18 results match your criteria: "Sonora Institute of Technology[Affiliation]"

Microbial Inoculants in Sustainable Agriculture: Advancements, Challenges, and Future Directions.

Plants (Basel)

January 2025

Laboratory of Microbial Resource Biotechnology, Department of Agronomic and Veterinary Sciences, Sonora Institute of Technology, 5 de Febrero 818, Centro, Ciudad Obregón 85000, Sonora, Mexico.

The rapid growth of the human population has significantly increased the demand for food, leading to the intensification of agricultural practices that negatively impact the environment. Climate change poses a significant threat to global food production, as it can disrupt crop yields and modify the lifecycle stages of phytopathogens and pests. To address these challenges, the use of microbial inoculants, which are bioproducts containing beneficial microorganisms known as plant growth promotion microorganisms (PGPMs), has emerged as an innovative approach in sustainable agriculture.

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Nowadays, organizations must comply with high-quality standards, health and safety regulations, and socially sustainable practices to succeed in a globalized world. Supply Chains (SC) enable them to satisfy their customers' needs for quality products just in time and at the best price. However, management systems (MS) need to be improved to identify, evaluate, and control ergonomic risks, which opens a research opportunity for Ergonomics Management Systems (EMS) as they apply to sustainable SCs.

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In social foraging situations, some group members actively engage in behaviors associated with searching for patch zones (produce), while others join previously discovered patch zones (scrounge). Pavlovian conditioning enables individuals to anticipate a biologically significant event or unconditioned stimulus, such as resource availability, when paired with another event, such as a blue light, also known as a conditioned stimulus (CS). Considering that individuals' prior experiences with habitat features may influence their preference for producer or scrounger responses, this study aims to assess the impact of resource-associated signals on the group produce index.

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One of the cognitive abilities most affected by substance abuse is decision-making. Behavioral tasks such as the Iowa Gambling Task (IGT) provide a means to measure the learning process involved in decision-making. To comprehend this process, three hypotheses have emerged: (1) participants prioritize gains over losses, (2) they exhibit insensitivity to losses, and (3) the capacity of operational storage or working memory comes into play.

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Sexual addiction is associated with serious health problems. Due to that fact, it is quite important to perform a comprehensive assessment. The Sex Addiction Screening Test (SAST-R) is a self-administered questionnaire with good psychometric properties used in several countries.

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This paper is concerned with fault reconstruction based on sliding mode observers; its contribution is twofold: on the one hand, it develops a novel sliding mode observer whose nominal system is nonlinear, thus relaxing former limitations on the subject, namely, rank restrictions, linear outputs, and conservative bounds; on the other hand, based on the referred sliding mode observer, a novel robust fault reconstruction scheme is constructed which can solve a variety of problems that former methodologies cannot treat. Nonlinearities are cast as convex expressions, which enables obtaining design conditions in the form of linear matrix inequalities. Examples are provided to compare the proposal with former methodologies, thus highlighting the contributions.

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Substance use disorders (SUD) have been related to high criminal justice costs, expensive healthcare, social impairment, and decision-making deficits. In non-social decision-making tasks, people with SUD tend to take more risks and choose small immediate rewards than controls. However, few studies have explored how people with SUD behave in social decision-making situations where the resources and profits depend directly on participants' real-time interaction, i.

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Modeling interactions in ambient intelligence.

Pers Ubiquitous Comput

April 2021

Department of Information Systems and Technologies, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.

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Human computer-interaction in Latin America.

Pers Ubiquitous Comput

March 2021

School of Computer Sciences Engineering, Universidad Tecnológica de Panamá, Campus Metropolitano Dr. Víctor Levi Sasso, Vía Puente Centenario, Ciudad de Panamá, 0801 República de Panamá.

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Therapeutic effects of chitosan in veterinary dermatology: A systematic review of the literature.

Prev Vet Med

May 2021

National Institute of Agrarian and Veterinary Research, Vila do Conde, Portugal; Center for Study in Animal Science (CECA), University of Oporto, Oporto, Portugal.

Chitosan is a natural polysaccharide with biocompatibility, biodegradability, nontoxicity, antimicrobial, and hemostatic properties. This biopolymer has been used in different pharmaceutical forms; therefore, it has an attractive potential for dermal applications in veterinary medicine. The aim of this review is to assess the healing potential of chitosan, based on its dermatological effects on animals, to enrich the therapeutic options of veterinary clinicians.

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Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring.

J Healthc Inform Res

February 2021

International Collaboration on Repair Discoveries and GF Strong Rehabilitation Research Program, University of British Columbia, Vancouver, V6T-1Z4 Canada.

Remote monitoring of health can reduce frequent hospitalisations, diminishing the burden on the healthcare system and cost to the community. Patient monitoring helps identify symptoms associated with diseases or disease-driven disorders, which makes it an essential element of medical diagnoses, clinical interventions, and rehabilitation treatments for severe medical conditions. This monitoring can be expensive and time-consuming and provide an incomplete picture of the state of the patient.

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The increase of mental illness cases around the world can be described as an urgent and serious global health threat. Around 500 million people suffer from mental disorders, among which depression, schizophrenia, and dementia are the most prevalent. Revolutionary technological paradigms such as the Internet of Things (IoT) provide us with new capabilities to detect, assess, and care for patients early.

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Background: The aim of the study was to examine the contribution of chronological age (CA), skeletal maturation, training experience and concurrent body size descriptors, to inter-individual variance in left ventricular mass (LVM) among female adolescent soccer players.

Methods: The sample included 228 female soccer players 11.8-17.

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This paper presents a static output feedback controller design for discrete-time nonlinear systems exactly represented by Takagi-Sugeno models. By introducing past states in the control law as well as in the Lyapunov function, more relaxed results are obtained. Different conditions in terms of linear matrix inequalities are provided.

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Quality control test for sequence-phenotype assignments.

PLoS One

December 2015

Department of Biochemistry and Structural Biology. Instituto de Fisiología Celular at the Universidad Nacional Autónoma de México, México DF, 04510, México.

Relating a gene mutation to a phenotype is a common task in different disciplines such as protein biochemistry. In this endeavour, it is common to find false relationships arising from mutations introduced by cells that may be depurated using a phenotypic assay; yet, such phenotypic assays may introduce additional false relationships arising from experimental errors. Here we introduce the use of high-throughput DNA sequencers and statistical analysis aimed to identify incorrect DNA sequence-phenotype assignments and observed that 10-20% of these false assignments are expected in large screenings aimed to identify critical residues for protein function.

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Effects of communication media choice on the quality and efficacy of emergency calls assisted by a mobile nursing protocol tool.

Comput Inform Nurs

November 2014

Author Affiliations: Department of Computing and Design, Sonora Institute of Technology (Dr Castro), Ciudad Obregon; Computer Science Department, Center for Scientific Research and Higher Education of Ensenada (Dr Favela), Ensenada; and Epidemiologic and Health Service Research Unit, Aging Area, XXI Century National Medical Center (Dr Garcia-Peña), Mexican Institute of Social Security, Mexico City, Mexico.

The transition from paper to electronic-based records in the healthcare industry has posed several challenges to conventional medical practices. The introduction of technology in day-to-day medical and nursing practices deserves careful consideration. In this work, we report the results of a controlled experiment to compare nurses' consultation in emergency calls in six different conditions.

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The complexity of arsenic toxicology has confounded the identification of specific pathways of disease causation. One focal point of arsenic research is aimed at fully characterizing arsenic biotransformation in humans, a process that appears to be quite variable, producing a mixture of several arsenic species with greatly differing toxic potencies. In an effort to characterize genetic determinants of variability in arsenic biotransformation, a genetic association study of 135 subjects in western Sonora, Mexico was performed by testing 23 polymorphic sites in three arsenic biotransformation candidate genes.

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We report the results of a screen for genetic association with urinary arsenic metabolite levels in three arsenic metabolism candidate genes, PNP, GSTO, and CYT19, in 135 arsenic-exposed subjects from the Yaqui Valley in Sonora, Mexico, who were exposed to drinking water concentrations ranging from 5.5 to 43.3 ppb.

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