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Keywords: association rule mining, digital characterization, game agent, game player, real-time strategy games
Published in DKUM: 23.05.2024; Views: 131; Downloads: 7
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Abstract: The last-mile logistics is regarded as one of the least efficient, most expensive, and polluting part of the entire supply chain and has a significant impact and consequences on sustainable delivery operations. The leading business model in e-commerce called Attended Home Delivery is the most expensive and demanding when a short delivery window is mutually agreed upon with the customer, decreasing possible optimizing flexibility. On the other hand, last-mile logistics is changing as decisions should be made in real time. This paper is focused on the proposed solution of sustainability opportunities in Attended Home Delivery, where we use a new approach to achieve more sustainable deliveries with machine learning forecasts based on real-time data, different dynamic route planning algorithms, tracking logistics events, fleet capacities and other relevant data. The developed model proposes to influence customers to choose a more sustainable delivery time window with important sustainability benefits based on machine learning to predict accurate time windows with real-time data influence. At the same time, better utilization of vehicles, less congestion, and fewer failures at home delivery are achieved. More sustainable routes are selected in the preplanning process due to predicted traffic or other circumstances. Increasing time slots from 2 to 4 h makes it possible to improve travel distance by about 5.5% and decrease cost by 11% if we assume that only 20% of customers agree to larger time slots.
Keywords: supply chain management, real-time, home delivery, business modeling, e-commerce, time window
Published in DKUM: 19.02.2024; Views: 265; Downloads: 53
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Abstract: Depression is a prevalent comorbidity in patients with severe physical disorders, such as cancer, stroke, and coronary diseases. Although it can significantly impact the course of the primary disease, the signs of depression are often underestimated and overlooked. The aim of this paper was to review algorithms for the automatic, uniform, and multimodal classification of signs of depression from human conversations and to evaluate their accuracy. For the scoping review, the PRISMA guidelines for scoping reviews were followed. In the scoping review, the search yielded 1095 papers, out of which 20 papers (8.26%) included more than two modalities, and 3 of those papers provided codes. Within the scope of this review, supported vector machine (SVM), random forest (RF), and long short-term memory network (LSTM; with gated and non-gated recurrent units) models, as well as different combinations of features, were identified as the most widely researched techniques. We tested the models using the DAIC-WOZ dataset (original training dataset) and using the SymptomMedia dataset to further assess their reliability and dependency on the nature of the training datasets. The best performance was obtained by the LSTM with gated recurrent units (F1-score of 0.64 for the DAIC-WOZ dataset). However, with a drop to an F1-score of 0.56 for the SymptomMedia dataset, the method also appears to be the most data-dependent.
Keywords: multimodal depression classification, scoping review, real-world data, mental health
Published in DKUM: 11.08.2023; Views: 529; Downloads: 72
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Abstract: Notary's escrow is a legal relationship between the notary and the parties to the underlying legal transaction, which is generally a sales agreement. Notary's escrow is regulated with mandatory statutory rules commissioning public notaries and the rules of the mandate agreement. Mutual obligations of the parties to the underlying legal transaction in and of themselves do not influence the notary's obligations under a notary's escrow agreement unless they are included in the notary's escrow agreement as a constituent part thereof. Slovenian legislation stipulates the general conditions of notaries' operations. However, it does not stipulate specific conditions that must be fulfilled in order to place documents, funds and securities into escrow with a notary, nor does it stipulate the mandatory component elements of the escrow order. Therefore, The Slovenian regulation of notary's escrow should be supplemented.
Keywords: escrow services, notaries' escrow services, notary escrow of funds, notary escrow of documents, selling real estate, conditions of notary's escrow, risk of non-performance, legitimate interest for notary escrow
Published in DKUM: 15.01.2021; Views: 1025; Downloads: 0

Abstract: The empirical record on PPP tests for transition economies is far from being so opulent as it is for the developed market economies. This paper attempts to fill this gap by scrutinizing the theory of PPP on a sample of Central and Eastern European economies. The paper has two main advances with respect to previous PPP studies. First, it employs a monthly data base on real exchange rates for a panel of 12 Central and Eastern European economies by testing the theory separately with respect to US dollar and with respect to Euro. Second, we utilise a panel unit root test that involves the estimation of the ADF regression in a SUR framework. Since our study found support for the validity of PPP in some reforming European economies, special attention should be devoted to individual country-specific factors that cause PPP deviations.
Keywords: purchasing power parity, real exchange rates, stationarity test, exchange rate, currency, exchange rates, macroeconomics, parity, purchasing power of money, purchasing power
Published in DKUM: 21.07.2017; Views: 1479; Downloads: 180
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