Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolutionary and Physiological Importance of Hub Proteins

It has been claimed that proteins with more interaction partners (hubs) are both physiologically more important (i.e., less dispensable) and, owing to an assumed high density of binding sites, slow evolving. Not all analyses, however, support these results, probably because of biased and less-than reliable global protein interaction data. Here we provide the first examination of these issues using a comprehensive literature-curated dataset of well-substantiated protein interactions in Saccharomyces cerevisiae. Whereas use of less reliable yeast two-hybrid data alone can reject the possibility that local connectivity correlates with measures of dispensability, in higher quality datasets a relatively robust correlation is observed. In contrast, local connectivity does not correlate with the rate of protein evolution even in reliable datasets. This perhaps surprising lack of correlation with evolutionary rate appears in part to arise from the fact that hub proteins do not have a higher density of residues associated with binding. However, hub proteins do have at least one other set of unusual features, namely rapid turnover and regulation, as manifest in high mRNA decay rates and a large number of phosphorylation sites. This, we suggest, is an adaptation to minimize unwanted activation of pathways that might be mediated by adventitious binding to hubs, were they to actively persist longer than required at any given time point. We conclude that hub proteins are more important for cellular growth rate and under tight regulation but are not slow evolving.
Chinese evangelists on the move: space, authority, and ethnicisation among overseas Chinese Protestant Christians

Since the 2000s, Chinese Christians in Europe have witnessed an increasing flow of resources and evangelists from Chinese Christian Communities in North America. Based on information gathered in the UK, Germany and China, this article aims to reveal the mechanisms and dynamics behind the space-making and network-building in overseas Chinese Protestant Christians’ missionisation processes. The authors suggest that the increased flow takes place in an imagined faith community reinforced by the discourse on the ‘suffering’ of the Chinese nation, that it is a result of a far-reaching geographical imaginary with ethnic Chinese evangelists as God’s new chosen people, and that it is linked to the dynamics in the specific locations of North America, Europe and China. These mechanisms and dynamics are entangled with a ‘network of moralities’ arising from the discourses on ‘authenticity’ and ‘suffering’. The result is a distinct ethno-religious space, which, however, does not conflict with the cosmopolitan aims of the grand missionary enterprise.
Exploiting Dynamically Propositional Logic Structures in SAT

The 32-bit hwb (hwb-n32 for short) problem is from equivalence checking that arises in combining two circuits computing the hidden weighted bit function. Since 2002, it remains still unsolvable in every SAT competition. This paper focuses on solving problems such as hwb-n32. Generally speaking, modern solvers can detect only XOR, AND, OR and ITE gates. Other non-clausal formulas (propositional logic structures) cannot be detected. To solve the hwb-n32 problem, we extract dynamically some special propositional logic structures, and then use a variant of DPLL-based solvers to solve the subproblem simplified by the extracted structure information. Using the dynamic extraction technique, we solved efficiently the hwb-n32 problem, even some of which were solved within 3000 seconds.
Measuring Contrast Sensitivity Under Different Lighting Conditions: Comparison of Three Tests

Purpose. The purpose of this study was to evaluate three psychophysical tests for the measurement of contrast sensitivity (CS) and disability glare (DG) at different luminance levels. Methods. In 60 eyes of 60 individuals (group 1: 20 healthy eyes of young individuals; group 2: 20 healthy eyes of elderly subjects; group 3: 20 eyes with nuclear cataract), CS with best correction was measured twice with the Frankfurt-Freiburg Contrast and Acuity Test System (FF-CATS) and the Functional Acuity Contrast Test (FACT, 1.5 cycles per degree [cpd]) at 167 cd/m2 and 0.167 cd/m2, and with the Pelli-Robson Chart (PRC) at 100 cd/m2 with and without glare. Repeatability of test and retest, and discriminative ability between the different subgroups, were assessed for CS values. Results. Maximum CS values varied across tests. In all groups, highest CS values were obtained with the photopic FF-CATS. For FACT scores at 1.5 cpd, there was a ceiling effect for young subjects. CS scores obtained with the PRC were the lowest. The PRC had the best test–retest repeatability of all tests. Under mesopic conditions with glare, reliability was generally lower; the FF-CATS had the highest repeatability of the mesopic tests. The FF-CATS discriminated best between the different groups for all conditions. Conclusions. There are large discrepancies in the test results between CS testing methods, especially under different lighting conditions. Results from different CS tests are not interchangeable.
Losartan and lercanidipine attenuate low‐density lipoprotein oxidation in patients with hypertension and type 2 diabetes mellitus: A randomized, prospective crossover study

Lipoprotein oxidation, dyslipidemia, and hypertension are important underlying causes of accelerated atherosclerosis in patients with diabetes mellitus. The potential of antihypertensive medications to reduce lipid oxidation is, therefore, an important determinant in the choice of agents for patients with diabetes mellitus. The aim of this study was to compare the lowering effect of a new dihydropyridine calcium antagonist, lercanidipine, with that of the first angiotensin‐receptor blocker, losartan, on low‐density lipoprotein (LDL) oxidation.
Trait and state attributes of insight in first episodes of early-onset schizophrenia and other psychoses: a 2-year longitudinal study.

BACKGROUND Increasing evidence supports the important role of illness state and individual characteristics in insight. METHODS Insight, as measured with the Scale to Assess Unawareness of Mental Disorder, over the first 2 years of early-onset first-episode psychosis and its correlations with clinical, socio-demographic, cognitive, and structural brain variables are studied. RESULTS (1) insight at 2 years is poorer in schizophrenia spectrum disorders (SSDs) than in subjects with other psychoses; (2) the more severe the psychosis, the worse the insight. In SSD, depressive symptoms, poorer baseline executive functioning, lower IQ, longer duration of untreated psychosis (DUP), and poorer premorbid infancy adjustment are associated with poorer insight; frontal and parietal gray matter (GM) reductions at baseline correlate with worse insight into having psychotic symptoms at 2 years; (3) insight into having a mental disorder (Scale to Assess Unawareness of Mental Disorder [SUMD]1) at 1 year, DUP, and baseline IQ are the most consistent variables explaining different aspects of insight at 2 years in SSD patients. IQ and SUMD1 at 1 year, together with left frontal and parietal GM volumes, explain 80% of the variance of insight into having specific psychotic symptoms in SSD patients (adjusted R(2) = 0.795, F = 15.576, P < . 001). CONCLUSION Insight is a complex phenomenon that depends both on severity of psychopathology and also on disease and subject characteristics, such as past adjustment, IQ, DUP, cognitive functioning, frontal and parietal GM volumes, and age, gender, and ethnicity.
Fusing laser point cloud and visual image at data level using a new reconstruction algorithm

Camera and LIDAR provide complementary information for robots to perceive the environment. In this paper, we present a system to fuse laser point cloud and visual information at the data level. Generally, cameras and LIDARs mounted on the unmanned ground vehicle have different viewports. Some objects which are visible to a LIDAR may become invisible to a camera. This will result in false depth assignment for the visual image and incorrect colorization for laser points. The inputs of the system are a color image and the corresponding LIDAR data. Coordinates of 3D laser points are first transformed into the camera coordinate system. Points outside the camera viewing volume are clipped. A new algorithm is proposed to recreate the underlying object surface of the potentially visible laser points as quadrangle mesh by exploiting the structure of the LIDAR as a priori. False edge is eliminated by constraining the angle between the laser scan trace and the radial direction of a given laser point, and quadrangles with non-consistent normal are pruned. In addition, the missing laser points are solved to avoid large holes in the reconstructed mesh. At last z-buffer algorithm is used to work for occlusion reasoning. Experimental results show that our algorithm outperforms the previous one. It can assign correct depth information to the visual image and provide the exact color to each laser point which is visible to the camera.
Working Conditions and Maternal Health Challenges in Lagos State, Nigeria

Endemic maternal health has been a major concern in sub-Saharan Africa with Nigeria occupying a position among the countries with the highest maternal and child mortality rates in the world. Although there are numerous studies on maternal health, there is no consensus on the implications of urban health conditions on safe motherhood. This paper, therefore, examines the influence of working conditions on maternal health in the face of poor provision of amenities and infrastructural decay pervading urban centres in sub-Saharan Africa using Nigeria as a case study. The study specifically investigated the plight of women in Lagos State, Nigeria. The data for the study were obtained from a survey conducted between 2011 and 2012 using a structured questionnaire and key informant interviews. Issues relating to working conditions were measured by the nature of work, time for rest, means of transportation, duration and timing of maternity leave, relationship with boss and a host of others. The data ware analysed using univariate and binary logistic regression analysis. The findings show that socio-environmental conditions including poverty, inefficient transportation system, gender bias, work stress and poor quality of life expose a large proportion of women to morbidities, poor nutrition and repeated pregnancies that can increase maternal mortality in the study area. The paper concludes that adverse working condition is positively related to maternal health complications and this calls for urgent policy intervention to address work related pressures on potential mothers. The authors suggest that employers of labour must develop humane health-friendly policies in the work place that favour maternal well-being before, during and after pregnancy. Keywords: Working conditions, poverty, stress, maternal health
ANT-COLONY-ALGORITHM-SIMULATED-ANNEALING- ALGORITHM-BASED OPTIMIZATION APPROACH FOR MCM INTERCONNECT TEST

In this paper, a novel optimization approach based on ant colony algorithm (ACA) and simulated annealing algorithm (SA) is presented for the Multi-chip Module (MCM) interconnect test generation problem. In order to apply ACA into the interconnect test, the pheromone updating rule and state transition rule is designed by combing the characteristics of MCM interconnect test generation. By using the method, the ideal searching direction of global optimal solution could be found as soon as possible, while the shortcomings of high initial temperature required and slow convergence speed of SA were also overcame. ACA generates the initial candidate test vectors in this approach. In order to get the best test vector with the high fault coverage, SA is employed to evolve the candidates generated by ACA. The international standard MCM benchmark circuit was used to verify the approach. After comparing with not only the evolutionary algorithms, but also the deterministic algorithms, the simulation results indicate that this optimization approach can achieve high fault coverage, compact test set and short execution time.
Knowledge risk management: a framework

Purpose – There has been increased interest in application of knowledge management (KM) in managerial issues as a way of demonstrating the field’s value. There has also been an increasing focus on risk management (RM) in response to growing organisational awareness of corporate and social responsibilities. This paper seeks to contribute to the emergence of a new field of research – referred to as knowledge risk management (KRM), which applies KM tools and techniques to the management of organisational risk. Design/methodology/approach – The approach takes the form of building on an empirical study of the Australian Department of Defence using case study methods. Findings – The paper examines how conventional approaches to risk management based on decision tree methods are ineffective, and proposes and tests an alternative KRM model. Research limitations/implications – A limitation is that the paper is based on a single case study. Originality/value – The model provides managers with a way to differentiate amongst risks and prioritise for action. Its main value is to reduce the cognitive bias inherent in traditional decision methods for risk assessment. The KRM model improves the accuracy of risk assessment by reducing subjectivity caused by cognitive bias.
Face Replacement Demo using the Kinect Depth Sensor

This paper proposes a face-swap method, wherein the use of a depth sensor and improved algorithms are used to improve the quality and realism of a face swap process. By tracking head pose and facial features in 3D using a Kinect depth camera, an accurate model of the face can be constructed and used to deform a texture which is then drawn on top of a 2D video stream. The use of random regression forests for head pose estimation is explored, along with a novel method for blending textures based on luminance. The proposed system shows good results through a wider range of head rotations than previous methods, and is able to run at an average of 25fps.
RAB10 Interacts with the Male Germ Cell-Specific GTPase-Activating Protein during Mammalian Spermiogenesis

According to recent estimates, 2%–15% of couples are sterile, and approximately half of the infertility cases are attributed to male reproductive factors. However, the reasons remain undefined in approximately 25% of male infertility cases, and most infertility cases exhibit spermatogenic defects. Numerous genes involved in spermatogenesis still remain unknown. We previously identified Male Germ Cells Rab GTPase-Activating Proteins (MGCRABGAPs) through cDNA microarray analysis of human testicular tissues with spermatogenic defects. MGCRABGAP contains a conserved RABGAP catalytic domain, TBC (Tre2/Bub2/Cdc16). RABGAP family proteins regulate cellular function (e.g., cytoskeletal remodeling, vesicular trafficking, and cell migration) by inactivating RAB proteins. MGCRABGAP is a male germ cell-specific protein expressed in elongating and elongated spermatids during mammalian spermiogenesis. The purpose of this study was to identify proteins that interact with MGCRABGAP during mammalian spermiogenesis using a proteomic approach. We found that MGCRABGAP exhibited GTPase-activating bioability, and several MGCRABGAP interactors, possible substrates (e.g., RAB10, RAB5C, and RAP1), were identified using co-immunoprecipitation (co-IP) and nano liquid chromatography-mass spectrometry/mass spectrometry (nano LC-MS/MS). We confirmed the binding ability between RAB10 and MGCRABGAP via co-IP. Additionally, MGCRABGAP–RAB10 complexes were specifically colocalized in the manchette structure, a critical structure for the formation of spermatid heads, and were slightly expressed at the midpiece of mature spermatozoa. Based on these results, we propose that MGCRABGAP is involved in mammalian spermiogenesis by modulating RAB10.
Beyond Baldridge: Extending the Political Model of Higher Education Organization and Governance

This article presents a case study of organizational decision making in higher education through an analysis of the contest over affirmative action at the University of California. It presents an overview of the development of the prevailing model of the politics of higher education, J. Victor Baldridge’s interest articulation framework, and discusses the evolution of the study of the politics of higher education organizations. The findings from this case suggest that contemporary models for understanding the political dynamics of postsecondary governance and decision making will be more effective if they extend the interest-articulation framework to include positive theories of institutions and State theoretical perspectives.
Complete enumeration of compact structural motifs in proteins

The search of structural motifs that specify the spatial arrangement of polypeptide segments is preferred over other methods such as common substructure discovery and structural superposition in comparing protein structures. 3D protein structures can be modeled as graphs whose maximum degree is bounded by a constant. Structural motifs can also be modeled as graphs and a significant percentage of them are trees. Thus, motif search in proteins can be modeled as an enumeration of isomorphic subgraphs where a query tree Q with m nodes is searched in a sparse graph G with n nodes and the maximum degree of any node in G is bounded by a constant ε. We design an efficient divide-and-conquer algorithm that finds all copies of Q in G by partitioning Q using a minimum dominating set. This strategy can be extended to sparse query graphs that can be reduced to trees by deleting a small number of edges.
Depth of a central venous catheter tip: length of insertion guideline for pediatric patients

Background: In pediatric patients, several studies have been undertaken to establish central venous catheter (CVC) tip optimal depth. Assessments of catheter tip position using chest radiographs may be misleading, whereas transesophageal echocardiography (TEE) has been shown to accurately monitor catheter tip placement at the superior vena cava–right atrial (SVC–RA) junction. The aim of this study was to issue a guideline for ideal catheter insertion depth, from the right internal jugular vein (IJV) using TEE to confirm the position of the catheter tip at the SVC–RA junction.
Strain-Specific Regulation of Striatal Phenotype in Drd2-eGFP BAC Transgenic Mice

Mice carrying bacterial artificial chromosome (BAC) transgenes have become important tools for neuroscientists, providing a powerful means of dissecting complex neural circuits in the brain. Recently, it was reported that one popular line of these mice—mice possessing a BAC transgene with a D2 dopamine receptor (Drd2) promoter construct coupled to an enhanced green fluorescent protein (eGFP) reporter—had abnormal striatal gene expression, physiology, and motor behavior. Unlike most of the work using BAC mice, this interesting study relied upon mice backcrossed on the outbred Swiss Webster (SW) strain that were homozygous for the Drd2-eGFP BAC transgene. The experiments reported here were conducted to determine whether mouse strain or zygosity was a factor in the reported abnormalities. As reported, SW mice were very sensitive to transgene expression. However, in more commonly used inbred strains of mice (C57BL/6, FVB/N) that were hemizygous for the transgene, the Drd2-eGFP BAC transgene did not alter striatal gene expression, physiology, or motor behavior. Thus, the use of inbred strains of mice that are hemizygous for the Drd2 BAC transgene provides a reliable tool for studying basal ganglia function.
A grasp performance criterion for robot hands considering multiple aspects of tasks and hand configurations

In this paper, a task-oriented grasp performance criterion for robot hands is discussed. The objectives of grasp criteria proposed in the past are stable grasping and the tasks that require adequate forces and moments on the grasped object. These criteria do not mainly consider the other physical quantities such as positions and velocities on the grasped object and the mechanical property of robot hands. We propose a grasp criterion for various kinds of tasks that evaluates the feasibility of the task with considering hand mechanisms and hand configurations. Our proposed method determine the grasping position by considering the efficiency of grasped object's position, velocity, and force. As a result, this criterion decides the grasping position and the hand configuration. Additionally, we have shown that our proposed criterion can be applied to the design problem of robot hands.
Content aggregation and knowledge sharing in a personal learning environment: Serendipitous and emergent learning in open online networks

The integration of social web and networking technologies into education is transforming learning practices particularly learning environments in higher education. Such technology-mediated learning environments based on the potential of Web 2.0 and free/open social software tend to be more open, networked and distributed. What we can see now in online education realm is perhaps a paradigm shift from less institutionalized learning management systems to more flexible student-centered learning environments as it is called Personal Learning Environments (PLE). Such networked and distributed learning environments seem to have the potential of bringing various opportunities and resources for learners. This paper, by describing a PLE as a set of learner-defined tools and services, highlights how participants in open online courses use a variety of tools and resources as their PLEs for searching, aggregating, creating and sharing contents. In this online ethnographic research design, data was gathered through an online survey, semi-structured interviews and online artifacts from the participants in three open online courses. This work also draws attention to study how serendipitous discoveries and kind of emerging learning might occur by being immersed in the abundance of resources and engaged in various online networks and communities. The results of the initial yet-in-progress analysis of this study suggest evidences of serendipity and emergent learning in open online contexts.
Fast point-to-point Dyck constrained shortest paths on a DAG (Extended abstract)

Many aspects of program analysis are related to CFL (context-free language) constrained path problems on graphs. A path is constrained by requiring its list of edge labels to form a string that is a member of the associated CFL. Constrained shortest path problems give O(n3/ log n)-bottlenecks for program analysis, where n is the number of nodes. Labeled path problems also have many other applications. Assume two terminals (parenthesis) in a Dyck CFL. Given any two vertices s and t and the output of Nykanen and Ukkonen's exact integer path length algorithm. then this paper finds a minimal-cost point-to-point Dyck path cost in such edge-labeled digraphs in O(n2 log n) additional operations. This paper is on the DAG (directed acyclic graph) case. Our result depends on a special case of the exact integer path length problem of Nykanen and Ukkonen that costs O(n3). A new algorithm is introduced that joins special edges output by Nykanen and Ukkonen's algorithm. Nykanen and Ukkonen's algorithm along with our basic algorithm gives a minimal-cost point-to-point Dyck shortest path cost between two nodes.