bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Subsurface Scenario Based Analysis in Development Projects: A Case Study from a Deepwater Field, Offshore Nigeria
Authors: Ndianefo U. K. , Amadi N. S. , Onoko S. O. , Okonkwo G. C. , Imasuen I. 
Published: August 2023

Abstract
Subsurface uncertainty is usually greatest during the early stages of a field development. Static and dynamic well data are limited and seismic resolution is unlikely sufficient to capture the subsurface heterogeneities that exists within the reservoirs of interest. Regardless, project teams are tasked with coming up with a subsurface basis for the project field development plan.
Traditional approaches to subsurface analysis involve creating a best estimate realization (P50), as well as a low (P90) and a high side (P10) case. More often than not, the low and high side cases are just sensitivities around the same subsurface realization that underpins the best estimate case and do not take into account alternate subsurface realizations.
In addition, the impact of subsurface uncertainties with respect to choices made in the project is rarely documented and usually overlooked or understudied. Majority of the time, this leads to poor robustness of project design which becomes evident as development drilling commences and more data is acquired.
A scenario based analysis (SBA) approach is proposed to create subsurface realizations that underpins the project and helps formulate a robust data acquisition and project execution plan. When properly applied within the constraints of already acquired data and associated uncertainties, this approach highlights the impact of subsurface uncertainties on a project's design basis such as original oil in place (OIP), estimated ultimate recovery (EUR), well count, production handling capacity, and flowlines, amongst others. It also highlights key uncertainties that need to be mitigated early during project execution, requiring a detailed data acquisition and well sequencing planning.
The application of SBA to a deepwater field in order to come up with a robust design basis will be illustrated in this paper. We will show how multiple scenario models addressing key uncertainties resulted in a range of outcomes for OIP, EUR, well count and flowlines. We will also show how this has influenced our choice of early data acquisition and well sequencing to ensure the success of the project.
Dynamic Resource Allocation Algorithm for Interference Mitigation based on NOMA in UDN Network operating in both Uplink and Downlink
Authors: Bouhamed Emna , marouane Hend , zerai faouzi 
Published: August 2023

Abstract
The new notion of Internet of Vehicles (IoV) supports Vehicle-to-Everything (V2X) communications, which play a very important role in 5G systems. Non-orthogonal multiple access (NOMA) and Ultra-Dense-Network (UDN) and are two important technologies to meet the requirements of V2X services with their remarkable capacity. However, the concept of NOMA technology, which allows multiple vehicles to be served by the same resource, can lead to interference between different active users. In addition, the dense deployment of small base stations (SBS) in UDN, causes severe interference and degrades the network performance. To solve these problems, interference mitigation is widely used to avoid interference in NOMA-based UDN. In this paper, we suggested a dynamic resource allocation algorithm named Intra-cell-Inter-cell Interference Mitigation for V2X communication for UDN in uplink and downlink sense (Intra-Inter IMVN). Our algorithm aims to achieve five principals objectives, namely applying the same algorithm for both downlink and uplink modes, reducing the degree of interference, improving network performance in terms of throughput and error rate, minimizing cost and delay when using this alternative, combining dynamic metrics to support many V2X scenarios and requirements, and dealing with two types of interference such as intra-cell interference and inter-cell interference. Simulation results show that our proposed Intra-Inter IMVN algorithm outperforms the other recent approaches taking into account different parameters such as the number of users who can share the same resource and the number of available resource blocks.
Hybrid Precoding for Multi-user Massive MIMO Systems Based on Equivalent Channel
Authors: wang shiguo , Wang Liang , Zhao Yun , Li Peng , Ma Yinshuang 
Published: August 2023

Abstract
Utilizing millimeter-wave (mmWave) band with massive MIMO architecture is deemed as an available paradigm for the future 6G wireless systems to cater the increasing demands in communication rates, in which hybrid precoding is a promising solution to reduce hardware cost and power consumption while maintains almost the same spectrum efficiency. In this paper, for multi-user massive MIMO systems, a new hybrid precoding scheme is presented based on the concept of equivalent channel by designing the analog precoder at the transmitter and the analog combiner at the receiver jointly. Specifically, after the optimal analog precoder/combiner for each user has been derived based on the equivalent channel of the individual sub-channel via exploiting the singular value decomposition (SVD) technique, the total baseband digital precoding is implemented with the block diagonalization method to suppress inter-user interference. In this way, not only high spectrum efficiency can be achieved, but also the computational complexity to realize hybrid precoding is decreased. To further verify the superior performance of the proposed hybrid precoding, simulation results are presented with different parameter settings.
Efficient Storage and Analysis of Videos through Motion-Based Frame Removal
Authors: R Akash , Anderson Leandra Shania 
Published: August 2023

Abstract
The storage and analysis of CCTV footage pose a significant challenge in modern surveillance systems. This paper presents an innovative and modern solution for efficient storage optimization and analysis through motion-based frame removal techniques. By leveraging the OpenCV library redundant frames are removed, resulting in substantial storage reduction without losing important motion events. The methodology uses Python’s OpenCV library with optional technologies such as Django, SQLite, and Bootstrap, ensuring reliability, scalability, usability, and effective data visualisation. Experimental results have demonstrated the efficacy across different camera setups in different environments and their ability to preserve critical information. The approach offers a practical solution for decreasing cost, improving analysis efficiency, and enhancing usability. This research contributes to the field of CCTV surveillance by providing a practical and industry-oriented solution. The findings inspire further improvements in storage optimization and pave the way for more intelligent surveillance systems.
SOCIETY AND SEXUALITY, an experience of support group in a psychiatric hospital
Authors: CHAUMARTIN Nadia , Blacioti Elena 
Published: August 2023

Abstract
Objective
Describing our experience of a sexuality discussion group for psychiatric inpatients.
Method
Alternating women, men and mixed sessions, to present the anatomy, the sexual physiology and open up a debate around psychosexuality and society.
Results
The women's group themes highlight the link between the sexuality and the female status in society. The men’s group themes are the functional disorders around sexuality and the side effects of psychotropic drugs. The mixed group shows interest in informing the other gender of their needs and expectations. The mixed group also aims to receive non-binary patients.
Discussion
We see heterogeneity in the groups, gender differences and complementarity between men and women in the way they evoke their sexual and emotional life, and relationship with sexual pleasure. The patients share their intimacy around emotional or sexual traumatic experiences. The themes highlight a sexuality under the narcissistic dominant, characteristic of narcissistic disorders/ borderline states or psychotic disorders. The group functions, as a therapeutic group providing psychological security. The physician-psychologist pair support the links between biology and psyche regarding sexuality. A direct exchange and analysis between the caregivers after every session supports us in the idea that this group on «Society and sexuality» is both a method of expanding knowledge for both, ourselves, and the patients, but also a method of treatment, because we witness transformations both at an individual level and during group psychic work.
Conclusion
A psycho educational and therapeutical speech group about society and sexuality in a psychiatric hospital opens discussions that are part of global patient care.
Effect of Geotextile on Lime Stabilized Lateritic Soils under Unsoaked Condition
Authors: Akerele Daniel Damilare , Aduwenye Precious 
Published: August 2023

Abstract
In this study, the basic engineering and geotechnical qualities of poor subgrade soils were evaluated. Woven geotextile was used to stabilize the soil and to address the lime problem, enhancing its strength and mechanical properties. This is considered of significant importance in civil engineering works. Subgrade soils, its properties like plasticity and strength are essential to the design of pavement structures and any road construction. Experiments were conducted to investigate the application of geotextile on lime stabilized lateritic soils under unsoaked conditions. Geotechnical experiments were conducted to determine Grain size analysis, Atterberg, compaction and California bearing ratio test. CBR tests were done by placing the geotextile at varying depths under unsoaked conditions to determine the soil's bearing capacity. The result shows that the strength of lateritic soil is visibly increased by introducing geotextiles at different layers in the soil. It is found that geotextile placed at one-half the distance from the base showed higher CBR value by comparison with layers one-fourth and 1/4&3/4 distances from the base. The strength of the laterites was improved to thereabout 50% of its original strength without any stabilizer. Geotextile requires minimal maintenance, corrosion resistance, no threat to human health and increases the service life of road pavement. Geotextiles should be considered when dealing with the problems with lime and as a modernized form of improving road construction on poor laterites.
Classification and identification of crop disease based on depthwise separable group convolution and feature fusion
Authors: Wang Qiuping , Liu Chenrui , Xia Xiuxin , Guo Yuchen , Men Hong 
Published: August 2023

Abstract
Crop diseases have a significant impact on crop yields, necessitating the need for rapid and accurate detection of disease types for treatment. Traditional detection methods suffer from complexity, inefficiency, and human interference. This study proposes an optimized method for crop disease detection to reduce computational resource consumption and enhance feature learning capability.Firstly, the convolutional neural network (CNN) is improved using depthwise separable group convolution (DSGC) technique for easy deployment of CNN in embedded devices for practical applications. Secondly, an adaptive feature fusion mechanism (AFFM) is introduced to enhance the model's ability to capture feature information at different scales by fusing feature maps from different convolutional layers. Finally, by combining AFFM with the classic CNN, accurate identification of different crop disease information is achieved.To validate the effectiveness of AFFM, a comparative evaluation is conducted with other feature fusion methods. Experimental results show that the Resnet50+AFFM model achieves an Accuracy of 99.56%, Precision of 99.53%, Recall of 99.56%, and 𝐹 -score of 99.57% for crop disease classification. This confirms the effectiveness of this method in successfully distinguishing different crop diseases.The optimized method proposed in this study provides a new and efficient solution for crop disease detection, with the potential for widespread application in practical scenarios.
High-temperature superconductivity on Anderson lattice and moreover
Authors: Karnaukhov Igor 
Published: August 2023

Abstract
The Kondo insulator (KI) is studyed in the frameworrk of one dimensional models of Kondo and symmentic Anderson lattices at half filling. The consistent application of the mean field approach and the solution using the Bethe ansatz made it possible to come close to solving the problem of the ground state of KI. It is shown, that in the Z2-field electrons and local moments form singlets at each lattice site. This field leads to an on-site interaction, on which electrons are scattered. In the Kondo chain the Kondo insulator is similar to the Mott insulator in the Hubbard chain. The advantage of proposed approach is that it is possible to solve the problem for arbitrary exchange interaction constant. In the Anderson lattice, the indirect on-site interaction between band electrons is attractive, which makes it possible to propose a new mechanism for high Tc superconductivity in real compounds, such as modified lead-apatite (LK-99).
Evaluation and zonation of groundwater quality in terms of drinkability, using Fuzzy Logic and Schoeller deterministic method. (Northern Dezful - Andimeshk Plain)
Authors: Shakour Sedigheh , Chitsazan Manouchehr , Mirzaee Seyed Yahya 
Published: August 2023

Abstract
In the Northern Dezful-Andimeshk plain, the primary source of drinking water is groundwater, which has got low quality in some places. Thus, groundwater quality in this area needs an accurate evaluation. In this research, fuzzy and Schoeller deterministic method assessed the Northern Dezful-Andimeshk plain drinking water, and the results of both methods were used to zone and compare the drinking quality of the plain groundwater in the Arc GIS environment. The deterministic method classifies drinking water quality from good to bad. According to this method, 56.81% of the total area of the plain has good quality, 20.83% of the total area has acceptable, 18.77% of the total area has inappropriate quality, and 3.57% of the total area has bad quality. However, in the fuzzy method, groundwater in 21.6% of the total area of the plain with a confidence percentage of 70–81% is desirable, in 75.23% of the total area of the plain with a confidence percentage of 32–70% is acceptable, and 3.69% of the total area of the plain with drinking confidence of 20–22% is nonacceptable. The results showed that the fuzzy method is better than Schoeller deterministic method because it reduces uncertainties and increases accuracy in the evaluation and increases flexibility in the threshold limits of water quality parameters. and provides a quantitative and qualitative assessment of drinking water, also the zoning map obtained from this method is more compatible with environmental and pollution realities.
The effect of time constraint awareness on creativity test performance
Authors: Kong Rowena 
Published: August 2023

Abstract
Our perception of time is often a subjective dimension of our conscious awareness which varies across context and situational demands. It can be influenced by our internal psychological state and similarly, our creative potential can be affected by the interplay of our perception, mood, and situational factors. Our study aims to examine how participants’ creativity can be limited or enhanced by their perception of time constraint introduced or unspecified as assessed by a simple form of Wallach-Kogan Creativity Test (WKCT). It is hypothesized that a pressure-inducing time constraint awareness condition would decrease the quality of participants’ creativity test performance by demanding greater attentional resource and increasing test anxiety levels through a prevention-focused motivation. In contrast, the absence of pressure when a time constraint is unspecified would likely result in increased creativity through promotion-focused motivation by decreasing negative affect and anxiety level, which consequently enhances creativity. The results showed a small difference in test scores between participants in both informed and uninformed time constraint conditions with the former group performing better than the latter. It is interpreted that limitations in the study’s design and the factor of anxiety could provide a beneficial motivation for enhancing creativity performance.
An Approximate Grinding and Deviation Correction Method for Helical Face Gear
Authors: Yan Yaolong , Guo Hui , Sun Linlin , Zhao Ning , Teng Wenshuang 
Published: August 2023

Abstract
This paper introduces an approximate grinding method (AGM) and tooth flank deviation correction strategies for helical face gears (HFGs) generated by grinding worm, addressing the issue of singularities on the grinding worm thread surface that hinders HFGs grinding properly. Firstly, the tooth flanks of face gear and grinding worm are derived, and singularities on grinding worm are determined. Then, based on the grinding generation theory of HFGs, the AGM is proposed to solve the challenge of grinding HFGs with a large helix angle. Next, the tooth flank deviation of HFG generated by the grinding worm with the AGM is investigated, meanwhile, the tooth contact pattern and transmission error analysis are conducted. In addition, the correction methods of the HFG tooth flank deviation is researched. Finally, a grinding experiment is performed, and demonstrates the validity of the theoretical analysis of the AGM.
Competing length scales and 2D versus 3D dimensionality in relatively thick superconducting NbN films
Authors: Belogolovskii Mikhail , Poláčková Magdaléna , Zhitlukhina Elena , Grančič Branislav , Satrapinskyy Leonid , Gregor Maroš , Plecenik Tomáš 
Published: August 2023

Abstract
Magneto-transport characteristics of 2D and 3D superconducting layers, in particular, temperature and angular dependences of the upper critical field Hc2, are usually considered to be fundamentally different. In the work, we have verified this statement by probing effective dimensions of nm-thick NbN films using non-local resistance measurements at temperatures near the normal-to-superconducting transition. It was found that in relatively thick NbN layers, the thicknesses of which varied from 50 to 100 nanometers, the temperature effect on Hc2 certainly pointed to the three-dimensionality of the samples, while the angular dependence of Hc2 revealed behavior typical for 2D samples. The seeming contradiction is explained by an intriguing interplay of three length scales in the dimensionally confined superconducting films: the thickness, the Ginzburg-Landau coherence length, and the magnetic-field penetration depth. Our results provide new insights into the physics of superconducting films with an extremely large ratio of the London penetration depth to the Ginzburg-Landau coherence length exhibiting 3D isotropic superconducting properties and the 2D transport regime simultaneously.
Synthesis and spectroscopic properties of aluminum oxynitride doped with 3d-metal ions: the case of γ-AlON:Co
Authors: Ishchenko Aleksey V. , Akhmadullina Nailya S. , Leonidov Ivan I. , Sirotinkin Vladimir P. , Skvortsova Liliya G. , Mandrygina Darya A. , Shishilov Oleg N. , Zhidkov Ivan S. , Kukharenko Andrey I. , Weinstein Ilya A. , Kargin Yuri F. 
Published: August 2023

Abstract

The article presents a method to synthesize aluminum oxynitride (AlON) doped with cobalt ions at concentrations ranging from 0.01 at.% to 5 at.%. The phase and elemental composition of the samples and their optical properties have been studied upon variation of the cobalt content. Five emission bands in the pulsed cathodoluminescence spectra are attributed to intrinsic defects and impurities in AlON. The optical gap of AlON:Co estimated using the Tauc method are in the range of 5.72–5.84 eV and are significantly influenced by the oxygen content in the AlON host.
Spectral conditions for connectivity of uniform hypergraphs
Authors: Niu Qiannan , Ren Haizhen , Zhang Lei 
Published: August 2023

Abstract

A hypergraph H is connected if for every pair of vertices υ, ν ∈ V (H), there is a path connecting υ and ν. A connected hypergraph H is said to be k-connected (or k-verex-connected) if it has more than k vertices and remains connected whenever fewer than k vertices are deleted i.e k(H) ≥ k. H is k-edge-connected if it has at least two vertices and remains connected whenever fewer than k edges are deleted. A hypergraph H is super edge-connected if every minimum edge-cut consists of edges incident with one vertex of minimum degree. The connectivity is an important measurement for the fault tolerance of a network. One can use the above four fault-tolerant parameters of hypergraphs to analyze and describe the structure properties of hypergraphs, here, we use the hypergraph spectral theory to study its inverse problem, that is, to analyze the connectivity of hypergraphs with some spectral signatures. We characterize the k-connectivity of hypergraphs in terms of their degree sequence, and give some spectral conditions for a hypergraph to be k-connected or k-edge-connected. Furthermore, we also give some spectral conditions for a graph (hypergraph) to be connected or super-edge-connected.
AMS:05C50
Normalized Dataset for Sanskrit Word Segmentation and Morphological Parsing
Authors: Krishnan Sriram , Kulkarni Amba , Huet Gérard 
Published: August 2023

Abstract

Sanskrit processing has seen a surge in the use of data-driven approaches over the past decade. Various tasks such as segmentation, morphological parsing, and dependency analysis have been tackled through the development of state-of-the-art models despite working with relatively limited datasets compared to other languages. However, a significant challenge lies in the availability of annotated datasets that are lexically, morphologically, syntactically, and semantically tagged. While syntactic and semantic tags are preferable for later stages of processing such as sentential parsing and disambiguation, lexical and morphological tags are crucial for low-level tasks of word segmentation and morphological parsing. The Digital Corpus of Sanskrit (DCS) is one notable effort that hosts over 650,000 lexically and morphologically tagged sentences from around 250 texts but also comes with its limitations at different levels of a sentence like chunk, segment, stem and morphological analysis. To overcome these limitations is to look at alternatives such as Sanskrit Heritage Segmenter (SH) and Samsaadhanii tools, that provide information complementing DCS’ data. This work focuses on enriching the DCS dataset by incorporating analyses from SH, thereby creating a dataset that is rich in lexical and morphological information from both DCS and SH. Furthermore, this work also discusses the impact of such datasets on the performances of existing segmenters, specifically the Sanskrit Heritage Segmenter.