Miracle-dz/UniFAR-FTUs huggingface dataset:
A new scale in the bias expansion

The fact that the spatial nonlocality of galaxy formation is controlled by some short length scale like the Lagrangian radius is the cornerstone of the bias expansion for large-scale-structure tracers. However, the first sources of ionizing radiation between z≈ 15 and z≈ 6 are expected to have significant effects on the formation of galaxies we observe at lower redshift, at least on low-mass galaxies. These radiative-transfer effects introduce a new scale in the clustering of galaxies, i.e. the finite distance which ionizing radiation travels until it reaches a given galaxy. This mean free path can be very large, of order 100 h−1 Mpc. Consequently, higher-derivative terms in the bias expansion could turn out to be non-negligible even on these scales: treating them perturbatively would lead to a massive loss in predictivity and, for example, could spoil the determination of the BAO feature or constraints on the neutrino mass. Here, we investigate under what assumptions an explicit non-perturbative model of radiative-transfer effects can maintain the robustness of large-scale galaxy clustering as a cosmological probe.
Keefektifan Model Pembelajaran Conceptual Chang Text dalam Mencegah Miskonsepsi Siswa pada Materi Larutan Penyangga

The low interest in learning chemistry is because there are still some students who have different conceptions, resulting in misconceptions. This study aims to determine the level of students' misconceptions about the buffer solution material in the experimental class and control class and the effectiveness of the conceptual change text (CCT) learning model in preventing students' misconceptions about the buffer solution material at SMAN 1 Seulimeum. The method used in this study is a quasi-experimental designed with a posttest only control group design. The sample selection technique was determined with certain considerations because there were only two classes in class XI IPA, so the two classes were used as samples in this study. So the research sample taken was class XI IPA1 and XI IPA2, totaling 30 and 34 students. The instrument used is in the form of multiple-choice diagnostic test questions. The data analysis technique used four tier. The results showed that the level of students' misconceptions on the buffer solution material in the experimental class and control class before applying the learning treatment obtained an average percentage of 31.18 and 31.33. The effectiveness of the CCT learning model can prevent students' misconceptions about the buffer solution material. The results of data analysis prove that after applying the CCT model students' misconceptions decreased with the misconception score only reaching 2.65. The results of the study can be concluded that the CCT model can prevent misconceptions better than the conventional learning model through the direct instruction model
Reconciling Conflict of Interest in the Management of Forest Restoration Ecosystem: A Strategy to Incorporate Different Interests of Stakeholders in the Utilization of Harapan Rainforest, Jambi, Indonesia

Harapan Rainforest is the only remaining lowland rainforest in the Sumatera Island, Indonesia, that the Ministry of Forestry has designated for the restoration of lowland rainforest ecosystems. In Harapan Rainforest, several stakeholders are interested in using the forest for several things. For example, the local community uses the forestland for their oil palm plantation, while PT REKI as forest manager uses forest for ecosystem restoration goals, causing a conflict of interest. This study analyzes the interest and influence of all-important stakeholders related to the utilization in the Harapan Rainforest. This study uses the stakeholder analysis method to analyze and categorize stakeholders’ different interests and influences in Harapan Rainforest utilization. The study found that three of eight stakeholders have a direct role in the utilization of the Harapan Rainforest. This study ends by giving an alternative strategy for considering policy options and a win-win solution that prioritizes all stakeholders’ interests. This study concludes that the utilization of the Harapan Rainforest should be conducted with multiple-use forest management both for production and rehabilitation.
Lower bounds for fundamental geometric problems

We develop lower bounds on the number of primitive operations required to solve several fundamental problems in computational geometry. For example, given a set of points in the plane, are any three colinear? Given a set of points and lines, does any point lie on a line? These and similar questions arise as subproblems or special cases of a large number of more complicated geometric problems, including point location, range searching, motion planning, collision detection, ray shooting, and hidden surface removal. Previously these problems were studied only in general models of computation, but known techniques for these models are too weak to prove useful results. Our approach is to consider, for each problem, a more specialized model of computation that is still rich enough to describe all known algorithms for that problem. Thus, our results formally demonstrate inherent limitations of current algorithmic techniques. Our lower bounds dramatically improve previously known results and in most cases match known upper bounds, at least up to polylogarithmic factors. In the first part of the thesis, we develop lower bounds for several degeneracy-detection problems, using adversary arguments. For example, we show that detecting colinear triples of points requires $\Omega(\eta\sp2$) sidedness queries in the worst case. Our lower bound follows from the construction of a set of points in general position with several "collapsible" triangles, any one of which can be made degenerate without changing the orientation of any other triangle. Using similar techniques, we prove lower bounds for deciding, given a set of points in $\IR\sp{\rm d}$, whether any d + 1 points lie on a hyperplane, whether any d + 2 points lie on a sphere, or whether the convex hull of the point is simplicial. In the second part, we consider offline range searching problems, which are usually solved using geometric divide-and-conquer techniques. To study these problems, we introduce the class of partitioning algorithms. We prove that any partitioning algorithm requires $\Omega(\eta\sp{4/3}$) time to detect point-line incidences in the worst case. Using similar techniques, we prove an $\Omega(\eta\sp{4/3}$) lower bound for deciding if a set of points lies entirely above a set of hyperplanes in dimensions five and higher.
Crack detection based on deep learning: a method for evaluating the object detection networks considering the random fractal of crack

The visual test for cracks is a tough work for human eyes. With the help of cameras, methods for object detection based on deep learning can detect the cracks automatically from digital images. However, an anomaly is observed that the models for crack detection are obviously underestimated by the widely used mean Average Precision (mAP) standard. In this study, by theoretical analyses about the topology of cracks, we attribute the failure of mAP standard to the random fractal feature. More deeply, this issue is due to the strict box matching during the calculation. To solve this problem, we construct a practical fractal-available evaluation method adopting the idea of covering box matching. Several metrics including Extended Recall (XR), Extended Precision (XP), and Extended F-score (Fext) are defined for scoring the crack detectors. Then, we conduct experiments on several mainstream models for object detection. Results show two advantages of the proposed evaluation method: (1) the proposed metrics evaluate cases better; (2) the proposed evaluation is non-maximum suppression-unrelated. Moreover, we present a case study to optimize a faster region-based convolutional neural networks model for crack detection adopting the proposed metrics. Recall (represented by the XR) of our best model achieves an industrial-level at 95.8%. These results denote that the proposed evaluation method removes the obstacle in evaluating the methods for object detection for cracks, which show great potential for automatic industrial inspections.
Risk Factors of Female-Perpetrated Intimate Partner Violence among Hispanic Young Adults: Attachment Style, Emotional Dysregulation, and Negative Childhood Experiences

This paper examined whether risk factors commonly associated with intimate partner violence (IPV) are associated with female-perpetrated physical IPV and female physical IPV victimization among young Hispanic women. It also examined how emotion dysregulation, impulsivity, and attachment style exacerbated these relationships. Furthermore, it investigates how these associations differ by the type of self-reported physical violence against their romantic partner. Based on the participants′ self-reported physical violence, they were classified into one of four groups: nonviolent, victim-only, perpetrator-only, and bidirectionally violent. Bidirectional violence was by far the most common form of violence reported. Utilizing self-report data from 360 young Hispanic women, we used binary logistic regression to examine potential predictors of physical IPV perpetration and victimization for each group. Results demonstrated that women in the bidirectionally violent group reported the highest levels of perpetration and victimization. Parental violence victimization, witnessing interparental violence, insecure attachment styles, and emotional dysregulation predicted physical IPV perpetration and victimization. These findings emphasize the need for effective interventions that include both members of the dyad and acknowledge the impact of women′s attachment style, emotion dysregulation, and adverse childhood experiences on female-perpetrated IPV and female IPV victimization.
TMMGdb - Tumor Metastasis Mechanism-associated Gene Database

At present, all or the majority of published databases report metastasis genes based on the concept of using cancer types or hallmarks of cancer/metastasis. Since tumor metastasis is a dynamic process and involves many cellular and molecular processes, those databases cannot provide information on the sequential relations, as well as cellular and molecular mechanisms among different metastasis stages. We incorporate the concept of tumor metastasis mechanism to construct a tumor metastasis mechanism-associated gene (TMMG) database based on using the metastasis mechanism concept. We utilized the text mining tool, BioBERT to mine the titles and abstracts of the papers and identify TMMGs. This tumor metastasis mechanism-associated gene database (TMMGdb) contains a wealth of annotations.To check the reliability of TMMGdb, we compared the proportions of housekeeping genes (HKGs) in TMMGdb, HCMDB, and CMgene, the results showed that around 20% of the TMMGs are HKGs, and the proportions are highly consistent among the three databases. Compared with the HCMDB and CMgene databases, TMMGdb is able to find a more recent (on or after 2017) collection of publications and TMMGs. We provided six case studies to illustrate the uniqueness of the TMMGdb database. TMMGdb is a comprehensive resource for the biomedical community to gain an in-depth understanding of the dynamic process, molecular features, and cellular processes involved in tumor metastasis. TMMGdb provides three interfaces; ‘Browse’, ‘Search’, and ‘Download’, for users to investigate the causal effects among different metastasis stages, the database is freely accessible at http://hmg.asia. edu.tw/TMMGdb.
The Selection Effects of Part-Time Work: Experimental Evidence from a Large-Scale Recruitment Drive

We implement a field experiment to examine how part-time work attracts applicants with different quality and productivity levels than full-time work. In a large-scale recruitment drive for a data-entry position in Ethiopia, either a part-time or fulltime job opportunity was randomly offered across villages. We find that the parttime work attracts a less qualified pool of applicants with a stronger preference for short work hours, who in turn exhibit lower productivity, all relative to the fulltime work. Our preferred estimates show that this selection effect on productivity may explain up to half of the typical part-time wage penalty. A simple conceptual framework demonstrates that a lack of high quality potential applicants with a strong preference for short work hours could explain the experimental evidence. The results have implications for the selection effects of alternative work arrangements and for the gender pay gap. JEL Codes: J22, J24, O15, M51
An approach to quantum gas microscopy of polar molecules

Ultracold polar molecules are an ideal platform for studying many-body physics with longrange dipolar interactions. Experiments in this field have progressed enormously, and several groups are pursuing advanced apparatus for manipulation of molecules with electric fields as well as single-atom-resolved in situ detection. Such detection has become ubiquitous for atoms in optical lattices and tweezer arrays, but has yet to be demonstrated for ultracold polar molecules. Here we present a proposal for the implementation of quantum gas microscopy for polar molecules, and specifically discuss a technique for spin-resolved molecular detection. We use numerical simulation of spin dynamics of lattice-confined polar molecules to show how such a scheme would be of utility in a spin-diffusion experiment. 1 ar X iv :1 71 2. 07 25 2v 1 [ ph ys ic s. at om -p h] 1 9 D ec 2 01 7
DEVELOPMENT OF ELECTRONIC TEACHING MATERIALS BASED ON ENRICHED VIRTUAL MODEL ON HUMAN RESPIRATORY SYSTEM MATERIALS TO IMPROVE STUDENT'S COGNITIVE ABILITY

This study aims to produce electronic teaching materials based on blended learning enriched virtual models that are valid, practical, and effective in improving students' cognitive abilities. This type of research is Research and Development (R&D). The subjects in this study were 15 students of class VIII junior high school. Two expert validators and one practitioner carry out validation to assess the product from the aspects of presentation, content, and language. Practicality is assessed based on the implementation of learning, student activities, and student responses to electronic teaching materials. Effectiveness is assessed based on THB. The study results obtained: (1) The design of electronic teaching material products discusses the structure and function of the organs of the human respiratory system equipped with images, audio, and video. (2) The validation of these electronic teaching materials obtained an average score of 93% (very valid). (3) The practicality test score from the learning implementation results obtained 100% (very good), the student activity score was 89.5% (very good), and the student response results obtained 95% (very good). (4) The effectiveness test results based on N-Gain analysis obtained an average score of 0.7 medium criteria. Thus, the electronic teaching materials developed are suitable for learning support to improve students' cognitive abilities in the human respiratory system material. The research implies that it can be of information for broader research.
Do Household Financial Behaviors affect Poverty in Indonesia?: Evidence from Indonesian Family Life Survey

Poverty is a multidimensional phenomenon that can be measured by variety of approaches. The measurements of poverty based on consumption levels are not sufficient to explain various shortcomings faced by the poor. Household financial behavior that tends to be dynamic will indirectly affect household income patterns. Using data from the Indonesian Family Life Survey (IFLS) wave 5, this study aimed to identify the impact of household financial behavior on poverty in Indonesia. The results of analysis using Tobit Regression showed that the levels of financial vulnerability, financial literacy, education level, arisan or the rotating economy of savings and credit associations (ROSCAs), and total credit have a negative, significant relationship in influencing poverty. This means that when this variable increases, it will reduce poverty in Indonesia. Meanwhile, the location of residence, either in village or city, has a positive, significant relationship which implies that the location of residence has an impact on the poverty level in Indonesia.
Quantitative Models in Marketing Research

Advances in data collection and data storage techniques have enabled marketing researchers to study the individual characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics. This 2001 book presents important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the methodological developments in the academic literature. Pathways are offered in the book for students and practitioners with differing numerical skill levels; a basic knowledge of elementary numerical techniques is assumed.
Water budgeting in major rabi crops under surface irrigation in Western Indo-Gangetic Plains

A water budget confers the relationship between input, output and changes in the amount of water at an individual farm level to the watershed level depending upon point of interest. Basic components of water budgets are precipitation, evapotranspiration, change in soil moisture storage, deep percolation and runoff. However, non-availability of water balance parameter is the main problem for achieving the more crop per drop. Therefore, the current study was undertaken at ICAR-Indian Agricultural Research Institute, New Delhi farm (Mid-block, MB) during rabi 2016-17 to study the water budget of different major rabi crops (wheat, mustard, chickpea) under surface irrigation. Water budget components like soil moisture were measured by gravimetric method periodically, and daily crop-evapotranspiration (ETc) and stage-wise effective rainfall (Pe) for the test crops were estimated using FAO-CROPWAT- 8.0 model. Irrigation scheduling was done on the basis of soil moisture depletion method and total volume of water applied measured through star flow meter. The total volume of irrigation water applied during the entire crop period was 337.75, 211.54 mm and 182.90 mm, for wheat, mustard and chickpea, respectively. The results revealed that both in late- and timely - sown mustard (MB-3A-1 and 3A-2), chickpea (MB-9-A) and wheat crops (MB-3A-3, 6-A and 12-A), the highest ETc was recorded during mid-season stage (i.e. 82.90, 79.50, 94.07, 126.04, 114.02, 132.61 mm, respectively). The deep- percolation losses varied from 29.3-31.8 % for sandy loam soil to 40.2-42.2 % for clay loam soil under different crops due to larger amount of irrigation water applied in clay soil. These water budgeting parameters are location and crop specific and so to be estimated for crops, seasons and regions.
Isotopic Diet Analysis of the Japanese Water Shrew Chimarrogale platycephala to Estimate Their Feeding Habits and the Usefulness of Body Hair Samples

Abstract. The water shrew Chimarrogale platycephala is an endangered species in Japan. Although immediate conservation actions are necessary, detailed information on this species is inadequate. We compared dietary trends obtained via C. platycephala digestive contents analysis with those through stable isotope analysis (δ13C, δ15N, ‰) of non-invasive body hair and invasive muscles to elucidate their diet and evaluate usefulness of the dietary stable isotope analysis. We captured 20 shrews from three streams in Aomori Prefecture from 2013 to 2016 barring snow accumulation seasons. The digestive contents analysis showed that water shrews mainly fed on aquatic insects, whereas freshwater crabs, fishes, and terrestrial insects were also observed as diets. δ13C values from the stable isotope analysis were not significantly different between muscles and body hair and indicated a primary diet of aquatic invertebrates and fishes. δ15N values were significantly lower in muscles and indicated a similar trophic position of water shrews to fishes. In the isotope mixing model, the contribution of terrestrial invertebrates was less than 0.35 except for two individuals that showed the highest terrestrial invertebrate ratio (> 0.5) and the lowest aquatic invertebrate ratio. This study also demonstrated that body hair from any part of the back was sufficiently useful for dietary stable isotope analysis.
From exoplanets to quasars: adventures in angular differential imaging

Angular differential imaging provides a novel way of probing the high contrast of our universe. Until now, its applications have been primarily localized to searching for exoplanets around nearby stars. This work presents a suite of applications of angular differential imaging from the theoretical underpinning of data reduction, to its use characterizing substellar objects to a new application looking for the host galaxies of damped Lyman {\alpha} systems, which are usually lost in the glare of ultra-bright quasars along the line of sight.
High-order-harmonic generation in atomic and molecular systems

High-order harmonic generation (HHG) results from strong-field laser matter interaction and it is one of the main processes that are used to extract electron structural and dynamical information about the atomic or molecular targets with sub-femtosecond temporal resolution. Moreover, it is the workhorse for the generation of attosecond pulses. Here we develop an analytical description of HHG, which extends the well established theoretical strong-field approximation (SFA). Our approach involves two innovative aspects: i) First, using a model non-local, but separable potential, we calculate the bound-free dipole and the rescattering transition matrix elements analytically for both atomic and molecular multicenter systems. In comparison with the standard approaches to the HHG process, these analytic derivations of the different matrix elements allows us to study directly how the HHG spectra depend on the atomic target and laser pulse features. We can turn on and of contributions having distinct physical origins or corresponding to different physical mechanisms. Our SFA results are compared, when possible, with the direct numerical integration of the time-dependent Schr\"odinger equation (TDSE) in reduced and full dimensionality. Excellent agreement is found for single and multielectronic atomic systems, modeled under the single active electron approximation, and for simple diatomic molecular systems. Our model captures also the interference features, ubiquitously present in every strong-field phenomenon involving a multicenter target.
Constraining the general reheating phase in the α-attractor inflationary cosmology

In this paper we constrain some aspects of the general postinflationary phase in the context of superconformal α-attractor models of inflation. In particular, we provide constraints on the duration of the reheating process, Nreh, and on the reheating temperature, Treh, simulating possible and future results given by the next generation of cosmological missions. Moreover, we stress what kinds of equation-of-state parameter, wreh, are favored for different scenarios. The analysis does not depend on the details of the reheating phase, and it is performed assuming different measurements of the tensor-to-scalar ratio r.