bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of SMILE surgical cutting formula based on back propagation neural network
Authors:   Department of Ophthalmology, Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University), Nanjing 210029, Jiangsu Province, China, Yuan Dong-Qing , Yang Chun-Hua ,   Clinical Medical Engineering Department, Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University), Nanjing 210029, Jiangsu Province, China, Zhang Hui ,   Clinical Medical Engineering Department, Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University), Nanjing 210029, Jiangsu Province, China, Wang Ying ,   Clinical Medical Engineering Department, Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University), Nanjing 210029, Jiangsu Province, China, Zhang Wei-Wei ,   Department of Ophthalmology, Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University), Nanjing 210029, Jiangsu Province, China, Gu Liu-Wei ,   Department of Ophthalmology, Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University), Nanjing 210029, Jiangsu Province, China, Liu Qing-Huai ,   Department of Ophthalmology, Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University), Nanjing 210029, Jiangsu Province, China
Published: August 2023

AIM: To predict cutting formula of small incision lenticule extraction (SMILE) surgery and assist clinicians in identifying candidates by deep learning of back propagation (BP) neural network.
METHODS: A prediction program was developed by a BP neural network. There were 13 188 pieces of data selected as training validation. Another 840 eye samples from 425 patients were recruited for reverse verification of training results. Precision of prediction by BP neural network and lenticule thickness error between machine learning and the actual lenticule thickness in the patient data were measured.
RESULTS: After training 2313 epochs, the predictive SMILE cutting formula BP neural network models performed best. The values of mean squared error and gradient are 0.248 and 4.23, respectively. The scatterplot with linear regression analysis showed that the regression coefficient in all samples is 0.99994. The final error accuracy of the BP neural network is -0.003791±0.4221102 μm.
CONCLUSION: With the help of the BP neural network, the program can calculate the lenticule thickness and residual stromal thickness of SMILE surgery accurately. Combined with corneal parameters and refraction of patients, the program can intelligently and conveniently integrate medical information to identify candidates for SMILE surgery.
Effect of a novel tyrosine kinase inhibitor nintedanib on bFGF and VEGF concentrations in a rabbit retinal vein occlusion model
Authors:   The Eye Hospital of Wenzhou Medical University, School of Opthalmology & Optometry, WMU, Zhejiang Eye Hospital, Hangzhou 310000, Zhejiang Province, China, Fang Wei , Qian Zhen-Bin ,   The Eye Hospital of Wenzhou Medical University, School of Opthalmology & Optometry, WMU, Zhejiang Eye Hospital, Hangzhou 310000, Zhejiang Province, China, Li Hai-Dong ,   The Eye Hospital of Wenzhou Medical University, School of Opthalmology & Optometry, WMU, Zhejiang Eye Hospital, Hangzhou 310000, Zhejiang Province, China, Wang Meng-Di ,   The Eye Hospital of Wenzhou Medical University, School of Opthalmology & Optometry, WMU, Zhejiang Eye Hospital, Hangzhou 310000, Zhejiang Province, China, Shen Li-Jun ,   The Eye Hospital of Wenzhou Medical University, School of Opthalmology & Optometry, WMU, Zhejiang Eye Hospital, Hangzhou 310000, Zhejiang Province, China
Published: August 2023

AIM: To evaluate whether a novel tyrosine kinase inhibitor nintedanib could inhibit basic fibroblast growth factor (bFGF) and vascular endothelial growth factor (VEGF) simultaneously for retinal vascular disease in vivo.
METHODS: After a laser induced rabbit retinal vein occlusion (RVO) model was made, 0.5 mg of nintedanib was injected intravitreally in the left eye on the third day while the right eye was as a control. Intracameral samples were taken on the day before laser treatment and days 1, 3, 7, 14, 21, and 28 after treatment. Enzyme-linked immunosorbent assay (ELISA) was used to test the bFGF and VEGF-A concentrations in the aqueous humor.
RESULTS: Both bFGF and VEGF-A rose significantly on the third day after laser treatment in both eyes. In the control eye the bFGF concentration peaked on the 14th day while the VEGF-A concentration dropped rapidly soon after the third day. After nintadanib injection in the study eye, both bFGF and VEGF-A showed a significant reduction on the 4th day (7th day after laser treatment) when compared to the control eye, and kept on low level in the following several weeks.
CONCLUSION: Intravitreal injection of nintedanib can inhibit the expression of bFGF and VEGF in the process of RVO model to a certain extent, which is expected to become a new method for the treatment of retinal vascular diseases or fibrotic diseases.
Recording the direct surgeon’s view with an operating microscopic view improves microscopic ophthalmic surgery training
Authors:   Ophthalmology, Osaka Red Cross Hospital, Tennoji-ku, Osaka 543-8555, Japan, Akimoto Masayuki , Yoshida Miyo ,   Ophthalmology, Osaka Red Cross Hospital, Tennoji-ku, Osaka 543-8555, Japan, Hama Yuki ,   Ophthalmology, Osaka Red Cross Hospital, Tennoji-ku, Osaka 543-8555, Japan
Published: August 2023

AIM: To establish a recording system with a direct view of the surgeon to supplement video recording under an operating microscope, which lacks information on the movement and position of the surgeon's hands, and to facilitate the reproduction of a skilled surgeon's technique by a surgeon in training.
METHODS: A small camera was attached to the operating microscope with a custom adapter. Microscopic surgeon's view and direct surgeon's view through this new camera were recorded in the surgical recording system. Both movies were synchronized and analyzed how do surgeons handle the instruments.
RESULTS: A small camera attached to the operating microscope allowed the surgeon's hands motion to be recorded without interfering with the surgeon's movements. Different surgeons used different methods to manipulate the ultrasound handpiece and the irrigation/aspiration device. Even in the simple paracentesis procedure, different surgeons used different methods. Surgeons-in-training were able to identify and improve their weaknesses by watching synchronized movies of their hand motions and microscopic view.
CONCLUSION: Simultaneous recording the surgical field out of the operating microscopic view by a small camera set on the microscope is comprehensive and improves surgeons-in-training understanding and learning surgeries.
The Belief System Serves as a Disaster Mitigation Mechanism to Preserve the Local Wisdom of the Baduy Tribe
Authors: A'la Afifatul , Mukminan Mukminan , Anisfa Dedes Senja , Putri Annisa Priantari , Farida Wahyu
Published: August 2023

This research aims to explore the belief system that serves as a disaster mitigation strategy in preserving the local wisdom of the Baduy tribe. It is a qualitative study conducted through data collection techniques such as observation, interviews, and documentation. The research findings indicate that the Baduy tribe, residing in the Kendeng Mountains of Banten, faces an uneven and disaster-prone environment, including landslides, floods, forest fires, and environmental degradation. The belief system embraced by the Baduy tribe is known as “Sunda Wiwitan.” It is characterized by the presence of “pikukuh” which serves as a guidelinefor the community’s interaction with the natural environment. These “pikukuh” consist of rules that emphasize the importance of preserving the natural  environment without any alteration. The philosophy contained within the “pikukuh” includes statements such as “Lojor teu menunang dipotong, pondok teu meunang disambung”, “Gunung teu meunang dilebur, lebak teu meunang di rusak”, and “Buyut teu meunang dirobah, larangan teu meunang dirempak.” Each of these philosophies teaches the importance of preserving the environment as a form of disaster mitigation for the Baduy tribe.
The Movement of Sovereignty: From the Power Center to a Network
Authors:   Head, Department of History of State and Law of the Kutafin Moscow State Law University (MSAL), Distinguished Lawyer of the Russian Federation, Doctor of Science (Law), Professor, Isaev Igor A.
Published: August 2023

The sovereignty concept is among the key ones in the present-day political and legal discourse. This article covers separate aspects of development and perception of sovereignty through the concept of power, its hierarchy and network.
Development of Views on the Essence of State Functions in Pre-Revolutionary Russian Legal Studies
Authors:   Applicant for the Degree of PhD of the Department of Theory of Law and Comparative Legal Studies of the Moscow State Institute of International Relations of the Ministry of Foreign Affairs of the Russian Federation, Platonov Anton P.
Published: August 2023

The object of the author’s attention is the theoretical views and developed concepts of prominent Russian jurists of the pre-revolutionary period concerning the doctrine of the functions of the state. Their work became the basis for the formation of a complete theory of state functions in the Soviet science of state and law.
The Church Reform of Catherine the Great: A Social, Legal and Statistical Analysis (on the Example of the Vladimir Governorate)
Authors:   Head of the Department of Economics, Tourism and Mass Communications of the Murom Institute of the Vladimir State University, PhD (History), Associate Professor, Gusarova Marina E.
Published: August 2023

The article examines the position of church and monastery structures as a result of the church reform of Catherine II. F meaningful statistical analysis is carried out using the regulatory framework and archival materials. The conclusion is made about the influence of the process of secularization on the church and monastery system.
Multi-Child Parenting in the System of the Ideological and Demographic Policy of the USSR and the Russian Federation
Authors:   Deputy Chairman of the Council of Deputies of the Krasnoznamensk Town District of the Moscow Region, PhD (Law), Vyshkvartsev Vitaly V.
Published: August 2023

The author uses the historical and legal and the comparative law research methods to show the development of the constitutional law institution of a multi-child family in the USSR and modern Russia.
Criteria for the technical condition of concrete boones
Authors:   Central Research Institute of Transport Construction, Research Center «Sea Shores», Tlyavlin R. M.
Published: August 2023

The classical constructions of concrete boones on rocky and eroded bases used as part of engineering protection structures of the roadbed are considered. Concrete boones are designed to preserve the artificial beach and to create conditions for its formation. In order to determine the defects of both the structures as a whole and their elements, a survey of marine coastal protection structures (concrete boones) was carried out on the section of the Tuapse - Adler railway line of the North Caucasus Railway. Experimental studies of the interaction of waves with concrete boones and the beach on hydrowave models in a wave pool have been conducted. Criteria for the technical condition of concrete boone elements by types of defects have been developed. The division of concrete boones into individual elements according to the degree of weight is carried out. For each significant element of the coastal protection structure, criteria of technical condition by types of defects were obtained. In order to assess the technical condition of concrete boones and determine the necessary measures to ensure their operability, the algorithm is proposed in the form of a scheme. The development of quantitative indicators enables to assess the technical condition of concrete boones and, thus, improve the operation safety of the railway track on the pressing offshore sections. The proposed criteria are taken into account in the development of GOST R 59241-2020 «Coastal protection structures. Rules of inspection and monitoring of technical condition».
Simulation of train movement along the running line using traction calculations
Authors:   Siberian State Transport University, Osipov N. I.
Published: August 2023

Within the framework of the conducted research, the necessity for developing a highly detailed simulation model of interval regulation of train traffic is substantiated. The advantages and disadvantages of current universal and specialized programs of simulation modeling of processes in railway transport are analyzed. By means of the universal simulation tool AnyLogic, the model of train movement along the running line is constructed using traction calculations and implementation of interval regulation. In the model, the agent-based modeling approach is used to simulate train movement modes, the process approach is used to implement the logic of the operation of interval control systems, and the elements of system dynamics are used to calculate the speed of the train. The adequacy of the model is justified by analyzing the train travel times in traction mode along the lines belonging to the four types of track profile with varying the mass of rolling stock and the power of train locomotives.
To the strategic management platform of transport infrastructure
Authors:   V. A. Trapeznikov Institute of Management Problems of the Russian Academy of Sciences, Tsyganov V. V.
Published: August 2023

The challenges of strategic management of the transport infrastructure in the conditions of geopolitical and sanction pressure on Russia are considered. In order to support decision-making concerning its development, it is proposed to use a set of strategic management models successfully applied in strategic planning of the sustainable functioning of the Russian economy, including Siberia, the Russian Arctic and the Far East, as well as in JSC «Russian Railways». The adoption of these and other decisions in the improved model of public administration should be based on the array of data on the conditions of economic entities and internal and external factors affecting them. This requires creation of the national public administration platform. The strategic transport infrastructure management platform should become an integral part of it. As a theoretical basis for its construction, it is proposed to use the theory of large transport systems. On the basis of this theory, a design solution for creation of the strategic transport infrastructure management platform based on the above-mentioned set of models and requirements of regulatory documents is proposed. As an example, one of the subprocesses of the design solution is considered - mathematical modeling and forecasting of the consequences of the onset of new events for transport infrastructure based on the theory of large transport systems. At the same time, the state of the infrastructure is formally determined as a result of the interaction (decision of the game) of interested parties under certain mechanisms of public administration. The solutions of the game of the subjects - users of the transport infrastructure and its efficiency criteria before and after the onset of new events are determined.
Vehicle speed standards in transportation planning using electronic shipping manifests
Authors:   Tver State University, Kurganov V. M. , Gryaznov M. V. ,   Nosov Magnitogorsk State Technical University (NMGTU), Dorofeev A. N. ,   Financial University under the Government of the Russian Federation
Published: August 2023

The development of digital technologies unveils prospects for paperless document management in road transport, which is confirmed by a pilot project on the use of an electronic shipping manifest and a bill of lading. It is important to use the shipping manifest not only as a digital document, but also as a specialized software tool for calculating planned and actual performance indicators of vehicles as part of the enterprise management information system. An algorithm is proposed for constructing the information system for managing transport activities using electronic waybills, which are used as software for calculating planned performance indicators of vehicles and summarizing the results of transportation. The established standards and legal documents regulating the transfer of document flow in the field of road freight transportation to electronic basis are given. The importance of reasonable standards of average technical speed and idle time of vehicles at loading and unloading points for scheduling the performance of freight trucks on routes is illustrated. The factors influencing the value of the average technical and operational speed of a vehicle during transportation are studied and systematized, recommendations on establishing of their regulatory standards are given, formulas for calculating quantitative values are provided. Based on the specified standard of average technical speed, the calculation of the radius of cargo delivery during the day in intercity communication is demonstrated.
Stakeholder approach in implementation of the system of disposal of decommissioned vehicles
Authors:   Ural Federal University (UrFU), Kuznetsova E. Y. , Ovsyannikov D. A. ,   Ural Federal University (UrFU)
Published: August 2023

The problem of the development of reverse logistics has become acute due to the increase in the number of age-related vehicles, which, along with the threat of their safe operation, pose an environmental threat. The key stakeholders are analyzed, their interests and emerging barriers are identified, their consideration formed the basis for formation of scientific and methodological objectives in creation of a unified state system of disposal and recycling, taking into account the possibilities of recycling of freight trucks along with passenger cars. The organizational scheme for creation of the system for disposal of decommissioned vehicles, including key stakeholders, is proposed. The proposal has been put forward to create the Association of Vehicle Processors as a coordinator of a complex infrastructure project of state significance. The information and management interactions between the enterprises of the vehicle recycling system and subjects of the transport system and government agencies are indicated. The key task of creating a data-base of recycling products as the information basis for formation of the recycling system and minimization of waste to be destroyed based on the ideology of reverse logistics is set, and it is assumed that this database will help to appoint the subject responsible for a vehicle at the end of its life cycle as an obligatory element of the system.
Optimization of the route network of urban passenger transport by the example of Yekaterinburg tram traffi c
Authors:   Ural state university of railway transport (USURT), Nevolin Dmitry G. , Tsarikov Aleksey A. ,   Ural state university of railway transport (USURT), Bondarenko Viktor G. ,   Ural state university of railway transport (USURT), Sklyannyy Alexander V. ,   Ural state forestry university (USFU)
Published: August 2023

The article analyzes the tram traffic in the city of Yekaterinburg, identifies duplicate routes. Based on the analysis, a new tram traffic scheme has been developed, taking into account the commissioning of new lines. A new timetable for the movement of wagons has been proposed, which reduces the waiting time for rolling stock.
Passenger-hours as a decision-making criterion for building a route transport network
Authors:   Don State Technical University, Vetrova Tatiana A.
Published: August 2023

The article considers the possibility of using the concept of «passenger-hours» in the issue of operational management of the urban passenger transport network. Calculation formulas for determining passenger-hours of movement and waiting are proposed. Limitations in the application of the proposed indicators are determined.
Improving railway tourism in the Russian Federation
Authors:   Ural state university of railway transport (USURT), Parshina Valentina S. , Moreva Alexandra V. ,   Ural state university of railway transport (USURT)
Published: August 2023

The article discusses the concept, problems and prospects of railway tourism development in Russia. The main problems are highlighted: untimely departure and arrival of trains, inconsistency of service of the proposed train category, untimely and poor-quality repair of locomotives and railway cars, shortage of rolling stock fleet, low qualification of service personnel, etc. The solution to these problems will increase domestic and inbound tourist flows, rationally use the tourism potential of the country.
Methods for improving the performance of wireless Wi-Fi networks
Authors:   Ural state university of railway transport (USURT), Sozykin Arthur A. , Rusakova Elena A. ,   Ural state university of railway transport (USURT)
Published: August 2023

The paper considers the problem of increasing the bandwidth of wireless Wi-Fi networks in limited spectrum conditions. Various technologies are presented: increasing the length of the bit sequence, spatial diversity and multiplexing of signals, the technology of resource allocation in spatial diversity, as well as the method of block data transmission. Based on the conducted research, the further direction of the development of wireless Wi-Fi networks has been determined.
Application of embedded beams for placement of load-bearing platforms of rolling stock derailment control devices
Authors:   branch of Samara State Transport University in Nizhny Novgorod, Krasilnikov Vladimir S.
Published: August 2023

When developing rolling stock derailment monitoring devices, much attention is paid to the choice of load-bearing platforms for placement of monitoring sensors. Existing devices have weak protection of the control electrical circuit from dynamic influences caused by vibrations of the rail-sleeper grid during the passage of the rolling stock, which are transmitted through the rail-sleeper grid to the carrier platform and further to the control sensors, which leads to the false triggering of the devices. The article is devoted to the search for technical solutions for placement of platforms aimed at eliminating the influence of rail vibrations on performance of monitoring sensors. The purpose of the study is to develop recommendations for creating the effective platform design. It is shown that a promising technical solution is the fastening of the carrier platform to the embedded beams.
Indonesian Generation Z’s Intention to Visit South Korea: The Mediating Role of Tourist Attitude on Travel Motivation and Celebrity Endorser Credibility
Authors: Sucisanjiwani Gusti Ayu Citra Arya , Yudhistira Putu Gde Arie
Published: August 2023

Objective: This study examined the effect of travel motivation and celebrity endorser credibility in influencing the intention of the Indonesian Generation Z to visit South Korea, with involved a mediating role of tourist attitude, which refers to the Korean Wave Phenomenon.
Design/Methods/Approach: This study was done by quantitative approach with Partial Least Square Structural Equation Modeling (PLS-SEM) analysis procedure using SmartPLS 4. The data collection technique was purposive sampling, aimed at the Indonesian Generation Z as the target respondent. There were 385 data collected using the online questionnaires.
Findings: The results show that travel motivation and celebrity endorser credibility positively and significantly affect the visit intention to South Korea. Tourist attitude also mediates the relationship between travel motivation and celebrity endorser credibility in affecting the visit intention to South Korea.
Originality: The existing literature discovered the direct effect of travel motivation and celebrity endorser credibility on visit intention in the tourism industry. This study contributes to the existing literature by involving tourist attitude as a mediation variable in the relationship between tourist motivation and celebrity endorser credibility in affecting visit intention to South Korea.
Practical/Policy implication: This study contributes to proposing recommendations for a more effective marketing and promotion strategy for tourism products in South Korea by looking at trends in tourist preferences and involving the role of celebrities as an endorser. Research also contributes to developing literature on marketing and promoting tourism products and tourist behavior literature.
Political Connection, Financial Distress and Cost of Debt: Empirical Evidence from Emerging Country
Authors: Hadiputra Antonius Arya , Windijarto
Published: August 2023

Objective: This study aims to investigate the impact of political connections on financial distress and the firm's cost of debt.
Design/Methods/Approach: The research sample is all companies listed on the Indonesia Stock Exchange from 2010 to 2021, with 3072 observations obtained from OSIRIS Database. This study uses a quantitative approach with panel data regression analysis using E-Views 12 software program to test the hypothesis.
Findings: The results indicate that political connections significantly adversely affect financial distress, while political connections do not affect the cost of debt. In addition, this study also divides companies based on the nature of their political connections. Companies with political connections from the central government, local government, and the military affect financial distress. Meanwhile, only political connections from executive government employees and political connections from families affect the company's cost of debt.
Originality: This research developed the political connection based on its nature to measure the effect of political connection on financial distress and the cost of debt. It extends the previous understanding of the impact of political connections.
Policy implication: The findings are relevant for companies and other stakeholders to be more aware and utilize political connections to make better decisions and for the government to develop guidelines for better disclosure of political connections.
Effects of mechanical box pruning intensity on bud development, vegetative growth, and yield components on cv. Cabernet-Sauvignon in Mendoza, Argentina
Authors: Barcia Fernando , Prieto Jorge , Trentacoste Eduardo Rafael
Published: August 2023

Mechanised winter pruning is increasingly being used to reduce the high costs of manual pruning. Mechanised pruning is non-selective, and for its optimal application, the definition of pruning intensity is necessary to achieve the target yield and grape quality. Our objectives were to evaluate the effects of three intensities of mechanical box pruning compared to a manual pruning treatment on spur length, the number of retained buds, budburst, shoot growth, and development; yield components and berry composition, and vine balance. Treatments corresponded to three mechanical pruning intensities leading to different bud loads at the beginning of the experiment by pruning at different distances from the cordon (i.e., box size): MP1 (1 cm height × 7 cm width), MP2 (14 cm × 14 cm), and MP3 (21 cm × 21 cm). MP2 treatment was also compared to a traditional manual pruning treatment (SP) that was pruned to the same bud/plant in the first season. In the first season, MP2 retained the same bud/plant as SP, but in the second and third seasons, MP2 retained 88 % and 100 % more buds/plant than SP, respectively. Accordingly, MP2 and SP showed no difference in yields in the first season, but in the second season, MP2 showed a 39 % higher yield than SP. Regarding the intensity of mechanical pruning, after treatments were applied, the number of retained buds increased as box size increased. Treatments modified the length of spurs, budburst percentage and their pattern. In the first season, the yield on the highest box (MP3) was four times higher than the smallest box (MP1), but they showed similar yields in the second season. The intensity of mechanical box pruning, applied after two seasons, generated regulatory and compensation mechanisms (i.e., lower budburst and cluster weight), leading to similar yields independently of the pruning intensity. Our results show that (i) after two seasons, mechanical pruning was more productive than manual pruning, and (ii) mechanical pruning intensity had a marked influence on yield only during the first year of application, while some compensation mechanisms among yield components equilibrate yield afterwards.
A New Optimization Design Method of Multi-Objective Indoor Air Supply Using Kriging Model and NSGA-II
Authors: Guo Yu , Wang Yukun , Cao Yi , Long Zhengwei
Published: August 2023

When using meta-heuristic optimization approaches for optimization, a large number of samples are required. In particular, when generating subgeneration, the utilization of existing samples is low and the number of individuals is high. Therefore, surrogate-based optimization has been developed, which greatly reduces the number of individuals in the subgeneration and the cost of optimization. In complex air supply scenarios, single-objective optimization results may not be comprehensive; therefore, this paper developed a double-objective air supply optimization method based on the Kriging surrogate model and Non-dominated Sorting Genetic Algorithms-II. And proposed the infill criteria based on clustering to advance the Pareto Frontier. The method was validated by an inverse prediction case, and in particular, the problems when based on 3D steady-state simulations were analyzed. The results showed that the method can quickly achieve an approximate prediction of the boundary conditions (when prediction were made based on experimental data, the number of simulations was 82 and the average error was 6.8%). Finally, the method was used to optimize the air supply parameters of a dual-aisle, single-row cabin. The Pareto set suggested that an airflow organization with dual circulation may be optimal.
A Survey of Machine Learning Modelling for Agricultural Soil Properties Analysis and Fertility Status Predictions
Authors: Malamsha Augustine Josephat Josephat , Dida Mussa Ally , Moebs Sabine
Published: August 2023

The problem of low soil fertility and limited research in agricultural data driven tools, may lead to low crop productivity which makes it imperative to research in applications of high throughput computational algorithms such as of machine learning (ML) for effective soil analysis and fertility status prediction in order to assist in optimal soil fertility management decision-making activities. However, difficulties in the choice of the key soil properties parameters for use in reliable soil nutrients analysis and fertility prediction. Also, individual ML algorithms setbacks and modelling expert implementation procedures subjectivity, may lead to exploitation of worst fertility level targets and soil fertility status targets classification models performance reported variations. This paper surveys state-of-affair in ML for agricultural soil nutrients analysis and fertility status prediction. Prominent soil properties and widely used classical modelling algorithms and procedures are identified. Empirically exploited fertility status target classes are scrutinized, and reported soil fertility prediction model performances are depicted. The three pass method, with mixed method of qualitative content analysis and qualitative simple descriptive statistics were used in this survey. Observably, the frequently used soil nutrients and chemical properties were organic carbon, phosphorus, potassium, and potential Hydrogen, followed by iron, manganese, copper and zinc. Predominant algorithms included Random Forest, and Naïve Bayes, followed by Support Vector Machine. Model performances varied, with highest accuracy 98.93% and 98.15% achieved by ensemble methods, and the least being 60%. Interdisciplinary ML related researchers may consider using ensemble methods to develop high performance soil fertility status prediction models.
A Review of Smart Construction Site: Research Hotspots and Development Trend
Authors: Wang Tingting , Zhu Lianbo , Lin Lingna
Published: August 2023

With the development of information technology and the wide application of building information modelling technology, the construction industry continues to make digital changes. Managers are trying to apply smart construction site management to promote the upgrading of production modes. We used CiteSpace software to analyze 1707 articles from China National Knowledge Infrastructure, Web of Science and Scopus to understand the current research hotspots of global scholars in this field. Results show that: (1) The number of studies on smart construction sites increases rapidly by year. Researchers from China, America and the UK have the most influential studies. (2) The cooperation between researchers and institutions is not close enough. In addition, the directions of research in the field are still scattered; (3) Chinese scholars are good at building intelligent platforms and evaluating intelligent systems from multiple perspectives. International scholars are willing to pursue technological innovation, allowing the continuous development of intelligent construction technology. (4) The applications in this field have not been popularized despite relatively perfect technology and typical cases. Future scholars should gradually improve the theoretical basis and industry standards of smart construction sites, promote the development of intelligent construction technology and establish the evaluation standards of qualified smart sites. This study will provide scholars in this field with the theoretical basis and research directions for further in-depth research, help construction companies to understand the development status and trend of smart construction sites and accelerate the intelligent transformation of construction companies.
From Nature to the Skies: Exploring Bio-Inspired Polymer Coatings for Aerospace Advancements
Authors: Balakrishnan Thinesh Sharma , Sultan Mohamed Thariq Hameed , Shahar Farah Syazwani , Łukaszewicz Andrzej , Józwik Jerzy , Shah Ain Umaira Md , Grzejda Rafał
Published: August 2023

The aerospace industry demands high-performance materials that can withstand extreme conditions and maintain efficiency in a variety of applications. Bio-inspired polymer coatings have emerged as a promising approach to meet these demands, by drawing inspiration from natural systems to develop new coatings that exhibit enhanced properties, such as self-cleaning, anti-icing, thermal management, and corrosion resistance. In this review, recent developments in the field of bio-inspired polymer coatings for aerospace applications are presented, covering a range of coatings and their respective properties. We discuss the recent developments and applications of bio-inspired coatings, with a focus on their advantages and challenges in aerospace applications. We also highlight the potential for future research and development in this field, including the integration of advanced technologies such as nanotechnology and additive manufacturing. The review aims to provide insights into the current state-of-the-art of bio-inspired polymer coatings for aerospace applications and to inspire further research in this rapidly growing field.
Complete Molar Cervical Previal Pregnancy with Second Healthy Twin and Placental Percretism after Corporeal Hysterotomy One Year Ago
Authors: Habek Dubravko
Published: August 2023

Background: Coexisting monozygotic twin molar pregnancies with a living second fetus are known in the literature, with various outcomes and treatment options. Methods: Clinical praesentation of two separate throphoblastic diseases that became directly conditioned. Results: A 33-year-old nuliparous woman, after autolog insemination one blastocysts with extremely high MoM free BHCG, and in the 17th week of pregnancy, bled profusely where ultrasound found a dilated cervix filled with a mass similar to molar tissue with intact second gestational sac. The gynecologists decided on a laparotomy, so they performed a corporeal hysterotomy at the 19th week of pregnancy. A year later, the patient became pregnant spontaneously with an orderly course of pregnancy until the 30th week. Due to the acute abdomen, an emergency caesarean section is indicated, and after the laparotomy, 1000 mL of fresh blood and clots are found with a 5 cm zone of cicatricial percretism. A freshly dead male newborn 1530 g/ 44 cm, without the effect of the resuscitation procedure. With regard to cicatricial percretism, the gynecologist on duty decides on a supracervical hysterectomy.; Conclusions: The treatment approach to molar pregnancy that influenced the outcome of the second pregnancy and the overall poor reproductive outcome is discussed.
Antioxidant Dimethyl Fumarate Temporarily but not Chronically Improves Intracortical Microelectrode Performance
Authors: Hoeferlin George F , Bajwa Tejas , Olivares Hannah , Zhang Jichu , Druschel Lindsey N , Sturgill Brandon S , Sobota Michael , Boucher Pierce , Duncan Jonathan , Hernandez-Reynoso Ana G , Cogan Stuart F , Pancrazio Joseph J , Capadona Jeffrey R.
Published: August 2023

Intracortical microelectrode arrays (MEAs) can be used in a range of applications, from basic neuroscience research to providing an intimate interface with the brain as part of a Brain-Computer Interface (BCI) system aimed to restore function for people living with neurological disorders or injuries. Unfortunately, MEAs tend to fail prematurely, leading to a loss in functionality for many applications. An important contributing factor in MEA failure is oxidative stress resulting from chronically inflammatory-activated microglia and macrophages releasing reactive oxygen species (ROS) around the implant site. Antioxidants offer a means for mitigating oxidative stress and improving tissue health and MEA performance. Here, we investigate using the clinically available antioxidant dimethyl fumarate (DMF) to reduce the neuroinflammatory response and improve MEA performance in a rat MEA model. Daily treatment of DMF for 16 weeks resulted in a significant improvement in the recording capabilities of MEA devices during the sub-chronic (Weeks 5-11) phase (42% active electrode yield vs. 35% for control). However, these sub-chronic improvements were lost in the chronic implantation phase, as a more exacerbated neuroinflammatory response occurs in DMF-treated animals by 16 weeks post-implantation. Yet, neuroinflammation was indiscriminate between treatment and control groups during the sub-chronic phase. Although worse for chronic use, a temporary improvement (<12 weeks) in MEA performance is meaningful. Providing short-term improvement to MEA devices using DMF can allow for improved use for limited-duration studies. Further efforts should be taken to explore the mechanism behind a worsened neuroinflammatory response at the 16-week time point for DMF-treated animals to assess its usefulness to specific applications.
Altered Blood Molecular Markers of Cardiovascular Function in Rats After Intrauterine Hypoxia and Drug Therapy
Authors: Popazova Olena , Belenichev Igor , Yadlovskyi Oleh , OKsenych Valentyn , Kamyshnyi Aleksandr
Published: August 2023

Many children and adults who have suffered prenatal hypoxia at an early age develop many serious diseases. This disease is an actual problem of pediatric cardiology and little studied. The aim was to analyze the cardioprotective effect of L-arginine, Thiotriazoline, Angioline and Mildronate on the cardiovascular system of rats after prenatal hypoxia. Methods: The experiments were carried out on 50 female white rats; intraperitoneal sodium nitrite solution was administered daily to pregnant female rats after 16 days at a dose of 50 mg/kg. Control pregnant rats received saline. The offspring were divided into groups: 1 – intact; 2 – the control group of rat pups after PH, daily treated with physiological saline; 3 – 6 groups of rat pups after PH, treated daily from the 1st to the 30th day after birth. Heat shock protein HSP70 was determined by enzyme immunoassay, ST2 Nitrotyrosine, eNOS was observed by ELISA. Results: Angiolin showed a high cardioprotective effect even a month after discontinuation of the drug, and after introduction, the highest decrease in ST2, nitrotyrosine was revealed. Thiotriazoline and L-arginine have an antioxidant effect and a positive effect on eNOS expression. increased the concentration of HSP70. Mildronate increased the expression of eNOS and the concentration of HSP70 in the blood of experimental rats after a course of administration, but did not show an antioxidant effect and did not reduce the concentration of nitrotyrosine. The results obtained indicate the cardioprotective effect of modulators of the NO system with different mechanisms of action of drugs after experienced prenatal hypoxia.
Targeting Key Players of Neuroendocrine Differentiation in Prostate Cancer
Authors: Zamora Irene , Freeman Michael R. , Encío Ignacio J. , Rotinen Mirja
Published: August 2023

Neuroendocrine prostate cancer (NEPC) is a highly aggressive subtype of prostate cancer (PC) that commonly emerges through a transdifferentiation process from prostate adenocarcinoma and evades conventional therapies. Extensive molecular research has revealed factors that drive lineage plasticity, uncovering novel therapeutic targets to be explored. A diverse array of targeting agents is currently under evaluation in pre-clinical and clinical studies with promising results in suppressing or reversing the neuroendocrine phenotype and inhibiting tumor growth and metastasis. This new knowledge has the potential to contribute to development of novel therapeutic approaches that may enhance clinical management and prognosis of this lethal disease.
Mixed-Thickness Tunnel access (MiTT) through a linear vertical mucosal incision for a minimally invasive approach in root coverage procedure in anterior and posterior sites: technical description and case series with 1-year follow-up
Authors: Marques Tiago , Santos Nuno Bernardo Malta dos , Sousa Manuel , Fernandes Juliana Campos Hasse , Fernandes Gustavo Vicentis Oliveira
Published: August 2023

Purpose: The goal of this article was to introduce a new technique for root coverage (RC), the Mixed-Thickness Tunnel access (MiTT), approaching a full-split design, showing the results obtained in a case series and demonstrating it step-by-step. Methods: Healthy individuals, non-smokers, and non-diabetics, who were diagnosed with gingival recession (GR) type 1 or 2 (RT1 or RT2). After all necessary evaluations, prophylaxis was performed 14 days before the surgical procedure. Then, after the basics clinical conduct and anesthesia, one or two vertical incision(s) on the mucosa (around 1-2 mm apical to the MGJ), lateral to the papilla base, were done. Initial detachment of the mucosa from the muscles (split design); it was permitted (but not mandatory) to do intrasulcular incisions; from the MGJ to coronal, subperiosteal access was done to raise the full-thickness tunnel. It must communicate up to the gingival sulcus area and the papilla’s base, keeping the papilla’s tip intact. A connective tissue graft was harvested, which was inserted through the linear incision or intrasulcularly. Interrupted sutures were done and may be used as adjunctive material. Results: Nine healthy individuals (7 females and 2 males) aged 19 and 43 years were enrolled. They were treated following the MiTT steps. There were four cases with a single GR, 2 patients with 2 teeth involved, and three with 3 or 4 GR. Seven cases were RT1 and two RT2. All RT1 cases achieved 100% RC, while the mean RC obtained for RT2 was around 80%. Conclusion: MiTT can be considered a more straightforward approach for minimally invasive surgical technique, which is a feasible option to treat RC with a high success rate, predictability, and esthetic preservation. There is a technical sensitivity to performing the full-split design procedure.
MOR-SLAM: A New Visual SLAM System for Indoor Dynamic Environments Based on Mask Restoration
Authors: Yao Chengzhi , Ding Lei , Lan Yonghong
Published: August 2023

The traditional Simultaneous Localization and Mapping (SLAM) systems are based on the 1
strong static assumption, and their performance will degrade significantly due to the presence of 2
dynamic objects located in dynamic environments. To decrease the effects brought by the dynamic 3
objects, based on ORB-SLAM2 system framework, a novel dynamic semantic SLAM system called 4
MOR-SLAM is presented using mask repair method, which can accurately detect dynamic objects 5
and realize high-precision positioning and tracking of the system in dynamic indoor environments. 6
First, an instance segmentation module is added to the front end of ORB-SLAM2 to distinguish 7
dynamic and static objects in the environment and obtains a preliminary mask. Next, to overcome the 8
under-segmentation problem in instance segmentation, a new mask inpainting model is proposed to 9
ensure that the integrity of object masks, which repairs large objects and small objects in the image 10
with depth value fusion method and morphological method respectively. Then, a reliable basic matrix 11
can be obtained based on the above repaired mask. Finally, the potential dynamic feature points 12
in the environment are detected and removed through the reliable basic matrix, and the remaining 13
static feature points are input into the tracking module of the system to realize the high-precision 14
positioning and tracking in dynamic environments. The experiments on the public TUM dataset 15
show that, compared with ORB-SLAM2, the MOR-SLAM improves the absolute trajectory accuracy 16
by 95.55%. In addition, compared with DynaSLAM and DS-SLAM on the high-dynamic sequences 17
(fr3/w/rpy and fr3/w/static), the MOR-SLAM improves the absolute trajectory accuracy by 15.20% 18
and 59.71%, respectively
Prediction of Reflection Seismic Low Frequency Components of Acoustic Impedance Using Deep Learning
Authors: Jiang Lian , Castagna John P. , Zhang Zhao , Russell Brian
Published: August 2023

The unreliable prediction of the low frequency components from inverted acoustic impedance causes uncertainty in quantitative seismic interpretation. To address this issue, we first calculate various seismic and geological attributes that contain low frequency information, such as relative geological age, interval velocity, and integrated instantaneous amplitude. Then, we develop a method to predict the low frequency content of seismic data using these attributes, their high frequency components, and recurrent neural networks. Next, we test how to predict the low frequency components using stacking velocity obtained from velocity analysis. Using all the attributes and seismic data, we propose a supervised deep learning method to predict the low frequency components of the inverted acoustic impedance. The results obtained in both synthetic and real data cases show that the proposed method can improve the prediction accuracy of the low frequency components of the inverted acoustic impedance, with the best improvement in a real data example of 57.7% compared with the impedance predicted using well log interpolation.