bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Remote sensing-based study of Seasonal variation of tropospheric Ozone Concentration over Bhopal using Sentinel-5P Satellite Data
Authors: Tiwari Ravi Kumar 
Published: October 2023

Abstract
The present study aims to analyze the seasonal variation in air quality in Bhopal, particularly in terms of Ozone (O3) levels. Due to the limited number of air monitoring stations in the region and their inability to function over the years, new methods must be found to complement the data on the ground. This study utilizes remote sensing products and GIS platforms to measure O3 levels quantitatively and qualitatively in the area. The measurements are compared with the Central Pollution Control Board (CPCB) ground monitoring O3 data of four locations (commercial, industrial, and residential areas), and Pearson correlation coefficients (PCC) (0.49, 0.34, 0.40) indicate that for daily monitoring of O3 concentrations, Sentinel-5P data can be used. The study also employs Google Earth Engine as an alternative method to analyze pre-processed data using conventional retrieval and GODFIT algorithms. To cope with near-real-time requirements, machine learning approaches are new-generation tools for different atmospheric processors.
Geochemistry of Palaeo-Proterozoic Kajrahat Limestone, Vindhyan Supergroup, Central India: insights into Depositional Conditions and Sources of Rare Earth Elements
Authors: Singh Akanksha , Singh B. P. , Kanhaiya S. , Quasim M. A. , Patra A. , Singh S. 
Published: October 2023

Abstract
This study investigates the geochemical composition of major, trace and rare earth elements (REEs) in the Palaeo-Proterozoic Kajrahat Limestone, Vindhyan Supergroup, Central India to infer the depositional environment and source for the REEs. The studied limestones, have a high percentage of CaO (ranging from42.27–66.53, n = 17), followed by SiO2 as the major oxides. Sr is dominant trace element showing a negative correlation with CaO. This indicates that either Sr precipitated its own minerals or it was contributed by the siliciclastic material. All trace elements exhibit depletion with respect to Post-Archean Australian Shale (PAAS) values. The PAAS-normalized REE pattern of studied limestone has a relatively uniform pattern, with slightly enriched LREE compared to HREE, negative Ce anomaly (ranging from 0.66–0.89), negative Eu anomaly (largely ranging from 0.84–1.43), and low U/TH ratio (ranging from 0.12–1.25).The studied limestones exhibit a negative correlation between ΣREE and Fe2O3, MnO, MgO, Sr but a positive correlation with other elements. These positive correlations suggest that, in addition to seawater, siliciclastic sediments also serve as a source for the REEs. The (La/Yb)N, La/Sc, La/Th, and Th/Sc ratios imply that the terrigenous admixture in studied limestone likely originated from felsic source rocks. The geochemical investigation of studied limestone indicates a low U content (0.3–1.3, n = 17) and U/Th (0.12–1.25, n = 17) ratios suggest an oxygen-rich environment. This, in turn, indicates that the deposition of this limestone occurred in a coastal/ shallow marine environment with some contribution from continental part.
Impact of tweets on Indian movies performance: An integrative approach using sentiment analysis and emotion detection
Authors: Sarin Prof. Gaurav , Agarwal Rhythm , Goyal Ekta 
Published: October 2023

Abstract
Due to social media's rapid growth, moviegoers primarily rely on internet reviews before buying. Studios must determine how reviews affect sales. This study examines how online reviews affect movie box office earnings using sentiment analysis and emotion recognition. Text reviews affect attendance and revenue as much as rating does. This data can help filmmakers and advertising target demographics. Films met audience expectations, with increased trust and happiness and lower wrath, surprise, disgust, and sadness. However, some films scored better for specific emotions, suggesting they elicited different audience responses. Most film tweets were happier and more trusting after release than before. However, tweets about some films showed more wrath and dread, suggesting marketing or audience reception concerns.
New insights on inheritance of multilocular trait in yellow sarson Rare inheritance studies in yellow sarson for petalous and apetalous trait
Authors: Bisht Charu , Prasad Birendra , Pant Usha , Verma S. K. , Gaur Amit Kumar , Gupta Shubham , Panwar Neha , Joshi Shivendra , Bisht Yashpal Singh , Prasad Himanshu , joshan Harshdeep 
Published: October 2023

Abstract
The inheritance study for the multilocular trait would open new doors for better yield in yellow sarson getting to know the genetic nature helps the breeder to work efficiently and transfer the trait due to its nature of having more seeds This study uses crosses between multilocule and bilocule parents Pant Girija, B9, are bilocular parents and pant pili sarson 1, NDYS are multilocular parents which were crossed and f1, f2, bc1, bc2 generations were studied and chi2 test was applied to get the nature of gene and inheritance. The findings reveal critical insights for the plant breeding industry. Multilocular genotypes are completely dominant in the F1 generation, demonstrating the usefulness of this feature for breeding. The regulation of locules by a single dominant gene is evident in the F2 generation, which displays a clear Mendelian 3:1 segregation ratio. Experiments with backcrosses support the dominance of multilocular alleles. These findings are highly applicable to plant breeders and will help them to precisely pick traits and improve desired traits in Brassica cultivars. Strategic breeding efforts can increase crop quality and production by better understanding the genetics of ovary locules.
Valorization of waste polycaprolactone via microbial upcycling of 6- hydroxyhexanoic acid into adipic acid by metabolically engineered Escherichia coli
Authors: Oh Yu-Ri , Jang Young-Ah , Song Jae Kwang , Eom Gyeong Tae 
Published: October 2023

Abstract
To valorize waste polycaprolactone (PCL), one of the most widely used biodegradable plastics, into a value-added chemical, we upcycled 6-hydroxyhexanoic acid(6-HHA), the sole monomer of PCL, into adipic acid (AA) using a microbial method. Recombinant Escherichia coli strains expressing chnD (6-HHA dehydrogenase) and chnE(6-oxohexanoic acid dehydrogenase) genes from three bacteria were constructed, and all these strains successfully produced AA from 6-HHA. Among these, the E. coli strain harboring ChnDE genes from Acinetobacter strain SE19 (E. coli [pKK-AcChn]) showed the highest AA-producing ability. To increase the AA production titer, we optimized the culture temperature of this strain in flask culture and performed fed-batch fermentation in a 5 L bioreactor. After the fed-batch fermentation, the AA production titer increased to 15.6 g/L. To the best of our knowledge, this is the first report of the upcycle of 6-HHA into AA using a recombinant bacterial strain. Because 6-HHA is a monomer of PCL, our results provide the groundwork for the development of a biocatalytic recycling method for PCL.
The Torus of Triangles
Authors: Brussel Eric , Goertz Madeleine 
Published: October 2023

Abstract
We show that when parameterized by triples of angles, the set of similarity classes of labeled, oriented, possibly degenerate triangles has the natural structure of the Clifford torus T, a compact abelian Lie group. On this torus the main triangle types form distinguished algebraic structures: subgroups and cosets.
We analyze the set of (unrestricted) similarity classes using a uniform probability measure on T and compute the relative measures of the different triangle types.
Our computations are compatible with the spherically symmetric probability distribution analyzed in \cite{Port} and \cite{ES15}, which are based on vertices/side lengths instead of angles.
Prediction of Resident Travel Modes Based on XGBoost and Analysis of Behavioral Interaction Characteristics
Authors: Yang Xia , Zhang Jin , Wang Kai , Feng Chao-qin , Li Jie-mei 
Published: October 2023

Abstract
Figuring out the characteristics of urban residents' travel mode choices is the key to the forecasting of residents' travel demand as well as an important basis for transportation system management and planning. The integrated learning model based on the Boosting framework has high prediction accuracy and strong feature selection and combination ability and has become the preferred algorithm for building travel demand prediction models.In this article, the authors use the resident travel survey data of Kunming City, choose four integrated learning classifiers, XGBoost, LightGBM, CatBoost, and GBDT, to predict the travel mode of the residents, select the best parameters of the model by using grid search and five-fold cross-validation, analyze the importance of the features of the prediction model by using TreeSHAP, and finally explore the selection of travel modes under the interaction of important feature variables. The results of the study show that (1) the XGBoost model performs better than the other models, and the accuracy, precision, recall, and F1 value of the XGBoost model reach 90%, respectively, and the prediction accuracy of the four modes of travel, namely walking, two-wheeled electric motorcycle, public transportation, and car, reaches 94%, 90%, 85%, and 90%, respectively, and the corresponding AUC values reach 0.99, 0.97, 0.96, and 0.98, respectively. (2) Compared with household size and annual income, the actual distance of travel paths, ownership of cars and 2-wheeled electric motorcycles, age and gender of travelers, and the built environment are more important factors influencing the prediction of residents' travel choices. (3) The characteristics of travel mode choice under the interaction of several factors are obvious; except for the group over 55 years old, the ownership of travel means of transportation in the family significantly affects the choice of travel mode of residents; men between 20 and 55 years old have more medium-distance and long-distance trips, and they are the main group of people who use cars; when the travel distance is less than 15km, the 2-wheeled electric motorcycle and cars have a certain mutual substitution effect. In order to comprehensively promote the high-quality development of transportation, it is necessary to focus on the travel needs of women and the elderly while controlling the number of motor vehicles in the household, introducing policies to encourage the use of two-wheeled electric motorcycles, and improving the city's public transportation and commercial support facilities.
Seasonality and vertical structure of microbial communities in the alpine wetland
Authors: Wang Huiyuan , Li Yue , Yang Xiaoqin , Niu Bin , Jiao Hongzhe , Yang Ya , Huang Guoqiang , Hou Weiguo , Zhang Gengxin 
Published: October 2023

Abstract

The soil microbial community plays an important role in wetland ecosystem material transformation and energy flow. The temporal dynamics and spatial distribution of soil microbial communities have always been central questions in ecology. Numerous studies on wetland microbial community structure have focused on low altitudes, while patterns of microbial diversity across seasons and depths and their environmental determinants remain poorly studied. Here, we collected soil samples across four seasons at 0–5, 5–10, and 10–30 cm in the NamCo wetland on the Tibetan Plateau to study the seasonality and vertical patterns of soil microbial communities and their main drivers. We found clear seasonal variation in bacterial community composition, most pronounced in winter, but nonsignificant seasonal variation in archaea. In particular, Proteobacteria decreased by 11.5% in winter compared with other seasons (P < 0.05). The alpha diversity, indicated by the Chao1 index, showed hump-shaped seasonal patterns with a lower diversity in winter for bacteria but nonsignificant patterns in archaea across depths. PERMANOVA showed that the bacterial community structure had significant differences between winter and the other three seasons (P < 0.05). In addition, bacterial and archaeal community structures differed between surface (0–5 cm) and deeper (5–30 cm) soils (P < 0.01). Redundancy analysis demonstrated that soil total nitrogen, soil total phosphorus, and total soil organic carbon had significant effects on bacteria and archaea (P < 0.05). Furthermore, the bacterial community structure was strongly affected by soil moisture content and temperature (P < 0.001). Our findings highlighted the seasonal variation in the microbial community and the profound influence of soil moisture and temperature on microbial structure in alpine wetlands on the Tibetan Plateau.
Femtosecond Laser Writing of Photonic Crystal Fiber in LiNbO3 Crystal
Authors: Mohammed Miami , Ahmad Ahmad K. 
Published: October 2023

Abstract
A numerical investigation of depressed cladding photonic crystal fiber (PCF) that has been buried in bulk lithium niobate crystal material by direct femtosecond (fs) laser writing. The leading guide of light propagation is elucidated through the photonic crystal that is embedded in a lithium niobate. The induced refractive index, confinement losses, and dispersion are numerically calculated according to the orientation of the crystal and the structure geometry of the PCF. This structure supports single and highly multimode TE and TM wave guidance at the communication wavelength 1.55µm. We realized that the confinement losses are less than 1dB/cm for both polarizations, and the transmission properties appear good for several PCF applications.
Long Tail Relation Extraction Enhanced with Prototype and Entity Type
Authors: Chen Qidong , Cao Xinyu , Wang Quan , Xu Yuxuan 
Published: October 2023

Abstract
To address the long-tail problem in distantsupervised datasets, this paper proposes a relation extraction model with relation prototypes and entity types to enhance the sentence representation. Based on the idea of prototype, information is selectively extracted from the prototype embedding to enhance the sentence representation through the attention mechanism, and the entity type information is incorporated into the sentence representation, so that implicit dependency paths are established between different relations through the relation prototypes and entity types. It also combines the constraint graph to explicitly model the potential semantic dependencies between different relations, further enhancing the model’s ability to extract long-tail relationships. The experimental results on the NYT dataset and Re-TACRED dataset show that the proposed method can significantly improve the performance of the model on long-tail relations.
Implementing 2-qubit Pseudo-Telepathy Games on Noisy Intermediate Scale Quantum Computers
Authors: Kelleher Colm , Roomy Mohammad , Holweck Frédéric 
Published: October 2023

Abstract

It is known that Mermin-Peres like proofs of quantum contextuality can furnish non-local games with a guaranteed quantum strategy, when classically no such guarantee can exist. This phenomenon, also called quantum pseudo-telepathy, has been studied in the case of the so-called Mermin Magic square game. In this paper we review in detail two different ways of implementing on a quantum computer such a game and propose a new Doily game based on the geometry of 2-qubit Pauli group. We show that the quantumness of these games are almost revealed when we play them on the IBM Quantum Experience, however the inherent noise in the available quantum machines prevents a full demonstration of the non-classical aspects.
Genetic Variability, Heritability, and Genetic Advance for Yield and Yield Related Traits of Food Barley (Hordeum Vulgare L.) Recombinant Inbreed Lines at Woreilu District, South Wollo, Ethiopia
Authors: Abebe Kibret , Mekonnen Fikru , Zewdu Demeke 
Published: October 2023

Abstract
Barley is a multipurpose diploid (2n = 14) and the most ancient cereal crop. Studying genetic variability and the magnitude of variation in barley is essential for improving the yields and enhancing production. The experiment was conducted on forty-nine six-row recombinant inbred line food barley genotypes in seven by-seven simple lattice design at Woreilu Farmer Training Center in the 2021/22 cropping season to estimate the extent of genetic variability, heritability, and genetic advance among the genotypes. Analysis of variance (ANOVA) revealed that there was a significant difference (p < 0.001) among forty-nine genotypes for all the traits studied. A high PCV and GCV were recorded for grain yield, fertile tiller per plant, and biomass yield. High GCV with high heritability and genetic advance as a percent of the mean recorded on grain yield, fertile tillers per plant, and biomass yield. Therefore considering these traits for direct selection in barely breeding is important.
Evolutionary Tinkering Enriches the Hierarchical and Interlaced Structures in Amino Acid Sequences
Authors: Zhang Zecheng , Liu Chunxiuzi , Zhu Yingjun , Peng Lu , Qiu Weiyi , Tang Qianyuan , Liu He , Zhang Ke , Di Zengru , Liu Yu 
Published: October 2023

Abstract

Background: In bioinformatics, tools like multiple sequence alignment and entropy methods probe sequence information and evolutionary relationships between species. Although powerful, they might miss crucial hierarchical relationships formed by the reuse of repetitive subsequences like duplicons and transposable elements. Such relationships are governed by ''evolutionary tinkering'', as described by François Jacob. The newly developed Ladderpath theory provides a quantitative framework to describe these hierarchical relationships.
Results: Based on this theory, we introduce two indicators: order-rate η, characterizing sequence pattern repetitions and regularities, and ladderpath-complexity κ, characterizing hierarchical richness within sequences, considering sequence length. Statistical analyses on real amino acid sequences showed: (1) Among the typical species analyzed, humans possess relatively more sequences with large κ values. (2) Proteins with a significant proportion of intrinsically disordered regions exhibit increased η values. (3) There are almost no super long sequences with low η. We hypothesize that this arises from varied duplication and mutation frequencies across different evolutionary stages, which in turn suggests a zigzag pattern for the evolution of protein complexity. This is supported by our simulations and examples from protein families such as Ubiquitin and NBPF.
Conclusions: Our method emphasizes ''how objects are generated'', capturing the essence of evolutionary tinkering and reuse. The findings hint at a connection between sequence orderliness and structural uncertainty, and suggest that different species or those in varied environments might adopt distinct protein elongation strategies. These insights highlight our method's value for further in-depth evolutionary biology applications.
Numerical Simulation and Evaluation of Soil Temperature on the Qinghai-Xizang Plateau by the CLM4.5 Model
Authors: Ding X , Lai X , Fan GZ 
Published: October 2023

Abstract
The CRUNCEP V7 dataset was used to drive the Community Land Model version 4.5 (CLM4.5) to simulate the spatiotemporal changes of soil temperature in the Qinghai-Xizang Plateau from 1981 to 2016. The simulation results were compared with observations, ERA-Interim and GLDAS-CLM soil temperature reanalysis data. The results show that: 1) CLM4.5 can accurately reproduce the dynamic changes in the observed soil temperature over time in two soil layers (0–10 cm and 10–50 cm) at most sites, with a significant positive correlation with the observations. 2) CLM4.5 can depict the spatial distribution of soil temperature in the plateau area, and the distribution characteristics are consistent with those of the reanalysis data. The soil temperature increases from north to south, and the values in the Qaidam Basin are significantly higher than those in the surrounding area. The CLM4.5 results are similar in value to the ERA-Interim product, while the GLDAS-CLM soil temperature values are generally higher. 3) The simulated value shows the trend of “+ - + -” (“increasing-decreasing-increasing-decreasing” ) from the west to the east in summer and autumn, while in winter and spring, the trend is generally increasing, but a decreasing trend is observed in some isolated locations. The temperature variation trends in the ERA-Interim data in winter and the GLDAS-CLM data in the middle of Sanjiangyuan in spring and the Qinghai Plateau in winter are consistent with that of the simulated data. The above results are all tested with 95% confidence. 4) During the period from 1981 to 2016, the soil temperature on the plateau showed a significant upward trend, especially in spring and autumn. The two layers of the plateau have obvious seasonal changes, with the whole year characterized by a “single peak shape”. From March to September, the shallow soil temperature is higher than the deep soil temperature, and from October to February, the deep soil temperature is higher than the shallow soil temperature.
Effect of ethyl acetate fraction of Lespedeza cuneate in the treatment of streptozotocin-induced type-2 diabetes mellitus in ICR mice
Authors: Mariadoss Arokia Vijaya Anand , Park SeonJu , Saravanakumar Kandasamy , Anbazhagan Sathiyaseelan , Wang Myeong-Hyeon 
Published: October 2023

Abstract
In the recent past, phytomolecules are exponentially applied in the discovery of anti-diabetic drug. The natural products derivatives associated anti-diabetic drugs are gaining an appeal in both developing and developed countries due to less adverse effects. This work screened the active solvent fraction of Lespedeza cuneate based on the phytochemical, enzyme inhibition, antioxidant properties. The antioxidant efficacy of the different fractions of the L. cuneate were appraised by DPPH, ABTS, ferric reducing power, hydrogen peroxide and hydroxyl radical scavenging assays. The enzyme (α-amylase and α-glucosidase) inhibitory activity were measured. Phytochemical composition of Ethyl acetate fractions of L. cuneate (Lc-EAF) were studied by UHPLC-Q-TOF-MS/MS. The effect of Lc-EAF treatments in glucose uptake were studied in insulin resistance HepG2 cells (IR-HepG2). Further, the anti-diabetic effect of Lc-EAF in streptozotocin (STZ) induced diabetes mice were demonstrated. Ethyl acetate, hexane and methanol fractions of the L. cuneate showed a notable antioxidant, α-amylase and α-glucosidase inhibitory properties. Among the fractions, Lc-EAF found to be potent than the other fractions tested. The Lc-EAF exhibited the IC50 of 205.32 ± 23.47 µg/mL and 105.32 ± 13.93 µg/mL for α-amylase and α-glucosidase inhibition respectively. Also, 75 µg/mL of Lc-EAF exposure were enhanced the 68.23% of glucose uptake in IR-HepG2 cells. In vivo study indicated that treatment Lc-EAF (100 mg/kg b.wt) maintained the blood glucose level through reduction of insulin level, while improved the lipid profile, hepatic, and renal markers. The present findings suggested that Lc-EAF could be considered a prominent source of isolation of molecules with antidiabetic, anti-hyperlipidemic and ROS-associated diseases control.