Herramientas de Accesibilidad
The bioprocess monitoring market, valued at $12.3 billion in 2023, is expected to grow at a CAGR of 9.1% to reach $20.5 billion by 2030. This growth is driven by biosensors, machine learning, and Industry 4.0. Innovations like Raman spectroscopy and NMR have improved metabolite profiling accuracy, leading to enhanced process control. Artificial intelligence-driven models have reduced batch variability by 20%, while digital twin technologies have reduced process development time by 25%. Automated fed-batch strategies have increased recombinant protein yields by 15-25%, while microfluidic bioreactors enable high-throughput screening with a 5-fold reduction in reagent costs. Soft-sensor technologies have adjusted metabolic flux projections by 35%, reducing process variation. IoT-enabled bioprocessing has reduced manual interventions by 40%, improving operational effectiveness.
Industrial Applications for Bioprocessing and Biomanufacturing
The human right to food has necessitated coordinated actions to ensure adequate, continuous, and sustainable access to nutritious and safe food for all. This study examined the challenges of realizing this right through approaches rooted in peasant community economies, food sovereignty, and the consideration of environmental and health conditions. The methodology was a content analysis of semi-structured interviews conducted with agroecological producers from rural families in the Department of Santander (Colombia). The results highlighted challenges like dependency on welfare programs and agricultural production obstacles, underscoring the need to counteract traditional market practices. Furthermore, the study addressed issues related to investment and state support, agricultural training, and community participation as key factors for achieving food sustainability and self-sufficiency. It also critically evaluated how market policies have perpetuated inequalities and undermined this fundamental right.
Territorios
The Museo Viaje al corazón de la panela arises from interdisciplinary research in Anthropology, History, Semiotics and Design, aimed at rescuing the oral memory of the panela agroindustry in Piedecuesta (Santander, Colombia). Through a biographical-narrative approach and fieldwork in local trapiches, stories were collected about the sugarcane boom, union organization and the impact of de-ruralization. The analysis with ATLAS.ti made it possible to visualize semantic networks and base a museo-graphic proposal that connects past and present, highlighting the heritage, identity and cultural value of panela production in the municipality.
Santander Estudios De Patrimonio
Motivation to publish is a key competence in university research training, although it is still little explored from a comparative approach in Latin America. This study analyzed the motivation to publish in university students from Peru, Ecuador, and Colombia, considering three dimensions: commitment, behavior, and intention. The Motivation to Publish Scientific Articles Scale (EMP-AC) was applied to 268 participants, complemented with a sociodemographic form. The data were processed in the software jamovi v.2.6.44, and the results show that intention is the dominant dimension in the three countries, followed by behavior and commitment. In addition, contextual differences were identified: in Ecuador, intention predominated, while in Colombia, concreteness in publications stood out. These findings provide comparative evidence and guide universities to design programs that integrate technical training with motivational strategies that strengthen the research identity.
Education Sciences
The World Health Organization considers cutaneous leishmaniasis (CL) to be one of the most important neglected tropical diseases (NTDs). The application of geostatistical models, in conjunction with sociodemographic and environmental factors, enables the understanding of disease epidemiology and facilitates the implementation of targeted measures and effective case management. This research aimed to evaluate the association between climatic, sociodemographic, and socioeconomic factors with the monthly CL incidence rate at the municipality level in Colombia from 2007 to 2021. An ecological study was conducted, including laboratory-confirmed notifications of CL reported in municipalities located below 1,700 meters above sea level through the National Public Health Surveillance System. Climate data were sourced from NASA, and sociodemographic and socioeconomic variables were obtained from the National Planning Department. Hierarchical spatio-temporal regression models within a Bayesian framework were used to analyze the monthly CL. A total of 121,828 cases of CL were analyzed, with an annual median of 7,605 cases. Standardized incidence rates (SIR) ranged from 0 to 16,072 per 100,000 population (median: 105.7; IQR: 46.7-419). Eight of the 11 studied factors were associated with the monthly cases of CL: rainfall, urban dimension, and Venezuelan migration were associated with a decrease in CL cases, while qualitative housing deficit, internal migration, the multidimensional poverty index, the index of unmet basic needs, and forest coverage were associated with an increase in CL cases. CL incidence in Colombia fluctuated during the study period, with high spatial heterogeneity linked to climatic, sociodemographic. and socioeconomic factors. These findings highlight the necessity for customized territorial approaches to the prevention and control of CL, emphasizing the importance of considering municipal characteristics and aligning strategies with the Colombian Strategic Plan for CL.
Plos Neglected Tropical Diseases
Background: Dairy products provide invaluable sustenance for human populations and any factor that impairs dairy production is a threat to our future food supply. Dairy cattle parasitism is a critical and often unrecognized danger that harms cows; threatens producer livelihoods; can reduce food safety, and hurts farm profitability. Specifically, parasites cause illness and death, reduce milk production, slow weight gain, and harm carcass quality. They may cause abortions, transmit serious bacterial diseases, and harm human health. Cattle movement restrictions to prevent parasite spread add to production costs. Two general parasite types are those found internally (endoparasites) or externally to the animal (ectoparasites) and common parasite classes include: nematodes, trematodes, cestodes, protozoans, arachnids, and insects. Conclusions: This paper reviews global economic and health impacts of dairy cattle parasitism including discussions of testing methods, treatment strategies, and resistance avoidance.
Parasites and Vectors
Universidad de Santander UDES. Vigilada Mineducación.
Resolución otorgada por el Ministerio de Educación Nacional: No. 6216 del 22 de diciembre de 2005 / Personería Jurídica 810 de 12/03/96.
Institución sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución 12220 de 2016.
Notificaciones administrativas y judiciales:
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