Learning experience from teaching and learning methods in engineering education: instructors' viewpoint

Knowledge-based learning has been the emphasized pedagogy and balanced with skills-based learning in Engineering education for the last six decades. Students have learned and gained their experiences mainly from lectures, assignments, laboratory sessions, project works, and a final-year project or a dissertation. Besides pedagogy improvement, several teaching and learning methods such as problem-based learning, project-based learning, virtual classroom, etc., have been introduced and applied to offer a variety of learning activities to enhance graduates' competence. This paper presents an analysis of the learning experience that students gain from current teaching and learning methods instructors are using. A survey was conducted on both European and Thai instructors in Industrial Engineering departments and related fields on teaching and learning methods that they normally use and that are effective in their opinion. The survey results were analyzed and mapped on learning experience model called `LOVE' that classifies learning activities based on the nature of learning and student involvement to draw insight about experience students gain.- This work is the outcome of project "Curriculum Development of Master's Degree Program in Industrial Engineering for Thailand Sustainable Smart Industry (MSIE 4.0)" that has been funded with support from the European Commission (Project Number: 586137-EPP-1-2017-1-TH-EPPKA2-CBHE-JP). This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein

A simple framework to analyze water constraints on seasonal transpiration in rubber tree (Hevea brasiliensis) plantations

Climate change and fast extension in climatically suboptimal areas threaten the sustainability of rubber tree cultivation. A simple framework based on reduction factors of potential transpiration was tested to evaluate the water constraints on seasonal transpiration in tropical sub-humid climates, according pedoclimatic conditions. We selected a representative, mature stand in a drought-prone area. Tree transpiration, evaporative demand and soil water availability were measured every day over 15 months. The results showed that basic relationships with evaporative demand, leaf area index and soil water availability were globally supported. However, the implementation of a regulation of transpiration at high evaporative demand whatever soil water availability was necessary to avoid large overestimates of transpiration. The details of regulation were confirmed by the analysis of canopy conductance response to vapor pressure deficit. The final objective of providing hierarchy between the main regulation factors of seasonal and annual transpiration was achieved. In the tested environmental conditions, the impact of atmospheric drought appeared larger importance than soil drought contrary to expectations. Our results support the interest in simple models to provide a first diagnosis of water constraints on transpiration with limited data, and to help decision making toward more sustainable rubber plantations

Global transpiration data from sap flow measurements: The SAPFLUXNET database

Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land-atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80% of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50% of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56% of the datasets. Many datasets contain data for species that make up 90% or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (10.5281/zenodo.3971689; Poyatos et al., 2020a). The "sapfluxnetr"R package-designed to access, visualize, and process SAPFLUXNET data-is available from CRAN. © 2021 Rafael Poyatos et al.This research was supported by the Minis-terio de Economía y Competitividad (grant no. CGL2014-55883-JIN), the Ministerio de Ciencia e Innovación (grant no. RTI2018-095297-J-I00), the Ministerio de Ciencia e Innovación (grant no. CAS16/00207), the Agència de Gestió d’Ajuts Universitaris i de Recerca (grant no. SGR1001), the Alexander von Humboldt-Stiftung (Humboldt Research Fellowship for Experienced Researchers (RP)), and the Institució Catalana de Recerca i Estudis Avançats (Academia Award (JMV)). Víctor Flo was supported by the doctoral fellowship FPU15/03939 (MECD, Spain)

Global transpiration data from sap flow measurements : the SAPFLUXNET database

Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land-atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The "sapfluxnetr" R package - designed to access, visualize, and process SAPFLUXNET data - is available from CRAN.Peer reviewe

Single-cell transcriptome reveals a testis-specific expression profile of TCEA in human spermatogenesis

Transcription elongation factor A (TCEA) is a eukaryotic transcriptional molecule, required for a formation of initiation and elongation of gene transcription-mediated RNA polymerase II (RNAPII) complex, to promote transcription-coupled nucleotide excision repair (TC-NER) after RNAPII backtracking recovery. TCEA shares three isoforms in which TCEA1 is ubiquitously expressed among all eukaryotic cells. We found a spermatogenesis TCEA1 and TCEA2 expression profile has a unique transcriptional programme, compared with embryogenesis. Moreover, the testis-specific TCEA2 profile correlates with gene transcription, whereas TCEA1 specifically correlates with genes transcribed for Nuclear excision repair (NER) during human spermatogenesis. We also found that the expression activation of RNF20, a TCEA1 inhibitor, leads to expressional TCEA1 reduction, but having no direct impact on TCEA2 expression, implying the potential RNF20-dependent transcriptional switching of TCEA2 in transcriptional regulation during spermatogenesis. Our analysis defined a transcriptional bursting event where transcription-coupled repair (both Base excision repair and Nuclear excision repair) is a major pathway highly expressed in early spermatogenesis, supporting the transcriptional scanning hypothesis of which mutation of transcribed genes is effectively repaired as proposed by Xia B., et al. (2020)

Blue Native Polyacrylamide Gel Electrophoresis (BN-PAGE) for the Analysis of Protein Oligomers in Plants

Protein-protein interactions, including oligomerization, are involved in regulation of many cellular processes. Unfortunately, many proteins are expressed at a very low level in vivo, making it challenging to observe oligomerization by size-exclusion chromatography, also known as gel filtration. In this protocol, we present detailed steps to perform blue native polyacrylamide gel electrophoresis (BN-PAGE), a method to study protein oligomers in plants. The article describes protein sample preparation from transgenic Arabidopsis thaliana and running a BN-PAGE gel followed by direct western blotting or, alternatively, two-dimensional sodium dodecyl sulfide-polyacrylamide gel electrophoresis (2D SDS-PAGE). This protocol will be helpful for new researchers conducting related experiments to analyze stable protein interactions including homo- or hetero-oligomerization in plants

Host-associated microbe PCR (hamPCR): accessing new biology through convenient measurement of both microbial load and community composition

The ratio of microbial population size relative to the amount of host tissue, or “microbial load”, is a fundamental metric of colonization and infection, but it cannot be directly deduced from microbial amplicon data such as 16S rRNA gene counts. Because conventional methods to determine load, such as serial dilution plating or quantitative PCR, add substantial experimental burden, they are only rarely paired with amplicon sequencing. Alternatively, whole metagenome sequencing of DNA contributed by host and microbes both reveals microbial community composition and enables determination of microbial load, but host DNA typically greatly outweighs microbial DNA, severely limiting the cost-effectiveness and scalability of this approach. We introduce host-associated microbe PCR (hamPCR), a robust amplicon sequencing strategy to quantify microbial load and describe interkingdom microbial community composition in a single, cost-effective library. We demonstrate its accuracy and flexibility across multiple host and microbe systems, including nematodes and major crops. We further present a technique that can be used, prior to sequencing, to optimize the host representation in a batch of libraries without loss of information. Because of its simplicity, and the fact that it provides an experimental solution to the well-known statistical challenges provided by compositional data, hamPCR will become a transformative approach throughout culture-independent microbiology

Conserved Calcium-Binding Residues at the Ca-I Site Involved in Fructooligosaccharide Synthesis by Lactobacillus reuteri 121 Inulosucrase

Inulosucrase is an enzyme that synthesizes inulin-type β-2,1-linked fructooligosaccharides (IFOS) from sucrose. Previous studies have shown that calcium is important for the activity and stability of Lactobacillus reuteri 121 inulosucrase (LrInu). Here, mutational analyses of four conserved calcium-binding site I (Ca-I) residues of LrInu, Asp418, Gln449, Asn488, and Asp520 were performed. Alanine substitution for these residues not only reduced the stability and activity of LrInu, but also modulated the pattern of the IFOS produced. Circular dichroism spectroscopy and molecular dynamics simulation indicated that these mutations had limited impact on the overall conformation of the enzyme. One of Ca-I residues most critical for controlling LrInu-mediated polymerization of IFOS, Asp418, was also subjected to mutagenesis, generating D418E, D418H, D418L, D418N, D418S, and D418W. The activity of these mutants demonstrated that the IFOS chain length could be controlled by a single mutation at the Ca-I site

Strategic design for industrial engineering curriculum development to support sustainable smart industry

Technological advancement has created a new landscape for how business functions and is reshaping job profiles prompting companies to revisit their human capacity building. This chain effect ripples back and urges all academic institutes, especially in engineering schools, to not only keep their curricula up-to-date but also equip their instructors with various teaching and learning methods as well as addressing the needs of prospective students and companies, influenced by the progress of technology. Presented in this paper is a strategic design for the development of the Industrial Engineering curriculum to support the sustainable smart industry. Blue ocean strategy was applied in this curriculum development. Fifteen factors were identified to cover six categories: pedagogy, competence, industry needs to attain Industry 4.0, student needs, team's insight, and learning experiences. A new strategy was formed. This new curriculum will strategically focus on strengthening both technical and transversal competences, thematic learning to ease student understanding, and flexibility in learning to support the equal opportunity of learning. "Personalize your competence-based active thematic learning experience to support sustainable smart industry" is the tag line of the new curriculum.- This work is the outcome of project "Curriculum Development of Master's Degree Program in Industrial Engineering for Thailand Sustainable Smart Industry (MSIE 4.0)" that has been funded with support from the European Commission (Project Number: 586137-EPP-1-2017-1-TH-EPPKA2-CBHE-JP). This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein