cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2021.73
title: Life cycle assessment-based optimal economic for sustainable municipal solid waste management system in Yangon City, Myanmar

description: Municipal solid waste (MSW) management is one of the important global issues in this era. To minimize this problem, several techniques have been employed for escalating MSW. However, the emissions of the MSW management sector impact the environment and human health. This study mainly focuses on the MSW in the municipal area of the Yangon city, Myanmar on the characteristic of background information (center of economic zone, densely populated, rapid MSW generation and its composition, absence of collection system, unorganized recyclable materials, and current waste practicing). This research approaches the life cycle assessment (LCA) and cost-benefit analysis (CBA) method. A cradle to grave system boundary deals with a functional unit of 1 ton of MSW. The purpose of this study is to estimate the potential environmental impacts and the economic feasibility of MSW projects to propose sustainable MSW management system for Yangon city. The municipal area disposes approximately 93% of its generation to open dumping sites. This study analyzes the six environmental impacts using LCA and estimates the economic feasibilities of the project using CBA to support the decision-maker to choose the sustainable management system. The LCA results show that a BAU scenario is the highest environmental impact and scenario F would reduce the impacts than the other scenarios. The CBA results show that BAU is the lowest economically feasible option and scenario E is, on the other hand, the most economically feasible. By means of the LCA and CBA method, it can provide the important suggestion to pinpoint the upgrade MSW management in the municipal area to contribute to the National Solid Waste Management Strategy and Master plan of Myanmar.
DOI: 10.14457/tu.the.2021.74
title: Effects of ammonium sulfate and ammonium carbonate as contaminated ammonia in fly ash on properties of mortars

description: Post-coal combustion process with SCR or SNCR technologies is widely used to reduce NOx gas in coal power plants. This is done by NH3 injection to convert NOx gas to N2. Some unreacted ammonia left in the process can cause ammonia- contaminated fly ash which are mostly found in forms of ammonium sulfate ((NH4)2SO4) and ammonium carbonate ((NH4)2CO3). The objective of this study is to investigate the effects of (NH4)2SO4 and (NH4)2CO3 in fly ash on the properties of mortars with varied ammonia concentrations in the ammonium salts which are 0, 100, 200, 600, and 1000 ppm. As the ammonia contaminated fly ash does not contain only a single type of ammonium salt, this study also investigates the blended ammonium salts of (NH4)2SO4 and (NH4)2CO3. The varied ratios of (NH4)2SO4 to (NH4)2CO3 are 0, 0.25, 0.5, 0.75, and 1 at the total ammonia concentration in the ammonium salt of 200 ppm. The types of fly ash which are used in the tests are fly ashes having low CaO (FAR), high CaO (FAA), and high CaO with high free lime (FAB) contents at the total ammonia concentration of 200 ppm. The high free lime fly ashes which contain total free lime contents of 5% and 10% are also investigated at the total ammonia concentration of 200 ppm. Mortar specimens with 30% replacement of fly ash and w/b of 0.5 were prepared. The ammonia contamination was prepared by dissolving ammonium salts in water. The test results show that the workability of fresh mortars containing ammonium salts was improved. Setting times of cement pastes containing ammonium salts were delayed. Compressive strength of mortars containing (NH4)2SO4 decreased when compared to that of mortars with no ammonium salts. On the other hand, the compressive strength of mortars containing (NH4)2CO3 increased. Total shrinkage of mortars containing (NH4)2SO4 increased when compared to that of mortars with no ammonium salts. On the other hand, total shrinkage of mortars with (NH4)2CO3 decreased. The test results of properties of mortars containing both ammonium salts with different ratios of (NH4)2SO4 to (NH4)2CO3 were in between the properties of the mortars containing (NH4)2SO4 or (NH4)2CO3 separately. For the test results of properties of mortars containing different types of fly ash, the effects of ammonium salts show the same tendency as in the above explanation. Quantitively, the differences of results come from the differences in chemical compositions of the fly ashes. For properties of mortars containing high contents of free lime, the results show that the workability of fresh mortars containing fly ash with high free lime content decreased while the compressive strength of mortars containing fly ash with high free lime content increased when compared to mortars containing low free lime fly ash.
DOI: 10.14457/cu.the.2014.1558
title: Ionic-liquid based separation of azeotropic mixtures
DOI: 10.14457/tu.the.2020.1123
title: การบริหารจัดการแรงงานต่างด้าวในเขตพื้นที่จังหวัดปทุมธานี

description: การศึกษาครั้งนี้มีวัตถุประสงค์เพื่อศึกษาสถานภาพของปัญหาแรงงานต่างด้าวที่มีอยู่ในพื้นที่จังหวัดปทุมธานี เพื่อศึกษาถึงวิธีการหรือแนวทางที่หน่วยงานของรัฐหรือรัฐบาลใช้ในการจัดการปัญหานี้ และเพื่อเสนอแนะแนวทางในการพัฒนาแรงงานต่างด้าวในเขตพื้นที่ให้มีประสิทธิภาพมากขึ้น โดยการวิจัยครั้งนี้เป็นการวิจัยเชิงคุณภาพ เครื่องมือวิจัยได้แก่ แบบสัมภาษณ์อย่างมีโครงสร้างและการสังเกตสภาพแวดล้อม ถึงการทำงาน สถานที่ทำงาน สวัสดิการที่ได้รับ และที่อยู่อาศัยของแรงงานต่างด้าว พื้นที่ในการศึกษาได้แก่จังหวัดปทุมธานี กลุ่มประชากรที่ศึกษา ได้แก่ ผู้อำนวยการสำนักบริหารแรงงานต่างด้าว ผู้กำกับการตรวจคนเข้าเมือง กรมการปกครอง ผู้ประกอบการ บริษัทจัดหางานแรงงานต่างด้าว นายหน้า เจ้าหน้าที่ ตำรวจ แรงงานต่างด้าว นำข้อมูลที่ได้มาตรวจสอบและวิเคราะห์ผลการสัมภาษณ์ ผลการศึกษาพบว่า แรงงานต่างด้าวเขตพื้นที่จังหวัดปทุมธานีเพิ่มมากขึ้นทุกวัน จากผลกระทบของการเคลื่อนย้ายแรงงานต่างด้าวในด้านเศรษฐกิจ สังคม วัฒนธรรม การเมืองการปกครองที่ขาดการจัดสรรดูแลที่ครอบคลุมจากหน่วยงานรัฐที่เกี่ยวข้อง ขาดมาตรการในการควบคุมไม่เป็นไปตามหลักนโยบายของรัฐ รวมไปถึงขาดการบริหารจัดการแรงงานต่างด้าวอย่างเต็มรูปแบบเท่าที่ควรในด้านมาตรการคัดกรองรวมไปถึงการขึ้นทะเบียนแรงงานต่างด้าว อีกทั้งแรงงานต่างด้าวที่เข้าเมืองมาโดยผิดกฎหมายนั้นถือว่ามีความผิดต่อพระราชบัญญัติคนเข้าเมือง พ.ศ. 2522 และในด้านความมั่นคงของประเทศ ซึ่งตามกฎหมายแรงงาน ต่างด้าวเหล่านี้ไม่มีสิทธิได้รับการคุ้มครองให้ถูกต้องตามสิทธิที่แรงงานต่างด้าวควรจะได้รับ แนวทางการแก้ไขปัญหาการบริหารจัดการแรงงานต่างด้าวในเขตพื้นที่จังหวัดปทุมธานี เพื่อต้องการให้มีการควบคุมและเป็นไปตามมาตรการในการบริการจัดแรงงานต่างด้าวตามนโยบายของรัฐ และเพื่อมิให้เกิดปัญหาในการอนุญาตให้แรงงานต่างด้าวเข้ามาทำงานในพื้นที่จังหวัดปทุมธานีเพิ่มขึ้น เห็นควรกำหนดอาชีพที่แรงงานต่างด้าวสามารถทำได้ในเขตพื้นที่จังหวัดปทุมธานีโดยเฉพาะ ให้องค์กรปกครองส่วนท้องถิ่นมีอำนาจหน้าที่ตรวจสอบสถานประกอบการโดยปฏิบัติตามกฎหมายอย่างเคร่งครัดและปรับปรุงกฎหมายและระเบียบต่าง ๆ ให้มีความสอดคล้องกันในการบริหารจัดการแรงงานต่างด้าวและควรแก้ไขระเบียบและขั้นตอนจัดการในเรื่องต่าง ๆ ที่มีความสลับซับซ้อนเพื่อให้เกิดความชัดเจนและสามารถบังคับใช้ได้ในปัจจุบันและอนาคตต่อไป
DOI: 10.14457/tu.the.2021.75
title: Customer service improvement based on payment behavior electricity bill analysis using data mining approaches

description: Thailand Provincial Electricity Authority (PEA) has 19.36 million residential customers and approximately 73% of them have late or unpaid electricity payments. This causes several problems including reduction of PEA's income. Therefore, we aim to classify customers and to find data mining algorithms that predict classes of electricity payment behaviors of residential customers in order to improve customer service, to design marketing campaigns, to improve customer satisfaction and to reduce the number of late or unpaid payment of electricity bills.In this research, the data set consists of payment behaviors and demographic characteristics of customers, which are gathered from the questionnaire responses of 1,079 walk-in customers. The class prediction process is divided into two main parts: (a) clustering classes of customers by using Gaussian mixture model (GMM), agglomerative hierarchical clustering (AHC), and k-means algorithm. We evaluated those algorithms using the Davies-Bouldin index (DBI), and then choose clustering algorithm that gives the best score as the clustering model. (b) Using data mining algorithms to predict a class of a given customer. We performed experiments that compare five data mining algorithms, which are logistic regression (LR), decision tree (DT), random forest (RF), support vector machine (SVM), and extreme gradient boosted (XGBoost). These algorithms are evaluated with a confusion matrix to select the best algorithm.Our results showed that the random forest algorithm is a good choice for customer class prediction, and it can be used to develop appropriate strategies to increase satisfaction of customers and revenue of PEA. This research is useful for organizations electricity and want to understand the electricity bill payment behavior of their customers. Collectively, it leads to the development of appropriate strategies to increase satisfaction of customers and profit.
DOI: 10.14457/tu.the.2021.76
title: Chaotic oscillators using frequency-dependent negative resistance

description: This thesis presents chaotic oscillators using frequency-dependent negative resistance (FDNR). For the first part, a new algebraically simple five-minimum-term approach to an existing FDNR-based chaotic circuit is presented. An existing piecewise-linear model of a diode is replaced with a new better model using a conventional diode equation. Such a new model results in algebraically simple five minimum terms in three coupled ordinary differential equations (ODEs). Not only are the ODEs reduced from six to five minimum algebraic terms, but also from two nonlinear terms to a single nonlinear term. In particular, a new homoclinic orbit of the circuit is illustrated. For the second part, a unity-gain approach to a simple FDNR-based chaotic jerk oscillator is proposed. Both unity-gain and FDNR techniques are demonstrated together, for the first time, for a simple chaotic jerk circuit. The proposed chaotic jerk circuit consists of only 7 electronic components, only one of which is an active device. The simplicity results in fewer components of both active and passive devices compared to the existing FDNR-based chaotic circuits. Chaotic attractors, bifurcation diagrams, largest Lyapunov exponents and a Kaplan-Yorke dimension are demonstrated. The maximized value of the largest Lyapunov exponent is relatively high at 14.62.
DOI: 10.14457/tu.the.2021.77
title: Detecting traffic incident on Chalong Rat Expressway by using artificial neural network based on simulation data

description: Many researchers have studied traffic incident detection by using different algorithms, and the two most popular methods are Back-Propagation Neural Network (BPNN) or Multi-Layer Perceptron (MLP) and Support Vector Machine (SVM). These two methods always provide excellent results for incident detection. After looking to many algorithms, I am interested in Probabilistic Neural Network (PNN), which is the secure method and works well in classification problems. But PNN is not often used fortraffic incident detection. This study used density, occupancy, speed, traffic flow, and time headway to be input data, which are simulated in traffic modeling software, AIMSUN. Four indicators are being used to evaluate the performance of the model: classification rate, detection rate, false alarm rate, and meantime to detect. I first want to know PNN performance by comparing it with the two popular methods BPNN and SVM in a simple expressway model with an entrance and exit. The result shows that PNN ability is closed to the MLP and SVM with a high classification rate and detection rate and low false alarm rate. Thereafter, an expressway model was used, which refers to Chalongrat Expressway in Bangkok, Thailand. The position and information of all detectors come from the Expressway Authority of Thailand (EXAT). The first result of the expressway model is not good enough. All methods work well in classification, but PNN can provide 87.30 percent of classification rate, and the detection rate is 95 percent with a lot of false alarm rate at 12.74 percent. While MLPand SVM can provide 99.5 percent of the classification rate, but the detection rate is less than 50 and 40 percent, with around 0.1 percent of the false alarm rate for both methods. So the training data was set in different ways to improve the model performance. Finally, the result is desirable, PNN can provide classification rate at97.47 percent, detection rate at 90.09 percent, and false alarm rate at 2.48 percent, while SVM can provide the classification rate at 98.98 percent, detection rate at 84.43 percent, and the false alarm rate at 0.93 percent, and MLP can provide the classification rate at 91.99 percent, detection rate at 84.91 percent, and the false alarm rate at 7.97 percent.
DOI: 10.14457/tu.the.2021.78
title: Development of high thermal crack resisting mass concrete

description: According to the large dimension of mass concrete, it will generally have a problem with the heat generation from cement hydration and the temperature difference between inside and near surface of the concrete that may lead to thermal cracking. Nowadays, many efforts are implemented to minimize thermal cracking potential in mass concrete structures. Existing materials and construction methods have limitations and cannot cope with the requirements, so new solutions with new binder and aggregate systems need to be explored. Supplementary cementitious materials or SCMs provided in concrete i.e., fly ash, limestone powder, etc., have been used widely to reduce the heat generation. SCMs have been reported to improve properties of concrete such as slump and slump loss, compressive strength, and temperature rise. To develop thermal crack resisting mass concrete, the investigation on the binder system and aggregate system should be done. In the case of binder system, the SCMs which are fly ash and limestone powder are used as cement replacing materials. To control the temperature difference in mass concrete, the reliable temperature prediction model is required. There are some existing temperature rise prediction models that have been developed to simulate the temperature rise for mass concrete. However, those proposed models were still not considered for ternary binder i.e., cement containing fly ash and limestone powder. In the case of the aggregate system, the temperature rise of concrete with the maximum size of coarse aggregate (Gmax) equal to 1 inch instead of ¾ inch is investigated. Moreover, the experiments on slump and slump loss, compressive strength, and tensile strain capacity were done for both binder and aggregate system investigations.The study reveals for the investigation on the binder system that higher cement content mixtures show higher compressive strength, tensile strain capacity (TSC), and semi-adiabatic temperature rise. The adiabatic temperature rise prediction model for ternary binder system was done by considering degree of hydration, degree of pozzolanic reaction, total heat generation, free water content, and thermal properties. The proposed adiabatic temperature rise prediction model was then verified and showed reasonable accuracy with laboratory results. For the investigation on the aggregate system, the experimental results show that the mechanical properties which are compressive strength and tensile strain capacity of concrete are improved with the concrete containing maximum size of coarse aggregate equal to 1 inch instead of ¾ inch. Moreover, the maximum temperature rise for concrete was also reduced when Gmax 1 inch was used in the concrete.
DOI: 10.14457/tu.the.2021.79
title: Analysis of settlement of rock embankment with lattice frame reinforcement (LFR) system

description: This study investigates the behavior of the Lattice Frame Reinforcement (LFR) system under rock embankments. The LFR system is used to reduce the rate of rock embankment settlement. The LFR system contains two main components, lattice framed injected mortar polyester tube (LFR mortar tube) and polyester underlying sheet (LFR sheet). Both components are knitted together before the injection of mortar into the tubes. After the mortar was properly set, an embankment was constructed on top of the LFR system. This method significantly reduces vertical pressure on soil under the embankment. It results in lower soil settlement due to less pressure occurring under the embankment.Two experimental embankments with the LFR system were constructed in Samut Sakhon province in Thailand for this study. The measured soil settlements under the embankments have been monitored for 30 months. Tensile tests were performed to understand the material's behavior of the LFR system. This study aims to explain the mechanism of the LFR system by applying Finite Element (FE) simulations and field measurements. The field measurement and analysis results showed that the LFR system could effectively reduce the long-term soil settlement caused by soil consolidation and self-weight of the embankment. FE Analysis shows that LFR mortar tubes behave mainly as tensile members and there is a significant effect of the grid spacing of the LFR mortar tubes on settlement reduction. Injected mortar in the LFR system provides construction stability and supports to keep the LFR tubes in a stretched condition. Mortar has a significant effect on the LFR system due to bond contact initiated during the injection of liquid mortar. Even though the mortar has started damage since the initial stage of the embankment construction, yet damaged mortar provides stiffness enhancement to the LFR tubes. This enhancement tends to increase the stiffness of the overall LFR system. A realistic contact between damaged mortar and LFR tubes is difficult to simulate. Therefore, this study presents a simple method to simulate the stiffness of the LFR mortar tube which considers stiffness of the LFR tube together with the contribution of stiffness of mortar in between cracks which are known as tension stiffening, in the analysis.
DOI: 10.5281/zenodo.6350231
title: Dados de pesquisa - TRABALHOS DE CONCLUSÃO DE CURSO E A PESQUISA NA UNIVERSIDADE_ reflexões a partir do Concurso TCC Abecin

description: Dados coletados para a pesquisa "TRABALHOS DE CONCLUSÃO DE CURSO E A PESQUISA NA UNIVERSIDADE: reflexões a partir do Concurso TCC Abecin" apresentada no IV ERECIN.
DOI: 10.5281/zenodo.6350230
title: Dados de pesquisa - TRABALHOS DE CONCLUSÃO DE CURSO E A PESQUISA NA UNIVERSIDADE_ reflexões a partir do Concurso TCC Abecin

description: Dados coletados para a pesquisa "TRABALHOS DE CONCLUSÃO DE CURSO E A PESQUISA NA UNIVERSIDADE: reflexões a partir do Concurso TCC Abecin" apresentada no IV ERECIN.
DOI: 10.5281/zenodo.6350240
title: Paired blood-brain gene expression data from GTEx (v8)

description: Transcriptomic dataset from the GTEx Project used for training BrainGENIE models
DOI: 10.5281/zenodo.6258521
title: Paired blood-brain gene expression data from GTEx (v8)

description: Transcriptomic dataset from the GTEx Project used for training BrainGENIE models
DOI: 10.25345/c59w09278
title: MassIVE MSV000089052 - Human cardiac valves - aortic and pulmonary, control and disease comparartive proteomic analysis
title: 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890
DOI: 10.34740/kaggle/dsv/3293647
title: Mahanagar Yatayat Dataset
DOI: 10.5517/ccdc.csd.cc2bc01s
title: CCDC 2155524: Experimental Crystal Structure Determination

description: Related Article: Katherine C. Forbes, Eric N. Jacobsen|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bc02t
title: CCDC 2155525: Experimental Crystal Structure Determination

description: Related Article: Katherine C. Forbes, Eric N. Jacobsen|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bc04w
title: CCDC 2155527: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bc05x
title: CCDC 2155528: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bccps
title: CCDC 2155885: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bcfkq
title: CCDC 2155943: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2022|CSD Communication|||
DOI: 10.6084/m9.figshare.19232820
title: Tabla 5. Análisis de mediación

description: El rol mediador del apoyo organizacional percibido entre las nuevas formas de trabajo y el compromiso de los docentes universitarios. Tabla 5. Análisis de mediación
DOI: 10.6084/m9.figshare.19232820.v1
title: Tabla 5. Análisis de mediación

description: El rol mediador del apoyo organizacional percibido entre las nuevas formas de trabajo y el compromiso de los docentes universitarios. Tabla 5. Análisis de mediación
DOI: 10.6084/m9.figshare.19350698
title: Data for CHD chromatin remodeling protein diversification yields novel clades and domains absent in classic model organisms

description: A comprehensive phylogenetic analysis of 8,042 CHD homologs from 1,894 species to create a model for the evolution of this family across eukaryotes with a particular focus on the timing of duplications that gave rise to the diverse copies observed in plants, animals and fungi. Dataset includes fasta, alignments, trees files, and iTOL metadata files for tree visualization. Dataset also include hmm files for all custom PFAM and IUPRED-based domains present in CHD homologs.
DOI: 10.5281/zenodo.6350307
title: benchmarking data for cell deconvolution

description: benchmarking data for cell deconvolution
DOI: 10.5281/zenodo.6350306
title: benchmarking data for cell deconvolution

description: benchmarking data for cell deconvolution
DOI: 10.6084/m9.figshare.19351982
title: Oxygen Saturation in Body.csv

description: 1. Lebel "1" = Low Oxygen (affect brain)<br>2. Lebel "2" = Low Oxygen Level<br>3. Lebel "3" = Concering Oxygen Level <br>4. Lebel "4" = Normal Oxygen Level
DOI: 10.34740/kaggle/dsv/3293703
title: Michelin Guide Restaurants 2021
DOI: 10.6084/m9.figshare.19232763
title: Tabla 4. Modelo de regresión 2

description: El rol mediador del apoyo organizacional percibido entre las nuevas formas de trabajo y el compromiso de los docentes universitarios. Tabla 4. Modelo de regresión 2
DOI: 10.6084/m9.figshare.19232763.v2
title: Tabla 4. Modelo de regresión 2

description: El rol mediador del apoyo organizacional percibido entre las nuevas formas de trabajo y el compromiso de los docentes universitarios. Tabla 4. Modelo de regresión 2
DOI: 10.6084/m9.figshare.19232763.v1
title: Tabla 4. Modelo de regresión 2

description: El rol mediador del apoyo organizacional percibido entre las nuevas formas de trabajo y el compromiso de los docentes universitarios. Tabla 4. Modelo de regresión 2
DOI: 10.6084/m9.figshare.19232724
title: Tabla 3. Modelo de regresión 1

description: El rol mediador del apoyo organizacional percibido entre las nuevas formas de trabajo y el compromiso de los docentes universitarios. Tabla 3. Modelo de regresión 1
DOI: 10.6084/m9.figshare.19232724.v2
title: Tabla 3. Modelo de regresión 1

description: El rol mediador del apoyo organizacional percibido entre las nuevas formas de trabajo y el compromiso de los docentes universitarios. Tabla 3. Modelo de regresión 1
DOI: 10.6084/m9.figshare.19232724.v1
title: Tabla 3. Modelo de regresión 1

description: El rol mediador del apoyo organizacional percibido entre las nuevas formas de trabajo y el compromiso de los docentes universitarios. Tabla 3. Modelo de regresión 1
DOI: 10.6084/m9.figshare.19232682
title: Tabla 2. Medias, desviaciones estándar y correlaciones de las variables del estudio

description: El rol mediador del apoyo organizacional percibido entre las nuevas formas de trabajo y el compromiso de los docentes universitarios. Tabla 2. Medias, desviaciones estándar y correlaciones de las variables del estudio