cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/16539840.v1
title: Supplementary data to the publication: What’s wrong with SwYG? Reaching the limits of the Saccharomyces cerevisiae molecular and analytical toolbox

description: Supplementary Material pertaining to the manuscript:<br><b>What’s wrong with SwYG? Reaching the limits of <i>S. cerevisiae</i> molecular and analytical toolbox</b> Ewout Knibbe, Eline D. Postma, Francine J. Boonekamp, Sofiia Dashko, Jordi Geelhoed, Anne-Marijn Maat, Marijke A.H. Luttik, Marcel van den Broek, Pascale Daran-Lapujade<br><b>Abstract:</b>The construction of powerful cell factories requires extensive remodelling of microbial genomes, entailing many rounds of transformations to perform the large number of desired gene modifications. However, increasing the number of genetic interventions inevitably increases the occurrence of unwanted mutations and effects. Using glycolysis as paradigm, a previous study developed a <i>Saccharomyces cerevisiae</i> strain in which the glycolytic genes, relocated to a single locus, can be easily swapped by any new design, thereby enabling fast and easy remodelling of the entire pathway. After 27 genetic modifications performed in 43 transformation rounds, the Switchable Yeast Glycolysis (SwYG) strain grew ca. 20% slower than its ancestor with the same glycolytic genes with native glycolysis design. Exploring the cause of this slower growth rate, the present study reflects on the genetic and analytical challenges encountered by extensive strain construction programs and provides design guidelines for integration of large constructs in the yeast genome. This study also suggests a potential involvement of the yeast glycolytic enzyme phosphoglycerate kinase (Pgk1) in PI(3)P synthesis and autophagy, as found in mammalian cells.<br>Includes supplemental figures and tables with descriptions of their content. <br>
DOI: 10.6084/m9.figshare.18995864
title: Supplementary Material for: Baseline QRS area and reduction in QRS area are associated with lower mortality and risk of heart failure hospitalization after Cardiac Resynchronization Therapy

description: Introduction: Cardiac resynchronization therapy (CRT) is an established treatment for heart failure in selected patients. However, current guideline indications do not accurately predict individual prognosis with CRT, and up to 30% are non-responders. Previous studies have shown that QRS area reduction following CRT is associated with improved survival. This study evaluates the incremental value of using QRS area derived from digital ECG recordings, preoperatively and during CRT pacing. Methods: Medical records of 445 patients receiving CRT implants at a large-volume tertiary care center in Sweden were retrospectively evaluated. Digital electrocardiograms (ECG) before and after CRT implantation were collected and ECG parameters were analyzed in relation to a primary composite endpoint of heart failure hospitalization or death from any cause. Results: 147 patients (33%) reached the primary endpoint (93 deaths and 103 heart failure hospitalizations) over a median follow-up time of 2.7 years. A larger pre-implant QRS area (HR, 0.89; [0.85-0.93]; p=&lt;0.0001; adjusted HR, 0.93; [0.88-0.98]; p=0.011) and larger QRS area reduction (HR, 0.92; [0.88-0.96]; p=&lt;0.0001; adjusted HR, 0.95; [0.90-0.99]; p=0.042) post-implant correlated with a reduced risk of reaching the primary endpoint. This association was seen in patients with native left bundle branch block morphology, non-specific intraventricular conduction delay, or paced ECG morphology but not in patients with right bundle branch block. Conclusion: Larger pre-implant QRS area and QRS area reduction was associated with better clinical outcome following CRT in this retrospective material. This knowledge could help optimize patient selection and postoperative management.
DOI: 10.48370/ofd/zvkacw/5hiwil
title: Sadkowski Adam.pdf

description: :unav
DOI: 10.48370/ofd/zvkacw
title: Patogeny grzybowe występujące na terenie Nadleśnictwa Nurzec w drzewostanie liściastym

description: Promotor: Tomasz Oszako
DOI: 10.6084/m9.figshare.19255103
title: co-occurance-truth-table

description: 共发生真值表
DOI: 10.6084/m9.figshare.19255103.v1
title: co-occurance-truth-table

description: 共发生真值表
DOI: 10.48370/ofd/0o9kr1/qrz9y4
title: Sadowniczyk Milena.pdf

description: :unav
DOI: 10.48370/ofd/0o9kr1
title: Zachowanie leśnych zasobów genowych metodą inwentaryzacja najstarszych drzew i ginących gatunków drzewiastych na terenie nadleśnictwa Drygały

description: Promotor: Adolf F. Korczyk
DOI: 10.48370/ofd/uxhvth/9zwyh0
title: Sadowski Stanislaw.pdf

description: :unav
DOI: 10.48370/ofd/uxhvth
title: Zamieranie dębu szypułkowego (Quercus robur L.) Leśnictwie Franciszkowo Nadleśnictwa Giżycko w okresie 2001-2011

description: Promotor: Rafał Paluch
DOI: 10.14457/tu.the.2020.1040
title: A fuzzy credibility based chance constrained optimization model for multiple objective aggregate production planning problem in a supply chain under an uncertain environment

description: This study focuses on developing a mathematical model for an Aggregate Production Planning (APP) problem in a Supply Chain (SC) including multiple suppliers, a production plant, and multiple customers under uncertain environments. The uncertain conditions including uncertainties of customer demand, operation costs (purchasing cost, production cost, transportation cost, and so on), production plant’s allowable defective rate of raw material, and supplier’s service level. The proposed model considers simultaneously four conflicting different objective functions, which are (1) minimizing the total cost of Supply Chain (SC), (2) the minimizing of total product shortages to enhance the customer’s satisfaction, (3) minimizing the variation in changing workforce level and (4) maximizing total of purchasing cost. To solve the proposed Fuzzy Multiple objective Mixed Integer Linear Programming (FMOMILP) model, a hybrid approach has been developed by combining the Fuzzy Chance-constrained Programming (FCCP) and the Fuzzy Multiple Objective Programming (FMOP). Firstly, the proposed fuzzy multiple objectives model is transformed into the equivalent crisp multiple objectives model by using chance-constrained programming based on the credibility measure of a fuzzy event. Secondly, the Fuzzy Multiple Objective Linear Programming (FMOLP) integrating the concept of the weight-consistent solution is applied to find the optimal efficient solutions. Then, a sensitivity analysis is carried out to explore the impact of the uncertainty and generate a set of optimal solutions (both the balance and unbalance compromise solution among four conflicting objective functions and decision variables). The obtained outcomes can assist to satisfy the decision-maker's aspiration, as well as provide more alternative strategy selections based on their preferences. Finally, a case experiment is given to demonstrate the validity and effectiveness of the proposed formulation model.
DOI: 10.14457/tu.the.2020.1041
title: Optimization for cold chain management in northern Thailand: a case study in sweet corn supply chain

description: Nowadays, the quality of food, freshness and food safety are getting more attention. Agricultural products have characteristics that are perishable, short shelf life and temperature sensitive. Thus, cold chain management is necessary. In order to ensure safe, fresh, high-quality products for customers, this article formulates a mathematical model aiming to generate the cold chain management plan for the potential fruit supply chain in northern region of Thailand to maintain the quality and reduce loss and also increase the value of the product. The Mix-integer linear programing (MILP) model was developed to generate the planning, and the Excel Open Solver was used to solve the problem. The result indicates the cold chain management plan can suggest the route and modes of storage and transportation to convince the supply chain members to follow the plan and ensure maximum profit for each member, also for the whole supply chain and also for the benefit of customers at the end of the chain as well.
DOI: 10.14457/tu.the.2020.1042
title: A multi-objective stochastic model for biomass supply chain planning with economic and carbon footprint consideration

description: This paper focuses on designing a multi-objective biomass supply chain planning model for energy generation that aims to simultaneously minimize total cost and minimize carbon footprint from transportation. Stochastics model and fuzzy model are developed to making strategic decisions (optimal factory locations) along with tactical decisions (material flows, truck types, etc.) while capturing the uncertainty from demand. After that, sensitivity analysis is further conducted to compare the results from two models. The managerial insights are provided based on the real data from North of Thailand. The stochastic model can take into account all kinds of levels of demand hence the demand at a high level could be satisfied 100% while the fuzzy model is not. Finally, we found the conflict between two objectives from both models. The results show that when the alpha equal to 1 which considers only the total cost objective, the total costs from both models are similar, however, the stochastics model provides the carbon emission value very lower than the fuzzy model. The fuzzy model decides to open only 2 factories, but the stochastic model decides to open 3 factories.
DOI: 10.14457/tu.the.2020.1043
title: Market basket analysis in retails-study on the promotional pricing effect on frequent itemsets against demand elasticity in a retail store

description: Market basket analysis is known as a technique of which retail businesses widely used for identifying itemsets which are bought together. The technique itself has been accepted by many upon its usefulness in aiding business subunits dealing directly with customers to operate more profitably; in specifics, the output of the analysis – known as association rules of frequent itemsets – provide sales and marketing business subunits to plan its strategies effectively in launching marketing campaigns and promotions for boosting sales revenue. Moreover, the technique could be extensively employed with the designing of stores’ product arrangements to provide customers the convenience in shopping along a guided route. In this study, The Royal Project store was used as the case for discovering frequent itemsets through data mining using the FP-Growth algorithm. The results obtained, with respect to the top five percent of frequency occurrence, were eight association rules, in which were analyzed further with aim to identify the justifiable pricing promotions for the paired itemsets. To achieve the objective, the relationship between the discounted price and the expected transaction amounts were examined where a positive correlation was found along with an elbow point which suggests the position of break-even between the price discount and the transaction quantity for the frequent itemset – marking the marginal level of promotional discount.
DOI: 10.14457/tu.the.2020.1044
title: Locating primary care facilities with utilization rate: case study of Surin, Thailand

description: This paper aims to investigate existing primary care facilities in terms of capacityand capability to serve a population in the capital district of Surin, Thailand. The primarycare facility is the first tier of healthcare service which provides primary care services. Oneof the problems in healthcare system is operational shortcomings of existing location ofprimary care facilities. The mixed-integer programming model is used to locate primarycare facilities. Minimization of total primary care system cost of fixed cost, operation costand traveling cost is the objective function in the model. The model has been formulatedaccording to the policy from the Ministry of public health in Thailand. This policy is called“Public policy of health insurance” which ensures Thai people can receive the medicalservices at low cost. By minimizing the travel cost for patients allow us to assume thatpatients choose facility to go by prior on their budget. The results show that closing someRef. code: 25635922041024SZN(2)existing primary care facilities still could cover a population in the capital district of Surin.In addition, the increasing capacity analysis shows that the number of primary health carefacilities and number of areas covered by the public hospital changed significantly whenthe capacity of primary care facilities is increased.
DOI: 10.14457/tu.the.2020.1045
title: Design and development of automation system for unmanned aerial vehicle (UAV) deployment

description: Unmanned Aerial Vehicle (UAV) or sometimes called drone flying robot can fly thousands of kilometres according to the specific characteristics provided. Currently, many applications of drone have been obviously seen in the industrial activities. To accomplish those activities completely, the flight time of the robotic aircraft should be long enough. In practice, one of the most crucial problems is on the flight time, and most of the drones are powered by Li-Po batteries which only powers drone up to 25-30 minutes for a single flying cycle. The drone is forced to come back to the station as quickly as possible for removing and recharging battery, and of course, all these tasks are done manually by human. Loading and unloading battery from the socket compartment frequently where the force is applied with a random direction might destroy the contact area between the battery and the socket surface. This has the direct effect on keeping the battery in place, and the clipper or lock system might be loosed. These effects will let the battery fall down accidentally during flying.To solve that problem, this research proposed the alternative conceptual design of a small power station to load and unload battery from the drone’s mainframe automatically with a constant force. The proposed design platform provides six battery storages which can support the drone to fly back to the sky continuously without waiting. To do this, product design and development (PDD) concept and Kano analysis method have been used to generate the conceptual design where the necessary compartments are listed properly without trial-and-error thinking process. DJI Matrice 100 drone specification was applied to as a case study to scope the limitations where design of the small power station consists of two main functions: drone positioning, and battery exchange mechanism. For investigating whether or not the developed platform could support the load distributed during landing, the finite element analysis (FEA) and kinematic calculation were virtually carried out to make sure the structure was designed in the safety boundary where the simulation of the process started from the drone was taken off after being charged battery fully until it was come back to the station. Finally, the optimal design of the small power station system was constructed according to the suggestions from the obtained simulation results.
DOI: 10.14457/tu.the.2020.1046
title: Factors affecting customers’ in-app advertisement purchase intention: a case study of Thailand

description: The steadily growing of the online market making in-app advertisement is one of the major areas for organization to advertise products or service. The organization needs the consumer to access in-app advertisements to influence consumer intention to purchase advertise products and services. This study aims to explore the factors influence consumer intention to purchase advertisement products via in-app advertisement utilizing the Uses and gratifications Theory (UGT). This study applies a quantitative method by applying the Structural Equation Modeling (SEM) technique is obtained through an online survey. The sampling method used was convenience sampling with a total of 400 respondents. The result of this research showed thatperceived informativeness, irritation, and personalization have significant influence on attitude toward in-app advertised and intention to purchase advertisement product. Additionally, we found that perceived informativeness has a positive impact on credibility. On the other hand, perceived entertainment and credibility have insignificant impacts on attitude toward in-app advertisements. Our finding cancontribute to the knowledge regarding an in-app advertisement and UGT, enabling researchers and practitioner to be able to prioritize the advertising strategy more effective from the aspect of information, irritation, and preference in personalization to help them promoting in-app advertisement.
DOI: 10.14457/tu.the.2020.1048
title: Analysis and improvement of late completion of aircraft engine maintenance using fuzzy project management techniques and fuzzy resource requirement

description: This research aims to develop a method to analyze causes and to solve a late completion problem of aircraft engine maintenance jobs in a maintenance, repair, and overhaul (MRO) company. It applies fuzzy PERT/CPM methods that can determine realistic completion times and a schedule of engine maintenance jobs and develops a fuzzy resource requirement (FRR) method to determine whether the available resources are enough to conduct the maintenance activities according to the schedules. A case study is conducted in an MRO company in Indonesia. The results show that when the fuzzy activity times are estimated from real data, the fuzzy PERT/CPM methods can accurately predict the completion times of engine maintenance jobs. However, most jobs have high possibility to be completed late. Corrective actions are proposed toreduce activity times of 5 activities to make all maintenance jobs completed on time. Moreover, the developed FRR method is effective to evaluate that current available resources are sufficient to conduct all maintenance activities according to the schedules.
DOI: 10.14457/tu.the.2020.1049
title: Deterioration prediction of reinforced concrete expressway structures attacked by corrosion based on Markov chain

description: The performance of reinforced concrete structures experience deterioration during their lifetime due to corrosion of steel reinforcement. Three significantdeteriorations as chloride, carbonation and moisture movement are considered in the present work for service life estimation of the expressway in Bangkok, Thailand. The first objective of this study was to predict structural service life based on inspectionresults by Deterministic model and Markov Chain model. A number of locations along expressway in Bangkok were inspected by various non-destructive testing such as covering depth, concrete properties, progress of deterioration, etc. Corrosion initiation and corrosion cracking time due to carbonation, chloride and moisture were predicted. The results shown that it has very low chance that structure will becorroded or cracked due to carbonation in 100 years after being service because carbonation depth is very small compared to covering depth. However, there is a chance that reinforcing steel will be corroded and cracked due to chloride in some structural components due to severe environment or small covering depth. Moisture is also a major cause of corrosion initiation and corrosion cracking. The results show that continuous exposure to moisture for less than a day, corrosion can be initiated. However, cracking takes a longer time due to low corrosion rate. Therefore, protection of moisture exposure is important for durability of structure. The secondobjective was to compare predicted carbonation coefficient and chloride diffusion coefficient by DPT1332 Thailand standard with actual measurement. The results show that value predicted by DPT1332 standard were higher than measured value. This is due to uncertainties of actual structure such as concrete properties, environmental conditions, moisture content, etc. The modify equation prediction of carbonation coefficient was proposed based on influential factors including carbondioxide concentration, rebound hammer value, water-binder and moisture content. From this research, deterioration and risk of infrastructure safety can be predicted based on Markov Chain. The transition matrix by Markov chain will be proposedevery five years of prediction. The prediction will be classified that followed by condition states such as no damage, corrosion initiation and corrosion cracking. The results show that around 10% (263 columns) of column 10cm in 2020 will be changed from no damage to be corroded and around 9% start to be cracked due to chloride in 2025. Around 0.5% of main crossbeam in 2020 will be changed from the no damage to be corroded and around 0.4% start to be cracked due to carbonation in 2025. Around 11% of Cantilever deck and main crossbeam (92 and 62) in 2020 will be cracked due to moisture in 2025. Finally, infrastructure maintenance can be managed effectively in Thailand.
DOI: 10.14457/tu.the.2020.1050
title: Improvement of superhydrophobic property of materials by using oil-in-water emulsion of alkyl ketene dimer

description: Modifications of material’s surfaces by water-repellent agents typically make use of polyolefin, which require harsh organic solvents and become difficult to recycle. Moreover, seeking more sustainable green chemical processes and alternative materials are focused for many industries. The aim of this work is to enhance water-repellent property of material products such as paper and cotton fabric by treating with water-based emulsion of fatty acid derivatives, alkyl ketene dimer (AKD). AKD emulsions (or nanoparticles) were fabricated by a classical oil-in-water emulsion with ultrasonication-assisted process. Different type of solvents acted as oil phase e.g., chloroform, cyclohexane, hexane, and ethyl acetate was used which named Emul-1, Emul-2, Emul-3, and Emul-4, respectively. Without the adverse effect of surfactant, an anionic sodium dodecyl sulphate (SDS) was used as stabilizing agent. The obtained AKD emulsions showed high stability, monodispersed with an average size in range of 140 - 180 nm for all cases. At as-prepared pH of 5.5, the zeta potential value of AKD emulsions were negatively charged (&gt; -57.0 mV) which came from sulphate (SO42-) groups of SDS.By using an ultrasonic spraying process, the emulsion was coated onto the 2 types of materials’ surface e.g., paper, and cotton fabric. The treated papers showed a large improvement in hydrophobicity, with a water contact angle (WCA) of 130º by using Emul-2. The results from attenuated total Reflection-Fourier transform infrared spectroscopy indicated chemical reactions between AKD and hydroxyl groups from paper’s cellulose structure. For cotton fabric treatment which expected to use as hygiene mask protection, not only the improvement of hydrophobic property but also anti-microorganism e.g., bacterial and/or virus was studied. Then, the Emul-2 was adjusted by changing type of surfactant to amphoteric lecithin or phosphatidylcholine (PC) which contained active functional groups to against microorganism. The treated fabric showed improvement of hydrophobicity with WCA of 145° (close to superhydrophobicity) and had efficiency to against gram-positive bacterial (S.aureus) of 73.52 %.
DOI: 10.48370/ofd/brehwn/dq0ws3
title: Rytel pospolity (Hylecoetus dermestoides).JPG

description: :unav
DOI: 10.48370/ofd/brehwn
title: Rytel pospolity (Hylecoetus dermestoides (Linnaeus, 1761)), C-385

description: Coleoptera collection