bluuebunny/crossref_metadata_2025_split huggingface dataset:
การศึกษาความเป็นไปได้เบื้องต้นการลงทุนการก่อสร้างโรงไฟฟ้าชีวมวลโดยใช้วัตถุดิบจากเศษไม้
Authors:   , วรรณเศวต รัฐศาสตร์ 
Published: June 2023

งานวิจัยนี้ทำการศึกษาการแปรรูปวัตถุดิบไม้ยูคาลิปตัสส่งขายให้กับการผลิตแผ่นกระดาษในพื้นที่ ซึ่งในปัจจุบันมีกำลังการผลิตการแปรรูปอยู่ในปริมาณ 500 ถึง 600 ตันต่อวัน โดยในแต่ละวันจะมีเกษตรกรนำวัตถุดิบมาขายให้ในปริมาณ 400 ถึง 500 ตันต่อวัน โดยที่ปริมาณของเสียที่ได้จากกระบวนการผลิตมีอยู่ในปริมาณ 20 เปอร์เซ็นต์ต่อวัน ซึ่งทางโรงงานได้มีการบริหารจัดการปริมาณวัตถุดิบสะสมโดยเฉลี่ยอยู่ที่ 30 ถึง 50 ตันต่อวัน ด้วยเหตุนี้ผู้วิจัยจึงมีความสนใจในการศึกษาและต้องการสร้างมูลค่าโดยการแปรรูปของเสียจากการผลิต โดยที่วัตถุดิบนั้นได้จากของเสียทางกระบวนการผลิตมาต่อยอดทางธุรกิจลงทุนในด้านพลังงาน แต่มูลค่าการลงทุนในโครงการดังกล่าว มีเงินลงทุนที่สูง ดังนั้น งานวิจัยนี้ มุ่งเน้นศึกษาในด้านเศรษฐศาสตร์การลงทุนในโครงการดังกล่าว

จากปัญหาดังกล่าวเป็นที่มาของมูลเหตุจูงใจการศึกษาในสารนิพนธ์ฉบับนี้ ในการศึกษาปัญหาประเภทเศษของเสียจากอุตสาหกรรมเพื่อดำเนินการลดมวลอุตสาหกรรม ผลพลอยได้คือนำพลังงานความร้อนที่เกิดจากกระบวนการเผามาผลิตกระแสไฟฟ้า สารนิพนธ์นี้ เลือกศึกษาเทคโนโลยีระบบกังหันไอน้ำที่มีความสามารถเผาใหม่ได้สมบูรณ์มาเป็นแนวทางในการเพิ่มมูลค่าการลงทุนในโครงการดังกล่าว ซึ่งมีเงินลงทุนที่สูง ดังนั้น สารนิพนธ์นี้ มุ่งเน้นศึกษาปัจจัยของความเสี่ยงในการลงทุนในโครงการที่เหมาะสมกับระบบเทคโนโลยีดังกล่าวต่อไป

จากผลการศึกษาจากการประมาณต้นทุนและผลตอบแทนของโครงการโดยงบกระแสเงินสดนั้น สามารถประเมินความคุ้มค่าของโครงการ และทุกหลักเกณฑ์ได้ทำการคิดลดให้กระแสเงินสดเป็นมูลค่าปัจจุบัน โดยกำหนดอัตราส่วนลดที่เหมาะสม และสอดคล้องกับความเสี่ยงของการลงทุนด้วยต้นทุนเงินทุนเฉลี่ยถ่วงน้ำหนักที่ร้อยละ 10.38 ซึ่งสามารถคำนวณเกณฑ์การตัดสินใจทางด้านการเงินได้คือ มูลค่าปัจจุบันสุทธิของโครงการ (NPV) มีค่าเท่ากับ 204,687,625 บาท อัตราผลตอบแทนภายในโครงการ (IRR) มีค่าเท่ากับร้อยละ 16.71% และสำหรับการวิเคราะห์ความไว ถ้าราคาวัตถุดิบมีการเปลี่ยนแปลงร้อยละ 15 โดยพิจารณาจากราคาซื้อวัตถุดิบในราคา 800 บาทต่อตัน โดยมีผลการตัดสินใจเมื่อนำมาพิจารณาในการตัดสินใจลงทุน พบว่า ค่า NPV ที่ได้มีค่ามากกว่าศูนย์ค่า และ IRR มีค่ามากกว่า WACC เพราะฉะนั้นการลงทุนในโครงการสร้างโรงไฟฟ้าชีวมวลขนาดไม่เกิน 10 เมกะวัตต์โดยใช้ไม้จากต้นยูคาลิปตัส เป็นเชื้อเพลิงหลักจึงมีความคุ้มค่าในการลงทุน
The presence of style drift and its effects in Thailand’s equity mutual funds
Authors:   , Lertwattanakiat Nuttha 
Published: June 2023

Active equity mutual funds have become a widely popular investment for investors with high risk tolerance due to potentially getting a higher return with the benefit of diversification and professional management. Investors can make decision on selecting funds by looking at “style”. Style is viewed in two dimensions; size and value-growth orientation at stock level. It helps investors to see how fund manager select stocks and the overall style of stock holding for a whole portfolio. Investors can take this factor into considerations to build portfolio to align with their strategy. But what will happen if the style is changed after purchasing. The interesting question is whether style drift create value for investor.

This study illustrates the existence of investment style drift in active equity mutual funds in Thailand by applying style volatility measurement based on the nine-style of Morningstar’s Style Box. The findings provide evidence of the determinants that drive a shift in investment style and the consequences of the style drift on the consistency of risk-adjusted performance. The more intense of style drift tends to happen in fund with higher fund flow, small size, short establishment, mid/small-cap, and/or managed by AMCs under niche banks or non-banks. However, style volatility has a negative relation with risk-adjusted performance in term of Sharpe ratio. Funds with high style drift tends to perform worse than funds with consistent strategy. While funds with the shifting style box over the quarters tends to generate a superior return on actual basis but the return do not persist on risk-adjusted basis over quarter.

Investors should be aware of investment style drifting as it affects to risk-adjusted return. It is possible that investor would be exposed to unexpected volatility of return and could not be compensated by a higher return. Investors can expect that fund with a higher fund flow, small size and shorter duration of establishment might have high volatility in changing investment style, leading to getting an inferior risk-adjusted performance. Even outcomes of change style over quarter would drive a superior return on actual basis, it is not worth investing in when trading off with risk.
IMPACT OF FEEDS CONTAINING OPTIFEED®, VÊO® PREMIUM, AND OLEOBIOTEC® ON THE LIPID PEROXIDATION OF MALE BROILERS UNDER HEAT STRESS
Authors: Al-Bazy F. I. , Abdulateef S. M. , Sulimn B. F. 
Published: June 2023

The present study was conducted to investigate the effect of adding various levels of Optifeed®, VêO® premium and Oleobiotec® to the diets as appetite stimulants in the production Performance of broiler males under heat stress conditions. The experiment was done for 42 days for the period from 30 August 2018 to 11 of October 2018 at the Poultry Research Station of the Livestock Research Department / Agricultural Research Department / Ministry of Agriculture (Baghdad - Abu Ghraib). In this study, 270 - one-day broiler males (Ross 308) were reared with a mean body weight of 37 g/chick, distributed randomly on 18 pens with dimensions of 2 x 3 m (length x width). The experimental treatments involved six treatments with three replicates for each treatment (per replicate 15 chicks). The treatments were included T1: basal diet as a control with no additions, T2: basal diet + 500 g/ton of Optifeed®, T3: basal diet + 250 g/ton of VêO® premium, T4: basal diet + 250 g/ton of Oleobiotec®, T5: basal diet + 250 g of Optifeed® + 125 g of VêO® premium + 125 g of oleobiotec® /ton of feed, T6: basal diet + 500 g Optifeed® + 250 g VêO® premium + 250 g Oleobiotec® g/ton of feed. The obtained results showed that a significant decrease in all experimental trials of Malondialdehyde (MDA) for broiler liver tissue compared to control treatment. Treatment (T6) recorded the lowest concentration of dehydrode (MDA) compared to other treatments.
Avaliação de impactos ambientais do desastre de Brumadinho-MG pela proposição de valores de referência
Authors: Gomes Fernanda Bento Rosa , Fagundes Pedro Barreiros Silva de Souza , Castro Samuel Rodrigues , Ribeiro Celso Bandeira de Melo 
Published: June 2023

Mananciais superficiais são caracterizados pela variabilidade em seus aspectos físico-químicos e dinâmica fortemente influenciada pela atividade antrópica. Nesse sentido, há o crescente interesse no estabelecimento de valores de referência (VR) de parâmetros de qualidade da água, como ferramenta de avaliação de alterações qualitativas decorrentes da interferência humana. O presente estudo propôs VR para parâmetros físico-químicos do rio Paraopeba, por meio de uma abordagem metodológica estatisticamente robusta, utilizando-se dados de monitoramento de 2008 a 2018. Objetivou-se avaliar a magnitude dos impactos causados pelo rompimento da Barragem B1, em 2019, a partir da análise comparativa entre os VR estabelecidos e dados pós-rompimento, bem como por análises gráficas, estatísticas e temporais, a 95% de confiança. Foram estimados os VR de 0,26 mg.L-1 para ferro dissolvido, 0,17 mg.L-1 para manganês total e 39,7 UNT para turbidez, indicando a ocorrência expressiva de ferro e manganês na geoquímica natural da região. Após o desastre, foram reportados elevados percentuais de dados acima dos VR propostos e dos valores máximos estabelecidos nas legislações (superiores a 74%). Evidenciaram-se a tendência temporal de decréscimo da turbidez e diferenças estatisticamente significativas nas concentrações de manganês total e turbidez na estação de monitoramento imediatamente à jusante do rompimento comparativamente às demais estações avaliadas, sinalizando a sedimentabilidade e deposição do rejeito na calha do rio.
Keywords: Mining, Paraopeba, basin, Tailings Dam, Water quality

ABSTRACT
Surface waters are described byphysicochemicalvariability and dynamics strongly affected by anthropic activity. In this respect, the establishment of water quality reference values(RV)is a trend tool for assessing qualitative changes from human interference. RVfor physicochemical parameters of Paraopeba river were proposedthrougha statistically robust methodological approach, based on monitoring data from 2008 to 2018.The magnitude of the impacts of B1 tailings dam in January 2019 was assessed by comparingtheproposedRVand post-disruption monitoring data, as well by graphical, statistic, and trend analysis, at 95% confidence level. RVof 0,26 mg.L-1for dissolved iron, 0,17 mg.L-1for total manganese, and 39,7 UNT for turbidity were estimated, suggesting an expressive natural occurrence of iron and manganese in water.After the disaster, high percentages of data above the VR and the maximum values set up in the legislations were presented (higher than 74%). A turbidity decrease trend and statistically significant differences in total manganese and turbidity concentrations at the monitoring station immediately downstream the rupture compared to the other evaluated stations were observed, indicating the tailing sedimentability and deposition in the river trough.
Duas décadas de monitoramento da qualidade da água do rio Piracicaba, Estado de Minas Gerais
Authors: Nascimento Thiago Ribeiro da Silva , Baumgratz Sônia Santos , Marques Paulo Antonio Moreira 
Published: June 2023

No médio-baixo curso do rio Piracicaba (MG), afluente do rio Doce, na região Sudeste do país, está instalada a Usina Hidrelétrica Guilman Amorim (140MW). Entre as atividades da gestão ambiental da usina, tem sido realizado o monitoramento da qualidade da água do rio Piracicaba desde 1995, antes de se iniciar as obras de sua construção. Neste estudo, foram selecionados dados de sete parâmetros monitorados ao longo de um período de 20 anos (1995-2015). Os dados foram avaliados por meio de estatísticas descritivas e testes não paramétricos para detecção de tendências temporais. Os resultados mostraram os pontos onde ocorrem as principais alterações da qualidade da água e as tendências temporais revelaram intensificação da poluição por despejos orgânicos e por fontes difusas na bacia hidrográfica do rio Piracicaba. O estudo concluído reforça a importância da estatística para acompanhamento dos resultados dos programas de monitoramento ambiental de longo prazo.
Keywords: Water quality, Hydroelectric reservoir, Monitoring, Trend analysis, Piracicaba river

Abstract
The monitoring of water quality in stretches of rivers influenced by hydroelectric plants is critical to water resources management. Despite the existence of many studies in this area, the publicly available papers usually employ data collected in few monitoring campaigns, while the analysis of long series is still underexplored. In the medium course of the Piracicaba River, a tributary of the Doce River, in Brazil’s Southeast, is installed the Guilman Amorim Hydropower Plant (140MW). Among the hydropower plant’s environmental management activities, the monitoring of Piracicaba River water quality has been carried out since 1995, before construction work began. In this study, data were selected from seven parameters monitored over a period of 20 years (1995-2015). Data were evaluated using descriptive statisticsand non-parametric tests to detect temporal trends. Results showed that the main changes in water quality occur at the reduced flow stretch, which is influenced by the reservoir and the tributaries that flow into this river’s section. Temporal trends revealed intensification of pollution by organic discharges and by diffuse sources in the Piracicaba River basin. The work reinforces the importance of statistics for assessing the results of long-term environmental monitoringprograms.
Uso da análise multicritério baseada no método híbrido AHP/TOPSIS para implantação de intervenções de programas hidroambientais
Authors: Pereira Alex Cardoso , Rezende Bruno Augusto de , Alves Fabiano Henrique da Silva , Marques André Luís de Paula , Silva Luciana Figueiredo , Feitoza Vítor Soares , Rocha Héverton Ferreira 
Published: June 2023

O estudo visou o desenvolvimento de um modelo de decisão multicritério para hierarquizar os imóveis rurais comtemplados pela Iniciativa RIO VIVO da Bacia Hidrográfica do Rio Doce. Foi desenvolvido um modelo hídrico composto pelas ferramentas Analytic Hierarchy Process (AHP) – utilizada para determinação dos pesos dos critérios; e Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) – utilizada para a hierarquização dos imóveis rurais. O modelo foi aplicado na hierarquização de 52 imóveis rurais de uma microbacia hidrográfica do município de Mariana. Foram selecionados 12 critérios para hierarquização, que comtemplaram os programas de proteção de nascentes (P52) e expansão do saneamento rural (P42). O painel para determinação dos pesos dos critérios foi realizado com os técnicos envolvidos com a elaboração da Iniciativa RIO VIVO, sendo que a taxa de consistência da matriz de julgamento foi de 4,0% e o grau de consenso do grupo foi de 80,9%. Os critérios Quantidade de nascentes e Localização na microbacia foram os que obtiveram a maior ponderação no painel. Os imóveis rurais localizados nos terços alto e médio obtiveram as primeiras colocações da hierarquização, sendo esses os prioritários na implantação das intervenções. O modelo desenvolvido promove uma adequada implantação dos recursos oriundos da cobrança do uso da água, auxiliando os gestores na tomada de decisão, uma vez que prioriza os imóveis rurais, otimiza a logística e reduz os custos de implantação das intervenções hidroambientais, de acordo com as características dos locais de implantação.
Impact of selected risk factors on motor performance in the third month of life and motor development in the ninth month
Authors: Gajewska Ewa , Moczko Jerzy , Naczk Mariusz , Naczk Alicja , Sobieska Magdalena 
Published: June 2023

Background
Proper motor development can be influenced by a range of risk factors. The resulting motor performance can be assessed through quantitative and qualitative analysis of posture and movement patterns.

Methods
This study was designed as the cohort follow-up of the motor assessment and aimed to demonstrate, in a mathematical way, the impact of particular risk factors on elements of motor performance in the 3rd month and the final motor performance in the 9th month of life. Four hundred nineteen children were assessed (236 male and 183 female), including 129 born preterm. Each child aged 3 month underwent a physiotherapeutic assessment of the quantitative and qualitative development, in the prone and supine positions. The neurologist examined each child aged 9 month, referring to the Denver Development Screening Test II and assessing reflexes, muscle tone and symmetry. The following risk factors were analyzed after the neurological consultation: condition at birth (5th min Apgar score), week of gestation at birth, intraventricular hemorrhage, respiratory distress syndrome, and the incidence of intrauterine hypotrophy and hyperbilirubinemia determined based on medical records.

Results
A combination of several risk factors affected motor development stronger than any one of them solely, with Apgar score, hyperbilirubinemia, and intraventricular hemorrhage exhibiting the most significant impact.

Conclusions
Premature birth on its own did not cause a substantial delay in motor development. Nonetheless, its co-occurrence with other risk factors, namely intraventricular hemorrhage, respiratory distress syndrome, and hyperbilirubinemia, notably worsened motor development prognosis. Moreover, improper position of the vertebral column, scapulae, shoulders, and pelvis in the third month of life may predict disturbances in further motor development.
Uniform Li‐deposition induced by Ni‐catalyzing graphitization of natural carbon materials in lithium metal batteries
Authors: Han Junshan , Zhang Lijing , Duan Liqiang , Liu Lvcheng , Xiao Xunwen , Xin Xing , Li Xing 
Published: June 2023

AbstractLithium metal batteries are known as the most prospecting recyclable accumulation system owing to the high specific capacity of 3860 mAh g−1. Nevertheless, Li‐dendrites formed by the charge‐discharge process would lead to poor performances and severe safety problems. In this work, we proposed a new silk‐film with a composite network that was full of the Ni‐containing functionalized nanoparticles to induce the uniform Li‐deposition and prevent the wanton growth of lithium dendrite. As a result, the as‐designed flexible fiber materials (Ni‐silks) were successfully prepared by utilizing degradable silks as the substrates and Ni‐particles as the catalyzer for graphitization of carbon materials. The Ni‐silk‐Li (NSL) as anodes were constructed by Ni‐silk and Li metals, which exhibited the long‐term cycle of 800 h and high coulombic efficiency of 98.35% for the half cells. In addition, the NSL anodes also showed outstanding electrochemical performances in full cells using LiFePO4 as the cathode with an outstanding specific capacity of 155 mAh g−1. To further explore the working mechanism of the NSL electrode, Density functional theory (DFT) computations were analyzed. Our findings provide a new idea for evoking uniform Li‐nucleation by introducing graphitization of flexible Ni‐silks, which is not to be ignored for reducing Li‐dendrite formation.
A case study of potato germplasm enhancement using distant late blight resistant wild relatives
Authors: Ordoñez Benny , Aponte Mariela , Lindqvist‐Kreuze Hannele , Bonierbale Merideth 
Published: June 2023

AbstractImproving potato late blight (LB) resistance is essential for ensuring food security, particularly using wild relatives endemic to Phytophthora infestans‐prone regions. However, reproductive barriers can impede the transfer from potato wild relatives (PWR) to the cultivated genepool. This study sought to incorporate potentially novel LB resistance from wild diploid accessions of Series Piurana (Solanum chiquidenum, Solanum paucissectum, and Solanum piurae), Tuberosa (Solanum cajamarquense), and Megistracroloba (Solanum sogarandinum) into tetraploid potato. Trough rescue pollination, 699 diploid interspecific hybrids were obtained, of which 385 displayed LB resistance in two endemic environments. Based on a comprehensive evaluation, including assessing 2n pollen production, 14 diploid interspecific hybrids were selected to continue the introgression process. These pre‐bred stocks were then used in interploidy (4x‐2x) crosses to incorporate their LB resistance in the cultivated tetraploid background. Assessment of 1978 genotypes resulting from interploidy crosses under endemic disease pressure yielded 717 hybrids with moderate to high levels of LB resistance. Evaluation of pollen viability and ploidy revealed moderate fertility and predominantly tetraploid genotypes. Reassessment of LB resistance on this new subset of hybrids further identified 214 genotypes with sustained resistance. Among them, 12 tetraploid hybrids with low glycoalkaloid content, favorable agronomic, and post‐harvest attributes were identified as crossing‐friendly stocks. Notably, 11 of these hybrids were derived from S. cajamarquense and one from S. sogarandinum. These promising 4x hybrids are now primed to be incorporated into potato breeding programs.
Design of blockchain-based applications using model-driven engineering and low-code/no-code platforms: a structured literature review
Authors: Curty Simon , Härer Felix , Fill Hans-Georg 
Published: June 2023

AbstractThe creation of blockchain-based software applications requires today considerable technical knowledge, particularly in software design and programming. This is regarded as a major barrier in adopting this technology in business and making it accessible to a wider audience. As a solution, low-code and no-code approaches have been proposed that require only little or no programming knowledge for creating full-fledged software applications. In this paper we extend a review of academic approaches from the discipline of model-driven engineering as well as industrial low-code and no-code development platforms for blockchains. This includes a content-based, computational analysis of relevant academic papers and the derivation of major topics. In addition, the topics were manually evaluated and refined. Based on these analyses we discuss the spectrum of approaches in this field and derive opportunities for further research.
Deep Learning for Automatic Extraction of Water Bodies Using Satellite Imagery
Authors: Gharbia Reham 
Published: June 2023

AbstractThe study introduces an automated approach for extracting water bodies from satellite images using the Faster R-CNN algorithm. The approach was tested on two datasets consisting of water body images collected from Sentinel-2 and Landsat-8 (OLI) satellite images, totaling over 3500 images. The results showed that the proposed approach achieved an accuracy of 98.7% and 96.1% for the two datasets, respectively. This is significantly higher than the accuracy achieved by the convolutional neural network (CNN) approach, which achieved 96% and 80% for the two datasets, respectively. These findings highlight the effectiveness of the proposed approach in accurately mapping water bodies from satellite imagery. Additionally, the Sentinel-2 dataset performed better than the Landsat dataset in both the Faster R-CNN and CNN approaches for water body extraction.
Do coopetition and cohesion of business groups stimulate their innovation performance?
Authors: Mierzejewska Wioletta , Aluchna Maria , Tomczyk Emilia 
Published: June 2023

AbstractInnovation performance is a widely studied issue in management literature. However, despite an increasing number of innovation studies in the context of stand-alone firms, there is still little empirical evidence on business group innovation performance and its driving forces. Our study attempts to shed light on the relationship between coopetition and cohesion of a business group and its innovation performance. We use a Poisson regression model to analyze a sample of 118 business groups. We have found that the type of coopetition as well as the degree of cohesion of a business group is positively related to innovation performance measured by the number of patents and the number of trademarks.
Travel Time Prediction in Real time for GPS Taxi Data Streams and its Applications to Travel Safety
Authors: Putatunda Sayan , Laha Arnab Kumar 
Published: June 2023

AbstractThe analysis of data streams offers a great opportunity for development of new methodologies and applications in the area of Intelligent Transportation Systems. In this paper, we propose two new incremental learning approaches for the travel time prediction problem for taxi GPS data streams in different scenarios and compare the same with three other existing methods. An extensive performance evaluation using four real life datasets indicate that when the training data size is small the Support Vector Regression method is the best choice considering both prediction accuracy and total computation time. However when the training data size is large to moderate then the Randomized K-Nearest Neighbor Regression with Spherical Distance (RKNNRSD) and the Incremental Polynomial Regression become the methods of choice. When continuous prediction of remaining travel time along the trajectory of a trip is considered we find that the RKNNRSD is the method of choice. A Real-time Speeding Alert System (RSAS) and a Driver Suspected Speeding Scorecard (DSSS) using the RKNNRSD method are proposed which have great potential for improving travel safety.