cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2022.773
title: Integrated life-cycle economic and environmental impact assessment for road freight transport: a case study for electric, compressed natural gas, and diesel trucks

description: Road freight transportation plays an important role in the growth of the national economy and the operation of road freight transportation affects the environment dramatically. The alternate solution is to switch from the internal combustion engine trucks to cleaner energy trucks namely electric trucks which are considered as zero-emission vehicles. This study aims to compare electric trucks to conventional fuel truck as diesel and compressed natural gas trucks in terms of environmental and economical to assess the potential option by using the life cycle assessment approach. The goal and scope of this study covered from raw materials acquisition to end-of-life of vehicles both vehicle cycle and fuel cycle or Cradle to Grave system boundary. The functional unit is determined as 1,110,200 kilometers and 968,720 kilometers for medium and heavy-duty trucks respectively with 10 years of service lifetime. The data used in the study is collected from various previous literature, model, and databases. The impact categories included in the study have been selected to cover all the impact of all activities which are climate change, ozone depletion, particulate matter formation, photochemical oxidant formation, human toxicity, terrestrial acidification, terrestrial ecotoxicity, freshwater ecotoxicity, freshwater eutrophication, and fossil depletion based on ReCiPe method. Including total cost of ownership (TCO) analysis to assess the economic performance of each fuel type of truck. The results show that electric truck has a high competitiveness among diesel and compressed natural gas truck, especially in terms of climate change and particulate matter formation. However, human toxicity, freshwater ecotoxicity, and freshwater eutrophication for electric trucks are the worst regarding the power generation system in Thailand. In addition, Lithium-ion batteries also play the majority in the manufacturing phase of electric trucks. Moreover, Considering TCO, medium- and heavy-duty electric trucks outperform diesel and compressed natural gas trucks although the purchase price and battery replacement cost are excessively high. The environmental impact of road freight transportation in Thailand would be significantly reduced and mitigated if further improvements to these factors, including policies and legislation to support the adaptation of electric trucks, could be implemented.
DOI: 10.14457/tu.the.2022.774
title: Load-dependent vehicle routing problem for chilled and frozen products delivery

description: This research investigates a class of vehicle routing problem (VRP) that considers load-dependent distance and route time window. The problem is motivated by a real case of delivering frozen and chilled products of suburban in Thailand. A mixed integer programming (MILP) model for the problem is formulated to minimize the total load-dependent distance. The model is derived from the energy-minimizing vehicle routing problem. A cluster-first route-second-based heuristic approach that employs a load-dependent saving algorithm in the clustering stage and an optimization model in the routing phase is developed for addressing large-scale instances. The performance of the mathematical model solved by a commercial solver and the heuristic algorithm is tested on 23 problem instances. In addition, to evaluate the impact of the vehicle capacity and route time restrictions on the solution, the problem instances are tested with four different combinations of these two parameters (case 1: 100 boxes, 9 hours, case 2: 100 boxes, 5 hours, case 3: 80 boxes, 9 hours, case 4: 80 boxes, 5 hours). The obtained results indicate that the heuristic algorithm can reach solutions with an average of 6.74%, 6.04%, 14.72 %, 10.74% off optimal for seven instances, four instances, seven instances, seven instances for case 1, 2, 3, and 4, respectively, and 12.46 %, 13.63%, 15.76%, 17.65% off the lower bound on 16 instances, 19 instances, 16 instances, 16 instances for case 1, 2, 3,4 respectively.
DOI: 10.14457/tu.the.2022.775
title: Vehicle route planning with reduced gender-differentiated impact

description: The logistics sector has long struggled with a lack of gender diversity. Particularly in the freight transport sector, female employees account for a small portion of the entire workforce. Despite the apparent advantages of gender diversity and equality, the study on how transportation design affects gender equality and women’s empowerment is still lacking. As an extension of the traditional vehicle routing approach, the proposed vehicle routing approach considers the male-female perspective that female drivers are more vulnerable to operating in high-risk routes and excessive workload conditions. The model minimizes the total cost comprising the wage, transportation cost, and penalty cost associated with the transportation risk and the excessive energy expenditure. As a result, the model can prevent the operation in high-risk routes. Drivers perform tasks according to their energy expenditure allowances, which differ between males and females. A case study of Chonburi province in Thailand is used to demonstrate the application of the proposed model. The proposed VRP approach determines the route for trucks with male and female drivers to deliver products from a warehouse to supermarkets in the area. In our analysis, the performance of the proposed model is compared to that of the traditional VRP model. A route plan with a good balance between economic performance and favorable working conditions for all drivers can be created by the proposed approach. This research contributes to expanding the current vehicle routing literature by developing a VRP approach that can promote the UN's sustainable development goal of gender equality and women’s empowerment. Any future application of our proposed model should encourage the participation of female drivers in the freight transport workforce and provide the logistics industry with greater gender diversity.
DOI: 10.14457/tu.the.2022.776
title: An (R, Q) inventory model under limited storage with backlog: a case study of medical supply

description: Efficient inventory management is crucial in healthcare facilities, particularly for high-demand medical supply items, such as medical gloves, to ensure the item availability, while minimizing costs of managing the item’s inventory. This independent study presents a simulation-based optimization for the inventory management of medical gloves using the (R, Q) inventory policy with backlog. The study focuses on a constant lead time scenario and limited storage capacity. Spreadsheet simulations of the (R, Q) inventory system were conducted to evaluate the policy performance using a combination of Microsoft Excel and Python. The cyclic coordinate method embedded with the golden section search was employed to determine the optimal reorder point (R) and order quantity (Q) that result in the minimum total annual cost, which consists of ordering, inventory holding, backlog, and over-storage costs. Results from computational study based on actual demand data show that this simulation-based optimization approach can help healthcare facilities effectively manage medical glove inventory to meet demand, while minimizing the total annual cost.
DOI: 10.14457/tu.the.2022.777
title: Suitable inventory level for multiple products sharing limited warehouse space

description: The inventory cost optimization model is studied in this paper. The base-stock policy or the order-up-to policy is determined using a simulation to imitate an inventory system under periodic review. A combination of Python code and an Excelspreadsheet is used to simulate the space sharing of two products, reducing the computational burden. The Cyclic Coordinate Search method (CCS) is implemented to find the optimal values of the inventory target level for each product when limited space is shared in a distribution center. As space is limited, an external warehouse is rented to store excessive inventory. In cases where demands are not satisfied, they are considered lost sales. After placing a replenishment order, the supplier delivers within varied lead times. Based on the simulation results, it is evident that space sharing is more beneficial compared to other cost optimization cases demonstrated in this paper.Using real demand data enhances the reliability of the simulation results.
DOI: 10.14457/tu.the.2022.778
title: Sustainable supplier evaluation and selection using analytical hierarchy process (AHP)

description: Analytic hierarchy process (AHP) is a decision-making tool used to prioritizealternatives based on multiple criteria. Sustainability criteria typically includeenvironmental, social, and economic aspects. Sustainable. In each criteria contain subcriteria,for economic sub-criteria consists of price, quality, service, and delivery.Environment sub-criteria consist of environmental management, green design, andresource consumption. Social sub-criteria consist of social responsibility, health andsafety and human right. This research paper proposes AHP (Analytical hierarchyprocess) method to select best supplier from 3 different suppliers based onsustainability criteria. Sustainable AHP is a valuable tool for organizations that aim tomake sustainable decisions and reduce their environmental impact.
DOI: 10.14457/tu.the.2022.779
title: A case study-structural evaluation of an existing RC building

description: The reinforced concrete structure has been used in various forms of construction for a long time because of three superior qualities: elasticity, durability, and economy. However, RC structural performance may be decreased from many factors over time, for example, material deterioration, building usage incompatible with a building design, etc. Therefore, structural evaluation is necessary to confirm structural performance capacity with building design and guidelines for maintenance plans. This study evaluates the structural performance of an existing building in terms of loading capacity, serviceability, and durability according to DPT 1902- 19, which is associated with ACI 562 and ACI 318. Structural evaluation is considered on some structural members of the building. In order to conduct structural analysis and structural assessment, firstly visual inspections and detailed inspections are conducted to collect current structural and material properties. Based on results, structure performance is evaluated.
DOI: 10.14457/tu.the.2022.780
title: Market basket analysis of drug store in quarter period since 2018 to 2020

description: Many firms' distribution strategies have had to adapt due to the impact of the strong competition in the business of selling planting equipment as a result of the Covid-19 scenario, and individuals are more likely to plant trees. As a result, there are more competitors in the tree planting market. Our company is one of the indoor planting equipment suppliers. In addition to increasing sales and profit, I'll use Method Market Basket Analysis to investigate client buying behavior. To increase the likelihood of selling products by changing the marketing plan in light of the study conclusions.The purpose of this research is to use Market Basket Analysis to adjust customer behavior in order to determine which products customers buy together. Then, retailer can manage the winning products to set the promotion or marketing activity.For the result from 3 years (2018 , 2019 and 2020) the winning product that should to drive the sale and set promotion or campaign is H034&H036,H034&H003 and H034&B001. And retailer should to use this method to analyzed customer behavior which product that customer buy it’s together in many times.
DOI: 10.14457/tu.the.2022.781
title: Lignin/zinc oxide nanoparticles for use as UV-resistant and antioxidant agents for bio-plastic composites

description: A new sustainable approach to producing lignin/ZnO nanoparticles has been developed through research using black liquor from the soda pretreatment process of oil palm empty fruit bunches. This approach reduces the number of preparation processes and waste generated during processing. This research studied the influences of temperature, reaction time, and mass ratio of lignin to zinc on the characteristics of the obtained nanoparticles using various analytical techniques, including a color spectrophotometer, X-ray diffraction (XRD), field emission scanning electron microscope (FE-SEM) with energy dispersive X-ray spectroscopy (EDS) analysis, Fourier transforms infrared (FTIR), Atomic Absorption Spectrophotometer (AAS), thermal gravimetric analysis (TGA), and UV-Visible spectroscopy. The lignin/ZnO nanoparticles that were produced were utilized as additives to improve the UV resistance and antioxidant characteristics of polylactic acid (PLA) films via solvent casting. The resulting PLA-based composite films showed superior UV resistance and antioxidant properties compared to neat PLA films, while also exhibiting enhanced hydrophobicity and mechanical characteristics due to the added nanoparticles. This cost-effective and environmentally friendly method for producing lignin/ZnO nanoparticles holds great potential for various industries, including smart packaging and cosmetics.
DOI: 10.25345/c5fj29p9v
title: MassIVE MSV000092953 - Proteomic analysis of PROSER2 overexpressing cells
title: Pancreatic Ductal Adenocarcinoma (PDAC) is diagnosed at an advanced stage in around 70% of patients and has a dismal 5-year survival rate of less than 11%. This dismal prognosis arises not only due to the absence of diagnostic markers and molecular targets but also due to its aggressive metastatic characteristics. In this research, we took a departure from conventional proteomic studies to identify new molecular targets for pancreatic cancer. We chose uPE1 from an extensive pancreatic cancer proteomic research database and focused our investigation on Proline and Serine Rich 2 (PROSER2), a protein that ranked high in both the cell membrane and cytoplasm. While PROSER2 has been reported to be associated with tumor progression, its exact function remained unclear. In our study using cell lines and patient-derived cells, PROSER2 exhibited a higher expression pattern primarily in cells derived from primary tumors compared to those from metastatic tissues. Overexpression of PROSER2 significantly reduced the metastatic ability of cancer cells, whereas its suppression had the opposite effect. Through proteomic analysis, we discovered that PROSER2 interacts with STK25 and PDCD10, proteins associated with cancer metastatic signaling, and this interaction was confirmed in PROSER2-overexpressing MIAPACA-2 cells. Immunocytochemistry in patient-derived xenograft (PDOX) cells further verified the co-localization of endogenous PROSER2 with STK25 and PDCD10 in the cell membrane and cytoplasm. Taken together, this study is the first to describe the novel role of PROSER2 in antagonizing invasion and proliferation.
DOI: 10.34740/kaggle/dsv/6537208
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.57756/r4cvtt
title: From historical expedition diaries to whole genome sequencing: a case study of the likely extinct Red Sea Torpedo Ray

description: Torpedo rays (Torpedinidae, Torpediniformes) 
are small to moderately large batoids
that produce an electric discharge. In the latest lists of living rays, 
13 species are accepted in the genus Torpedo, including three of 
doubtful validity and several recently discovered undescribed species. 
Among the valid species is the critically endangered, possibly extinct, 
Torpedo suessii Steindachner, 1898, the
Red Sea torpedo, of which only four specimens have been recorded in the 
literature until now. Here, the extended specimen approach was applied 
to re-describe and analyse the lectotype of T. suessii (NMW 88240) at 
the Natural history museum in Vienna, that has been added to the fish 
collection in December 1897. The approach included research of 
historical information and whole genome sequencing with Illumina 
technology from liver and muscle tissue followed by genome assembly and 
phylogenetic analysies.
DOI: 10.25345/c59w0988f
title: MassIVE MSV000092954 - Individual traits, not syndromes, influence herbivore assemblages in central European willows
title: Untargeted metabolomics data generated for the above publication for 13 lowland willows in Czech Republic and Austria. Extraction and methods ands reported in Leong et al. (in preparation) and Sedio et al. 2021 Frontiers in Ecology and Evolution, https://doi.org/10.3389/fevo.2021.679638 [doi:10.25345/C59Z90N8R] [dataset license: CC0 1.0 Universal (CC0 1.0)].
DOI: 10.6084/m9.figshare.23904671
title: Transcriptional regulation of the mouse <i>EphA4</i>, <i>Ephrin-B2</i> and <i>Ephrin-A3</i> genes by the circadian clock machinery

description: Circadian rhythms originate from molecular feedback loops. In mammals, the transcription factors CLOCK and BMAL1 act on regulatory elements (i.e. E-boxes) to shape biological functions in a rhythmic manner. The EPHA4 receptor and its ligands Ephrins (EFN) are cell adhesion molecules regulating neurotransmission and neuronal morphology. Previous studies showed the presence of E-boxes in the genes of <i>EphA4</i> and specific Ephrins, and that <i>EphA4</i> knockout mice have an altered circadian rhythm of locomotor activity. We thus hypothesized that the core clock machinery regulates the gene expression of <i>EphA4</i>, <i>EfnB2</i> and <i>EfnA3</i>. CLOCK and BMAL1 (or NPAS2 and BMAL2) were found to have transcriptional activity on distal and proximal regions of <i>EphA4</i>, <i>EfnB2</i> and <i>EfnA3</i> putative promoters. A constitutively active form of glycogen synthase kinase 3β (GSK3β; a negative regulator of CLOCK and BMAL1) blocked the transcriptional induction. Mutating the E-boxes of <i>EphA4</i> distal promoter sequence reduced transcriptional induction. EPHA4 and EFNB2 protein levels did not show circadian variations in the mouse suprachiasmatic nucleus or prefrontal cortex. The findings uncover that core circadian transcription factors can regulate the gene expression of elements of the Eph/Ephrin system, which might contribute to circadian rhythmicity in biological processes in the brain or peripheral tissues.
DOI: 10.6084/m9.figshare.23904671.v1
title: Transcriptional regulation of the mouse <i>EphA4</i>, <i>Ephrin-B2</i> and <i>Ephrin-A3</i> genes by the circadian clock machinery

description: Circadian rhythms originate from molecular feedback loops. In mammals, the transcription factors CLOCK and BMAL1 act on regulatory elements (i.e. E-boxes) to shape biological functions in a rhythmic manner. The EPHA4 receptor and its ligands Ephrins (EFN) are cell adhesion molecules regulating neurotransmission and neuronal morphology. Previous studies showed the presence of E-boxes in the genes of <i>EphA4</i> and specific Ephrins, and that <i>EphA4</i> knockout mice have an altered circadian rhythm of locomotor activity. We thus hypothesized that the core clock machinery regulates the gene expression of <i>EphA4</i>, <i>EfnB2</i> and <i>EfnA3</i>. CLOCK and BMAL1 (or NPAS2 and BMAL2) were found to have transcriptional activity on distal and proximal regions of <i>EphA4</i>, <i>EfnB2</i> and <i>EfnA3</i> putative promoters. A constitutively active form of glycogen synthase kinase 3β (GSK3β; a negative regulator of CLOCK and BMAL1) blocked the transcriptional induction. Mutating the E-boxes of <i>EphA4</i> distal promoter sequence reduced transcriptional induction. EPHA4 and EFNB2 protein levels did not show circadian variations in the mouse suprachiasmatic nucleus or prefrontal cortex. The findings uncover that core circadian transcription factors can regulate the gene expression of elements of the Eph/Ephrin system, which might contribute to circadian rhythmicity in biological processes in the brain or peripheral tissues.
DOI: 10.5281/zenodo.8375929
title: Data from: Specialization: a multidimensional and integrative perspective

description: <strong>Netwotk_information: </strong>Information of every interacting network for which the different specialization metrics were estimated from the repository https://www.web-of-life.es/ (except data of lichens). Contains the number of species of both classes of organisms, the total number of species of each networks, the country and the coordinates. <strong>Lichen_networks: </strong>Information of every interacting network for mycobiont species and <em>Nostoc</em> phylogroups of 9 forests across a latitudinal gradient in Chile. Each sheet of the Excel document shows the incidence matrix of each of the forest. <strong>Abstract:</strong> Specialization remains as a controversial and ambiguous term in ecology. Although it has been usually measured using a dichotomic and simplified classification of <em>specialists</em> and <em>generalists</em>, its nature is by far more complex. In the case of biotic interactions, the assignation of these two labels, is usually based on the number of interacting partners (one or few versus many). Here we provide a more precise, quantitative, and objective interpretation of the specialization phenomenon combining three different dimensions and metrics (partner richness, Simpson’s evenness, and d’-index) that offer complementary information to quantify specialization. Hence, partner richness is a metric associated with the <em>specificity</em>, Simpson’s evenness is related with the <em>preference</em> and d’ index with the <em>selectivity</em> of the biotic interactions. Consequently, we propose a 3D specialization space combining these three metrics which allows to identify the degree of biotic specialization fleeing from its simplified historical interpretation. The proposed space was subsequently evaluated in five natural interacting systems (host-parasite, plant-ant, plant-pollinator, plant-disperser, and mycobiont-cyanobacteria) using available data comprising 116 networks with quantitative observations. The results indicate the prevalence of a lax specialization, where most organisms tended to show low values in at least one of the metrics. Predominantly, observations showed high values of specificity and low values of preference and selectivity. This relaxed specialization may provide advantages of being specialized, without sentencing specialization to its limitations when being too tight. The implementation of this framework provides a useful tool that allows to identify specialization in a more objective, integrative, and universal way for future specialization studies.
DOI: 10.14457/tu.the.2022.783
title: Application of long-short term memories (LSTM) for pose recognition in quality control station

description: The time-motion study aims to find the standard time and improve production efficiency in manufacturing. This paper applies the Deep Learning model to recognize worker motion elements to have an automatic and effective system to improve productivity. Human pose and motion recognition are used to reduce production management costs. Each pose's training and testing video dataset is collected from the shoe manufacturing firm's camera at the specific Quality Control station. We propose applying the Long-Short Term Memories (LSTM) model, one of the particular kinds of RNN, with a kinematic base. Mediapipe Pose is used to express the body poses under the kinematic type, representing the human body's shape before feeding it into the LSTM model to train. The experiment conducted three work elements: pickup, inspection, and storage. After combining the LSTM model with Mediapipe Pose, we can detect the labels of workers' activities through video-based input and promising application to real-time cameras. The intersection rule is proposed in this study to improve the "flickering effect" to improve the accuracy up to 99.88%, 94.86%, and 100% for the inspection, pickup, and storage actions, respectively.