Miracle-dz/UniFAR-FTUs huggingface dataset:
Advance Publication by J-STAGE Mechanical Engineering Journal

In present study, human subject experiment including sensory evaluation was conducted to investigate gripping comfort during gripping spherical and columnar objects and to identify important factors that affect gripping comfort score. Contact pressure measurement using a pressure sensor sheet and fingers posture measurement using a motion capture system during each gripping task were then carried out to investigate the individual differences in gripping style and to reveal the differences in fingers posture according to the shapes of the test objects. As a result, significant differences in the gripping comfort score between male and female could not be found in all test objects. Additionally, the coefficients of determination of the relationship between the gripping comfort score and hand length and between the gripping comfort score and hand breadth were considered low in all test objects. Furthermore, a hierarchical cluster analysis of contact pressure distribution demonstrated that two gripping styles during gripping a cylinder existed in present study. Joint angles around x-axes of PIP joints of the middle finger and the ring fingers, around y-axis of CM joint of the thumb and around y-axes of MCP joints of the five fingers varied according to the gripping styles. Moreover, significant differences in 11 joint angles among test objects were confirmed based on the analysis result of fingers posture. This result indicates that fingers posture during gripping changes with the change of the shape of the test object. The results of present study provide information regarding important factors that should be considered or may not be considered during the evaluation and improvement of the gripping comfort of a manufactured product. (CM) (MCP) two and one of (IP) thumb and proximal interphalangeal (PIP) joints as well as the distal interphalangeal (DIP) joints of the remaining four fingers.
BUILDING SUSTAINABLE COMMUNITIES USING SENSE OF PLACE INDICATORS IN THREE HUDSON RIVER VALLEY, NY, TOURISM DESTINATIONS: AN APPLICATION OF THE LIMITS OF ACCEPTABLE CHANGE PROCESS

Th is study explores whether measures of residents' sense of place can act as indicators in the Limits of Acceptable Change (LAC) process to facilitate tourism planning and management. Data on community attributes valued by residents and the associated values and meanings were collected through focus groups with 27 residents in three Hudson River Valley, New York, communities. Data analysis found that strength of sense of place changes over time, as do the meanings and values associated with places. Th e quantifi cation of sense of place required to establish limits makes it diffi cult to incorporate evolving place meanings. Th erefore, sense of place scales are not indicators that easily conform to the LAC framework. Tourism development proposals that alter places may alter place meanings. Understanding residents' sense of place is the fi rst step in establishing a framework for evaluating such proposals.
Vehicle Tracking Based on Historical Intersection Over Union

VEHICLE TRACKING BASED ON HISTORICAL INTERSECTION OVER UNION by Shuai Hua Multi-object tracking (MOT) could be applied to many video analysis scenarios, such as vehicle speed estimation, vehicle re-identification, and vehicle abnormal behavior detection. A tracking task can be formulated as a data association problem, for which there exist many different types of solutions. Track-by-detection is one of the most common approaches for the MOT task. In this paradigm, the tracking algorithm relies on the detection results to decide whether detected vehicles in sequential frames belong to the same track. In our work, we developed a reliable vehicle tracker following this paradigm, while considering the balance between tracking efficiency and tracking performance. Our algorithm extends the existing intersection over union (IOU) tracker and improves upon it by fusing historical tracking information. In addition, our tracker allows tuning certain hyperparameters that lead to improved results, including the minimum confidence score, the maximum confidence score, the IOU threshold, and the length of a candidate track. We demonstrated the effectiveness and efficiency of our approach using the UA-DETRAC benchmark dataset. Our proposed approach runs at an average speed of 28 frames per second (fps), which is 16 faster than one of the baselines but 24 times slower than the other. With regard to effectiveness, however, our approach outperforms both baseline methods by more than 20% in most of the tracking performance metrics and achieves a 60% performance improvement in certain cases. We conclude that our tracker, which balances running speed and performance, could be useful for applications running in a real-time environment.
Robust human motion recognition from wide-angle images for video surveillance in nuclear power plants

Installation of surveillance cameras in nuclear power plants is critical to protecting the facilities against terrorist attacks or monitoring the reactor operator. This has led to large amounts of video surveillance data, creating a demand for automatic detection of anomalies or suspicious movements. Tracking human motion from video sequences is a notable technique used for detecting anomalies in human behavior and is currently achieved with the use of a depth camera. However, depth cameras require a complicated camera system and their field of view is limited. To overcome this problem, there is a need for recognizing human motion in wide-angle images – a view that often causes distortion. In this study, we devised a method for tracking human motion through wide-angle image distortion. The main contribution of this study is a methodology that automatically estimates the transformation parameters needed to improve the accuracy of motion recognition; these parameters are applied to a distorted wide-angle image in every frame. We propose a new multi-layered convolutional neural architecture for estimating the locations of human joints in images and transformation parameters simultaneously. When applied to distorted wide-angle images, the robustness of our method is demonstrated through a quantitative evaluation of human joint prediction. In addition, we compare our method with a motion tracking system and an infrared-camera-based motion capture system to demonstrate its ability to handle wide-angle and close-range images.
Advance Publication by J-STAGE Mechanical Engineering Journal

This paper presents a new structural design framework that incorporates the concept of topology optimization and genetic algorithms to improve the manufacturability and structural robustness of the optimal structure. The level set function is employed as a topological design variable to obtain clear structural boundaries, and the manufacturability of the structure is mathematically defined based on the manufacturing directions and the fictitious heat fluxes. To gain the manufacturable structure design, the optimization problem is formulated to find both the optimal shape of the structure and the optimal directions of the adjustable manufacturing tools. A level set­based optimization regarding manufacturability has been studied in previous papers, however, due to the influence of the manufacturing directions, the objective value tends to captured in local optima as the structure becomes more complex. To cope with this issue, we decided to adapt an heuristic based approach, genetic algorithm, to the optimization method. Simultaneously, to reduce the computation time, we applied Design of Experiments for the initial population of the genetic algorithm. The initial population of the manufacturing directions is installed using Latin Hypercube sampling for both a good representation and computational efficiency. To demonstrate the effectiveness of the proposed method, several design examples are provided, and the differences from the optimal solution, derived by a previous gradient­based optimization scheme, are mentioned.
Partying on and on: Can we reconcile celebratory intangible heritage practices, spirit of place and sustainability?

This paper asks the provocative question – what happens if heritage practices that use energy and other resources in abundant quantities, though considered fine by International Best Practices (IBP) of heritage management, are found to be in opposition to the achievement of sustainability? Much that is considered intangible heritage today had its beginnings in a very different world to ours now. It was one with a smaller population with few affluent people, more abundant non-renewable resources and much less interconnection. Now almost everything we do affects others in some way. Should we start to adopt a greater concern than in the past with resource use and sustainability? In order to reach a more balanced approach, should action be taken to prevent “the party” from being shut down at a later stage? This paper will look at examples of intangible heritage practices (e.g. festivals, celebrations, food related customs, and some common beliefs).
Appendix for CapDet: Unifying Dense Captioning and Open-World Detection Pretraining

The detailed architecture parameters for different modules of CapDet are shown in Table 1. For the learning rate scheduler, we assign a base learning rate and then linearly warm it up to the peak learning rate according to the effective total batch size by a square root strategy, lrpeak = lrbase × √ batchsize/16, e.g., we set image encoder base learning rate to 1× 10−4 and it automatically scales to 1.4× 10−4. The training hyperparameters used for CapDet are shown in Table 2.
Strange quark mass (m s ) dependent model of anisotropic strange quark star

This article presents the configuration of strange quark stars in hydrostatic equilibrium considering the Vaidya-Tikekar metric ansatz. The interior of such stars comprises strange quark matter (henceforth SQM), whose equation of state ( ) is described by the MIT EoS , where B is the difference between perturbative and non-perturbative vacuum. We have included the mass of the strange quark into the EoS and studied its effect on the overall properties of the strange quark star in this work. It is observed that the maximum mass reaches its highest value when . We have evaluated the range of the maximum mass of the strange quark star by solving the TOV equation for necessary for stable strange quark matter at a zero external pressure condition with respect to neutrons. Maximum mass lies within the range of to when B ranges from to and . It is noted that the maximum mass decreases with an increase in . Our model is found suitable for describing the mass of pulsars such as PSR J1614-2230 and Vela X-1 and the secondary objects in the GW170817 event. The model is also useful in predicting the radius of the recently observed pulsars PSR J0030+0451, PSR J0740+6620, and PSR J0952-0607 and the secondary objects in the GW170817 and GW190814 events. Our model is found to be stable with respect to all stability criteria of the stellar configurations and is also stable with respect to small perturbations.
Upgrade of water resources maps from Mato Grosso do Sul state using geotechnologies

The objective of this work is to present the methods used and results obtained in the activities of upgrading water resources maps from Mato Grosso do Sul State. The geographic boundaries of the hydrographic sub-basins or Planning and Management Units (UPG) were upgraded using an algorithm based on D8 (Deterministic Eight-neighbor Method) applied to the Digital Elevation Model (DEM) of the State. The digital hydrographic network was corrected and upgraded from medium resolution satellite images CCD/CBERS-2B, at 1:100,000 scale. The results obtained with these activities constitute a significant improvement on the information of water resources available for the State, although some inconsistencies occurred in the Pantanal flatlands, where minimal or nil height changes jeopardized the analysis of water features, as well as the performance of the algorithm to delimit hydrographic basins. The resulting vector dataset of these upgrading activities is available at SISLA (Interactive System for Environmental Licensing Support), a web tool managed by Mato Grosso do Sul State for the evaluation of environmental licensing processes, which will contribute to improve the management of water resources from this State.
Review paper: Computerized clinical decision support for prescribing: provision does not guarantee uptake

There is wide variability in the use and adoption of recommendations generated by computerized clinical decision support systems (CDSSs) despite the benefits they may bring to clinical practice. We conducted a systematic review to explore the barriers to, and facilitators of, CDSS uptake by physicians to guide prescribing decisions. We identified 58 studies by searching electronic databases (1990-2007). Factors impacting on CDSS use included: the availability of hardware, technical support and training; integration of the system into workflows; and the relevance and timeliness of the clinical messages. Further, systems that were endorsed by colleagues, minimized perceived threats to professional autonomy, and did not compromise doctor-patient interactions were accepted by users. Despite advances in technology and CDSS sophistication, most factors were consistently reported over time and across ambulatory and institutional settings. Such factors must be addressed when deploying CDSSs so that improvements in uptake, practice and patient outcomes may be achieved.
Characterization of the Major Ions of Coal Creek Near Cedar City, Utah

The major ions of Coal Creek near Cedar City, in southwest Utah, were measured to determine if there were any differences in ion concentrations in July of 2014 as compared with spring measurements of 2012 and 2013. Past analyses have shown higher ion concentrations in lower regions of Coal Creek despite the apparent lack of water input. This research is aimed to better characterize these abrupt increases in concentration and determine if these trends varied when samples were acquired in the summer vs. in the spring when sample acquisition has occurred in the past. Environmental water samples were collected at evenly spaced locations in Coal Creek from State Route 14 Mile Marker 7 westward to where the creek intersects with Main Street in Cedar City. Ion concentrations were determined in water samples collected every other day for 3 consecutive weeks using Ion Chromatography (IC) and Atomic Absorption Spectroscopy (AA). The spatially intensive sampling revealed two previously unknown low volume springs that are highly concentrated in the major ions and discharge into the creek. Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) was used to characterize trace metal concentrations within the water tributaries, in addition to IC to determine bulk anion content in the creek. The high ion concentrations of springs correlated well with known geologic features near the creek, such as faulted gypsum layers creating springs as well as evaporate deposits, both of which explain the doubling of ion concentrations seen in the examined section of Coal Creek.
Decomposing complete 3-uniform hypergraph K_{n}^{(3)} into 7-cycles

We use the Katona-Kierstead definition of a Hamiltonian cycle in a uniform hypergraph. A decomposition of complete \(k\)-uniform hypergraph \(K^{(k)}_{n}\) into Hamiltonian cycles was studied by Bailey-Stevens and Meszka-Rosa. For \(n\equiv 2,4,5\pmod 6\), we design an algorithm for decomposing the complete 3-uniform hypergraphs into Hamiltonian cycles by using the method of edge-partition. A decomposition of \(K^{(3)}_{n}\) into 5-cycles has been presented for all admissible \(n\leq17\), and for all \(n=4^{m}+1\) when \(m\) is a positive integer. In general, the existence of a decomposition into 5-cycles remains open. In this paper, we show if \(42~|~(n-1)(n-2)\) and if there exist \(\lambda=\frac{(n-1)(n-2)}{42}\) sequences \((k_{i_{0}},k_{i_{1}},\ldots,k_{i_{6}})\) on \(D_{all}(n)\), then \(K^{(3)}_{n}\) can be decomposed into 7-cycles. We use the method of edge-partition and cycle sequence. We find a decomposition of \(K^{(3)}_{37}\) and \(K^{(3)}_{43}\) into 7-cycles.
Magnesium Deficiency is Associated with Periodontal Disease

In the multifactorial pathogenesis of periodontitis, there are still unknown factors influencing the outcome of the disease. An association between magnesium and periodontitis has been suggested by preliminary studies. However, relevant clinical data are lacking. We investigated the association between magnesium status and periodontal health in a population-based analysis. We conducted a cross-sectional epidemiological investigation involving 4290 subjects aged 20–80 yrs. We recorded periodontal risk factors and determined concentrations of serum magnesium and calcium, relating them to periodontal parameters. In a matched-pair study, 60 subjects using oral magnesium-containing drugs and 120 without were compared. In subjects aged 40 yrs and older, increased serum Mg/Ca was significantly associated with reduced probing depth (p < 0.001), less attachment loss (p = 0.006), and a higher number of remaining teeth (p = 0.005). Subjects taking Mg drugs showed less attachment loss (p < 0.01) and more remaining teeth than did their matched counterparts. These results suggest that nutritional magnesium supplementation may improve periodontal health.
The survival of coral reefs requires integrated watershed-based management activities and marine conservation

oral reefs are the most diverse of all marine ecosystems, and they are rivaled in biodiversity by few terrestrial ecosystems. They support people directly and indirectly by building islands and atolls. They protect shorelines from coastal erosion, support fisheries of economic and cultural value, provide diving-related tourism and serve as habitats for organisms that produce natural products of biomedical interest. They are also museums of the planet’s natural wealth and places of incredible natural beauty. Despite their recognized biological, economic and aesthetic value, coral reefs are being destroyed at an alarming rate throughout the world. Some countries have seen 50 percent of their coral reefs destroyed by human activities in the past 15 years. Some human influences are acute—for example, mining reefs for limestone, dumping mine tailings on them, fishing with explosives and cyanide, and land reclamation. Reefs that experience such insults often die; those that deteriorate but survive cannot recover to their original health as long as the disturbances continue. In other countries the disturbances are more chronic than acute. Reefs are assaulted by muddy runoff, nutrients and pesticides from adjacent river catchments, overfishing and global-warming effects. These disturbances affect the key parameters permitting reef resilience: water and substratum quality. As a result, corals fail to reproduce successfully, and the coral larvae arriving from more pristine reefs are unable to settle and thrive on substrata covered by mud, cyanobacteria or fleshy algae. Coral populations thus fail to recover or reestablish themselves. Can science help save coral reefs? Despite much talk about managing coral reefs, the potential role of science is limited. But it is important: Scientists can demonstrate the key processes controlling the health of coral reefs and how human activities damage them. Then, we can hope, land-use managers and marine-resources managers will be able to modify human behavior to reduce or reverse damage to coral reefs. Toward this end we have developed a large-scale model for illuminating reef degradation and predicting the impact of future human activity.
Self-Care and Quality of Life Among Adult Patients With Heart Failure: Scoping Review

Introduction Although self-care has a therapeutic effect on heart failure (HF), patients experience a marked reduction in physical and executive function, resulting in poor quality of life (QoL). A literature review revealed limited evidence regarding the possible relationship between self-care and QoL in HF patients. Therefore, this scoping review aimed to identify scientific evidence that examines the extent of self-care, QoL, and relationship between self-care and QoL in patients with HF. Methods Full-text research published from March 23, 2010, to March 23, 2020, written in English, that had content on both self-care and QoL among adult patients with HF was included. A literature search of electronic databases and web searches was conducted for published articles. Four databases were used: MEDLINE, Scopus, Web of Science, and the Cochrane Library. Studies collected from Google and Google Scholar web searches were also included. Results Of 1,537 papers identified by the search, 12 were included. The reviewed studies included 3,127 patients. Ten articles used a cross-sectional study design, whereas the remaining articles used a longitudinal and quasi-experimental design. This review found that the extent of self-care practices among patients with HF was inadequate, a significant proportion of patients enrolled in the reviewed studies had a moderate QoL, and higher self-care practices were associated with a better QoL. Self-care behavior and QoL were affected by social support, sex, age, educational level, place of residence, illness knowledge, presence of comorbidities, and functional classification of HF. Conclusion Self-care behavior was positively correlated with QoL in patients with HF. Self-care and QoL in these patients have been reported to be affected by several factors. Further research with a rigorous study design is recommended to investigate the influence of self-care practices on QoL in patients with HF.
Identification of miRNAs and Their Target Genes Involved in Cucumber Fruit Expansion Using Small RNA and Degradome Sequencing

Fruit expansion is an essential and very complex biological process. Regulatory roles of microRNAs (miRNAs) and miRNA–mRNA modules in the cucumber fruit expansion are not yet to be investigated. In this work, 1253 known and 1269 novel miRNAs were identified from nine cucumber fruit small RNA (sRNA) libraries through high-throughput sequencing. A total of 105 highly differentially expressed miRNAs were recognized in the fruit on five days post anthesis with pollination (EXP_5d) sRNA library. Further, expression patterns of 11 differentially expressed miRNAs were validated by quantitative real-time PCR (qRT-PCR). The expression patterns were similar to sRNAs sequencing data. Transcripts of 1155 sequences were predicted as target genes of differentially expressed miRNAs by degradome sequencing. Gene Ontology (GO) enrichment showed that these target genes were involved in 24 biological processes, 15 cell components and nine molecular functions. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis demonstrated that these target genes were significantly enriched in 19 pathways and the enriched KEGG pathways were associated with environmental adaptation, signal transduction and translation. Based on the functional prediction of miRNAs and target genes, our findings suggest that miRNAs have a potential regulatory role in cucumber fruit expansion by targeting their target genes, which provide important data for understanding the miRNA-mediated regulatory networks controlling fruit expansion in cucumber. Specific miRNAs could be selected for further functional research and molecular breeding in cucumber.