Miracle-dz/UniFAR-FTUs huggingface dataset:
Growth of the cranial vault in rabbits with congenital coronal suture synostosis.

Craniofacial growth data from craniosynostotic children have shown that suture immobilization results in predictable restrictions of cranial vault growth in a direction perpendicular to the affected suture and compensatory growth at sutures perpendicular to the affected one. This study tests these predictions by using rabbits with nonsyndromic congenital coronal suture synostosis. Data were collected from 96 rabbits divided into three groups: 42 unaffected litter mate controls, 33 partially synostosed rabbits, and 21 completely synostosed rabbits. Markers were placed bilaterally on either side of the vault sutures at 1.5 weeks of age. Serial radiographs were taken at 1.5, 6, 12, and 18 weeks of age for assessment of growth at the vault sutures and of various cranial landmarks. Results revealed that completely synostosed animals had significantly (p < .05) shorter cranial vaults, reduced growth at the coronal suture, and increased growth at the sagittal, frontal, and squamosal sutures compared with unaffected rabbits. Results also showed that the calvarial growth observed in this craniosynostotic rabbit model closely reflects predicted compensatory patterns seen in human clinical populations and that this rabbit model is valuable for understanding the pathogeneses and craniofacial growth patterns of humans with premature cranial suture synostosis.
Comparative Analysis of Satellite DNA in the Drosophila melanogaster Species Complex

Satellite DNAs are highly repetitive sequences that account for the majority of constitutive heterochromatin in many eukaryotic genomes. It is widely recognized that sequences and locations of satellite DNAs are highly divergent even in closely related species, contributing to the hypothesis that satellite DNA differences may underlie speciation. However, due to its repetitive nature, the mapping of satellite DNAs has been mostly left out of recent genomics analyses, hampering the use of molecular genetics techniques to better understand their role in speciation and evolution. Satellite DNAs are most extensively and comprehensively mapped in Drosophila melanogaster, a species that is also an excellent model system with which to study speciation. Yet the lack of comprehensive knowledge regarding satellite DNA identity and location in its sibling species (D. simulans, D. mauritiana, and D. sechellia) has prevented the full utilization of D. melanogaster in studying speciation. To overcome this problem, we initiated the mapping of satellite DNAs on the genomes of the D. melanogaster species complex (D. melanogaster, D. simulans, D. mauritiana, and D. sechellia) using multi-color fluorescent in situ hybridization (FISH) probes. Our study confirms a striking divergence of satellite DNAs in the D. melanogaster species complex, even among the closely related species of the D. simulans clade (D. simulans, D. mauritiana, and D. sechellia), and suggests the presence of unidentified satellite sequences in these species.
Inferential Theory of Learning: Developing Foundations for Multistrategy Learning

The development of multistrategy learning systems requires a clear understanding of the roles and the applicability conditions of different learning strategies. To this end, this chapter introduces the Inferential Theory of Learning that provides a conceptual framework for explaining logical capabilities of learning strategies, i.e., their competence. V iewing learning as a process of modifying the learner’s knowledge by exploring the learner’s experience, the theory postulates that any such process can be described as a search in a knowledge space, which involves the learner’s experience, pior knowledge and the learning goal . The search operators are instantiations of knowledge transmutations, which are generic patterns of knowledge change. Transmutations may employ any basic type of inference — deduction, induction or analogy. Several fundamental knowledg e transmutations are described in a novel and general way, such as generalization, abstraction, explanation and similization, and their counterparts, specialization, concretion, prediction and dissimilization, respectively. Generalization enlarges the reference set of a description (the set of entities that are being described). Abstraction reduces the amount of the detail about the reference set. Explanation generates premises that explain (or imply) the given properties of the reference set. Similization transfers knowledge from one reference set to a similar reference set. Using concepts of the theory, a multistrategy task-adaptive learning (MTL) methodology is outlined, and illustrated by an example. MTL dynamically adapts strategies to the learning task , defined by the input information, learner’s background knowledge, and the learning goal. The goal of MTL research is to synergistically integrate a wide range of inferential learning strategies, such as empirical generalization, constructive induction, deductive generalization, explanation, prediction, abstraction, and similization.
A Multiscale Approach for the Characterization and Crystallization of Eflucimibe Polymorphs: from Molecules to Particles

We present in this paper a generic multiscale methodology for the characterization and crystallization of eflucimibe polymorphs. The various characterization techniques used have shown that eflucimibe polymorphism is due to a conformational change of the molecule in the crystal lattice. In addition, the two polymorphs are monotropically related in the temperature range tested and have similar structures and properties (ie. interfacial tension and solubility). Consequently, it was found that for a wide range of operating conditions, the polymorphs may crystallize concomitantly. Induction time measurements and metstable zone width determination allow to infer the origin of the concomitant appearance of the polymorphs. A predominance diagram has been established which allows to perfectly control the crystallization of the desired polymorph. However, even if the stable form can be produced in a reliable way, the crystal suspension went toward a very structured gel-like network which limits the extrapolation process. Based on microscopic observation of the crystallization events performed in a microfluidic crystallizer, we propose a range of operating conditions suitable for the production of the stable form with the desired handling properties.
The errors, insights and lessons of famous AI predictions – and what they mean for the future

Predicting the development of artificial intelligence (AI) is a difficult project – but a vital one, according to some analysts. AI predictions are already abound: but are they reliable? This paper starts by proposing a decomposition schema for classifying them. Then it constructs a variety of theoretical tools for analysing, judging and improving them. These tools are demonstrated by careful analysis of five famous AI predictions: the initial Dartmouth conference, Dreyfus's criticism of AI, Searle's Chinese room paper, Kurzweil's predictions in the Age of Spiritual Machines, and Omohundro's ‘AI drives’ paper. These case studies illustrate several important principles, such as the general overconfidence of experts, the superiority of models over expert judgement and the need for greater uncertainty in all types of predictions. The general reliability of expert judgement in AI timeline predictions is shown to be poor, a result that fits in with previous studies of expert competence.
Estimating the Biases Associated with Self-Perceived, Self-Reported, and Measured BMI on Mental Health

Purpose The purpose of the study is to explore the relationship between individuals' perceptions of their weight-status, self-reported height and weight, and measured weight status. Methods A national survey of 9,248 adolescents (47% male) between the ages of 11 and 27 is analyzed to determine whether inaccuracies in reporting are caused by misperception or conscious intent, and whether there tends to be a systematic bias in how individuals self-report. Self-esteem was used as an example of an important outcome variable in order to illustrate the magnitudes of the biases that may arise when using different measures of body size. Results Our results indicate that measured obesity status is associated with the reduction in Rosenberg Self-Esteem (RSE) of 0.30 points (p-value 0.005) among adolescents and 0.20 points (p-value 0.002) among young adults; in addition, using self-reported height and weight as opposed to measured height and weight does not result in a statistically detectable difference in the estimates. Conclusions Individuals' self-reports of height and weight are not as unreliable as we might have expected. Although estimates from measured height and weight are preferred, in the absence of such measures, self-reported measures would likely be a reliable alternative. The differences in self-perception of weight status, however, imply that it is not comparable to measured weight categories.
Correlation between MMI performance and OSCE performance – a pilot study

Objective The multiple mini-interview (MMI) has been shown to have a positive correlation with early medical school performance, clerkship evaluations, and national licensing examinations. There is limited data on its predictive validity at the postgraduate level. Methods Six hundred and nineteen internship candidates were interviewed using the MMI format by the internal medicine residency program of The Reading Health System, between September 2011 and February 2014. Fifty-two interns were recruited. Each intern participated in an objective structured clinical examination (OSCE) 3–4 months after the start of the program. The OSCE score of each intern was used as the independent variable to test the relationship with both the MMI interpersonal score and the MMI overall score. Results There was a moderate positive correlation between the average MMI interpersonal score and the communication score on the OSCE, r=0.384, n=52, p=0.005, and a negligible relationship between the average MMI overall score and the communication score on the OSCE, r=0.175, n=52, p=0.214. Conclusion The MMI is a useful tool for residency programs to assess interpersonal and communication skills prior to matriculation into residency training. This study provides evidence for its validity in assessing these competencies.
Periodic Fever, Aphthous Stomatitis, Pharyngitis and Cervical Adenitis (PFAPA) Syndrome in Iranian Children First Report of Iranian Periodic Fever and Autoinflammatory Registry (IPFAIR)

Objective: The periodic fever, aphthous stomatitis, pharyngitis and cervical adenitis (PFAPA) syndrome is a nonhereditary idiopathic febrile syndrome belonging to the group of autoinflammatory diseases. No longtime sequel was reported in this disease. Early diagnosis can lead physicians to treatment of this disorder with a short course steroid application and provide satisfaction of the patient’s family. Methods: This study is a prospective review of patients diagnosed with PFAPA syndrome who were registered in Iranian Periodic Fever and Autoinflammatory Registry (IPFAIR) through periodic fever clinic in the Children's Medical Center, Pediatric Center of Excellence in Tehran, Iran from January 2013 to March 2014. Findings: One hundred thirty patients were registered in our databases. Twenty-one (16.1%) patients including 15 males and 6 females had PFAPA. Normal growth was seen in all patients. The median age at onset was 18 months. The mean duration of fever was 4 days and the mean duration of intervals between fever episodes 21 days. Along with fever, all patients had characteristic symptoms. All patients were asymptomatic between fever episodes. Steroid was used in all patients and causing immediate reduction by 84.61%. Two patients received both steroid and colchicine because of their clinical feature and positive laboratory tests for PFAPA and familial Mediterranean fever. No patient received biological therapy or a tonsillectomy. Conclusion: The long diagnostic delay of PFAPA gives cause to concern indicating a need for greater awareness of the disease so that the diagnosis may be made timely.
Biophysical Analysis of Apolipoprotein E3 Variants Linked with Development of Type III Hyperlipoproteinemia

Background Apolipoprotein E (apoE) is a major protein of the lipoprotein transport system that plays important roles in lipid homeostasis and protection from atherosclerosis. ApoE is characterized by structural plasticity and thermodynamic instability and can undergo significant structural rearrangements as part of its biological function. Mutations in the 136–150 region of the N-terminal domain of apoE, reduce its low density lipoprotein (LDL) receptor binding capacity and have been linked with lipoprotein disorders, such as type III hyperlipoproteinemia (HLP) in humans. However, the LDL-receptor binding defects for these apoE variants do not correlate well with the severity of dyslipidemia, indicating that these variants may carry additional properties that contribute to their pathogenic potential. Methodology/Principal Findings In this study we examined whether three type III HLP predisposing apoE3 variants, namely R136S, R145C and K146E affect the biophysical properties of the protein. Circular dichroism (CD) spectroscopy revealed that these mutations do not significantly alter the secondary structure of the protein. Thermal and chemical unfolding analysis revealed small thermodynamic alterations in each variant compared to wild-type apoE3, as well as effects in the reversibility of the unfolding transition. All variants were able to remodel multillamelar 1,2-Dimyristoyl-sn-glycero-3-phosphocholine (DMPC) vesicles, but R136S and R145C had reduced kinetics. Dynamic light scattering analysis indicated that the variant R136S exists in a higher-order oligomerization state in solution. Finally, 1-anilinonaphthalene-8-sulfonic acid (ANS) binding suggested that the variant R145C exposes a larger amount of hydrophobic surface to the solvent. Conclusions/Significance Overall, our findings suggest that single amino acid changes in the functionally important region 136–150 of apoE3 can affect the molecule's stability and conformation in solution and may underlie functional consequences. However, the magnitude and the non-concerted nature of these changes, make it unlikely that they constitute a distinct unifying mechanism leading to type III HLP pathogenesis.
A Cross-Species Analysis in Pancreatic Neuroendocrine Tumors Reveals Molecular Subtypes with Distinctive Clinical, Metastatic, Developmental, and Metabolic Characteristics.

UNLABELLED Seeking to assess the representative and instructive value of an engineered mouse model of pancreatic neuroendocrine tumors (PanNET) for its cognate human cancer, we profiled and compared mRNA and miRNA transcriptomes of tumors from both. Mouse PanNET tumors could be classified into two distinctive subtypes, well-differentiated islet/insulinoma tumors (IT) and poorly differentiated tumors associated with liver metastases, dubbed metastasis-like primary (MLP). Human PanNETs were independently classified into these same two subtypes, along with a third, specific gene mutation-enriched subtype. The MLP subtypes in human and mouse were similar to liver metastases in terms of miRNA and mRNA transcriptome profiles and signature genes. The human/mouse MLP subtypes also similarly expressed genes known to regulate early pancreas development, whereas the IT subtypes expressed genes characteristic of mature islet cells, suggesting different tumorigenesis pathways. In addition, these subtypes exhibit distinct metabolic profiles marked by differential pyruvate metabolism, substantiating the significance of their separate identities. SIGNIFICANCE This study involves a comprehensive cross-species integrated analysis of multi-omics profiles and histology to stratify PanNETs into subtypes with distinctive characteristics. We provide support for the RIP1-TAG2 mouse model as representative of its cognate human cancer with prospects to better understand PanNET heterogeneity and consider future applications of personalized cancer therapy.
Predicting self-reported research misconduct and questionable research practices in university students using an augmented Theory of Planned Behavior

This study examined the utility of the Theory of Planned Behavior model, augmented by descriptive norms and justifications, for predicting self-reported research misconduct and questionable research practices in university students. A convenience sample of 205 research active Western Australian university students (47 male, 158 female, ages 18–53 years, M = 22, SD = 4.78) completed an online survey. There was a low level of engagement in research misconduct, with approximately one in seven students reporting data fabrication and one in eight data falsification. Path analysis and model testing in LISREL supported a parsimonious two step mediation model, providing good fit to the data. After controlling for social desirability, the effect of attitudes, subjective norms, descriptive norms and perceived behavioral control on student engagement in research misconduct and questionable research practices was mediated by justifications and then intention. This revised augmented model accounted for a substantial 40.8% of the variance in student engagement in research misconduct and questionable research practices, demonstrating its predictive utility. The model can be used to target interventions aimed at reducing student engagement in research misconduct and questionable research practices.
A Heuristic Rule Reduction Approach to Software Fault-proneness Prediction

Background: Association rules are more comprehensive and understandable than fault-prone module predictors (such as logistic regression model, random forest and support vector machine). One of the challenges is that there are usually too many similar rules to be extracted by the rule mining. Aim: This paper proposes a rule reduction technique that can eliminate complex (long) and/or similar rules without sacrificing the prediction performance as much as possible. Method: The notion of the method is to removing long and similar rules unless their confidence level as a heuristic is high enough than shorter rules. For example, it starts with selecting rules with shortest length (length=1), and then it continues through the 2nd shortest rules selection (length=2) based on the current confidence level, this process is repeated on the selection for longer rules until no rules are worth included. Result: An empirical experiment has been conducted with the Mylyn and Eclipse PDE datasets. The result of the Mylyn dataset showed the proposed method was able to reduce the number of rules from 1347 down to 13, while the delta of the prediction performance was only. 015 (from. 757 down to. 742) in terms of the F1 prediction criteria. In the experiment with Eclipsed PDE dataset, the proposed method reduced the number of rules from 398 to 12, while the prediction performance even improved (from. 426 to. 441.) Conclusion: The novel technique introduced resolves the rule explosion problem in association rule mining for software proneness prediction, which is significant and provides better understanding of the causes of faulty modules.
Stochastic hybrid modeling of DNA replication across a complete genome

Correction for ‘‘Progressive lengthening of 3 untranslated regions of mRNAs by alternative polyadenylation during mouse embryonic development,’’ by Zhe Ji, Ju Youn Lee, Zhenhua Pan, Bingjun Jiang, and Bin Tian, which appeared in issue 17, April 28, 2009, of Proc Natl Acad Sci USA (106:7028–7033; first published April 16, 2009; 10.1073/pnas.0900028106). The authors note that due to a printer’s error, Fig. 1B appeared incorrectly on page 7028. The corrected figure and its legend appear below. CELL BIOLOGY, COMPUTER SCIENCE Correction for ‘‘Stochastic hybrid modeling of DNA replication across a complete genome,’’ by J. Lygeros, K. Koutroumpas, S. Dimopoulos, I. Legouras, P. Kouretas, C. Heichinger, P. Nurse, and Z. Lygerou, which appeared in issue 34, August 26, 2008, of Proc Natl Acad Sci USA (105:12295–12300; first published August 19, 2008; 10.1073/pnas.0805549105). The authors wish to note the following: ‘‘We wish to add direct references to a stochastic model of DNA replication previously applied to the Xenopus laevis early embryonic divisions. That model was applied to molecular combing experiments on cellfree extracts from Xenopus laevis embryos. ’’ The additional references appear below.
Patterns of Interaction and Participation in a Large Online Course: Strategies for Fostering Sustainable Discussion

This case study investigated patterns of interaction and participation in a large online course. 88 Korean undergraduates participated in online fora during 2 weeks. It was found that there was a comparatively high portion of metacognitive interaction and higher phase of knowledge construction. However, it was found that students posted required number of messages at once around due date and selectively responded to peers’ initiations without turn-taking. There were few responses despite many readings of peers’ postings to meet the required number and type of posting. The results showed that the discussion question and evaluation criteria influenced patterns of interaction and participation, and the phase of knowledge construction. Online instructional strategies were suggested for successful online discussion, especially to achieve sustainable discussion.
Memory-based face recognition for visitor identification

We show that a simple, memory-based technique for appearance-based face recognition, motivated by the real-world task of visitor identification, can outperform more sophisticated algorithms that use principal components analysis (PCA) and neural networks. This technique is closely related to correlation templates; however, we show that the use of novel similarity measures greatly improves performance. We also show that augmenting the memory base with additional, synthetic face images results in further improvements in performance. Results of extensive empirical testing on two standard face recognition datasets are presented, and direct comparisons with published work show that our algorithm achieves comparable (or superior) results. Our system is incorporated into an automated visitor identification system that has been operating successfully in an outdoor environment since January 1999.
When Subordinates Become IT Contractors: Persistent Managerial Expectations in IT Outsourcing

This paper investigates the persistence of managerial expectations in an IT outsourcing context where the traditional relationship between supervisor and subordinate changes to one of client-manager and contractor. A mixed-method approach was used, in which a qualitative methodology preceded a large-scale quantitative survey. Data were collected from 147 survivors of a government IT organization which had undergone IT outsourcing in the previous year. Findings show that role overload, the presence of strong ties between manager and contractor, and the lack of prior outsourcing experience increased the persistence of managerial expectations. In turn, persistence of expectations had a distinct influence on managerial perceptions of contractor performance.