bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiphase superconductivity at the interface between ultrathin FeTe islands and Bi2Te3
Authors: Tkáč V. , Vorobiov S. , Baloh P. , Vondráček M. , Springholz G. , Carva K. , Szabó P. , Hofmann Ph. , Honolka J.
Published: August 2024

FeTe monolayer islands situated on a topological insulator Bi2Te3 (0001) surface were recently reported to exhibit the opening of an energy gap below temperatures T ~ 6 K, which could be due to a superconducting phase transition. In this work, we present a magnetic field dependent transport study proving that this gap is indeed of superconducting origin. Upon cooling, several drops in resistance are observed in the temperature range between 6 K and 2 K, indicating multiple transitions. Using the Ginzburg-Landau theory, we show that the critical magnetic field of the dominant high-temperature transition at ~ 6 K is governed by orbital Cooper pair breaking in larger FeTe islands, large enough to exceed the superconductive coherence length $$\xi$$
ξ
. At smaller island sizes, transitions at lower temperatures < 6 K become more prominent, showing significantly increased critical fields dominated by paramagnetic pair breaking. The multiphase superconducting behaviour is in line with an observed wide distribution of FeTe islands width 5–100 nm and seems to reflect disorder effects at the interface to Bi2Te3. The proof of local superconductivity makes the FeTe interface to the topological insulator Bi2Te3 substrate a potential host of topological superconductivity.
Multi-pesticide residue screening, identification, and quantification analysis in various fruits and vegetables by UHPLC-Q Exactive HRMS
Authors: Wang Fengyi , Jiao Ying , Qiu Shiting , Han Mei , Hou Xue , He Guangyun , Qin Shudi
Published: August 2024

Qualitative screening and quantitative analysis of multi-pesticide residues in various fruits and vegetables by UHPLC-Q Exactive HRMS.
Dual-stimuli responsive theranostic agents based on small molecules
Authors: Xue Shan-Shan , Zhu Wanqi , Li Yuanyuan , Pan Wei , Li Na , Tang Bo
Published: August 2024

This Highlight summarizes the recent progress of dual-stimuli responsive theranostic agents based on small molecules.
Synthesis of a potassium capped terminal cobalt–oxido complex
Authors: Anferov Sophie W. , Krupinski Alexandra , Anderson John S.
Published: August 2024

An unusual example of a potassium capped terminal cobalt–oxido complex has been isolated and crystallographically characterized.
Electrochemical stability of biodegradable Zn–Cu alloys through machine-learning accelerated high-throughput discovery
Authors: Luo Kun , Liu Zhaorui , Yu Rui , Xu Tengfei , Legut Dominik , Yin Xing , Zhang Ruifeng
Published: August 2024

Using first-principles calculations and machine learning-accelerated evolutionary algorithms, the corrosion behaviour of the Zn–Cu alloys in pure water and Cl-containing solutions were explored by Pourbaix diagrams.
Molecular docking with conformer-dependent charges
Authors: Zhao Huixuan , Sun Lei , Zhang Depeng , Hu Xueping , Deng Weiqiao
Published: August 2024

We developed the MDCC method, a molecular docking method that combined conformational search with RESP charges. The MDCC method demonstrated high docking accuracy in the PDBbind core set and GPCR Dock 2021 competition.
PerQueue: managing complex and dynamic workflows
Authors: Sjølin Benjamin Heckscher , Hansen William Sandholt , Morin-Martinez Armando Antonio , Petersen Martin Hoffmann , Rieger Laura Hannemose , Vegge Tejs , García-Lastra Juan Maria , Castelli Ivano E.
Published: August 2024

Flexible and dynamic workflow manager with an emphasis on ease of use and powerful modular workflows.
The applications of Keggin-based metal–organic compounds in sensing and catalysis
Authors: Yang Mengle , Li Jiaxing , Hui Kaili , Ying Jun , Tian Aixiang
Published: August 2024

The Keggin-based metal-organic compounds show excellent sensing and catalytic properties.
Ion concentration polarization causes a nearly pore-length-independent conductance of nanopores
Authors: Cain DaVante , Cao Ethan , Vlassiouk Ivan , Schäffer Tilman E. , Siwy Zuzanna S.
Published: August 2024

The conductance and selectivity of low-aspect-ratio nanopores are almost independent of the length due to polarization effects controlled by the geometric and electrochemical properties of the whole (pore + reservoir) system.
Procyanidin B1 and p-coumaric acid from whole highland barley ameliorated HFD-induced impaired glucose tolerance via small intestinal barrier and hepatic glucose metabolism
Authors: Liu Zehua , Yang Yijie , Xu Yi , Zhang Zhaowan , Tang Ruoxin , Liu Jianshen , Jiang Hongxin , Zhao Renyong
Published: August 2024

Highland barley is a natural source for the development of phenolic compounds that exhibit potential in preventing type 2 diabetes, which is important for the agricultural and industrial utilization of highland barley.
Nitrophenylfurfural grafted amino functionalized silica nanoparticles for adsorptive removal of tartrazine dye from water
Authors: Shafqat Syed Salman , Zafar Bushra , Masood Syeda Amna , Shafqat Syed Rizwan , Khan Hafeez Ullah , Syed Asad , Bahkali Ali H. , Mutahir Sadaf , Khan Muhammad Asim , Xu Guobao , Zafar Muhammad Nadeem
Published: August 2024

Synthesis of novel nitrophenylfurfural grafted silica nanoparticles (NPF–SiNPs) having multifunctional properties is reported for removal of tartrazine dye.
Thiophene-based mesoporous covalent organic framework for efficient iodine vapor capture
Authors: You Chuanxue , Yao Yuxin , Qi Shengnan , Zhou Tianyu , Ren Xin , Ma Yunchao , Liu Chunbo
Published: August 2024

Two novel thiophene-based COFs were prepared for the adsorption of I2 vapor and the adsorption amounts of I2 were 4.67 and 2.47 g−1 respectively.
Mesoporous silica–amine beads from blast furnace slag for CO2 capture applications
Authors: Singh Baljeet , Kemell Marianna , Yliniemi Juho , Repo Timo
Published: August 2024

Designing industrial-relevant solid amine sorbents in beads/pellets/monoliths form with reduced cost and scaling up is important to improve CO2 capture at a large scale and deploy CO2 capture technologies worldwide.
Development and in vitro evaluation of ursolic acid-loaded poly(lactic-co-glycolic acid) nanoparticles in cholangiocarcinoma
Authors: Maphanao Pornpattra , Phothikul Yaowaret , Choodet Cherdpong , Puangmali Theerapong , Katewongsa Kanlaya , Pinlaor Somchai , Thanan Raynoo , Yordpratum Umaporn , Sakonsinsiri Chadamas
Published: August 2024

The ursolic acid-loaded poly(lactic-co-glycolic acid) nanoparticles, developed in this study, showed favorable physicochemical properties and have the potential to serve as a drug delivery strategy for enhancing cholangiocarcinoma therapy.
One-dimensional magnetic chains for methylene blue removal
Authors: Luo Cheng , Li Yan
Published: August 2024

One-dimensional magnetic chains modified with polydopamine and Ag nanoparticles act as a highly regenerable adsorbent for methylene blue removal.
Deboronative functionalization of alkylboron species via a radical-transfer strategy
Authors: Yue Fuyang , Li Mingxing , Yang Kangkang , Song Hongjian , Liu Yuxiu , Wang Qingmin
Published: August 2024

We describe a method for activating C–B bonds by nitrogen- or oxygen-radical transfer that is applicable to alkylboronic acids and esters.
A poly(binaphthyl-co-terphenyl quinuclidinium) anion exchange membrane with excellent alkaline stability and anion conductivity
Authors: Zhang Hongbo , He Xianying , Feng Hanhua , Li Cheng , Li Ming
Published: August 2024

Poly(aryl quinuclidinium) AEMs with improved anion conductivity and dimensional stability were prepared by introducing twisted structural units.
Synergistic effect of Ag-doped Mn3O4 and AgCl composite as a regenerable and high-performance catalyst for the oxygen reduction reaction
Authors: Yatheendran Anagha , Narayanan Aswathy M. , Babu Jeetu S. , Rajan Rahul , Sandhyarani N.
Published: August 2024

This work demonstrated the excellent ORR activity of Ag–Mn3O4 and AgCl–Ag:Mn3O4, highlighting the significant role of AgCl in enhancing the catalytic activity of Ag-doped Mn3O4 for DMFC application.
Enhancing the photoelectric performance of metal oxide semiconductors by introduction of dislocations
Authors: Zhang Haoyu , Gao Shuang , Wang Hongyang , Zhuo Fangping , Muhammad Qaisar K. , Fang Xufei , Rödel Jürgen , Frömling Till , Li Qi
Published: August 2024

The photocatalysis of hydrogen peroxide production with TiO2 or BaTiO3 is enhanced by dislocation engineering.
Mechanisms of Se(iv) incorporation in jarosite and its migration behavior during thermal aging
Authors: Tan Yi , Ji Shiyin , Wang Renren , Yan Zitong , Liu Shouye , Mou Zhiwei , Liu Yawen , Chen Guangyuan , Duan Tao , Zhu Lin
Published: August 2024

The adsorption of Se(iv) onto jarosite and its products during thermal aging.
Enhanced C–C coupling of Cu-based catalysts via zirconia-driven carbonate interaction for electrochemical CO2 reduction reaction
Authors: Kim Dayeon , Yun Hyewon , Kim Jiseon , Lee Chan Woo , Hwang Yun Jeong
Published: August 2024

The CuO/ZrOx interface catalysts enhance the current density for C2+ chemical production from electrochemical CO2 reduction reaction by forming zirconia–carbonate interaction and assisting CO2 supply to Cu.
Bioactivity and in vitro immunological studies of xenogeneic decellularized extracellular matrix scaffolds for implantable applications
Authors: Yu Qing , Gao Yuantao , Guo Jiqiang , Wang Xinyue , Gao Xiang , Zhao Yifan , Liu Yang , Wen Meiling , Zhang Xiangyu , An Meiwen
Published: August 2024

Decellularized scaffolds retain the main bioactive substances of the extracellular matrix, which can better promote matrix reconstruction at the defect site, and have great potential in repairing the morphology and function of defective tissues.
Numerical modeling and extensive analysis of an extremely efficient RbGeI3-based perovskite solar cell by incorporating a variety of ETL and HTL materials to enhance PV performance
Authors: Rahman Md. Mojahidur , Ali Md. Hasan , Haque Md. Dulal , Touhidul Islam Abu Zafor Md.
Published: August 2024

The immense demand for electrical energy motivated us to manipulate solar energy by means of conversion through solar cells (SCs).
A Survey on Automatic Face Recognition Using Side‐View Face Images
Authors: Santemiz Pinar , Spreeuwers Luuk J. , Veldhuis Raymond N. J.
Published: August 2024

Face recognition from side‐view positions poses a considerable challenge in automatic face recognition tasks. Pose variation up to the side‐view is an issue of difference in appearance and visibility since only one eye is visible at the side‐view poses. Traditionally overlooked, recent advancements in deep learning have brought side‐view poses to the forefront of research attention. This survey comprehensively investigates methods addressing pose variations up to side‐view and categorizes research efforts into feature‐based, image‐based, and set‐based pose handling. Unlike existing surveys addressing pose variations, our emphasis is specifically on extreme poses. We report numerous promising innovations in each category and contemplate the utilization and challenges associated with side‐view. Furthermore, we introduce current datasets and benchmarks, conduct performance evaluations across diverse methods, and explore their unique constraints. Notably, while feature‐based methods currently stand as the state‐of‐the‐art, our observations suggest that cross‐dataset evaluations, attempted by only a few researchers, produce worse results. Consequently, the challenge of matching arbitrary poses in uncontrolled settings persists.
Efficient turbo product code decoder with Build‐In SRAM‐based transpose memory
Authors: Luo Jianjun , Xu Xiaoyu , Shen Yifan , Huang Boming , Wang Wenkui
Published: August 2024

Turbo product codes (TPCs) have been widely used for bit error correction in high‐speed applications such as data storage. This letter introduces an efficient hard‐input hard‐output iterating TPC decoder module. A transpose memory utilizing static random access memory (SRAM) is integrated into the decoder to achieve a low hardware overhead. The transpose memory, based on an 8T SRAM bit‐cell, supports both horizontal (row‐wise), and vertical (column‐wise) read/write operations. It is prototyped under a 28nm high‐k/metal gate stack process with bit‐cell size of 0.582 µm2. This specialized SRAM significantly reduces the hardware overhead when compared with a register‐array‐based transpose memory without significant throughput loss. A field programmable gate array (FPGA) evaluation platform is utilized to emulate the TPC decoder module, and the maximum decoder throughput is up to 6.49 Gbps at 250 MHz.
Study on the burial depth calculation method for AC submarine cable based on the surface optical fiber monitoring temperature
Authors: Li Qishun , Hao Yanpeng , Zhang Peng , Tan Haotian , Yang Lin
Published: August 2024

The partial exposure of submarine cable may cause damage to the metal sheath, which will affect its safe and stable operation. Existing detection methods for burial depth of submarine cables are difficult to implement and have a long detection period. In this contribution, a method is proposed to calculate the burial depth of alternating current (AC) submarine cable based on surface optical fiber monitoring temperature. According to the functional relationship between the transient temperature rise of submarine cable outer sheath above the ambient temperature and the burial depth (in the IEC‐60853 standard), the burial depth of submarine cables is calculated. The optical fiber temperature, electric load and meteorological temperature data are used for 30 consecutive days in September 2020 to calculate the change of burial depth of AC 500 kV oil‐filled submarine cable. The calculation results are basically consistent with the detection conclusion of side‐scan sonar, which shows that the method can accurately calculate the burial depth of submarine cables and locate the exposed position. This provides a theoretical basis for the intelligent operation and maintenance of AC submarine cables.
CF‐Net: Cross fusion network for semantic segmentation
Authors: Wang Baoyu , Shen Aihong , Dong Xu , Cao Pingping
Published: August 2024

Semantic segmentation is a fundamental computer vision task, and deep learning methods have been successfully applied to this field. However, target morphology continues to exhibit the incomplete prediction problem, which is attributable to the low feature utilisation and the insufficiency of spatial location information. This paper proposes a novel cross fusion network with unit attention mechanism (CF‐Net) for semantic segmentation. The two hallmarks of the framework are the usage of a multi‐scale fusion module and the unit attention mechanism. Multi‐scale fusion module can integrate multi‐branch outputs with different receptive fields, which obtain fine‐grained target details and visual contextual information. The cross fusion network is optimised with a unit attention mechanism to fuse intermediate features, which enables the acquisition of more accurate and effective spatial location information while maintaining consistency in feature space. The experimental results demonstrate that the proposed CF‐Net outperforms favourably comparable with other existing methods on the CamVid, Cityscapes, and PASCAL VOC 2012 databases, which also verifies the Effectiveness and reliability of our method.
Active elimination of DC bias current of a SiC based dual active bridge by controlling the dead time period
Authors: Perumal Ganesan , Hatua Kamalesh , Rajagopal Manju
Published: August 2024

Dual active bridge (DAB) is an isolated DC‐DC converter gaining wider attention in power electronics applications. The high frequency (HF) transformer is an integral part of the DAB which is prone to saturation. Silicon carbide (SiC) based DAB are generally preferred for highly efficient power conversions, calling for an extremely low DC resistance of the transformer. This aggravates the DC bias issue significantly. The DC bias current generally flows due to the mismatch in static and transient switching of active devices, leading to eventual saturation of the transformer. This paper proposes an active method to precisely control the dead time of the devices (8–100 ns) without sacrificing the voltage utilization of the converter. This method does not require a sophisticated DC offset current measurement technique. The field programmable gate array (FPGA) based control platform on the gate driver side executes the proposed algorithm. The proposed control is experimentally verified in a 5 kW SiC based converter. The control implementation methodology is discussed with the support of necessary experimental results.
Searching for new cataclysmic variables in the Chandra Source Catalog
Authors: Galiullin Ilkham , Rodriguez Antonio C. , El-Badry Kareem , Szkody Paula , Anand Abhijeet , van Roestel Jan , Sibgatullin Askar , Dodon Vladislav , Tyrin Nikita , Caiazzo Ilaria , Graham Matthew J. , Laher Russ R. , Kulkarni Shrinivas R. , Prince Thomas A. , Riddle Reed , Vanderbosch Zachary P. , Wold Avery
Published: August 2024

Aims. Cataclysmic variables (CVs) are compact binary systems in which a white dwarf accretes matter from a Roche-lobe-filling companion star. For this study we searched for new CVs in the Milky Way in the Chandra Source Catalog v2.0, cross-matched with Gaia Data Release 3 (DR3).

Methods. We identified new CV candidates by combining X-ray and optical data in a color-color diagram called the X-ray main sequence. We used two different cuts in this diagram to compile pure and optically variable samples of CV candidates. We undertook optical spectroscopic follow-up observations with the Keck and Palomar Observatories to confirm the nature of these sources.

Results. We assembled a sample of 25 887 Galactic X-ray sources and found 14 new CV candidates. Seven objects show X-ray and/or optical variability. All sources show X-ray luminosity in the 1029 − 1032 erg s−1 range, and their X-ray spectra can be approximated by a power-law model with photon indices in the Γ ∼ 1 − 3 range or an optically thin thermal emission model in the kT ∼ 1 − 70 keV range. We spectroscopically confirmed four CVs, discovering two new polars, one low accretion rate polar and a WZ Sge-like low accretion rate CV. X-ray and optical properties of the other nine objects suggest that they are also CVs (likely magnetic or dwarf novae), and one other object could be an eclipsing binary, but revealing their true nature requires further observations.

Conclusions. These results show that a joint X-ray and optical analysis can be a powerful tool for finding new CVs in large X-ray and optical catalogs. X-ray observations such as those by Chandra are particularly efficient at discovering magnetic and low accretion rate CVs, which could be missed by purely optical surveys.
Fuzzy logic-based energy management in IoT-Enabled buildings
Authors: Imamguluyev Rahib , Imanova Tunzala , Nabiyeva Camala , Poladova Ulviyya , Amirova Rasmiyya
Published: August 2024

The growth of the Internet of Things (IoT) has brought about the need for effi-cient energy management in buildings. This challenge has led to the development of various energy management systems that utilize different approaches. In this article, a fuzzy logic-based approach is proposed for energy management in IoT-enabled buildings. The system utilizes data from various sensors and devices to determine the optimal energy consumption levels for different areas of the build-ing. Fuzzy logic is used to analyze the data and make decisions about energy us-age, taking into account various factors such as occupancy levels, weather condi-tions, and user preferences. Simulation studies have shown that the fuzzy logic-based system can significantly reduce energy consumption while maintaining us-er comfort levels. The system can be implemented in various contexts, such as commercial, residential, or industrial buildings. The proposed system has the po-tential to improve energy efficiency and reduce costs, contributing to a more sus-tainable and environmentally-friendly future. Overall, the fuzzy logic-based ener-gy management system is a promising solution to the challenges of energy man-agement in IoT-enabled buildings.
Optimizing Aluminum Metal Matrix Composites with SiC Nanoparticles using Taguchi-ANN Approach for Enhanced Mechanical Performance
Authors: Al Ansari Mohammed Saleh , Karthikeyan K.M.B. , Kaliappan Seeniappan , Yogeswari S. , Maranan Ramya , Meshram Pawan Devidas
Published: August 2024

The current research explores the optimization of Silicon Carbide particle-reinforced aluminum metal matrix composites to improve mechanical properties. An integrated method based on Taguchi Design of Experiment and Artificial Neural Network has been adopted, with the novel approach to explore the optimal combination of parameters. The obtained best set includes the minimum load of 30 N, the minimum speed of 100 rpm, and the larger composition of 9% SiC particle. The designed L9 orthogonal experimental plan was used to conduct the experiments, and the findings explicitly indicated the significant impacts on the reduction of specific wear rate and friction force . Furthermore, the Artificial Neural Network trained through the backpropagation algorithm estimated all the percentages correctly to the ideal combination, equivalent to 100% in predicting the target responses. Moreover, the confirmation experience has validated the optimal combination, as it approaches specific wear rate of 0.0019, and friction force was 10.5. These results highlight the role of the integrated research approach for assessing the optimal parameters of aluminum MMCs to the required mechanical properties. Consequently, the current study highlights the importance of experimental plan integration and predictive modeling for optimizing materials, and it applies to various engineering fields where wear resistance and friction performance are critical.
Optimizing Surface Roughness in Turning of Al7072 with nano particles of Carbon Metal Matrix Composite using Taguchi Analysis and ANN Prediction
Authors: Al Ansari Mohammed Saleh , Kaliappan Seeniappan , Bhargavi P. , Dehankar Shital P. , Mothilal T. , Maranan Ramya
Published: August 2024

This research centers on optimizing the machining process of Al7072 alloy reinforced with carbon nanoparticles. While surface roughness is the primary research focus, it is one of the most critical parameters in the manufacturing of aerospace components. According to the Taguchi design of experiments tool, the structured experimental framework has been used to learn the precise consequences of Cutting speed (Cs) , Feed rate (Fr), and Depth of Cut (DoC) on surface roughness outcomes. Using cutting-edge algorithms, particularly the Artificial Neural Network, significantly increases these predictive abilities. It hence forecasts the surface roughness achieved with various machining outcomes. According to the initial results, the surface roughness response is extremely dependent on the machining outcomes. The signal-to-noise ratio conducted the statistical analysis to discover the best parameter equation that would allow for the best surface quality and machining economy. Furthermore, the ANN-based model has been created, demonstrating a high level of accuracy in providing feed response. This might be used to optimize the machining process. The results recommend improving the accessibility of machining and increasing aerospace equipment’s quality of service. Thus, the process presented in this research might improve the public’s communication with respect to machining and machining economics.
Sustainable Banking Practices: Impact, challenges and opportunities
Authors: Sharma Shruti , Gupta Chandan , Khanna Malhotra Rupa , Upreti Himani
Published: August 2024

Sustainable banking practices have increased prominently in the recent times as financial institutions realises the importance of integrating ESGs into their businesses. This paper aims to examine various sustainable banking practices that includes sustainable lending, green finance, responsible banking and also examines their contribution towards sustainable development and financial stability. The paper aims to insights the effectiveness of sustainable banking practices in promoting environmental sustainability, social inclusion and long term financial resilience.
Impact of Climate Fluctuations on Paddy Yield: A Case Study in Kollengode Village, India
Authors: Sreeni K.R. , Vasudevan Nirmala
Published: August 2024

Paddy cultivation, a vital source of rice for billions globally, faces numerous challenges, including water scarcity, pest and disease outbreaks, soil degradation, and changing weather patterns. This study investigates the factors contributing to declining paddy yield in Kollengode village, located in Kerala State, south India, to inform strategies for ensuring resilient rice production in vulnerable regions. Over the past two years, Kollengode has witnessed a two-week delay in monsoon arrival, prompting adjustments in traditional agricultural practices, such as a shift in seed sowing time. The study examines how factors like rainfall patterns, temperature variations, and agricultural practices influence paddy yield decline. Through analysis of climate data, soil properties, and farmer interviews, the findings reveal a significant decrease in rainfall during the crucial growing season, likely contributing to the observed yield decline. Furthermore, rising minimum temperatures suggest a potential decrease in diurnal variation, which could—based on existing literature—impact rice plant respiration and yield potential. This research highlights the vulnerability of agricultural practices in the region to changing weather patterns and emphasises the need for adapting cultivation strategies to ensure long-term sustainability. The findings can inform local water management practices and guide the development of climate-resilient agricultural solutions for paddy cultivation in Kerala.
CFD Investigation for Exact and Estimated Heat Flux with Identification Error of Brake Pads
Authors: Agrawal Vikash K. , Patil Lalit N. , Patil Yashraj M. , Sonekar Mahesh M. , Patil Atul A. , Patil Pramod D.
Published: August 2024

The article elucidates the principles that govern heat calculations to feed a disc as well as pad, which are presented as dynamic heat calculations which account both distances as well as time and incorporate heat production dependency. This energy formulation are designed to take into consideration variables that include brakes duration, vehicle speed, brake assembly designs and parameters, disc brake blade resources, concentration changes, pads, along with contact pressure uniformity. The mathematical answer to the problem involves the density of flux progression method. Based to the results, it is critical to efficiently distribute the temperature generated by friction among the disc and pad into the surroundings. This ensures that the friction coefficient remains as high as possible, preventing temperature rises and vaporization of brake fluid due to overheating. The investigation aims to identify the optimal brake pad, and a reduced modal model is employed to address the substantial size of matrices resulting from the brake pad’s three-dimensional geometry. The determination of heat flow application, essential for recognizing spatial changes irrespective of heat diffusion, plays a significant role in this study.
Investigation on the Effect of Fatty Acids Composition on the Fuel Properties of Biodiesel
Authors: B S Nithyananda , Prakash G.V. Naveen , K B Vinay , S A Mohankrishna , Ankegowda Naveen
Published: August 2024

The fatty acids compositions of biodiesel strongly influence its properties. The fatty acid compositions are dependent on feedstock type and are affected by climatic conditions and type of soil. The composition and quality of biodiesel feedstock drives the fuel properties. Therefore, it is necessary to evaluate the influence of fatty acid compositions of simarouba, pongamia and composite biodiesel on their fuel properties. The fatty acid compositions are determined by Gas Chromatography (GC) method. The fuel properties are determined using standard methods. Simarouba oil which is rich in saturated fatty acids and pongamia oil which is rich in unsaturated fatty acids are mixed in equal volume. This results in new composite oil having fatty acids composition different from its parent oils. It is found that composite biodiesel has shared fuel properties from its parent oils. Thus, mixing of two or more oils from different feedstocks will lead to new composite oil enriched with properties, which will help in reducing the dependence on particular feedstock for biodiesel.
Bibliometric analysis on Characterization of Sustainable lightweight Self Compacting Concrete with Recycled Aggregate
Authors: Renukuntla Anu , Murthi Pa
Published: August 2024

The construction industry produces an enormous quantity of waste that may be recovered and expended as recycled aggregates to replace or supplement natural aggregates. A more sustainable construction sector is a result of recycling since it decreases waste and energy usage. Because of natural aggregates are in short supply and have a related carbon footprint, recycled materials are being evaluated more and more for use in concrete. Using recycled aggregates in concrete has environmental advantages, however the physical characteristics of the aggregates causes it to perform poorly. Lightweight aggregate concrete encompasses of water, lightweight aggregates (LA), and cement. Full lightweight concrete uses just light aggregates (coarse and fine) and sand lightweight concrete uses either all or part of common sand for the fine aggregate. A combination of low strength, large water absorption, low apparent density, and great porosity characterizes the lightweight aggregate used in this kind of concrete. There are three distinct kinds of LA based on where they come from, for example, expanded slag ball, fly ash ceramisite, cinder, light sand, and other industrial waste products that undergo processing to become lightweight aggregate. Artificial LA is manufactured using local resources such as expanded perlite, and clay ceramisite, whereas natural porous stone is produced using natural processes. Examples of natural aggregate include pumice, light sand, and volcanic cinder. Lightweight aggregates may be categorized into two types according to the size of the particles namely lightweight coarse aggregate and lightweight fine aggregate, often known as sand lightweight. In this research, we have used a scientometric approach to assess the most recent research advancements (1975-2023) to assess their contribution. There is a substantial number of publications (651), as well as a significant number of research papers (421). Furthermore, there are a lot of authors (1791) who are engaged in this field of work. The output of the study is largely influenced by international collaboration nearly 17.18%. Each work obtains, on average 19.2 citations, demonstrating its significant influence in this expanding field. For aspiring researchers who are interested in conducting research in this area, this paper is an invaluable resource.
Assessment of Engineering Characteristics for Black Cotton Soil with Addition of Layered Stone Dust
Authors: Divya Jyothi B. , Prasanna SVSNDL
Published: August 2024

Soil is the base for any civil engineering structures. One of the most significant challenges that geotechnical engineers encounter is building any form of foundation over weak or soft soil. Because high-rise buildings could suffer severe damage, it is imperative to enhance the load bearing capacity of such soils. A number of techniques have been employed to amplify the bearing capacity of certain types of soils, including soil stabilisation using substances like plastic, cement, fly ash, sawdust, rice husk ash, lime, and so forth. Such materials were incorporated into the black cotton soil (BC) in varying concentrations to improve its properties. In the current study, stone dust (SD) is supplemented in a layered pattern with BC soil. The engineering properties were evaluated experimentally using three tests: consolidation, falling head permeability, and swell pressure. Comparing the results to conventional black cotton soil, it was found that adding stone dust in a layered pattern enhanced permeability by 70% and consolidation by 50%. The findings show that the swelling features of black cotton soil can be reduced by incorporation of stone dust and the component layers of the such soil can be used as a material for backfill in construction projects.
The Urgency of Implementing Carbon Tax on Jakarta’s Air Quality (Tax Incentives as Moderation Variable)
Authors: Rosalie Thalia , Riani Yanti , Meiryani
Published: August 2024

On September 4, 2023, Jakarta was declared the sixth most polluted major city, causing many people to suffer from acute respiratory infections (ARIs). The purpose of this research is to evaluate the importance of implementing a carbon tax for air quality in Jakarta, drawing on research journals from developed countries (Finland and Sweden) that have successfully applied a carbon tax for approximately 30 years, and to discuss the significance of tax incentives in the application of a carbon tax. Data analysis was conducted using a systematic review method by comparing and summarizing the results of primary research studies to present more comprehensive and balanced facts (Siswanto, 2010). Data presentation from presenting data of previous studies on the impact of carbon tax implementation on other countries to arrive at a conclusion that can address the research problem at hand. The results of this research show that a carbon tax can be an effective policy in efforts to mitigate carbon emissions in both developed and developing countries around the world, including Indonesia. Therefore, the implementation of a carbon tax should be supported by additional policies like tax incentives to ease the challenges of its implementation.
Research on Carbon Emission Accounting Methods and Characteristics of Automobile Manufacturing
Authors: Kong Chuiying , Men Feng
Published: August 2024

This article examines the methods used to calculate direct carbon emissions from energy consumption, fugitive carbon emissions from manufacturing processes, and fugitive carbon emissions from exhaust gas treatment. It also establishes carbon emission boundaries and focuses on the process of producing and manufacturing automobiles. This method is used to calculate carbon emissions based on the real state of enterprises. According to the research, energy consumption during the production and manufacturing of automobiles results in the largest direct carbon emissions, with electricity consumption making up roughly 75% of energy consumption; The production operation area is the one with the largest percentage of carbon emissions, with the painting workshop contributing the most, at approximately 40%; Seasonal influences and production variations have an impact on emission characteristics.
The diffusion effect of environmental policies on the improvement of ESG behavior of new energy enterprises based on prospect theory: From the perspective of complex network game
Authors: Wang Jiayu
Published: August 2024

The ESG concept is a key benchmark for balancing corporate social responsibility with economic benefits. Although some companies claim to take ESG seriously, there have been no substantial improvements in practice. This study explores the actual effects of government tax incentives and environmental regulations on the ESG behavior of corporate entities. The complex network game theory and prospect theory are used to build a network game model for the promotion and diffusion of ESG behavior within enterprises, and the enhancement and diffusion of ESG behavior among new energy enterprises are compared and analyzed by Matlab simulation. The results show that tax incentives significantly promote the spread of improved ESG behavior across corporate networks. However, when environmental regulation is strengthened at the same time as tax incentives, firms face higher improvement costs, leading to a decline in the proportion of enhanced ESG behaviour. Policies that combine tax incentives and environmental regulation can be more effective in driving substantial improvements in corporate ESG behavior.
Study on Risk Zoning and Countermeasures of Hazardous Chemicals Leakage for Environmental Protection in Daya Bay
Authors: Shi Jing , Ren Lili , Li Luning , Tian Yujun
Published: August 2024

Daya Bay Petrochemical Industrial Zone is one of the seven national petrochemical industry bases. Large areas of hazardous chemicals leakage will not only cause huge economic losses, but also will seriously pollute the Marine environment and damage the Marine ecosystem. It is of great practical significance to maintain the social stability, economic development and ecological benefits of Huizhou and its neighboring regions to carry out the study of hazardous chemicals leakage and put forward targeted prevention and control countermeasures. Based on the analysis of the key risk points of hazardous chemical leakage, according to the current standard, the environmental protection targets in Daya Bay are assigned the sensitive index and the pollution probability is predicted. The damage consequence analysis was carried out one by one, and the spatial distribution map of pollution risk for environmental protection targets was formed. According to the spatial distribution characteristics of pollution risk of environmental protection targets, the existing problems in the construction of emergency response capacity of port and ship pollution accidents are analyzed, and the countermeasures and suggestions for promoting the PPP(Public-Private Partnerships), improving the legal and regulatory system and regional linkage mechanism, and strengthening the construction of emergency team are put forward.
Réalités éphémères
Authors: Ritz Jean-Philippe , de Lannurien Anne
Published: August 2024

These “RÉALITÉS ÉPHÉMÈRES” are not just the result of a photographer’s work; they are the fruit of a process of reflection that gradually took shape over the course of the photographs taken. It began with an aesthetic search and ended with a questioning of the consequences of grafting a multifactorial parergon, both natural and human, onto a simple advertising poster. Why, or in what way are these factors more questioning than others about our hyperconsumerist tendencies? What impact do these RÉALITÉS ÉPHÉMÈRES have on our economic, social, philosophical or artistic awareness of the world we live in? That’s what Jean-Philippe Ritz is trying to answer.
Current-induced Hall effect
Authors: Szeftel Jacob , Lévy Jean-Claude
Published: August 2024

The properties of the current-induced Hall effect are analysed, for which the static magnetic field, supplied by an external source in the traditional experiment, is created by the current itself. The special experimental setup, needed for its observation, is described. It is shown how, combined with the skin effect, it could give access to the concentration of conduction electrons in superconductors. Besides this experiment might permit to dodge shortcomings, ensueing from the Meissner effect and limiting severely the sensitivity of the conventional Hall voltage measurement.
Lifetime attributable risk of cancer incidence in whole-body 18F-Fluorodeoxyglucose PET/CT scans via 3rd order polynomial approach
Authors: Murat H. , Kechik M.M.A. , Chew M. T. , Kamal I. , Said M. A. , Ibahim M.J. , Karim M. K. A.
Published: August 2024

The advent of PET/CT examinations has revolutionized cancer treatment, offering greater precision in diagnosis. Nonetheless, the ionizing radiation exposure during the examination could cause a cancer risk. Hence, this study aimed to evaluate the radiation dose and radiation-induced risk associated of whole-body PET/CT scan that includes the 18F-FDG tracers. For this retrospective study, 40 participants were studied, with an even number of males and females. The average age and weight of the participants were 53.77 ± 15.78 years and 66.59 ± 16.94 kg respectively, and they were administered 424.64 ± 121.19 MBq of 18F-FDG before the PET/CT commenced. The IDAC-Dose 2.1 program was employed to calculate the absorbed dose and effective dose in organs such as the bladder, brain, lung, kidneys, colon, red bone marrow (RBM), stomach, liver, and thyroid. The potential risks of cancer were evaluated using the lifetime attributable risk (LAR) via a 3rd order polynomial approach based on the information provided in the Biological Effects of Ionizing Radiation (BEIR) VII report. The effective dose was 20.1 ± 7.9 mSv, and the ratio of E to administered activity is 1.612 × 10-2 mSv/MBq, which is in line with the ICRP standard. The study found that the average incidence of cancer among men and women was 7 and 8 cases per 100,000 examinations, respectively, with effective dose between 3.2 mSv to 27.3 mSv. In summary, the risk of cancer associated with current whole-body 18F-FDG PET/CT examinations is low, but it is essential to mitigate radiation exposure during these examinations and utilize suitable techniques to prevent stochastic effects from low-dose radiation exposure.
Unraveling the Magnesium Connection: The Cincinnati PPG's Pioneering Work on Mineral Metabolism in Diabetes and Pregnancy
Authors: Mimouni Francis B. , Khoury Jane C. , Ehrlich Shelley , Rosen Barak , Sheffer-Mimouni Galit , Miodovnik Menachem
Published: August 2024

This study aimed to review the Cincinnati PPG's contribution to the understanding and treatment of neonatal hypocalcemia (NHC) in infants of diabetic mothers. This study is a retrospective review of the NIH-funded Program Project Grant (PPG) works related to mineral metabolism in type 1 diabetic pregnant women. The PPG investigators first described the epidemiology and the additional risk factors for NHC, namely prematurity and neonatal asphyxia, but also recognized the independent effect of maternal diabetes mellitus. They explored the link between NHC and maternal/neonatal hypomagnesemia. They finally conducted a randomized control trial of prevention of NHC by early administration of magnesium sulfate soon after birth to prevent NHC. The PPG in its various phases has allowed to reveal the important role that magnesium plays in the regulation of mineral metabolism in pregnancy and in particular the pregnancy complicated by pregestational diabetes.

Key Points
Patient Selection, Outcome, and Unhappy Patients in Rhinoplasty
Authors: Parmar Priscilla , Mills Heide , Saleh Hesham
Published: August 2024

This article discusses the process of patient selection for rhinoplasties and the many different psychological aspects that come into play. It is important to identify the warning signs and apply a multidisciplinary approach to the surgeons practice, in collaboration with specialist rhinoplasty psychologists. Patients' motivations and surgeon factors are also discussed, as this can lead to unhappy and unsatisfactory postoperative outcomes. Potential reasons for adverse outcomes throughout the pre- and postoperative periods are also described. Finally, a brief guide is provided to reduce the risks of an unhappy patient.
Evaluation of Risk Factors for Early Insufficiency after Bronchial Sleeve Resections
Authors: Levchenko Evgeny , Shabinskaya Viktoriia , Levchenko Nikita , Mikhnin Alexander , Mamontov Oleg , Ergnyan Stepan
Published: August 2024

Background Bronchoplastic resections are now widely used as a surgical treatment for resectable central lung cancer. However, bronchial dehiscence is one of the most life-threatening complications, making it important to identify its risk factors to separate patients who require more attention during the postoperative period.

Methods The data of 285 patients who underwent bronchoplasty from 2006 to 2021 were retrospectively reviewed. We collected demographic characteristics, history of neoadjuvant therapy, preoperative assessment, perioperative outcomes, and postoperative complications to investigate different variables as risk factors for bronchial dehiscence by univariate and multivariate analyses.

Results Bronchial dehiscence was diagnosed in 12 patients (4.2%) with a mean presentation on postoperative day 10 (range: 1–24 days). By multivariate analysis, current smoking (odds ratio [OR]: 4.8, 95% confidence interval [CI]: 1.1–20.1, p = 0.032), chronic obstructive pulmonary disease (COPD; OR: 6.5, 95% CI: 1.2–33.8, p = 0.027), bronchoplastic right lower lobectomy (OR: 12.9, 95% CI: 2.4–69.7, p = 0.003), and upper sleeve bilobectomy with segmentectomy S6 by performing an anastomosis between right main bronchus (RMB) and bronchus of basal pyramid (BP) (OR: 30.4, 95% CI: 3.4–268.1, p = 0.002) were confirmed as relevant risk factors for developing bronchial dehiscence.

Conclusion Current smoking, COPD, bronchoplastic right lower lobe, and upper l with segmentectomy S6 by performing an anastomosis between RMB and bronchus of BP were identified with the occurrence of bronchial dehiscence after sleeve resection.
Revisiting the history of autism before Kanner and Asperger: a tribute to Grunya Sukhareva
Authors: Pozzi Cristina Maria , Riesgo Rudimar dos Santos , Assumpção Junior Francisco Baptista
Published: August 2024

Almost two decades before Kanner's and Asperger's works, the original paper by child psychiatrist Grunya Efimovna Sukhareva had already been written. It was published in 1926 by Sukhareva in a German scientific journal of psychiatry and neurology, with a detailed description of children who presented clinical conditions whose characteristics and evolution closely resemble autism, according to current criteria. In the present historical note, we intend to present Sukhareva's pioneering work and retrieve the meaning of her original contribution.
Role of Neutrophils in the Development of Steatotic Liver Disease
Authors: Choi You-Jin , Kim Yeonsoo , Hwang Seonghwan
Published: August 2024

This review explores the biological aspects of neutrophils, their contributions to the development of steatotic liver disease, and their potential as therapeutic targets for the disease. Although alcohol-associated and metabolic dysfunction-associated liver diseases originate from distinct etiological factors, the two diseases frequently share excessive lipid accumulation as a common contributor to their pathogenesis, thereby classifying them as types of steatotic liver disease. Dysregulated lipid deposition in the liver induces hepatic injury, triggering the activation of the innate immunity, partially through neutrophil recruitment. Traditionally recognized for their role in microbial clearance, neutrophils have recently garnered attention for their involvement in sterile inflammation, a pivotal component of steatotic liver disease pathogenesis. In conclusion, technological innovations, including single-cell RNA sequencing, have gradually disclosed the existence of various neutrophil subsets; however, how the distinct subsets of neutrophil population contribute differentially to the development of steatotic liver disease remains unclear.
Advances in the application of non-contact temperature measurement technology for aero-engine blade
Authors: Cui Ying , Qiu Kongxin , Gao Shan , Chen Liwei , Jiang Jing , Niu Yi , Wang Chao
Published: August 2024

The advancement of the aviation sector has made the temperature measurement technology for aero-engine turbine blades essential for maintaining the engine’s safe and steady performance. The non-contact temperature measurement technology is a trending research focus in turbine blade temperature measurement due to its benefits of not requiring direct touch with the object being measured and its suitability for high-temperature and high-speed conditions. This paper provides a concise overview of various key non-contact temperature measurement methods for aero-engines, such as fluorescence temperature measurement, fiber-optic temperature measurement, and radiation temperature measurement. It discusses the temperature measurement principle, technical characteristics, and the current research status both domestically and internationally. Based on this, this Review further discusses the main challenges faced by the non-contact temperature measurement technology and the development trend of the future.