bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk factors contributing to Symptomatic Mini-plates Removal following Orthognathic Surgery: Systematic Review and Meta-Analysis
Authors: Jaber Mohamed , Abouseif Nadin , Hassan Mawada , Elameen Alaa M
Published: December 2023

The use of miniplates for stabilizing bones after orthognathic surgeries, has become increasingly popular for their effectiveness in ensuring stability and promoting swift recovery. However, the post-surgical fate of these miniplates remains a subject of contention among surgeons. Some advocate for their removal, while others suggest leaving them in place. The aims of this study, is to evaluate the incidence, causes, and potential risk factors associated with the removal of miniplates in orthognathic surgeries. A comprehensive meta-analysis was conducted by reviewing studies from various databases like PubMed, Google Scholar, Research Gate, Embase, and Scopus, focusing on publications from 1989 to 2023. Ten studies encompassing a total of 1603 patients which conformed to the inclusion criteria were selected and included in the meta-analysis. With M:F ratio range from 4:1 to 109:141. Total number of miniplates inserted was 5595, and total number of miniplates removed were 294 (5.3%). The most common reasons for miniplates removal were, infection was reported in 161 cases (2.9%), followed by miniplates exposure (34 cases, 0.6%) and palpable plates (23 cases 0.4%). Other indications included pain, patient’s preference, and temperature sensitivity. Relatively less common reasons that resulted in miniplates removal include, sinusitis, second surgery and dental pathology. The mean duration of miniplates removal was 5.5 months with the majority of miniplates (56.1%) were removed from the mandible compared to maxilla. In conclusion, this meta-analysis underscores the importance of miniplate removal in cases where hardware causes diverse complications and physical discomfort. The primary reasons for miniplates removal were infections and plates exposure, with the mandible being the most common site for removal. These findings emphasize the need for continued monitoring to assess the fate of miniplates in orthognathic surgery and provide valuable insights for future clinical decision-making.
Aspect-Targeted Opinion Word Extraction with Aspect Subword Segmentation
Authors: Frank Jacob , Patel Rodolfo , Terry Cleva
Published: December 2023

Contemporary advanced models for aspect-targeted opinion word extraction (ATOWE), which predominantly utilize BERT-based encoders at a word level, have shown limited advancements when integrated with graph convolutional networks (GCNs) for syntactic tree assimilation. Recognizing the prowess of BERT subwords in encapsulating rare or context-poor words, this study pivots from syntactic trees to BERT subwords, omitting GCNs from the structural framework. Our approach, named Aspect-Enhanced Wordpiece Extraction Model (AEWEM), focuses on refining aspect representation during encoding. We propose an input format of paired sentence-aspect, diverging from traditional single-sentence inputs. AEWEM demonstrates superior performance on benchmark datasets, establishing a robust foundation for future explorations in this domain.
Cochlear implant benefits are relevant and stable over time for adult patients with Single Sided Deafness
Authors: Cuda Domenico , Pizzol Erica , Laborai Andrea , Salsi Daria , Ghiselli Sara
Published: December 2023

Recently, the indications for Cochlear Implant (CI) have also been extended to subjects with Single Sided Deafness (SSD) in order to restore binaural hearing.
The primary objective of this study was to investigate the advantages of CI following one year of usage in SSD subjects. Secondarily we want to assess the long-term stability of the CI.
57 participants performed a complete audiological assessment (speech audiometry in quiet and in noise and localization test). For each was also evaluated subjective hearing profile (with Speech Spatial and Qualities_SSQ questionnaire) and the impact of tinnitus (with the use of Tinnitus Handicap Inventory_THI questionnaire)
After one year of CI usage, we observed a significant improvement in speech-to-noise ratio, in sound localization abilities, in the Speech (p-value 0.001) and Spatial (p-value 0.001) subscales of the SSQ questionnaire and in THI questionnaire (p-value 0.001).
The improvements in speech in noise and localization abilities and the reduction of the SSQ and THI questionnaires scores were maintained over time (6th to 60th month follow-up). Only eight participants did not fully utilize the CI.
CI in SSD represents an effective method for improving speech recognition in noisy environments, restoring sound localization abilities, reducing tinnitus and improve subjective listening skills.
Technological Characteristics and Socio-Economic Impacts of Green Practices Adoption: A Case Study of a Manufacturing Company in Ogun State, Nigeria
Authors: Oludele Solaja
Published: December 2023

The study provide insights into the technological characteristics of green practices adoption and the potential benefits they offer in terms of socio-economic development, environmental and public health. The study adopted a cross-sectional research design. A structured questionnaire was developed to collect quantitative data from the participants. The questionnaire include closed-ended questions, Likert scale items, and demographic questions. Both stratified and simple random sampling techniques were employed to select the study participants (government officials, employees, managers, and community members). A total of 321 copies of questionnaires were duly filled and returned. The collected data were analyze using descriptive statistics, such as frequencies, percentages, mean, and standard deviation, were used to summarize the data and provide an overview of the key variables related to green practices adoption. The findings indicate that the manufacturing company in Ogun State, Nigeria, has shown moderate commitment to adopting green practices. While there is room for improvement in certain areas, such as waste-to-energy technologies and green building practices. Additionally, green practices have positively influenced employee well-being and community health, while aligning with the company's commitment to safeguarding the environment and public health.
Adsorption of Heavy Metals from Paint Industry Wastewater Using Activated African Cherry Seed Shell and Brewers Spent Grain
Authors: Oladimeji TEMITAYO ELIZABETH , FAWOLE GBEMISOLA MERCY , EMETERE MOSES , ADEOYE JOHN BUSAYO , ODUNLAMI OLAYEMI ABOSEDE , ABATAN OLUBUNMI GRACE
Published: December 2023

The disposal of heavy metals from industrial wastewater, especially in the paint industry, poses a significant environmental. Activated carbon is already known to play significant roles in removal of heavy metals from waste water. However, inefficiency of activated carbon in heavy metal adsorption has been traced to the inherit chemical properties in the biomass sources. It is proposed in this study that biomass source will have significant effect on its specific surfaces, pore volumes, and pore size distributions. African Cherry Seed Shell (CSS) and brewer's spent grain (BSG) was used in this experimentation. The prepared Activated carbon was carbonized at 5500C before it was activated chemically using phosphoric acid at an impregnation ratio of 1:2.5, 1:5, 1:10. The prepared activated carbon was used to treat the wastewater via batch adsorption for a contact time of 60 minutes and 120 minutes. The batch adsorption efficiency was studied by varying contact time, impregnation ratio which in turn varied surface area. The ion concentration, surface morphology, surface area and pore size, surface active functional group were characterized using Atomic Absorption Spectrometry (AAS), Scanning Electron Microscopy (SEM) analysis, Brunauer-Emmett-Teller (BET) analysis and Fourier Transform Infrared Spectroscopy (FTIR) respectively. It was concluded from the results that both adsorbents are good potential precursors in removal of heavy metals. However, the brewery spent grain was found to be more effective in the removal of lead, copper and chromium as it gave better efficiencies.
Priority-aware Actuation Update Scheme in Heterogeneous Industrial Networks
Authors: Kyung Yeunwoong , Sung Jihoon , Ko Haneul , Song Taewon , Kim Youngjun
Published: December 2023

In the heterogeneous wireless networked control system (WNCS), age of information (AoI) of the actuation update and actuation update cost are important performance metrics. To reduce the monetary cost, the control system can wait for the availability of WiFi network of the actuator and then conduct the update by using WiFi network in an opportunistic manner, but it leads to the increased AoI of the actuation update. To assess this problem, this paper proposes a priority-aware actuation update scheme (PAUS) where the control system decides whether to deliver or delay the actuation update to the actuator by considering the control priority (i.e., robustness of AoI of the actuation update). For the optimal decision, we formulate a Markov decision process model and derive the optimal policy based on Q-learning. Simulation results demonstrate that PAUS outperforms the comparison schemes in terms of the expected reward.
Epidemiology and Genetic Factors Associated with Acanthamoeba Keratitis
Authors: Ilyas Muhammad , Stapleton Fiona , Willcox Mark , Henriquez Fiona , Peguda Hari Kumar , Rayamajhee Binod , Zahid Tasbiha , Petsoglou Constantinos , Carnt Nicole
Published: December 2023

Acanthamoeba keratitis (AK) is a severe, rare protozoal infection of the cornea. Acanthamoeba can survive in diverse habitats and at extreme temperatures. AK is mostly seen in contact lens wearers, whose lenses have become contaminated, or a history of water exposure, and in those without contact lens wear, who have experienced recent eye trauma involving contaminated soil or water. Infection usually results in severe eye pain, photophobia, inflammation, and corneal epithelial defects. The pathophysiology of this infection is multifactorial, including the production of cytotoxic proteases by Acanthamoeba that degrades the corneal epithelial basement membrane and induce the death of ocular surface cells, resulting in degradation of the collagen-rich corneal stroma. AK can be prevented by avoiding the risk factors, which include avoiding water contact such as swimming or showering in contact lenses, and wearing protective goggles when working on the land. AK is mostly treated with an antimicrobial therapy of biguanides alone or in combination with diaminidines, although the commercial availability of these medicines is variable. Other than anti-amoeba therapies, targeting host immune pathways in Acanthamoeba disease may lead to the development of vaccines or antibody therapeutics which could transform the management of AK.
Epidemiological Investigation of Tick-Borne Bacterial Pathogens in Domestic Animals from the Qinghai-Tibetan Plateau Area, China
Authors: Ma Yihong , Jian Yingna , Wang Geping , Li Jixu , Zafar Iqra , Li Xiuping , Wang Guanghua , Hu Yong , Li Hang , Liu Mingming , Yokoyama Naoaki , Ma Liqing , Xuan Xuenan
Published: December 2023

The Qinghai-Tibetan Plateau area (QTPA) features a unique environment that has witnessed the selective breeding of diverse breeds of domestic livestock, exhibiting remarkable adaptability. Nevertheless, Anaplasma spp., Rickettsia spp., Coxiella spp., and Borrelia spp. represent tick-borne bacterial pathogens that pose a global threat and have substantial impacts on both human and animal health, as well as on the economy of animal husbandry within the Qinghai-Tibetan plateau area. In this study, a total of 428 samples were systematically collected from 20 distinct areas within the Qinghai plateau. The samples included 62 ticks and 366 blood samples obtained from diverse animal species, to detect the presence of Anaplasma spp., Rickettsia spp., Coxiella spp., and Borrelia spp. The prevalence of infection in this study was determined as follows: Anaplasma bovis accounted for 16.4% (70/428), A. capra for 4.7% (20/428), A. ovis for 5.8% (25/428), Borrelia burgdorferi sensu lato for 6.3% (27/428), Coxiella burnetii for 0.7% (3/428), and Rickettsia spp. for 0.5% (2/428). Notably, no cases of A. marginale and A. phagocytophilum infections were observed in this study. The findings revealed an elevated presence of these pathogens in Tibetan sheep and goats, with no infections detected in yaks, Bactrian camels, donkeys, and horses. To the best of our knowledge, this study represents the first investigation of tick-borne bacterial pathogens infecting goats, cattle, horses, and donkeys within the Qinghai plateau of the Qinghai-Tibetan Plateau Area. Consequently, our findings contribute valuable insights into the distribution and genetic diversity of Anaplasma spp., Rickettsia spp., Coxiella spp., and Borrelia spp. within China.
A Multimodal Approach to the Treatment of Some Facial Cancers in Dogs
Authors: Melikova Yulia , Vilmis Darya , Kyrindina Anastasia , Sotnikova Larisa , Stepanova Marina , Zaǐtsev Sergei
Published: December 2023

The study of paraneoplastic syndromes in humans has a long history, whereas for domestic animals – only since the beginning of the 21th century. There are various forms of paraneoplastic syndromes; many classifications based on pathogenetic, organ-system principles are described. In accordance with the modern classification, paraneoplastic syndromes are divided into endocrinopathies, hematological paraneoplastic syndromes, gastrointestinal, renal, dermatological, neurological, ophthalmological. The purpose of this study was to develop a scientifically based algorithm for diagnosing ophthalmopathies against the background of paraneoplastic syndrome in dogs, including a multifactorial system of “hormonal-drug treatment” of paraneoplastic ophthalmopathies. The work used a comprehensive methodological approach, including the collection of anamnestic data, clinical examination of the animal, examination of the area of the pathological process, hematological studies, cytomorphological studies, visual diagnostic methods with complete oncological and ophthalmological examinations using the necessary equipment. Treatment for cancer included surgical removal of the tumor, chemotherapy and radiotherapy. The choice of treatment protocol depended on the location of the disease, tumor phenotype (if present) and stage of the malignancy. The only chemotherapy was applied using complex protocols in the treatment of dog lymphomas. Treatment of melanoma in dogs was carried out using an integrated approach which combined methods of surgery, chemotherapy, and radiotherapy. The obtained results can be recommended for use in the diagnosis and treatment of paraneoplastic ophthalmopathies in dogs.
Machine Learning Methods for Handwriting Recognition
Authors: Peng Yibin
Published: December 2023

Machine learning is a fundamental aspect of artificial intelligence that involves the development of algorithms and models that allow computers to learn and make predictions or decisions without explicit programming. With the development of neural networks, back-propagation algorithms and deep learning, machine learning has made breakthroughs in the fields of image recognition, natural language processing and handwriting recognition using machine learning techniques. The advent of deep learning has revolutionized the field of handwriting recognition, using convolutional neural networks, recurrent neural networks, and sequence-to-sequence models to provide solutions that go beyond machine learning methods and significantly improve the accuracy and robustness of handwriting recognition systems. But challenges remain, including the need for large labelled datasets, computational resources and addressing potential biases. As research in deep learning techniques continues to drive handwriting recognition closer towards realisability, machine learning approaches remain at the forefront.
Enhancing Energy Efficiency of Underwater Sensor Network Routing Aiming to Achieve Reliability
Authors: Tarif Mehran , Nouri Moghadam Babak
Published: December 2023

To facilitate wireless communication, ocean exploration, and various environmental and research applications, the underwater Internet of Things has been developed with an infrastructure of acoustic sensor networks. There has been a significant increase in failures and a decrease in the efficiency of the network due to the fluid and challenging underwater environment. Consequently, achieving quality of service (QoS) in underwater networks remains a research area. Supporting QoS in underwater sensor networks is challenging due to resource limitations such as processing power, memory, bandwidth, and power sources. The purpose of this study was to examine the service quality requirements as well as protocols that have been implemented in recent years. Finally, based on quality criteria, we have presented a routing solution based on fuzzy logic, which is more efficient than other recent methods regarding energy consumption rate, JFI, efficiency, and reliability.
Exploring Photon Transmission Dynamics in Harbor Water for Enhanced UWOC Systems
Authors: Chang Chang , Han Xiaotian , Li Guangying , Li Peng , Nie Wenchao , Liao Peixuan , Li Cong , Wang Wei , Xie Xiaoping
Published: December 2023

This study delves into the complex dynamics of Underwater Wireless Optical Communication (UWOC) in varied Harbor water conditions. Focusing on four distinct types of Harbor water, the research employs the Monte Carlo method to simulate photon transmission and analyze critical UWOC characteristics. Key parameters such as the transmitted full divergence angle, received aperture, and Field of View (FOV) are meticulously evaluated for their impact on communication efficacy. The study first explores the relationship between laser power variation, attenuation length, and divergence angle, revealing how different water qualities influence received power and time delay spread. Notably, the received normalized power loss and time delay spread are found to be more significantly affected by communication distance than water quality. In addition, under the condition of small received aperture and FOV, the influence on normalized power loss and time spread is more obvious in Harbor water. The findings offer novel insights into the challenges of UWOC in Harbor waters, particularly in terms of light scattering and absorption properties, and contribute to the optimization of communication systems in such complex underwater environments. Furthermore, the analysis of time pulse spread in turbid water quality is of great significance for the analysis and improvement of underwater wireless optical timing, ranging and positioning.
Impact of immunopathy and coagulopathy on multi-organ failure and mortality in a lethal porcine model of uncontrolled hemorrhagic shock
Authors: Simovic Milomir O. , Bynum James A , Liu Bin , Dalle Lucca Jurandir J. , Li Yansong
Published: December 2023

Background: Uncontrolled hemorrhage is a major preventable cause of death in patients with trauma. However, the majority of large animal models of hemorrhage have utilized controlled hemorrhage rather than uncontrolled hemorrhage to investigate the impact of immunopathy and coagulopathy on multi-organ failure (MOF) and mortality. This study evaluates these alterations in a severe porcine-controlled and uncontrolled hemorrhagic shock (HS) model.
Methods: Anesthetized female swine underwent controlled hemorrhage (22 ml/kg) and uncontrolled hemorrhage by partial splenic resection followed with or without lactated Ringer solution (LR) or Voluven® resuscitation. Blood chemistry, physiologic variables, systemic and tissue levels of complement proteins and cytokines, coagulation parameters, organ function, and damage were recorded and assessed.
Results: HS resulted in systemic and local complement activation, cytokine release, metabolic acidosis, hyperkalemia, MOF, and no animal survival. Resuscitation with LR and Voluven® after HS improved hemodynamic parameters (MAP and SI), metabolic acidosis, hyperkalemia, and survival but resulted in increased complement activation and worse coagulopathy. Compared with the LR group, the HS animal treated with Voluven® had worse dilutional anemia, coagulopathy, renal and hepatic dysfunction, increased myocardial complement activation and renal damage, and decreased survival rate.
Conclusions: Hemorrhagic shock triggers early immunopathy and coagulopathy that appear associated with MOF and death. This study indicates that immunopathy and coagulopathy are therapeutic targets that may be addressed with a high-impact adjunctive treatment to conventional resuscitation.
Antagonistic Behavior by Common Bottlenose Dolphin Tursiops truncatus as Cause of Death for Two Burmeister’s Porpoises Phocoena spinipinnis, in Northern Chile
Authors: Guerra-Correa Carlos , Páez-Godoy Jorge , Van Waerebeek Koen
Published: December 2023

We present the first evidence of lethal interspecific aggressive behavior against Burmeister’s porpoise Phocoena spinipinnis, in a non-predatory context, and the first indications of such behavior in a cetacean from Chilean waters. Two cases, both adult males, are described. Analysis of the fresh tooth rakes, specifically the inter-rake distance, points to common bottlenose dolphin Tursiops truncatus as aggressor. Interdental distances measured on skulls allowed us to exclude Orcinus orca, Globicephala melas, Lagenorhynchus obscurus and Pseudorca crassidens. Evidence of severe blunt trauma, including extensive subdermal hematomas, rupture of pleura and extrusion of lung parenchyma, underscores the level of violent aggression. The reason is unknown but Tursiops truncatus is well-documented to occasionally harass and kill harbour porpoises Phocoena phocoena in the Northern Hemisphere. Considering the scarce information available on the biology and behavioral ecology of Burmeister’s porpoises in Chile and elsewhere, we recommend more systematic field research. Also, as to help formulate effective management measures that can mitigate the main threat for this species in Chile (as in Peru), i.e. fisheries interactions. In Chile, P. spinipinnis is classified as Data Deficient (D.S. N°06-2017), so its real conservation status is unknown.
Knowledge and Perceptions of Climate Change among the Science Students at the University of South Africa
Authors: Chelule Paul Kiprono , Dhlamini Thembekile Smangele , Munganga Justin Wazute
Published: December 2023

Background:. Knowledge and positive perception of climate change are crucial for public participation in activities that contain climate change. Limited studies, particularly in South Africa have reported on the knowledge and perceptions of climate change by university students.

Study Aim: This study aimed to assess the level of knowledge and perceptions of climate change by the science students at the University of South Africa (UNISA).

Methods: This was a quantitative cross sectional survey, undertaken among science students using questionnaire emailed to 500 students in the School of Science through Unisa email system. Bivariate logistic regression was used to test the association between socio-demographics, level of knowledge and perceptions of climate change.

Results: A total of 420 students participated in the study. They were predominantly male (70.3%), mostly younger than 35 years of age. Most of the respondents were in the 2nd (34.7%) and 3rd (33.8%) year of study. Majority of respondents (97.9%) knew and perceived (93.6%) that climate change was happening. Overall, 93.8% of respondents had an excellent knowledge and basic concepts of climate change.

Conclusion: The majority of students were knowledgeable and had positive perceptions about the basic concepts of climate change. However, the year of study was not significantly associated with positive perceptions of climate change. There is need to include climate change modules in South African university curriculum.
Teacher’s Work Values in Public Schools: The Influence of Web-Based Professional Development to Self Efficacyand Resilience in Davao Region
Authors: Almagro Ronald , Flores Loyd
Published: December 2023

This study explores the interplay between web-based professional development, teachers' self-efficacy, resilience, and work values in the context of the Davao Region. The investigation reveals significant findings in three key areas: web-based professional development, teachers' resilience, and teachers' work values. The survey indicates that web-based professional development significantly impacts teachers' self-efficacy, with interaction self-efficacy registering the highest mean score. Moreover, teachers' resilience is manifested across emotional, motivational, and social dimensions, with emotional resilience scoring the highest mean. Teachers' work values, encompassing physical facilities, social environment, job security, new challenges, professional growth, personal growth, and interpersonal relationships, all demonstrate high descriptive equivalents. The study establishes a significant positive correlation between web-based professional development and teachers' self-efficacy, as well as a significant relationship between teachers' resilience and their work values. Furthermore, both web-based professional development and teachers' resilience exert a significant influence on teachers' work values.The conclusions drawn from the study highlight the prominence of web-based professional development, teachers' resilience, and work values in the educational landscape of the Davao Region. The findings underscore the interconnectedness of these factors and their crucial role in shaping the teaching profession. In light of these results, recommendations are made to inform policy decisions and enhance professional development programs for teachers in the region. The study encourages a holistic understanding of the relationships between web-based professional development, self-efficacy, resilience, and work values, aiming to contribute to the continuous improvement of education quality in the Davao Region. Additionally, future research is suggested to delve deeper into specific aspects of teachers' general self-efficacy, social resilience, and interpersonal relationships for a more comprehensive understanding.
Practical Implementation of Visual Navigation Based on Semantic Segmentation for Human-Centric Environments
Authors: Adachi Miho , Honda Kazufumi , Xue Junfeng , Sudo Hiroaki , Ueda Yuriko , Yuda Yuki , Wada Marin , Miyamoto Ryusuke
Published: December 2023

This study focuses on visual navigation methods for autonomous mobile robots based on semantic segmentation results. The challenge is to perform the expected actions without being affected by the presence of pedestrians. Therefore, we implemented a semantics-based localization method that is not affected by dynamic obstacles and a direction change method at intersections that functions even with coarse-grain localization results. The proposed method was evaluated through driving experiments in the Tsukuba Challenge 2022, where a 290 m run including 10 intersections was achieved in the confirmation run section.
Self-Localization Using Trajectory Attractors in Outdoor Environments
Authors: Yamane Ken , Akutsu Mitsunori
Published: December 2023

Self-localization in probabilistic robotics requires detailed, geographically consistent environmental maps, which increases the computational cost. In this study, we propose a simple self-localization method that does not require such maps. In the proposed method, the order structure, such as the mobile robot’s navigation route, is embedded as trajectory attractors in the state space of a nonmonotone neural network, and self-position estimation is performed by processing based on the autonomous dynamics of the network. From experiments, we demonstrated the basic performance of the proposed method, including robust self-localization in complex outdoor environments. Furthermore, self-localization is possible on multiple courses with overlapping paths by suitably varying the network dynamics based on environmental information. While issues remain, this study points to the great potential of neurodynamics-based robotic self-localization.
Path Planning Using a Flow of Pedestrian Traffic in an Unknown Environment
Authors: Ishikawa Kiichiro , Otomo Kei , Osaki Hayato , Odaka Taiga
Published: December 2023

This paper outlines a path planning method for autonomous rovers navigating urban environments without prior mapping, with a particular focus on addressing the Tsukuba Challenge. Our approach utilizes observations of pedestrian and robot movement trajectories to construct path graphs for global path planning. We provide a detailed overview of the autonomous rover’s hardware and software system, as well as a comprehensive description of the path planning algorithm. Our methodology entails extracting and continuously tracking dynamic objects from LiDAR data, resulting in the creation of a path graph based on their observed trajectories. Subsequently, a path aligned with the desired direction is selected. Notably, in indoor experimental settings, our approach proves effective, as the rover successfully generates a path to the goal by closely monitoring and tracking pedestrian movements. In conclusion, this paper introduces a promising path planning methodology and suggests potential areas for further research in autonomous mobility within uncharted environments.
Experimental Study of Seamless Switch Between GNSS- and LiDAR-Based Self-Localization
Authors: Hasegawa Tadahiro , Miyoshi Haruki , Yuta Shin’ichi
Published: December 2023

A self-localization method that can seamlessly switch positions and attitudes estimated using normal distributions transform (NDT) scan matching and a real-time kinematic global navigation satellite system (GNSS) is successfully developed. One of the issues encountered in this method is the sharing of global coordinates among the different estimation methods. Therefore, the three-dimensional environmental maps utilized in the NDT scan matching are created based on the planar Cartesian coordinate system used in the GNSS to obtain accurate information regarding the location, shape, and size of the actual terrain and geographic features. Consequently, seamlessly switching between different methods enables mobile robots to stably obtain accurate estimated positions and attitudes. An autonomous driving experiment is conducted using this self-localization method in the Tsukuba Challenge 2022, and the mobile robot completed a designated course involving more than 2 km in an urban area.
Point Cloud Estimation During Aerial-Aquatic Transition in Monocular Camera-Based Localization and Mapping
Authors: Ratsamee Photchara , Tempattarachoke Pudit , Jirachuphun Laphonchai , Miwa Masafumi , Somprasong Komsoon
Published: December 2023

This paper presents a multi-box interpolation method to estimate point clouds during aerial-aquatic transition. Our proposed method is developed based on an investigation of noise characteristics of aerial point clouds and aquatic point clouds. To evaluate the performance of realistic point cloud estimation, we compare the interpolation method with the Gaussian mixture method. We also investigate how single-box and multi-box approaches deal with noise in point cloud estimation. The simulation and the experimental results show that the estimated point cloud is accurate even when the aerial and aquatic point clouds contain noise. Also, the multi-box concept helps the algorithm to avoid taking unwanted noise into consideration when predicting point clouds.
Data and Knowledge Modelling as the Methodological Foundation of the Digital Humanities
Authors: Gagarina Dinara
Published: December 2023

Digital humanities is a multidisciplinary field that leverages digital technology and methodologies to explore and answer questions pertaining to the humanities. It is a dynamic intersection between the domains of computer science and the humanities, promoting innovation, collaboration, and research at the highest levels. However, as a relatively young field, the methodological foundations of the digital humanities are still being established. This paper seeks to explore the core methodologies that underpin digital humanities. The modelling of data, information, and knowledge can be considered one of the foundations of digital humanities. One of the arguments confirming this is that the development of digital humanities and the development of technologies in general are the development of ways to formalise and present data and knowledge. Science has come a long way from the modelling and computer representation of numbers to generating texts and art on the basis of prescribed inputs. With the advent of artificial intelligence, especially machine learning and deep learning techniques, the potential for more sophisticated and nuanced data modelling in the digital humanities has expanded significantly, linking computational capabilities with humanistic inquiries in unprecedented ways. The article considers the periodization, classification, and trends of approaches and methods for modelling data, information and knowledge in the humanities. The article provides an overview of existing examples and data models of different complexity from various humanities disciplines, including history, linguistics, literary criticism, and cultural studies.
Design Culture’s Perspective on Institutional Repositories: Challenges and Opportunities
Authors: Kun Dorotty
Published: December 2023

This paper aims to identify and summarise the challenges of preserving the outputs of design universities in institutional repositories (IRs) and share the developments and lessons learned from similar fields’ successful projects. For traditional academic disciplines, metadata models and standards are well-developed for publication and preservation practices. Research in this area is presently underrepresented in academia; furthermore, the collections tend to be scattered or hidden. In the last fifteen years, preserving works in repositories has become one of the central issues in design institutions. This study examines the problems and other collections’ responses to these challenges — observations which can be utilised in the field of design where it is difficult to make visible and present the values created in design.
The Dodecahedron and the Basket of Fruit: Architecture in the Age of Artificial Intelligence
Authors: Corbo Stefano
Published: December 2023

Starting from the late 1980s, the advent of digital design—the possibility to ideate, develop, and generate projects via computers—has progressively pushed the disciplinary discourse to rethink architecture’s role in society, as well as its formal manifestations. The contemporary evolution of digital architecture has taken different directions, which are sometimes contradictory and ambiguous in their intents. This paper especially focuses attention on one of those directions—the opportunities that artificial intelligence can offer in the future production and communication of architecture. Recent episodes are analysed and contextualised within the historical antinomy between two diverging worldviews that, since the fifteenth century until the end of the twentieth century, have informed the architectural discourse. These worldviews can be exemplified in the dichotomy between the dodecahedron and the basket of fruit.
The Source-to-Sink Vade-mecum: History, Concepts and Tools | Vade-mecum de l'approche Source-To-Sink: Histoire, Concepts et Outils
Authors: Castelltort Sébastien , Fillon Charlotte , Lasseur Éric , Ortiz Alexandre , Robin Cécile , Guillocheau François , Tremblin Maxime , Bessin Paul , Guerit Laure , Dekoninck Augustin , Allanic Cécile , Gautheron Cécile , Barbarand Jocelyn , Loget Nicolas , Uzel Jessica , Yans Johan , Briais Justine , Al-Reda Mustafa , Baby Guillaume , François Thomas , Roig Jean-Yves , Calassou Sylvain
Published: December 2023

“The Source-to-Sink Vade Mecum: History, Concepts and Tools” is the latest Open-Access addition to the SEPM series Concepts in Sedimentology and Paleontology. In the form of a carry-along vade-mecum, in English and French, this volume offers a comprehensive history of the source-to-sink approach, tracing its origins from early geomorphological thinkers to its current applications in exploration, quantitative geomorphology and paleoclimate research. The reader will gain a deeper understanding of the major controls of erosion, transfer, and deposition, and how they shape landscapes and the sedimentary record. The book also describes the latest developments on the propagation of environmental signals from source to sink. The book contains all the basic science concepts needed to understand the complex interactions between the Earth's surface and its sedimentary systems. Also designed as a text-book for teaching the subject in academia or industry, each concept is carefully explained with dedicated figures, making it easy to understand for both students and professionals. The “S2S Vade-Mecum” also includes a toolbox of methods currently in use for the source-to-sink approach. This toolbox provides a quick overview of the many methods available for reconstructing ancient sedimentary systems from source to sink, making it an ideal reference for students, researchers and practitioners alike. With contributions from leading experts from academia and industry, this volume is an essential resource for anyone seeking a deeper understanding of sedimentology and sedimentary basin evolution. Whether you are a student, researcher, academic or industry professional, the “S2S Vade-Mecum” is a must-have reference that will undoubtedly enhance your knowledge and skills in this dynamic field.
Influence of the feed rate value on the distribution of the Q‑factor along the cone of deformation of a CPR mil
Authors: Tomilo V. A. , Pilipenko S. V.
Published: December 2023

To ensure the formation of the necessary microstructure of pipes made of titanium alloys of the Ti‑3Al‑2,5V type, when they are deformed at cold pilgrim rolling mills, it is necessary to provide certain deformation conditions. In particular, the deformation modes are distributed in such a way as to obtain the necessary Q‑factor distribution along the deformation cone. The purpose of this work is to determine the effect of the feed value on the Q‑factor distribution along the deformation zone during forward and reverse movements of the roll mill stand. 1Various methods of carrying out the CPT process were chosen in terms of feeding and rotating the workpiece during the double stroke of the roll mill stand. The research methods are based on known dependencies describing the effect of true deformations in the sections of the working cone on the Q‑factor in these control sections. Calibration using a mandrel with a curved shape of the working surface was chosen for the analysis. 1 Calculations were made for the case of feeding rate before the forward stroke, turning before the reverse, as well as for the case of feeding and turning in both positions of the roll mill stand. The case of mismatch of the feed size is considered, when the feed before the reverse stroke is larger than before the direct one. The methods of leveling the influence of pipe deformation features in the wall calibration zone on the formation of the necessary microstructure of pipes made of Ti‑3Al‑2.5V alloys are proposed.
Challenges in High Sour Gas Field Development and Non-Metallics Opportunities in Upstream Processes
Authors: Almuhammadi Khaled H. , Parvez Anwar Md. , Buali Mustafa S. , Salazar Vidal Oscar D. , Bukhamseen Ahmed Y.
Published: December 2023

High sour fields beyond 10% H2S concentration are considered one of the severe environments that require suitable tubular components and accessories in upstream environment to ensure sustainable production. Such environments represent a challenging operating envelop where durability and safety are the top concerns due to higher H2S concentration at a higher partial pressure and higher temperature (HPHT). The risk is amplified for the wells with higher than 10% H2S concentration, namely the High H2S wells, and those exceeding 25% H2S concentration which are typically labeled as Ultra-High H2S wells. Corrosion in gas operations can be aggravated in downhole where high H2S at higher temperatures pose additional challenges. Selection of proper material to ensure a sustainable well condition is one of the important elements for the development of these HPHT gas wells. Various challenges were identified, including the selection of cost-effective material which is capable of withstanding short and long term H2S and CO2 partial pressures as well as control generalized CO2 corrosion, sulfide stress cracking (SSC), and stress-oriented hydrogen induced cracking (SOHIC).

With the advancement of Non-Metallics (NM) materials in several applications across the O&G sector, it holds a promise to provide an alternative material solution in lieu of CRA alloy material for the HPHT downhole applications. NM materials are lightweight and they can be designed to withstand higher strength capability in addition to their outstanding corrosion resistance properties in a high H2S environment. Moreover, they can be engineered to fulfill the intended application due to their high design flexibility and durability. In the downhole applications, there is a number of NM products that have been implemented in sour environments, including sealants as well as downhole accessories and tools, where the list of NM technologies is considerably growing.

This paper highlights the concept of using NM products such as coiled tubulars, pressure control equipment and elastomers as well as the challenges on the development and deployment of these key components in high sour fields.
Achieving Reliable and Cost-Effective Wellbore Cleanout in Depleted and Low-Pressure Wells Using CT Conveyed Fluid Oscillation Tool – Case Histories
Authors: Fazal Muhammad Adnan , Saeed Muhammad Salman , Yousuf Saad , Yousuf Arif , Temuri Saqib Jah , Javed Waqar , Rana Muhammad Arif
Published: December 2023

The production revival process through wellbore cleanout is majorly carried out using conventional jetting and rotating tools. The conventional tools effective distance is few times the diameter of nozzle and impact pressure of jet stream in fluid reduces significantly beyond several inches. Effectiveness of these tool is further reduced as they enter larger sized tubing, casing/open hole or due to standoff and are hence not effective for hard scales like barium sulphate. The wellbore cleanout operations become more challenging in depleted fields due to limitation of limited flow rate and lean nitrogen pumping through jetting tools, requiring extra CT trips to change BHA causing NPTs.

Fluid oscillator tools, based on oscillation technology, produces emissions of alternating bursts of fluid that create pulsating pressure waves (300 to 600 Hz) within wellbore and formation fluids. These cyclic pressure waves cause fatigue breaking up wellbore hard scales like barite, paraffin/asphaltene and proppants. Since the FOTs do not have rotating part, it is compatible with high rate and lean nitrogen. The fast cleanout and lean nitrogen compatibility (avoiding extra trips to change BHA) reduces overall intervention time, thus well can be put back on production timely saving upto 50% of overall operations cost.

This paper demonstrates the working principle and three practical applications of FOT at four different wells. The cleanout applications range from packed proppant cleanout to establishing clearance in 7" casing and more than 1,600 ft scale in HT well. The wellbore clearance, in these wells was established in less than 50% time compared to conventional jetting tools, saving more than 20% of overall operations cost.
Development of Novel Delayed Swelling Polymer Gel Particles with Salt Resistance for Enhanced In-Depth Permeability Control
Authors: Wu Yining , Zhang Haiqing , Zhang Liyuan , Huang Yongping , Zhao Mingwei , Dai Caili
Published: December 2023

Prolonged waterflooding or polymer flooding in oil fields often exacerbates reservoir heterogeneity, leading to premature water breakthrough and high water cut, which significantly hinders efficient oilfield development. To address this issue, polymer gel particles have been prescribed to enhance sweep efficiency and augment waterflooding recovery by plugging preferential pathways within the reservoir. However, inherent weaknesses of polymer gel particles, such as fast water absorption and expansion rates in the initial stage and low post-expansion rates, make it difficult to balance in-depth transportation and plugging performance. Additionally, these gel particles are sensitive to ions in the formation water, resulting in reduced expansion rates under high-salinity conditions. Therefore, there are still challenges in the application of polymer gel particles for in-depth permeability control. In this study, a new type of delayed swelling and salt-resistant polymer gel particle was synthesized through inverse emulsion copolymerization. To achieve delayed swelling, we use a degradable crosslinker and hydrophobic monomer to enhance the crosslinked network density and hydrophobicity of gel particles. Our double crosslinked gel particles keep their original size until Day 2, then gradually swell up to 20 days in NaCl solution with a concentration of 15×104 mg·L−1 at 90°C. In comparison, the traditional single crosslinked gel particles show significant disparities in swelling behaviors and quickly swell when just dispersed in a 15×104 mg·L−1 NaCl solution at 90°C, maintaining roughly the same size over the testing period. Coreflooding experiments demonstrate that the residual resistance before and after aging increases from 2.37 to 6.82. The newly synthesized delayed swelling and salt-resistant polymer gel particles exhibit promising potential for overcoming the challenges associated with reservoir heterogeneity and high salinity.
Multiphase superconductivity at the interface between ultrathin FeTe islands and Bi2Te3
Authors: Tkáč Vladimir , Vorobiov Serhii , Baloh Pavlo , Vondracek Martin , Springholz Gunther , Carva Karel , Szabó Pavol , Hofmann Philip , Honolka Jan
Published: December 2023

FeTe monolayer islands situated on a topological insulator Bi2Te3 (0001) surface were recently reported to exhibit the opening of an energy gap below temperatures T ~ 6 K, which can be due to a superconducting phase transition. In this work, we present a magnetic field dependent transport study proving that this gap is indeed of superconducting origin. Upon cooling, several drops in resistance are observed in the temperature range between 6 K and 2 K, indicating multiple transitions. Using the Ginzburg-Landau theory, we show that the critical magnetic field of the dominant high-temperature transition at ~ 6 K is governed by orbital Cooper pair breaking in larger FeTe islands, large enough to exceed the superconductive coherence length\(\xi\). At smaller island sizes, transitions at lower temperatures < 6 K become more prominent, showing significantly increased critical fields dominated by paramagnetic pair breaking. The multiphase superconducting behavior is in line with an observed wide distribution of FeTe islands width 5 nm − 100 nm and seems to reflect disorder effects at the interface to Bi2Te3. The proof of local superconductivity makes the FeTe interface to the topological insulator Bi2Te3 substrate a potential host of topological superconductivity.