bluuebunny/crossref_metadata_2025 huggingface dataset:
CONTROLLING STRESS-DEFORMED TALNAKH ARRAYS BY STRESS UNLOADING
Authors: Golik Vladimir I.
Published: July 2023

Link for citation: Golik V.I. Controlling stress-deformed Talnakh arrays by stress unloading. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 7, рр. 59-65. In Rus.
Relevance. Underground mining of rock massifs of powerful deposits on deep horizons is accompanied by geomechanical phenomena, which are prevented by the construction of artificial structures made of solid mixtures in the developed space. Controlling geomechanics of the massif increases the completeness of subsoil use and is an actual direction of mining production. Objective: detailing the array state management technology by rationally regulating the voltages in the array. Object: arrays of deposits of the Talnakh ore node. Methods: modeling and experiment, the results of which are the basis for the development of a model and recommendations. Results. The paper introduces the assessment of the behavior of natural and artificial massifs differentially for the main deposits of the ore node. The regularities of combining options for unloading arrays from critical stresses are established: with overworking and with a protective layer underworking. The principles of optimization of ore mining technology taking into account the geomechanical features of the arrays are summarized. Measures to increase the volumetric compression of filling mixtures for variants of chamber systems of development are recommended. The results of modeling the influence of the volumes of rock inclusions on the efficiency of field development are presented. A model of ecological and economic assessment of technologies is proposed, taking into account the costs of creating protective layers and reducing the dilution of ores. Unloading of arrays from stresses provides an opportunity to regulate the stress level with a decrease in deformations, including during selective excavation of ores with the abandonment of rock layers in the bowels. Conclusions. Unloading arrays from operating stresses is an effective measure to solve the main problems of subsurface use at the same time. The implementation of this direction in the conditions of localization of the Talnakh ore deposits can be carried out by advanced excavation of the soil layer. The efficiency of working out stress-deformed arrays is achieved by the rational interaction of natural and technological factors of development.
METHOD OF ANALYSIS OF THE STRESS-STRAIN STATE OF A BASE-CENTERING DEVICE AND A PIPELINE WHEN CARRYING OUT THE COMPLEX OF EMERGENCY AND RECOVERY REPAIRS
Authors: Rakhmatullina Yuliya A. , Alekseev Vadim A. , Sultanmagomedov Timur S. , Khasanov Rustyam R.
Published: July 2023

Link for citation: Rakhmatullina Yu.A., Alekseev V.A., Sultanmagomedov T.S., Khasanov R.R. Method of analysis of the stress-strain state of a base-centering device and a pipeline when carrying out the complex of emergency and recovery repairs. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 7, рр.7-16. In Rus.
The relevance of the research is caused by the need to carry out calculations of the stress-strain state of the support-centering device and the pipeline, when the device under consideration is exposed to it, when the axes are displaced due to the presence of residual stresses when carrying out a complex of emergency repair by cutting out a defective section of the pipeline. The purpose of the study is to assess the possibility of using the design of the device and to calculate the stress-strain state of the device when the axes of the boundary sections of the pipeline are displaced due to the release of prestresses during the emergency repair complex for cutting out the defective section of the pipeline. Methods: methods of classical theoretical mechanics, soil mechanics, finite element method. Results. Based on the patent, a preliminary 3D model of the support-centering device and a method for analyzing the boundary conditions and loads affecting the device and the pipeline during the emergency repair complex were developed. The calculation of SSS (stress-strain state) was carried out, where the following results were obtained: when the frame is displaced down/up by 100 mm in the device, respectively, along the length and displacement, stresses arise at the junctions of the enclosing ring and the frame, as well as on the «lugs», exceeding the yield strength of steel; the coefficient of friction μ for the considered diameter of 1020 mm should not exceed 0,15 to prevent the occurrence of areas of plastic deformation of the pipeline during the emergency repair complex for cutting out a defective area in swamp conditions.
CYCLE DIAGRAM OF GEOTHERMAL ENERGY
Authors: Yankovsky Stanislav A. , Lavrinenko Sergey V. , Tsibulskiy Svyatoslav A. , Yankovskaya Natalia S. , Gamov Denis L.
Published: July 2023

Link for citation: Yankovsky S.A., Lavrinenko S.V., Tsibulskiy S.A., Yankovskaya N.S., Gamov D.L. Cycle diagram of geothermal energy. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 7, рр. 122-136. In Rus.
The relevance of the research is caused by the need to develop alternative and environmentally friendly energy sources in conditions of global warming. The development of geothermal energy will make it possible to produce thermal and electric energy without emissions of CO2 into the environment and reduce the dependence of the energy sector on hydrocarbon raw materials. The main aim of this study is a comprehensive analysis of the features of geothermal power plants, including the existing technologies for converting geothermal energy to provide consumers of electric and thermal energy. Objects: diagrams of geothermal power plants operating in different geographical and climatic conditions, as well as their working fluids. Methods: analytical review of thematic publications using the materials of the databases of the RSCI, Scopus and Web of Science, a comparative analysis of the effectiveness of geothermal power plants for various indicators. Results. Currently, there are about 400 geothermal power plants in the world. The active development of geothermal energy is caused by environmental friendliness, low cost of energy produced, minimal operating costs, lack of dependence on atmospheric influences, and the absence of the need to burn fuel, etc. At the same time, most of the world's geothermal power plants use the energy of a geothermal source with a water temperature of 100–200 °C. Among the main thermodynamic cycles and thermal schemes implemented, it is possible to single out direct cycle geothermal power plants with one-stage and two-stage separation of a geothermal source, with direct supply of dry steam to the turbine, binary and combined versions. The analysis shows that direct cycle geothermal power plants have the lowest cost of installed electrical power due to the relative simplicity and high thermal efficiency, but require high parameters of a geothermal source. On the other hand, binary geothermal power plants have the highest unit cost, but can be implemented on geothermal sources with relatively low water parameters, which was the main reason for their greatest spread in the world. At the same time, the implementation of a binary geothermal power plant with a Organic Rankine сycle has a number of advantages compared to the thermodynamic cycles of Kalina, Stirling and Brighton, among which the main ones are relative ease of adaptation and application, as well as low maintenance costs.
Impact of Nutrients on the Development and Yield of Fodder Maize (Zea mays L.): A Review
Authors: Bhaumik Sudip , . Rajeev , Kumar Sourabh , Fayaz Suhail , Choudhary Manisha , Narender K. , Sharma Shailja
Published: July 2023

Maize (Zea mays L.),the most important and multipurpose crops, different environmental condition is suitable for maize crop growing ,and has miscellaneous uses as animal feed and human food. Maize not only provided energy but also provided protein, crude protein, crude fibre, etc. All macro and micro nutrients affect different growth stages of fodder maize crops. Different doses of different nutrients affect differently over the plant enhancement and yield into fodder maize crops. Green fodder plays an important role as a feed o animal husbandry. Nutritious fodders are directly and primarily involved in the growth and production of the dairy department. As a nutritious and non-leguminous feed, fodder maize is the more significant green fodder. The growing time of maize is quick, with high dry matter accumulating, power and is a highly dainty fodder crop. Fodder maize holds adequate quantities of protein, minerals and annexes high digestibility as compared to legume and non-legume fodder crops. Fodder maize is use as silage for preservation due to the presence of high availability of soluble sugars in the early green stage. So, adopt proper macro and micronutrients with the proper dose which help the crop grow quickly and produce good quality fodder crops for animals.
Disaster Rights: Public and Private Responsibility in Safeguarding Human Rights during Environmental Disasters
Authors: Ferrari Flávia Jeane , Séllos-Knoerr Viviane Coêlho de , Souza Netto Antonio Evangelista de
Published: July 2023

Objective: This research aims to examine the construction of Disaster Law, focusing on the allocation of responsibility to private entities and its correlation with Human Rights, Business Law, and Environmental Law spheres. The study intends to clarify the emerging inclusion of human rights, business law, and environmental law as indispensable aspects within the realm of Disaster Law. Method: The research adopts a dialectical method, employing bibliographic and normative analysis to elucidate the integration of human rights, business law, and environmental law as essential components in Disaster Law. Existing documents from international agencies and programs that encompass the legal aspects of environmental disasters will be examined and analyzed to achieve the research objectives. Results: The analysis will shed light on the premises of Disaster Law in alignment with environmental rights and human rights. The research seeks to initiate discussions on the development of a comprehensive legal framework for disasters, encompassing responsibilities of both public and private entities, with the aim of safeguarding inherent human rights. Conclusions: The urgent need for discussions on the establishment of Disaster Law, holding both public and private entities accountable, and ensuring the protection of human rights justifies the significance of this research. By exploring the interconnections between Disaster Law, Human Rights, Business Law, and Environmental Law, this study contributes to the construction of a comprehensive legal framework that addresses the challenges posed by environmental disasters.
Analysis of the customer’s loyalty of the online transportation service Gojek
Authors: Heni Nastiti  , Jenji Gunaedi A  , Dewi Cahyani Pangestuti
Published: July 2023

Gojek has become a widely-known online transportation service in Indonesia, including East Bekasi, a major city that encompasses one of the biggest population numbers, right behind Jakarta. This results in the occurrences of traffic jams and, consecutively, the public’s need for comfortable, fast, and safe transportation. The purpose of this research is to identify, prove and analyze the loyalty of East Bekasi Gojek customers. In this paper, the researched variables include a brand image, promotion, service quality, customer satisfaction and customer loyalty. This research uses a quantitative method, namely the purposive sampling method, using samples from 96 respondents. The data used are gathered from the questionnaire spread, and data analysis is done using SmartPLS 3.0. The result of this research finds that for the direct influence of brand image, promotion, and service quality on customer loyalty, all variables show positive and significant effects, with brand awareness showing an influence degree of 0,350, promotion with 0,364, and service quality with 0,289. As for the indirect influence of brand image, promotion, and service quality towards customer loyalty, brand awareness shows positive and significant effects on the degree of 0,319 while on the other hand, promotion, and service quality show positive yet insignificant effects with promotion being on the degree of 0,222 and service quality on 0,179. As for the indirect influence, the influence towards loyalty through customer satisfaction shows positive and significant effects with brand image on the degree of 0,098, promotion on 0,102, and service quality on 0,081. Meanwhile, the direct joint contribution of brand image, promotion, and service quality for customer satisfaction shows a degree of 81,70%, and indirectly it shows a degree of 82,40%, while the rest of the figure is caused by other factors not included within the model of this research.
A scoping review of literature on the application of swarm intelligence in the object classification domain
Authors: Tsedura Nyaradzo Alice , Chibaya Colin , Bhero Ernest
Published: July 2023

This scoping review aims to explore the various swarm technologies and how they have been used in the object classification domain with the desire to motivate the design of a generic swarm intelligence ontology based on the components of various swarm technologies. We used the PRISMA-ScR as a guide to our scoping review protocol. We conducted a search across thirteen databases and a random search as well on the internet for articles. We performed screening of all the articles by title to remove duplicates, we further on did a screening by the year of publication to ensure that all articles to be considered were published between 2012 and 2022 and we then did abstract or text synthesis. Our search query retrieved 3224 potential articles from the thirteen databases and 10 articles from a random search on the internet making a total of 3234 articles identified. Deduplication and screening were done on the identified articles and 287 articles which satisfied our inclusion criteria remained. We grouped the articles into three categories namely year of publication, swarm technology and swarm application. The year of publication showed a linear trend line which is an indication of growth in the swarm intelligence domain. Of the six categories of aims we identified we voluntarily chose to ignore articles where the aim was not specified. We noticed that 64.9% of articles were aimed at either modifying or improving.  The swarm technology category indicated that 58.54% of the included articles were based on the Particle Swarm Optimization either independently or as part of a hybrid algorithm. 83.97% of the articles used classification as their swarm application. Interesting to note was the appearance of feature selection and optimization in this category. This scoping review gave an overview of how swarm technologies have been used in the object classification domain. Further research can be done by bringing and using existing algorithms in the development of generic swarm intelligence inspired ontologies.
A conceptual framework of gender-based violence and femicide drivers in South Africa
Authors: Mtotywa Matolwandile , Ledwaba Matsobane , Mambo Bekezela , Nkonzo Zenani , Ntshagovhe Rofhiwa , Negota Azwihangwisi
Published: July 2023

Gender-based violence and femicide (GBVF) is a multifaceted complex phenomenon that needs urgent comprehensive attention in South Africa and other similarly or worse-off affected countries. Central to combating and eliminating GBVF starts with a systematic understanding of the drivers of GBVF. The research aims to develop a conceptual framework of drivers of gender-based violence and femicide, which can be applied to different GVBF improvement studies. The conceptual framework was developed using ecological system theory having 20 indicators relating to: microsystem – personal history and individual factors; mesosystem – interpersonal relationships; exosystem – community factors; macrosystem – societal factors; and chronosystem – significant changes over time. The framework interlinking these GBVF drivers allows for the diagnosis of the main drivers of GBVF and estimates its impact on the victims and their families. This, in turn, can help to combat and eliminate GBVF through moderation with GBVF policies and strategies. This study contributes to systematically demystifying of drivers of GBVF, especially in South Africa and similar African countries.
The impact of overconfidence and herding bias on stock investment decisions mediated by risk perception
Authors: Arie Wibowo Muchammad , Khusniyah Indrawati Nur , Aisjah Siti
Published: July 2023

This study examines the impact of overconfidence bias, herding bias, and risk perception on stock investment decisions. This study uses explanatory research with a quantitative approach. The population in this study is the Generation Z Society, the generation born between 1997-2012 in Malang City who invests in the capital market. The sampling technique used in the study was purposive sampling. Data collection was used through surveys using questionnaires, and the use of Likert scales to test instruments. The data were analyzed using Structural Equation Model Partial Least Square (SEM-PLS) modeling. The results of this study indicate that overconfidence bias and herding bias contained in investors can reduce the quality of investment decisions. In addition, overconfidence bias and herding bias can also reduce investors' risk perception. The perception of risk in investors can influence investment decisions and increase the benefits of the investment process. Risk perception can mediate between overconfidence bias and herding bias on investment decisions. The results of this study suggest that investors should minimize the formation of bias when making investment decisions and diversify their portfolios to minimize risk.
How workload impacts the employee performance and how work stress acts as a mediating variable in shoes manufacturing company
Authors: Herdiana Rizky Praditiya , Sary Fetty Poerwita
Published: July 2023

The global industry has been significantly affected by Covid 19, resulting in a reduction in organizational structure, an increase in demand for raw materials and delivery services, and a rise in prices that negatively affect the manufacturing industry. The department responsible for managing these issues is the purchasing department, which will experience a surge in workload and work pressure for its employeesImproving employee performance is a challenge for companies to maintain survival. The thing that needs to be considered is the workload of employees which affects work stress and ultimately causes a decrease in employee performance. The main objective of this research is to examine the effect of workload on performance through work stress. Research using quantitative research methods. The questionnaire has been tested for validity and reliability and distributed to 110 purchasing employees. SmartPLS 3 is used to process data from research results. The results of the study are that there is a negative effect of workload on performance, there is a positive influence of workload on work stress, there is a negative effect from work stress on employee performance, and there is a negative effect of workload on performance through work stress on purchasing employees. The results of this study can be used by companies to improve their performance, especially from factors related to workload and employee work stress.
Russia and the World: 2023 IMEMO Forecast
Authors: Dynkin A. , Baranovsky V. , Kobrinskaya I. , Machavariani G.
Published: July 2023

Abridged English-language version of the annual IMEMO forecast ‘Russia and the World: 2023’ is dedicated to the analysis and the forecast of key trends in the world economy and international relations in 2023. The paper is based on decades-long IMEMO experience in forecast research. The primary focus is on the issues that are of fundamental importance for Russia in the near (2023) and more distant future. Experts come to the conclusion, that the ongoing Ukrainian conflict will have an impact on the situation in the socio-economic, energy, foreign policy, military and political spheres. By a synergetic effect, the military-political conflict is aggravated by its overlap with multiple global deformations caused by the 2019–2021 pandemic as well as climate change, which altogether have resulted in rising food and energy prices. In the world economy, the authors of the paper expect the divergence of country economic growth trajectories and increased competition for technological dominance; the global food problem acquiring crisis traits. In the world trade due to the US–EU and US–UK joint energy security efforts and the growth of oil, petroleum products, and gas trade Transatlantic linkage will grow further. At the global level, the energy transition will take longer and cost significantly more than previously thought. In spite of unprecedented sanctions pressure, the global market offers Russian companies opportunities to circumvent Western sanctions. Also, the sanctions regime is constantly adjusted so that it does not cause excessive damage to the functioning of world markets and the economies of the sanctioning countries. When the world enters a post-conflict phase, the key factors affecting the world order will be: the format of US–China relations development – fierce competition vs. economic and military-political confrontation; the dynamics of Transatlantic relations; Russia's policies and the emergence or absence of opportunities to normalize its relations with the West.
BRAIN Band-Aid: RFID Chips and Astrocyte potentiation
Authors: Reed Rheygan , Jones Jr. Erick
Published: July 2023

In comparison to research conducted at Boston University, research was completed using a “heart band aid.” Dr. David Bishop at Boston University is the developer of living “Band-Aids” to repair heats damaged by heart attacks. Dr. Bishop’s approach was taken and used for the brain. It may be possible to find a solution by enclosing brain organoids with a miniature RFID chip that can detect electrical signals from the brain and transmit them to smart devices, thereby stimulating astrocyte activation and neuronal cell proliferation in vitro. A smart "Alzheimer's brain band aid" that can mend, grow, and transmit the state of AD symptoms holds long-term promise. The growth of astrocyte cells cultivated on RFID chips was successful, which was a sign of positive results.
Optimization of Production and Inventory Control
Authors: Chandan Vemisetty Sai Abhi , Teja Sangepu Shiva , Harsha Achyutuni Venkata Naga Sri , Devendra Doshi Parth , Umair Mohammed Abdul Momin , Jones Jr. Erick
Published: July 2023

Production and inventory management are two interconnected concepts that are crucial to the success of any physical product-driven organization. Production management consists of planning, coordinating, and regulating the manufacturing process to guarantee that things are produced effectively, on schedule, and in sufficient numbers. This process often entails managing production resources such as people, materials, and equipment to fulfill production targets while minimizing waste and increasing productivity. On the other hand, inventory management is the management of a company's stock of finished items, work in progress, and raw materials. It is concerned with ensuring that the appropriate quantity of inventory is available at the appropriate time to fulfill customer demand while reducing the expenses associated with surplus inventory. Effective production and inventory management are required for businesses to satisfy client demand, sustain profitability, and compete in the market. Businesses may cut costs, enhance productivity, and raise customer happiness by streamlining manufacturing processes and successfully controlling inventory levels.
Analisis pengaruh faktor ekonomi terhadap kriminalitas di Kabupaten/Kota Daerah Istimewa Yogyakarta
Authors: Wicaksono Afi Satrio , Suharto
Published: July 2023

Objective – This study aims to analyze the effect of economic factors on crime in the District/City of the Special Region of YogyakartaMethods – This study used secondary data collected from the DIY Regional Police, Bappeda and BPS. The analytical method in this study uses panel data regression which produces the best model, namely the fixed effect.Findings – The results of the study show that the variables of poverty and education have a positive and significant effect on the amount of crime in the Regency/City of the Special Region of Yogyakarta while the variables of GRDP per capita and unemployment do not have a significant effect on the crime rate in the Regency/City of the Special Region of Yogyakarta.Implication – The government needs to control poverty and improve education so that the crime rate in DIY will decreaseOriginality – This study focuses on analyzing the influence of economic factors on crime in the District/City of the Special Region of Yogyakarta

 

AbstrakTujuan – Penelitian ini bertujuan untuk menganalisis pengaruh faktor ekonomi terhadap kriminalitas di Kabupaten/Kota Daerah Istimewa YogyakartaMetodes – Penelitian ini menggunakan data sekunder yang diambil melalui Polda DIY, Bappeda, dan BPS. Metode analisis dalam penelitian ini menggunakan regresi data panel yang menghasilkan model terbaik yaitu fixed effect.Temuan – Hasil penelitian menunjukkan bahwa variabel kemiskinan dan pendidikan berpengaruh positif dan signifikan terhadap jumlah kriminalitas di Kabupaten/Kota Daerah Istimewa Yogyakarta sedangkan variabel PDRB per kapita dan pengangguran tidak berpengaruh secara signifikan terhadap kriminalitas yang ada di Kabupaten/Kota Daerah Istimewa Yogyakarta.Implikasi – Pemerintah perlu mengendalikan kemiskinan dan meningkatkan pendidikan agar tingkat kriminalitas di DIY semakin menurunOrisinalitas – Penelitian ini focus untuk menganalisis pengaruh faktor ekonomi terhadap kriminalitas di Kabupaten/Kota Daerah Istimewa Yogyakarta
Analisis pengaruh modal, tenaga kerja, lama usaha dan jam kerja yang mempengaruhi pendapatan pada UMKM Coffee Shop di Kecamatan Mandau, Kabupaten Bengkalis, Provinsi Riau
Authors: Anjali Mutia , Susantun Indah
Published: July 2023

Purpose – This study aims to analyze the effect of business capital, labor, length of business, working hours affect the income of coffee shop SMEs in Mandau District, Bengkalis Regency, Riau Province.Methods – This study uses primary data, data obtained through surveys. The analytical method used is multiple linear regression.Findings – The results of this study indicate that the variables of business capital, labor, length of business, and working hours affect the income of Coffee Shop SMEs in Mandau District, Bengkalis Regency, Riau Province.Implication – The local government makes it easy for SMEs to obtain capital to develop coffee shop SMEs that contribute to regional economic growth. Increasing labor productivity through coffee shop business skills training. Originality – This study contributes to analyzing the factors that affect the income of coffee shop SME entrepreneurs in Mandau District, Bengkalis Regency, Riau Province.

AbstrakTujuan – Penelitian ini bertujuan untuk menganalisis pengaruh modal usaha, tenaga kerja, lama usaha, jam kerja terhadap pendapatan UKM coffee shop di Kecamatan Mandau Kabupaten Bengkalis Provinsi Riau.Metode – Penelitian ini menggunakan data primer, data diperoleh melalui survey. Metode analisis yang digunakan adalah regresi linier berganda.Temuan – Hasil penelitian ini menunjukkan bahwa variabel modal usaha, tenaga kerja, lama usaha, dan jam kerja berpengaruh terhadap pendapatan UKM coffee shop di Kecamatan Mandau, Kabupaten Bengkalis, Provinsi Riau.Implikasi – Pemerintah daerah memberikan kemudahan UKM mendapatkan modal untuk mengembangkan UKM coffee shop yang mempunyai kontribusi dalam pertumbuhan ekonomi daerah. Meningkatkan produktivitas tenaga kerja melalui pelatihan ketrampilan usaha coffee shop.Orisinalitas – Penelitian ini berkontribusi dalam menganalisis faktor yang mempengaruhi pendapatan pengusaha UKM coffee shop di Kecamatan Mandau, Kabupaten Bengkalis, Provinsi Riau
FSI Application in the Parametric Analysis of Blade-Disc Connection of Turbojet Engine Compressor
Authors: Grzejszczak-Pączek Olga , Kozakiewicz Adam
Published: July 2023

In the following work, the assessment of the strength properties of the critical area of the rotor stage of the turbine jet engine was undertaken. This is the place of fixing the blade in the rotor disc. An important aspect of this issue are characteristic geometrical dimensions and operating factors e.g., change in rotor speed. In this paper, the assessment of the strength properties of the existing trapezoidal blade-disc connection was undertaken using parametric analysis considering FSI. Virtual models of the compressor rotor stage were developed, including parametric blade-disc connections and discrete models for FEM and CFD analyses. In the parametric analysis of the blade-disc connection, one-way fluid-structure coupling was used. The parametric analysis was aimed at assessing selected geometric parameters in terms of their impact on the maximum reduced stresses in the blade root. It was examined how the adopted value of the friction coefficient influences the maximum reduced stresses in the rotor stage of the compressor.
Residual Attention Mechanism for Remote Sensing Target Hiding
Authors: Yuan Hao , Shen Yongjian , Lv Ning , Li Yuheng , Chen Chen , Zhang Zhouzhou
Published: July 2023

Remote sensing imagery is of great significance for policy decisions, especially for disaster assessment and disaster relief. To ensure the privacy and inviolability of personal buildings, the information containing these buildings must be anonymized during the remote sensing mapping process. Traditional processing methods for these targets in remote sensing mapping are mainly based on manual retrieval and image editing tools, which are inefficient. Deep learning provides a new direction for target hiding. Although the image inpainting method based on deep learning is faster than the manual method, the cost of training calculation is a disadvantage. And the element-wise product operation used in the model increases the risk of vanished or exploded gradients. We propose a Residual Attention Target Hiding (RATH) model for remote sensing target hiding based on deep learning. RATH uses residual attention modules to replace gated convolutions, reducing parameters and mitigating gradient issues. The residual attention module preserves gated convolution performance but provides an adjustable kernel size. RATH retains gated convolutions for dynamic feature selection and balances model depth and width. Furthermore, this paper modifies the contextual attention layer by adjusting the fusion process to enlarge the fusion patch size. Finally, we extend the edge-guided function to preserve the original target information and confound viewers. Ablation studies on an open dataset prove RATH’s efficiency for image inpainting and target hiding. RATH achieves state-of-the-art results with lower complexity. And it has the highest similarity for edge-guided target hiding. RATH enables robust, efficient target hiding for privacy protection in remote sensing imagery while balancing performance and complexity. Experiments show RATH's superiority over existing methods in hiding arbitrary-shaped targets.
Continuous Deutsch Uncertainty Principle and Continuous Kraus Conjecture
Authors: KRISHNA K. MAHESH
Published: July 2023

Let $(\Omega, \mu)$, $(\Delta, \nu)$ be measure spaces and $\{\tau_\alpha\}_{\alpha\in \Omega}$, $\{\omega_\beta\}_{\beta \in \Delta}$ be 1-bounded continuous Parseval frames for a Hilbert space $\mathcal{H}$. Then we show that \begin{align}\label{UE} \log (\mu(\Omega)\nu(\Delta))\geq S_\tau(h)+S_\omega (h)\geq -2 \log \left(\frac{1+\displaystyle \sup_{\alpha \in \Omega, \beta \in \Delta}|\langle\tau_\alpha , \omega_\beta\rangle|}{2}\right) , \quad \forall h \in \mathcal{H}_\tau \cap \mathcal{H}_\omega, \end{align} where \begin{align*} &\mathcal{H}_\tau := \{h_1 \in \mathcal{H}: \langle h_1 , \tau_\alpha \rangle \neq 0, \alpha \in \Omega\}, \quad \mathcal{H}_\omega := \{h_2 \in \mathcal{H}: \langle h_2, \omega_\beta \rangle \neq 0, \beta \in \Delta\},\\ &S_\tau(h):= -\displaystyle\int\limits_{\Omega}\left|\left \langle \frac{h}{\|h\|}, \tau_\alpha\right\rangle \right|^2\log \left|\left \langle \frac{h}{\|h\|}, \tau_\alpha\right\rangle \right|^2\,d\mu(\alpha), \quad \forall h \in \mathcal{H}_\tau, \\ & S_\omega (h):= -\displaystyle\int\limits_{\Delta}\left|\left \langle \frac{h}{\|h\|}, \omega_\beta\right\rangle \right|^2\log \left|\left \langle \frac{h}{\|h\|}, \omega_\beta\right\rangle \right|^2\,d\nu(\beta), \quad \forall h \in \mathcal{H}_\omega. \end{align*} We call Inequality (\ref{UE}) as \textbf{Continuous Deutsch Uncertainty Principle}. Inequality (\ref{UE}) improves the uncertainty principle obtained by Deutsch \textit{[Phys. Rev. Lett., 1983]}. We formulate Kraus conjecture for 1-bounded continuous Parseval frames. We also derive continuous Deutsch uncertainty principles for Banach spaces.
Dark Current Analysis on GeSn p-i-n Photodetectors
Authors: Ghosh Soumava , Sun Greg , Morgan Timothy A. , Forcherio Gregory T. , Cheng Hung-Hsiang , Chang Guo-En
Published: July 2023

Group IV alloys of GeSn have been extensively investigated as a competing material alternative in short-wave to mid-infrared photodetectors (PDs). The relatively large defect densities present in GeSn alloys are the major challenge in developing practical devices, owing to the low-temperature growth and lattice mismatch with Si or Ge substrates. In this paper, we comprehensively analyze the impact of defects on the performance of GeSn p-i-n homojunction PDs. We first present our theoretical models to calculate various contributing components of the dark current including minority carrier diffusion in p- and n-regions, carrier generation-recombination in the active intrinsic region, as well as the tunneling effect. We then analyze the effect of defect density in the GeSn active region on carrier mobilities, scattering times and the dark current. A higher defect density increases the dark current, resulting in reduction in detectivity of GeSn p-i-n PDs. In addition, at low Sn concentrations, defect-related dark current density is dominant, while the generation dark current becomes dominant at a higher Sn content. These results point to the importance of minimizing defect densities in the GeSn material growth and device processing, particularly for higher Sn compositions necessary to expand the cutoff wavelength to mid- and long-wave infrared regime. The study provides more of realistic expectations and guidelines for evaluating GeSn p-i-n PDs as a competitor to the III-V and II-VI-based infrared PDs currently on the commercial market.
Impact of SLC22A1 Variants rs622342 and rs72552763 on HbA1c and Metformin Plasmatic Concentration Levels among Mexican DMT2 Patients
Authors: Ortega-Ayala Adiel , Bartolo-Montiel Carlos M. , De Andrés Fernando , LLerena Adrián , Molina-Guarneros Juan Arcadio
Published: July 2023

This study reports on allelic and genotypic frequencies of OCT1, OCT2, OCT3 polymorphisms among metformin-treated DMT2 patients. It also reports the association with HbA1c control on 59 DMT2 patients. They were genotyped through real-time PCR (TaqMan assays). Metformin plasmatic levels were determined through mass spectrometry. Neither the analysis of HbA1c control by SNPs in SLC22A1, SLC22A2, and SLC22A3, nor the dominant genotypic model analysis yielded statistical significance across genotypes in polymorphisms rs72552763 (p=0.4678), rs622342 (p= 0.2215), rs316019 (p=0.2209), and rs2076828 (p=0.215). HbA1c levels were different in rs72552763 (p= 0.0220) and rs622342 (p=0.0093) genotypes. The dominant genotypic model found the lowest HbA1c levels by GAT/GAT (p= 0.0058) and A/A (p=0.0108), in rs72552763 and rs622342 respectively. We may conclude that rs72552763 and rs622342 polymorphisms in SLC22A1, exercise a relevant effect in metformin response determined by HbA1c levels among Mexican-Mestizo DMT2 patients.
Partial pulpotomy in young permanent teeth: A systematic review and meta-analysis
Authors: Camoni Nicole , Cagetti Maria Grazia , Cirio Silvia , Esteves Marcella , Campus Guglielmo
Published: July 2023

Introduction: The aim of the present systematic review was to evaluate the clinical and radiographic success of partial pulpotomies in deep caries processes or post-eruptive defects in young, vital permanent teeth. Methods: Electronic databases, PubMed, Scopus, and Embase, were searched, followed by a manual search. Randomized controlled trials evaluating partial pulpo-tomy with a follow-up period of ≥12 months were included. Meta-analyses using a random effect model were performed. Results: A total of 3.127 articles were retrieved, and after duplicate re-moval, 2.642 were screened by title and abstract; 1 additional article was found during the manual search in the reference lists, and 79 were identified. Finally, 6 papers were included in the review. Regardless of the partial pulpotomy modalities or material used, there were no signifi-cant differences between clinical and radiographic success rates (cumulative success rate 91,8%-92,3%, respectively). Five studies were included in the meta-analysis that did not indicate any statistically significant differences in success rates when Mineral Trioxide Aggregate was compared to other materials (95% CI 0,239 to 1,016 p=0.055). Conclusion: This research system-atically evaluates the evidence and summarises the available data on partial pulpotomy in young permanent teeth. Given its high clinical and radiographic success rate, partial pulpotomy should be considered when vital pulpal therapy needs to be performed in highly damaged young per-manent teeth, as this procedure provides a biological benefit and allows more invasive endodon-tic treatments to be postponed.
Economic Growth, Distribution, and Health Inequality: Implications Based on Panel Analysis of Organization for Economic Cooperation and Development Data
Authors: Han Sangik
Published: July 2023

This study analyzes the effect of economic growth and income distribution on health inequality using data from the Organization for Economic Cooperation and Development (OECD). A panel analysis was conducted by combining 21 years of data (from 2000 to 2020) from 38 OECD countries. Life expectancy and avoidable mortality were set as the dependent variables; gross domestic product and poverty gap were set as the independent variables; body mass index, consumption, smoking rate, healthcare personnel, number of beds in health service facilities, national medical expenses, and unemployment were set as control variables. First, economic growth and poverty gap significantly affect life expectancy and avoidable mortality. It has been confirmed that to resolve health inequality, growth during growth and distribution must be prioritized. Second, it has been confirmed that as the poverty gap increases, life expectancy increases and the avoidable mortality rate decreases. A mechanism different from the existence of a medical security system targeting the lowest class or an increase in the welfare of society worked. In conclusion, as a policy proposal to alleviate health inequality, this study suggests that policy intervention is necessary to block or alleviate the negative impact of income inequality in health care policies.
Resilience 4.0: Charting the Path to the Future with a Literature Review
Authors: Di Nardo Mario , Gallab Maryam , Salvatore Amato , Dubbioso Gianluca Raffaele , Vaiola Francesco
Published: July 2023

The Industry 4.0 represents new era of production, characterized by a deep integration between digital technologies and physical systems. Cyber physical systems, cyber resilience protection and workers' safety are key elements of this transformation. To ensure the benefits of Industry 4.0 realized in a secure way, it is crucial to focus on workers' safety, cyber resilience protection and human-centric and CPS systems security and privacy. However, to fully realize the potential of Industry 4.0, it is important to address these challenges and ensure that the benefits of digitalization are balanced with the needs of workers and the protection of critical infrastructure. The concept of Industry 5.0 is emerging as the next step in this evolution, emphasizing the importance of sustainability, human-centered design, and a focus on creating a better future for all.
Renal Disorders with Oral BRAF Inhibitors in Metastatic Colorectal Cancer: An Analysis from the FDA Adverse Event Reporting System Database
Authors: Russo Giulia , Barbieri Maria Antonietta , Sorbara Emanuela Elisa , Cicala Giuseppe , Franchina Tindara , Santarpia Mariacarmela , Silvestris Nicola , Spina Edoardo
Published: July 2023

Background: This study assessed the nephrotoxicity of oral BRAF inhibitors (BRAFi), regorafenib (REG) and encorafenib (ENC), in metastatic colorectal cancer (mCRC), through an analysis of re-ports from the US Food and Drug Administration's Adverse Event Reporting System (FAERS) da-tabase.
Methods: A descriptive and disproportional analyses were performed for all reports with ENC and REG as the primary suspect.
Results: A total of 379 reports had at least one renal ADR, mainly related to REG (93.1%). Potential safety signals for REG particularly included chromaturia (n = 44; ROR = 12.00, CI 95% = 8.92-16.16; IC = 2.36, IC025-IC075 = 2.06-2.66), hydronephrosis (10; 8.70, 4.67-16.19; 1.85, 1.23-2.47), nephrotic syn-drome (7; 5.73, 2.73-12.03; 1.47, 0.73-2.21), renal impairment (53; 4.16, 3.17-5.45; 1.39, 1.12-1.66), dys-uria (19; 3.06, 1.95-4.81; 1.06, 0.61-1.52), renal failure (38; 1.66, 1.20-2.28; 0.49, 0.17-0.81), and acute kidney injury (AKI) (43; 1.46, 1.08-1.97; 0.37, 0.07-0.67). For ENC, consistent disproportionalities were observed for AKI (n = 11; ROR = 3.79, CI 95% = 2.09-6.90; IC = 1.32, IC025-IC075 = 0.72-1.91) and dysuria (4; 6.50, 2.43-17.39; 1.86, 0.88-2.85).
Conclusions: These findings highlighted some not extensively reported renal ADRs that required further investigations to better characterize the safety profile of BRAFi in patients with mCRC.
Tracking Control of Uncertain Neural-Network Systems With Preisach Hysteresis Inputs: A New Iteration-Based Adaptive Inversion Approach
Authors: Lai Guanyu , Deng Gongqing , Yang Weijun , Wang Xiaodong , Su Xiaohang
Published: July 2023

To describe the hysteresis nonlinearities in smart actuators, numerous models have been presented in the literature, among which the Preisach operator would be the most effective one due to its capability in capturing multi-loop or sophisticated hysteresis curves. When such an operator is coupled with uncertain nonlinear dynamics, especially in noncanonical form, it is a challenging problem to develop techniques to cancel out the hysteresis effects, and at the same time achieve asymptotic tracking performance. To resolve this problem, in this paper, we investigate the problem of iterative inverse-based adaptive control for an uncertain noncanonical nonlinear systems with unknown input Preiasch hysteresis, and a new adaptive version of the closest match algorithm is proposed to compensate for the Preisach hysteresis. With our scheme, the stability and convergence of the closed-loop system can be established. The effectiveness of the proposed control scheme is illustrated by simulation and experiment results.
Effectiveness of Silymarin, Sulforaphane, Lycopene, Green Tea, Tryptophan, Glutathione and Escin on Human Health: A Narrative Review
Authors: Sebastiani Francesco , D'Alterio Carlo , Vocca Cristina , Gallelli Luca , Palumbo Fabrizo , Cai Tommaso , Palmieri Alessandro
Published: July 2023

Background: Recently the role of nutraceutical compounds in the prevention of human diseases is rapidly increasing. Here, we aim to evaluate the beneficial effect of dietary supplementation with seven active principles, lycopene, sulphoraphane, silymarin, glutathione, escin, tryptophan, green tea catechins, on human health. Methods: An extensive search of PubMed and Medline database was performed with the following keywords: “silymarin”, “sulforaphane”, “lycopene”, “green tea catechins”, “tryptophan”, “glutathione” and “escin” accompanied by the keywords “supplement”, “supplementation”, “nutraceutics”. All pre-clinical and clinical trials have been considered for this review. Results: One-hundred and eighteen full-text articles were eligible for inclusion in this review. The papers examined presented considerable variability due to the wide heterogeneity of dosages administered, population involved and outcomes pursued. Conclusion: Nutritional supplementation with lycopene, sulphoraphane, silymarin, glutathione, escin, tryptophan and green tea catechins appears to exert a wide range of benefits on human health, ranging from mood and cognition to cardiovascular health, fertility, metabolism, antioxidant and anti-inflammatory capabilities, potential anti-cancer effects. Further studies are required to better define the potential synergic effect, optimal dosage, mechanism of action and tolerability profile of these substances.
Cognitive Profile of SARS-cov-2 Recovered Patients: A Comprehensive Analysis of Persistent Dysfunctions in Long COVID
Authors: Lima Alisson Rafael Oliveira , Cavendish Beatriz , Pinto Bianca Silva , Pelosof Rebeca , Sousa Juliana Pereira de , Silva Pedro Henrique Rodrigues da , Bertola Laiss , Batista Mariana Pita , Neto Adriano Augusto Domingos , Brunoni Andre Russowsky , Vidal Kallene Summer Moreira , Ventura Dora Fix
Published: July 2023

Long Covid is a term used for patients who have recovered from COVID-19 but exhibit persistent cognitive dysfunction, including mental confusion, difficulties in attention, impairment in executive functions and slow movements, among other common symptoms. A study was conducted with 65 patients who had a positive RT-PCR diagnosis and reported symptoms of cognitive impairment, such as memory loss and attention difficulties after recovery. The patients underwent neuropsychological evaluation and completed questionnaires on cognition, mood, and quality of life. During the cognitive screening, 71% of the patients showed alterations, with deficits in visual memory (69%), language (54%), visuospatial construction (49%), verbal episodic memory (37%), executive functions (36%), attentional abilities (34%), and premorbid intelligence (12%). It is important to highlight the need for treatments and further studies to understand the long-term side effects of this disease.