Miracle-dz/UniFAR-FTUs huggingface dataset:
Crisis and Income Distribution: A Micro-Macro Model for Indonesia

In this paper, a novel approach is implemented to quantify the effects on poverty and inequality of the financial crisis that hit Indonesia in 1997. It relies on the combination of a microsimulation model and a standard CGE model. These two models are used in a sequential fashion in order to simulate the impact of the crisis and to examine counterfactual policy scenarios. The CGE model is based on a Social Accounting Matrix with 38 sectors and 15 factors of production. It captures structural features of the economy, including binding macro constraints, and incorporates general equilibrium effects. The microsimulation model is based on a detailed representation of the real income generation mechanism at the household level. It captures household heterogeneity in terms of income sources, area of residence, demographic composition, endowment in human capital, and consumption preferences. It is based on a sub-sample of 9,800 households from the 1996 SUSENAS survey. This framework allows us to decompose the effects of the financial crisis as well as to compare the i of introducing alternative social policy packages during the crisis such as food subsidies, household transfers or public work programs.
Testing the role of intraguild predation in regulating hedgehog populations

Potential competitors that eat each other can engender patterns of spatial segregation similar to those produced by competition, and distinguishable only by field manipulation. This paper reports the results of a perturbation experiment to test the factors responsible for small-scale discontinuities in the distribution of a common insectivore. Populations of hedgehogs (Erinaceus europaeus) were monitored following their introductions into an area where they had been absent, and into a neighbouring area where they were known to persist. The two sites had a similar availability of preferred habitat, and the growth rates of introduced hedgehogs were similar. The density of badgers (Meles meles), larger members of the same guild, appears to produce differences in mortality and dispersal, which returned the populations close to their original levels within 2 months of the transplant.
Increased Leaf Size: Different Means to an End1[W][OA]

The final size of plant organs, such as leaves, is tightly controlled by environmental and genetic factors that must spatially and temporally coordinate cell expansion and cell cycle activity. However, this regulation of organ growth is still poorly understood. The aim of this study is to gain more insight into the genetic control of leaf size in Arabidopsis (Arabidopsis thaliana) by performing a comparative analysis of transgenic lines that produce enlarged leaves under standardized environmental conditions. To this end, we selected five genes belonging to different functional classes that all positively affect leaf size when overexpressed: AVP1, GRF5, JAW, BRI1, and GA20OX1. We show that the increase in leaf area in these lines depended on leaf position and growth conditions and that all five lines affected leaf size differently; however, in all cases, an increase in cell number was, entirely or predominantly, responsible for the leaf size enlargement. By analyzing hormone levels, transcriptome, and metabolome, we provide deeper insight into the molecular basis of the growth phenotype for the individual lines. A comparative analysis between these data sets indicates that enhanced organ growth is governed by different, seemingly independent pathways. The analysis of transgenic lines simultaneously overexpressing two growth-enhancing genes further supports the concept that multiple pathways independently converge on organ size control in Arabidopsis.
Analyzing Large Gene Expression and Methylation Data Profiles Using StatBicRM: Statistical Biclustering-Based Rule Mining

Microarray and beadchip are two most efficient techniques for measuring gene expression and methylation data in bioinformatics. Biclustering deals with the simultaneous clustering of genes and samples. In this article, we propose a computational rule mining framework, StatBicRM (i.e., statistical biclustering-based rule mining) to identify special type of rules and potential biomarkers using integrated approaches of statistical and binary inclusion-maximal biclustering techniques from the biological datasets. At first, a novel statistical strategy has been utilized to eliminate the insignificant/low-significant/redundant genes in such way that significance level must satisfy the data distribution property (viz., either normal distribution or non-normal distribution). The data is then discretized and post-discretized, consecutively. Thereafter, the biclustering technique is applied to identify maximal frequent closed homogeneous itemsets. Corresponding special type of rules are then extracted from the selected itemsets. Our proposed rule mining method performs better than the other rule mining algorithms as it generates maximal frequent closed homogeneous itemsets instead of frequent itemsets. Thus, it saves elapsed time, and can work on big dataset. Pathway and Gene Ontology analyses are conducted on the genes of the evolved rules using David database. Frequency analysis of the genes appearing in the evolved rules is performed to determine potential biomarkers. Furthermore, we also classify the data to know how much the evolved rules are able to describe accurately the remaining test (unknown) data. Subsequently, we also compare the average classification accuracy, and other related factors with other rule-based classifiers. Statistical significance tests are also performed for verifying the statistical relevance of the comparative results. Here, each of the other rule mining methods or rule-based classifiers is also starting with the same post-discretized data-matrix. Finally, we have also included the integrated analysis of gene expression and methylation for determining epigenetic effect (viz., effect of methylation) on gene expression level.
Direction-selective retinal ganglion cells arise from molecularly specified multipotential progenitors

Single progenitors can give rise to any and all of the main retinal cell types: photoreceptors, interneurons (horizontal, bipolar, and amacrine cells), retinal ganglion cells (RGCs), and glia. Many of these types are divisible into multiple functionally, structurally, and molecularly distinct subtypes (e.g., ∼25 for RGCs). It remains unknown when and how progenitors become committed to generate such subtypes. Here, we determine the origin of RGCs that respond selectively to vertical motion and express cadherin 6 (cdh6). Using Cre recombinase-based lineage tracing, we show that these RGCs arise from progenitors that themselves express cdh6. These progenitors are capable of generating all major retinal cell types, but the RGCs they generate are predominantly of the single direction-selective subtype. In contrast, cdh6-positive progenitors retain the ability to generate multiple subtypes of amacrine and bipolar cells. Our results demonstrate that type and subtype specification are regulated in different ways and suggest that multipotential but fate-restricted progenitors contribute to subtype specification in retina.
Restoring Attention in Pregnancy

The purpose of this quasi-experimental pretest-posttest study was to test whether regularly spending time in the natural environment would improve concentration for women in the third trimester of pregnancy, a time when women rely on their ability to concentrate in order to prepare for birth and parenting. Several measures requiring concentration were administered before an intervention that included spending 120 minutes each week in restorative activities involving nature. When posttest measures were collected, women in the intervention group had significantly fewer errors compared to the control group. Other measures did not reveal significant differences. These results suggest that encouraging women to spend time in activities that involve nature and designing health care environments to incorporate nature may help pregnant women improve their ability to concentrate and reduce errors at a time when they have many demands on their time and attention.
Winter Feeding Sites of Hay in Round Bales as Major Developmental Sites of Stomoxys calcitrans (Diptera: Muscidae) in Pastures in Spring and Summer

Abstract The stable fly, Stomoxys calcitrans (L.), historically has been a pest of livestock in confined operations but seldom of animals on pastures or rangelands. In the past two decades, however, S. calcitrans has become a major pest of cattle and horses on pastures in the midwestern United States. Although there usually is an overabundance of diverse stable fly and house fly, Musca domestica L. , larval habitats in confined livestock operations, no larval habitat for stable flies has been clearly identified in the pasture–range environment. Because the winter feeding of hay in round bales results in significant amounts of hay wastage that when mixed with manure, might develop into suitable larval habitats, this study evaluated these areas as developmental sites for the abundant stable flies in pastures. There was a trend for fly traps placed in the vicinity of hay feeding sites to catch more stable flies than those placed distant from these sites. Estimates of stable flies emerging from these sites ranged from 102 to 1225 flies per core sample (25 by 25 cm). The mean number of adult stable flies during May and June 2001 through 2004 correlated negatively with the average minimum temperatures during the preceding winter (November–February) but not with rainfall or temperatures during the spring. These results support the hypothesis that winter feeding sites of hay in round bales are the main source of stable flies in pastures.
The Purposes, Practices, and Problems of Supermax Prisons

At least thirty-four American states in the late 1990s operated supermaximum security prisons or units, providing nearly 20,000 beds and accounting for 1.8 percent of the state prison population. Although conditions vary from state to state, many supermaxes subject inmates to nearly complete isolation and deprivation of sensory stimuli. Surprisingly little is known from research on who is sent to supermaxes, why, and for how long; the effects of supermaxes on security and conditions in other prisons; or the effects of supermax confinement on the mental conditions and social skills of inmates. Deleterious effects are likely to be especially acute for mentally ill and subnormal inmates. The recent proliferation of supermaxes appears premised on a belief that prison disorder is the product primarily of disruptive inmates rather than the characteristics of prison regimes; the best evidence suggests otherwise.
Side information-aided compressed sensing reconstruction via approximate message passing

In this paper, the side information (SI)-aided compressed sensing reconstruction is considered, where a sparse signal is observed via a noisy underdetermined linear system, and a SI is available during the reconstruction. We develop a SI-aided approximate message passing (SI-AMP) algorithm to solve the problem. Based on the corresponding state evolution formula, the asymptotic prediction performance and noise-sensitivity analysis of the scheme are derived. Simulation results are presented to verify the efficiency of the proposed method.
Local connectivity tests to identify wormholes in wireless networks

A wormhole attack places two radio transceivers connected by a high capacity link and retransmits wireless signals from one antenna at the other. This creates a set of shortcut paths in the network, and may attract a lot of traffic to the wormhole link. The link thus gains control of a large fraction of network traffic which opens the door for more dangerous attacks afterwards. In this paper we introduce a wormhole detection and removal algorithm based on local connectivity tests. The basic idea is that the neighborhood of a wormhole contains two sets of nodes corresponding to two sides of the wormhole. The distance between these two sets is small when using paths that pass through the wormhole link, but is large when only regular network paths are considered. Thus we remove a small neighborhood that will contain potential wormhole links and check if a slightly larger neighborhood falls apart to multiple connected components. To accommodate spatial and temporal unpredictability of wireless communication links we abstract the network connectivity as an arbitrary graph so that the method does not assume any idealistic models (such as unit disk graph model). The algorithm uses purely local connectivity information, handles multiple wormhole attacks and generalizes to wireless networks deployed in 3D. It does not suffer from typical limitations in previous work such as the requirements of special hardware, communication models, synchronization, node density etc. In simulations, our method is seen to beat the state of the art solutions, in particular for cases where previous solutions experience poor performance.
Supracondylar Humerus Fractures in Children: Comparison of Operative Treatment Methods

A retrospective analysis was performed of 87 children treated operatively for supracondylar humerus fractures by 18 different surgeons during a 6-year period. No patient suffered from compartment syndrome or Volkmann's ischemic contracture. Early postoperative fracture displacement occurred in four (7%) of 60 patients with Type III fractures, and in one (4%) of 23 patients with Type II fractures. Displacement occurred in one (2%) of 52 Type III fractures stabilized with crossed medial and lateral Kirschner wires, whereas displacement occurred in two (28%) of seven Type III fractures stabilized with lateral wires only. Thirty-four patients could be located for long-term followup; complete examination of both upper extremities was performed on these 34 patients at an average of 33 months postoperatively. The long-term results were excellent in 19 (56%), good in seven (21%), fair in one (3%), and poor in seven (21%) patients. Five additional patients were not available for followup at the time of the current study, but had followup of at least 6 months available. Of the 39 patients with followup of at least 6 months, five patients' fractures (13%) healed with coronal plane malalignment greater than 10° which resulted in gunstock deformity. There was no statistically significant relationship between treatment method and gunstock deformity. However, none of the patients with gunstock deformity had compromised activity because of the deformity, and all had full elbow extension and at least 130° elbow flexion.
Social Determinants of Health and Depression: A Preliminary Investigation from Rural China

Background In the last several years, research related to social determinants of health (SDH) has begun to resonate in the medical, behavioral, social and political sciences arena. The aim of the present study was to explore the relationship between SDH and depression, and to provide new evidences and clues for depression control and prevention. Methodology/Principal Findings This research was a cross-sectional survey executed door to door from October 2006 to April 2008, with a sample of 3,738 individuals aged 18 and older in rural China. The three variables of SDH were socioeconomic status (years of schooling and self-reported economic status of family), social cohesion and negative life events. Demographic variables and self-perceived physical health were taken as potential confounders. The cross-table analysis showed that variations in levels of depression were associated with variations in SDH, and logistic regression analysis confirmed the association even after adjusting for potential confounding variables. Conclusions Although there were some limitations, the current study provides initial evidence of the importance of SDH in depression. Findings indicate that social inequity and the role of policy action emphasized by SDH should be considered high priorities when addressing the issue of depression. In addition, cell-to-society and pill-to-policy approaches should be encouraged in the future.
Sharp Computational-Statistical Phase Transitions via Oracle Computational Model

We study the fundamental tradeoffs between computational tractability and statistical accuracy for a general family of hypothesis testing problems with combinatorial structures. Based upon an oracle model of computation, which captures the interactions between algorithms and data, we establish a general lower bound that explicitly connects the minimum testing risk under computational budget constraints with the intrinsic probabilistic and combinatorial structures of statistical problems. This lower bound mirrors the classical statistical lower bound by Le Cam (1986) and allows us to quantify the optimal statistical performance achievable given limited computational budgets in a systematic fashion. Under this unified framework, we sharply characterize the statistical-computational phase transition for two testing problems, namely, normal mean detection and sparse principal component detection. For normal mean detection, we consider two combinatorial structures, namely, sparse set and perfect matching. For these problems we identify significant gaps between the optimal statistical accuracy that is achievable under computational tractability constraints and the classical statistical lower bounds. Compared with existing works on computational lower bounds for statistical problems, which consider general polynomial-time algorithms on Turing machines, and rely on computational hardness hypotheses on problems like planted clique detection, we focus on the oracle computational model, which covers a broad range of popular algorithms, and do not rely on unproven hypotheses. Moreover, our result provides an intuitive and concrete interpretation for the intrinsic computational intractability of high-dimensional statistical problems. One byproduct of our result is a lower bound for a strict generalization of the matrix permanent problem, which is of independent interest.
Beyond intentionality: exploring creativity and resistance within a UK Immigration Removal Centre

Abstract This paper considers the place of creativity within UK Immigration Removal Centres (IRCs) as a way of developing understandings of resistance within these spaces. It draws upon empirical research undertaken within an IRC, to explore the role of improvised music-making between staff and detainees. This work arises out of a concern that framings of resistance within IRCs have been characterised by acts that intentionally challenge the particular manifestation of sovereign power within these sites, where non-citizens are incarcerated. This study interferes with the prevailing view that for an act to be considered resistance, it must be characterised by intent, and follows Foucault to argue that to resist something is to create something, as ‘inventive, as mobile’ as power itself. Consequently, this paper explores creativity as ‘poiesis’, drawing upon work by Agamben and Deleuze to explore the potentiality of improvised music within an IRC.
ultimodal meta-analysis of structural and functional brain changes in first pisode psychosis and the effects of antipsychotic medication

Structure and function in the human brain are closely related. At the onset of psychosis, brain imaging studies have identified robust changes in brain function and structure, but no data are available relating these two domains. After systematic literature searches, we included all available studies reporting whole-brain structural or cognitive functional imaging findings in first-episode (FEP) subjects in multimodal Signed Differential Mapping (SDM). Forty-three studies met the inclusion criteria. The structural database comprised 965 FEP subjects matched with 1040 controls whilst the functional cohort included irst episode psychosis unctional magnetic resonance imaging
From private violence to mass incarceration: thinking intersectionally about women, race, and social control

The structural and political dimensions of gender violence and mass incarceration are linked in multiple ways. The myriad causes and consequences of mass incarceration discussed herein call for increased attention to the interface between the dynamics that constitute race, gender, and class power, as well as to the way these dynamics converge and rearticulate themselves within institutional settings to manufacture social punishment and human suffering. Beyond addressing the convergences between private and public power that constitute the intersectional dimensions of social control, this Article addresses political failures within the antiracism and antiviolence movements that may contribute to the legitimacy of the contemporary punishment culture, both ideologically and materially. KW: Juvenile justice; Juvenile delinquency; Language: en
Vascular patterns in the heads of crocodilians: blood vessels and sites of thermal exchange

Extant crocodilians are a highly apomorphic archosaur clade that is ectothermic, yet often achieve large body sizes that can be subject to higher heat loads. Therefore, the anatomical and physiological roles that blood vessels play in crocodilian thermoregulation need further investigation to better understand how crocodilians establish and maintain cephalic temperatures and regulate neurosensory tissue temperatures during basking and normal activities. The cephalic vascular anatomy of extant crocodilians, particularly American alligator (Alligator mississippiensis) was investigated using a differential‐contrast, dual‐vascular injection technique and high resolution X‐ray micro‐computed tomography (μCT). Blood vessels were digitally isolated to create representations of vascular pathways. The specimens were then dissected to confirm CT results. Sites of thermal exchange, consisting of the oral, nasal, and orbital regions, were given special attention due to their role in evaporative cooling and cephalic thermoregulation in other diapsids. Blood vessels to and from sites of thermal exchange were studied to detect conserved vascular patterns and to assess their ability to deliver cooled blood to neurosensory tissues. Within the orbital region, both the arteries and veins demonstrated consistent branching patterns, with the supraorbital, infraorbital, and ophthalmotemporal vessels supplying and draining the orbit. The venous drainage of the orbital region showed connections to the dural sinuses via the orbital veins and cavernous sinus. The palatal region demonstrated a vast plexus that comprised both arteries and veins. The most direct route of venous drainage of the palatal plexus was through the palatomaxillary veins, essentially bypassing neurosensory tissues. Anastomotic connections with the nasal region, however, may provide an alternative route for palatal venous blood to reach neurosensory tissues. The nasal region in crocodilians is probably the most prominent site of thermal exchange, as it offers a substantial surface area and is completely surrounded by blood vessels. The venous drainage routes from the nasal region offer routes directly to the dural venous sinuses and the orbit, offering evidence of the potential to directly affect neurosensory tissue temperatures. The evolutionary history of crocodilians is complex, with large‐bodied, terrestrial, and possibly endothermic taxa that may have had to deal with thermal loads that likely provided the anatomical building‐blocks for such an extensive vascularization of sites of thermal exchange. A clear understanding of the physiological abilities and the role of blood vessels in the thermoregulation of crocodilians neurosensory tissues is not available but vascular anatomical patterns of crocodilian sites of thermal exchange indicate possible physiological abilities that may be more sophisticated than in other extant diapsids.