bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gelam Wood (Melaleuca cajuputi Powell) as a Substructure Construction Material
Authors: Ma’ruf Muhammad Afief , Arifin Yudi Firmanul , Asy’ari Mufidah , Rusdiansyah  
Published: June 2023

Abstract

Gelam wood (Melaleuca cajuputi Powell) which is widely used for substructure construction materials in South Kalimantan is classified into strong class II and durable wood class III. This study aims to provide more detailed information regarding what forms of use of gelam wood as substructure construction material and why gelam wood was chosen for it. This information will later be able to support the preparation of future utilization plans for the use of gelam wood considering that currently gelam wood is starting to decrease in availability. The method to identified the use of gelam wood as a substructure construction material is field survey method combine with other references. Gelam wood with a large diameter of 10-12 cm and a length of 4 m is generally used as a construction foundation for 1-storey building with an ultimate bearing capacity of 729,25 kg for single pile foundation. In terms of cost, the foundation with gelam wood material is cheaper than the mini-pile concrete foundation for the construction of the same building. The large size of gelam wood is also used as sheet pile or retaining wall with an average flexural strength of 100,13 MPa. The small size of gelam wood is generally used as wooden scaffolding where the cost of gelam wood scaffolding is 26.85% cheaper than iron scaffolding in the rental price, and 15 times the cost of the iron scaffold in the purchase price.
Roof Runoff Analysis: A Case for Cebu Technological University - Main Campus
Authors: Oraya A F A , Alburo B V , Cauban M K S , Canene J B 
Published: June 2023

Abstract
The volume of runoff varies depending on the surface on which it flows. Cebu Technological University - Main Campus, which is situated in Cebu City at the intersection of M.J. Cuenco Avenue and R. Palma Street, has been selected as location for the investigation of the effect of roofing properties on roof runoff. The average runoff coefficient was calculated under various rainfall scenarios. These were also related to the roofing structure, design patterns and materials whether these are sloping roofs or flat roofs. This investigation aims to enhance efficiency in rainwater harvesting systems. The calculated values of runoff coefficient in various roofs in the campus range from 0.78 to 0.92. A comparative analysis was used to differentiate the gap between the calculated runoff coefficient and the established values from literature. The recommended size for the rainwater tanks were calculated by taking into consideration the amount of volume that can be collected in the roofs in the campus.
Study of Potential Development of Rainfed Land in Maluka Baulin Swamp Irrigation Area
Authors: Rahmadi Abdul Holis , Novitasari Novitasari , Fitriati Ulfa 
Published: June 2023

Abstract
Agricultural land in South Borneo has high rice productivity. The supporting factors for rice productivity are irrigation areas, one of which is the Maluka Baulin Swamp Irrigation Area (DIR). It is located in Kurau, Tanah Laut Regency. It has an area of 421 ha (Decree of the Minister PUPR of the Republic Indonesia) now to 286 ha (land function and administrative other villages) with use as agricultural land. It so far has a low average rice production and cropping index of one crop in one year. The purpose of this study was to analyze the availability and demand of water well as the provision of irrigation water based on the water balance for the development of cropping patterns and schedules. This study collects primary and secondary data. Preliminary data are location survey, instantaneous discharge, and questionnaire. Secondary data are climatological data, maps of land types, and data on the discharge Tabanio-Bajuin River. The water requirement is obtained from the calculation of land preparation and consumptive use of water for plants. Water availability is obtained by analyzing rainfall, calculating evapotranspiration, calibrating F.J. Mock Model discharge, and calculating mainstay discharge. The temporary result obtained the water balance is land area is obtained with cropping pattern and schedule that increases to paddy-paddy-palawija, which was previously only paddy-paddy. Then, agricultural production, especially rice and secondary crops, will directly grow.
Assessment of physical and chemical characteristics of bio-organic compost from seafood sludge
Authors: Phuong Nguyen Thi , Nguyen Ho 
Published: June 2023

Abstract
Seafood sludge (SS) was one of the solid wastes generated during the wastewater treatment processes of seafood processing factories, and it increasingly discharged to the environment. This study aimed to reuse sludge from seafood wastewater treatment plants for producing microbial-organic fertilizer to handle environmental pollution. SS samples were collected at seafood factories in Dong Thap province. Other materials, including sugarcane filter cake (SC) and bagasse (B) were collected in Hau Giang province. Five treatments with three replications for each consisted of a mixture ratio of SS, SC and B at (1) 10-60-30, respectively; (2) 10 + 70 + 20; (3) 20 + 60 + 20; (4) 10 + 70 + 20 and (5) 20 + 80 + 0. All composting mixtures were analyzed for temperature, moisture content, pH, electrical conductivity, volume reduction, organic carbon (OC), total nitrogen (TN), total phosphorus (TP) and total potassium (TK) at stages of 0 and 49 days after incubation. Results after 49 incubation days showed that the pH value of both kinds of sludge was slightly acid to neutral (6-7). Electrical conductivity values were suitable from 0.74 to 1.57 mS/cm. The weight loss of incubated samples was 35.87-77.56% after a 49-day incubation. Organic carbon contents were at a high level (over 30% C). After 49 incubation days, the TN, TP, and TK content were high at 2.01-3.03%N; 6.71-9.95%P2O5; and 2.62-3.15%K2O, respectively. The C/N ratio ranged from 12.15 to 19.1. The optimal ratio was mixed with 20% seafood sludge and 80% sugarcane filter cake. The period of 49 days was seen as the suitable incubation time for composting maturity and stability.
Effect of Nutrition on Microalgal Growth and Pollutant Decrease in Contaminated River
Authors: Nisa C , Ramadani A P , Dewangi D K , Nugroho A , Fauzana N A , Mardina P , Putra M D 
Published: June 2023

Abstract
Microalgae have the ability to remove nutrients, heavy metals, and pollutants in the form of organic substances. Thus, it is expected that the use of microalgae can reduce pollutant levels in contaminated rivers. This study aims to reduce the concentration of pollutants in the Martapura river contaminated with industrial waste by utilizing microalgae. The maximum microalgal growth was obtained on day 4 with a nutritional variation of 5.25 mL as the concentration was 0.0115 g/L. The decrease in the level of pollutants occurred during the treatment with a decrease in sulfate levels from 18.9 mg/L to 11 mg/L. The amount of cadmium decreased from 0.0014 mg/L to an undetectable point. On the other hand, the iron content dropped quite drastically from 1.8 mg /L to 0.8 mg/L.
Risk Analysis of Coal Hauling Road Upgrade Project at PT. Borneo Indobara to Support Sustainable Development
Authors: Koirin  , Prasetia Irfan 
Published: June 2023

Abstract
This study aims to analyze the risks during the construction implementation phase and to propose mitigation strategies. This study was framed by case study design with the project for improving the coal haul road of PT. Borneo Indobara as the chosen case. This project still adheres to support sustainable development concept where the new design can minimize dust pollution and air pollution. Data were collected through interviews, brainstorming, similar previous studies, and questionnaires. All risk variables in the questionnaire were tested for validity and reliability, and then descriptive analysis was carried out. The Godfrey method analysis matrix was used to determine the dominant risks. Identification of valid risk variables found as many as 41 risks divided into 9 sources. Based on the analysis results, 14 dominant risks regarding the impact of time delays and 8 dominant risks regarding the impact of cost losses were found. Based on the results of the study 8 risk mitigation strategies are recommended: 1) Implementation of Management of change; 2) Determination of the implementation method that best suits the needs and conditions in the field; 3) Strengthened supply chain management; 4) Application of construction technology; 5) Strengthened maintenance management of materials and equipment; 6) Tightened supervision and monitoring of implementation activities; 7) Improved coordination between project owners and implementation contractors including stakeholders; 8) Strengthened human resources management and its implementation.
Black Spot Identification and Road Accident Prediction Model on Cebu South Coastal Road (CSCR)
Authors: Sisbreño A P , Sumilhig J A , Venci T J C , Canseco-Tuñacao H A R , Cavero D B M 
Published: June 2023

Abstract
Millions of people die in road accidents yearly, causing significant damage to the economy and humanity. The main focus of the study is to analyze road accidents through Black Spot Identification and to establish a Prediction Model on the Cebu South Coastal Road (CSCR)-N840 Highway. The data gathered from government agencies were digitized using SPSS and MS Excel. The study revealed that the year 2018 has the highest number of accident cases with 555 (46.52%) and the lowest severity ratio of 0.41. In contrast, 2019 has the lowest frequency of accident cases with 159 (13.33%) and a severity ratio of 0.72. Through the APW system, the CSCR-N840 Highway’s top black spot locations were at 2.6 km, 1.2 km, 2.3 km, 0.9 km,2.2 km, 5.3 km, 4.6 km, 4.7 km, 3.7 km, 5.9 km, 7.6 km, 7.7 km, 8.2 km, 8.5 km, 6.5 km, 10.2km, 11.4 km, 9.4 km, 12.1 km, and 12.0 km. Also, the researchers presented a heat mapping through QGIS for visual analysis, where severe road traffic accidents usually occur on the Talisay side of CSCR N840 Highway due to 13 junctions, 7 intersections, and 6 curvatures. Lastly, in the developed regression model the accident rate decreases gradually with an increase in the traffic volume. Also, Poisson prediction model, as the accident probability increases, the accident rate may either increase or slowly decrease.
Viability of Napier Grass Ash as Partial Substitute of Cement in CHB
Authors: Canseco-Tuñacao H A R , Nogra J M A , Rosell M F M , Alquilita J C L 
Published: June 2023

Abstract
The effects on the physical and mechanical properties of Napier grass ash (NGA) as substitute for ordinary Portland cement (OPC) on concrete hollow block (CHB) were investigated. Mix ratio of 1:2:4 with water-cement ratio of 0.60, and 10%, 15%, and 20% NGA replacements were adapted. Experimental procedures and testing conformed to American Society of Testing and Materials (ASTM) standards. Slump values, in comparison to control, showed a decline of 16.67%, 25%, and 58.33% for 10%, 15%, and 20% NGA replacements, respectively, which correlates to water absorption result. The denser the CHB, the lower the moisture content. Compressive strength results revealed that all NGA substitutes performed better than the control sample. NGA-20% had the highest compressive strength of 4.2 MPa (individual unit) and 3.9 MPa (average of 3 units) after 28 days of curing. Overall, NGA replacement was not viable for load-bearing but ideal for nonload-bearing CHB using the mix design.
The Grow Impact of Electrical Stimulation and Grow Lights on Lettuce Plant (Lactuca Sativa) in Hydroponics System
Authors: F. Batayola Ferdinand , Melsedec O. Narvios Wilen , Mendez Jasper C. , Casinto Ralph M. , Villegas Carl Jade 
Published: June 2023

Abstract
In today’s agricultural production, hydroponics has become one of the most popular approaches to producing vegetables in a limited space. With its technological advancement, the concept of farming is well adapted. In this study, the researchers develop a process to improve the growth yield production of lettuce through electrical stimulation and the application of grow lights through an aquarium-type hydroponics system. Three comparative set-ups were made during the experiment, a lettuce plant in the soil for the outdoor set-up, and two sets of lettuce planting in an indoor set-up provided with pink and blue LED lights. Each aquarium set-up undergoes an electrical stimulation with different settings of voltage. Based on the results, it was observed that the plant grew quicker in the aquarium set-up with the pink LED lights and a voltage setting of 20V. Based on observation, it showed a substantial impact on the growth as well as their quality, weight, and appearance. Results showed that electricity boosted the yield of lettuce plants where it only takes 24 days for the lettuce plant to be ready for harvest from a normal of 65 days to mature. On the other hand, the outdoor lettuce plant also developed and produced a result of its quality, height of the plant, and appearance. However, the plant takes a long time to grow and per inspection, the leaves eventually dry out. This study manifested that the electrical stimulation and growth lights could trigger biological activities that could enhance the efficient growth yield of hydroponically grown plants.
Surface tribological and electrochemical properties of TiAlSiN coating in seawater
Authors: Liu Aihua , Deng Jianxin , Tian Runzhou 
Published: May 2023

Abstract
To investigate the effects of friction surface and electrochemical properties on the tribological behavior of TiAlSiN coatings in seawater, the tribological properties of TiAlSiN coatings in air and seawater are comparatively studied using a ball-on-disk tribometer with Si3N4 ceramic balls as the counter material. The results show that under both friction conditions, the wear rate of TiAlSiN coating is decreased compared with 316 l steel substrate, and the coating presents a good protective effect. When friction occurs in air, the abrasive debris in the wear area cannot be discharged in time, resulting in the accumulation of abrasive debris and accelerating the wear of the coating. When friction occurs in seawater, although seawater is corrosive, the lubricating barrier surface formed by the friction oxide during the friction process significantly reduces the wear rate of the coating. In addition, the excellent electrochemical properties and the dense coating microstructure improve the tribocorrosion resistance of the TiAlSiN coating in seawater. It proves that friction surface has a great impact on the tribological performance of TiAlSiN coatings, and how to form a more favorable friction layer in the tribochemical environment is worthy of further research in the field of marine equipment.
Link between interlayer hybridization and ultrafast charge transfer in WS2-graphene heterostructures
Authors: Hofmann Niklas , Weigl Leonard , Gradl Johannes , Mishra Neeraj , Orlandini Giorgio , Forti Stiven , Coletti Camilla , Latini Simone , Xian Lede , Rubio Angel , Paredes Dilan Perez , Causin Raul Perea , Brem Samuel , Malic Ermin , Gierz Isabella 
Published: June 2023

Abstract
Ultrafast charge separation after photoexcitation is a common phenomenon in various van-der-Waals (vdW) heterostructures with great relevance for future applications in light harvesting and detection. Theoretical understanding of this phenomenon converges towards a coherent mechanism through charge transfer states accompanied by energy dissipation into strongly coupled phonons. The detailed microscopic pathways are material specific as they sensitively depend on the band structures of the individual layers, the relative band alignment in the heterostructure, the twist angle between the layers, and interlayer interactions resulting in hybridization. We used time- and angle-resolved photoemission spectroscopy combined with tight binding and density functional theory electronic structure calculations to investigate ultrafast charge separation and recombination in WS2-graphene vdW heterostructures. We identify several avoided crossings in the band structure and discuss their relevance for ultrafast charge transfer. We relate our own observations to existing theoretical models and propose a unified picture for ultrafast charge transfer in vdW heterostructures where band alignment and twist angle emerge as the most important control parameters.
MMSMAPlus: a multi-view multi-scale multi-attention embedding model for protein function prediction
Authors: Wang Zhongyu , Deng Zhaohong , Zhang Wei , Lou Qiongdan , Choi Kup-Sze , Wei Zhisheng , Wang Lei , Wu Jing 
Published: June 2023

Abstract
Protein is the most important component in organisms and plays an indispensable role in life activities. In recent years, a large number of intelligent methods have been proposed to predict protein function. These methods obtain different types of protein information, including sequence, structure and interaction network. Among them, protein sequences have gained significant attention where methods are investigated to extract the information from different views of features. However, how to fully exploit the views for effective protein sequence analysis remains a challenge. In this regard, we propose a multi-view, multi-scale and multi-attention deep neural model (MMSMA) for protein function prediction. First, MMSMA extracts multi-view features from protein sequences, including one-hot encoding features, evolutionary information features, deep semantic features and overlapping property features based on physiochemistry. Second, a specific multi-scale multi-attention deep network model (MSMA) is built for each view to realize the deep feature learning and preliminary classification. In MSMA, both multi-scale local patterns and long-range dependence from protein sequences can be captured. Third, a multi-view adaptive decision mechanism is developed to make a comprehensive decision based on the classification results of all the views. To further improve the prediction performance, an extended version of MMSMA, MMSMAPlus, is proposed to integrate homology-based protein prediction under the framework of multi-view deep neural model. Experimental results show that the MMSMAPlus has promising performance and is significantly superior to the state-of-the-art methods. The source code can be found at https://github.com/wzy-2020/MMSMAPlus.
A complete graph-based approach with multi-task learning for predicting synergistic drug combinations
Authors: Wang Xiaowen , Zhu Hongming , Chen Danyi , Yu Yongsheng , Liu Qi , Liu Qin 
Published: June 2023

Abstract

Motivation
Drug combination therapy shows significant advantages over monotherapy in cancer treatment. Since the combinational space is difficult to be traversed experimentally, identifying novel synergistic drug combinations based on computational methods has become a powerful tool for pre-screening. Among them, methods based on deep learning have far outperformed other methods. However, most deep learning-based methods are unstable and will give inconsistent predictions even by simply changing the input order of drugs. In addition, the insufficient experimental data of drug combination screening limits the generalization ability of existing models. These problems prevent the deep learning-based models from being in service.

Results
In this article, we propose CGMS to address the above problems. CGMS models a drug combination and a cell line as a heterogeneous complete graph, and generates the whole-graph embedding to characterize their interaction by leveraging the heterogeneous graph attention network. Based on the whole-graph embedding, CGMS can make a stable, order-independent prediction. To enhance the generalization ability of CGMS, we apply the multi-task learning technique to train the model on drug synergy prediction task and drug sensitivity prediction task simultaneously. We compare CGMS’s generalization ability with six state-of-the-art methods on a public dataset, and CGMS significantly outperforms other methods in the leave-drug combination-out scenario, as well as in the leave-cell line-out and leave-drug-out scenarios. We further present the benefit of eliminating the order dependency and the discrimination power of whole-graph embeddings, interpret the rationality of the attention mechanism, and verify the contribution of multi-task learning.

Availability and implementation
The code of CGMS is available via https://github.com/TOJSSE-iData/CGMS.
IsoTools: a flexible workflow for long-read transcriptome sequencing analysis
Authors: Lienhard Matthias , van den Beucken Twan , Timmermann Bernd , Hochradel Myriam , Börno Stefan , Caiment Florian , Vingron Martin , Herwig Ralf 
Published: June 2023

AbstractMotivationLong-read transcriptome sequencing (LRTS) has the potential to enhance our understanding of alternative splicing and the complexity of this process requires the use of versatile computational tools, with the ability to accommodate various stages of the workflow with maximum flexibility.ResultsWe introduce IsoTools, a Python-based LRTS analysis framework that offers a wide range of functionality for transcriptome reconstruction and quantification of transcripts. Furthermore, we integrate a graph-based method for identifying alternative splicing events and a statistical approach based on the beta-binomial distribution for detecting differential events. To demonstrate the effectiveness of our methods, we applied IsoTools to PacBio LRTS data of human hepatocytes treated with the histone deacetylase inhibitor valproic acid. Our results indicate that LRTS can provide valuable insights into alternative splicing, particularly in terms of complex and differential splicing patterns, in comparison to short-read RNA-seq.Availability and implementationIsoTools is available on GitHub and PyPI, and its documentation, including tutorials, CLI, and API references, can be found at https://isotools.readthedocs.io/.