bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Collateral study on Optimization of Pre-Engineered building with Tubular sectional connection
Authors: Disha J , Gourav K 
Published: January 2023

Abstract
Over the recent years, innumerable upheaval has been done in the field of steel construction industry, out of which pre-Engineered buildings (PEB) are one of the most remarkable ones. Pre-Engineered buildings are typical steel structures which are pre-fabricated and the designs are pre-determined which are contemplated to be more cost efficient, because of the tapered sections being utilized, in accordance with its bending moment requirement. These types of structures will not only be cost effective and environmentally friendly but also more flexible, thus eradicating the failure due to sequel of seismic forces. PEBs are generally industrial structures, which are designed for enormous spans. In this research work, the variation of structural behaviour of PEBs when it’s been embraced with considerably increased spans (30 m, 60 m and 90m) are compared and studied. In general, hot rolled tapered I-sections are used in erection of a PEB. Due to the inadequacy in connection configurations available, Pre- Engineered light weight cold form steel structures with tubular steel sectional connections are not well renowned. An attempt is also been made to bring out tubular sectional connections for the beam- rafter junction in all the PEBs deigned for 30 m, 60 m and 90m using E350 steel. Typical connections are proposed for both main frames and the gable frames of the PEB. The outcome of this study appears to be contended for at both the junctions in 30 m span and 60 m span, but 90 m main joint fails, due to the substantial bending moments developed across the major axis. So, these set of connections can be adopted for PEBs up to a moderate span, which helps in reducing the weight of steel that is been utilized in the construction, which successively foster sustainability.
Optimization of critical factors responsible for prestressed concrete bridge pier collapse
Authors: Sayyed Goushiya , Pawar Prashant 
Published: January 2023

Abstract
In this research, the Taguchi approach has been used to identify the crucial factors responsible for the failure of a reinforced concrete bridge pier in India. The Taguchi method’s orthogonal array L27 examines the effect of material dynamic response factors on the pier damage level. According to Taguchi’s design of experiments, five input criteria relating to reinforced concrete bridge materials properties have been chosen as controllable factors: concrete strength, rebar strength, damping ratio, isolator pier stiffness, and abutment stiffness. The nonlinear time history approach uses Midas- Civil for a 3-D finite element model of an existing bridge at Sangli, India. The research included bridge pier collapse as a performance criterion. The analysis of variance revealed that stiffness of abutment, stiffness of pier, and damping ratio for pier deck significantly impacted the pier collapse performance. The result shows that concrete strength and damping ratio are the essential parameters, with 42% and 41% of the total contribution to pier displacement, respectively. Therefore, it is concluded that the most critical material factors for pier collapse are abutment stiffness and pier stiffness, with a contribution of 53 % and 23%, respectively.
Assessing the Application of Lime and Foundry Sand in Soil Stabilization- A Lab Scale Approach
Authors: Naveen Prasad M , Jeya Sudha S , Nagarajan M 
Published: January 2023

Abstract
Strictly speaking, we are in the need of discerning best soil stabilizers to counteract the problems in soft soils. Stabilizers can improve the engineering properties of soil by making it to become more stable. This analysis aims to estimate the effect of foundry sand and lime in sundry proportions based on experimental work. This can be utilized as a modifier or stabilizer in the treatment of clay soil for road work and construction. Lime is obtained by heating limestone at proper temperature. Lime stabilization can be prosperously utilized for projects to improve poor sub grade and soils. Investigations are also done by adding foundry sand which is obtained from metal foundries. It can be used for soil stabilization which can also be an effective option in waste management and sustainable development in construction industry. The effectiveness in stabilizing soils is obtained from the results of standard proctor compaction test, unconfined compressive strength test, California bearing ratio test. As a result of comparison between the three proportions conducted at three days (0, 7, 14) the property of clay increases at the day of 14 and 10% Foundry Sand and 5% lime being one of the most effective proportions. This method includes the compaction of clay soil tested at appropriate quantities of the mix prepared with alternative days. This study proves to be an effective methodology to improve the soil stabilization. Lime and foundry sand has the higher potential to act as soil stabilizers.
Analysis of Skew Bridge-Slab Under IRC Vehicle Loading
Authors: Naik Pavankumar , Gourav K 
Published: January 2023

Abstract
Skew slab bridges are essential in mountainous areas because topographic restrictions prevented changing the alignment of the road also, crossings of roads and railroads. In simple supported bridges, the effect of skew may typically be ignored up to 15 degrees of skew, and the bridge can be constructed as a right-angled bridge. The behaviour of skew slab bridges more than 15 degrees is complicated hence the study on the behaviour of skew-bridge slab under IRC vehicle loading is carried out. About 70 different deck slab models are analyzed in STAAD Pro software with varying width from 1 to 4 lanes, and span lengths of 7.5m and 12m with for skew angles 0° to 50° in increment of 10°.The vehicle loads and positioning of vehicles are done as per IRC-6:2017 standard specifications. The results show that the bending moment and deflection in near edge beams decreases with increase in skew angle. In farer edge beam the bending moment increase till skew of 30° and deflection increases after skew of 30°. The longitudinal bending moment decreases with increase in skew angle. Transverse bending moments are prominent at near the corners that at the centre. The torsion moments are more concerned in slabs with small width and large span. Deflection decreases at all the parts of the slab as skew increases. The maximum deflection in free edges of the slab shifts towards the obtuse corners.
Analysis of Liquefaction Potential of Soils in Guntur Region (CRDA)
Authors: Rani Ch Sandhya , Ram Babu T S , Donavalli Jahnavi 
Published: January 2023

Abstract
In earthquake-prone areas that are susceptible, liquefaction is a severe natural hazard. Due to a rise in pore water pressure, soil liquefaction happens Due to the reduction in strength and stiffness of saturated and cohesion-less soil. By being rapidly loaded or shaken during an earthquake, soil can occasionally lose part of its strength. Liquefaction results in soil failures, which severely harm buildings supported on such grounds and incur large economic losses. Regarding the protection of both life and property, study of liquefaction potential is crucial. The aim of the study is to assess the liquefaction potential in the Guntur region. Understanding the liquefaction mechanism is necessary for a methodical approach to the improvement of capacities to evaluate the liquefaction potentiality of soil deposits & earth structures. So, utilizing the information from the (SPT), liquefaction analysis is done utilizing the strategy of the simplified approach described by Seed and Idriss. It is possible to determine a number of parameters, including reduction factor, cyclic stress ratio (CSR), cyclic resistance ratio (CRR), and liquefaction potential index. More detailed studies can be done by using software to acquire more accuracy.
Basics of computational fluid dynamics: An overview
Authors: Patil Digambar , Kadam Sachin 
Published: January 2023

Abstract
Computational fluid dynamics (CFD) deals with equations that control fluid motion. CFD has several applications in diverse technical domains. In this review paper, a discussion was made on the basics of CFD and its applications in multiple domains. To tackle the fluid problem, CFD has some said procedure that needs to be followed to arrive at the solution step. The first step is to write down a mathematical equation for fluid flow. These mathematical equations are a set of partial derivatives. Discretizing is the next step to deriving this equation concerning numerical equivalent. After that, the domain is divided into tiny grids, popularly known as meshing. The final step involves deciding whether boundary conditions align with the fluid problem. In all CFD standards, these three aspects play an essential role, i.e. (1) A pre-processor is responsible for creating geometry, mesh generation, and providing flow characteristics and boundary conditions to the standard code. (2) A flow solver is utilized to solve equations related to the fluid issue. Researchers commonly use flow solvers, including the finite element method, finite difference method, and finite volume method. (3) A post-processor gives the final display output graphically and understandably. According to most researchers, recent improvements in computational fluid dynamics have created low-cost opportunities. This paper helps to comprehend the CFD standards procedure to solve the fluid problem.
Proposing a Water Distribution Network Solution for an Arid Region Using the Criticality Tool
Authors: Patil Rajendra D , Kumavat Hemraj R , Girase Mandipsinh I , Patil Kuldeep P 
Published: January 2023

Abstract
Water is an essential component of our daily life. Water is delivered to our homes through a water distribution system. Various analyses are required to understand how various elements affect the network. We may run many scenarios on the network and examine the results using the Water Gems software. This software also helps to shorten the time it takes to figure out where a pipe has been damaged, allowing for more effective water saving. The analysis is carried out in order to improve the network’s efficiency. Changes in hydraulic parameters, physical parameters, and other variables can be determined using these analyses. The proposed water distribution network is Nimkhedi, Jalgaon. Criticality analysis is a method that analyzes every potential machine breakdown scenario and evaluates how those failures could impact the network overall. Clarifying what may be done to lower the risk connected with each resource can be done by doing a criticality analysis. A versatile tool to assess and determine the most important components of a water distribution network is provided by criticality to the user. The Smart Water Metering System is crucial for consumer convenience and water management.
A review of fresh and hardened properties of concrete reinforced with waste materials
Authors: Mandadapu Sai Nandan , Prabhakara Rao VN , Rani Ch Sandhya 
Published: January 2023

Abstract
The worlds demand on aggregates in construction is rapidly increasing from last few years, reason is mainly due to drastic economic growth of the Nations like Brazil, China, and India. Basically, this growth inspires the construction development and destruction activities. This study expresses the state of art of review on research of the industrial wastes which are polluting the environment. During the process of manufacture of several proportions and grades of concrete, non-conventional materials such as foundry sand from metal forging industry and tile dust produced by the tile industries were used to replace fine aggregate partial replacement of 10% - 50%, by weight of fine aggregate. It is found that compressive strength and flexural strength were increased up to 20% replacement of used foundry sand and 10% replacement of tiles dust with natural sand. Since the thickness of pavement slab is reduced, the cost of pavement construction is reduced almost 15% and 22% respectively for both type of alternative concrete mixes. Reuse of waste materials as a partial replacement of fine aggregate in concrete helps to achieve eco-friendly and sustainable development. Quarry dust is a flowable material used for ecofriendly waste for where the grade of conventional concrete is prepared. The mix of nano silica and GGBS with concrete (50 % GGBS, 46% OPC, and 4 % Nano Silica). The effects of reactive silicate and process variables like sodium content and molarity on the alkaline activation of various Nano clays and GGBS are investigated. Considering all the properties and materials partial substitution of 40% copper slag with fine aggregate is nearly equal to the strength of the conventional concrete. Among all other findings foundry sand and quarry dust of 20% and 10% proportions are used as a substitutional material in concrete got achieved adaptable strengths. In porous dam structures bentonite with high water cement ratio with aggregates produces flexible material used as a permeable layer.
Influence of various parameters on lifecycle cost of buildings with active energy efficiency measures.
Authors: Mokesh prabu E , Rakesh P 
Published: January 2023

Abstract
The energy consumption of the building sector has heightened significantly in recent times owing to rapid global urbanization. Energy efficiency measures (EEM) may become a legal obligation for construction in years ahead. This study proposes the execution of Active Energy Efficiency Measures (AEEM) in a hospital building model evolved in energy simulation software while designed for a warm and humid environment. A series of design models were developed for the study by considering temperature set-points, HVAC star rating, and roof area for solar plant as the varying parameters. Investors have been reluctant to adopt efficiency measures attributed to the rise in their capital costs. Therefore, the study performed a Lifecycle Cost Analysis (LCCA) and payback period computations for additional investments to implement EEM. The findings are presented in the form of a correlation study between percentages of annual energy savings, life-cycle cost reductions, and additional capital investments for the implementation of AEEM. Energy conservation strategies without any additional investments to obtain a good future return are also discussed. With the combination of varying parameters, energy savings of up to 38.66% and a reduction in Lifecycle Cost (LCC) of up to 17.25% are obtained. Comparisons of design models highlight the importance of performing energy simulations and LCCA prior to actually making an investment in energy efficiency strategies.
Effects of quantum resources and noise on the statistical complexity of quantum circuits
Authors: Bu Kaifeng , Koh Dax Enshan , Li Lu , Luo Qingxian , Zhang Yaobo 
Published: January 2023

Abstract
We investigate how the addition of quantum resources changes the statistical complexity of quantum circuits by utilizing the framework of quantum resource theories. Measures of statistical complexity that we consider include the Rademacher complexity and the Gaussian complexity, which are well-known measures in computational learning theory that quantify the richness of classes of real-valued functions. We derive bounds for the statistical complexities of quantum circuits that have limited access to certain resources and apply our results to two special cases: (a) stabilizer circuits that are supplemented with a limited number of T gates and (b) instantaneous quantum polynomial-time Clifford circuits that are supplemented with a limited number of CCZ gates. We show that the increase in the statistical complexity of a quantum circuit when an additional quantum channel is added to it is upper bounded by the free robustness of the added channel. Moreover, as noise in quantum systems is a major obstacle to implementing many quantum algorithms on large quantum circuits, we also study the effects of noise on the Rademacher complexity of quantum circuits. Finally, we derive bounds for the generalization error associated with learning from training data arising from quantum circuits.
Inexpensive monolithic additive manufacturing of silicone structures for bio-inspired soft robotic systems
Authors: Ovy S M Al Islam , Stano Gianni , Percoco Gianluca , Cianchetti Matteo , Tadesse Yonas 
Published: January 2023

Abstract
In soft robotics, the fabrication of extremely soft structures capable of performing bio-inspired complex motion is a challenging task. This paper introduces an innovative 3D printing of soft silicone structures with embedded shape memory alloy (SMA) actuators, which is completed in a single printing cycle from CAD files. The proposed custom-made 3D printing setup, based on the material extrusion (MEX) method, was used in conjunction with a cartesian pick and place robot (CPPR) to completely automate the fabrication of thick silicone skins (7 mm) with embedded shape memory alloy actuators. These structures were fabricated monolithically without any assembly tasks and direct human intervention. Taking advantage of the capability to 3D print different geometries, three different patterns were fabricated over the silicone skin, resulting in remarkable dynamic motions: an out-of-plane deformation (jumping of the structure from the x-y plane to the x-z plane) was achieved for the first-time employing silicone skin, to the best of the author’s knowledge. In addition, two process parameters (printing speed and build plate temperature) and the extruded silicone curing mechanisms were investigated to enhance the printing quality. This paper aims to advance the role of additive manufacturing in the field of soft robotics by demonstrating all the benefits that a low-cost, custom-made silicone 3D printer can bring to the table in terms of manufacturing soft bio-inspired structures.
Robust associations between white matter microstructure and general intelligence
Authors: Stammen Christina , Fraenz Christoph , Grazioplene Rachael G , Schlüter Caroline , Merhof Viola , Johnson Wendy , Güntürkün Onur , DeYoung Colin G , Genç Erhan 
Published: January 2023

AbstractFew tract-based spatial statistics (TBSS) studies have investigated the relations between intelligence and white matter microstructure in healthy (young) adults, and those have yielded mixed observations, yet white matter is fundamental for efficient and accurate information transfer throughout the human brain. We used a multicenter approach to identify white matter regions that show replicable structure–function associations, employing data from 4 independent samples comprising over 2000 healthy participants. TBSS indicated 188 voxels exhibited significant positive associations between g factor scores and fractional anisotropy (FA) in all 4 data sets. Replicable voxels formed 3 clusters, located around the left-hemispheric forceps minor, superior longitudinal fasciculus, and cingulum–cingulate gyrus with extensions into their surrounding areas (anterior thalamic radiation, inferior fronto-occipital fasciculus). Our results suggested that individual differences in general intelligence are robustly associated with white matter FA in specific fiber bundles distributed across the brain, consistent with the Parieto-Frontal Integration Theory of intelligence. Three possible reasons higher FA values might create links with higher g are faster information processing due to greater myelination, more direct information processing due to parallel, homogenous fiber orientation distributions, or more parallel information processing due to greater axon density.
Gravity matters for the neural representations of action semantics
Authors: Xiong Ziyi , Tian Yu , Wang Xiaosha , Wei Kunlin , Bi Yanchao 
Published: January 2023

Abstract
The dynamic relationship between the neural representation of action word semantics and specific sensorimotor experience remains controversial. Here, we temporarily altered human subjects’ sensorimotor experience in a 15-day head-down tilt bed rest setting, a ground-based analog of microgravity that disproportionally affects sensorimotor experiences of the lower limbs, and examined whether such effector-dependent activity deprivation specifically affected the neural processes of comprehending verbs of lower-limb actions (e.g. to kick) relative to upper-limb ones (e.g. to pinch). Using functional magnetic resonance imaging, we compared the multivoxel neural patterns for such action words prior to and after bed rest. We found an effector-specific (lower vs. upper limb) experience modulation in subcortical sensorimotor-related and anterior temporal regions. The neural action semantic representations in other effector-specific verb semantic regions (e.g. left lateral posterior temporal cortex) and motor execution regions were robust against such experience alterations. These effector-specific, sensorimotor-experience-sensitive and experience-independent patterns of verb neural representation highlight the multidimensional and dynamic nature of semantic neural representation, and the broad influence of microgravity (hence gravity) environment on cognition.
Effects of Supplemented Mediterranean Diets on Plasma-Phospholipid Fatty Acid Profiles and Risk of Cardiovascular Disease after 1 Year of Intervention in the PREDIMED Trial
Authors: Razquin Cristina , Ruiz-Canela Miguel , Wernitz Andreas , Toledo Estefania , Corella Dolores , Alonso-Gómez Ángel , Fitó Montse , Gómez-Gracia Enrique , Estruch Ramón , Fiol Miquel , Lapetra José , Serra-Majem Lluis , Ros Emilio , Arós Fernando , Salas-Salvadó Jordi , Schulze Matthias B , Martinez-Gonzalez Miguel A 
Published: January 2023

AbstractBackgroundPlasma fatty acids (FAs) have been associated with cardiovascular disease (CVD) risk. Diet and endogenous metabolism influence the FA profile of the plasma phospholipid (PL) fraction. In the PREDIMED trial, we examined 1-year changes in the FA profile of plasma PL according to a nutritional intervention with Mediterranean diets, either supplemented with extra-virgin olive oil (MedDiet + EVOO) or mixed nuts (MedDiet + nuts), in a high cardiovascular risk population. We also analyzed if 1-year changes in PL FAs were associated with subsequent cardiovascular risk.MethodsWe included 779 participants in our case-cohort study: 185 incident cases and 594 participants in the subcohort (including 31 overlapping cases). The end point was the incidence of CVD. We measured the FAs of plasma PL at baseline and after 1 year of intervention.ResultsMedDiet + EVOO increased C17:0 and C20:3n9 in linear regression models [β coefficientperSD : 0.215 (95% CI, 0.032–0.399) and 0.271 (0.107–0.434), respectively] and decreased 16:1n7 and C22:4n6 [βperSD: −0.239 (95% CI, −0.416 to −0.061) and −0.287 (95% CI, −0.460 to −0.113), respectively] vs the control group. MedDiet + nuts increased C18:3n3 [βperSD: 0.382 (95% CI, 0.225 – 0.539)], C18:2n6 [βper SD: 0.250 (95% CI, 0.073 — 0.428)], C18:0 [βperSD: 0.268 (95% CI, 0.085—0.452)], and C22:0 [βper SD: 0.216 (95% CI, 0.031—0.402)]; and decreased the sum of six n6 FAs [βper SD: −0.147 (95% CI, −0.268 to −0.027)] vs the control group. The 1-year increase in C18:2n6 was inversely associated with the subsequent CVD risk (HRperSD: 0.64 (95% CI, 0.44–0.92)).ConclusionsMedDiet interventions changed n6 FAs and C16:1n7c; other changes were specific for each group: MedDiet + EVOO increased C17:0 and C20:3n9, and MedDiet + Nuts C18:3n3, C18:2n6, C18:0, and C22:0 FAs.