bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining Policy Aspects of Food Waste in Indonesia
Authors: Wardhani Lita Tyesta Addy Listya , Minarto Wahyu S , Maharani Virda , Zharfan Abby 
Published: December 2023

Abstract
Food waste is a global concern that impacts various aspects of life, including the environment. Indonesia is the country striving for decreasing food waste. According to data from the Economist Intelligence Unit (2022), Indonesia ranks second among the G20 countries in food waste generation. This study proposes to review existing policies in Indonesia on food waste and compare them with policies from other countries to identify their strengths and weaknesses. This study utilized a literature review and descriptive analysis. The results show that Indonesia needs more specific policies on food loss and waste than several other countries. Therefore, the legislative and executive institutions must expedite the appropriate policies to solve this problem as soon as possible.
An Evaluation of Mechanical and Fracture Characteristics of Geopolymer Concrete Incorporating Steel Fibers.
Authors: Shaik Feroz , Srikrishna Thunuguntla Chaitanya , Reddy Lotla Sandeep 
Published: December 2023

Abstract
The present research aims to examine the impact of steel fiber inclusion (ranging from 0% - considered as reference, 0.08%, 0.16%, 0.24%, to 0.32%) on the mechanical and fracture characteristics of notched geopolymer concrete unreinforced beams (GCUB). These beams are prepared using fly ash and GGBFS (Ground Granulated Blast Furnace Slag), and the findings are compared with those from plain cement concrete unreinforced beams. The investigation encompasses various parameters including compressive strength, bending strength, split tensile strength, fracture energy (GF), crack mouth opening displacement (CMOD), and stress intensity factor (KIC). The primary focus is to assess how the inclusion of crimped steel fibers influences the ability of geopolymer concrete to arrest cracks. The outcomes obtained from the study underscore the effectiveness of crimped steel fibers in mitigating crack propagation and averting brittle fractures within notched geopolymer concrete unreinforced beams. The results indicate notable enhancements across all fracture and mechanical parameters upon the introduction of steel fibers. This points towards the positive impact and efficiency of steel fibers in augmenting the behavior of geopolymer concrete, making it more resistant to crack propagation and brittle failure.
Experimental Investigation on Thermal Insulation of Sustainable 3D Printable Concrete by Using Corncob Powder
Authors: Sai S Lohith , Kasagani Hanuma , Sri Ram Ravi Teja P , Uday Kiran Naik M , Jithendra M Praveen D 
Published: December 2023

Abstract
The construction industry is witnessing the latest technology advancement in the form of 3D printing, which promises to revolutionize the sector by reducing costs, material wastage, and environmental impact. One significant approach to achieving these goals is through the incorporation of various supplementary cementitious materials. This research work aims to study the utilization of corn cob powder (organic waste from agricultural industries) as a thermal insulation material in conjunction with other cement supplementary materials (fly ash, and silica fume). The study focuses on evaluating the material’s rheological properties, such as slump, initial and final setting times, and flowability. Furthermore, the investigation extends to analyzing the hardened properties of the concrete, including compressive strength, split tensile strength, and flexural strength under varying temperature conditions. Results shown that the compressive, split tensile and flexural strength was increased up 5 % to 7% with the inclusion of corn cob powder at 5% and it exhibits good resistance to high temperatures.
Seismic Performance Assessment of RCC Building with Podium
Authors: Asher Ankit M. , Zore Vitthal D. , Murudi Mohan M. 
Published: December 2023

Abstract
With the advancements in structural engineering, seismic performance of buildings can be adjudged on the basis of performance-based techniques. This paper presents the performance based seismic evaluation of buildings with podiums for varying ratios of tower area to podium area. The structural system of the building consists of shear walls and moment resisting frames. Buildings with podiums have been designed and analysed with and without connection between the tower portion and the podium portion for Seismic Zone IV, by carrying out response spectrum analysis as per IS 1893-2016. The structural responses have been compared in terms of diaphragm forces, base shear, time period, storey stiffness, storey shear, storey displacement etc. for the variations in number of podiums i.e., single, double & three podium levels. Performance-based seismic evaluation of the buildings has been carried out with podium and tower as a connected unit with varying ratios of 0.35, 0.45, and 0.55 of tower area to podium area i.e., by keeping the tower area constant and increasing the podium extents. Pushover analysis is carried out and comparison is done for the influence of podium on the non-linear behaviour of the structures.
Energy Efficient Design for a Conventional Building using BIM Tools
Authors: Nurulla Shaik , Purushotham D. V. , Yuvaraj M. S. , Kiran Sai S. 
Published: December 2023

Abstract
Nowadays, energy has become a key player in the AEC industry because of the increase in global warming and energy crisis. Due to global warming the consumption of energy has increased enormously in buildings. The no. of buildings have grown in tandem with rise in levels of urbanization in developing & developed countries, which in return rises the bar for energy consumption. The improved energy performance of the building is significantly influenced by both interior and exterior building factors. It is preferred to perform energy analysis in the design stage of the building. The current paper is the talks about the energy model by improving the design of a conventional buildings, an energy – efficient model is been created which uses less energy and reduces its carbon footprint. Energy analysis using BIM can be used to optimize the building’s design and identify opportunities for improvement, such as implementing energy-saving technologies, improving insulation and air tightness, and reducing energy loss through window frames, it’s glazing type and also redesigning the other parameters including HVAC types, Window shades, change in orientation etc. In the earlier, the conventional model to produce energy through renewable sources like solar and wind, and incorporate them into the building’s design. Thus, obtained results after analysis can be used to take design decisions and ensure the building meets energy efficiency standards and sustainability goals. The use of BIM in the design and analysis of energy-efficient buildings can help support the transition to a low-carbon, sustainable future.
Performance Evaluation of Ternary Blended Concrete Mixes which contains Silica Fume and Bagasse Ash
Authors: Sivaprasad CH , Venkata Krishnaiah R. 
Published: December 2023

Abstract
Cement industries are producing high amounts of carbon dioxide, this problem leads to supplementary cementitious materials utilization. Utilization of agricultural and industrial waste in concrete reduces pollution and disposal problems. This work presents the performance evaluation of the ternary blended concrete mixes in which Silica fume and Sugarcane bagasse ash are used as mineral admixtures. A total of six mixes is used including the Reference mix, which is denoted by M0, M11, M12, M13, M14, and M15 whereas M0 represents the reference mix. M11, M12, M13, M14, and M15 are prepared by partially replacing the cement with SCBA by 5%, 10%, 15%, 20%, and 25% respectively. All the mixes were tested against mechanical and workability properties along with durability Properties and the results are clear that the mix with 15% SCBA and 5% Silica Fume significantly got better results.
Numerical Modelling of Secant Piles
Authors: Surya Bontha Dhileep , Kommu Suresh 
Published: December 2023

Abstract
This study presents numerical modeling of a secant pile wall and investigates the lateral displacements, as well as the pressure exerted on the secant pile wall due to the existing soil. The analysis was performed using a finite element method software package, which simulates the behavior of the soil-pile interaction system under various soil conditions. The numerical model considers the geometrical and material properties of the soil, pile, and concrete infill, as well as the effects of water pressure, soil swelling, and ground movement on the stability of the wall. The results of the analysis show that the secant pile wall is capable of resisting the expected lateral and vertical loads, and earth pressures, and the deflection of the wall is within the acceptable limits. Furthermore, the study investigates the effects of different design parameters on the performance of the secant pile wall, including the spacing and diameter of the piles, the thickness and strength of the concrete infill, and the soil properties. The findings of this research provide valuable insights into the behavior and performance of secant pile walls, which can help engineers and contractors to improve the safety and efficiency of deep excavation projects in urban environments.
Numerical Evaluation of the Reinforced Soil Wall - Limit Equilibrium Approach Under Seismic Loading
Authors: Venkatasubbaiah MC , Reddy GVN 
Published: December 2023

Abstract
Geosynthetic soil walls are effectively utilising because of their adaptability, affordability, and easy to construct. Although cohesive soil has traditionally been used in many regions across the world for economic reasons, a cohesionless soil is advised for geosynthetic reinforced earth walls. From its findings, many criteria, including the angle of internal friction, the horizontal seismic coefficient, the cohesion of the backfill soil, and the surcharge on the backfill, have been assessed. It was evident that the horizontal seismic coefficient has an impact on the stability of reinforced earth walls. The horizontal seismic coefficients, surcharge, and the cohesion of the soil all affect the tension resistance that is mobilised in the reinforcement to preserve the stability of the wall.
Pavement design using bituminous surface course with recycled aggregates
Authors: Pavan Kumar D 
Published: December 2023

Abstract
The utilization of Recycled Aggregates (RA) in the construction of pavement structure is one of the inventive and eco-friendly construction techniques. This scale down the construction cost without negotiates the strength and the durability of the pavement structures. However, RA is rigid in nature because it is obtained from aged bituminous mixtures to enhance a rejuvenator is usually added in order to lower the stiffness. Rejuvenator surges the utility of the bituminous mixtures and makes them be smoothly paved and compacted. The objective of this study is to design a flexible pavement structure using Stone Matrix Asphalt (SMA) as a surface course in order with RA. In SMA mixture major component is occupied by coarse aggregates, mineral filler, bitumen and a minor component of fine aggregates helps to fill the voids present in coarse aggregate which gives stone-on-stone contact. The bitumen binder and mineral filler form mastic, providing durability to the mixture. In this study, the performance of SMA mixtures with different RA proportions and a rejuvenator will be compared with conventional SMA mixture with zero percentage RA. Marshall Mix design is outlined to find the Marshall and volumetric properties of SMA mixtures and to regulate the Optimum Binder Content (OBC). The mixtures will be compared based on the drain down, stripping, Indirect Tensile strength (ITS) and Semi circular bend (SCB) test results. The analysis and design of flexible pavement structure using the prepared SMA mixtures with different RA contents as surface courses also will be carried out as a component of the study.SMA mixture of 40% replacing RA with 3% of palm sludge oil as rejuvenator exhibits optimum bitumen content where vertical stress, strain and displacement obtain reduction with compared to IRC 37 conventional SMA mixture.
Pedestrian behaviour analysis at intersection in Vijayawada for road user safety and infrastructure design
Authors: Varsha Thakkellapati Charitha , Sajja Satish , Ramya Aruna Siri B , Prasad G Hari , Kashyap Tejo Sai E 
Published: December 2023

Abstract
Pedestrian behaviour analysis is crucial for improving safety, urban planning, public health, and transportation infrastructure planning to establish a pedestrian-friendly zone and enhance people’s overall quality of life in urban contexts. Micro-level infrastructure improvements, such as better lighting, crosswalks, and sidewalks, are essential for communities to be sustainable and walkable. Safe and practical infrastructure encourages active mobility and reduces dependency on energy-intensive modes of transportation. Giving pedestrian safety as a priority in urban construction enhances the environmental significance of sustainable cities. Safe pedestrian environments encourage walking and other non-motorized modes of transportation, which lessens the pollution and emissions that come from driving. In the majority of developing countries, such as India, rapid urbanization, an increase in the number of vehicles, and a lack of adherence to traffic regulations by both automobiles and pedestrians contribute to a significant problem at junctions. The objective of this paper is to investigate how pedestrians behave at three junctions in Vijayawada say the Moghalrajpuram intersection, high school road junction, and kanuru junction (Andhra Pradesh, India). Approximately 69% of people in the study area prefer to cross in a perpendicular manner. At Kanuru, oblique crossing speeds range from 1.88 to 3.08 m/sec, whereas perpendicular crossing speeds range from 1.88 to 2.09 m/sec. Oblique crossing speeds at the High School Road intersection range from 3.35 to 3.49 m/sec, and perpendicular crossing speeds range from 2.00 to 2.45 m/sec. Oblique crossing speeds at Moghalrajpuram junction range from 1.05 to 1.61 m/sec, while perpendicular crossing speeds range from 1.76 to 2.50 m/sec for all the genders and age groups. At every intersection, pedestrian flow variables like crossing patterns, crossing speeds in relation to demographics like age and gender, total pedestrian counts, waiting times, and directions are analysed.
Treatability Study on Textile Wastewater using Water Hyacinth Bioadsorbent
Authors: Maria Subashini L. , Saritha B. 
Published: December 2023

Abstract
Textile dye effluent consists of dye colour and other harmful organics has been a major problem to the Environment due to Industrial development. The most effective adsorption in textile dye wastewater is attained by using commercially activated carbon. The creation of adsorbent, which may be utilized as an alternative, inexpensive method of treating the dye produced during the textile manufacturing process, can benefit greatly from agricultural wastes. In this study, the characterization of the textile dye waste water sample was done and the adsorptive capacity of Water hyacinth biochar in the COD,TDS, TSS removal of textile dye wastewater was studied. Water hyacinth biochar is used as the adsorbent in investigations using batch adsorption. COD values were determined through back titration before adsorption process and after the adsorption process to ascertain whether water hyacinth biochar is helpful at lowering COD of wastewater from textile dyes. Adsorbent dose, contact time, and agitation speed were some of the adsorption parameters that were varied during the adsorption investigation. The reduction of COD, TSS and TDS due to adsorption was found to effective. Hence, the study demonstrated a successful application of Water hyacinth biochar as a promising long-lasting adsorbent for cleaning out impurities from effluent from textile dyeing.
Enhancing blood flow prediction in multi-exposure laser speckle contrast imaging through ensemble learning with K-mean clustering
Authors: Jain Pankaj , Gupta Saurabh 
Published: December 2023

Abstract

Purpose. Accurately visualizing and measuring blood flow is of utmost importance in maintaining optimal health and preventing the onset of various chronic diseases. One promising imaging technique that aids in visualizing perfusion in biological tissues is Multi-exposure Laser Speckle Contrast Imaging (MELSCI). MELSCI technique allows real-time quantitative measurements using multiple exposure times to obtain precise and reliable blood flow data. Additionally, the application of machine learning (ML) techniques can further enhance the accuracy of blood flow prediction in this imaging modality. Method. Our study focused on developing and evaluating Ensemble Learning ML techniques along with clustering algorithms for predicting blood flow rates in MELSCI. The effectiveness of these techniques was assessed using performance parameters, including accuracy, F1-score, precision, recall, specificity, and classification error rate. Result. Notably, the study revealed that Ensemble Learning with clustering emerged as the most accurate technique, achieving an impressive accuracy rate of 98.5%. Furthermore, it demonstrated a high recall of more than 91%, F1-score, the precision of more than 90%, higher specificity of 99%, and least classification error of 1.5%, highlighting its suitability and sustainability for flow prediction in MELSCI. Conclusion. The study’s findings imply that Ensemble Learning can significantly contribute to enhancing the accuracy of blood flow prediction in MELSCI. This advancement holds substantial promise for healthcare professionals and researchers, as it facilitates improved understanding and assessment of perfusion within biological tissues, which will contribute to the maintenance of good health and prevention of chronic diseases.
Indistinguishability-assisted two-qubit entanglement distillation
Authors: Nosrati Farzam , Bellomo Bruno , De Chiara Gabriele , Compagno Giuseppe , Morandotti Roberto , Lo Franco Rosario 
Published: December 2023

Abstract
Production of quantum states exhibiting a high degree of entanglement out of noisy conditions is one of the main goals of quantum information science. Here, we provide a conditional yet efficient entanglement distillation method which functions within the framework of spatially localized operations and classical communication. This method exploits indistinguishability effects due to the spatial overlap between two identical qubits in distinct sites and encompasses particle statistics imprint. We derive the general conditions for the maximum entanglement distillation out of mixed states. As applications, we give a thorough description of distilled entanglement and associated success probability starting from typical noisy states, such as thermal Gibbs states and Werner states. The influence of local temperatures and of a noise parameter is discussed, respectively, in these two cases. The proposed scheme paves the way towards quantum repeaters in composite networks made of controllable identical quantum particles.
Review on laser directed energy deposited aluminum alloys
Authors: Liu Tian-Shu , Chen Peng , Qiu Feng , Yang Hong-Yu , Jin Nicholas Tan Yew , Chew Youxiang , Wang Di , Li Ruidi , Jiang Qi-Chuan , Tan Chaolin 
Published: December 2023

Abstract
Lightweight aluminum (Al) alloys have been widely used in frontier fields like aerospace and automotive industries, which attracts great interest in additive manufacturing (AM) to process high-value Al parts. As a mainstream AM technique, laser-directed energy deposition (LDED) shows good scalability to meet the requirements for large-format component manufacturing and repair. However, LDED Al alloys are highly challenging due to their inherent poor printability (e.g. low laser absorption, high oxidation sensitivity and cracking tendency). To further promote the development of LDED high-performance Al alloys, this review offers a deep understanding of the challenges and strategies to improve printability in LDED Al alloys. The porosity, cracking, distortion, inclusions, element evaporation and resultant inferior mechanical properties (worse than laser powder bed fusion) are the key challenges in LDED Al alloys. Processing parameter optimizations, in-situ alloy design, reinforcing particle addition and field assistance are the efficient approaches to improving the printability and performance of LDED Al alloys. The underlying correlations between processes, alloy innovation, characteristic microstructures, and achievable performances in LDED Al alloys are discussed. The benchmark mechanical properties and primary strengthening mechanism of LDED Al alloys are summarized. This review aims to provide a critical and in-depth evaluation of current progress in LDED Al alloys. Future opportunities and perspectives in LDED high-performance Al alloys are also outlined.
Optofluidic photonic crystal micro sensor for enhanced detection of infectious diseases
Authors: Sharan Preeta , Khouqeer Ghada A , El-Badry Basma A , Alodhayb Abdullah N , Upadhyaya Anup M , Patil Harshada J 
Published: December 2023

AbstractThis research encompasses a comprehensive study on the application of 1D photonic crystal-based detection in the context of infectious diseases, specifically targeting malaria stages, chikungunya, and dengue. It explores the interactions between the photonic crystal and various biomolecules associated with these diseases, with a focus on platelets, plasma, and uric acid. The transmission spectrum graphs obtained from these interactions provide crucial insights into the detection and quantification of the diseases, offering real-time and label-free monitoring capabilities. Maximum sensitivity of 550 nm RIU−1and Q factor of 29,260 obtained. Additionally, the study incorporates the design and analysis of a microfluidic channel optimized for the proposed sensor, ensuring accurate temperature and pressure distributions. The results demonstrate the feasibility of the microfluidic platform for enhancing sensor performance and fluid handling. This integrated approach shows promising potential for early disease diagnosis and monitoring, paving the way for practical implementation and further advancements in the field of sensing and diagnostics