bluuebunny/crossref_metadata_2025 huggingface dataset:
Field Efficacy of Antagonistic Fungi against Black Spot Disease of Chinese Kale
Authors: Oiuphisittraiwat Thanaprasong , Dethoup Tida , Mongon Jenjira , Jantasorn Arom
Published: August 2023

Background: Alternaria brassicicola (Schw.) causes black spot disease, which is one of the major diseases limiting the production of vegetable crops, especially Chinese kale in Southeast Asia and Thailand. Previous pathogen management based on synthetic fungicides is expensive, toxic for humans, and harmful to the environment. The current study investigated the efficiency of Talaromyces flavus (Klöcker) Stolk and Samson Bodhi001, Talaromyces trachyspermus (Shear) Stolk and Samson Bodhi002, Talaromyces flavus (Klöcker) Stolk and Samson Bodhi003, Neosartorya fischeri (Wehmer) Malloch and Cain Bodhi004, and Neosartorya fischeri (Wehmer) Malloch and Cain in controlling Chinese kale black spot disease caused by A. brassicicola under field conditions. Methods: A. brassicicola and four antagonistic fungus strains were cultured separately on a PDA plate and incubated at room temperature for 14 days. Ten mL of sterile water was poured into a culture plate, and the spores were gently scraped from the mycelium with a sterile loop to obtain a spore suspension and afterward adjusted to a final concentration of 106 spores mL−1. Result: The results showed that spore suspensions of 106 spores mL−1 of T. flavus Bodhi001, T. trachyspermus Bodhi002, T. flavus Bodhi003, N. fischeri Bodhi004, and N. fischeri effectively controlled black spot disease in field trials and resulted in a significant reduction in black spot incidence compared with the unprotected control. Meanwhile, the spore suspension of T. flavus Bodhi001 revealed the greatest suppression of black spot incidence, causing 10.23% and 42.93% disease reduction, compared with the negative control, indicating promising preventive activity against A. brassicicola. Based on our results, T. favus Bodhi001 is a promising biological control agent (BCA) in controlling A. brassicicola causing Chinese kale black spot disease.
Génesis y desarrollo arquitectónico del Palacio de la Moneda de Chile
Authors: Suhrcke Caballero Gunther , Gondeck Cepeda Katherine
Published: August 2023

El Palacio de La Moneda es sede de presidencia, poder ejecutivo y tres ministerios de Chile. Se constituye como uno de los principales edificios históricos en el país y el más importante respecto a función representativa actual, como palacio de gobierno. Desde su origen ha sido protagonista del recorrido histórico-político y social-urbano de la nación, hechos que se han expresado en su metamorfosis arquitectónica. Diseñado por el arquitecto Joaquín Toesca e inaugurado en 1805 como Real Casa de Moneda de Santiago. Luego de la independencia en 1845, se traslada al inmueble la sede de gobierno, momento en que se establece la primera modificación importante de su planta, con la cual comienza una dinámica transformadora y de adaptación permanente. En su categoría de patrimonio arquitectónico se hace imprescindible comprenderlo como patrimonio cultural referente a lo que simboliza y como patrimonio edificado en cuanto a inmueble histórico, su valor original y actual.
Examining Braille Material and its Support in the Academic Process
Authors: Candia Roa Nicolás Andrés , Niño Rodriguez Karen Dayan
Published: August 2023

This paper intended to analyze whether the library resources available for visually impaired students supported their academic process. In order to examine this issue, surveys and semi-structured interviews were conducted to cover the different perspectives and the familiarity of students with functional diversities, the teachers responsible for them, and the librarians in regard to these materials. Additionally, a document analysis was implemented to count the number of braille resources, classify, and collect data about accessibility and content that this material provides. The preliminary results displayed that the library has a lack of braille books in accordance with the number of blind students from different faculties that the same possesses.  The following article discusses the implications this issue has for the academic process.
Regulatory role of exosomes in colorectal cancer progression and potential as biomarkers
Authors: Hui Juan , Zhou Mingzhen , An Guangzhou , Zhang Hui , Lu Yuanyuan , Wang Xin , Zhao Xiaodi
Published: August 2023

Colorectal cancer (CRC) remains an enormous challenge to human health worldwide. Unfortunately, the mechanism underlying CRC progression is not well understood. Mounting evidence has confirmed that exosomes play a vital role in CRC progression, which has attracted extensive attention among researchers. In addition to acting as messengers between CRC cells, exosomes also participate in the CRC immunomodulatory process and reshape immune function. As stable message carriers and liquid biopsy option under development, exosomes are promising biomarkers in the diagnosis or treatment of CRC. In this review we have described and analyzed the biogenesis and release of exosomes and current research on the role of exosomes in immune regulation and metastasis of CRC. Moreover, we have discussed candidate exosomal molecules as potential biomarkers to diagnose CRC, predict CRC progression, or determine CRC chemoresistance, and described the significance of exosomes in the immunotherapy of CRC. This review provides insight to further understand the role of exosomes in CRC progression and identify valuable biomarkers that facilitate the clinical management of CRC patients.
Pharmacokinetics of Four Tyrosine Kinase Inhibitors in Adult and Paediatric Chronic Myeloid Leukaemia Patients
Authors: Allegra Sarah , Dondi Emma , Chiara Francesco , Francia Silvia De
Published: August 2023

Tyrosine Kinase Inhibitors work by blocking the tyrosine kinases responsible of the dysregulation of intracellular signalling pathways in tumour cells. This study looked at the impact of age and sex on the levels of imatinib, dasatinib, nilotinib, and ponatinib in plasma and cerebrospinal fluid samples of patients with chronic myeloid leukaemia. Imatinib and dasatinib were used to treat the majority of the enrolled patient and most of them were paediatrics. The 82.4% of patients were men; however, sex-related differences in drugs pharmacokinetics were not found. Age and imatinib plasma concentration were found to be inversely correlated: as patients ages increased, drug levels decreased. The dasatinib concentrations in plasma were found to be substantially lower than those found in cerebrospinal fluid, particularly in paediatrics. Analysing the obtained data, we can state that Therapeutic Drug Monitoring is a useful method for adjusting a patient treatment schedule depending on drug concentrations in biological fluids. The use of Therapeutic Drug Monitoring in conjunction with Tyrosine Kinase Inhibitors for the treatment of chronic myeloid leukaemia is supported by a number of sources of evidence. As a result, as the research develops, Tyrosine Kinase Inhibitors Therapeutic Drug Monitoring classification needs to be refined in terms of factors like sexes and ages.
Optimal Design and Analysis of a Hybrid Hydrogen Energy
Storage System for an Island-based Renewable Energy Community
Authors: Dehouche Zahir , Garner Robert
Published: August 2023

Installations of decentralised Renewable Energy Systems (RES) are becoming increasing

popular as governments introduce ambitious energy policies to curb emissions and slow surging

energy costs. This work presents a novel model for optimal sizing for decentralised renewable

generation and hybrid storage system to create a Renewable Energy Community (REC), developed

in Python. The model implements PV Solar and Wind Turbines combined with a hybrid battery and

Regenerative Hydrogen Fuel Cell (RHFC). The electrical service demand is derived using real usage

data from a rural island case study location. Cost remuneration is managed with an REC virtual

trading layer, ensuring fair distribution among actors in accordance with the European RED(III)

policy. A multi-objective Genetic Algorithm (GA) stochastically determines the system capacities such

that the inherent trade-off relationship between project cost and decarbonisation can be observed.

The optimal design results in an LCOE of 0.15€/kWh, reducing costs by over 50% compared with

typical EU grid power, with a project IRR of 10.8%, simple return of 9.6%/year, and ROI of 9 years.

Emissions output from grid only use is reduced by 72% to 69 gCO2e/kWh. Further research of

lifetime economics and additional revenue streams in combination with this work could provide a

useful tool for users to quickly design and prototype future decentralised REC systems.
Sustainable Exploration of “Plug-In Design” in Public Space of Old City in Guangzhou: Case Study on Xudi-Gaodijie
Authors: Haochen Bai , Minzhi Li , Zhenfang An
Published: August 2023

The current regeneration mode of public space in the old city of Guangzhou is ineffective, thus necessitating supplementation with a more systematic methodology. The “plug-in design” targets sustainable regeneration while preserving the overall urban texture and context, i.e., has little impact on the spatial qualities of the old city. The ultimate goal is to activate the public space of the old city of Guangzhou point-to-area through the insertion of various plug-ins. In this study, the methodology is applied to Xudi Gaodi Street, the core area of the old city of Guangzhou, to explore its effects on sustainability. The internal public space is isolated and supplied with rigid and flexible plug-ins from multiple dimensions, which not only improves the spatial environment but also injects new urban formats. This work provides a specific solution for regeneration in Guangzhou’s old city while enhancing empirical knowledge of the plug-in design to support urban regeneration theory and further practical development.
The Analysis of the Development of Islamic Economic System in Europe with the Increasing Capacity of Muslims as a Minority
Authors: Ghozali Mohammad , Sahid Mualimin Mochammad , Rohman Muchamad Zainur
Published: August 2023

••• English ••• Islam entered Europe for the first time in 711 M, brought by Tariq bin Ziyad via Spain. In Europe Muslims are still classified as a minority because the largest religion in Europe is Christianity. Able to overcome various existing economic problems, especially the problem of the economic crisis, Islamic economics is present as an alternative to a capitalist economy and socialism. Islam comes with comprehensive and universal teachings. This research aims to discuss in depth the development of the Islamic economic system in Europe, using historical approaches and documentary methods in data collection techniques, namely by analyzing articles that have relevance to the topic being discussed. The conclusion of this research is that in the European continent itself, the development of an economy based on sharia, one of which is a factor in the increasing Muslim population in Europe. The growth and development of the Islamic economy in Europe can also be seen by the birth of Islamic banking, namely 22 banks that have been operating and 6 of them are certified full sharia. Sukuk are also getting more interest and ordering from the public, implants in Europe are listed on the Luxembourg Stock Exchange. The development of Islamic insurance is also relatively fast because it has received a good response from the community. Other progress can be seen from the many scientific studies that discuss the Islamic economic system in several universities, such as at Harvard University. ••• Indonesian ••• Islam masuk ke Eropa pertama kali pada tahun 711 M, dibawa oleh Tariq bin Ziyad melalui Spanyol. Di Eropa umat Islam masih tergolong minoritas karena agama terbesar di Eropa adalah Kristen. Mampu mengatasi berbagai permasalahan ekonomi yang ada, terutama masalah krisis ekonomi, ekonomi Islam hadir sebagai alternatif dari ekonomi kapitalis dan sosialisme. Islam hadir dengan ajaran yang komprehensif dan universal. Penelitian ini bertujuan untuk membahas secara mendalam perkembangan sistem ekonomi Islam di Eropa, dengan menggunakan pendekatan sejarah dan metode dokumenter dalam teknik pengumpulan data, yaitu dengan menganalisis artikel yang memiliki relevansi dengan topik yang sedang dibahas. Kesimpulan dari penelitian ini adalah di benua Eropa sendiri, perkembangan ekonomi yang berbasis syariah salah satunya menjadi faktor meningkatnya populasi Muslim di Eropa. Pertumbuhan dan perkembangan ekonomi Islam di Eropa juga dapat dilihat dengan lahirnya perbankan syariah, yaitu 22 bank yang telah beroperasi dan 6 diantaranya bersertifikat full syariah. Sukuk juga semakin diminati dan diminati masyarakat, implan di Eropa tercatat di Luxembourg Stock Exchange. Berkembangnya asuransi syariah juga tergolong cepat karena telah mendapat respon yang baik dari masyarakat. Kemajuan lain terlihat dari banyaknya kajian ilmiah yang membahas sistem ekonomi Islam di beberapa universitas, seperti di Universitas Harvard.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Dynamical behavior and multiple optical solitons for the fractional Ginzburg-Landau equation with β-derivative in optical fibers
Authors: Tang Lu
Published: August 2023

The main goal of the current work is to study dynamical behavior and dispersive optical solitons for the fractional Ginzburg-Landau equation in optical fibers. Starting with the traveling wave transformations, the fractional Ginzburg-Landau model is converted into an equivalent ordinary differential traveling wave system. Then, the Hamiltonian function and orbits phase portraits of this system are found. Here, we analytically derived periodic wave solutions, bell-shaped solitary wave solutions and kink-shaped solitary wave solutions through the bifurcation theory of differential dynamical system. In addition to, some other traveling wave solutions are obtained by using the polynomial complete discriminant method and symbolic computation. Most notably, we give the classification of all single traveling wave solutions of fractional Ginzburg-Landau equation at the same time. The obtained optical soliton solutions in this work may substantially improve or complement the corresponding results in the known references. Finally, we give the comparison between our solutions and other’s results.
An Analysis of the Critical Region of Multiparameter Equations of State
Authors: Bell Ian H. , Lemmon Eric W. , Harvey Allan H.
Published: August 2023

In this work, two classes of defects with multiparameter equations of state are investigated. In the first, it is shown that the critical point provided by equation of state developers often does not exactly meet the criticality conditions based upon the first two density derivatives of the pressure being zero at the critical point. Based upon the more accurate locations of the critical points given in the first part, the scaling of the densities along the binodal and spinodal in the critical region are investigated, and we find that the vast majority of equations have reasonable behavior but a few do not.
Capsule Network with Position-biased Mechanism for Aspect-Level Sentiment Analysis
Authors: Dai Ziwen , Li Xianyong , Huang Jiaming , Huang Chen , Zhang Maolin , Du Yajun , Chen Xiaoliang , Huang Dong
Published: August 2023

Aspect-level sentiment analysis is a crucial subtask of sentiment analysis, tasked with identifying the sentiment polarities of specific aspect terms in a context. Its main challenges are handling multifaceted sentences with multiple aspect terms and sentiment polarities and ensuring a model’s robustness. They lead to overlapping feature representations, which causes the aspect sentiment classification model to focus on irrelevant words and overlook critical sentiment expressions related to aspect words. This paper proposes a capsule network with position-biased mechanism (PBCapsNet) for as. The model employs the BERT representation, bidirectional gated recurrent units, position-biased mechanism, self-attention mechanism, and capsule network. The position-biased mechanism, comprising position-biased weight and dropout, enables the model to focus on words close to aspect terms, thereby reducing incorrect word involvement. The self-attention mechanism identifies keywords within aspect terms and generates context-specific semantic information representations. Furthermore, the capsule network utilizes feature vectors instead of scalars to represent multi-attribute entity features clearly. We find a way to improve the routing algorithm between capsule layers by introducing high-level capsule coefficients and sharing parameters globally during the iterative update process, addressing feature overlaps in some single-sentence texts to some extent. Extensive experiments on SemEval2014-2016 laptop and restaurant datasets verify that the performance of the PBCapsNet model is significantly better than the existing baseline models.
Use of GIS and Multi-criteria Analysis for Land Use Planning in Developing Countries: A case study of Land Use Suitability Analysis for Urban Development of Lalitpur District Nepal
Authors: Thapa Narayan , Pant Pragya , Parsai Ritika , Mahata Aayush , Dulal Sujan
Published: August 2023

Nepal is facing rapid urbanization leading to unplanned land development/use. This research paper focuses on conducting a comprehensive land use suitability analysis for urban development in Lalitpur District, Nepal. By employing Geographic Information System (GIS) and Multi-criteria Analysis (MCA) techniques, this study aims to provide valuable insights into identifying suitable area for urban development and facilitating valuable insights into identifying suitable area for urban expansion and opening doors for informed decision making by planner and policy makers. Factors such as road network, existing infrastructure which include land cover, population density, flood sensitivity, slope, digital elevation model (DEM), (brick factory, land fill site), the study identified suitable areas for urban development in Lalitpur District. We divided the study area into four suitability classes: highly suitable, moderately suitable, marginally suitable, and not suitable. From our case study we found out that the highly suitable regions are typically flat, have low population densities, areas close to infrastructure, far away from landfill site, flood region and brick factory. Moderate suitable areas are typically hilly, have higher population densities, and areas farther from infrastructure. Marginal suitable areas are in floodplains, have steep slopes, and are near to industrial areas. Not suitable areas are too steep, highly prone to flood, too close to industrial areas, and have high population density. The findings of the analysis emphasize the importance of considering environmental factors in land use planning and urban development. It highlights the need to preserve green spaces, protect water bodies, and ensure the long-term well-being of residents. The results provide valuable insights for decision-makers and urban planners, enabling them to make informed decisions and allocate resources effectively.
A Study on Correcting Magnetic Field Calibration Coefficients in Full-Disk Magnetograph onboard the Advanced Space based Solar Observatory (ASO-S/FMG)
Authors: Liu Suo , Su Jiangtao , Bai Xianyong , Deng Yuanyong , Chen Jie , Song Yongliang , Wang Xiaofan , Xu Haiqing , Yang Xiao
Published: August 2023

Full-disk magnetograph is a main scientific payload onboard the Advanced Space based Solar Observatory (ASO-S/FMG) that through Stockes parameters observation to measure the vector magnetic field.
The accuracy of magnetic field values is an important aspect of checking the quality of FMG magnetic field measurement.
According to the design of FMG, the linear calibration method under weak field approximation is the preferred scheme for magnetic field calibration.
However, the satellite orbit velocity with longitudinal component can affect the position of observed spectral lines, then result in the change of polarization signals strength.
Thus, the magnetic field is modulated by the orbit velocity of satellite. In this paper, through cross calibration betweeen
%FMG and SMAT (Solar Magnetism and Activity Telescope at Huairou Solar Observing Station),
FMG and HMI (Helioseismic and Magnetic Imager onboard Solar Dynamic Observatory), the effects of satellite orbital velocity on the coefficient of magnetic field calibration are investigated.
By comparions magnetic field of FMG and HMI
%, FMG and SMAT
with satellite orbital velocity as auxiliary reference, the revised linear calibration coefficients that depend on satellite orbital velocity are obtained.
Magnetic field of FMG corrected by revised calibration coefficients avoiding the effect of satellite orbital velocity would be more accurate and suitable for scientific research.
Perubahan Pola Ruang Pasca Pandemi dalam Sektor Wisata Khususnya pada Rumah Produktif Perajin Perak Kampung Basen
Authors: Hartono Steffany , Wiyatiningsih
Published: August 2023

Title: Changes in Post-Pandemic Spatial Patterns in The Tourism Sector, Case Study: The Productive House of Silver Artisans in Basen Village
 
The Covid-19 pandemic in recent years has brought many changes to various sectors of life. In the tourism sector, the decline in tourist numbers makes the tourist spots change to maintain existence. This research aims to find changes in the spatial elements and the pattern of productive houses after the pandemic and evaluate resident adaptation to the spatial changes. This research uses a qualitative descriptive method, by raising a study case of three silvers-productive houses affected by the Covid-19 pandemic. Data retrieval is made through observation of changes in resident activity patterns and changes in the interior function of productive houses. Research results in analyzing new elements, space patterns, and residents' adaptation. Changes in spatial patterns experienced by productive houses of silver artisans occurred due to changes in residents' livelihoods due to the Covid-19 pandemic. Changes in semi-fixed elements are found in all case studies, as it is the easiest to manage the needs of its residents. This study will provide insight into the spatial pattern of the silver artist's house in Basen Village and evaluate the resident's adaptation to changes in spatial pattern.
EFFICACY OF TRANS-ARTERIAL RADIO EMBOLIZATION WITH YATTRIUM-90 FOR HEPATIC MALIGNANCIES
Authors:   Interventional Radiology Fellow, King Abdullah Medical City, Makkah, Saudi Arabi., Ali Salem Al Obaiyah Salem , A Munshy Tariq ,   Consultant Interventional Radiologist, King Abdullah Medical City, Makkah, Saudi Arabia., Husain Guzaiz Noha ,   Consultant Vascular and Interventional Radiologist, Medical Imaging Department, King Abdullah Medical City, Makkah, Saudi Arabia., Hamad Mohammed Al Mutarid Mohammed ,   Interventional Radiology Fellow, King Abdullah Medical City, Makkah, Saudi Arabi., Salem Al Alhindi Bandar ,   Assiststantprofessor of Interventional Radiology, Bisha University, Saudi Arabia.
Published: August 2023

Objective: to assess the efficacy of trans-arterial radio embolization with yattrium-90 for end-stage unresectablehepato-cellular carcinoma HCC. Methods:End stage HCC patients who were treated with TARE between May 2019 and January 2023 at King Abdullah Medical City in Makkah, Saudi Arabia, were enrolled in this retrospective cohort study. TARE was performed with resin (SIR-SpheresÂ®) loaded with Yttrium-90 microspheres (SIR-Spheres). 3 and 6 months after the completion of TARE, patients underwent a contrast-enhanced CT or MRI to evaluate their treatment responses, after which imaging follow-up was performed at 2- or 3-weeks intervals.All statistical analyses were performed using the Statistical Package for Social Sciences (SPSS version 25.0 IBM, Armonk, NY, USA). Results:The study included 29 patients. Among them (65.5%) were Males. Interval decrease in size was found in (27.6%), Interval increase in size was observed in (24.1%). furthermore, the tumor was Stable in size in (48.3%).LR-TR Viable was found in (61.9%), LR-TR Nonviable was observed in (19%). Also LR-TR Equivocal was in (19%). Conclusion:TARE is safe and effective in the treatment of unresectable HCC, as it has a safer toxicity profile than chemoembolization, longer time-to-progression, greater ability to downsize and/or bridge patients to liver transplant, and utility in tumor complicated by portal vein thrombosis. TARE can also serve as an alternative to ablation and chemotherapy.