Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multisite Study on the Effect of a Urinary Incontinence Self-Management Program on Community-Dwelling Older Women in Korea

PURPOSE: The purpose of this study was to evaluate the effects of a urinary incontinence (UI) self-management program on UI symptoms, knowledge, and self-efficacy in community-dwelling older women. DESIGN: A 1-group pretest-posttest design. SUBJECTS AND SETTING: Participants were recruited from 14 primary healthcare posts (PHCPs) in South Chungcheong Province, rural South Korea. A total of 163 women participated in a 5-session UI self-management program. METHODS: The UI self-management program was sequentially conducted across 14 PHCPs between May and November 2016. In each PHCP, 6 to 22 women participated in the program. The program consisted of weekly 90-minute sessions that were conducted across 5 weeks. Each session included a lecture on UI, reflective discussion, pelvic floor muscle training, and the assignment of homework (exercises and a daily bladder diary). Main outcome variables were measured using the International Consultation on Incontinence Questionnaire-Short Form (ICIQ-SF), Urinary Incontinence Knowledge Scale (UIKS), and Geriatric Self-Efficacy Index for Urinary Incontinence (GSE-UI), which were administered before and after the intervention. Descriptive statistics were computed, and Wilcoxon signed-rank tests analyzed the data. RESULTS: The intervention resulted in a significant decrease in the ICIQ-SF scores, which was indicative of improvement in UI severity (pretest: 6.64 [SD 6.15], posttest: 4.76 [SD 5.08], P = .001), significant increases in the UIKS (pretest: 15.69 [SD 6.36], posttest: 23.14 [SD 5.54], P = .001] and GSE-UI (pretest: 75.34 [SD 31.80], [posttest: 86.20 [SD 27.06], P = .001) scores. CONCLUSIONS: The UI self-management program improved UI symptoms, knowledge, and self-efficacy among community-dwelling older women.
genomics to the conservation

Background: Genomic studies in non-domestic avian models, such as the California condor and white-throated sparrow, can lead to more comprehensive conservation plans and provide clues for understanding mechanisms affecting genetic variation, adaptation and evolution. Developing genomic tools and resources including genomic libraries and a genetic map of the California condor is a prerequisite for identification of candidate loci for a heritable embryonic lethal condition. The white-throated sparrow exhibits a stable genetic polymorphism (i.e. from Avian Genomics Conference and GO Annotation Workshop
CREATING SPACE FOR CONNECTION: CREATIVITY IN THE CLASSROOM

This column is designed to underscore relationally-based creative teaching practices used by counselor educators in the classroom. Our intention is to provide examples of novel, innovative ways for counselor educators and students to deepen their learning while collaborating toward a spirit of connection and cooperation. If you have implemented a creative teaching method, or if you have adapted an existing method that you would like to share with readers, please follow submission guidelines in the author information packet available at http://www.creativecounselor. org/Journal.html.
Intra-operative 3D micro-coil imaging using subsampled tomographic acquisition patterns on a biplane C-arm system

—The restriction of CBCT to micro-coil imaging allows for integrating key a priori knowledge that a coil is a high-density spatially sparse curvilinear structure. In this paper, we investigate acquisition patterns speciﬁcally designed for biplane systems allowing a faster workﬂow and reduced dose. Each pattern is a subsampling of a standard tomographic acquisition reconstructed with an ` 1 -constrained algorithm to promote sparsity together with diffusion ﬁlters that promote the curvilinear nature of the coil. Three tensor-based 3D diffusion ﬁlters are investigated. Quantitative and qualitative results are provided for one coil and four patients datasets. They show how the reconstruction performs according to the selected acquisition pattern (uniform versus non-uniform subsampling), the quantity of missing information and the selected diffusion ﬁlter. We observed a systematically better recovery of the coil in reconstructions obtained using a uniform subsampling pattern but at the cost of being systematically noisier than those obtained with a non-uniform subsampling pattern. Diffusion ﬁltering signiﬁcantly reduced this structural noise.
An Innovative Mobile Learning Acceptance Model for Out-of-Classroom Learning

Mobile learning can positively impact learning in different aspects, but the retention rate of mobile learning apps is unsatisfactory. Based on the Technology Acceptance Model and the updated DeLone and McLean Information System Success Model, this study develops an innovative model to examine factors impacting learners’ acceptance of mobile learning outside the classroom. Six hundred eighty-one adults in the US participated in this study, and structural equation modeling was used for data analysis. Results indicate that perceived usefulness, perceived ease of use, mobility, compatibility, and service quality are significant determinants of learners’ behavioral intention to use mobile learning outside the classroom.
Identification of High-Risk Single Nucleotide Polymorphisms (SNPs) of Epidermal Growth Factor Receptor (EGFR) and Their Interaction with Various TKI Drugs

sup-Objectives: Epidermal growth factor receptor (EGFR) is the membrane receptor of tyrosine kinase family that plays crucial role in cell growth, cell division and cell survival. Upregulation of EGFR gene has been seen in various cancer types due to mutations. As non-synonymous single nucleotide polymorphisms (nsSNPs) are responsible for half of the genetic variations that are responsible of human diseases, it is crucial to analyze putative functional nsSNPs. Therefore, we aimed to identify nsSNPs of EGFR gene and evaluate their effect on its protein receptor. We also docked the mutant type protein structures with common tyrosine kinase inhibitor (TKIs) to showcase their stability with one another. Methods: We observed five novel nsSNPs (E330K, K745R, R962H, R675Q and S752Y) that are present in different domains of EGFR using various bioinformatics tools and simultaneously predicted their deleterious effects on EGFR. Furthermore, docking studies were carried out with three of the common TKIs (erlotinib, gefitinib, canertinib). Results: Mutant type K745R was predicted to be potentially more damaging than other mutants due to its presence in highly conserved region of EGFR protein receptor and its ability to affect protein stability. Conclusion: As this study is the first comprehensive study of these novel nsSNPs of EGFR, the results of this study would be crucial for future studies, drug discovery and development of personalized medicine. Although along with in-silico characterisation of nsSNPs clinical population-based studies are essential.
Integrating OWL Ontologies and Rules: A Case Study on Landslide Detection

This work is focused on a subset of the geospatial domain that concerns landslide detection, which was represented as a hybrid OWL -log ontology. OWL -log is an existing implementation of the AL - log hybrid knowledge representation system where the Description Logics component is extended to the Web Ontology Language OWL DL. Knowledge in hybrid OWL -log ontologies is distributed in its two components: OWL and Datalog subsystems. However, a portion of the hybrid ontology knowledge base may be represented in both. We denote this portion as Knowledge Base Intersection (KBI). We studied diﬀer-ent KBI representations in the two subsystems, and their relationship to query performance. A query benchmark was deﬁned to support landslide hazard areas detection. Combinations of three factors were studied: KBI representation, query-answering strategy (pre-compilation or dynamic) and dataset size. The results show that KBI representation aﬀects query execution time, specially when knowledge base size increases.
Systematic Literature Review Protocol for Green Software Multi-sourcing with Preliminary Results

: Green Software Engineering is a research area gaining reputation rapidly in order to create green software. Software development multi-sourcing is a modern Global Software Engineering (GSE) pattern for creating high quality software at minimum cost and time at low wages countries by contracting out the software development work to multiple vendors located at multiple geographical locations across the globe. Green Software multi-sourcing is a modern research area which lies at the intersection of both the aforementioned research areas (Green Software Engineering and Software Multi-Sourcing). The goal of this paper is to present the systematic literature review (SLR) protocol which has been developed, validated and in the process of implementation. The implementation of the SLR protocol will yield in the identification of success/risk factors, and real-world green practices to be considered by multi-sourcing vendor organizations that can contribute towards the development of green and sustainable software. Systematic Literature Review procedure has been used as research practice. SLR is a new research method in software engineering which is dissimilar from conventional literature analysis. SLR is more comprehensive and is grounded on a pre-defined protocol. We have developed a Systematic Literature Review (SLR) protocol and are currently in the process of its implementation. The anticipated conclusions of the SLR execution will be the identification of success/risk factors and practices that can contribute towards the development of green software in multi-sourced projects.
Resource Description Framework and Topic Maps: Complementary or Competitive?

: Resource Description Framework (RDF) and Topic Maps (TMs) are the two prominent technologies, envisioned for realizing Semantic Web. RDF and Topic Maps are independent technologies developed by separate organizations, both providing mechanisms for enriching web contents with metadata for representing semantic relationships among them. This, ultimately, makes the Web more useful and ‘understandable’ both for humans and machines and improves knowledge sharing and integration across different domains. Both of these standards have established their respective user-communities. Because of using different semantic representation mechanisms, this results in the problem of interoperability potentially dividing the Semantic Web into two separate islands. This study aimed at investigating the two technologies and to discover that how their interoperability problem can be solved by enabling them to work together. To achieve this objective, a comprehensive literature review of the two technologies was performed and is reported here to describe the architectures, serialization formats, tools & APIs, query languages, and real-world applications of both the technologies. For testing purposes, a Book Ontology was developed in both RDF and TMs standards by employing their respective ontology development tools and serialization formats. The ontology was imported in their respective applications and results were evaluated which justify that the interoperability between RDF and TMs is possible, enabling them to work in a complementary fashion.
Global Diffusion of Virtual Social Networks: A Pyramid Model

Virtual social network (VSN) has become an international phenomenon, but its diffusion is far from even across different countries. Such a digital divide prevents people in certain parts of the world from enjoying the benefits of VSN. The objective of this study is to find out what lead to the variation in the global diffusion of this new innovation. It identifies relevant cultural, developmental and regulatory factors and conceptualizes them as hierarchical foundations of VSN diffusion in a pyramid model. The model was empirically validated with secondary data. The results suggest that the regulatory foundation has relatively strong but volatile impact on the diffusion of virtual social networks, whereas the cultural foundation yields relatively weak yet stable influence, and somewhere in between is the developmental foundation. The findings have important practical implications, especially for policy makers, on how to facilitate the diffusion of virtual social networks in different countries.
Microneedle and drug delivery across the skin: An overview

The skin offers a route of administration with numerous advantages. However, one of the major limitations of this route is the limited number of drugs that possess the ideal physicochemical properties to passively diffuse through the skin barrier. Today, microneedle (MN) technology proved to be superior in the field of drug delivery. MN arrays are devices that consist of micron-sized projections which pierce the stratum corneum ( SC ), the main barrier for drug delivery across the skin. MN technology has the potential to provide a localised drug delivery with minimal toxicity and expand the range of drugs for transdermal and intradermal delivery. In this comprehensive review, MN technology was thoroughly discussed. Meeting regulatory standards and large-scale production is essential to advance MN technology into a cost-effectiveness commercial scale.
Characteristics of extracting geothermal heat for one-hole systems

In the paper the author present a computational model of a Geothermal Heat Exchanger (GHE) and the characteristics of a geothermal heat energy flux in a function of the depth of a GHE and in a function of temperature of water injected into the heat exchanger as well as in a function of a volume flow of the water and kinds of rock deposit. When taking into consideration appropriate characteristics of heat receivers, the characteristics for one-hole systems allow one to chose the most effective system of extracting the geothermal heat energy for the designed system of heat removal and extracting the geothermal energy.
The coSARA Design Methodology: Computer Support for Prototyping Collaborative Applicationsl

Building collaborati ve applications is a difficul t task. 'I'he caSARA Design Methodology is a collection of design methods, graphical modeling languages, analysis tools, and reusable models and software packages, which can be used to model and build executable prototypes of collaborative applications. It is based on an object-oriented model of collaborative applications and works in two major steps: ( 1) Constructing formal, graphical models of the different components of an application-the data, software structure, and software behavior of both the application's functionality and user interface-; and (2) Linking the models with reusable software packages and actual user interface objects (e.g., screen buttons, dialog boxes, and drawing windows) from the caSARA Library. The complete structure can then be executed interacti vely by an interpreter of the software behavior model.
Security analysis on an electronic voting scheme based on a quantum ring signature

Recently, Qiu et al. proposed a quantum voting scheme based on the ring signature (International Journal of Theoretical Physics, 60: 1550–1555(2021)), in which the signer and verifier only need measure the received particles with Z-basis and perform some classical simple encryption/decryption operations on the classical message. Although their scheme is very efficient, it cannot resist against the eavesdropping attacks and forgery attack. In this paper, first, the eavesdropping attacks on Qiu et al.’s scheme are proposed. Second, we show the forgery attack on their scheme. According to the security analysis, it follows that, when desiring the quantum ring signature scheme, we should carefully analysis its security against eavesdropping attacks and forgery under chosen message attack.
A Hybridized Multiobjective Evolutionary Approach for Microarray Biclustering

In this paper a new memetic algorithm that integrates a multiobjective evolutionary algorithm (the SPEA2) with a local search technique, for microarray data analysis, is presented. The algorithm explores the gene expression data matrix in order to find biclusters that fulfill several objectives. The performance of the new strategy was analyzed by means of a fair comparison with a well known method presented in the literature. The cases of study were two datasets corresponding to Saccharomyces cerevisiae and human B-cells Lymphoma . Our algorithm outper-formed the previous method in terms of Set Coverage and Spacing , yielding to un-deniably promising outcomes. Nonetheless, more experiments with data from other organisms are necessary, thus leading to more concluding results.
Blood Meal Acquisition Enhances Arbovirus Replication in Blood Meal Acquisition Enhances Arbovirus Replication in Mosquitoes Through Activation of the GABAergic System Mosquitoes Through Activation of the GABAergic System

Mosquitoes are hematophagous insects that carry-on and transmit many human viruses. However, little information is available regarding the common mechanisms underlying the infection of mosquitoes by these viruses. In this study, we reveal that the hematophagous nature of mosquitoes contributes to arboviral infection after a blood meal, which suppresses antiviral innate immunity by activating the GABAergic pathway. dsRNA-mediated interruption of the GABA signaling and blockage of the GABA A receptor by the speci ﬁ c inhibitors both signi ﬁ cantly impaired arbovirus replication. Consistently, inoculation of GABA enhanced arboviral infection, indicating that GABA signaling facilitates the arboviral infection of mosquitoes. The ingestion of blood by mosquitoes resulted in robust GABA production from glutamic acid derived from blood protein digestion. The oral introduction of glutamic acid increased virus acquisition by mosquitoes via activation of the GABAergic system. Our study reveals that blood meals enhance arbovirus replication in mosquitoes through activation of the GABAergic system.
The Role of Vegetation in Water Cycling and Energy Dissipation

This paper deals with the distribution of solar energy in the landscape. It focuses on the man’s role in steering the solar energy fluxes by managing water and influencing vegetation. The key role of landscape managers in mitigating the local climate extremes and influencing water regime is stressed. The role of water and vegetation in the greenhouse effect and global change is discussed. The omitting of water as a stable part in the global change theory is criticised. The complexity of dynamic processes of energy dissipation in water cycle does not allow us to forget the importance of water in preventing the climatic extremes and the aging of landscape. Methods of measurements and monitoring of energy and water fluxes are shown. The paper has been presented on Natural Sequence Farming (NSF) Conference in Bungendora New South Wales (October 2006) therefore data from the Czech Republic and Australia are presented and compared. Solar energy flux between Sun and Earth The Sun provides us with 180 000 TW, with ca. 1.4 kW of solar energy approaching every square meter of the insolated Earth’s atmosphere. The humankind uses at the beginning of the third millennium in its economy energy of ca. 14TW. The solar energy runs all the natural processes: warms the Earth of about 290 K to the convenient temperature for life, drives the water cycle, provides the processes of photosynthesis with energy, and enables the evolution of life on Earth. The Sun as a blackbody with the surface temperature of 5900 K emits maximum of the radiation in the visible range (400-700nm). The surface of the Earth with its temperature ca. 300K emits maximum radiation in the IR art of the spectrum at about 10μm. The wavelength at which the blackbody emits maximum radiation is given by
Long-term phosphorus fertilization reveals the phosphorus limitation shaping the soil micro-food web stability in the Loess Plateau

The intricate decomposition pathways within soil micro-food webs are vital for cycling soil organic carbon and nutrients, influencing the quality, productivity, and sustainability of soil systems. However, the impact of diverse phosphorus addition on these organic decomposition pathways still needs to be explored. In an 8-year experiment, phosphorus (P) fertilizer was added at varying levels (0 kg ha−1, CK; 60 kg ha−1, P60; 120 kg ha−1, P120; and 180 kg ha−1, P180), to investigate the response of the soil micro-food web. The results revealed a significant effect of phosphorus addition on soil microorganisms and nematodes, with P60 exerting a greater influence than other treatments. At P60, the Shannon index of nematodes and fungi surpassed other treatments, indicating higher diversity, while the Shannon index of bacteria was lower. The Chao1 index of bacteria and fungi at P60 was higher, contrasting with the lower index for nematodes. Metabolic footprints of bacterivores and omnivores–predators (BFMF and OPMF) were higher at P60, while metabolic footprints of fungivores and plant parasites (FFMF and PPMF) were lower, signifying altered energy flow. Functional metabolic footprints and energy flow analysis unveiled a stable soil micro-food web structure at P60, with enhanced energy conversion efficiency. Network analysis illustrated positive correlations between fungi, fungivorous nematodes (FF), and omnivorous-predatory nematodes (OP) at P60, while P120 and P180 showed positive correlations among bacteria, bacterivorous nematodes (BF), and OP. Path analysis underscored the higher contribution rate of BF-C, FF-C, and OP-C to soil organic carbon at P60 compared with P120 and P180. These findings suggest that nutrient interactions between fungi and nematodes regulate soil micro-food web decomposition under low phosphorus concentrations. In contrast, interactions between bacteria and nematodes dominate at high phosphorus concentrations. The study indicates that adding phosphorus has nuanced bottom-up effects, intricately shaping the structure and activity of the pathways and underscoring the need for a comprehensive understanding of nutrient dynamics in soil ecosystems.