Opening Events Research Articles

A statistical model to predict the results of Novak Djokovic's matches in the Australian open tennis event using the binary logistic regression

The purpose of the research was to construct a model that could forecast the probability of winning in the case of Novak Djokovic in the men’s singles grand slam event of the Australian Open and to determine the relative relevance of the match data that contribute to victory. A total number of 147 matches were recorded for all nine years i.e., from 2013 to 2021, from the first round to the exit round over the years. One of the few assumptions in logistic regression is that the dependent variable must be binary in nature. Therefore, the dependent variable selected for this study was Match Outcome (Win/Loss). Ace, (DF) Double Fault, (FS) First Serve, (FSPW) first serve point win, (SSPW) second serve point win, (BPC) Breakpoint converted, and (TPW) Total point win were selected as the predictor variables. All the data were collected from ATP world tour.com. In order to accomplish the goals of the research, the only matches that Novak Djokovic competed in during the Grand Slam AO (Australian Open), were analyzed. The prediction of the likelihood of Mr. Novak Djokovic winning or losing in the men’s singles Australian open grand slam by fitting the logistic regression model. According to the statistical significance of the predictor variables, they were numerically weighted and can be used to predict the match outcome. Out of seven predictor variables, only the variable Breakpoint Converted was included in the prediction model with a coefficient of determination (R2) of.424 (Cox & Snell) and .588 (Nagelkerke). The case adds seven independent variables and one dependent binary logistic variable for all the Australian Open Grand slam matches played from 2013 to 2021. The given result of it verifies conclusive evidence that the prediction fits quite well as it classifies an 88.9% winning probability.

“Event approach” and “educational and leisure event” in the rationale of open event space

“Event approach” and “educational and leisure event” in the rationale of open event space

엑스포 2030을 위한 지속가능한 관광개발 전략 - 월드 엑스포 2020 두바이 사례연구

Hosting mega-events such as Expos, the Olympics, and the World Cup has become a means to achieve destination development and attract tourists to a host city. However, in a global event like the World Expo 2020 Dubai, where the opening event was postponed once due to an unprecedented epidemic worldwide, the brand image of the host city and risk perception of infectious diseases may affect visitors’ travel intentions to a host city and its neighboring cities. This study aims to investigate the impact of COVID-19 risk perception and protection motivation among the participants of the World Expo 2020 Dubai on travel intentions to city attractions and other cities in the U.A.E. The online and on-site survey was conducted from 1 to 31 Mar 2022. As a result of Jamovi and Smart PLS analyses, the protection motivation of visitors to the Expo 2020 mediated the relationship between COVID-19 risk perception and travel intention, indicating that, despite the high COVID-19 risk perception of visitors, travel intentions to Dubai attractions as well as neighboring cities was positively significant. The results also suggest the Expo organizers promote host city awareness and a favorable tourist destination brand image. This research study will provide insights for Busan tourism stakeholders regarding sustainable development plans and destination brand image reflecting the case study of the World Expo 2020 Dubai. In parallel, this research will highlight the catalytic effects of Expo 2020 on the brand positioning and future of the U.A.E as a sustainable tourism destination. This study suggests future directions and implications of sustainable development strategies for Busan as a candidature to organize the World Expo 2030 based on the World Expo 2020 Dubai.

Water quality fluctuations in small intermittently closed and open lakes and lagoons (ICOLLs) after natural and artificial openings

Water quality fluctuations are influenced by natural and artificial openings of ICOLLs. In this study artificial opening resulted in a greater degradation of water quality than natural openings. Artificial openings are commonly undertaken in response to flood risk to human assets but often cause fish kills. We assessed water quality (parameters: temperature, dissolved oxygen, pH, salinity) within two ICOLLs before and after natural openings and two ICOLLS before and after artificial openings. Natural openings caused only a slight decline in water quality and no fish kills, whereas the artificial openings triggered poor water quality and fish kills. Decline of dissolved oxygen concentrations were observed following two artificial opening events associated with fish kills. We conclude that there are multiple drivers and sources contributing to low dissolved oxygen concentrations that are unique to individual ICOLLs and the type of opening.

11th Ada Developer Room at FOSDEM 2022

FOSDEM is a huge open source event organized each year in Brussels, Belgium. Among others, it features dozens of tracks on specific topics: the Developer Rooms. This year, for the 11th time, there was a track about the Ada programming language and related technologies. A brief overview of the full-day "Ada DevRoom" program is given, followed by reports of most presentations by their respective authors.

The Impact of Wetsuit Use on Swimming Performance, Physiology and Biomechanics: A Systematic Review

This systematic review aims to summarize the effects of wearing different types of wetsuits and swimsuits in front crawl swimming performance and physiological- and biomechanical-related variables. The Web of Science, PubMed, Scopus and the Proceedings of the International Symposium on Biomechanics and Medicine in Swimming databases were searched from inception to 25th March 2022. From the 1398 studies initially found, 26 studies were included in the review. The quality assessment and inter-rater reliability between researchers were conducted. The full body was the most studied wetsuit, with its use allowing 3.2–12.9% velocity increments in distances ranging from 25 to 1500 m, in incremental tests, in 5 and 30 min continuous swimming and in open water events. The sleeveless long vs. the full-body wetsuit led to a 400–800 m performance enhancement. Higher stroke rate, stroke length and stroke index were observed while using three different covered body part wetsuits vs. a regular swimsuit, with a lower energy cost being observed when swimming with the full-body wetsuit compared to a swimsuit. These findings provide useful information for coaches, swimmers and triathletes about the full-body and sleeveless long/short wetsuit use, since these three wetsuits allow improving swimming performance in different distances in diverse aquatic environments.

Mechanical stress driven by rigidity sensing governs epithelial stability.

Epithelia act as a barrier against environmental stress and abrasion and in vivo they are continuously exposed to environments of various mechanical properties. The impact of this environment on epithelial integrity remains elusive. By culturing epithelial cells on 2D hydrogels, we observe a loss of epithelial monolayer integrity through spontaneous hole formation when grown on soft substrates. Substrate stiffness triggers an unanticipated mechanical switch of epithelial monolayers from tensile on soft to compressive on stiff substrates. Through active nematic modelling, we find that spontaneous half-integer defect formation underpinning large isotropic stress fluctuations initiate hole opening events. Our data show that monolayer rupture due to high tensile stress is promoted by the weakening of cell-cell junctions that could be induced by cell division events or local cellular stretching. Our results show that substrate stiffness provides feedback on monolayer mechanical state and that topological defects can trigger stochastic mechanical failure, with potential application towards a mechanistic understanding of compromised epithelial integrity during immune response and morphogenesis.

Nutritional support for a person with type 1 diabetes undertaking endurance swimming.

Long distance and open water swimming have increased in popularity over recent years. Swimming a long distance in lakes, rivers and the sea present numerous challenges, including cold water exposure and maintaining adequate nutritional intake to fuel exercising muscles. Guidelines exist outlining issues to consider and potential solutions to overcome the difficulties in feeding athletes. Exercising with type 1 diabetes adds further complexity, mostly around matching insulin to the recommended high carbohydrate intake, but also because of the way in which higher circulating insulin levels affect glucose utilisation and fat oxidation. This paper describes the nutritional considerations for people with type 1 diabetes intending to undertake long distance open water events, and insulin management suggestions to trial alongside. In addition, we include personal testimony from a swimmer with type 1 diabetes describing the challenges and considerations he faced when undertaking marathon swimming.

Weakly Supervised Anomaly Detection in Videos Considering the Openness of Events

Although various weakly supervised anomaly detection methods have been proposed in recent years, generalization of anomaly detection is still not well-explored. Existing weakly supervised methods usually use normal and abnormal events to pose anomaly detection as a regression problem. However, defining concepts that encompass all possible normal and abnormal event patterns is nearly unrealistic, so the anomaly detection model is likely to face both open normal and abnormal events in practical applications. We find some weakly supervised anomaly detection methods suffer from performance degradation when faced with open events due to their poor generalization. To tackle this issue, we propose a two-branch weakly supervised approach, which can improve the anomaly detection performance of open events without affecting the performance of the seen events. Specifically, considering that the pattern of open events is different from that of seen events, we design a Test Data Analyzer (TDA) that determines whether the test video features belong to seen or open data and argue for separate treatment for them. For the seen data, a classifier trained by multiple instance learning is used to predict anomaly scores. For the open data, we design an anomaly detection model via meta-learning named Meta-Learning Anomaly Detection (MLAD), which can directly determine whether open data is abnormal without updating model parameters. In detail, MLAD synthesizes pseudo-seen data and pseudo-open data so that the model can learn to detect anomalies in open data by transferring the knowledge of seen data. Experimental results validate the effectiveness of our proposed method.

Umbrella Sampling Simulations Measure Switch Peptide Binding and Hydrophobic Patch Opening Free Energies in Cardiac Troponin.

The cardiac troponin (cTn) complex is an important regulatory protein in heart contraction. Upon binding of Ca2+, cTn undergoes a conformational shift that allows the troponin I switch peptide (cTnISP) to be released from the actin filament and bind to the troponin C hydrophobic patch (cTnCHP). Mutations and modifications to this complex can change its sensitivity to Ca2+ and alter the energetics of the transition from the Ca2+-unbound, cTnISP-unbound form to the Ca2+-bound, cTnISP-bound form. We utilized targeted molecular dynamics (TMD) to obtain a trajectory of this transition pathway, followed by umbrella sampling to estimate the free energy associated with the cTnISP-cTnCHP binding and the cTnCHP opening events for wild-type (WT) cTn. We were able to reproduce experimental values for the cTnISP-cTnCHP binding event and obtain cTnCHP opening free energies in agreement with previous computational measurements of smaller cTnC systems. This excellent agreement for WT cTn demonstrated the strength of computational methods in studying the dynamics and energetics of the cTn complex. We then introduced mutations to the cTn complex that cause cardiomyopathy or alter its Ca2+ sensitivity and observed a general decrease in the free energy of opening the cTnCHP. For these same mutations, we observed no general trend in the effect on the cTnISP-cTnCHP binding event. Our method sets the stage for future computational studies on this system that predict the consequences of yet uncharacterized mutations on cTn dynamics and energetics.

Cultural regeneration and neighborhood image from the aesthetic perspective: Case of heritage conservation areas in Shanghai

A systematic approach for understanding how the urban environment and regeneration influence neighborhood image is lacking, particularly involving aesthetic perspective. This study considers image reform under cultural regeneration and quantifies neighborhood image based on its aesthetic characteristics. Two Shanghai conservation areas (SCAs), also known as hip neighborhoods, were selected as study sites. Mixed methods, including a questionnaire survey of 242 users, semi-structured interviews with 36 participants, and on-site survey, were used to capture the neighborhood image and explore the observational factors influencing image perception. An SCA scene is identified in this study, with a neighborhood image shaped by the aesthetic characteristics namely glamour, self-expression, heterogeneity, and neighborliness. Vital factors that affect image perception include amenities and shops, daily activities, street and open spaces, flagship projects, and cultural events. The findings provide cross-cultural insights into the interrelationships among observational factors, cultural regeneration, and neighborhood image, with a particular focus on the aesthetic perspective. This study provides useful reference for city planning and management for image reconfiguration in urban redevelopment to benefit neighborhoods.

The cracking of Scots pine (Pinus sylvestris) cones.

Pine cones show functionally highly resilient, hygroscopically actuated opening and closing movements, which are repeatable and function even in millions of years old, coalified cones. Although the functional morphology and biomechanics behind the individual seed scale motions are well understood, the initial opening of the cone, which is often accompanied by an audible cracking noise, is not. We therefore investigated the initial opening events of mature fresh cones of Scots pine (Pinus sylvestris) and their subsequent motion patterns. Using high-speed and time lapse videography, 3D digital image correlation techniques, force measurements, thermographic and chemical-rheological resin analyses, we are able to draw a holistic picture of the initial opening process involving the rupture of resin seals and very fast seed scale motion in the millisecond regime. The rapid cone opening was not accompanied by immediate seed release in our experiments and, therefore, cannot be assigned to ballistochory. As the involved passive hydraulic-elastic processes in cracking are very fine-tuned, we hypothesize that they are under tight mechanical-structural control to ensure an ecologically optimized seed release upon environmental conditions suitable for wind dispersal. In this context, we propose an interplay of humidity and temperature to be the external "drivers" for the initial cone opening, in which resin works as a crucial chemical-mechanical latch system.

SUCCESS OF OPEN INNOVATION EVENTS FOR SOLVERS

This quantitative study explores the outcomes of open innovation events for solvers and how such events can be successful for such participants. Specifically, the relationships among event design, solver motivation and outcomes are studied. How such an event impacts the capability of the solver to interact with the innovation ecosystem is also presented. We discovered that design elements impact the OI event outcomes, intrinsic motivation of solvers has a moderating effect on the relationship between OI design and outcomes, and open innovation events positively affect the solvers’ capacity to interact with the innovation ecosystem. Our results have implications for promoters to better design open innovation events and for solvers to ensure that they benefit from their participation.

Mapping separase-mediated cleavage in situ.

Separase is a protease that performs critical functions in the maintenance of genetic homeostasis. Among them, the cleavage of the meiotic cohesin during meiosis is a key step in producing gametes in eukaryotes. However, the exact chromosomal localization of this proteolytic cleavage was not addressed due to the lack of experimental tools. To this end, we developed a method based on monoclonal antibodies capable of recognizing the predicted neo-epitopes produced by separase-mediated proteolysis in the RAD21 and REC8 cohesin subunits. To validate the epigenomic strategy of mapping cohesin proteolysis, anti-RAD21 neo-epitopes antibodies were used in ChIP-On-ChEPseq analysis of human cells undergoing mitotic anaphase. Second, a similar analysis applied for mapping of REC8 cleavage in germline cells in Macaque showed a correlation with a subset of alpha-satellites and other repeats, directly demonstrating that the site-specific mei-cohesin proteolysis hotspots are coincident but not identical with centromeres. The sequences for the corresponding immunoglobulin genes show a convergence of antibodies with close specificity. This approach could be potentially used to investigate cohesin ring opening events in other chromosomal locations, if applied to single cells.

Iconic 21st Century Activist "T-Shirt and Tote-Bag" Combination Is Hard to Miss These Days!

Iconic 21st Century Activist "T-Shirt and Tote-Bag" Combination Is Hard to Miss These Days!

Forecasting Crop Residue Fires in Northeastern China Using Machine Learning

With repeated changes to local crop residue disposal policies in recent years, the distribution and density of crop residue fire events have been irregular in both space and time. A nonlinear and complex relationship between natural and anthropogenic factors often affects the occurrence of crop residue field fires. To overcome this difficulty, we used the Himawari-8 wildfire data for 2018–2021 to verify the likelihood of crop residue fires against the results of three machine learning methods: logistic regression, backpropagation neural network (BPNN), and decision tree (DT). The results showed the verified accuracies of BPNN and DT methods were 68.59 and 79.59%. Meantime, the sensitivity and specificity of DT performed the best, with the value of area under the curve (AUC) 0.82. Furthermore, among all the influencing factors, open burning prohibition constraints, relative humidity and air pressure showed significant correlations with open burning events. As such, BPNN and DT could accurately forecast the occurrence of agricultural fires. The results presented here may improve the ability to forecast agricultural field fires and provide important advances in understanding fire formation in Northeastern China. They would also provide scientific and technical support for crop fire control and air quality forecasting.

Time for different stories: Reflections on IPONS panel addressing current debates in nursing theory, educationand practice.

On 4 February 2021 a group of nurse scholar-educators, nurses and other interested folks came together for the second of two virtual events to think together about the role of philosophy in the nursing world. The live streamed open access event provided an opportunity in the COVID-19 pandemic for over 400 people to listen to five nursing scholars' presentations and to interact virtually through comments in chat and on the @IPONSociety Twitter social media platform. By reading the comments and questions that were generated, and by looking at the social media comments related to the event, it is apparent that philosophy is an important thinking practice for nurses but many audience members critically expressed they felt excluded. Critical issues were raised by participants in chat and on Twitter-pointedly around the need for more representative voices-including the imperative to open nursing philosophy to diverse and disparate worldviews. This dialogue provides a summary of critical points raised during the live question and answer session for the panel entitled Addressing Current Debates in Nursing Theory, Education, Practice as well as examing comments selected from the @IPONSociety Twitter space in response to the panel. One commenter said it was great to see the discussion being lifted up from the influential roots of white supremacy, while other nurses expressed that they wished the panellists themselves were more diverse. In discussion of key takeaway, links are made to historical and ongoing structural oppressions in nursing where thinking practices like nursing philosophy and theory are still dominated by world views emanating from positionalities of able-bodied cis-gendered heterosexual western eurocentric whiteness.

Discrete room pressure drops predict door openings and contamination levels in the operating room setting

BackgroundContamination of operating room air is associated with increased risk of surgical site infection. Door opening events occur often during surgery. The effect of door opening on room pressure and contamination is investigated, and detection of door opening events via a single internal barometric pressure sensor is demonstrated. MethodsA single barometric pressure sensor stationed in a corner away from the door was used to measure room pressure in a simulated OR with air flow conditions of 20 ACH and a positive pressure of approximately 7.5 Pa. A laser-based particle counter was used to measure particle levels during a series of 20 periodic door opening events. ResultsThe average (standard deviation) detected room pressure in the OR under positive pressure decreased by approximately 6.5 (1.2) Pa (p>3 × 10−17). When the door is closed the pressure returns. Initial airborne particle levels in the room were 36 (6) /ft3. 20 periodic door openings performed over 40 min. resulted in particle levels exceeding 200/ft3. ConclusionsOR barometric pressure decreases and recovers when the door to an OR under positive pressure is opened and closed and provides a detectable signal for passively monitoring and tracking door openings. The number of particles in the unoccupied OR increases as increasing numbers of door opening events occur.

Translating scientific evidence into policy and practice: the European Urban Health Cluster

BACKGROUND AND AIM: Over the past decades the impacts of urbanization on public health have been investigated and analyzed extensively. It is now the time to increase visibility for urban health research and bring stronger contribution to policies such as the EU Urban Agenda, translate scientific evidence into policy and practice, while identifying mechanisms for action locally and careful attention to closing the gaps in the societal distribution of health and wellbeing gains. METHODS: In this direction, six European projects (eMOTIONAL Cities, ENLIGHTENme, HEART, RECETAS, URBANOME and WELLBASED), resulting from the Horizon 2020 call "Innovative actions for improving urban health and wellbeing -addressing environment, climate and socioeconomic factors”, have established the European "Urban Health Cluster’’ (UHC). The cluster will facilitate international cooperation with other relevant ongoing and potential future initiatives on urban issues and health. It will deliver more robust evidence for policy making on improved urban health in the EU, will enhance population health, physical and mental, while reducing health inequalities. RESULTS: The UHC comprises six working groups with clear targets and objectives, where more than one hundreds research institutions are represented, to draw and build upon individual project results and working closely with an International Advisory Board to connect the UHC to significant urban initiatives, including the European Urban Agenda. The Cluster launch event has been organized on May 20th 2021 and brought together in an open event representatives from the European Commission, the six projects and representatives of European initiatives and Networks, international pioneers in the field of urban health and political decision makers. CONCLUSIONS: The Urban Health Cluster will operate for four years to improve and safeguard health and wellbeing of citizens, leaving none behind and to promote an alliance between cities and different actors where citizens will be an important part to support decision making.

Assessment of MRI to estimate metastatic dissemination risk and prometastatic effects of chemotherapy

Metastatic dissemination in breast cancer is regulated by specialized intravasation sites called “tumor microenvironment of metastasis” (TMEM) doorways, composed of a tumor cell expressing the actin-regulatory protein Mena, a perivascular macrophage, and an endothelial cell, all in stable physical contact. High TMEM doorway number is associated with an increased risk of distant metastasis in human breast cancer and mouse models of breast carcinoma. Here, we developed a novel magnetic resonance imaging (MRI) methodology, called TMEM Activity-MRI, to detect TMEM-associated vascular openings that serve as the portal of entry for cancer cell intravasation and metastatic dissemination. We demonstrate that TMEM Activity-MRI correlates with primary tumor TMEM doorway counts in both breast cancer patients and mouse models, including MMTV-PyMT and patient-derived xenograft models. In addition, TMEM Activity-MRI is reduced in mouse models upon treatment with rebastinib, a specific and potent TMEM doorway inhibitor. TMEM Activity-MRI is an assay that specifically measures TMEM-associated vascular opening (TAVO) events in the tumor microenvironment, and as such, can be utilized in mechanistic studies investigating molecular pathways of cancer cell dissemination and metastasis. Finally, we demonstrate that TMEM Activity-MRI increases upon treatment with paclitaxel in mouse models, consistent with prior observations that chemotherapy enhances TMEM doorway assembly and activity in human breast cancer. Our findings suggest that TMEM Activity-MRI is a promising precision medicine tool for localized breast cancer that could be used as a non-invasive test to determine metastatic risk and serve as an intermediate pharmacodynamic biomarker to monitor therapeutic response to agents that block TMEM doorway-mediated dissemination.