Miracle-dz/UniFAR-FTUs huggingface dataset:
Trait Dominance Promotes Reflexive Staring at Masked Angry Body Postures

It has been shown that dominant individuals sustain eye-contact when non-consciously confronted with angry faces, suggesting reflexive mechanisms underlying dominance behaviors. However, dominance and submission can be conveyed and provoked by means of not only facial but also bodily features. So far few studies have investigated the interplay of body postures with personality traits and behavior, despite the biological relevance and ecological validity of these postures. Here we investigate whether non-conscious exposure to bodily expressions of anger evokes reflex-like dominance behavior. In an interactive eye-tracking experiment thirty-two participants completed three social dominance tasks with angry, happy and neutral facial, bodily and face and body compound expressions that were masked from consciousness. We confirmed our predictions of slower gaze-aversion from both non-conscious bodily and compound expressions of anger compared to happiness in high dominant individuals. Results from a follow-up experiment suggest that the dominance behavior triggered by exposure to bodily anger occurs with basic detection of the category, but not recognition of the emotional content. Together these results suggest that dominant staring behavior is reflexively driven by non-conscious perception of the emotional content and triggered by not only facial but also bodily expression of anger.
Refinement and migrating behaviors in Al-Si hypereutectic alloys solidified under electromagnetic vibration

The effects of electromagnetic vibration (EMV) on the refinement and migration of primary silicons in the Al-18 wt pct Si alloy were investigated systematically. It was found that EMV could effectively refine primary silicons. The equivalent diameter of primary silicon first decreases slowly with the current increasing from 1 A to 3 A, but then drops rapidly between 3 A and 10 A, next gradually decreases with increasing current intensity. When the EMV intensity was low, the primary silicons were agglomerated and expelled to the top of a sample, the segregation of silicon grains gradually decreased and the agglomerating phenomena disappeared with the increase of EMV intensity, and the star-like coarse primary silicons turned refined flake or square morphology. The refinement and migration of primary silicons depended on the Lorentz force, gravity and the effective viscous force.
Objects and Classes in Algol-Like Languages

Many object-oriented languages used in practice descend from Algol. With this motivation, we study the theoretical issues underlying such languages via the theory of Algol-like languages. It is shown that the basic framework of this theory extends cleanly and elegantly to the concepts of objects and classes. Moreover, a clear correspondence emerges between classes and abstract data types, whose theory corresponds to that of existential types. Equational and Hoare-like reasoning methods and relational parametricity provide powerful formal tools for reasoning about Algol-like object-oriented programs. 2002 Elsevier Science (USA)
Reliable Internet-Based Master-Worker Computing in the Presence of Malicious Workers

We consider a Master-Worker distributed system where a master processor assigns, over the Internet, tasks to a collection of n workers, which are untrusted and might act maliciously. In addition, a worker may not reply to the master, or its reply may not reach the master, due to unavailabilities or failures of the worker or the network. Each task returns a value, and the goal is for the master to accept only correct values with high probability. Furthermore, we assume that the service provided by the workers is not free; for each task that a worker is assigned, the master is charged with a work-unit. Therefore, considering a single task assigned to several workers, our objective is to have the master processor to accept the correct value of the task with high probability, with the smallest possible amount of work (number of workers the master assigns the task). We probabilistically bound the number of faulty processors by assuming a known probability p < 1/2 of any processor to be faulty. Our work demonstrates that it is possible to obtain, with provable analytical guarantees, high probability of correct acceptance with low work. In particular, we first show lower bounds on the minimum amount of (expected) work required, so that any algorithm accepts the correct value with probability of success 1 - e, where e ≪ 1 (e.g., 1/n). Then we develop and analyze two algorithms, each using a different decision strategy, and show that both algorithms obtain the same probability of success 1 - e, and in doing so, they require similar upper bounds on the (expected) work. Furthermore, under certain conditions, these upper bounds are asymptotically optimal with respect to our lower bounds.
125 I particle implantation combined with chemoradiotherapy to treat advanced pancreatic cancer

Objective: To evaluate the therapy effects of 125 I implantation combined with chemoradiotherapy on pancreatic cancer patients. 30 patients or pancreatic divided into two groups (control and treatment The patients in the treatment group six received chemotherapy in the first week and 125 I implantation in the third week, followed by combined chemoradiotherapy in the fifth week. The patients in the control group (10 males, 5 females) received the same treatment except 125 I implantation. The therapy in the control group and treatment group was repeated every 4 weeks. Results: The median conformal radiotherapy dose in the treatment group (30.62Gy) was significantly lower than that in the control group (47.86Gy). The total radiation dose was 88.71 6 27.39Gy, and the surface activity was 0.6mCi in the treatment group. After treatment, the average tumour size decreased both in the treatment
A constructive development environment for parallel and distributed programs

Regis is a programming environment aimed at supporting the development and execution of parallel and distributed programs. It embodies a constructive approach to the development of programs based on separating program structure from communication and computation. The emphasis is on constructing programs from multiple parallel computational components which cooperate to achieve the overall goal. The environment is designed to easily accommodate multiple communication mechanisms and primitives. Both the computational and communication elements of Regis programs are programmed in the object oriented programming language C++. The elements are combined into parallel and distributed programs using the configuration language Darwin. The paper describes programming in Regis through a set of small example programs. <<ETX>>
Threading of a glycosylated protein loop through a protein hole: Implications for combination of human chorionic gonadotropin subunits

Chorionic gonadotropin (hCG) is a heterodimeric placental glycoprotein hormone essential for human reproduction. Twenty hCG β‐subunit residues, termed the seatbelt, are wrapped around α‐subunit loop 2 (α2) and their positions “latched” by a disulfide formed by cysteines at the end of the seatbelt (Cys 110) and in the β‐subunit core (Cys 26). This unique arrangement explains the stability of the heterodimer but raises questions as to how the two subunits combine. The seatbelt is latched in the free β‐subunit. If the seatbelt remained latched during the process of subunit combination, formation of the heterodimer would require α2 and its attached oligosaccharide to be threaded through a small β‐subunit hole. The subunits are known to combine during oxidizing conditions in vitro, and studies described here tested the idea that this requires transient disruption of the latch disulfide, possibly as a consequence of the thioredoxin activity reported in hCG. We observed that alkylating agents did not modify either cysteine in the latch disulfide (Cys 26 or Cys 110) during heterodimer formation in several oxidizing conditions and had minimal influence on these cysteines during combination in the presence of mild reductants (1–3 mM β‐mercaptoethanol). Reducing agents appeared to accelerate subunit combination by disrupting a disulfide (Cys 93–Cys 100) that forms a loop within the seatbelt, thereby increasing the size of the β‐subunit hole. We propose a mechanism for hCG assembly in vitro that depends on movements of α2 and the seatbelt and suggest that the process of glycoprotein hormone subunit combination may be useful for studying the movements of loops during protein folding.
Current developments of k-anonymous data releasing

Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining community, especially after the introduction of the k-anonymity model by Samarati and Sweeney. Algorithmic advances on k-anonymisation provide simple and effective approaches to protect private information of individuals via only releasing k-anonymous views of a data set. Thus, the k-anonymity model has gained increasing popularity. Recent research identifies some drawbacks of the k-anonymity model and presents enhanced kanonymity models. This paper reviews problems of the k-anonymity model and its enhanced variants, and different methods for implementing k-anonymity. It compares the k-anonymity model with the secure multiparty computation-based privacy-preserving techniques in the data mining literature. The paper also discusses further development directions of the k-anonymous data releasing.
A Memetic Genetic Programming with decision tree-based local search for classification problems

In this work, we propose a new genetic programming algorithm with local search strategies, named Memetic Genetic Programming(MGP), for classification problems. MGP aims to acquire a classifier with large Area Under the ROC Curve (AUC), which has been proved to be a better performance metric for traditionally used metrics (e.g., classification accuracy). Three new points are presented in our new algorithm. First, a new representation called statistical genetic decision tree (SGDT) for GP is proposed on the basis of Genetic Decision Tree (GDT). Second, a new fitness function is designed by using statistic information from SGDT. Third, the concept of memetic computing is introduced into SGDT. As a result, the MGP is equipped with a local search method based on the training algorithms for decision trees. The efficacy of the MGP is empirically justified against a number of relevant approaches.
Effect of pressure on thermal conductance of contact joints

Technical note presenting tests conducted to determine the factors influencing the thermal conductance across the interface formed between stationary plane surfaces of 75S-T6 aluminum-alloy and AISI Type 416 stainless-steel blocks. The types of joints investigated included bare metal-to-metal contact, contact surfaces separated by a good conductor (brass), and contact surfaces separated by a thin sheet of insulation (asbestos). Results regarding the effect of surface roughness, pressure, mean interface temperature, temperature drop, sandwich material, time as a factor in conductance, and effect of test reassembly and interface matching are provided.
A game theoretical formulation for distributed optimization problems

The focus of this paper is to develop a theoretical framework for analysis and design of distributed optimization problem in multi-agent systems by using the language of game theory and cooperative control methodology. In the framework, a piecewise-constant and binary-valued matrix in the cooperative control theory is introduced to describe the sensing/communication among agents and to cope with the practical situations where the information sharing may be in a distributed, dynamically changing and local manner. Based on information acquisition/communication model, state based ordinal potential game is designed to capture the optimal solution to distributed optimization problems in multi-agent systems by appropriately specifying local objective function for each individual decision maker. It is worth noting that the proposed analysis and design methodology has the advantages that the resulted equilibriums are capable of solving the distributed optimization problems even if the corresponding communication topologies is local, time-varying and intermittent. Meanwhile, the minimal requirement for the communication among the agents is provided to ensure the global objective is desirable under the new framework.
Transcriptome Sequencing and Characterization of Japanese Scallop Patinopecten yessoensis from Different Shell Color Lines

Shell color is an important trait that is used in breeding the Japanese scallop Patinopecten yessoensis, the most economically important scallop species in China. We constructed four transcriptome libraries from different shell color lines of P. yessoensis: the left and right shell mantles of ordinary strains of P. yessoensis and the left shell mantles of the ‘Ivory’ and ‘Maple’ strains. These four libraries were paired-end sequenced using the Illumina HiSeq 2000 platform and contained 54,802,692 sequences, 40,798,962 sequences, 74,019,262 sequences, and 44,466,166 sequences, respectively. A total of 214,087,082 expressed sequence tags were assembled into 73,522 unigenes with an average size of 1,163 bp. When the data were compared against the public Nr and Swiss-Prot databases using BlastX, nearly 30.55% (22,458) of the unigenes were significantly matched to known unique proteins. Gene Ontology annotation and pathway mapping analysis using the Kyoto Encyclopedia of Genes and Genomes categorized unigenes according to their diverse biological functions and processes and identified candidate genes that were potentially involved in growth, pigmentation, metal transcription, and immunity. Expression profile analysis was performed on all four libraries and many differentially expressed genes were identified. In addition, 5,772 simple sequence repeats were obtained from the P. yessoensis transcriptomes, and 464,197, 395,646, and 310,649 single nucleotide polymorphisms were revealed in the ordinary strains, the ‘Ivory’ strain, and the ‘Maple’ strain, respectively. These results provide valuable information for future genomic studies on P. yessoensis and improve our understanding of the molecular mechanisms involved in the growth, immunity, shell coloring, and shell biomineralization of this species. These resources also may be used in a variety of applications, such as trait mapping, marker-assisted breeding, studies of population genetics and genomics, and work on functional genomics.
An optimal and progressive algorithm for skyline queries

The skyline of a set of d-dimensional points contains the points that are not dominated by any other point on all dimensions. Skyline computation has recently received considerable attention in the database community, especially for progressive (or online) algorithms that can quickly return the first skyline points without having to read the entire data file. Currently, the most efficient algorithm is NN (<u>n</u>earest <u>n</u>eighbors), which applies the divide -and-conquer framework on datasets indexed by R-trees. Although NN has some desirable features (such as high speed for returning the initial skyline points, applicability to arbitrary data distributions and dimensions), it also presents several inherent disadvantages (need for duplicate elimination if d>2, multiple accesses of the same node, large space overhead). In this paper we develop BBS (<u>b</u>ranch-and-<u>b</u>ound <u>s</u>kyline), a progressive algorithm also based on nearest neighbor search, which is IO optimal, i.e., it performs a single access only to those R-tree nodes that may contain skyline points. Furthermore, it does not retrieve duplicates and its space overhead is significantly smaller than that of NN. Finally, BBS is simple to implement and can be efficiently applied to a variety of alternative skyline queries. An analytical and experimental comparison shows that BBS outperforms NN (usually by orders of magnitude) under all problem instances.
Diagnostic accuracy of the vertebral heart score and other radiographic indices in the detection of cardiac enlargement in cats with different cardiac disorders

A retrospective search was conducted to evaluate the diagnostic accuracy of the vertebral heart score (VHS) and other related radiographic indices in the detection of cardiac enlargement associated with different cardiac disorders in the cat. One hundred and five cats with a complete echocardiographic examination and radiographic examination of the thorax with at least two orthogonal views were enrolled. Eighty-three cats had different cardiac disorders, 72 with left-sided cardiac disorders (LSCD) and 11 with right-sided cardiac disorders; 22 cats were free of cardiovascular abnormalities. Measurements of VHS and cardiac long and short axes on lateral (L) and dorsoventral or ventrodorsal radiographs were obtained. Receiver operating characteristic curves were calculated to evaluate the diagnostic accuracy of each radiographic index in differentiating between cats with cardiac disorders or cats with LSCD and cats without cardiac abnormalities and, among cats with LSCD, between those with no or mild left atrial enlargement (LAE) or those with moderate-to-severe LAE and healthy cats. The L-VHS at the cut-off of 7.9 had high diagnostic accuracy in distinguishing cats with LSCD and moderate-to-severe LAE from healthy cats, but all the other radiographic indices were moderately accurate in distinguishing between cats with overall cardiac disorders or LSCD, either with no or mild LAE and moderate-to-severe LAE, and healthy cats. The considered radiographic indices were also moderately accurate in predicting different degrees of LAE in cats with LSCD. Radiographic indices are reasonably specific, but less sensitive predictors of cardiac enlargement in cats with heart disorders.
Long-Acting Hydrocortisone for Glucocorticoid Replacement Therapy

Background: Glucocorticoid (GC) deficiency is a consequence of various disorders that are by themselves rare. Because of this low prevalence, the low cost of GC replacement therapy and the belief that existing outcomes are good, there has been little interest in development of new and improved pharmaceutical products for treatment of GC deficiency. However, GC replacement therapy is complex: diurnal variation of endogenous cortisol must be replicated, GC needs may change during times of physical and psychological stress and there is no biomarker of its action that can be used to monitor individual dose response. Current Limitations: Recent data suggest that the outcome of established long-term GC replacement therapy may not be as good as previously believed. Short-acting GCs such as hydrocortisone (HC) and cortisone acetate for replacement therapy require 2 to 3 administrations per day. Developing Alternatives: Drug delivery system technologies are now available that could permit design and manufacture of a formulation that could accommodate once-daily administration of HC. Such a formulation would enable more physiological serum cortisol-time profiles than are possible with currently available formulations. This short review provides some background on GC replacement therapy, along with recent data on the outcome of patient groups with GC insufficiency, and briefly discusses some general principles for a controlled-release (‘long-acting’) HC formulation.
Ionic liquid-controlled synthesis of ZnO microspheres

Metal oxide microspheres have potential applications in many fields. However, so far, the construction and controlling of nanostructures which play a crucial role in tailoring the properties of microspheres and hollow microspheres are still difficult. In this work, we were the first to successfully tune the nanostructures of spheres and hollow spheres of ZnO during a solvothermal reaction system by using imidazolium tetrafluoroborate ionic liquids. The results indicate that not only can ionic liquids be used as soft templates to provide a really facile approach for the elaboration of hierarchical nanostructures but also this solvothermal reaction system associated with ionic liquids may be regarded as a hybrid solvothermal and ionothermal system, which possesses a “two in one” advantage and hence can provide a powerful tool for the synthesis of novel materials with interesting morphologies and properties in the future.
Implementation of an Innovative Pediatric Hospital Medicine Education Series.

OBJECTIVE Limitations on resident duty hours require formal education programs to be high-yield and impactful. Hospital medicine (HM) topics provide the foundation for inpatient pediatric knowledge pertinent to pediatric residents and medical students. Our primary objective was to describe the creation of an innovative pediatric HM curriculum designed to increase learners’ medical knowledge and their confidence in communicating with patients and families about these topics; our secondary objective was to evaluate the level of innovation of the conference sessions perceived by the learners. METHODS A systematic approach was used to develop a curriculum framework incorporating a variety of interactive and engaging educational strategies. Six sessions were studied over the 2012–2013 academic year. The bimonthly sessions were presented during the resident daily conference schedule as a recurring pediatric HM series. Change in learners’ medical knowledge and confidence in communicating with families were analyzed presession to postsession by using McNemar’s test and the Wilcoxon signed rank test, respectively. Learners rated the level of innovation for each session on a 5-point Likert scale. RESULTS Content covered during the 6 sessions included bronchiolitis, child abuse, health care systems, meningitis/fever, urinary tract infection, and wheezing. Medical knowledge increased presession to postsession (P < .001), as did confidence in communicating about each topic with families (P < .01). The average rating score for all sessions was highly innovative. CONCLUSIONS A systematic approach is useful for developing new curricula for pediatric learners. Focusing on high-yield topics and established competencies allows impactful education sessions within the confines of pediatric learners’ schedule constraints.
An analysis of international health care logistics: the benefits and implications of implementing just-in-time systems in the health care industry.

PURPOSE The primary purpose of this study is to undertake a diagnostic investigation of the international health care logistical environment and determine whether regulatory policies or industry procedures have hindered the implementation of just-in-time (JIT) systems and then to recommend operational improvements to be achieved by implementing JIT Systems. DESIGN/METHODOLOGY/APPROACH The analysis was conducted in a systematic manner and compared the anticipated benefits with benefits validated in other industries from the implementation of JIT. An extensive literature review was conducted. FINDINGS In this particular study the cost and benefit outcomes achieved from a health care JIT implementation were compared with those achieved by the manufacturing, service, and retail industries. Chiefly, it was found that the health service market must be restructured to encourage greater price competition among priorities. A new standardization process should eliminate duplication of products and realize substantial savings. ORIGINALITY/VALUE The analysis was conducted in a systematic manner and compared the anticipated benefits with benefits validated in other industries from the implementation of JIT.