bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of sampling depth on CO$$_{2}$$ flux estimates
Authors: Azevedo Cátia C. , González-Dávila Melchor , Santana-Casiano J. Magdalena , González-Santana David , Caldeira Rui M. A.
Published: August 2024

The exchange of trace gases between the atmosphere and the ocean plays a key role in the Earth’s climate. Fluxes at the air-sea interface are affected mainly by wind blowing over the ocean and seawater temperature and salinity changes. This study aimed to quantify the use of CO$$_{2}$$

2

partial pressure (pCO$$_{2}$$

2

) measurements at different depths (1, 5, and 10 m) in ocean surface layers to determine CO$$_{2}$$

2

fluxes (FCO$$_{2}$$

2

) and to investigate the impacts of wind-sheltered and wind-exposed regions on the carbon budget. Vertical profiles of temperature, salinity, and pCO$$_{2}$$

2

were considered during a daily cycle. pCO$$_{2}$$

2

profiles exhibited relatively high values during sunny hours, associated with relatively high sea temperatures. However, the largest FCO$$_{2}$$

2

corresponded with higher wind speeds. Estimated fluxes between measurements at 1 and 10 m depths decreased by 71% in the sheltered region and 44% in the exposed region. According to the SOCAT dataset, at a depth of 5 m, the Atlantic basin emits approximately 0.29 Tg month$$^{-1}$$

-
1

of CO$$_{2}$$

2

to the atmosphere; nevertheless, our estimates suggest that FCO$$_{2}$$

2

at the surface is 12.02 Tg month$$^{-1}$$

-
1

, which is 97.6% greater than that at 5 m depth. Therefore, future studies should consider sampling depth to adequately estimate the FCO$$_{2}$$

2

.
Phenotypic diversity in qualitative and quantitative traits for selection of high yield potential field pea genotypes
Authors: Azam Mohammad Golam , Sarker Umakanta , Hossain Mohammad Amir , Mahabubul Alam A. K. M. , Islam Mohammad Rafiqul , Hossain Nazmul , Alamri Saud
Published: August 2024

Field pea (Pisum sativum L.) needs improvement to increase productivity due to its high price and demand. However, the incidence of powdery mildew (PM) disease limits its production. This study aimed to analyze the diversity of qualitative and quantitative traits against powdery mildew resistance by utilizing cluster and principal component analysis to explore PM resistance high-yield potential field peas. Shannon–Weaver's diversity index (Hʹ) displayed high intra-genotype diversity for quantitative and qualitative aspects. Heterogeneity was identified for resistance against powdery mildew infections. Eighty-five genotypes were divided into five groups using Mohalanobis generalized distance (D2) statistics. The highest inter-cluster D2 value was observed between clusters 2 and 3 (11.89) while the lowest value was found between clusters 3 and 4 (2.06). Most of the genotypes had noticeable differences, so these could be employed in a crossing scheme. Twelve genotypes were extremely resistant, 29 genotypes were resistant, 25 genotypes were moderately resistant, 18 genotypes were fairly susceptible, and 1 genotype was susceptible to powdery mildew disease. Among 29 resistant genotypes, BFP77, BFP74, BFP63, BFP62, BFP43, and BFP80 were high yielders and, could be used directly and/or transferred through hybridization to high-yielding disease-susceptible genotypes. Among the 25 moderately resistant genotypes, BFP78, BFP45, BFP79, and BFP48 were found to be high yielders. In principal component analysis (PCA), the first four PCs with Eigen values > 1 accounted for 88.4% variability for quantitative traits. Clustering sorted genotypes into five groups, where groups 1 to 5 assembled 37, 28, 1, 8, and 11 genotypes, respectively. Genotypes of cluster 4 were identified as high yielders with its attributes. Pearson correlation significantly and positively correlated across all traits except for PM. This variation suggested that there is a mechanism to select promising genotypes for field pea breeding. Considering all features, BFP78, BFP77, BFP74, BFP63, BFP62, BFP45, BFP79, and BFP80 could be preferred as high yielders and PM resistance owing to longer pod lengths, seeds per pod and pods per plant.
Modeling and predicting meat yield and growth performance using morphological features of narrow-clawed crayfish with machine learning techniques
Authors: Gültepe Yasemin , Berber Selçuk , Gültepe Nejdet
Published: August 2024

In recent studies, artificial intelligence and machine learning methods give higher accuracy than other prediction methods in large data sets with complex structures. Instead of statistical methods, artificial intelligence, and machine learning are used due to the difficulty of constructing mathematical models in multi-parameter and multivariate problems. In this study, predictions of length–weight relationships and meat productivity were generated by machine learning models using measurement data of male and female crayfish in the narrow-clawed crayfish population living in Apolyont Lake. The data set was created using the growth performance and morphometric characters from 1416 crayfish in different years to determine the length–weight relationship and length-meat yield. Statistical methods, artificial intelligence, and machine learning are used due to the difficulty of constructing mathematical models in multi-parameter and multivariate problems. The analysis results show that most models designed as an alternative to traditional estimation methods in future planning studies in sustainable fisheries, aquaculture, and natural sources management are valid for machine learning and artificial intelligence. Seven different machine learning algorithms were applied to the data set and the length–weight relationships and length-meat yields were evaluated for both male and female individuals. Support vector regression (SVR) has achieved the best prediction performance accuracy with 0.996 and 0.992 values for the length–weight of males and females, with 0.996 and 0.995 values for the length-meat yield of males and females. The results showed that the SVR outperforms the others for all scenarios regarding the accuracy, sensitivity, and specificity metrics.
Tuning the ground state of cuprate superconducting thin films by nanofaceted substrates
Authors: Mirarchi Giovanni , Arpaia Riccardo , Wahlberg Eric , Bauch Thilo , Kalaboukhov Alexei , Caprara Sergio , Di Castro Carlo , Grilli Marco , Lombardi Floriana , Seibold Götz
Published: August 2024

Anisotropic transport properties have been assessed in a number of cuprate superconductors, providing evidence for a nematic state. We have recently shown that in ultra-thin YBa2Cu3O7−δ films, where nematicity is induced via strain engineering, there is a suppression of charge density wave scattering along the orthorhombic a-axis and a concomitant enhancement of strange metal behavior along the b-axis. Here we develop a microscopic model, that is based on the strong interaction between the substrate facets and the thin film, to account for the unconventional phenomenology. Based on the atomic force microscopy imaging of the substrates’ surface, the model is able to predict the absence (presence) of nematicity and the resulting transport properties in films grown on SrTiO3 (MgO) substrates. Our result paves the way to new tuning capabilities of the ground state of high-temperature superconductors by substrate engineering.
[18F]FSPG-PET provides an early marker of radiotherapy response in head and neck squamous cell cancer
Authors: Sambasivan Khrishanthne , Tyrrell Will E. , Farooq Rizwan , Mynerich Jenasee , Edwards Richard S. , Tanc Muhammet , Urbano Teresa Guerrero , Witney Timothy H.
Published: August 2024

The ability to image early treatment response to radiotherapy in head and neck squamous cell carcinoma (HNSCC) will enable the identification of radioresistant tumor volumes suitable for treatment intensification. Here, we propose the system xc− radiotracer (4S)-4-(3-[18F]fluoropropyl)-L-glutamate ([18F]FSPG) as a non-invasive method to monitor radiation response in HNSCC. We assessed temporal changes in cell death, antioxidant status, and [18F]FSPG retention following a single dose of 10 Gy irradiation in FaDU HNSCC cells. Next, using a fractionated course of radiotherapy, we assessed tumor volume changes and performed [18F]FSPG-PET imaging in FaDU-bearing mouse xenografts, followed by ex vivo response assessment. In cells, 10 Gy irradiation reduced [18F]FSPG retention, coinciding with the induction of apoptosis and the production of reactive oxygen species. In vivo, [18F]FSPG tumor retention was halved seven days after the start of treatment, which preceded radiotherapy-induced tumor shrinkage, thereby confirming [18F]FSPG-PET as an early and sensitive marker of radiation response.
Evidence for ~12-h ultradian gene programs in humans
Authors: Zhu Bokai , Liu Silvia , David Natalie L. , Dion William , Doshi Nandini K. , Siegel Lauren B. , Amorim Tânia , Andrews Rosemary E. , Kumar G. V. Naveen , Li Hanwen , Irfan Saad , Pesaresi Tristan , Sharma Ankit X. , Sun Michelle , Fazeli Pouneh K. , Steinhauser Matthew L.
Published: August 2024

Mice and many marine organisms exhibit ~12-h ultradian rhythms, however, direct evidence of ~12-h ultradian rhythms in humans is lacking. Here, we performed prospective, temporal transcriptome profiling of peripheral white blood cells from three healthy humans. All three participants independently exhibited robust ~12-h transcriptional rhythms in molecular programs involved in RNA and protein metabolism, with strong homology to circatidal gene programs previously identified in Cnidarian marine species.
Advances in microneedle technology for biomedical detection
Authors: Zhang Xinmei , Wang Yuemin , He Xinyu , Yang Yan , Chen Xingyu , Li Jianshu
Published: August 2024

This review discusses the application of microneedle technology in biomedical detection, emphasizing the advantages of painless and minimally invasive testing, and points out the future prospects in healthcare.
A chemical reaction entity recognition method based on a natural language data augmentation strategy
Authors: Zhang Xiaowen , Li Yang , Li Chaoyi , Zhu Jingyuan , Gan Zhiqiang , Wang Lei , Sun Xiaofei , You Hengzhi
Published: August 2024

Impressive applications of artificial intelligence in the field of chemical reaction prediction heavily depend on abundant reliable datasets.
Photoredox cross-dehydrogenative C(sp2)–C(sp3) coupling of heteroarenes with secondary amines through 1,5-HAT
Authors: Srinivasu Vinjamuri , Pattanaik Swadhin , Sureshkumar Devarajulu
Published: August 2024

Here, we report a new approach that unlocks a sustainable method for rapidly constructing complex heterocyclics via cross-dehydrogenative C−C coupling of protected amines and nitrogen-containing heterocycles.
Osmolyte-induced conformational stabilization of a hydrophobic polymer
Authors: Nanavare Pooja , Sarkar Soham , Jena Abhijit Bijay , Chakrabarti Rajarshi
Published: August 2024

We use equilibrium simulations and umbrella sampling to dissect the underlying mechanism of osmolyte-induced conformational stability of a hydrophobic polymer, unveiling a remarkable osmolyte-dependent conformational stabilization of the polymer.
Superacidity in Zr(iv)/Ce(iii) MOF-808: unlocking biodiesel production from microalgae lipids at reduced temperatures
Authors: Qian Lei , Cheng Jun , Xin Kai , Mao Yuxiang , Tu Jiacan , Yang Weijuan
Published: August 2024

Elucidation of a unique sequence for superacidic protons in the Zr(iv)/Ce(iii) metal–organic framework-808.
Visible light-induced cobalt-catalyzed 1,3-diphosphination of alkenes
Authors: Shan Wenlong , Wang Zemin , Gao Chenxia , Li Xiaowei , Zhuang Wenli , Liu Ruihua , Shi Cong , Qin Hongyun , Li Xiangqian , Shi Dayong
Published: August 2024

A novel cobalt-catalyzed radical 1,3-diphosphination of alkenes was developed, which enables straightforward access to 1,3-diphosphine skeleton compounds under mild conditions.
Opening pathways for the conversion of woody biomass into sustainable aviation fuel via catalytic fast pyrolysis and hydrotreating
Authors: Griffin Michael B. , Iisa Kristiina , Dutta Abhijit , Chen Xiaolin , Wrasman Cody J. , Mukarakate Calvin , Yung Matthew M. , Nimlos Mark R. , Tuxworth Luke , Baucherel Xavier , Rowland Steven M. , Habas Susan E.
Published: August 2024

Integrated experimental campaigns provide detailed insight into the production of sustainable aviation fuel from woody biomass via catalytic fast pyrolysis and hydrotreating.
Self-limiting electrospray deposition (SLED) of porous polyimide coatings as effective lithium-ion battery separator membranes
Authors: Green-Warren Robert A. , Fassler Andrew L. , Juhl Abigail , McAllister Noah M. , Huth Andrew , Arkhipov Maxim , Grzenda Michael J. , Pejman S. Rahman , Durstock Michael F. , Singer Jonathan P.
Published: August 2024

An exploded view of a Li-ion coin cell with an electrosprayed polyimide separator deposited onto an NMC electrode.
Photoredox-catalyzed C(sp2)–H trifluoromethylation of 3-methylene-isoindolin-1-ones under metal-free conditions
Authors: Zhou Yuan-Xia , Liu Feng-Qian , Wang Guo-Qin , Yang Dan , Han Pan , Jing Lin-Hai
Published: August 2024

A facile synthetic method for direct C(sp2)–H bond trifluoromethylation of 3-methylene-isoindolin-1-ones under visible-light-induced metal-free conditions is presented.
Conversion of atmospheric CO2 catalyzed by thiolate-based ionic liquids under mild conditions: efficient synthesis of 2-oxazolidinones
Authors: Wu Jiakai , Niu Junping , Liu Hui , Xie Ruijun , Zhu Ning
Published: August 2024

Thiolate-based ionic liquids effectively catalyze CO2 carboxylation and cyclization with propargylic amines under atmospheric pressure, are easily regenerated, and their high performance is due to the synergistic S and N sites in CO2 activation.
Synthesis of aryl enopyranones directly from glycals and aromatic halides to access 2-deoxy-β-C-aryl glycosides
Authors: Zargar Irshad Ahmad , Rasool Bisma , Bappa S. K. , Mukherjee Debaraj
Published: August 2024

An efficient synthesis of aryl enopyranones via an oxidative Heck-type coupling reaction between ether protected d/l-glycals and different aryl halides is developed. The synthesized aryl enopyranones were further transformed into medicinally important 2-deoxy-β-aryl-C-glycosides.
Cobalt-promoted Zn encapsulation within silicalite-1 for oxidative propane dehydrogenation with CO2 by microwave catalysis at low temperature
Authors: Nie Fangui , Sun Hongyang , Li Tianyi , You Zhimin , Zhou Jicheng , Xu Wentao
Published: August 2024

CO2-ODHP is an attractive process that can simultaneously produce propylene and reduce CO2. Microwave catalysis significantly improves propane dehydrogenation performance at low temperatures with high conversion and excellent selectivity.
Development and characterization of three-dimensional antibacterial nanocomposite sponges of chitosan, silver nanoparticles and halloysite nanotubes
Authors: Hernández-Rangel A. , Silva-Bermudez P. , Almaguer-Flores A. , García V. I. , Esparza R. , Luna-Bárcenas G. , Velasquillo C.
Published: August 2024

We have developed novel three-dimensional scaffolds composed of chitosan, halloysite nanotubes and silver nanoparticles with enhanced antimicrobial activity and fibroblast cell compatibility for their potential use in wound dressing applications.
Synthesis of novel piperazine-based bis(thiazole)(1,3,4-thiadiazole) hybrids as anti-cancer agents through caspase-dependent apoptosis
Authors: Mohamed Doaa M. , Kheder Nabila A. , Sharaky Marwa , Nafie Mohamed S. , Dawood Kamal M. , Abbas Ashraf A.
Published: August 2024

Compound 9i as a novel piperazine-based bis(thiazoles) and bis(thiadiazole) derivative was synthesized and characterized as potent EGFR inhibitor with promising cytotoxicity against HCT-116 cells through apoptosis.
Correction: Spinel cobalt-based binary metal oxides as emerging materials for energy harvesting devices: synthesis, characterization and synchrotron radiation-enabled investigation
Authors: Alshanableh Abdelelah , Ocak Yusuf Selim , Aljawrneh Bashar , Albiss Borhan Aldeen , Shawakfeh Khaled , Khan Latif U. , Harfouche Messaoud , Alrousan Saja
Published: August 2024

Correction for ‘Spinel cobalt-based binary metal oxides as emerging materials for energy harvesting devices: synthesis, characterization and synchrotron radiation-enabled investigation’ by Abdelelah Alshanableh et al., RSC Adv., 2024, 14, 21180–21189, https://doi.org/10.1039/D4RA03462G.
A comprehensive pre-treatment strategy evaluation of ligno-hemicellulosic biomass to enhance biogas potential in the anaerobic digestion process
Authors: Prasad Rajesh Kumar , Sharma Anjali , Mazumder Pranab Behari , Dhussa Anil
Published: August 2024

Effective pretreatment of ligno-hemicellulosic biomass has emerged as a pre-requisite for its efficient conversion into biogas through the anaerobic digestion (AD) process.
A dynamically stable self-assembled CoFe (oxy)hydroxide-based nanocatalyst with boosted electrocatalytic performance for the oxygen-evolution reaction
Authors: Zhu Ming , Xu Hengyue , Dai Jie , Guan Daqin , Hu Zhiwei , She Sixuan , Chen Chien-Te , Ran Ran , Zhou Wei , Shao Zongping
Published: August 2024

A self-assembled CoFe (oxy)hydroxide nanocatalyst exhibits high mass activity and dynamic stability and overcomes the inherent defects of CoFe LDH for OER catalysis.
Evolution of high spin state single-atom catalyst active centers in Na–O2 batteries
Authors: Li Jing , Mao Aixiang , Li Jia-hui , Liu Honglai , Lian Cheng
Published: August 2024

Compared to O2@MN4, O2@MN3 with high spin state favors side-on mode, which enhances the coupling between 3dxy orbital of metal and O2, hence causes the evolution of active center from MN3 to (OMO)N3, and increases the performance of Na–O2 batteries.
Flexible and transparent gold network electrodes on fluorinated graphene
Authors: Lee Yuna , Ji Eunji , Kim Min Jung , Lee Gwan-Hyoung
Published: August 2024

Flexible, transparent gold electrodes on fluorinated graphene achieve 80.2% transparency, 1.66 Ω □−1 sheet resistance, and excellent durability under bending.
Recent advances in rechargeable aqueous magnesium-ion batteries
Authors: Ye Xiaoman , Xiao Xuemei , Wu Zhijing , Zhan Yi , Wu Xin , Liu Sheng
Published: August 2024

This work provides a comprehensive overview of recent advancements in mild aqueous Mg-ion batteries, covering their significant components such as electrolytes, cathode materials, intercalation anode materials, Mg metal anodes, and the full cell.
Coaxial bioprinting of a stentable and endothelialized human coronary artery-sized in vitro model
Authors: Ahmad Ashfaq , Kim Seon-Jin , Jeong Yun-Jin , Khan Muhammad Soban , Park Jinsoo , Lee Dong-Weon , Lee Changho , Choi Yeong-Jin , Yi Hee-Gyeong
Published: August 2024

In this study, the in-bath coaxial printing technique was used to recapitulate the diameter and wall thickness of a human coronary artery. The resulting tubular structure was cultured using pumpless perfusion and exhibited stentable properties.
Heat-stimulated lifetime-controllable encapsulation for transient electronics
Authors: Gwon Hyukjoon , Lee Seungae
Published: August 2024

Life-control of transient electronics is enabled by applying a polymer/fatty acid composite film as the encapsulating material. Polymeric encapsulating materials developed can be degraded by mild thermal triggers without toxic products.
Photovoltage junction memtransistor for optoelectronic in-memory computing
Authors: Li Xueming , Wang Sujuan , Yang Yani , Xu Shankun , Bao Xueyan , zhao Lei , Liu Xueting , Pan Zhidong , Yang Yujue , Su Shichen , Huo Nengjie
Published: August 2024

The ZnO/WSe2 memory device exhibits optoelectronic switching behavior, allowing for laser pulse-induced memory and voltage pulse-induced erasing, which represents a significant advancement in optoelectronic in-memory computing.
Electrochemical hydrogen generation by a four-coordinate square-planar Ni(ii) complex with an N2P2-type ligand
Authors: Miyake Hidenori , Hirasawa Satomi , Uno Yurika , Nakao Kenichi , Kato Takuma , Wasada-Tsutsui Yuko , Hara Yoshikuni , Ozawa Tomohiro , Inomata Tomohiko , Masuda Hideki
Published: August 2024

Electrochemical and DFT studies on electrocatalytic hydrogen production in Ni(ii) complexes of N2P2-type ligands with/without amino group showed that the amino group plays a role in increasing basicity of pyridyl N atom as well as proton capturing.
Frequency regulation controller for multi‐area interconnected power system
Authors: Malek Sajjad , Khodabakhshian Amin , Hooshmand Rahmat‐Allah
Published: August 2024

By increasing the number of electric vehicles (EVs) to achieve a less carbon environment, not only they consume power from the grid to be charged, but also do they deliver power to the grid, and this can play a significant role in load frequency control. However, EVs take part in frequency regulation based on their state of charge (SoC) which will cause uncertainties. In order to manage these uncertainties, EV aggregator (EVA) concept has been introduced. The EV owner participates in the demand response program provided by the EVA arbitrarily considering her/his requirements. Accordingly, EVA calculates the up and down power reserve for the power system operator. Following any frequency deviation, EVA sends the proper commands to each EV to consume or to inject power to the system. There are also communication delays between different parts, uncertainties, and non‐linearities that existed in the power system. To overcome these issues, this study proposes a new robust load frequency controller based on feedback theory and artificial neural network which is designed through the non‐linear multi‐machine power system. Simulation results on IEEE 39‐bus power system show that the proposed controller regulates frequency more desirably in comparison with other methods.
Swarm‐intelligence‐based coordinated control of electric heatings for voltage stabilization with zero communication burden
Authors: Qi Qi , Guo Haobo , Yang Xueying , Zhang Deying , Ai Xin , Qi Bing , Fu Yu , Li Yue
Published: August 2024

The movement towards electrification is entailing deep changes in power systems. On the demand side, the adoption of electric heating (EH) has grown rapidly in recent years. To eliminate the voltage fluctuations caused by the random switching‐on/‐off behaviors of EHs in some application scenes with special‐power‐line in low voltage distribution networks (LVDNs), a swarm‐intelligence‐based coordinated control approach of EHs for voltage stabilization with zero communication burden while guaranteeing the users’ thermal comforts is researched. A novel bird‐perch‐on‐branch (BPB) ‐based swarm intelligence theory is proposed, which reveals the mapping relation between local observations and global states. On this theoretical basis, a multi‐agent reinforcement learning (MARL) framework is developed for the coordinated dispatch of EHs, where the deep‐Q‐network (DQN) algorithm is adopted to learn and generate the optimal control policy for each EH. The implementation of the proposed MADQN‐BPB approach is described based on the principle of centralized‐training and decentralized‐execution. Comparative control performances of MADQN‐BPB with a commercially available approach, and the global optimal solution are evaluated. Simulation results verify the capability of MADQN‐BPB in voltage stabilization with zero communication burden. Its control performance is close to that of the global optimal solution, and is scalable to the variations of environment.
Enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagram
Authors: Giesen Loo Erik , Corbally Robert , Feely Lewis , O'Sullivan Andrew
Published: August 2024

The ability to understand the underlying fundamentals of traffic flow behaviour facilitates improved planning and decision‐making for road operators. This paper presents an overview of the various models which can be used to describe the interaction between the different parameters governing traffic flows. 5‐years of measured data from Ireland's M50 motorway are used to demonstrate the application of traffic flow theory using real data, and a detailed investigation of factors affecting the fundamental traffic behaviour is presented. The road capacity is shown to be impacted by different traffic behaviour during morning and evening‐peak periods, during dry vs. wet weather conditions and between lanes on the approach to junctions. It is demonstrated that the mean vehicle length is an important factor to consider when using traffic flow models. A novel 3‐dimensional fundamental diagram model linking mean vehicle speed, mean vehicle length, and density is introduced which enhances capacity estimation and illustrates the importance of considering vehicle length when using the fundamental diagram to interpret traffic flows and estimate the capacity of the motorway.
Confronting sparse Gaia DR3 photometry with TESS for a sample of around 60 000 OBAF-type pulsators
Authors: Hey Daniel , Aerts Conny
Published: August 2024

Context. The Gaia mission has delivered hundreds of thousands of variable star light curves in multiple wavelengths. Recent work demonstrates that these light curves can be used to identify (non-)radial pulsations in OBAF-type stars, despite their irregular cadence and low light curve precision, of the order of a few millimagnitudes. With the considerably more precise TESS photometry, we revisited these candidate pulsators to conclusively ascertain the nature of their variability.

Aims. We seek to re-classify the Gaia light curves with the first two years of TESS photometry for a sample of 58 970 p- and g-mode pulsators, encompassing γ Dor, δ Scuti, slowly pulsating B, and β Cep variables. From the TESS data, we seek to assess the quality of Gaia’s classification of non-radial pulsators, which is based on sparse, years-long light curves of millimagnitude precision. We also supply four new catalogues containing the confirmed pulsators, along with their dominant and secondary pulsation frequencies, the number of independent mode frequencies, and a ranking according to their usefulness for future asteroseismic ensemble analysis.

Methods. We first analysed the TESS light curves independent of their Gaia classification by pre-whitening all dominant pulsation modes down to a 1% false alarm probability. Using this, in combination with a feature-based random forest classifier, we identified different variability types across the sample.

Results. We find that the Gaia photometry is exceptionally accurate for detecting the dominant and secondary frequencies, reaching approximately 80% accuracy in frequency for p- and g-mode pulsators. The majority of Gaia classifications are consistent with the classifications from the TESS data, illustrating the power of the low-cadence Gaia photometry for pulsation studies. We find that the sample of g-mode pulsators forms a continuous group of variable stars along the main sequence across B, A, and F spectral types, implying that the mode excitation mechanisms for all these pulsators need to be updated with improved physics. Finally, we provide a rank-ordered table of pulsators according to their asteroseismic potential for follow-up studies, based on the number of sectors they have been observed in, their classification probability, and the number of independent modes found in the TESS light curves from the nominal mission.

Conclusions. Our catalogue offers a major increase in the number of confirmed g-mode pulsators with an identified dominant mode suitable for follow-up TESS ensemble asteroseismology of such stars.
A Comparative Analysis of ANN and taguchi for Enhancing Predictive modelling and optimisation for Al-Base Metal Matrix Composites reinforced with nanoparticles of SiC
Authors: Malladi Avinash , Mothilal T. , Kaliappan Seeniappan , Polisetty Lava Kumar , Muthukannan M. , Maranan Ramya
Published: August 2024

In this work, a detailed research of wear resistance and frictional behavior improvement in the metal matrix composite of aluminum-based Metal Matrix Composite was performed. Experimentally, Al 7072 alloy composites reinforced with SiC were taken for the fabrication process through stir casting method. The dry sliding wear test was performed and the factors L, S and C were varied from their minimum and maximum values and studied the effects on Sw of specific wear rate, and FF of friction force subsequently. Taguchi Design of Experiments Taguchi DoE provided a systematic way to explore the input parameter space and brought the optimal combinations as L=40N, S=30rpm, and C=9% to reduce minimum Sw and FF. In addition, Artificial Neural Network ANN model was created for the purpose of predicting the responses without doing experiments. A 10 hidden layer neuron ANN model results 100% accuracy through which the Sw and FF were calculated. Finally, Validation of optimal model result was also happened during with the experiments outcomes of the Taguchi model. The ANN model, linear regression plot, and other parameters showed good competency in terms of the degree of accuracy. Through this, the experimental research and model validation process provides good work which predicts the wear resistance and friction behavior for MMCs.
An Insight on Artificial Intelligence (AI) and Internet of things (IOT) driven Hydroponics farming
Authors: Bhandari Nisha , Agarwal Rashi , Bhandari Narendra
Published: August 2024

The nation’s economy and prosperity are substantially impacted by agriculture as food is the necessity for human beings. The aim of this study is to solves the issue like shortage of quality foods especially horticultural crops that are essential for our healthy lifestyle. The practices of modern farming that includes soil-less cultivation can be an alternate way to overcome the problems that farmers are facing in traditional way execution of insightful hydroponics system that uses Artificial Intelligence (AI) and Internet of Things (IoT). Factors like pH of nutrient solution, CO2, light, temperature, relative humidity, Electrical Conductivity (EC) can be monitored on daily basis using advance sensors in hydroponic system for efficient utilization of our precious natural resources that leads to sustainable agriculture to meet out the future demand of agriculture commodities.
Data Analytics in Smart Tourism Design: A review paper
Authors: Pande Lata , Sengupta Santoshi
Published: August 2024

The tourism industries today have adjusted to a rapidly shifting landscape and increased competition. "Smart tourism" is a word used to describe the present phase of tourist development that has been impacted by the advancement of information technologies and is emerging as a viable strategy for adjusting to the changing market conditions. In the age of digital revolution, big data has become increasingly important in influencing both new players in the tourism sector and how people travel throughout the world. With the use of big data, all of these businesses can forecast traveler demand, improve decision-making, manage information flows and customer interactions, and deliver top-most service more effectively and efficiently. These days, it's thought that design is essential to the success of tourist sites and enterprises. This conceptual paper synthesizes the past literature and gives an overview of how data analytics has been used in smart tourism.
Social support and academic support as predictors of well-being among Indian and International university students
Authors: Beri Nimisha , Thakur Kanika
Published: August 2024

This paper researched upon the cross-connection between social support, academic support, and well-being among a diverse sample of 190 university students, comprising 64 international and 126 Indian students. Investigating how interpersonal connections involving emotional support and educational assistance intersect, the research aims to shed light on the impact of these factors on individuals' psychological and emotional states of these vertos. It covers a crucial gap in existing literature by exploring the alliance between social support and academic success, recognizing their joint impact on well-being. Understanding the mutual linkage between these elements can provide valuable insight into how social support and academic support influence the well-being of crosscultural students to further establish the development of interventions and support mechanisms. The findings revealed a positive correlation between social support and well-being, indicating that higher levels of social support are associated with improved overall well-being for both Indian and international students. Similarly, academic support demonstrated a significant positive relationship with well-being, emphasising the crucial role of educational resources and assistance in fostering a positive mental and emotional state among students. Notably, the study unveiled minor cultural disparities highlighting the similar experiences of Indian and international students. The results of regression analysis further suggest that while social support is a significant predictor of well-being, academic support is not an efficient predictor and thus, better initiatives should be taken by the relevant organisations with respect to creating an upsurge in the social support levels.
RAY Evaluation: A Study on Shimla Slums
Authors: Sharma Bharti , Mandal Adhirath
Published: August 2024

Slums are a topic of much research. While architects see it as a problem with design and construction materials, some it as an issue with infrastructural accessibility and security of tenure. Slums, according to policy analysts, are a result of a lack of incentives and rules. Shimla being the State capital major tourist attraction, GoHP envisioned Shimla to be Slum free city by 2022. In pursuance of vision of Slum Free India, Rajiv Awas Yojana (RAY) was launched in June 2011. RAY envisages two steps implementation strategy i.e. preparation of Slum Free City Plan of Action (SFCPoA) and preparation of projects for selected for slum. The proportion of slum population has been rising constantly therefore the present study is an attempt to analyse the living condition of the people in these slums in terms of housing conditions, land occupancy, availability of physical and social infrastructure. The main objective of the manuscript was to evaluate various policies/schemes and approaches adopted by Government for slum improvement and to understand the issues and problems concerning slums. The primary focus is to study the ongoing Government housing schemes in the slums of Shimla. For this, a detailed study with focus on the slums of Shimla was conducted. Among the existing slums the ones with ongoing government schemes/policy work were shortlisted. Prior to the conduct of main field work, a reci survey was conducted to shortlist the case studies; which also provided inputs for the preparation of the report. In Shimla, there are two ongoing government schemes; RAY and Ashiana Housing. For this paper focus was on Krishna Nagar slum under RAY. Most of the study is based on a field survey. Based on a basic random sampling technique, 10% of the homes in slum area was chosen. The purpose of the questionnaire's design was to gather comprehensive data about each family member.
Thiazolidine derivatives and their pharmacological actions
Authors: Jain Amrita , Kumar Sahu Sanjeev
Published: August 2024

Heterocyclic compounds are the backbone of medicinal chemistry as they gave a prominent number of drugs in the clinical market. Thiazolidine, a five membered heterocyclic compound, possess multiple pharmacological activities viz. anti-microbial, anti-diabetic, anti-cancer, anti-inflammatory, analgesic, anti-convulsant and anti-HIV. Various derivatives of thiazolidine nucleus have been synthesized and screened for these pharmacological activities. The present review summarizes some of these studies that have been reported in the last two decades.
Enhancing Soil Bioremediation: Microbial Composting Strategies for the Degradation of Chlorpyrifos Ethyl in Agricultural Soils
Authors: Nguyen Lam Thanh , Nguyen Tam Bang Kieu , Trung Le Duc , Thuong Pham Hoang , Duong Do Vinh , Tran Thanh
Published: August 2024

The study investigates the decomposition of Chlorpyrifos Ethyl (CE) in tea-growing soils using Biomix under varied conditions, aiming to enhance the safety of agricultural products. Biomix 1 demonstrated a significant capability for degrading CE, particularly at higher temperatures and an optimal pH of 6. It showcased higher microbial density for lignindecomposing organisms at 4.68×105 CFU/g for cellulose decomposition, 3.6×105 CFU/g for hemicellulose, and 2.5×105 CFU/g for lignin, indicating robust biodegradation potential. An intriguing outcome was Biomix 2’s improved performance with nitrogen supplementation, reaching over 96% degradation efficiency for CE at a concentration of 150ppm. Temperature fluctuations within the composting bins pointed to the thermophilic nature of the degrading microbes, with an initial increase to 35°C and subsequent stabilization, suggesting a vigorous decomposition phase followed by a plateau due to substrate depletion. These findings indicate that microbial composting at optimized moisture (60%) and pH levels can significantly degrade CE, with a higher degradation rate observed at 37°C compared to 25°C. Biomix amendments and maintained conditions reflect the practical application potential, aligning with the common agricultural CE concentrations of 120-150ppm. This study underlines the viability of using microbial composting as a sustainable and effective strategy for the bioremediation of pesticide-contaminated agricultural soils, with promising implications for environmental safety and public health.
Experimental Investigation of Randomly Distributed Carbon Fibers in Concrete Beams
Authors: Bellary Veena , Khartode Bhagyashree , Shewale Manisha , Arangi Shobha Rani , Shinde Nitin
Published: August 2024

Fiber Reinforced Concrete (FRC) has gained recognition as a highly impact construction material due to its enhanced durability and superior mechanical properties. This research focuses on the incorporation of carbon fibers into cementitious matrices to enhance the composites’ toughness, tensile strength, and resistance to cracking deformation. Carbon fibers, noted for their exceptional strength-to-weight ratio and lightweight characteristics, have garnered considerable interest across multiple industries. This study conducts comprehensive assessments of the compressive, tensile, and flexural strengths to evaluate the mechanical properties of carbon fiber reinforced concrete (CFRC). The results demonstrate a significant enhancement in the strength characteristics of the composites with the addition of carbon fibers. In particular, there are notable improvements in flexural strength. The study also examines the impact of varying fiber lengths and concentrations on the performance of CFRC, providing valuable insights into the optimal fiber parameters needed to achieve maximum mechanical properties. These findings underscore the potential of CFRC as a viable alternative to conventional concrete reinforcements, offering improved durability and performance for construction applications.
Research and suggestions on the grid-connected operation management policy of new energy in Hunan Province
Authors: Jie Sheng , Kun Zhang , Ding Wang , Kaili Yang , Kela Liao , Guangming Zhu , Xinrui Yao
Published: August 2024

Large-scale new energy access to the power grid will cause a series of problems such as the decrease of system frequency and voltage strength, affecting the safe and stable operation of the power grid. The paper analyzes the impact of new energy access to Hunan power grid, reviews the relevant policies of new energy grid-connected operation and management issued by Hunan, analyzes the problems existing in the current Hunan new energy grid-connected operation and management mode, and puts forward measures and suggestions to optimize the grid-connected operation and management in order to provide reference for promoting the high-quality development of new energy.
Research on the Impact of Steel Energy Conservation Technology Diffusion on Enterprises' Participation in Carbon Trading
Authors: Zhang Yuzhuo , Wang Chengjie , Zheng Haifeng , Wu Peng
Published: August 2024

In the process of steel production, the use of high temperature and high pressure smelting technology, continuous casting and rolling technology, waste heat recovery technology, can effectively reduce energy consumption and reduce carbon emissions. At present, China's carbon trading only includes power generation industry, but high-intensive industries such as steel have been considered to be included in the carbon market. By the use of energy-saving technology to reduce carbon emissions, steel enterprises participate in the carbon trading market, can realize the value of carbon assets. Based on the advanced energy saving technology in the steel industry, this paper studies the influence of technology diffusion on the participation of steel enterprises in carbon trading. The results show that the stock steel mills choose the technical transformation under the loose quota allocation, and the new technology application of the incremental steel mills under the tightened quota allocation. In the early stage of the operation of the carbon market, loose quotas should be implemented to realize the technical transformation and energy efficiency improvement of the stock steel plants, and the quota can be gradually tightened with the maturity of the market operation.
Research on the User experience characteristics and service function enhancement of Greenways in Small and Medium sized cities ——Taking Ma'anshan City, Anhui Province as an Example
Authors: Zhang Shuping
Published: August 2024

The surrounding leisure and fitness boom spawned by the epidemic has made the urban greenway, which has been committed to expanding the leisure activity space of community residents and enriching the forms of activities, attracted much attention again. At present, greenway, as a linear space activity carrier integrating leisure, entertainment and fitness, will play an important role in extending the fitness and leisure distance of residents and meeting the demands of urban residents in physical, psychological, cultural, safety and technology repeatedly wasted by the epidemic. This paper takes the representative central circular greenway in Maanshan city, Anhui Province as an case， through the field research, using SPASS social statistics software analysis, understand the greenway user experience characteristics and satisfaction, and gives the concrete feasible promotion countermeasures,It is of great practical guiding significance to the greenway construction planning and the improvement of service function in small and medium-sized cities in the post-epidemic era.
A brief discussion on the role of data standardization in regional centralized control construction on the refined management of wind power production
Authors: Zhang Ying , Jin Weiwei , Li Zhiyong , Pan Wenbiao
Published: August 2024

Based on the main functions of the wind farm regional centralized control system, this article takes data standardization as the starting point and provides the detailed principles and main methods of data standardization in regional centralized control construction, including standardization of collection methods, standardization of measurement point content, standardization of wind turbine status and standardization of event information. The role of data standardization in refined management of wind power production is analyzed, which is reflected in improving management efficiency, optimizing operation and maintenance modes, assisting decision-making analysis in three aspects. It can provide a reference for other centralized control centers in the wind power industry to carry out data standardization work.
Improvement in battery performance due to structure: Spiral structure
Authors: Liu Junjie
Published: August 2024

This paper discusses the performance enhancement brought by the application of spiral structures in batteries, which enhances aspects such as battery contact surface area and ion transport channels, thereby improving the performance and cycle life of solid-state batteries. Solid-state batteries have garnered significant interest because of their substantial energy density, strong safety, and long cycle life advantages. Addressing issues such as low temperature stability and low ion transport rate, current research primarily focuses on material modification and the development of new materials, with structure also being a key factor influencing performance. The spiral structure, with its unique form, gains many advantages and plays an important role in enhancing battery performance.
Rehabilitation of whitefish fisheries in lakes Geneva and Bourget during the eutrophication period: assessing socio-economic impacts through large collaborative research
Authors: Rogissart Hervé , Goulon Chloé , Guillard Jean
Published: August 2024

Lakes provide ecosystem services such as water resources, tourism, biodiversity, and fishing, and therefore their management represents important societal challenges. Since the early 1960s, significant anthropogenic pressures (human population growth and industrial and agricultural development) have accelerated the degradation of lake ecosystems, leading to eutrophication and subsequent increased sedimentation on fish spawning grounds and decreased dissolved oxygen concentrations. This negatively affects the natural recruitment of whitefish (Coregonus lavaretus), an emblematic species of peri-alpine lakes. Over the years, such processes have resulted in a decline in the whitefish population stock, thereby leading to a drastic drop in catch and causing major economic losses. From the beginning of the 1980s, alongside the restoration of water quality, professional fishers, recreational anglers, state services, and researchers from INRA worked together to develop an applied research program called ‘Pacage Lacustre’ to improve and optimise salmonid stocking. The goal was to counterbalance the low juvenile natural recruitment and maintain whitefish populations. Here, we retrospectively retrace the key stages of this research program and its main impacts on society. Collaborative efforts played a key role in rehabilitating whitefish populations in lakes Geneva and Bourget, particularly when their abundances were the lowest. Therefore, these efforts had a substantial impact on preserving commercial and recreational fishery activities, in addition to favorable societal impacts, highlighting the importance of such collaborative work.