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Tierra Viva: La Fuerza del Agro y el Encanto del Turismo en Sucre
No full textEl presente artículo revisorio analiza la evolución y el potencial de la agroindustria y el agroturismo en el departamento de Sucre (Colombia), con especial atención en los municipios de Chalán, Colosó, Santiago de Tolú y Toluviejo. A partir de fuentes oficiales, informes institucionales y experiencias locales, se examina la articulación entre el sector agrícola, las prácticas turísticas rurales y las oportunidades de desarrollo sostenible. Se evidencian las sinergias entre tradición y modernidad, y se plantean estrategias para impulsar la identidad territorial, la economía circular y la gobernanza comunitaria
Simultaneous Control of inside Air Temperature and Humidity by coupled Heating and Ventilation in a Greenhouse
No full textGreenhouse ventilation combined with heating is required to control temperature and moisture levels for a comfort and provide CO2 for good photosynthesis. The present study focuses on the simulation of a climate in greenhouse during winter. The mathematical model, based on the energy and the water vapor balances inside the greenhouse is used. The main equations of flow are solved with the FluentÒ CFD package inside and outside the greenhouse. The external conditions are those of Mediterranean climate and the greenhouse is located in Tizi-Ouzou (Algeria). The study aims at getting a better compromise between flow heating combined with the air exchange rate (a technique used for the dehumidification of the air). After describing the physical phenomena, the equations that govern these phenomena and the method of solving these equations, a program for calculating the inside temperature and humidity was developed and validated by comparison with simulation results. To simulate turbulence inside and outside greenhouse the k-e Standard turbulence model, which comes out (seems) to be more accurate than the other models, have been preferred. Analytical results are used to determinate optimal conditions of flow heating combined with ventilation rate. 
An Enhanced Pilot Aided Channel Estimation in XL-MIMO Communication Systems Using Bitterling Swallow Fish Optimization
No full textThe continuous evolution of 6th Generation (6G) wireless networks places Extremely Large-scale Multiple-Input Multiple-Output (XL-MIMO) schemes as a crucial enabler for ultra-reliable and high data rate communication. Channel estimation in XL-MIMO is crucial here because it allows the system to precisely recognize the wireless channel conditions between the transmitter and receiver, which is vital for enhancing signal processing, and resource allocation. Traditional pilot-aided channel estimation approaches face challenges, such as high error. Hence, this work proposes an innovative model called the Deep Kronecker Network-Bitterling Swallow Fish Optimization Algorithm (DKN-BSwaFOA) for pilot-aided channel estimation in XL-MIMO systems. Initially, the system model of XL-MIMO is contemplated. The pilot insertion is done at the transmitter, and the location of the pilot symbol is optimally selected using BSwaFOA. The signal is propagated over the hybrid field channel, where both farfield and near-field components coexist. At the receiver, the channel is estimated using DKN, which is trained using the proposed BSwaFOA. The experimental outcomes demonstrated that the DKN_BSwaFOA computed the minimum Root Mean Square Error (RMSE), Bit Error Rate (BER), and Mean Square Error (MSE) of 0.030, 0.002, and 0.001.OPEN ACCESS Received: 23/09/2025 Accepted: 11/11/202
Exploring the Role of DataDriven Culture and Marketing Innovation in Driving Brand Credibility and Loyalty: Evidence from Fisheries Startups-Explorando el rol de la cultura basada en datos y la innovación de marketing para impulsar la credibilidad y la lealtad de marca: evidencia de empresas emergentes del sector pesquero
No full textPurpose- This study investigates the structural relationships between data-driven characteristics, marketing innovation, sustainability practices, and their impact on brand credibility, customer loyalty, and business performance in fisheries startups. The research is grounded in the Resource-Based View (RBV) and Dynamic Capabilities Theory, emphasizing the strategic role of data culture and innovation in startup growth.
Design/Methodology/Approach-A structured questionnaire was developed based on validated measurement scales from existing literature, translated using forward–backward translation, and pre-tested with 40 respondents. Data were collected from 380 startup stakeholders in Iran's aquaculture sector. The instrument demonstrated high reliability (Cronbach’s alpha ≥ 0.81) and convergent validity (AVE ≥ 0.59). Exploratory and Confirmatory Factor Analyses (EFA/CFA) were conducted to validate the measurement model. Structural Equation Modeling (SEM) using SmartPLS was applied to test the hypothesized paths (see Figure 1).
Findings-The results reveal that data-driven characteristics significantly influence marketing innovation (β = 0.35, p < 0.001). In turn, marketing innovation enhances brand credibility (β = 0.48, p < 0.001), which positively affects customer loyalty (β = 0.52, p < 0.001). Loyalty and sustainability practices both significantly contribute to business performance (β = 0.43 and 0.39, respectively; p < 0.001). All proposed hypotheses were supported, and model fit indices confirmed the robustness of the structural model.
Practical
Implications- This research provides actionable insights for startup managers in emerging industries, particularly in aquaculture, emphasizing the integration of data analytics, innovative marketing, and sustainability to build resilient brand performance.
Originality/Value- This is among the first studies to empirically examine the integrated role of data culture, innovation, and sustainability in determining brand and performance outcomes within fisheries startups, combining theory-driven modeling with real-world entrepreneurial data
Structural seismic response prediction with LSTM-based Bidirectional Urban Safety Network using frequency domain decomposition with conditional vector
No full textHazard-consistent selection of storm scenarios for long-term storm surge hazard estimation across large geographic regions
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