Miracle-dz/UniFAR-FTUs huggingface dataset:
CFD SIMULATION USING WOOD (CENGAL AND MERANTI) TO IMPROVE COOLING EFFECT FOR MALAYSIA GREEN BUILDING

In this study, heat transfer investigation is done in order to improve the cooling effect for green building without damaging the environment. This proposal is provoked by the desire to reduce the temperature for the green building and to sustain the environment and natural resources. The building industry is also a large consumer of non-renewable materials, and this trend has increased dramatically over the past century. To this end, we have been addressing sustainability concerns related to building construction materials through much research approach. It applied to building elements where we can collectively influence design, materials, construction, energy consumption and disposal. Comparison of temperature profiles of the material in the traditional wood house and green building model by using the constant temperature heat source and linearly varying temperature of the heat source for unsteady state is done. Also, the time for temperature to become steady is compared. The problem will be solved by using the software package FLUENTGAMBIT. The parameters under analysis focused on changing the influence of exterior walls in the energy consumption for cooling the building.
Sustainability in the Civil Construction Sector Supported by Industry 4.0 Technologies: Challenges and Opportunities

The civil construction sector is under pressure to make construction processes more sustainable, that is, aligned with economic, social, and environmental sustainability. Thus, the research question considers: How do Industry 4.0 Technologies help civil construction face challenges and identify new opportunities to become sustainable? The general objective of this work is to offer a current overview of publications that associate the civil construction sector; Industry 4.0 Technologies and sustainability, and identify the challenges and opportunities of the Industry 4.0 Technologies set to contribute to sustainability achievement. The research method was a bibliographic review combined with bibliometric analysis in SCOPUS databases. The results show that civil construction faces the challenge of reducing the consumption of natural resources, ensuring safe work, and optimizing processes, especially handwork. However, the insertion of Industry 4.0 Technologies into civil construction has allowed sensors, robots, modelling and simulation systems, artificial intelligence, and drones to have their productivity, efficiency, safety, strategic and environmental management enhanced. Furthermore, Industry 4.0 Technologies can contribute to civil construction through innovative, sustainable, and technological solutions focused on the flow of work, which can provide growth through the balance of costs/benefits in the management of projects and works. Thus, it is expected that this article will contribute to discussions around the possibility of construction becoming sustainable with the support of Industry 4.0 Technologies.
Moe Kura: a longitudinal study of mother and child sleep and well-being in Aotearoa New Zealand

ABSTRACT Moe Kura is a longitudinal study focused on the role of sleep in the health and well-being of mothers and children in Aotearoa New Zealand (NZ). The leadership, design and conduct of the study is informed by Kaupapa Māori research principles and is positioned within a broader rights-based approach to health, recognising that inequities in health must be identified and understood to improve the health of wāhine Māori and tamariki. In late pregnancy 418 Māori women and 768 non-Māori women were recruited and data collected at four waves (35–37 weeks gestation, 4–6 weeks postpartum, 11–13 weeks postpartum and when the Moe Kura child was 3–4 years of age) with linkage to birth records and national administrative datasets and associated qualitative research. Findings demonstrate substantial inequities in sleep health, infant and maternal health, and maternal employment between Māori and non-Māori, along with the important role of sleep in perinatal health and maternal mental health outcomes. The research philosophy that underpins the study, the primary focus on women, and the detailed measurement of sleep during the childbearing years has provided new and important findings that contribute to intervention development and health policy for women and children in NZ.
Functional dispersion of wetland birds, invertebrates and plants more strongly influenced by hydroperiod than each other

The relative role of biological and abiotic filters on the assembly of co-occurring taxa is widely debated. While some authors point to biological interactions (e.g., competition) as the stronger driver of ecological selection, others assert that abiotic conditions are more important because they filter species at the regional level. Because communities influenced by a dominant abiotic filter, (e.g., Prairie Pothole Region (PPR) wetlands, each varying in ponded water permanence), often have strong cross-taxon relationships, we can study these communities to better understand the relative influence of abiotic vs biotic filters on community structure. Using functional dispersion as our measure of communities, we test six alternate hypotheses about the relative importance of various pathways representing influence of biological and permanence filters on birds, aquatic macroinvertebrates and wetland plants in the northwest PPR using structural equation modeling. We aimed to understand whether: 1) ponded water permanence alone explained functional dispersion; 2) the influence of permanence on functional dispersion was direct or mediated; and 3) abiotic filtering by permanence was stronger than biotic filtering by co-occurring taxa. The best model suggests that there is a direct influence of permanence on the functional dispersion of each taxonomic group and that both bird and macroinvertebrate functional dispersion are causally related to plant functional dispersion, though for invertebrates the influence of plants is much less than that of permanence. Thus, the relative importance of wetland permanence and the functional dispersion of co-occurring taxa depends on which taxon is considered in PPR wetlands.
A Hierarchical Blockchain-Assisted Conditional Privacy-Preserving Authentication Scheme for Vehicular Ad Hoc Networks

Through information sharing, vehicles can know the surrounding road condition information timely in Vehicular Adhoc Networks. To ensure the validity of these messages and the security of vehicles, the message authentication, privacy-preserving, and delay problems are three important issues. Although many conditional privacy-preserving authentication schemes have been proposed to ensure secure communication, there still exist some imperfections such as frequent interactions or unlinkability. From this, our paper proposes a novel hierarchical blockchain-assisted authentication scheme to solve these existing issues comprehensively. First, unlinkability is achieved by a dynamic key derivation algorithm. Second, the proposed scheme can reduce correlation processing delay, queuing delay, and deployment costs by adopting hierarchical Vehicle Fog Computing. Third, cross-region authentication is achieved by taking advantage of the properties of blockchain. In addition, we demonstrate our scheme can fulfill the security criteria of the Vehicular Adhoc Network by security analysis. Furthermore, the simulations are carried out to show its availability by using JAVA and NS-3. The findings reveal that the suggested method outperforms earlier schemes in terms of computation cost and communication cost. All in all, making the authentication scheme more efficient and concise is the focus of our future research.
Three-Dimensional Inversion of Semi-Airborne Transient Electromagnetic Data Based on a Particle Swarm Optimization-Gradient Descent Algorithm

Semi-airborne transient electromagnetics (SATEM) is a geophysical survey tool known for its ability to perform three-dimensional (3D) observations and collect high-density data in large volumes. However, SATEM data processing is presently restricted to 3D model-driven inversion, which is not conducive to detailed surveys. This paper presents a new 3D model- and data-driven inversion algorithm using the particle swarm optimization (PSO) and gradient descent (GD) algorithms. PSO is used to suppress the multiplicity of solutions associated with inverse problems, and the GD algorithm is employed to accelerate the convergence of the inversion process. For the PSO-GD algorithm, a new model-updating equation is established and a cosine probability function is introduced as a weighting term for PSO and GD algorithms to ensure a smooth transition between the two algorithms in the iterative process. The α-trimmed filter function is used as a regularization constraint to smooth the model. The stability and reliability of the PSO-GD algorithm are verified through numerical simulations. Finally, the new algorithm is applied to the processing of SATEM measurements of the Qinshui coal mine in Jincheng, Shanxi Province, China.
A Block Shuffle Network with Superpixel Optimization for Landsat Image Semantic Segmentation

In recent years, with the development of deep learning in remotely sensed big data, semantic segmentation has been widely used in large-scale landcover classification. Landsat imagery has the advantages of wide coverage, easy acquisition, and good quality. However, there are two significant challenges for the semantic segmentation of mid-resolution remote sensing images: the insufficient feature extraction capability of deep convolutional neural network (DCNN); low edge contour accuracy. In this paper, we propose a block shuffle module to enhance the feature extraction capability of DCNN, a differentiable superpixel branch to optimize the feature of small objects and the accuracy of edge contours, and a self-boosting method to fuse semantic information and edge contour information to further optimize the fine-grained edge contour. We label three sets of Landsat landcover classification datasets, and achieved an overall accuracy of 86.3%, 83.2%, and 73.4% on the three datasets, respectively. Compared with other mainstream semantic segmentation networks, our proposed block shuffle network achieves state-of-the-art performance, and has good generalization ability.
Pose estimation using cascade trees

In this thesis, I implemented and extended a face detector, based on cascades of boosted features, for use in real time systems. The extensions are twofold. First, I designed a way of combining several cascades into a cascade tree, and showed how such a tree provides a powerful mechanism for combining detector efficiency and accuracy. When the training data has large variations, the cascade tree yields a faster detector, and when the data has only small variations, there is a distinct detection rate improvement. As a second extension, I designed a system for pose estimation based on an array of cascades. I performed an evaluation of this system and compared to normalized cross-correlation. Thesis Supervisor: Trevor Darrell Title: Associate Professor
Bowel Obstruction Caused by Broad Ligament Hernia Successfully Repaired by Laparoscopy in an Elderly Patient: A Case Report

The most common causes of small bowel obstruction (SBO) are adhesions, Crohn’s disease, neoplasms, and hernias. Internal hernias are rare, and they occur when the small bowel herniates through a defect in the abdominal cavity. The occurrence of internal hernias due to a broad ligament defect is very rare and accounts for 4%-7% of cases of internal hernia. We present a case of a 71-year-old female who was previously healthy with no significant past medical or surgical history and who presented with symptoms of small bowel obstruction. Imaging with X-ray and computed tomography (CT) confirmed the diagnosis, but not the etiology. A decision was made to perform a laparoscopy to manage the obstruction, which revealed a healthy small bowel loop that herniated through a defect in the right broad ligament. Acute abdominal pain due to intestinal obstruction is a relatively common surgical emergency. Internal hernias are the consequence of the herniation of a bowel loop, most commonly the small bowel, through a peritoneal or mesenteric defect into a compartment in the abdominal and pelvic cavity, and they have a high mortality rate than can be higher than 50%. CT imaging is very useful in the diagnosis of internal hernias, although it may not always reveal the etiology. To facilitate wider recognition, broad ligament hernia should be in the differential diagnosis of internal hernias evident in the pelvis on CT imaging. Early recognition of small bowel obstruction caused by broad ligament internal hernia allows for prompt surgical management and vastly facilitates postoperative recovery. Although most surgeons opt for a laparotomy approach to manage such cases, a laparoscopic approach is feasible.
Sender and Receiver Lie Frequencies and Motives: Testing Predictions from Truth-Default Theory

ABSTRACT Lie frequency and motives were examined from the perspectives of senders and receivers. Participants (N = 294) were randomly assigned to either report on recent lies they told or on lies told to them by others. Based on truth-default theory, it was predicted that the frequency of reports of own lies told would be positively skewed, that most lies would be told by a relatively few prolific liars, and that people would report similar reasons for lying and being lied to. A key question is, do receivers report receiving fewer lies than senders reported telling? The results show that lies reported by senders and receivers did not differ in frequency. Senders, however, consider their own lies to be less important, less wrongful, and less hurtful compared to lies received.
Equivalent Circuit Model of a Pulse Planar Transformer and Endurance to Abrupt dv/dt

Wide-bandgap (WBG) semiconductor materials offer faster and more reliable power electronic components in electric energy conversion systems. However, their faster switching speed and abilities to operate at higher frequency than silicium devices have brought new challenges, such as electromagnetic interference (EMI) issues. In gate driver applications, EMI issues must be tackled given the close proximity between gate driver systems and WBG power modules. This article focuses on planar pulse transformers for gate drivers in high power applications (3.3 kV, 500 A SiC module). This article tries to give a standard procedure to design, then, simulate pulse transformers with their electrostatic shielding. First, a design guideline using Altium designer is proposed to respect the European standards. A method to extract the transformer design from Altium to Ansys is also proposed. Finally, a frequency analysis is discussed to use in Ansys simulations and parameters extraction. Tests have been performed to check the proposed transformer’s electromagnetic compatibility immunity under a 125 kV μs−1 common mode transient immunity test.
Probing Dark Current Random Telegraph Signal in a Small Pitch Vertically Pinned Photodiode CMOS Image Sensor After Proton Irradiation

The dark current degradation and dark current random telegraph signal (DC-RTS) after proton irradiation are studied in new scale silicon microvolumes by using a commercial CMOS image sensor. Results show that previously reported empirical models describing the displacement damage-induced degradations are still valid despite the 10–100 times smaller depletion volume used. In addition, no evidence of significant total ionizing dose effects is observed. Finally, the reduction of the fraction of RTS pixels detected and the fraction of multilevel RTS pixels is directly linked to the reduction in pixel volume.
CRAFTS: Configurable REST APIs For Triple Stores

Massive amounts of Linked Open Data are readily available to anyone who wants to use them. Unfortunately, Semantic Web technologies such as SPARQL and RDF remain unfamiliar to the majority of web developers, more used to REST APIs. This paper addresses the challenge of accessing Linked Open Data through REST APIs. Configurable REST APIs For Triple Stores (CRAFTS) is the tool devised for this purpose. CRAFTS allows knowledge engineers to configure REST APIs over multiple triple stores. CRAFTS automatically handles the translation of API calls into SPARQL queries, delivering results in JSON format. Web developers can then use a CRAFTS API to read and write Linked Open Data. The API of CRAFTS is uniform, domain-independent, and described with the OpenAPI specification. A reference implementation of CRAFTS is published in a GitHub repository, and a live test site is readily available since February 2021. CRAFTS is currently employed in eight different applications, with more than 2.4K users, and more than 260K API calls.
Structural changes in seismic activity before large earthquakes

We try to verify whether signi cant changes in the seismic activity are identi fiable prior to a main shock, by means of statistical tests for structural changes applied to earthquakes models. A panel of models is selected, ranging from zero-inflated Poisson model to temporal and spatio-temporal point processes.
Potassic Volcanism Induced by Mantle Upwelling Through a Slab Window: Evidence From Shear Wave Splitting Analyses in Central Java

To delineate the mantle flow fields in the vicinity of a previously proposed slab window and the possible roles that they may play in the formation of potassic volcanism in Central Java, we conduct shear wave splitting analyses using both local S and teleseismic XKS waves (including SKS, SKKS, and PKS) recorded by 121 onshore stations and two ocean bottom seismometers (OBSs). The XKS fast orientations from the OBSs are trench normal and in accord with previous subslab anisotropy measurements. In the eastern part of Central Java, the XKS and local S fast orientations from the onshore stations are mostly trench‐parallel; in contrast, in the western part of Central Java, the XKS fast orientations are trench‐normal while the local S measurements are spatially varying. The observations can be attributed to four flow systems including (a) subslab trench normal mantle flow in areas away from the trench which is entrained by the Australian Plate, (b) trench normal flow that goes into the mantle wedge from the subslab area through a slab window beneath the western part of the study area, (c) trench‐parallel subslab flow near the trench beneath the eastern part of the study area which is driven by slab‐rollback, and (d) dominantly trench‐parallel flow system in the mantle wedge reflecting the horizontal component of the escaped flow system through the slab window. We propose that the vertical component of the escaped flow is responsible for the formation of the potassic volcanoes in the adjacent oceanic area.
Dual-Band Bandstop Filtering Cable Design Using Defected Conductor Layer With Asymmetric Spiral Structure

In this article, we present a novel dual-band bandstop filtering cable by surrounding inner wire with asymmetric bridge-connected spiral-shaped defected structure on outer conductor. The simulation results demonstrate that the proposed dual-band bandstop filtering cable can be modeled by two parallel RLC resonance circuits in cascade and the performance can be easily adjusted by changing the structural parameters. The well-designed dual-band bandstop filtering cable can be fabricated by core wire surrounding with polytetrafluoroethylene (PTFE) dielectric layer and polyimide defected conductor layer with asymmetric bridge-connected spiral-shaped defected structures. The proposed filtering cable with ten asymmetric bridge-connected spiral-shaped defected resonators on defected conductor layer has a compact size of diameter 1.66 mm and length 200 mm, and its insertion loss in experimental results is greater than 20 dB at 0.88 and 1.3 GHz. Compared with the traditional microstrip bandstop filter, the proposed dual-band bandstop filtering cable can achieve better stopband and passband performance within more compact size. In essence, it is a cable replacement technology, which can improve electromagnetic compatibility (EMC) performance at system level and equipment level, and has the potential to be widely used in wireless system.
Sorption isotherms and moisture transfer properties of seven Central Africa hardwood species

ABSTRACT The aim of this article is to characterize the wood-water relationship and certain moisture transfer properties of Central African species for which very little data exists in the literature, i.e. Iroko, Padouk, Bibolo (Dibetou), Moabi, Doussié, Bilinga and Grenadilla. Moisture sorption isotherms were measured using the Dynamic Vapor Sorption method at 35°C. The Hailwood-Horrobin model was used to describe the sorption isotherm and the model parameters are given for each species. A rough estimation of the fiber saturation point could be made and is between 18.5% for Doussié and 26.5% for Bibolo. The water vapour diffusion coefficient in the radial direction of the wood was determined by the cup method at 35°C. Its value ranges from 1.72E-11 for Grenadilla to 1.71E-10 m2/s for Bibolo. It has been shown that the model proposed by Siau (1984) allows a relatively reliable estimation of the value of this parameter from wood density. The gas permeability was also measured on the same samples and ranged from 3.3E-19 m2 for Moabi to 3.78E-16 m2 for Bibolo. From these parameters, the apparent tortuosity and equivalent pore diameter for the mass flow were estimated for each species.
The Structural Origin of Chiroptical Properties in Perovskite Nanocrystals with Chiral Organic Ligands

The authors investigate how chiral ligands attached to perovskite nanocrystal (PNC) surfaces structurally distort the perovskite lattice. Chiral electro‐optical properties of the resulting PNCs are demonstrated through the fabrication of a circularly polarized light (CPL) detector with a discrimination of up to 14% between left‐ and right‐handed CPL. Both experimental and electronic‐structure‐based simulations are combined to provide insights into the interactions (both structural and electronic) between chiral organic ligands and PNCs. The major finding is a centro‐asymmetric distortion of the surface lattice that penetrates up to five atomic unit cells deep into the PNCs, which is the likely cause of the chiral‐optical properties. Spin‐polarized transport through chiral‐PNCs results from the chiral‐induced spin selectivity effect and amplifies the discrimination between left and right‐handed CPL as is experimentally demonstrated in the detectors.