, and CC explains the opportunity cost to transfer from one career to the next. This study aims to understand the role of individual determinants (career identity, career adaptability) and occupational culture fit (the concept of screening potential candidates that is focused on aligning employees and employers with shared values, beliefs, and attitudes). This study also focuses on forms of organizational support (managerial support, job autonomy) that either act as enablers or barriers to sustaining commitment and satisfaction in IT occupations. Data collected from 200 IT women with at least 5 years of experience working in top 20 NASCOM companies were regressed to test the hypotheses. The result indicated that women with high scores in occupational culture (i.e., greater congruence with IT occupational demands) show higher career satisfaction (CS), affective commitment (AC), and normative commitment (NC). This indicates that there is a chance for organizations to actively improve women’s occupational demand of long, late, and erratic work schedules by looking at their safety and providing flexi-timing to help them manage a work-life balance. A performance evaluation system that focuses on results, rather than hours of effort, and that allows women flexibility to attend to certain late-night commitments at home could go a long way in helping them achieve a better culture fit. Women with strong career identities show higher AC and CC. Women that have high career identities are intrinsically motivated and place a high value on their work; hence, they continuously seek skill improvement opportunities. Employers can utilize this knowledge to proactively identify female employees with high career identities early in their professional journey then engage them in tasks that are meaningful and aligned with their interests and values. Further, results indicated that job autonomy—a person's ability to have an influence over what happens in their work environment, in particular, the ability to influence matters that are relevant to their personal goals—led to higher CC; higher managerial support leads to career satisfaction, thereby indicating that managers can provide support by providing a participative decision-making mechanism and flexible timing for better work-life balance.
The Use of Vertical Representation in Students’ Science Book on Matter Particles Topic and Its Impact on Students’ HOTS and Visual Literacy

This study aimed to identify the use of vertical representation presented in students’ science book in explaining scientific concepts, theories, and phenomena on matter particles and its impact on students’ HOTS and visual literacy. The method used in this study is quantitatively descriptive method. The samples of this study were one hundred students in ten senior high schools in the city of Bandar Lampung and Central Lampung District. The data collection used questionnaire and students’ science book assessment sheet. The questionnaire was used to know the usage of students learning materials. Students’ science book assessment sheet was used to know the type of vertical representation on science book and determined its impact on HOTS and visual literacy achievement based on evaluation and students’ activities on the book. The result showed that the teaching materials most widely used by student was students’ science book of 2013 curriculum published by Indonesia’ ministry of education and culture in 2018 which in the very high category (96%). The type of vertical representation that was mostly presented in matter particles topic in the science book was symbolic level which in a very high category (82.22%), while the macro level and sub micro level were in the very low category. The percentage of evaluation and student activities on the science book which accordance with HOTS indicators was in the low category (26.08%), while in accordance with visual literacy indicators was in the very low category (15.21%). KEYWORDS Vertical representation, HOTS, visual literacy
Locally interpolated alkalinity regression for global alkalinity estimation

We introduce methods and software for estimating total seawater alkalinity from salinity and any combination of up to four other parameters (potential temperature, apparent oxygen utilization, total dissolved nitrate, and total silicate). The methods return estimates anywhere in the global ocean with comparable accuracy to other published alkalinity estimation techniques. The software interpolates between a predetermined grid of coefficients for linear regressions onto arbitrary latitude, longitude, and depth coordinates, and thereby avoids the estimate discontinuities many similar methods return when transitioning from one regression constant set to another. The software can also return uncertainty estimates scaled by user‐provided input parameter uncertainties. The methods have been optimized for the open ocean, for which we estimate globally averaged errors of 5.8–10.4 μmol kg−1 depending on which combination of regression parameters is used. We expect these methods to be especially useful for better constraining the carbonate system from measurement platforms—such as biogeochemical Argo floats—that are only capable of measuring one carbonate system parameter (e.g., pH). It may also provide a useful way of simulating alkalinity for Earth system models that do not resolve the tracer prognostically.
Changes in Walleye Fecundity and Egg Size Before, During, and After Rehabilitation of the Red Lakes Fishery

The Red Lakes in northern Minnesota experienced a major Walleye Sander vitreus fishery crash in the late 20 century, but has since recovered to record abundances and supports a major commercial and recreational fishery. Fecundity is an integral aspect of recruitment that can contribute greatly to the understanding of fishery population dynamics. To elucidate the effects of varying Walleye densities and exploitation rates on fecundity and egg size in years 1989 (overexploited fishery), 2004 (recovering fishery), and 2017 (recovered fishery), we analyzed linear models that related fecundity or egg size to morphological features for these three sampling periods. Walleyes were collected spring 2004 (n=30) and 2017 (n=30) in the Tamarac River. Fecundity data from 1989 were provided by Bushong (1990). Fecundity was higher in 2004 and 1989 than in 2017. Egg size was significantly greater in 2017 than in 1989. Considerable distinctions in Walleye size at spawn existed between all sampling years. Variance in fecundity as well as egg and fish size between fishery status scenarios is likely attributable to varying exploitation rates and related Walleye densities; these two factors were shown to be good predictor variables. Models incorporating fishery status were developed and for certain management applications, these models could provide a higher degree of selectivity and estimation accuracy for fishery managers.
Online Feature Selection for Semantic Image Segmentation

In this project, we classify each pixel from the incoming stream of aerial imagery of water bodies as either “land” or “water” in real-time. Traditional batch feature processing techniques can be too slow to adapt to real-time changes. This paper proposes an online distributed framework for Semantic Segmentation using conditional independence to discard irrelevant and redundant features to train a fast and lightweight but accurate machine learning model. Through extensive experimental results using aerial imagery of water bodies, we demonstrate that our approach is faster than existing online feature selection methods while maintaining