Today there is a rising trend in the use of 3D models and different digital technologies in veterinary medicine education and research. In the last couple of years, our department created 3D neuroanatomical models by using the XYZ-3D scanner. These models are now available to our students and the public through the open-source Sketchfab platform. We use these models in practical anatomy classes and for the online self-learning process. The main aim of this study was to evaluate how students accept, and how are they satisfied with the use of these models and the Sketchfab platform in veterinary anatomy education. For this study purpose, at the end of the academic 2023/24, we created an anonymous questionnaire for students in Likert style, and the survey was performed through the Google Forms platform. The results of the survey show that 3D digital models are very acceptable to students and they can be used as additional, supportive tools in veterinary anatomy education and for the self-learning process. Also, in the present research, we discuss the advantages, disadvantages, and future potential and benefits that 3D technologies and this platform can provide. By sharing this information with the academic community, we believe that this study will certainly contribute to the improvement and expansion of the use of 3D digital models as alternative tools in veterinary medicine education and research.

The development of population growth in Indonesia affects the need for blood which must be stored as a supply. Blood supply management in Indonesia is managed by PMI (Indonesian Red Cross). PMI is a national association in Indonesia that operates in the fields of social humanity. The Importance of blood needs makes PMI maintain blood supplies. UTD PMI Denpasar City experienced an excess of blood supplies so blood that had passed its expiration date was destroyed. Therefore, this research can provide information and recommendations to UTD PMI Denpasar City in controlling the supply of blood components. The methods used in this forecasting are the Moving Average and Exponential Smoothing methods with the data studied being the number of requests for blood components from January 2021 to April 2023. In the analysis to get the right forecasting method, the smallest MAPE value was obtained for the respective forecast demand. each. each blood component is Exponential Smoothing with an alpha of 0.9, including Packed Red Cell getting a MAPE value of 1.34%, Fresh Frozen Plasma getting a MAPE value of 6.70%, and Trombocyte Concentrat obtained a MAPE value of 7.28%.

Abstract: We introduce the stability coefficients and stable sets of complex polynomials. We define matrix graphs and the construction structures set generated by a matrix graph. We introduce matrix networks linked to graph theory. We prove that any n-tuple of commuting contractions of matrix networks satisfies the von Neumann’s inequality. We define complex polynomials over N which don’t have any positive integer roots but which have matrix roots with positive integers as entries. We show that these matrix roots are construction structures of matrix solutions of Diophantine equations. In particular, we show that the Diophantine equation X_1^n+⋯+X_m^n=X_(m+1)^n+n,m ≥ 2, admits an infinite number of matrix solutions with positive integers as entries.

In recent years, there has been a noticeable increase in the use of Machine Learning (ML) methods in a wide range of domains, including recommendation systems, text categorisation, picture analysis, and predictive credit scoring. It begins by providing an overview of the conventional asset pricing models and analysing how well they represent the intricacies of financial markets. Furthermore, the Granger causality test—which is inappropriate for non-stationary and non-linear stock factors—is a major determinant of causal link inference. Furthermore, the majority of current research does not take into account the influence of confounding factors or further confirmation of causal linkages. Unfortunately, correlation does not imply causation, because causality—rather than merely correlation—drives the actual world. For example, recommender systems may suggest a battery charger to a user after they purchase a phone, even if the latter may be the source of the former; this kind of causal relationship is irreversible. This was accomplished by incorporating causal diagrams from the structural causal model (SCM) into the stock data analysis. The possible values of closing prices were then predicted using a sliding window method in conjunction with Gated Recurrent Units (GRUs), and confounding factors were controlled using a grouped architecture modelled after the Potential Outcomes Framework (POF). Using the non-linear Granger causality test, the architecture was used to identify causal links between closing price and pertinent parameters. Lastly, comparative experimental findings show that adding causative elements to the prediction model significantly improved the performance and accuracy of closing price forecasts.

Two frequent bean diseases that significantly reduce yield in Ethiopia, including study regions, are fusarium wilt and angular leaf spot. Nonetheless, a discernible discrepancy exists between the crop's actual and potential production. Therefore, during the main cropping season of 2022 and 2023, the study was carried out in Debub Ari district and Jinka main Research station to assess how newly released common bean varieties responded to fusarium wilt and angular leaf spot diseases. Using a randomized complete block design with three replications, field tests were carried out using 22 common bean cultivars. The current study depicted that mean percent severity of fusarium wilt ranges from 24.07 up to 91.66% and angular leaf spot ranges from 8.89 up to 78.9% between tested varieties. Rore Variety reduced mean severity by 60.6% fusarium wilt and 92.98% angular leaf spot epidemics in comparison with Local variety. The highest average yield were recorded from Rore (2.4t/ha) and SER-125(2.2t/ha) whereas the lowest yield from Local (1.17t/ha and Waju (0.855t/ha) varieties. In addition to producing significant yields in both sites and seasons, SER 125 and Rore demonstrated a consistent resistance reaction against fusarium wilt and angular leaf spot. Therefore, it is better to use Rore and Ser-125 with proper management practices in production to reduce Fusarium wilt and angular leaf spot epidemics in Ari Zone and allied agro-ecologies. Furthermore, evaluating those varieties along with other potential bean candidates, to multiple disease resistance reaction across districts should be considered in the future screening studies.