Tecnológico de Monterrey

This work presents an open-loop frequency estimator able to deal with typical disturbances, yet exhibiting fast dynamics. The proposal is tested and compared experimentally against the orthogonal voltage decomposition OVD approach, which is considered the state-of-the-art open-loop frequency estimator and the recently proposed AFPLL. The results verify that the proposed approach operates correctly under unbalancing, harmonics, noise, and interharmonics, and after frequency, phase, and amplitude jumps, while exhibiting settling times about $\mathbf {25\%}$ better than the OVD, and a similar execution time. Furthermore, the proposed technique has a performance comparable to advanced frequency-locked loops , it is easy to tune, and thus, it could be seamlessly applied in typical synchronization tasks where PLLs are usually employed.

Molecular solubility is among the key properties that determine the clinical performance of a drug candidate because poor molecular solubility often indicates inadequate bioavailability. Using the CombiSolv-Exp database, we test several models (Gaussian process regression, decision trees, k-nearest neighbors) for hydration free energies by integrating Δ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Delta$$\end{document}-learning and a universal quantum-chemistry continuum solvation model, SMD. The optimal model is Gaussian process regression with MAE of 0.63 kcal/mol. The reported models improve the accuracy of SMD, but have negligible additional computational cost.

This paper reports the pedagogical approach and outcomes of a series of academic development programmes organised between 2016 and 2022 in different countries, which are grounded in the ethos of open educational practices, critical thinking, citizenship and pedagogy as well as ideas around social justice, data justice and data ethics using Open Data as open educational resources, to enable critical reflections and practical exercises with academics from different regions. Our recommendations and conclusions provide practical advice promoting a dialogue between different stakeholders to facilitate the development of curricula, workshops and resources using an open model for academic development.

Is it possible to measure how critical soft skills like leadership or teamwork are from the viewpoint of graduate studies offerings? This paper provides a conceptual and methodological framework that introduces the concept of a bipartite network as a practical way to estimate the importance of soft skills as socio-emotional abilities trained in graduate studies. We examined 230 graduate programs offered by 49 higher education institutions in Colombia to estimate the empirical importance of soft skills from the viewpoint of graduate studies offerings. The results show that: (a) graduate programs in Colombia share 31 soft skills in their intended learning outcomes; (b) the centrality of these skills varies as a function of the graduate program , although this variation was not statistically significant; and (c) while most central soft skills tend to be those related to creativity (i.e. creation or generation of ideas or projects), leadership (to lead or teamwork), and analytical orientation (e.g. evaluating situations and solving problems), less central were those related to empathy (i.e. understanding others and acknowledgment of others), ethical thinking, and critical thinking, posing the question if too much emphasis on most visible skills might imply an unbalance in the opportunities to enhancing other soft skills such as ethical thinking. ARTICLE HISTORY

Objective This study aimed to identify if there are ethnic differences in the age and sex distribution of gliomas in the Latino adult population. Methods A systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 recommendations. Databases used were MEDLINE, LILACS, Web of Science, and Scopus. Studies were included if they reported the age and/or sex distribution of gliomas in Latin adults, published in English or Spanish from January 1st, 1985, to December 1st, 2022. The quality of the studies was assessed using the Newcastle—Ottawa Quality Assessment Scale and the NIH Quality Assessment Tool. Results From 1096 articles, fifteen studies with information on 6,815 patients were selected for the systematic review, and thirteen were selected for the meta-analysis. The mean ages of diagnosis of glioma and glioblastoma were 50.9, 95\%\ CI [47.8–53.9] years and 53.33 years, 95 \% CI [51–55.6], respectively. The male-to-female incidence rate ratio of gliomas was 1.39. Conclusion Our study found mean ages of glioma and glioblastoma were 6 and 10 years lower than those reported in the CBTRUS. Our study suggests disparities in the age and sex distribution of gliomas in Latin America compared to other regions. PROSPERO registration number CRD42021274423.

Acoustic characterizations of different locations are necessary to obtain relevant information on their behavior, particularly in the case of places that have not been fully understood or which purpose is still unknown since they are from cultures that no longer exist. Acoustic measurements were conducted in the archaeological zone of Edzna to obtain useful information to better understand the customs and practices of its past inhabitants. The information obtained from these acoustic measurements is presented in a dataset, which includes measurements taken at 32 points around the entire archaeological zone, with special attention given to the Main Plaza, the Great Acropolis, and the Little Acropolis. Two recording systems were used for this purpose: a microphone and a binaural head. As a result, a measurement database with the following characteristics was obtained: it comprises a total of 32 measurement points with 4 different sound source positions. In total, there are 297 files divided into separate folders. The sampling frequency used was 96 kHz, and the files are in mat format.

Temporomandibular disorder (TMD) and irritable bowel syndrome (IBS) are 2 chronic overlapping pain conditions (COPCs) that present with significant comorbidity. Both conditions are more prevalent in women and are exacerbated by stress. While peripheral mechanisms might contribute to pain hypersensitivity for each individual condition, mechanisms underlying the comorbidity are poorly understood, complicating pain management when multiple conditions are involved. In this study, longitudinal behavioral and functional MRI-based brain changes have been identified in an animal model of TMD-like pain (masseter muscle inflammation followed by stress) that induces de novo IBS-like comorbid visceral pain hypersensitivity in rats. In particular, data indicate that increased activity in the insula and regions of the reward and limbic systems are associated with more pronounced and longer-lasting visceral pain behaviors in female rats, while the faster pain resolution in male rats may be due to increased activity in descending pain inhibitory pathways. These findings suggest the critical role of brain mechanisms in chronic pain conditions and that sex may be a risk factor of developing COPCs.

Upper limb motor recovery is highly relevant for individuals with tetraplegia after spinal cord injury (SCI). Experimental interventions based on Brain–Computer Interfaces and Functional Electrical Stimulation (BCI-FES) could provide clinical benefits. However, their effects have been scarcely reported. For this reason, a pilot study was performed for assessing the feasibility of a BCI-FES intervention in tetraplegia. Six chronic cervical SCI patients completed 12 intervention sessions with a BCI–FES controlled with the motor intention of paralyzed upper extremities. Differences in the Action Research Arm Test (ARAT), Spinal Cord Independence Measure (SCIM-III), Capabilities of Upper Extremity Questionnaire (CUE-Q), Upper Extremity Motor Score (UEMS) and Life Satisfaction Questionnaire were assessed to measure recovery. Patients’ performance and experience with the system were also evaluated. Half of the patients had a significant ARAT function improvement of more than 5.7 points. Five out of six patients had more independence, measured by a median increase of 9 points of the SCIM-III. Two patients had noticeable gains in life satisfaction and in the UEMS. There were no noticeable changes in the CUE-Q. Patients had an average success rate of 80% while attempting to control the system and rated their experience with the BCI-FES in the range of excellent with a workload perceived as moderately high. Relevant clinical improvements associated with the BCI-FES intervention were observed in most of the patients. Moreover, the BCI-FES was successfully operated by patients and offered an adequate usability and workload. Although preliminary in nature, the observed effects of the BCI-FES intervention confirm its feasibility and potential for the neurorehabilitation of chronic cervical SCI patients, that currently have limited treatment options.

Purpose Actinic conjunctivitis (AC), along with cheilitis (AChe), is part of the clinical spectrum of actinic prurigo (AP), a rare photo dermatosis affecting high-risk populations. We analysed the clinical manifestations and onset of actinic conjunctivitis (AC) and its relationship with prurigo (AP) in a susceptible population. Methods An observational and cross-sectional study was performed on the Indigenous populations from the highlands of Chiapas, Mexico. A thorough dermatologic and ophthalmologic examination was performed on patients attending a primary health care centre. Clinical features, labour and environmental factors, onset timing, and clinical staging of AC and AP were analysed. Results Of 2913 patients studied, 54 patients (108 eyes) (1.8%) had AC and 14 patients (25.9%) AP. Mean age of diagnosis was 36.18 ± 18.52 years (range: 6-70 years). Mean residence altitude was 1884 ± 434.2 m above sea level. Mean self-reported sun exposure was 5.14 ± 3.1 hours a day (range: 0.5 - 12 h). 90.7% reported exposure to biomass fuels when cooking, and 50% to farm animals. AC was the sole manifestation in 70% of cases. All patients had nasal and temporal photo-exposed conjunctiva affected. 12.9% of eyes were classified as stage-1, 64.8% as stage-2, and 22.2% stage-3. 83.3% of the patients had a hyperpigmented lesion and 35.1% had an evaporative dry eye disease. Conclusions The prevalence of AC was 1.8%. AC may be the initial or sole manifestation of AP. AC clinical manifestations included a symmetric papillo-follicular conjunctival reaction, evaporative dry eye disease, linear leucoma, hyperpigmented lesions, and pseudo-pterygia formation.

Tecnologico de Monterrey recently launched the Tec21 Educative Model to develop relevant, comprehensive, integrated competencies in students that enable them to solve present and future professional challenges creatively and strategically. A current primary focus of university education is to incorporate sustainable development goals (SDG) in the curricular plans. Our study involved the Biomimetics and Sustainability course, which aligns with the SDGs. It is a course offered to first-year students in the School of Engineering and Science. This research aimed to analyze the evaluation methodology in developing certain sub-competencies: scientific thought, understanding other codes, digital culture, systems operations in engineering and sciences, and applying sustainability principles. This study contributes evidence and findings to help implement and operationalize competency-based assessments. The investigation centered on assessing student deliverables in the course, including two primary “Evidences,“ platform interactions, exams, and assignment accomplishments. The analysis showed that the students developed a higher overall competency level for the second Evidence (93.61 ± 0.76%) versus the first one (80.22 ± 11.61%). The present article is based on the experience of using the student portfolio as a tool for evaluation in the educational technology topic.

Industry 5.0 represents the latest phase of industrial transformation, emphasizing the integration of advanced technologies with human capabilities to achieve new levels of productivity, efficiency, and sustainability. This research explores the emerging approaches for enterprises and human integration towards Industry 5.0. This position paper highlights the key technological advancements and their impact on industrial processes, as well as the strategies employed by enterprises to foster seamless collaboration between humans and machines. Additionally, it discusses the challenges and potential solutions in achieving successful integration and presents case studies and examples to illustrate real-world implementations. This research aims to provide insights into the evolving landscape of Industry 5.0 and its implications for enterprises and human workers.

Higher education is a key element in collaborative networks with other bodies such as the government and social economy organizations that support the improvement of productive processes and increase productivity, considering sustainability and its commitment to society. To reinforce this knowledge generation, the educational models have been restructured through the New School, seeking to get closer to real experiences and seek added value to the network’s actors through dual education, promoting collaborative work with social and solidarity economy organizations. The learning acquired with this new educational model intends to seek benefits to the society and eliminate cognitive limitations that are similar to the labor field. The purpose of this article is to present an analysis of the learning methodologies proposed in a network called NODESS, structured by a Higher Education Institution in the impact of cooperatives and government.

Training deep Convolutional Neural Networks (CNNs) presents challenges in terms of memory requirements and computational resources, often resulting in issues such as model overfitting and lack of generalization. These challenges can only be mitigated by using an excessive number of training images. However, medical image datasets commonly suffer from data scarcity due to the complexities involved in their acquisition, preparation, and curation. To address this issue, we propose a compact and hybrid machine learning architecture based on the Morphological and Convolutional Neural Network (MCNN), followed by a Random Forest classifier. Unlike deep CNN architectures, the MCNN was specifically designed to achieve effective performance with medical image datasets limited to a few hundred samples. It incorporates various morphological operations into a single layer and uses independent neural networks to extract information from each signal channel. The final classification is obtained by utilizing a Random Forest classifier on the outputs of the last neural network layer. We compare the classification performance of our proposed method with three popular deep CNN architectures (ResNet-18, ShuffleNet-V2, and MobileNet-V2) using two training approaches: full training and transfer learning. The evaluation was conducted on two distinct medical image datasets: the ISIC dataset for melanoma classification and the ORIGA dataset for glaucoma classification. Results demonstrate that the MCNN method exhibits reliable performance in melanoma classification, achieving an AUC of 0.94 (95% CI: 0.91 to 0.97), outperforming the popular CNN architectures. For the glaucoma dataset, the MCNN achieved an AUC of 0.65 (95% CI: 0.53 to 0.74), which was similar to the performance of the popular CNN architectures. This study contributes to the understanding of mathematical morphology in shallow neural networks for medical image classification and highlights the potential of hybrid architectures in effectively learning from medical image datasets that are limited by a small number of case samples.

Although wastewater-based surveillance (WBS) is an efficient community-wide surveillance tool, its implementation for pathogen surveillance remains limited by ineffective sample treatment procedures, as the complex composition of wastewater often interferes with biomarker recovery. Moreover, current sampling protocols based on grab samples are susceptible to fluctuant biomarker concentrations and may increase operative costs, often rendering such systems inaccessible to communities in low-to-middle-income countries (LMICs). As a response, passive samplers have emerged as a way to make wastewater sampling more efficient and obtain more reliable, consistent data. Therefore, this study aims to review recent developments in passive sampling technologies to provide researchers with the tools to develop novel passive sampling strategies. Although promising advances in the development of nanostructured passive samplers have been reported, optimization remains a significant area of opportunity for researchers in the area, as methods for flexible, robust adsorption and recovery of viral genetic materials would greatly improve the efficacy of WBS systems while making them more accessible for communities worldwide.

The classical dynamics of the isotropic two-dimensional harmonic oscillator confined by an elliptic hard wall is discussed. The interplay between the harmonic potential with circular symmetry and the boundary with elliptical symmetry does not spoil the separability in elliptic coordinates; however, it generates nontrivial energy and momentum dependencies in the billiard. We analyze the equimomentum surfaces in the parameter space and classify the kinds of motion the particle can have in the billiard. The winding numbers and periods of the rotational and librational trajectories are analytically calculated and numerically verified. A remarkable finding is the possibility of having degenerate rotational trajectories with the same energy but different second constant of motion and different caustics and periods. The conditions to get these degenerate trajectories are analyzed. Similarly, we show that obtaining two different rotational trajectories with the same period and second constant of motion but different energy is possible.

This paper explores the benefits of digitally enhancing Kanban Lean practice in support of Just-in-Time (JIT) reconfigurable supply processes for increased efficiency and reliability. Ensuring JIT-supply of raw materials and parts is essential to achieve Lean production and reduce inventory storage and capital tied up in unprocessed inventory. After a literature positioning, this research work highlights the importance for the industry, more than ever before, to build reliable and reconfigurable supply chains to easier the absorption of demand diversification while using different raw materials and parts at the beginning of their production flows. Kanban, as a solid JIT approach with visual signaling, is still a suitable Lean lever to activate given demand diversification, however, some limits are observed when using physical Kanban cards in a mass-customization context and the Industry 4.0 era. Hence, this work aims to analyze the usefulness of Digital Kanban Systems (DKSs) in support of demand diversification absorption that will increase the reliability of production lines and supply chains.

The industrial journey towards digitalization and sustainability requires an understanding of companies' status and desired state. New business models, like digital servitization, can support the transition from pilots to full implementations on the shop floor and the innovation of the end-to-end value chains. This paper aims to identify the requirements for industrial companies to undergo the transition towards digital servitization, where sustainability is at the core. The proposition is that Sustainability-as-a-Service can enable industrial companies, like manufacturers, to deliver sustainability values through digital servitization. This study presents a framework that contributes to the body of knowledge of the digitalization and servitization domains by describing the phenomenon of digital servitization and narrating its relationship to the sustainability domain. The research method of this work includes a review of relevant literature , and the analysis of four use cases, where challenges from real companies were identified and transformed into requirements. The results are summarized in a list of requirements for companies to follow towards a digital servitization business model, which includes technological enablers, organizational skills, knowledge of influential external factors, understanding of sustainability principles , and the contextual situation of the value chain. This study can guide industrial companies to advance towards Sustainability-as-a-Service by providing them with concrete measures on how to prepare for this journey.

[BEST PAPER AWARD] To boost revenues and create a lasting competitive advantage in the present global market, an increasing number of manufacturing companies are experimenting with shifting from product-centric offerings to service solutions leveraging digital technologies according to the Industry 4.0 paradigm. This (digital) transformation, known as "Digital Servitization", aims to provide new (digital) services and/or enhance existing ones. Yet, this transformation is challenging and manufacturing companies frequently have trouble meeting their expectations. To shed light on the current state of the Digital Servitization trend in the global manufacturing sector, researchers involved in the ASAP Service Management Forum and the IFIP WG5.7 Special Interest Group on "Service Systems Design, Engineering and Management" have conducted an international survey targeting manufacturing SME managers. The main survey objectives are twofold: (i) to analyse how manufacturing companies are implementing digital technologies to support their Digital Servitization transformation from traditional business models based on product sales to models focused on service delivery, and (ii) to identify which critical issues and best practices are characterizing the Digital Servitization transformation of manufacturing companies. Survey results have demonstrated a rising trend in the global manufacturing sector towards the use of digital technologies for service delivery, but more mature servitization strategies, data management activities, coordination efforts at the ecosystem level, and supporting tools for conscious decisions in the delivery of (digital) services are still required to succeed in the new Digital Servitization arena.

This paper investigates manufacturing companies' current and planned usage of collaborative robots along with possible reasons for the observed slow growth in implementing Collaborative Robot Applications (CRAs) in the industry. The paper also discusses whether similarities can be seen in the Gartner Hype Cycle for technology adoption. Findings from an industrial survey suggest increasingly positive attitudes towards using CRAs in manufacturing and final assembly operations as tools and support mechanisms aiding human operators. Better methodologies and best practices are urgently needed for successful CRA implementation and efficient manufacturing human-robot collaboration design.

A Fifth Industrial Revolution has emerged, referred to as Industry 5.0, which represents a paradigm shift towards the integration of advanced technologies and the latest innovations in manufacturing processes and systems with a new hallmark in mind characterized by three main features: human-centricity, sustainability, and resilience. In the current scientific literature, there is still a lack of efforts to systematically review the state-of-the-art of Digital Transformation towards Industry 5.0. This systematic literature review aims to address this research gap by investigating the academic progress at the crossroads of Digital Transformation and Industry 5.0. The systematic review covered the analysis of journal articles and conference papers within the Industry 5.0 domain that were published during the last five years until March 2023. An overview of Digital Transformation and Industry 5.0 research fields is firstly captured by enumerating a list of prominent journals and international conferences for publishing on Industry 5.0-related content, and secondly by illustrating the significance of Digital Transformation and Industry 5.0 based on keywords classification.