bluuebunny/crossref_metadata_2025 huggingface dataset:
CRISPR/Cas12a combined with RPA for detection of T. gondii in mice whole blood
Authors: Wang Xiaofeng , Cheng Miao , Yang Shuqi , Xing Chen , Li Qian , Zhu Yating , Ji Yongsheng , Du Yinan
Published: April 2023

Background： T. gondii is a protozoan that is opportunistic and ubiquitous in humans and animals. It can invade any human organ and cause severe diseases, including toxoplasma ophthalmopathy, meningoencephalitis, and liver necrosis. Porcine toxoplasmosis is prevalent in China. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) and Cas (CRISPR Associated Protein) systems are widely used for gene editing and pathogen detection. CRISPR-based diagnostics are molecular assays that have been developed to detect parasites with high sensitivity and specificity.
Methods： This study aimed to establish a combined CRISPR/Cas12a and RPA rapid detection method for T. gondiiby targeting the B1 gene and 529bp repeat element (529 RE). The detection results could be visualized by fluorescence or lateral flow strips (LFS). The sensitivity and specificity of the method were evaluated, and T. gondii-infected mouse blood was used for detection.
Results： The results indicated that the established method for T. gondiidetection was satisfactory, with a detection limit of 1.5 cp/μl for the two loci. Moreover, the B1 gene could detect 1 tachyzoite per reaction, and the 529 RE could detect 0.1 tachyzoite per reaction, consistent with the highly sensitive nested polymerase chain reaction (PCR) results. The method was suitable for strains, including RH, and did not cross-react with other protozoa DNA with similar habits. The T. gondii-infected mouse blood samples were all positive for T. gondii at 1, 3, and 5 days post infection (dpi).
Conclusions： This study established a rapid, sensitive, and time-saving DNA detection method for T. gondii that has the potential to be an alternative tool for T. gondii detection in the field.
The Effect of Environmental Factors on the Stability of Commercial Chlorine-Based Sanitizers in Iran
Authors: Zazouli Mohammad Ali , Hashempour Yalda , Dashtban Nafiseh
Published: April 2023

Introduction: considering the increase in the use of Chlorine-based disinfectants and the questions about the shelf-life of chlorine in solutions, its persistence on the surface, etc., the present study investigated the effect of environmental factors on the stability of commercial solutions stored in different conditions.Materials and methods Three brands of commercial Chlorine-based sanitizers (Golrang, Active, and Tage) were tested. Stability of 0.05, 0.5, and 1% solutions with the pH of 5, 7.5, and 10 stored at 4°C, 25°C, and 45°C were assessed using iodometric titration in 0, 15, 30, and 60 days after preparation. 87 solutions were prepared based on Experimental Design and Response Surface Modeling (RSM) the utilization of Box-Behnken factorial design (BBD).Results Based on RSM and BBD, the effects of linear coefficients of all factors were significant (p < 0.05) and there were no statistically significant differences among the three brands (p = 0.307). There was a negative correlation between the free available chlorine and time. Solutions with a higher initial concentration (1%) tend to have lower stability compared with others. The temperature contributed to the instability of the solutions. There was a gradual decrease in the pH of all solutions over time. The lowest stability was seen in neutral pH (7.5).Conclusion Chlorine-based solutions under different storage conditions have different stability times. All factors affect the stability of chlorine in solutions. Therefore, environmental conditions must be considered when using chlorine solutions.
Geographical variation in Canarium indicum (Burseraceae) nut characteristics across Vanuatu
Authors: Grant Elektra , Macdonell Paul , Tungon Joseph , Tabi Michael , David May , Kaku Sammy , Page Tony
Published: April 2023

Tropical forests in the Pacific region contain many tree species that bear edible nuts (kernels). Canarium indicum (canarium) is an overstorey tree indigenous to Melanesia that produces commercially valuable kernels due to their pleasant taste and high oil content. This study characterises natural variation in fruit, nut-in-shell (NIS) and kernels of C. indicum across eight islands in Vanuatu. Significant tree-to-tree variation in fruit, NIS and kernel characteristics as well as kernel recovery (kernel:NIS) was found. This variation was largely due to tree-to-tree differences and little of this variation could be attributed to location. There were significant linear correlations among fruit, NIS and kernel traits, including kernel mass with fruit mass (R2 0.57) and kernel mass with NIS mass (R2 0.56). Therefore, trees suitable for cultivation may be screened based on fruit and nut characters before making final selections based on kernel mass. Trees sampled over two fruiting seasons showed that kernel mass and kernel number varied significantly between years for 63.6% and 25.9% of the trees respectively. However, those trees that produced larger kernels in the first year of sampling, tended to also produce relatively larger kernels in subsequent years by rank. These results have important implications for further domestication of the species for planting in commercial agroforestry systems.
Different phenotypic responses in the root of Vigna marina and Vigna luteola under salt stress
Authors: Wang Fanmiao , Iki Yurie , Tanoi Keitaro , Naito Ken
Published: April 2023

Some wild species in vigna genus are halophyte that have high potential in salt tolerance. V. marina and one accession of V. luteola have been previously identified as salt tolerant. However, the mechanisms remain elusive and studies on the phenotypic responses to salt can be a starting point for understanding salt tolerant mechanisms. Additional to salt accumulation and leaf chlorophyll fluorescence, this study evaluated root system architecture, including total root length, root surface area and root tip number, in response to salt. Results demonstrate 1) V. marina maintained total root length and surface area in salt stress; 2) V. marina grew more but shorter fine roots in salt stress; 3) The leaves of V. luteola-beach tolerated high Na concentration which severely damaged those of V. luteola-river, and such damage started from older leaf while it happened from younger leaf in V. luteola-beach. This is the first report on root architectural change in response to salt in Vigna genus. Our results suggest importance of studying relationship between root architecture and salt tolerance.
Cystic Presentation of Primary Hepatic Angiosarcoma
Authors: Chand Jithin T , Kumar Arun , Sebastian George M , Appukuttan Murali
Published: April 2023

Primary hepatic angiosarcoma is a rare malignancy arising from the endothelial cells. They account for 1% of all primary liver tumors. They are aggressive tumors and patients usually present with distant metastasis. Surgical resection is the mainstay of treatment, however recurrences are common. The overall survival of patient with hepatic angiosarcoma is only five months without any treatment. Addition of adjuvant chemotherapy with surgery seems to prolong the overall and disease-free survival. Their diagnostic dilemma is due to the fact of non-specific imaging findings mimicking other hypervascular liver tumors. Angiosarcomas are solid tumors arising from the endothelial cells. Cystic type of angiosarcomas are rare and those arising from the liver have not been reported. We are presenting a case report on a cystic primary hepatic angiosarcoma.
Hybrid Gray Wolf Optimization Method in Support Vector Regression Framework for Highly Precise Prediction of Remaining Useful Life of Lithium-ion Batteries
Authors: Zhang Mengyun , Wang Shunli , Xie Yanxin , Yang Xiao , Hao Xueyi , Fernandez Carlos
Published: April 2023

The prediction of remaining useful life (RUL) of lithium-ion batteries takes a critical effect in the battery management system, and precise prediction of RUL guarantees the secure and reliable functioning of batteries. For the difficult problem of selecting the parameter kernel of the training data set of the RUL prediction model constructed based on the support vector regression model, an intelligent gray wolf optimization algorithm is introduced for optimization, and owing to the premature stagnation and multiple susceptibility to local optimum problems of the gray wolf algorithm, a differential evolution strategy is introduced to propose a hybrid gray wolf optimization algorithm based on differential evolution to enhance the original gray wolf optimization. The variance and choice operators of differential evolution are designed to sustaining the diversity of stocks, and then their crossover operations and selection operators are made to carry out global search to enhance the prediction of the model and realize exact forecast of the remaining lifetime. Experiments on the NASA lithium-ion battery dataset demonstrate the effectiveness of the proposed RUL prediction method. Empirical tests demonstrate that the maximum average absolute value error of the prediction of the fusion algorithm on the battery dataset is limited to within 1%, which reflects the high accuracy prediction capability and strong robustness.
Unsupervised Voting for Detecting the Algorithmic Solving Strategy in Competitive Programming Solutions
Authors: Stoica Alexandru Stefan , Băbiceanu Daniel , Rebedea Traian , Mihăescu Marian Cristian
Published: April 2023

The problem of source code analysis using machine learning techniques has been gaining much attention recently as several powerful code embeddings methods have been created. Having available different embedding methods for source code opened the way for tackling many practical problems related to source code analysis. This paper addresses the issue of determining the number of distinct algorithmic strategies that may be found in a set of correct solutions for a competitive programming problem. We have investigated using five embedding methods with three algorithmic strategies in a data analysis pipeline that tackle the previously described issues on a newly created dataset consisting of 15 algorithmic problems. We propose an unsupervised algorithm that considers each embedding as a different dataset view. On each view, a hard clustering algorithm can be employed to split the correct solutions into K distinct algorithmic approaches, where K is a hyperparameter. In the ideal case, if all the algorithmic approaches in each view are determined correctly, a mapping could be done between each consecutive view such that each algorithmic approach from one view maps to a single corresponding algorithmic approach in the other. We are interested in determining the maximum subset of solutions that satisfy the assumption from above and use this subset as a base for a co-training procedure where an estimator employed on each view votes for the algorithmic approach of each solution which is not part of the subset. According to the results, the proposed unsupervised voting algorithm highly improves the baseline clustering approach. This improvement was observed across all problems in the dataset except one. Scale-up of the data analysis pipeline to datasets of thousands of problems may yield the ability to profoundly understand and learn about the innovative process of correctly designing and writing code in the context of competitive programming or even industry code.
River Flood Routing Using a Spatial Variable Exponent Parameter Nonlinear Muskingum Model and Sine Cosine Algorithm by Considering Lateral Flow
Authors: Atashi Vida , Barati Reza , Lim Yeo Howe
Published: April 2023

Due to advancements in optimization technology, numerous variable-parameter Muskingum models have been proposed in recent decades, aimed at enhancing the effectiveness of the Muskingum model. This study proposes a novel approach to river flood routing that employs a spatial variable exponent parameter nonlinear Muskingum model with lateral flow considerations. The proposed nonlinear Muskingum model with a variable exponent parameter considers spatial variations, in contrast to earlier studies that concentrated on modifying exponent parameters in response to variable inflow levels. The Muskingum parameters of the proposed model were estimated using an improved Sine Cosine Algorithm (SCA), which was applied to fit six previously reported flood hydrographs. The proposed method aims to minimize the Sum of Square Errors (SSE) between observed and routed outflows. The study demonstrates that by incorporating lateral inflows into the Muskingum model for Wilson, Linsley, and Viessman and Lewis flood data, two sub-reaches produce significantly better results. Conversely, for fitting flood data exhibited by Wye and Dinavar flood data, the three sub-reaches Muskingum model yields superior results. In the case of Lawler flood data, it is suggested that the traditional nonlinear model could be adequate, and there may be no need to incorporate sub-reaches, as the Sum of Square Errors (SSE) remains unchanged. Overall, the study provides a promising approach to addressing river flood routing problems.
Electric-field-caused Thermoelectric Effects of a Thin Films Made of a Single Conductive Material
Authors: Jiang Jiantang
Published: April 2023

It is generally believed that the Peltier effect and Seebeck effect could only be observed in a circuit made up of at least two dissimilar conductors; similar effects could never be observed in a circuit made up of a single material. In this paper, we propose a method to realize such thermoelectric effects in a circuit made up of a single conductor. In our model, an external electric field is applied to a part of a thin film made of a single metal, the external electric field changes the energy states of the free electrons in the electric-field-affected part, creating potential barriers between the electric-field-affected part and the unaffected parts. Our analysis shows that thermoelectric effects similar to the Peltier–Seebeck effect can also be observed in this model.
Kazdan-warner Problem on Compact Riemann Surfaces With Smooth Boundary
Authors: Venizelos Alexander
Published: April 2023

The authors have requested that this preprint be removed from Research Square.
WheatLFANet: in-field detection and counting of wheat heads with hyper-real-time multidimensional mapping global regression network
Authors: Ye Jianxiong , Yu Zhenghong , Wang Yangxu , Lu Dunlu , Zhou Huabing
Published: April 2023

Background: Detection and counting of wheat heads are of crucial importance in the field of plant science, as they can be used for crop field management, yield prediction, and phenotype analysis. With the widespread application of computer vision technology in plant science, monitoring of automated high-throughput plant phenotyping platforms has become possible. Currently, many innovative methods and new technologies have been proposed that have made significant progress in the accuracy and robustness of wheat head recognition. Nevertheless, these methods are often built on high-performance computing devices and lack practicality. In resource-limited situations, these methods may not be effectively applied and deployed, thereby failing to meet the needs of practical applications.
Results: In our recent research on maize tassels, we proposed TasselLFANet, the most advanced neural network for detecting maize tassels. Building on this work, we have now developed a hyper-real-time lightweight neural network called WheatLFANet for wheat head detection. WheatLFANet features a more compact encoder-decoder structure and an effective multi-dimensional information mapping fusion strategy, allowing it to run efficiently on low-end devices while maintaining high accuracy and practicality. According to the evaluation report on the global wheat head detection dataset, WheatLFANet outperforms other state-of-the-art methods with an average precision AP of 0.900 and an R2 value of 0.949 between predicted values and ground truth values. Moreover, it runs significantly faster than all other methods by an order of magnitude.
Conclusions: Extensive experiments have shown that WheatLFANet exhibits better generalization ability than other state-of-the-art methods, and achieved a speed increase of an order of magnitude while maintaining accuracy. The success of this study demonstrates the feasibility of achieving real-time, lightweight detection of wheat heads on low-end devices, and also indicates the usefulness of simple yet powerful neural network designs.
Energy industry development: key trends and the core determinants
Authors: Chygryn Olena , Shevchenko Kateryna
Published: April 2023

Energy underpins the development and enables investment, innovation, and new industries that drive jobs, inclusive growth, and the shared prosperity of entire economies. The COVID-19 pandemic and the war in Ukraine have led to a sharp rise in energy prices, increasing concerns about energy shortages and energy security, and slowing progress toward universal access to affordable, reliable, sustainable, and modern energy by 2030. The purpose of the article is to study key trends and trends in the development of the global energy sector. Ex-post-economic analysis was used during the retrospective analysis. The conducted analysis made it possible to single out three main trends in the development of the global energy sector: decarbonization, digitalization, and decentralization. The results of the evaluation of statistical information on the development of alternative energy allowed us to draw the following conclusions. The global weighted average current cost of electricity for solar photovoltaic and onshore wind decreased by 77% and 35%, respectively, between 2010 and 2018. Global electricity production from renewable energy sources also increased by 7% in 2018. led by China, which accounted for nearly 37% of offshore wind growth and 44% of solar PV growth. However, significant progress in the use of renewable energy sources is still concentrated in the power industry. The share of renewable energy sources in the transport and heating sectors is still limited, although showing moderate growth. The study of forecast indicators confirmed the steady trend of growth in the demand for renewable energy. Between 2018 and 2030, global demand for renewable energy is projected to grow by 64%. The results of the provided research can be used further in the study of the development of various sectors of the energy industry, in particular, alternative electricity, wind energy, etc.
Project Management is a tool of functional areas and a systematic procedure to implement a weeding event: A case study
Authors: Farok Gazi
Published: April 2023

This paper summarizes the arguments and counterarguments within the scientific discussion on the issue of a chronological step which leads to the phase or status change in the project management. The main purpose of the research is the wedding event in the start to the end of the activities and the event is represented by a node in the network. Systematization of the literary sources and approaches for solving the problem that an event is a specific instant of time which makes the start or end of an activity and event consumes neither time nor resources. It indicates that an activity is the actual performance of the task and requires time and resources for its completion. The relevance of this scientific problem decision is that project management is a tool of functional areas. Investigation of the topic a systematic procedure to implement a weeding event in the paper is carried out in the following logical sequence on project management: Methodological tools of the research methods were a couple of years of research. The object of research is the chosen company that carried out the processes of a wedding project at Toronto Metropolitan University, Canada, because namely they derived this event as a project. The paper presents the results of an empirical analysis on mathematical calculations which showed that were perfect in graphically. The research empirically confirms and theoretically proves that it is the work required to complete a couple of specific tasks: determine your event goals and objectives, visualize the event, draw up a budget, develop a timeline, put the plan into action, double-check the project plan, evaluate the event. The results of the research can be useful for a wedding event cycle consists of five stages: plan, organize measure, analyze and share.
Analyzing the potential market for MSMEs in India
Authors: Chakravarthy Sumathi , Bharathi Sindhu , Khire Divyayudha , Narayanan Gopalakrishnan Badri
Published: April 2023

This paper summarizes the arguments and counterarguments within the scientific discussion on identifying the potential markets for Micro Small and Medium Enterprises (MSMEs). The main purpose of the research is to present the commodities and potential destinations that Indian MSMEs can tap on to broaden their business and eventually to the overall growth of the country. Systematization of the literary sources as a part of the study indicates that MSMEs have made a significant contribution to the country’s GDP and trade. A survey of the approaches for solving the objective of the research reveals that trade indices and CGE models are the most appropriate when it comes to trade policy analysis. The relevance of this scientific problem decision is that Indian MSME’s contribute to more than 30% of India’s GDP and enhancing MSME exports would help the country achieve an inclusive, socio-economic growth. Investigation of the topic in the paper is carried out in the following logical sequence: We first analyze the commodities that have a potential for growth and then move ahead to analyze the promising markets. To perform quantitative analysis, we use trade indices and estimations from Computable General Equilibrium -GTAP (Global Trade Analysis Project) model. To analyze potential commodities, we use Product Space Analysis with three indicators, namely, the Revealed Comparative Advantage (RCA), Revealed Trade Advantage (RTA), and Market Demand Index. To analyze the potential markets, we use the Export potential indicator and GTAP estimates for the years 2022-27. The object of the research is to empower MSMEs in India with insights and data about the potential markets and commodities for export from India. The paper shows that MSMEs have a higher potential for exports in textiles and clothing, food products, vegetables, and other agricultural products, and machinery and electrical equipment sectors. In terms of markets, our analysis reveals that MSMEs have a broad scope in the UAE, China, Bangladesh, and the USA.
Use of Flow Cytometry to Assess Total Genomic Content for Asclepias spp.
Authors: Lewis Mary , Ruter John M.
Published: April 2023

Interest in plant species that support pollinator health has been increasing in recent years. As a result, research into these historically overlooked species is increasing. One such taxon is milkweed (Asclepias spp.), a genus primarily native to North America that serves as an oviposition and food source for various pollinators, especially the monarch butterfly (Danaus plexippus L.). Although exhaustive research has been conducted on Asclepias flower morphology, seed production, and pollinator impact, little cytological work has been published. Knowing the genome size of species can predict their ability to hybridize and the potential of genetic variability within a genus. Our study used 15 different Asclepias species and four interspecific Asclepias hybrids, and the total genomic content was calculated using propidium iodide. We found the 2C genome size ranged from 0.65 to 1.24 picograms. To our knowledge, our research presents data on eight species with previously unknown genomic content and is the first to report 2C values for interspecific Asclepias hybrids.
Experimental study on the kinetics of magnesiohornblende dehydration and its implications
Authors: Han Kenan , Yi Li , Wang Duojun , Zhang Ruixin , Chen Peng
Published: April 2023

Magnesiohornblende dehydration was studied using both high-temperature thermogravimetric analysis and high-pressure differential thermal analysis (HP-DTA). The high-temperature thermogravi-metric analysis results revealed that magnesiohornblende dehydration at high temperatures could be divided into three steps: 848–1058, 1058–1243, and 1243–1473 K, and each step followed an n-order reaction (Fn). The dehydration process is characterized by an oxidation-dehydrogenation mechanism, and the dehydration of the last step can be explained as the direct decomposition of the hydroxyl groups connected to the magnesium ions. The HP-DTA of magnesiohornblende dehydration under pressures of 0.5, 1.0, 2.0, and 3.0 GPa revealed the occurrence of two endothermic peaks, indicating that the dehydration occurs in two steps at high temperature and pressure. Our experimental results reveal that during subduction, the fluid released during the dehydration of magnesiohornblende may trigger earthquakes and cause high electrical conductivity anomalies in the subduction zones.
A possible origin of the lunar spinel-bearing lithologies as told by the meteorite NWA 13191
Authors: Xie Lan F. , Chen Hong Y. , Miao Bing K. , Song Wen L. , Xia Zhi P. , Zhang Chuan T. , Chen Guo Z. , Zhang Jin Y. , Zhao Si Z. , Gao Xu K.
Published: April 2023

Pink spinel anorthosite (PSA) and pink spinel troctolite (PST) are two lunar lithologies known to contain Mg-rich spinel. PSA rich in spinel and lacking mafic minerals, was detected by the visible and near-infrared reflectance spectroscopy. PST clasts were found in returned lunar samples and meteorites. NWA 13191 is a recently approved lunar meteorite that contains a large amount of spinel-bearing clasts and provides an opportunity to discuss its origin. Sixty-four spinel-bearing clasts were studied in this research. These clasts are dominated by anorthitic feldspars (20.8–80.9 vol%, An90.9–96.8), mafic-rich and aluminum-rich glass (14.7–72.1 vol%) quenched from a melt, and spinels (0.19–5.18 vol%). Forty-nine of these clasts appear to have unusually low modal abundances of mafic silicates (avg. olivine ± pyroxene, 1.87 vol%), which distinguishes them from known spinel-bearing lunar samples (e.g., PST). The spinel compositions (avg. Mg# = 90.6, Al# = 97.4) and mafic minerals contents are basically consistent with those of PSA. The absorption characteristics of glass in the reflection spectrum are not obvious, so it is not clear if the PSA contains melt. The simulated crystallization experiment clearly shows that it contains a large amount of melt at the spinel crystallization stage. These phenomena provide experimental and sample evidence for the existence of glass in the lunar spinel-bearing lithologies. NWA 13191 records the highest known bulk Mg# (avg. 89.8), and the spinel records the highest Al# (98.8) and Mg# (93.1) of lunar samples to date. The chemical properties of spinel-bearing clasts in NWA 13191 are consistent with the slightly REE-enriched and alkali-poor Mg-suite rocks, such as PST, magnesian anorthosites (MANs), and olivine-enriched Mg-suite rocks. These phenomena and previous simulated crystallization experiments indicate that a Mg-Al-rich melt may be produced by impact melting of Mg-rich anorthosite precursors. The spinel is a metastable crystallization product along with plagioclase and vitric melt near the Moon’s surface. This realization provides observational evidence for previous simulated crystallization experiments and theoretical speculations.
Thermal conductivity of aluminous garnets in Earth’s deep interior
Authors: Hung Yu-Ping Grace , Tsao Yi-Chi , Lin Chun-Hung , Hsieh Wen-Pin
Published: April 2023

Aluminous garnets [(Mg,Fe,Ca)3Al2(SiO4)3] are a key mineral group in Earth’s interior. Their thermal conductivity with relevant chemical compositions and at high-pressure-temperature (P-T) conditions plays a crucial role in affecting the thermal states of pyrolytic mantle and subducted basaltic crust over the depth range they are present. Using ultrafast optical pump-probe spectroscopy combined with an externally-heated diamond-anvil cell, we have precisely determined the high-P-T thermal conductivity of aluminous garnets, including pyrope, grossular, and pyrope-almandine solid solution. We find that the variable chemical composition has minor effects on the thermal conductivity of these garnets over the P-T range studied. Combined with previous results, we provide new depth-dependent thermal conductivity profiles for a pyrolytic mantle and a subducted basaltic crust. These results significantly benefit geodynamics simulations and advance our understanding of the thermal structure and evolution dynamics in Earth’s upper mantle and transition zone. In addition, as garnets are also a key, useful material family for modern technology, our results on the thermal property of natural garnets also shed light on the novel design of optical and electronic devices based on various synthetic nonsilicate garnets.
Multi-level benchmark system for sustainability reporting: EU experience for Ukraine
Authors: Makarenko Inna , Makarenko Serhiy
Published: April 2023

The paper analyzes the key European benchmarks in the field of compiling and submitting sustainability reports. The analysis concerns the disclosure of their features in the context of considering the introduction in Ukraine to increase transparency, accountability and investment attractiveness of Ukrainian enterprises. Based on content and comparative analyses, a comparison was made of the key provisions of sustainability reporting issued by various standards-setters (ISSB (International Sustainability Standards Board), EFRAG (European Financial Reporting Advisory Group), SEC (The United States Securities and Exchange Commission), GRI (Global Reporting Initiative), and IIRC (International Integrated Reporting Council)) as a methodological level of the system of such benchmarks. The global impact of the specified benchmarks is complemented by an analysis of the impact of Directive 2014/95/EU (Non-Financial Reporting Directive – NFRD) and the new Directive 2022/2464/EU (Corporate Sustainability Reporting Directive – CSRD) on the introduction of the sustainability reporting. It is proved that in the context of the formation of the Ukrainian accounting system on the way to European integration, the transposition of the requirements of these Directives is the first step towards streamlining the regulatory framework for companies’ sustainability reporting. A two-level sustainability reporting benchmark system is presented, which at the operational level is based on the EU directives on disclosure of non-financial information and sustainability reporting, and at the methodological level – on the European Sustainability Reporting Standards and other generally accepted standards.
Acknowledgment Inna Makarenko gratefully acknowledges support from the Supreme Council of Ukraine (0122U201796).
Does capital structure moderate the impact of the investment opportunity set and institutional ownership on firm value?
Authors: Sudiyatno Bambang , Sudarsi Sri , Eko Hartoto Witjaksono , Rosyada Fitriati Ika
Published: April 2023

The existence of a research gap compared to previous studies related to the effect of the relationship between institutional ownership and investment opportunity set on firm value in Indonesia is interesting to review. This study aims to reveal the relationship of these influences by adding capital structure as a moderating variable that serves to strengthen it against firm value. The research variables are the ratio of market value to book value of assets, institutional ownership, debt-to-equity ratio and free cash flow. The research timeframe is 2019–2021, using data taken from companies in the manufacturing sector in the Indonesian Capital Market (IDX). Data sampling was carried out using the purposive sampling method. Data analysis to determine the relationship of these effects and hypothesis testing were performed using multiple regression. The empirical research findings indicate that the investment opportunity set has a positive effect on increasing firm value, while capital structure has a negative effect on decreasing it. Institutional ownership and free cash flow do not determine firm value, so free cash flow does not serve as a control variable. The main finding of this study is revealing that capital structure plays a role in strengthening the effect of the relationship between investment opportunity sets on firm value.
Acknowledgments This research is an independent study that is not funded by donor agencies.
Pelaksanaan Inovasi Pelayanan SAKLAR (Sadina Kelar) Dalam Meningkatkan Pelayanan Kepada Masyarakat di Kota Tegal
Authors: Eldo Dwian Hartomi Akta Padma , Sutjiatmi Sri , Fitri Nurul
Published: April 2023

Inovasi pelayanan public menjadi sesuatu keharusan yang dilakukan oleh pemerintah saat ini demi menjawab kebutuhan masyarakat dalam pelayanan. Maka dari itu tidak heran jika setiap pemerintah daerah melalui dinas terkait dituntut untuk membuat sebuah Inovasi, seperti Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPM-PTSP) Kota Tegal dengan istilah Saklar (Sadina Kelar). Penelitian ini bertujuan untuk melihat bagaimana penerapan Inovasi Saklar di Kota Tegal dalam membantu masyarakat dalam pelayanan perizinan. Metode yang digunakan deskriptif kualitatif dengan Teknik pengumpulan data dengan cara wawancara secara terstruktur dan menadalam kepada informan. Hasil penelitian menunjukkan meskipun Inovasi sudah berjalan beberapa tahun namun ternyata masih saja ada kenadala yang dihadapi seperti; 1) Pemahaman masyarakat yang masih kurang perihal perizinan; 2) Pembatasan cluster pada pelayanan Saklar; 3) Loket informasi, pendaftaran, penerimaan, penyerahan, serta loket pengaduan masih disatukan; 4) perubahan besar pada alur kerja.
Gobernadores coloniales de la provincia de Santa Marta: once historias sobre sus acciones políticas y militares, 1525-1820
Authors: Viloria De La Hoz Joaquín , Elías Caro Jorge Enrique , Gambín García Mariano , Amaya Palacios Sebastián , Burset Flores Luis , Serrano Álvarez José Manuel , Rey Sinning Edgar , Polo Acuña José , Barraza Piña Marcela , Vidal Ortega Antonino , Daza Villar Vladimir , Escandón Vega Marcela Patricia
Published: April 2023

Gobernadores coloniales de la provincia de Santa Marta: Once historias sobre sus acciones políticas y militares, 1525-1820
Synovial sarcoma of the median nerve of the right shoulder (case report)
Authors: Khestanov D. B. , Efimova M. M. , Romantsova O. M. , Khairullova V. V. , Malakhova A. A. , Mikhailova E. V. , Dzampaev A. Z. , Varfolomeeva S. R.
Published: April 2023

Synovial sarcoma (SS) is a soft tissue tumor that occurs among a group of tumors other than rhabdomyosarcoma (RMS) in childhood and adolescence in 4 % of cases. In terms of incidence among children, SS is second only to RMS and most often occurs in young and mature patients (15–35 years), with a slight predominance in men. The localization of SS in the soft tissues of the extremities reaches 80 %; to a lesser extent, these tumors occur in the head and neck, trunk, retroperitoneal space, and joints (no more than 5 %). Cases of the appearance of SS in the mediastinum, peripheral nerves, skin and visceral organs are also described.

This article presents a rare clinical case of the development of SS of the median nerve of the right shoulder in a 15-year-old patient.
Review of Morena Corradi and Silvia Valisa, eds, La carta veloce: Figure, temi e politiche del giornalismo italiano dell’Ottocento (2021)
Authors: Boemia Dario
Published: April 2023

Review of Morena Corradi and Silvia Valisa, eds, La carta veloce: Figure, temi e politiche del giornalismo italiano dell’Ottocento (2021)
Системы и технологии на основе нелинейных передающих линий с ферритом (обзор)
Authors: Припутнев П.В. , Романченко И.В. , Ростов В.В.
Published: April 2023

Nonlinear transmission lines with ferrite have been actively developed and studied for about two decades. At the same time, the first works on this topic date back to the middle of the last century. Nonlinear transmission lines with ferrite find their application in various problems of electrophysics, with the greatest application being found in the problems of pulse sharpening, as delay lines and generators of high-power pulses of microwave radiation. The main scientific and technical results of the development of technologies of nonlinear transmission lines with ferrite are presented in chronological order, starting from lines for sharpening the fronts of voltage pulses, ending with multichannel microwave sources based on them.
Влияние буферных покрытий на структурное состояние и магнитные свойства пленок (Cr-Mn)/Fe
Authors: Васьковский В.О. , Фещенко А.А. , Москалев М.Е. , Лепаловский В.Н. , Кравцов Е.А. , Горьковенко А.Н.
Published: April 2023

The article presents the results of a systematic study of the crystalline structure, microstructure, and hysteresis properties of (Cr80Mn20)/Fe bilayers, deposited on buffer coatings of various metals (Cr, Fe, W, Ta). It has been established that depending on the composition of the buffer coating and the thickness of the Cr-Mn layer, the latter develops body-centered cubic structure with either the (110) or (200) texture, or none. It is shown that the Cr-Mn layer is a source of increased coercivity in the adjacent Fe layer and when is in a certain structural state and has a relatively large thickness (100 nm) induces exchange bias in the Fe layer. The regularities obtained are interpreted in terms of the antiferromagnetic ordering of Cr-Mn and its relatively weak magnetic anisotropy
Влияние поля коронного разряда на формирование голографических дифракционных решеток в пленках As-=SUB=-40-=/SUB=-S-=SUB=-60-x-=/SUB=-Se-=SUB=-x-=/SUB=-
Authors: Настас А.М. , Иову М.С. , Присакар А.М. , Тридух Г.М. , Прилепов В.Д. , Толстик А.Л. , Сташкевич И.В.
Published: April 2023

The influence of the corona discharge on the holographic recording and the subsequence chemical etching of the recording holographic gratings in the Cr/As40S60-xSex thin film structures was investigated. It was established that applied of the positive corona discharge leads to the increase of the holographic sensitivity during the recording in the As-S-Se films, as well as to the amplification of the diffraction efficiency of the recording gratings and of the relief-phase diffractive gratings obtaining in the result of the consecutive chemical etching. Among the investigated films of the As40S60-xSex system, the best results on the application of the Argon laser irradiation (=488 nm) was obtaining for the composition As40S39Se21. Applied of the corona discharge bring to the increase of the holographic sensitivity more than up two order, and of the diffraction efficiency about three order in the respect of the of the ordinary recording. Reciprocally was reached a amplification of the diffraction efficiency of the relief diffraction gratings formed in the result of the sequent chemical etching up to 30 %.
Исследование пироэлектрического эффекта в легированных неполярных кристаллах глицина
Authors: Сотникова Г.Ю. , Зеленовский П.С. , Ушаков А.Д. , Гаврилов Г.А. , Шур В.Я. , Холкин А.Л.
Published: April 2023

Doping-induced local symmetry breaking of centrosymmetric molecular crystals endows them with piezoelectric and pyroelectric properties. In this work, we measured temperature dependences of pyroelectric and piezoelectric coefficients in α-glycine crystals single-doped by threonine and double-doped by threonine and alanine. We analyzed primary and secondary pyroelectric effects in these crystals and suggested a model of the dopant complexes related to the observed effects.
Chemical Regeneration of Activated Carbon Used in A Water Treatment System for Medical Services
Authors: Puente Torres Jeamichel , Crespo Sariol Harold , Mariño Peacok Thayset , Brito Sauvanell Ángel , Cuyvers Greet , Reggers Guy , Samyn Pieter , Vandamme Dries , Yperman Jan , Adriaensens Peter , Carleer Robert
Published: April 2023

The chemical regeneration of exhausted granular activated carbon (GAC) from a water treatment plant to produce dialysis water used in hemodialysis treatments for chronic renal disease patients from a general Hospital of Ciego de Avila province, Cuba, was investigated. Activated carbon (AC) exhausted mainly by inorganics (Ca (Ca-chelates), Mg and Na) was regenerated using hydrochloric acid and acetic acid (one regeneration cycle). Solutions of 5%, 10%, 15% and 20%(v/v) as well as four contact times (2 h, 4 h, 6 h and 48 h) for hydrochloric acid and three contact times (2 h, 4 h and 6 h) for acetic acid at 25°C and 1 atm in a dosage of 1 g GAC/10 mL were used. Inductively Coupled Plasma-Atomic Emission Spectroscopy (ICP-AES), thermogravimetric analysis (TGA), X-ray absorption technique (XRA) and Scanning Electronic Microscopy (SEM) were used to evaluate the effect of the regeneration on exhausted GAC. Batch and scaled column experiments were developed. Breakthrough curves were obtained to assess the AC’s performances after chemical regeneration. The removal/adsorption capacity towards free chlorine (as disinfection agent) and hardness ions (expressed in mg CaCO3/L) was estimated using the area under the breakthrough curves from scaled columns experiments. The hydrochloric acid arises as the best acidic regenerator; using a concentration of 20%(v/v), regenerated GACs using hydrochloric acid showed the highest desorption rate of inorganics as well as a free chlorine removal performance of around 30% concerning the virgin GAC sample. A new GAC management scheme is proposed for GACs used in the medical industry to improve the sustainability and economics of the water treatment process.
iCHECK-DH: Guidelines and Checklist for the Reporting on Digital Health Implementations
Authors: Perrin Franck Caroline , Babington-Ashaye Awa , Dietrich Damien , Bediang Georges , Veltsos Philippe , Gupta Pramendra Prasad , Juech Claudia , Kadam Rigveda , Collin Maxime , Setian Lucy , Serrano Pons Jordi , Kwankam S Yunkap , Garrette Béatrice , Barbe Solenne , Bagayoko Cheick Oumar , Mehl Garrett , Lovis Christian , Geissbuhler Antoine
Published: April 2023

Background

Implementation of digital health technologies has grown rapidly, but many remain limited to pilot studies due to challenges, such as a lack of evidence or barriers to implementation. Overcoming these challenges requires learning from previous implementations and systematically documenting implementation processes to better understand the real-world impact of a technology and identify effective strategies for future implementation.

Objective

A group of global experts, facilitated by the Geneva Digital Health Hub, developed the Guidelines and Checklist for the Reporting on Digital Health Implementations (iCHECK-DH, pronounced “I checked”) to improve the completeness of reporting on digital health implementations.

Methods

A guideline development group was convened to define key considerations and criteria for reporting on digital health implementations. To ensure the practicality and effectiveness of the checklist, it was pilot-tested by applying it to several real-world digital health implementations, and adjustments were made based on the feedback received. The guiding principle for the development of iCHECK-DH was to identify the minimum set of information needed to comprehensively define a digital health implementation, to support the identification of key factors for success and failure, and to enable others to replicate it in different settings.

Results

The result was a 20-item checklist with detailed explanations and examples in this paper. The authors anticipate that widespread adoption will standardize the quality of reporting and, indirectly, improve implementation standards and best practices.

Conclusions

Guidelines for reporting on digital health implementations are important to ensure the accuracy, completeness, and consistency of reported information. This allows for meaningful comparison and evaluation of results, transparency, and accountability and informs stakeholder decision-making. i-CHECK-DH facilitates standardization of the way information is collected and reported, improving systematic documentation and knowledge transfer that can lead to the development of more effective digital health interventions and better health outcomes.
Analysis of the Psychological Dilemma of the Elderly with Grandchildren and the Design of Human-computer Intervention
Authors: Xu Ping
Published: April 2023

China is facing the severe challenge of population aging, the elderly not only need to take care of themselves, but also need to take care of their children, this trend is increasingly obvious. The working hours of young people are getting longer and longer, and more and more old people take care of their children. Due to the lack of communication and long-term tension with children, the old people have a kind of emptiness, loss and emotional gap, fear and depression, which make the old people with grandchildren have a bad mood. In order to solve these problems, through the introduction of man-machine path to assist the elderly to communicate and operate, the psychological crisis of the elderly can be effectively intervened.
Tag Recommendation System for Marathi News Articles by using Multi-label Classification
Authors: Walunj Parmesh , Shah Krupa , Tank Rishi , Mathure Atharva , Shekhar Ritesh , Kadam Ms. Deepali
Published: April 2023

Abstract: Multi-label classification is the variant of a classification problem where multiple labels are assigned to each instance. In multi-label classification, the training set is composed of instances each associated with a set of labels, and the task is to predict the label sets of unseen instances through analyzing training instances with known label sets. This paper demonstrates the use of multi-label classification to determine tags for news articles written in the Marathi Language of India. The proposed study uses Binary Relevance (One vs Rest) technique of multi-label classification to establish the tags for the given input of a Marathi news article. Tag recommendation systems for Marathi news articles can greatly enhance the user experience for readers and help them find the articles that are most relevant to their interests.
Customer Churn Prediction Using Machine Learning Algorithms
Authors: Hangarge Pallavi , Jadhav Gunjan , Janagave Vaishnavi , Kadam Sujal , Pise Prof. P. S.
Published: April 2023

Abstract: Customer churn is a serious problem in the telecommunications industry and occurs more often. Customer churn is the percentage of customers that stopped using your company's product or service during a certain time frame. One of the most important problems in predicting customer churn is the imbalanced data, which has been tried to be solved and compared with different methods. The machine learning algorithms will be use in this paper are Decision Tree, Support Vector Machine, Random Forest . Also, the performance of support vector were better than other algorithms.