Miracle-dz/UniFAR-FTUs huggingface dataset:
Stuck between a rock and a hard place: the work situation for nurses as leaders in municipal health care

Background The paper aims to present how nursing leaders in the municipal health care perceive the interaction with and support from their superiors and peers. The paper further aims to identify the leaders’ vulnerability and strength at work in the current situation of shortage of manpower and other resources in the health care sector. This is seen through the lens of self-determination theory. Methods Qualitative interviews were conducted with nine nursing leaders in nursing homes and home-care services, which, in part, capture the municipal health care service in a time of reform. Results The nursing leaders are highly independent regarding their role as leaders. They act with strength and power in their position as superiors for their own staff, but they lack support and feel left alone by their leader, the municipal health director. The relation between the nursing leaders and their superiors is characterized by controlling structures and lack of autonomy support. As a consequence, the nursing leaders’ relations with subordinates and particularly peers, contribute to satisfy their needs for competence and relatedness, and, to some extent, autonomy. However, this cannot substitute for the lack of support from the superior level. Conclusion The paper maintains a need to increase the consciousness of the value of horizontal support and interaction with peers and subordinates for the municipal nursing leader. Also, the need for increased focus on “the missing link” upward between the municipal health director and the nursing leader is revealed. The impact of extensive controlling structures and lack of autonomy support from superiors might lead to reduced motivation and well-being.
Correlations between Lag, Luminosity, and Duration in Gamma-Ray Burst Pulses

We derive a new peak lag versus peak luminosity relation in gamma-ray burst (GRB) pulses. We demonstrate conclusively that GRB spectral lags are pulse rather than burst properties and show how the lag versus luminosity relation determined from CCF measurements of burst properties is essentially just a rough measure of this newly derived relation for individual pulses. We further show that most GRB pulses have correlated properties: short-lag pulses have shorter durations, are more luminous, and are harder within a burst than long-lag pulses. We also uncover a new pulse duration versus pulse peak luminosity relation, and indicate that long-lag pulses often precede short-lag pulses. Although most pulse behaviors are supportive of internal shocks (including long-lag pulses), we identify some pulse shapes that could result from external shocks.
Retail Design and Sensory Experience: Design Inquiry of Complex Reality

Understanding sensory stimulation of people in human environments is vital to designing an interior space. The senses play critical roles in human experience and the memories and emotions tied to it. In retail design brands associated to sensory experience attract customers and stimulate strong, positive, and distinctive impression across all five senses. In this case multiple sensory cues are found in a store interior including store and display layout, lighting, interior fixtures and furnishings, music, and air quality such as fragrance and temperature. All contribute and complement each other in orchestrating the complexity of interiors. Malnar and Vodvarka provide sensory schematics to analyze the built environment. They devised a sensory slider to tap the clarity for a particular sense (Malnar & Vodvarka, 2004). Analysis of resulting sensory levels in interior environments provides expanded understanding of the interior’s physical condition in relation to sensory perception of users. For retail, the sensory slider was simplified and adapted to analyze visual, acoustical, olfactory and tactile information in store “S”. Key factors are found: (1) visual cues are most evident in retail interiors supporting previous research; (2) non-visual stimulations are evident in design narratives revealing emotional domains; (3) multi sensory experience supports literature on branding practices in retail; (4) interior detailing appear to impact all senses. Using the tool contributes to creating a conceptual framework when evaluating physical environments and emotional factors concerning customers satisfaction. Implication on the application of the method to the design practice is noted. Interior designers as collaborators with retailers will find it useful for the branding and for new store design and services. Insights and directives from this work suggest added research possibilities and application in interior design, graphic design, as well as store marketing and retailing.
Compromised Mitochondrial Fatty Acid Synthesis in Transgenic Mice Results in Defective Protein Lipoylation and Energy Disequilibrium

A mouse model with compromised mitochondrial fatty acid synthesis has been engineered in order to assess the role of this pathway in mitochondrial function and overall health. Reduction in the expression of mitochondrial malonyl CoA-acyl carrier protein transacylase, a key enzyme in the pathway encoded by the nuclear Mcat gene, was achieved to varying extents in all examined tissues employing tamoxifen-inducible Cre-lox technology. Although affected mice consumed more food than control animals, they failed to gain weight, were less physically active, suffered from loss of white adipose tissue, reduced muscle strength, kyphosis, alopecia, hypothermia and shortened lifespan. The Mcat-deficient phenotype is attributed primarily to reduced synthesis, in several tissues, of the octanoyl precursors required for the posttranslational lipoylation of pyruvate and α-ketoglutarate dehydrogenase complexes, resulting in diminished capacity of the citric acid cycle and disruption of energy metabolism. The presence of an alternative lipoylation pathway that utilizes exogenous free lipoate appears restricted to liver and alone is insufficient for preservation of normal energy metabolism. Thus, de novo synthesis of precursors for the protein lipoylation pathway plays a vital role in maintenance of mitochondrial function and overall vigor.
Keeping things simple: finding frequent item sets by recursive elimination

Recursive elimination is an algorithm for finding frequent item sets, which is strongly inspired by the FP-growth algorithm and very similar to the H-mine algorithm. It does its work without prefix trees or any other complicated data structures, processing the transactions directly. Its main strength is not its speed (although it is not slow, even outperforms Apriori and Eclat on some data sets), but the simplicity of its structure. Basically all the work is done in one simple recursive function, which can be written with relatively few lines of code.
Easy optimization of image transformation using sFFT algorithm with HALIDE language

Image processing technologies are widely used in all fields. Computing Image (2D and 3D) has many techniques and algorithms for the process of image transformation. Programming languages like C++, Matlab and for graphics CUDA, open CL are the efficient languages that are used in the current image processing technology. For video and computer aided animations, programmers spend a lot of time and money in planning and executing the operations. This research mainly concentrates on process of applying sFFT Algorithm for signal processing in Halide. This paper evaluates the performance of image processing using Halide.
Pro-B Cells and Induce Proliferation of Normal Human Murine and Human IL-7 Activate STAT5

The role of IL-7 in lymphoid development and T cell homeostasis has been extensively documented. However, the role of IL-7 in human B cell development remains unclear. We used a xenogeneic human cord blood stem cell/murine stromal cell culture to study the development of CD19 (cid:1) B-lineage cells expressing the IL-7R. CD34 (cid:1) cord blood stem cells were cultured on the MS-5 murine stromal cell line supplemented with human G-CSF and stem cell factor. Following an initial expansion of myeloid/monocytoid cells within the initial 2 wk, CD19 (cid:1) /pre-BCR (cid:2) pro-B cells emerged, of which 25–50% expressed the IL-7R. FACS-puriﬁed CD19 (cid:1) / IL-7R (cid:1) cells were larger and, when replated on MS-5, underwent a dose-dependent proliferative response to exogenous human IL-7 (0.01–10.0 ng/ml). Furthermore, STAT5 phosphorylation was induced by the same concentrations of human IL-7. CD19 (cid:1) / IL-7R (cid:2) cells were smaller and did not proliferate on MS-5 after stimulation with IL-7. In a search for cytokines that promote human B cell development in the cord blood stem cell/MS-5 culture, we made the unexpected ﬁnding that murine IL-7 plays a role. Murine IL-7 was detected in MS-5 supernatants by ELISA, recombinant murine IL-7 induced STAT5 phosphorylation in CD19 (cid:1) / IL-7R (cid:1) pro-B cells and human B-lineage acute lymphoblastic leukemias, and neutralizing anti-murine IL-7 inhibited development of CD19 (cid:1) cells in the cord blood stem
Large Fixed-Diameter Graphs are Good Expanders

We revisit the classical question of the relationship between the diameter of a graph and its expansion properties. One direction is well understood: expander graphs exhibit essentially the lowest possible diameter. We focus on the reverse direction, showing that "sufficiently large" graphs of fixed diameter and degree must be "good" expanders. We prove this statement for various definitions of "sufficiently large" (multiplicative/additive factor from the largest possible size), for different forms of expansion (edge, vertex, and spectral expansion), and for both directed and undirected graphs. A recurring theme is that the lower the diameter of the graph and (more importantly) the larger its size, the better the expansion guarantees. Aside from inherent theoretical interest, our motivation stems from the domain of network design. Both low-diameter networks and expanders are prominent approaches to designing high-performance networks in parallel computing, HPC, datacenter networking, and beyond. Our results establish that these two approaches are, in fact, inextricably intertwined. We leave the reader with many intriguing questions for future research.
Novel excitation-contraction coupling related genes reveal aspects of muscle weakness beyond atrophy—new hopes for treatment of musculoskeletal diseases

Research over the last decade strengthened the understanding that skeletal muscles are not only the major tissue in the body from a volume point of view but also function as a master regulator contributing to optimal organismal health. These new contributions to the available body of knowledge triggered great interest in the roles of skeletal muscle beyond contraction. The World Health Organization, through its Global Burden of Disease (GBD) report, recently raised further awareness about the key importance of skeletal muscles as the GDB reported musculoskeletal (MSK) diseases have become the second greatest cause of disability, with more than 1.7 billion people in the globe affected by a diversity of MSK conditions. Besides their role in MSK disorders, skeletal muscles are also seen as principal metabolic organs with essential contributions to metabolic disorders, especially those linked to physical inactivity. In this review, we have focused on the unique function of new genes/proteins (i.e., MTMR14, MG29, sarcalumenin, KLF15) that during the last few years have helped provide novel insights about muscle function in health and disease, muscle fatigue, muscle metabolism, and muscle aging. Next, we provide an in depth discussion of how these genes/proteins converge into a common function of acting as regulators of intracellular calcium homeostasis. A clear link between dysfunctional calcium homeostasis is established and the special role of store-operated calcium entry is analyzed. The new knowledge that has been generated by the understanding of the roles of previously unknown modulatory genes of the skeletal muscle excitation-contraction coupling (ECC) process brings exciting new possibilities for treatment of MSK diseases, muscle regeneration, and skeletal muscle tissue engineering. The next decade of skeletal muscle and MSK research is bound to bring to fruition applied knowledge that will hopefully offset the current heavy and sad burden of MSK diseases on the planet.
HIV-1 Reverse Transcriptase Still Remains a New Drug Target: Structure, Function, Classical Inhibitors, and New Inhibitors with Innovative Mechanisms of Actions

During the retrotranscription process, characteristic of all retroviruses, the viral ssRNA genome is converted into integration-competent dsDNA. This process is accomplished by the virus-coded reverse transcriptase (RT) protein, which is a primary target in the current treatments for HIV-1 infection. In particular, in the approved therapeutic regimens two classes of drugs target RT, namely, nucleoside RT inhibitors (NRTIs) and nonnucleoside RT inhibitors (NNRTIs). Both classes inhibit the RT-associated polymerase activity: the NRTIs compete with the natural dNTP substrate and act as chain terminators, while the NNRTIs bind to an allosteric pocket and inhibit polymerization noncompetitively. In addition to these two classes, other RT inhibitors (RTIs) that target RT by distinct mechanisms have been identified and are currently under development. These include translocation-defective RTIs, delayed chain terminators RTIs, lethal mutagenesis RTIs, dinucleotide tetraphosphates, nucleotide-competing RTIs, pyrophosphate analogs, RT-associated RNase H function inhibitors, and dual activities inhibitors. This paper describes the HIV-1 RT function and molecular structure, illustrates the currently approved RTIs, and focuses on the mechanisms of action of the newer classes of RTIs.
A benchmark dataset to evaluate sensor displacement in activity recognition

This work introduces an open benchmark dataset to investigate inertial sensor displacement effects in activity recognition. While sensor position displacements such as rotations and translations have been recognised as a key limitation for the deployment of wearable systems, a realistic dataset is lacking. We introduce a concept of gradual sensor displacement conditions, including ideal, self-placement of a user, and mutual displacement deployments. These conditions were analysed in the dataset considering 33 fitness activities, recorded using 9 inertial sensor units from 17 participants. Our statistical analysis of acceleration features quantified relative effects of the displacement conditions. We expect that the dataset can be used to benchmark and compare recognition algorithms in the future.
Nutrient regulation in relation to diet breadth: a comparison of Heliothis sister species and a hybrid

SUMMARY We examined the nutritional correlates of diet breadth in insect herbivores by comparing patterns of diet selection, nutrient balancing, post-ingestive utilization and development in two sister species of caterpillar and a hybrid between them. One species, Heliothis virescens (HV) has a broad host range, feeding on plants in at least 14 families. The other, Heliothis subflexa (HS), is a specialist on plants in the genus Physalis (Solanaceae). Experiments using synthetic foods showed that when the caterpillars were allowed to mix their diet, the generalist self-selected a higher-protein diet whereas the specialist ate almost equal amounts of protein and carbohydrate, which accords with differences between the two species in the nutrient content of their natural diets. When confined to nutritionally imbalanced diets, the generalist showed a propensity to over-eat high protein:carbohydrate (P:C) diets to a greater degree than did the specialist and maintained higher rates of development. The generalist did not, however, over-eat low P:C diets to the same degree as the specialist. The hybrid selected a diet composition that was indistinguishable to that of its generalist father (HV), while its response to imbalanced diets was closely similar to that of the specialist mother (HS). The generalist converted ingested nutrient to growth with lower efficiency than did the specialist and the hybrid. Our findings imply that different behavioural and physiological traits linked to nutrient regulation are under genetic control and are explicable in terms of the different life-histories, feeding ecologies and presumed levels of nutritional heterogeneity in the environments of the two insects.
An interval matrix game and its extensions to fuzzy and stochastic games (Development of the optimization theory for the dynamic systems and their applications )

In this paper, we consider an interval matrix game with interval valued payoﬀs, which is the generation of the traditional matrix game. The “saddle-points”of this interval matrix game are deﬁned and characterized as equilibrium points of corresponding non-zero sum parametric games. Numerical examples are given to illustrate our idea. These results are extended to the fuzzy matrix games. Also, we formulate two person zero-sum stochastic interval games.
Side-Information Generation for Temporally and Spatially Scalable Wyner-Ziv Codecs

The distributed video coding paradigm enables video codecs to operate with reversed complexity, in which the complexity is shifted from the encoder toward the decoder. Its performance is heavily dependent on the quality of the side information generated by motio estimation at the decoder. We compare the rate-distortion performance of different side-information estimators, for both temporally and spatially scalable Wyner-Ziv codecs. For the temporally scalable codec we compared an established method with a new algorithm that uses a linear-motion model to produce side-information. As a continuation of previous works, in this paper, we propose to use a super-resolution method to upsample the nonkey frame, for the spatial scalable codec, using the key frames as reference. We verify the performance of the spatial scalable WZ coding using the state-of-the-art video coding standard H.264/AVC.
Communicating about patient sexuality and intimacy after cancer: mismatched expectations and unmet needs

The Medical Journal of Australia ISSN: 0025-729X 5 March 2007 186 5 224-227 ©The Medical Journal of Australia 2007 www.mja. com.au Research health professionals in cancer and palliative care settings rarely communicate about patient sexuality and intimacy, but little is known about why. Published studies mostly have explored the narrow relationship between the impact of cancer treatment on a patient’s “sexual at 15 Setti Parti had w Main need
A Review of the Resilience at Abroad

Resilience is the hot problem in positive psychology.Since the 1970s to 1980s,the research of resilience had been put forward not only in theories,models,but also methods.This paper systematically introduced the concepts of resilience from three perspectives: outcome,process,and character,and concluded theoretical models and metrical instruments of resilience in different age stage based on the development characteristics of participants,finally tried to advance the trends of resilience in future from the angle of practical problem.
Individual Differences in Scanpaths Correspond with Serotonin Transporter Genotype and Behavioral Phenotype in Rhesus Monkeys (Macaca mulatta)

Scanpaths (the succession of fixations and saccades during spontaneous viewing) contain information about the image but also about the viewer. To determine the viewer-dependent factors in the scanpaths of monkeys, we trained three adult males (Macaca mulatta) to look for 3 s at images of conspecific facial expressions with either direct or averted gaze. The subjects showed significant differences on four basic scanpath parameters (number of fixations, fixation duration, saccade length, and total scanpath length) when viewing the same facial expression/gaze direction combinations. Furthermore, we found differences between monkeys in feature preference and in the temporal order in which features were visited on different facial expressions. Overall, the between-subject variability was larger than the within- subject variability, suggesting that scanpaths reflect individual preferences in allocating visual attention to various features in aggressive, neutral, and appeasing facial expressions. Individual scanpath characteristics were brought into register with the genotype for the serotonin transporter regulatory gene (5-HTTLPR) and with behavioral characteristics such as expression of anticipatory anxiety and impulsiveness/hesitation in approaching food in the presence of a potentially dangerous object.
Ubiquitous Computing & The Role of Geometry

Barry Brumitt, John Krumm, Brian Meyers, Steven Shafer {barry, jckrumm, brianme, stevensh}@microsoft.com Microsoft Research Abstract Mark Weiser described ubiquitous computing as, “invisible, everywhere computing that does not live on a personal device of any sort, but is in the woodwork everywhere. ”[11] The EasyLiving project at Microsoft Research is focused on those aspects of ubiquitous computing relevant to smart environments, including work in distributed computing, geometric world modeling, computer vision, and user interfaces. Though the need for research in distributed computing, perception, and interfaces is widely recognized, the importance of an explicit geometric world model for ubiquitous computing has not been well-articulated. This paper elucidates the role of geometry in ubiquitous computing, offering example scenarios which require or benefit greatly from geometric knowledge, and describing four primary benefits of a geometric model.
Swarm Intelligence Techniques for Optimization in Data Clustering

Clustering represents the large datasets by a structured well defined number of clusters or prototypes. K-Means is a useful technique to data clustering which partitions the data into K-Clusters. However, the results of k-means algorithm are based on the selection of initial seeds and converge to local optimum solution. The Swarm Intelligence (SI) is an algorithm to apply many simple agents behaviour which inn terns lead to an emergent global behaviour solution. Data mining tasks require fast and accurate partitioning of large datasets, which may come with a number of attributes or features. The Swarm Intelligence Optimization Techniques like ACO and PSO has successfully been applied to a number of real world clustering problems in order to meet the clustering requirement. This paper surveys the research work in the area of swarm intelligence for solving clustering problems. The new clustering model is proposed using the merits of ACO and PSO to overcome the drawback of k-means clustering algorithm.
Alexey Chervonenkis's bibliography: introductory comments

This introduction to Alexey Chervonenkis’s bibliography, which is published next in this issue, mainly consists of historical notes. The bibliography is doubtless incomplete, and it is just a first step in compiling more comprehensive ones. En route we also give some basic information about Alexey as a researcher and person; for further details, see, e.g., the short biography (Editors, 2015) in the Chervonenkis Festschrift. In this introduction, the numbers in square brackets refer to Chervonenkis’s bibliography, and the author/year citations refer to the list of references at the end of this introduction. Alexey Chervonenkis was born in Moscow in 1938. In 1955 he became a student at the MIPT, Moscow Institute of Physics and Technology (Faculty 1, Radio Engineering, nowadays Radio Engineering and Cybernetics). As part of his course of studies at the MIPT, he was attached to a laboratory at the ICS (the Institute of Control Sciences, called the Institute of Automation and Remote Control at the time), an institution in a huge system known as the Soviet Academy of Sciences.