Important Value Research Articles

Estimating relative importance of criteria by post-processing dominance-based rough set approach’s outputs

The dominance-based rough set approach (DRSA) is one of the rare multicriteria sorting methods that does not require a priori values for the relative importance of criteria. This method therefore is cognitively less demanding. However, the decision-maker may lack some valuable information that is needed to explain and justify final decisions to stakeholders. The relative importance of criteria can instead be estimated based on the characteristics of the outputs of the DRSA, which are mainly decision rules and attribute reducts. The estimated values can then be used to understand the role played by each criterion and justify the final decisions to stakeholders. This paper first reviews and improves the decision rule attractiveness measure and the relative importance measures that are based on decision rules and attribute reducts, which were all proposed in the authors’ previous work. It also introduces new measures that rely on the marginal contributions and entropy of the criteria. This paper also extends these measures to estimate the relative importance of criteria with respect to specific unions of classes. The proposed measures have been applied to Brexit referendum and bankruptcy risk assessment datasets. Both applications showed that the proposed measures generally lead to different results. This can be explained by the diversity of the knowledge on which these measures rely and also by the multiplicity of the analytical perspectives associated with them. The results also showed that the marginal contribution-based measure is a good estimator of both Shapley and Banzhaf values.

Preliminary exploration of herbal tea products based on traditional knowledge and hypotheses concerning herbal tea selection: a case study in Southwest Guizhou, China.

Herbal tea usually refers to "beverage plants that do not belong to the genus Camellia", and it holds a significant historical legacy as a traditional beverage among specific regions and ethnic groups. In light of this, our research aims to investigate and analyze the traditional knowledge pertaining to herbal tea plants used by local people in the QianxinanBuyi and Miao Autonomous Prefecture, Guizhou Province. We also initiated preliminary efforts to create tea products from herbal tea leaves using various processing techniques. Additionally, we attempted to test hypotheses to elucidate how local people select herbal tea plants. Data related to the use of herbal tea plants in this study were collected through semi-structured interviews and participatory observations in four villages in Qianxinan. Quantitative indicators, including the relative frequency of citation (RFC) and the relative importance (RI) value, were calculated, and the availability of plants was also evaluated. General linear model was performed to examine the relationship between the frequency of citation and resource availability, as well as the correlation between the relative frequency of citation and the relative importance, to test both the resource availability hypothesis and the versatility hypothesis. Centella asiatica tea was processed using techniques from green tea, black tea and white tea, with a preliminary sensory evaluation conducted. A total of 114 plant species were documented as being used for herbal teas by local residents, representing 60 families and 104 genera. Of these, 61% of herbal tea plants were found growing in the wild, and 11 species were exotic plants. The family with the highest number of species was Asteraceae (20 species). The study identified 33 major medicinal functions of herbal tea, with clearing heat-toxin and diuresis being the most common functions. General linear model revealed a strong correlation (correlation coefficient of 0.72, p < 0.001) between the frequency of citation and plant availability, as well as a significant correlation (correlation coefficient of 0.63, p < 0.001) between RFC and RI. Under different processing conditions, the characteristics of Centella asiatica tea exhibited variations and were found to be suitable for consumption. The consumption of herbal tea serves as a preventive measure against common ailments for local residents. The resource availability hypothesis, diversification hypothesis and the versatility hypothesis were shown to provide some insight into "how and why local communities select plants for use." Exotic herbal tea plants in the study area also possess valuable therapeutic properties. The processing and production of Centella asiatica herbal tea products hold promising prospects.

AutoBPS-Prototype: A web-based toolkit to automatically generate prototype building energy models with customizable efficiency values in China

Prototype building energy models are significant in building energy performance evaluation and energy efficiency potential analysis. However, their establishment process is time-consuming and error-prone. This study aims to develop a user-friendly toolkit, AutoBPS-Prototype, to automatically establish prototype building energy models in China. A web-based graphical user interface of AutoBPS-Prototype was designed and implemented. AutoBPS-Prototype only needs to define the climate zone, building type, and standard vintage to generate a default prototype building energy model based on a pre-built library. In addition, it can generate user-defined models through customized important efficiency values. The OpenStudio Standards used to create the U.S. Department of Energy prototype building models based on the ASHRAE 90.1 standards was extended to cover more prototype building energy models in China, including 20 sub-climate zones, 22 building types and four code and standard vintages. The Chinese building standards were used for the efficiency settings. Besides, case studies were conducted. Firstly, 20 prototype building models of four building types in five cities were generated. The credibility of the model results simulated by EnergyPlus was verified through comparison with measured data. Then, the impact of spatiotemporal differences on building energy consumption was analyzed through simulation of the models using different standard vintages in different climate zones. Finally, a baseline and four upgrade scenarios were designed to explore the impact of various upgrades on building energy consumption. This toolkit aims to assist users in conducting rapid research on building energy efficiency improvement. More toolkit features are under development for retrofit analysis, demand response analysis, and photovoltaics system generation estimation.

The complete chloroplast genome of Dendrocalamus liboensis Hsueh & D. Z. Li 1985 and its phylogenetic analysis

Dendrocalamus liboensis Hsueh & D. Z. Li 1985 is a unique member of the Bambusoideae subfamily found in Guizhou, China. The species has both economic importance and ornamental value. This study represents the first report of the sequencing and assembly of the complete chloroplast genome of D. liboensis. The total length of the genome was 139,483 bp, with a conventional quadripartite framework consisting of a large single-copy (LSC) region (83,001 bp in length), a small single-copy (SSC) region (12,896 bp in length), and two inverted repeats (IR) regions (both 21,793 bp in length). Overall, the D. liboensis chloroplast genome contained 128 functional genes, including 83 protein-coding genes, 37 tRNAs, and 8 rRNAs. Phylogenetic analysis showed that D. liboensis closely resembled D. sapidus, with both found on a strongly supported branch of the phylogenetic tree.

Machine learning analysis with population data for the associations of preterm birth with temporomandibular disorder and gastrointestinal diseases.

This study employs machine learning analysis with population data for the associations of preterm birth (PTB) with temporomandibular disorder (TMD) and gastrointestinal diseases. The source of the population-based retrospective cohort was Korea National Health Insurance claims for 489,893 primiparous women with delivery at the age of 25-40 in 2017. The dependent variable was PTB in 2017. Twenty-one predictors were included, i.e., demographic, socioeconomic, disease and medication information during 2002-2016. Random forest variable importance was derived for finding important predictors of PTB and evaluating its associations with the predictors including TMD and gastroesophageal reflux disease (GERD). Shapley Additive Explanation (SHAP) values were calculated to analyze the directions of these associations. The random forest with oversampling registered a much higher area under the receiver-operating-characteristic curve compared to logistic regression with oversampling, i.e., 79.3% vs. 53.1%. According to random forest variable importance values and rankings, PTB has strong associations with low socioeconomic status, GERD, age, infertility, irritable bowel syndrome, diabetes, TMD, salivary gland disease, hypertension, tricyclic antidepressant and benzodiazepine. In terms of max SHAP values, these associations were positive, e.g., low socioeconomic status (0.29), age (0.21), GERD (0.27) and TMD (0.23). The inclusion of low socioeconomic status, age, GERD or TMD into the random forest will increase the probability of PTB by 0.29, 0.21, 0.27 or 0.23. A cutting-edge approach of explainable artificial intelligence highlights the strong associations of preterm birth with temporomandibular disorder, gastrointestinal diseases and antidepressant medication. Close surveillance is needed for pregnant women regarding these multiple risks at the same time.

Ideology and its Influence on Suspense Psychology

From the philosophical point of view, all existing ideologies in the world deserve special attention, because they can be put into practice at any time, which means a total transformation of both individual and social existence. Therefore, the purpose of our article is to analyze the leading ideological trends in the modern world. The human mind is always focused on the search for meaningful ideas, values and guidelines. Society does not agree with primitive existence and continues to seek respectable higher significant foundations of human existence. That is, they create different ideologies. An ideology is a set of interconnected ideas, ideas and beliefs designed to unite people for the sake of living together and acting together. Today we can distinguish both humane and inhumane ideologies. Timely understanding and separation of humane from antihuman destructive social projects is important. After all, the public consciousness often has every chance to master various inhumane terrorist, extremist and marginal ideologies. Thus, every citizen should know that if the proposed ideology requires people to sacrifice their own lives, health, freedom, personal relationships, family or property, it means that from a legal and moral point of view, such an ideology, which would it did not set attractive goals for society, it is completely unacceptable, inhumane. At the same time, when confronted with humane ideologies, we will immediately be able to see that the proposed system of values and the associated changes will not pose any dangerous material or spiritual threat. In essence, the requirements of humane ideologies can only lead to a variety of ideological, intellectual, organizational and other positive changes. A striking example in this aspect is the ideology of the Enlightenment, which aimed to establish equal rights and freedoms of all people, their comprehensive intellectual and spiritual development through quality basic education and upbringing. One of the modern ideologies is the ideology of mass consumption society. It is this utilitarian system of views and values that has led to the premature depletion of resources and the general deterioration of the environment. The ideology of mass consumption society can negatively affect not only the biosphere but also the spiritual sphere of public life. Thus, such spiritual problems as the loss of meaning in life, the general deterioration of social mood, the widespread spread of pessimistic and depressed dark worldviews, social indifference, aggression, etc. have recently become noticeable. Therefore, in order to successfully solve the above complex problems, humanity must find spiritual strength, wisdom and consolidate. Now is the time to look for and find new positive worldview values. Another current ideological trend is the advancement of a new ideology of virtualization of human life, even after the pandemic is eventually successfully overcome and the objective need for restrictive quarantine measures simply disappears. There is ideological pluralism in modern democracies, but this cannot preclude the adoption of some of the most important values and norms without which no democratic society can exist. Such norms also include some axioms of ethics of communication, which provide the possibility of civilized ideological discourse.

Գրադարանային օրենսդրություն (միջազգային փորձ)

Public libraries play an important role in promoting education, research, personal development and other important values. A society cannot flourish without proper education and a developed edu-cational and library system. Library legislation is the basis for creating a network of public libraries organized in any coun-try. It ensures the management of the library and creates a stable financial basis for quality library ser-vices. The legislation also serves to protect the rights of library users. The study of the library legisla-tion of different countries is useful for making necessary changes and additions to the legislation regu-lating the RA library sector.

International Trade

Values of net oil imports(‐)/exports for Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, the United Kingdom, Japan, Canada, the United States and Australia. Updated on a monthly basis.Number of imports for Belgium, France, Germany, Greece, Republic of Ireland, Italy, Netherlands, Portugal, Spain, Sweden, the United Kingdom, and Other EU‐15 (EU‐15), Norway, Poland, Switzerland, Turkey, and Other Europe (OECD Europe), Canada, Chile, Mexico, and the United States (OECD Western Hemisphere), and Australia, Japan, Republic of Korea, New Zealand, (OECD Asia‐Pacific), and Total OECED.Current data for Austria, Belgium, Finland, France, Germany, Greece, Italy, Netherlands, Portugal, Spain, Sweden, the United Kingdom, Other EU‐15 (EU‐15), Czech Republic, Hungary, Poland, Slovakia, Turkey, and Other Europe (OECD Europe), Canada, Mexico, and the United States (OECD Western Hemisphere), Australia, Japan, Republic of Korea, and New Zealand (OECD Asia‐Pacific). Updated on a monthly basis.Current data for principal importers of natural gas and the amount in which they import from United States, Republic of Korea, United Kingdom, France, Japan, Italy, Germany and Spain (Table 19.1).Current data for principal exporters of natural gas and the amount they export to Canada, Trinidad and Tobago, the United States, Netherlands, Norway, Russia, Turkmenistan, Qatar, Algeria, Nigeria, Indonesia, Malaysia and Australia (Table 19.2). Updated on a monthly basis.

The role of non-conventional food plants (PANC) in gastronomic innovation

Unconventional food plants or commonly called PANC’s are plant species found and cultivated involuntarily in nature. Often classified as weeds or spontaneous herbs, they have several nutritional properties and are increasingly gaining ground in the areas of gastronomy, nutrition, food security and sustainability. We observed that there is a lack of use of these plants in our food due to the lack of information about the species that we have in our biodiversity. From this perspective, “spontaneous herbs” or “weeds” have a potential that many are unaware of. This article seeks to demonstrate that they are a considerable alternative for the gastronomic market, which is always in constant innovation, considering that at the same time that they provide low-cost food with important nutritional value, they offer a new experience to the consumer.

Plateletcrit is predictive of clinical outcome and prognosis for early-stage breast cancer: A retrospective cohort study based on propensity score matching.

Breast cancer (BC) is diagnosed as the most common cancer in women in 2022 according to the American Cancer Society. It is essential to detect early and treat early. Several studies have shown that some blood parameters have important predictive value for BC. In this study, we aim to explore whether some immune-associated blood parameters are relevant to disease-free survival (DFS) in early-stage BC. A single-center, regression cohort study of 1490 patients with early-stage BC in Shanghai Cancer Center was conducted from January 2008 to December 2016. The patients were matched according to the ratio of 1:1 based on Propensity Score Matching (PSM). All patients who experienced disease progression were matched successfully. Thus, 58 pairs of subjects were obtained. Matched blood parameters were evaluated by paired samples t-test or Wilcoxon signed-rank test. Factors with statistical difference were further evaluated by stratified COX regression model. Univariate analysis showed differences in platelet-related parameters (PLT, PCT, and PLR) and NLR between the two matched groups. However, stratified COX regression analysis, which ruled out the confounding effects of multiple factors, found that only PCT had prognostic value in early BC patients at baseline and study endpoint. Meanwhile, platelet-related parameters (PLT, MPV) and NLR were different in the progressive group by self before and after comparison. However, the multiple-factor analysis showed that only the NLR had prognostic value. ROC curve analysis indicated that the best sensitivity (65.45%) and specificity (78.18%) were obtained when the baseline PCT was 0.225. The optimal sensitivity (70.91%) and specificity (65.45%) were obtained when the PCT of disease progression was 0.215. The Kaplan-Meier curve was used to calculate the DFS rate based on the critical values of the two groups. Some blood parameters have value to predict DFS in early-stage BC patients, especially platelet-associated parameters.

Analysis of the significance and path of aesthetic education in primary and secondary school study tours in Guangdong Province

This article conducts an in-depth study on the implementation of study tours in primary and secondary schools in Guangdong Province, and explores the application of study tours in aesthetic education and its importance. The article first analyzes the theoretical basis of study tours, and then examines the practice situation of study tours in primary and secondary schools in Guangdong Province through specific cases, including successful experiences and existing problems. Based on these analyses, a series of improvement strategies and implementation suggestions are proposed with a view to enhancing the educational effects and quality of study tours. This study has important reference value for guiding the future practice of study tours for primary and secondary schools in Guangdong Province and even other regions in China.

Research on CNC programming and machining process based on CAD/CAM technology

Abstract Focusing on CNC process data, this paper provides an in-depth analysis, characterization and mining of macro machining processes by associating CAD and CAM models. The article introduces a Bayesian inference method to construct an association relationship between the manufacturing features of the query part and the macroscopic process of the manufactured part, which avoids the need for a direct similarity comparison between the geometry of the query part and the part to be manufactured. In addition, the study calculated the overall similarity between the query part and the CNC programming process data instances through the guidance of the process skeleton, thus realizing the precise evaluation from the CNC programming perspective. The algorithm for generating tool trajectories in multi-axis CNC programming is analyzed. By selecting representative surfaces and performing tool processing calculations, this study explores the process planning and tool parameter selection of usual parts of surfaces in multi-axis CNC programming machining. It optimizes the nonlinear error in tool trajectory processing by combining CAD/CAM technology. The results show that the optimized process proposed in this paper significantly improves the machining efficiency by 36.94%. In the cutting at tool corners, the maximum cutting force generated by the optimized machining process is only 190.3N, which is only 67.2% of the leading cutting force of the Cimatron process. In addition, when the engagement frequency is 780 Hz, the optimized process proposed in this paper has the smallest vibration amplitude, which is only 21.4% of the Cimatron strategy. Therefore, this study significantly improves the machining efficiency while ensuring the machining quality, which has important practical application value.

Stories and Data: Australian Musicians Navigating the Spotify for Artists Platform

ABSTRACT Spotify offers users powerful algorithmic recommendations and hybrid “algo-torial” curation at scale. In this paper we argue that juxtaposed within this data-driven platform, is the power of human stories and networking. We investigate the experiences of 10 Australian musicians through semi-structured interviews, asking how they navigate the Spotify for Artists interface. By attending to the experiences of the artists themselves, and their use of the Spotify for Artists platform, we explore the human stories that flow within this socio-technical music streaming network, arguing that stories, like data, have an important role and value in this context.

Fluorinated polyether-coated Fe3O4-functionalized oxidized carbon nanotubes as a recyclable demulsifier for crude oil emulsion treatment.

Based on the excellent adsorption properties of carbon materials, a new magnetic nanodemulsifier was prepared in this study. First, carbon nanotubes were oxidized using a solvothermal method. Then, Fe3O4 was combined with oxidized carbon nanotubes using a one-pot method, and then grafted onto fluorine-containing polyether to prepare a magnetic composite demulsifier (Fe3O4@C-F) with good demulsification properties. The surface morphology of the composite demulsifier was analyzed using scanning electron microscopy (SEM). The structure of the composite demulsifier was characterized using Fourier transform infrared (FTIR) spectroscopy and X-ray photoelectron spectrometry (XPS). The stability of the composite demulsifier was characterized using thermogravimetric analysis (TGA). Results showed that the oxidized carbon nanotubes and fluorinated polyether were successfully attached to Fe3O4. The experimental objective was to obtain a self-made crude oil emulsion. The demulsification test and recovery performance test were then performed, and the main factors affecting the demulsification performance of the demulsifier were investigated. Results showed that when the dosage was 800 mg L-1, the temperature was 65 °C, the demulsification time was 90 min, and the pH value was 6. The demulsification effect of the Fe3O4@C-F magnetic composite demulsifier was the best, whereby the demulsification rate could reach 91.68%, and the oil-water interface was clear. Fe3O4@C-F had a magnetic response and could be recycled from the two-phase system six times under the action of an external magnetic field. Fe3O4@C-F is an efficient and environmentally friendly demulsifier that has important application value for enriching demulsification technology systems.

Job satisfaction of healthcare professionals in palliative care departments and factors affecting job satisfaction during COVID-19 pandemic

Background/Aim. The COVID-19 pandemic had a significant impact on the healthcare system, particularly healthcare providers such as nurses/medical technicians, who were obliged to adhere to strict procedures and manage their time effectively during shifts. The aim of this study was to identify internal strengths, weaknesses, threats, and challenges in palliative care management during the C OVID-19 pandemic from the perspective of nurses/medical technicians. Methods. A cross-sectional study was conducted on a 100% sample of nurses/medical technicians working in hospital-based palliative care in two clinics in Belgrade (47 respondents in total). The research instrument was a Questionnaire on Employee Satisfaction. The survey was conducted during September and October 2022. Results. Assessing the job satisfaction of nurses/ medical technicians revealed moderate job satisfaction (3.43), which was mostly influenced by appropriate financial compensation and the implementation of measures to prevent and control the spread of the COVID-19 infection. The dimensions of management that were significantly related to respondents? satisfaction were motivation and adequacy of hygienic conditions and measures to control COVID-19 (?2 = 62.83, p = 0.004 and ?2 = 36.42, p = 0.006, respectively). Conclusion. Nurses/medical technicians who experience stress at work in regular conditions tend to react the same way in different conditions, such as those related to COVID-19 infection. The most difficult challenge that the management faces is the recognition of the importance of the work of nurses/medical technicians by the community. Therefore, it is vital to respect and support the most important professional values of nurses/medical technicians, such as valuable achievements, the importance of professional challenges, personal growth and development, and independence in practice.

Plasmon-enhanced second harmonic generation of metal nanostructures.

As the most common nonlinear optical process, second harmonic generation (SHG) has important application value in the field of nanophotonics. With the rapid development of metal nanomaterial processing and chemical preparation technology, various structures based on metal nanoparticles have been used to achieve the enhancement and modulation of SHG. In the field of nonlinear optics, plasmonic metal nanostructures have become potential candidates for nonlinear optoelectronic devices because of their highly adjustable physical characteristics. In this article, first, the basic optical principles of SHG and the source of surface symmetry breaking in metal nanoparticles are briefly introduced. Next, the related reports on SHG in metal nanostructures are reviewed from three aspects: the enhancement of SHG efficiency by double resonance structures, the SHG effect based on magnetic resonance and the harmonic energy transfer. Then, the applications of SHG in the sensing, imaging and in situ monitoring of metal nanostructures are summarized. Future opportunities for SHG in composite systems composed of metal nanostructures and two-dimensional materials are also proposed.

Hydrogeological characterization of Settat Ben Ahmed plateau aquifer (Central Morocco)

This study aims to determine groundwater dynamic and hydrochemistry for a better understanding of a hydrogeological unity of sedimentary rock to learn about chemical processes and water quality of Settat Ben Ahmed plateau aquifer. The findings reveal the chemical facies change according to the depth and geological nature of the aquifer captured. Samples of deeper point captured upstream and from Cenomano-Turonien limestones are HCO3-Ca-Mg type and account for lowest electric conductivity (EC) values. However, samples of shallow points and downstream are Cl-SO4-Ca with important EC values.

A flexible multimodal pulse sensor for wearable continuous blood pressure monitoring.

Monitoring of arterial blood pressure via cuffless pulse waveform measurement at the wrist has an important clinical value for the early diagnosis and prevention of cardiovascular disease. However, accurate measurement of the radial pulse waveform is challenging owing to its subtle, wideband, and preload-dependent variation characteristics. Evidence shows that uncertainties or variations of wearing pressure and skin temperature can cause artifact signals in wrist pulse measurements, thus degrading blood pressure estimate accuracy and hindering precise clinical diagnosis. Herein, we report a flexible multisensory pulse sensor utilizing natural piezo-thermic transduction of human skin in conjunction with thin-film thermistors for the accurately measuring radial artery pulse waves with high fidelity and good anti-artifact performance. The flexible pulse sensor achieved a wide pressure measuring range (228.2 kPa), low detection limit (4 Pa), good linearity (R2 = 0.999), low hysteresis (2.45%), fast response (88 ms), and good durability and stability, thereby enabling accurate pulse measurement with high fidelity. The pulse sensor also monolithically integrated the simultaneous detections of skin temperature and wearing pressure for resisting artifact effects in pulse measurements. Through the fusion of multiple features extracted from the pulse waveform, wearing pressure, skin temperature and user's personal physical characteristics using an efficient multilayer perceptron, blood pressure is accurately estimated and good generalizability is achieved.

Ultrasonic scattering model and identification experiment of polycrystalline materials

Ultrasonic identification has an important application value for national defense, military affairs, aerospace, nuclear facilities and other high-tech fields. Ultrasonic waves can be used to identify any metal material. At present, the researches focus on algorithms for identifying the difference in ultrasonic signal among materials, but the study on the corresponding identification theory is lacking. In this work, 10 primary models of the microstructure of 2A12 aluminum alloy are established as analogies to the complex microstructures of polycrystalline metallic materials. The grains of these models are different from each other in size, separation distance, shape, arrangement directions and orders. The time-domain ultrasonic echo signals of different microstructures are calculated by making use of the finite element method. The grass-like signals between two echoes are ultrasonic backscattering signals, which are sensitive to any change of microstructure. The backscattering signals between the primary echo and the secondary echo in the ultrasonic echo time domain signals are extracted as ultrasonic fingerprints. The feature difference &lt;i&gt;Q&lt;/i&gt; is defined to quantify the difference in ultrasonic fingerprint of each sample. The results show that the slight variation in microstructure will lead to difference in ultrasonic signal, and the difference caused by the variation in grain size is more distinct. And then, an ultrasonic identification algorithm is proposed, and the identification experiments are conducted on four 2A12 aluminum alloy samples with the same shape. The identification results show that the target sample can be accurately identified by using ultrasonic fingerprints and the ultrasonic fingerprints of the target sample are distinctly different from those of the other samples. The microstructure morphologies of the samples are examined by using scanning electron microscopy (SEM). The SEM results show that there are significant differences in grain size, separation distance and densification between samples although they are the same material. The features of the microstructure in the proposed ultrasonic scattering model in this work are confirmed by the actual y micromorphologies observed in the SEM images. The identification experiments and SEM results demonstrate that the established ultrasonic scattering model is effective. This work can provide a reference for theoretically studying ultrasonic identification and present an idea for developing some new identification algorithms in future.

First report of 'Candidatus Phytoplasma pruni' associated with X-disease on sweet cherry (Prunus avium L.) in Canada.

British Columbia (BC) is the lead producer of sweet cherries in Canada with more than 2,000 ha in production and a farm gate value of over CAD$100 million annually. Since 2010, an outbreak of little cherry disease caused by Little cherry virus 1 (LChV1) and Little cherry virus 2 (LChV2), as well as X-disease (XD) caused by 'Candidatus Phytoplasma pruni' has caused significant economic losses in neighboring Washington State (WA), USA. LChV1 and LChV2 have long been known to occur in BC (Theilmann et al. 2002); however, 'Ca. P. pruni' has not yet been reported in BC. Due to its geographical proximity to WA State, the BC cherry industry expressed significant concerns about the possible presence of the phytoplasma in cherry orchards. Accordingly, the main objective of this study was to survey cherry orchards to determine whether 'Ca. P. pruni' was present in symptomatic trees in BC. A total of 118 samples of leaves and fruit stems from individual symptomatic trees were collected prior to harvest from nine cherry orchards and one nectarine orchard in the Okanagan and Similkameen Valleys in BC. Characteristic symptoms included small and misshapen fruit with poor color development. Samples were submitted to AGNEMA, LLC (Pasco, WA) for testing using qPCR TaqMan assays for LChV1 (Katsiani et al. 2018), LChV2 (Shires et al. 2022) and 'Ca. P. pruni' (Kogej et al. 2020). Test results showed 21 samples (17.8%) from three cherry orchards positive for LChV2 and 2 samples (1.7%) from one cherry orchard positive for 'Ca. P. pruni'. In order to confirm the identification of 'Ca. P. pruni', part of the 16S ribosomal RNA gene was amplified by nested PCR using the P1/P7 followed by R16F2n/R2 primer sets (Gundersen and Lee 1996) and Sanger sequenced. BC-XD-Pa-1 (GenBank Acc. No. OR539920) and BC-XD-Pa-2 (OR537699) were identical to one another and showed 99.92% identity to the 'Ca. P. pruni' reference strain CX-95 (JQ044397). Analysis using iPhyClassifier (Zhou et al. 2009) indicated that they were 16SrIII-A strains. Interestingly, the two partial 16S sequences showed 100% nucleotide identity to strain 10324 (MH810016) and others from WA. For additional confirmation, partial secA (Hodgetts et al. 2008) and secY (Lee et al. 2010) translocases were amplified and sequenced. As with the 16S sequences, secY sequences (OR542980, OR542981) showed 99.92% nucleotide identity to strain CX-95 (JQ268249), and 100% to strain 10324 (MH810035). The secA sequences (OR542978, OR542979) had nucleotide identities of 99.77% to strain CX (MW547067), and 100% to the Green Valley strain from California (EU168733). Accordingly, 'Ca. P. Pruni' was confirmed to be present in sweet cherry samples from BC. 'Ca. P. Pruni'-related strains have been previously reported to occur in Canada in commercial poinsettias (Euphorbia pulcherrima) (Arocha-Rosete et al. 2021). To our knowledge, this is the first report of 'Ca. P. Pruni' in sweet cherry in Canada. Due to the important economic value of sweet cherries in BC, these findings are highly significant and represent the first steps towards the development of a surveillance system for early detection of XD, and consequent implementation of management strategies, including vector control. As required by federal and provincial regulations, cherry trees infected with LChV2 and 'Ca. P. Pruni' found in the survey were removed by the growers.