bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Research on Seismic Performance of Masonry-Infilled RC Frames Retrofitted by Using Fabric-Reinforced Cementitious Matrix Under In-Plane Cyclic Loading
Authors: Wang Fayu
Published: May 2023

Fabric-reinforced cementitious matrix (FRCM) composites, also known as textile-reinforced mortars (TRMs), represent a new advancement in structural repair and reinforcement technology. Aiming to improve the energy efficiency and seismic performance of existing buildings, this research focused on the development of an FRCM system in combination with phase change materials (PCMs) and extruded polystyrene sheets (XPS) to achieve adequate mechanical and thermal properties for reinforced concrete (RC) and masonry structures. Accordingly, the in-plane behaviour of five FRCM-strengthened RC frames with hollow-brick wall infill was tested under cyclic loading to investigate the improvement in earthquake resistance. The system was comprehensively evaluated by calculating hysteresis curves; comparing the lateral stiffness, ductility, and energy dissipation capacity; measuring the deformations of the specimens; and analysing the failure modes mechanically. Finally, it was proved that this novel integrated approach could significantly enhance the mechanical and seismic performance of masonry-infilled RC frames.
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting
Authors: Jiménez-Navarro Manuel J. , Martínez-Ballesteros María , Martínez-Álvarez Francisco , Asencio-Cortés Gualberto
Published: May 2023

Ensuring the optimal performance of power transformers is a laborious task in which the insulation system plays a vital role in decreasing their deterioration. The insulation system uses insulating oil to control temperature, as high temperatures can reduce the lifetime of the transformers and lead to expensive maintenance. Deep learning architectures have been demonstrated remarkable results in various fields. However, this improvement often comes at the cost of increased computing resources, which, in turn, increases the carbon footprint and hinders the optimization of architectures. In this study, we introduce a novel deep learning architecture that achieves a comparable efficacy to the best existing architectures in transformer oil temperature forecasting while improving efficiency. Effective forecasting can help prevent high temperatures and monitor the future condition of power transformers, thereby reducing unnecessary waste. To balance the inductive bias in our architecture, we propose the Smooth Residual Block, which divides the original problem into multiple subproblems to obtain different representations of the time series, collaboratively achieving the final forecasting. We applied our architecture to the Electricity Transformer datasets, which obtain transformer insulating oil temperature measures from two transformers in China. The results showed a 13% improvement in MSE and a 57% improvement in performance compared to the best current architectures, to the best of our knowledge. Moreover, we analyzed the architecture behavior to gain an intuitive understanding of the achieved solution.
Time series big data: a survey on data stream frameworks, analysis and algorithms
Authors: Almeida Ana , Brás Susana , Sargento Susana , Pinto Filipe Cabral
Published: May 2023

Big data has a substantial role nowadays, and its importance has significantly increased over the last decade. Big data’s biggest advantages are providing knowledge, supporting the decision-making process, and improving the use of resources, services, and infrastructures. The potential of big data increases when we apply it in real-time by providing real-time analysis, predictions, and forecasts, among many other applications. Our goal with this article is to provide a viewpoint on how to build a system capable of processing big data in real-time, performing analysis, and applying algorithms. A system should be designed to handle vast amounts of data and provide valuable knowledge through analysis and algorithms. This article explores the current approaches and how they can be used for the real-time operations and predictions.
An exploratory content and sentiment analysis of the guardian metaverse articles using leximancer and natural language processing
Authors: Tunca Sezai , Sezen Bulent , Wilk Violetta
Published: May 2023

The metaverse has become one of the most popular concepts of recent times. Companies and entrepreneurs are fiercely competing to invest and take part in this virtual world. Millions of people globally are anticipated to spend much of their time in the metaverse, regardless of their age, gender, ethnicity, or culture. There are few comprehensive studies on the positive/negative sentiment and effect of the newly identified, but not well defined, metaverse concept that is already fast evolving the digital landscape. Thereby, this study aimed to better understand the metaverse concept, by, firstly, identifying the positive and negative sentiment characteristics and, secondly, by revealing the associations between the metaverse concept and other related concepts. To do so, this study used Natural Language Processing (NLP) methods, specifically Artificial Intelligence (AI) with computational qualitative analysis. The data comprised metaverse articles from 2021 to 2022 published on The Guardian website, a key global mainstream media outlet. To perform thematic content analysis of the qualitative data, this research used the Leximancer software, and the The Natural Language Toolkit (NLTK) from NLP libraries were used to identify sentiment. Further, an AI-based Monkeylearn API was used to make sectoral classifications of the main topics that emerged in the Leximancer analysis. The key themes which emerged in the Leximancer analysis, included "metaverse", "Facebook", "games" and "platforms". The sentiment analysis revealed that of all articles published in the period of 2021–2022 about the metaverse, 61% (n = 622) were positive, 30% (n = 311) were negative, and 9% (n = 90) were neutral. Positive discourses about the metaverse were found to concern key innovations that the virtual experiences brought to users and companies with the support of the technological infrastructure of blockchain, algorithms, NFTs, led by the gaming world. Negative discourse was found to evidence various problems (misinformation, harmful content, algorithms, data, and equipment) that occur during the use of Facebook and other social media platforms, and that individuals encountered harm in the metaverse or that the metaverse produces new problems. Monkeylearn findings revealed “marketing/advertising/PR” role, “Recreational” business, “Science & Technology” events as the key content topics. This study’s contribution is twofold: first, it showcases a novel way to triangulate qualitative data analysis of large unstructured textual data as a method in exploring the metaverse concept; and second, the study reveals the characteristics of the metaverse as a concept, as well as its association with other related concepts. Given that the topic of the metaverse is new, this is the first study, to our knowledge, to do both.
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
Authors: Abu-Salih Bilal , AL-Qurishi Muhammad , Alweshah Mohammed , AL-Smadi Mohammad , Alfayez Reem , Saadeh Heba
Published: May 2023

The incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics solutions. Knowledge graphs (KGs) have proven utility in this arena and are rooted in a number of healthcare applications to furnish better data representation and knowledge inference. However, in conjunction with a lack of a representative KG construction taxonomy, several existing approaches in this designated domain are inadequate and inferior. This paper is the first to provide a comprehensive taxonomy and a bird’s eye view of healthcare KG construction. Additionally, a thorough examination of the current state-of-the-art techniques drawn from academic works relevant to various healthcare contexts is carried out. These techniques are critically evaluated in terms of methods used for knowledge extraction, types of the knowledge base and sources, and the incorporated evaluation protocols. Finally, several research findings and existing issues in the literature are reported and discussed, opening horizons for future research in this vibrant area.
Improved content recommendation algorithm integrating semantic information
Authors: Huang Ran
Published: May 2023

Content-based recommendation technology is widely used in the field of e-commerce and education because of its intuitive and easy to explain advantages. However, due to the congenital defect of insufficient semantic analysis of TF-IDF vector space model, the traditional content-based recommendation technology has the problem of insufficient semantic analysis in item modeling, fails to consider the role of semantic information in knowledge expression and similarity calculation, and is not accurate enough in calculating item content similarity. The items with semantic relevance in content can not be well mined. The research goal of this paper is to improve the semantic analysis ability of the traditional content-based recommendation algorithm by integrating semantic information with TF-IDF vector space model for item modeling and similarity calculation and proposed an improved content recommendation algorithm integrating semantic information. In order to prove the effectiveness of the proposed method, several groups of experiments are carried out. The experiments results showed that the overall performance of the proposed algorithm in this paper is the best and relatively stable. This verified the validity of our method.
Characterizing patent big data upon IPC: a survey of triadic patent families and PCT applications
Authors: Zhu Jewel X. , Sun Minghan , Wei Shelia X. , Ye Fred Y.
Published: May 2023

Research objective

Triadic patent (TP) families and Patent Cooperation Treaty (PCT) applications are often used as datasets to measure innovation capability or R&D internationalization, but their concordance is unclear, which is the main issue in this study.

Methods

We collect the global TP and PCT data from the Derwent Innovations Index (DII), and a total of 1,589,172 TP families and 4,067,389 PCT applications are retrieved. Based on International Patent Classification (IPC) codes, we compare these two big datasets in three parts: IPC distribution, IPC co-occurrence network, and nation-IPC co-occurrence network. In order to understand the overall similarities and differences between TP and PCT, we make the basic statistics of the global data and w-core defined based on the w-index. Furthermore, the w-cores are visualized and the global similarities are calculated for the detailed concordance and differences.

Findings

The result shows that the w-core is suitable to select the core part of big data and TP and PCT get high concordance. Meanwhile, in technological convergence, some specific technical fields (e.g. chemistry, medicine, electronic communication, and lighting technology) and countries/regions (e.g. Germany, Japan, China, and Korea), there are a few differences.

Practical implications

TP families are very similar to PCT applications in terms of reflecting innovation capability or R&D internationalization at a macro level, but when it comes to technological convergence, specific research topics, and countries/regions, the choice may depend on the purpose of the research.
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN
Authors: Bhuiyan Md Roman , Abdullah Junaidi , Hashim Noramiza , Farid Fahmid Al , Uddin Jia
Published: May 2023

This article discusses an effective technique for detecting abnormalities in Hajj crowd videos. In order to guarantee the identification of anomalies in scenes, a trained and supervised FCNN is turned into an FCNN using FCNNs and temporal data. By minimizing computational complexity, incorrect movement detection is utilized to achieve high performance in terms of speed and precision. This FCNN-based architecture is designed to handle two primary tasks: feature representation and the detection of incorrect movement outliers. Additionally, to overcome the aforementioned issues, this research will generate a new crowd anomaly video dataset based on the Hajj pilgrimage scenario. On the proposed dataset, the UCSD Ped2, Subway Entry, and Subway Exit datasets, the proposed FCNN-based technique obtained ultimate accuracy of 100%, 90%, 95%, and 89%, respectively. Additionally, the ResNet50-based technique achieved ultimate accuracy of 96%, 89%, 94%, and 92%, respectively, for the proposed dataset, the UCSD Ped2, Subway Entry, and Subway Exit datasets.
Adaptive neuro-fuzzy inference system for customizing investment type based on the potential investors’ demographics and feedback
Authors: Asemi Asefeh , Asemi Adeleh , Ko Andrea
Published: May 2023

The proposed model is an adaptive neuro-fuzzy inference recommender system that utilizes customer investment service feedback and fuzzy neural inference solutions to generate personalized investment recommendations. The model is designed to support the investment process for the customers and takes into consideration seven factors to implement the proposed investment system model through the customer or potential investor data set. These include demographic data and investment type. The model is divided into three main phases: data gathering, data analysis, and decision-making. In the data gathering phase, initial data is collected through a web-based platform, and in the data analysis phase, the potential investors' demographic criteria are extracted and grouped, and the types of investments are then clustered. The output obtained is transferred to the ANFIS layer, and investment-type recommendations are extracted for each group of potential investors. Investor feedback is received to improve and develop the system. JMP and MATLAB are used to propose the model, which serves as a framework for investment recommender systems. It demonstrates how to use this framework to offer pertinent and precise recommendations for the best sort of investment type to potential and present investors by combining the expertise of the experts and the demographic information of potential investors. Overall, this paper provides a new, novel model for investment recommender systems, which can assist investment companies, individual investors, and fund managers in their investment decisions.
Temporal relationship between vasopressor and sedative administration and cerebrovascular response in traumatic brain injury: a time-series analysis
Authors: Froese Logan , Gomez Alwyn , Sainbhi Amanjyot Singh , Vakitbilir Nuray , Marquez Izabella , Amenta Fiorella , Stein Kevin Y. , Zeiler Frederick A.
Published: May 2023

Background

Although vasopressor and sedative agents are commonly used within the intensive care unit to mediate systemic and cerebral physiology, the full impact such agents have on cerebrovascular reactivity remains unclear. Using a prospectively maintained database of high-resolution critical care and physiology, the time-series relationship between vasopressor/sedative administration, and cerebrovascular reactivity was interrogated. Cerebrovascular reactivity was assessed through intracranial pressure and near infrared spectroscopy measures. Using these derived measures, the relationship between hourly dose of medication and hourly index values could be evaluated. The individual medication dose change and their corresponding physiological response was compared. Given the high number of doses of propofol and norepinephrine, a latent profile analysis was used to identify any underlying demographic or variable relationships. Finally, using time-series methodologies of Granger causality and vector impulse response functions, the relationships between the cerebrovascular reactivity derived variables were compared.

Results

From this retrospective observational study of 103 TBI patients, the evaluation between the changes in vasopressor or sedative agent dosing and the previously described cerebral physiologies was completed. The assessment of the physiology pre/post infusion agent change resulted in similar overall values (Wilcoxon signed-ranked p value > 0.05). Time series methodologies demonstrated that the basic physiological relationships were identical before and after an infusion agent was changed (Granger causality demonstrated the same directional impact in over 95% of the moments, with response function being graphically identical).

Conclusions

This study suggests that overall, there was a limited association between the changes in vasopressor or sedative agent dosing and the previously described cerebral physiologies including that of cerebrovascular reactivity. Thus, current regimens of administered sedative and vasopressor agents appear to have little to no impact on cerebrovascular reactivity in TBI.
The cytotoxic effect of cysteamine and its combinations with various endodontic intracanal medications on fibroblast cells: in vitro study
Authors: ElGammal Esraa Adel Mohamed Abd Elhameed , Mahran Abeer Hashem , El Ashry Salma Hassan , Fahmy Sara Hossam
Published: May 2023

Background

This study was established to assess cysteamine’s cytotoxic effect alone and in combination with various intracanal medications on fibroblast cells, because the biocompatibility of intracanal medication is considered one of the main factors that affect the selection of specific medication for usage near vital periodontal tissues.

Methods

All tested medications were prepared in a solution form. Cysteamine preparation was prepared at 200 mg/ml concentration in distilled water. The chlorhexidine–cysteamine combination was prepared by dissolving 10 mg/ml of cysteamine in chlorhexidine. Calcium hydroxide–cysteamine combination was prepared by dissolving 10 mg/mL of cysteamine in a saturated solution of calcium hydroxide (CaOH). Triple antibiotic paste (TAP)–cysteamine combination was prepared by dissolving 10 mg/mL of cysteamine in triple antibiotic paste (TAP). BHK cells were seeded in well-microtiter plates. The testing materials were filtrated using a 0.22 μm syringe filter. BHK-21 cells precultured well plates were treated with descending 12-fold serially diluted medications at 37 °C for 24 h. Residual living cells were treated with 25 μl of MTT dye. MTT was discarded, and then, dimethyl sulfoxide was added as 50 μl/well. The absorbance was conducted at 570 nm. The mean optical density and 50% cell growth inhibition (IC50) were calculated. Cell viability data showed parametric distribution, so they were analyzed using one-way ANOVA followed by Tukey’s post hoc test for intergroup comparisons and repeated measures ANOVA followed by Bonferroni’s post hoc test for intragroup comparisons. The significance level was set at p ≤ 0.05.

Results

Viability % and IC50 results showed that triple antibiotic paste (TAP)–cysteamine combination had the lowest cytotoxicity level compared to other intracanal combinations followed by cysteamine and the highest cytotoxicity was with chlorhexidine–cysteamine combination.

Conclusions

Triple antibiotic paste (TAP)–cysteamine combination was the safest drug compared to other drug combinations with cysteamine, so it needs more research to detect its acceptance with stem cells and its effect on defense mechanisms during healing.
Persistent, viable seedbank buffers serotinous bishop pine over a broad fire return interval
Authors: Bisbing Sarah M. , Urza Alexandra K. , York Robert A. , Hankin Lacey E. , Putz Tessa R.
Published: May 2023

Background

In ecosystems where fire has been excluded, pyrosilviculture can restore some processes historically maintained by fire while mitigating risk where fire is inevitable. Pyrosilviculture in crown fire-adapted forests is, however, limited by insight into the temporal window of fire return matching canopy seedbank development. Here, we characterized demographic responses to fire and non-native pine pitch canker infection in a chronosequence of serotinous bishop pine stands burned at high-severity to quantify (1) temporal patterns of seedbank development given seed viability and density, cone production, and tree density, and (2) pine pitch canker incidence across tree ages and sizes to assess how infection might impact stand and seedbank development. We use our findings to elucidate pyrosilvicuture as a means of restoring fire given practical challenges of reintroducing high-severity fire in crown-fire adapted forests embedded within wildland urban interfaces (WUI).

Results

Bishop pine produces an abundant, viable seedbank within eight years that persists across developmental stages and age classes. Seed abundance and viability are exceptionally high at even the earliest age (median > 600,000 seeds ha− 1 and 97% viability at 6 years) and remain high, with the oldest stands (36 years) maintaining median densities of > 500,000 seeds ha− 1and viability of 95%. We additionally learned that pine pitch canker infection is most severe during the sapling stage (8–10 years post-fire), likely altering stand development trajectories as well as potentially limiting recruitment, and thus the aerial seedbank, into the canopy.

Conclusions

In bishop pine and equally-fecund serotinous species, pyrosilviculture appears a viable management tool across a broad fire return window given the early development and persistence of a robust, viable seedbank, allowing managers flexibility in restoring fire to promote forest persistence while simultaneously mitigating wildfire risk. Moreover, pyrosilviculture in pine pitch canker infected stands may also provide disease mitigation. Although the long-term effects of pine pitch canker infection remain unknown, bishop pines’ viable, persistent seedbank suggests that managers can ignite prescribed fire across a broad return interval — as short as eight years and as long as several decades — to promote bishop pine persistence, mitigate disease infection rates, and reduce wildfire risk in WUI-adjacent ecosystems.
Depression, poor sleep quality, and diabetic control in type 2 diabetes patients at Sunyani Regional Hospital, Ghana: a case–control study
Authors: Agyekum Jennifer Adjepong , Gyamfi Thomas , Yeboah Kwame
Published: May 2023

Background

Diabetes patients are at risk of developing mental health comorbidities such as depression and poor quality of sleep. These conditions can affect diabetic management, including glycemic and plasma lipid control to optimal levels. We investigated the association between diabetic control and the presence of depression and poor sleep quality in type 2 diabetes (T2DM) patients at Sunyani Government hospital in Ghana. Using a case–control design, we recruited 200 T2DM patients and compared them to 160 non-diabetic controls. The presence of depression was assessed using the Patient Health Questionnaire (PHQ)-9 and sleep quality using the Pittsburgh Sleep Quality Instrument (PSQI). Blood samples were collected to measure glycated hemoglobin (HbA1c) levels and plasma lipid profiles. Poor glycemic control was defined as HbA1c > 7%, depression as PHQ-9 score > 9 and poor sleep quality as PSQI score ≥ 5.

Results

T2DM patients had a higher prevalence of depression (31.5% vs 10.6%, p < 0.001) and poor sleep quality (64% vs 40%, p < 0.001) compared to non-diabetic controls. Glycemic control was not associated with depression and poor sleep quality in T2DM patients. Depression was associated with increased odds of hypercholesteremia [OR (95% CI) = 10.71 (2.64–43.41), p < 0.001] in non-diabetic controls and poor sleep quality was associated with increased odds of low HDL cholesterol in T2DM patients [3.2 (1.38–7.48), p = 0.007] and hypertriglyceridemia in non-diabetic controls [2.54 (1.15–8.51), p < 0.001].

Conclusion

In our study population, depression and poor sleep quality were common in T2DM patients compared to non-diabetic controls. Depression and poor sleep quality were associated with abnormalities in serum lipid levels, but not glycemic control.
Technological environment and sustainable performance of oil and gas firms: a structural equation modelling approach
Authors: Akhimien Okharedia Goodheart , Adekunle Simon Ayo
Published: May 2023

This study draws from the dynamic capabilities theory to examine how sustainable performance measured along with financial, environmental, and social performance are impacted by technology infrastructure, technology knowledge, and technology applications. Copies of the questionnaire were administered to the Operations and Information Technology department staff of selected oil firms in the Niger Delta region of Nigeria. Out of the three hundred (300) copies of the questionnaire administered, two hundred and forty-three (243) were validly filled. Sixteen (16) of the responses were deleted due to the presence of an outlier in the dataset. The remaining two hundred and twenty-seven (227) responses were used for data analyses. The research model was estimated using structural equation modelling to establish relationships among the variables. The study found that technology infrastructure has a positive but insignificant impact on the sustainable performance of oil and gas firms. However, technology knowledge and application positively and significantly impact sustainable performance. The study recommends that oil and gas companies continually employ, reward, and train individuals to absorb and utilize acquired technologies to develop a standard for addressing the social and environmental problems in the Niger Delta region.
The so-called Y-type urethral duplication: anatomical insights through controversial terminology
Authors: AbouZeid Amr Abdelhamid , Mohammad Shaimaa Abdelsattar
Published: May 2023

Background

Y-type urethral duplication is a term frequently used to describe a rare condition in the male associated with double urinary stream: a weak interrupted urinary stream through a hypoplastic penile urethra, while the main urine flow is through the anus/perineum via accessory posterior channel. Fortunately, the advent of MRI has provided a powerful tool to study these anomalies in depth and on multiple planes.

The study included boys presenting with abnormal micturition through the anus beside weak interrupted urine stream through the penis. Investigations included pelviabdominal ultrasound to screen for possible associated upper urinary tract anomalies, conventional contrast X-ray studies, and pelvic MRI.

Results

During the period between 2016 through 2021, the study included two newly diagnosed cases with abnormal communication between the lower urinary tract and the anus (the so-called Y-type urethral duplication), in addition to one previously reported case whose preoperative imaging studies (including pelvic MRI) were available for analysis. Different surgical solutions have been applied for each case. Hypoplasia was not only restricted to the penile urethra but also affected the corporeal bodies of the penis with variable degrees. In two cases, only a single corporeal body could be identified. In another case, the three corporeal bodies were present but appeared distorted (irregularities and interruption of corporeal bodies).

Conclusion

In our present study, pelvic MRI examination clearly unveiled significant degrees of corporeal dysgenesis among cases diagnosed as Y-type urethral duplication that would strongly suggest these cases to belong to the same disease spectrum of penile dysgenesis/agenesis.
Impact of bench repair for donor mitral valve before orthotopic heart transplantation: a case report
Authors: Mikami Tsubasa , Kawamura Takuji , Ito Yoshito , Misumi Yusuke , Kashiyama Noriyuki , Kawamura Ai , Kawamura Masashi , Yoshioka Daisuke , Shimamura Kazuo , Toda Koichi , Miyagawa Shigeru
Published: May 2023

Background

The use of donor hearts with valvular disease has been considered debatable in heart transplantation for many years. However, few reports indicate successful heart transplantation using donor hearts with mitral regurgitation that underwent mitral valve repair on the back bench.

Case presentation

We report two cases of a 38-year-old and a 48-year-old woman with implantable left ventricular assist devices who underwent heart transplantation at our institution. Transthoracic echocardiography of donor hearts just before the explant revealed that each donor heart had preserved cardiac function and significant mitral regurgitation due to mitral posterior leaflet prolapse and annular dilatation, respectively. Bench mitral valve repair was accomplished using triangular resection for one patient and annuloplasty for the other. This was followed by confirmation of excellent mitral leaflet coaptation without residual mitral regurgitation. Transthoracic echocardiography and right heart catheterization performed 6 months after transplantation clarified the favorable cardiac function of each transplanted heart without mitral regurgitation recurrence.

Conclusions

Efficient utilization of donor hearts with mitral regurgitation may be acceptable when the cardiac function of donor hearts with mitral regurgitation is preserved and heart transplantation, including bench mitral valve repair, is feasible within an acceptable ischemic time.
Metoda oceny wartości i kształtowania krajobrazu oraz jej zastosowanie dla wybranych małych miast województwa pomorskiego objętych obszarami chronionego krajobrazu
Authors: Kistowski Mariusz
Published: May 2023

The aim of the research was to delimit landscapes, identify their features, analyse their frequency and assess their value, as well as to provide some recommendations on their development and protection. The research area covers four small towns in the Province of Pomerania (Człuchów, Gniew, Prabuty and Dzierzgoń), where protected landscape areas have been established. A wide range of numerical data was used, especially on land cover and relief, as well as on cultural assets. Initially, what was applied was the methodology proposed for performing a landscape audit of the provinces. However, it was significantly modified during the course of the study. Use was made of two approaches to landscape delimitation: one based on land cover and a comprehensive one, allowing for a type of relief, a degree of anthropisation and the texture of a landscape. The first approach made it possible to assess the degree of landscape anthropisation, and the second one enabled the evaluation of the landscape when the criterion of the value of landscape exposure elements was added. The degrees of anthropisation and landscape value vary in the investigated cities, with greater differences in the parts covered by protected landscape areas than in those located in their surroundings. There are also significant differences in the scope and extent of proposed conservation measures. The research – in addition to modifying the previously proposed method – as also found that some of the protected areas have landscapes of lower value than their neighbourhoods, so it can also support planning changes in the existing boundaries or creating new protected areas.
Changes in the annual flow of the Kura River
Authors: Imanov Farda , Aliyeva Irada , Nagiyev Saleh , Leummens Harald
Published: May 2023

The article presents the analysis of changes in the annual flow of the Kura River and its large transboundary tributaries, resulting from climate change and anthropogenic factors, mainly irrigated agriculture. It is shown that a significant change in the flow regime of the Kura River began after the construction of the multi-purpose Mingachevir reservoir in 1953. Morevoer, climate change observed in the river basin since the mid 1990s manifests itself by an increase in air temperature and a decrease in precipitation, which has led to a further decrease in the river’s flow. During the lengthy drought period that began in 2011 and is still in progress, the decrease in the river flow in the downstream section of the Kura River has reached critical levels, causing serious problems regarding not only the irrigation of drylands, but also the supply of drinking water to settlements. The second part of the article describes also other social and economic, as well as environmental consequences of a decrease in the flow of the Kura River.
Geographical problems of economic development of the seaside towns controlled by the government of Georgia: The cases of Batumi and Poti
Authors: Kvinikadze Giorgi , Dolbaia Tamar , Chkhaidze Vladimer
Published: May 2023

The main goal of the study is to identify and classify economic problems in the cities of the coastal zone of Georgia. For this purpose, the Georgian coastal cities of Batumi and Poti have been selected. The research attempts to answer three strategic questions: 1. What is the relationship between the authorities of the seaside city and the existing business entities? 2. How does the population assess the role of authorities at various levels in the economic development of the cities under study? 3. What is the participation level of the population in economic projects in their cities? The study is empirical in nature. The main method used is triangulation (document analysis, qualitative research, quantitative research, mapping), partly a case method, and comparative analysis. It has been established that the territorial resources of both cities are severely limited for their future economic development. The study presents a classification of the existing problems hindering the economic growth of coastal cities based on expert assessments. It turns out that owing to limited financial resources, city municipalities cannot increase their participation in current economic projects. The article reveals certain disagreements between the interests of municipalities and economic entities. Furthermore, a survey conducted among the population shows an indifferent and even negative attitude of the local population towards the role of local municipalities in the economic development of cities. The research indicates that an involvement of the urban population in ongoing and promising economic projects in cities is rather low.
Występowanie, rozwój i podstawowe cechy strukturalne zespołów przyrodniczo-krajobrazowych małych miast Polski
Authors: Badora Krzysztof
Published: May 2023

The landscape-nature complex is one of the few forms of protecting landscape visual assets and the only one created by local governments, which may contribute to the preservation of the aesthetics of small towns. The scope of its application has not been recognised so far. The aim of the research was to evaluate the use of landscape-nature complexes in the protection of landscapes of small towns in Poland. The studies embraced the dynamics of the application of this instrument in the last 30 years, its spatial distribution and representativeness in relation to the landscape zones of Poland, the share and location in the urban space, protection motives, as well as structural features. The results show that complexes in the protection of small town landscapes in Poland are used to a small extent, not exceeding a few percent of the cities. There has not been much interest in using this instrument, particularly in the last 10 years. The occurrence of complexes in areas of high landscape values, especially in mountain, foothill, lake and coastal areas, is insufficient and not representative. The area shares are very diverse, but in most cases, they do not exceed a few percent. Complexes are located mainly on the outskirts of towns, less often in the center. The dominant protective motive is the protection of nature, while parks constitute mainly cultural and historical assets. In a small proportion of the complexes, aesthetic and visual values ​​are explicitly indicated as the purpose of protection. The differences in the landform of the complexes are small, as opposed to the cover forms. It is necessary to improve the legal basis for the protection of the existing complexes and to develop unified methods and procedures for their identification, creation and protection.
Ilościowe i jakościowe przemiany sieci ulic w przestrzeni geograficznej Nowego Miasta – historycznej jednostki morfologicznej Łodzi
Authors: Jażdżewska Iwona
Published: May 2023

This article analyses the historical transformation of the New Town streets, a historic morphological unit of Łódź designed in the early 19th century. The research is based on a detailed study of historical cartographic materials, contemporary geodetic data and the use of GIS to compare the changes in the area occurring over nearly 200 years. First, the origins and layout of the area’s early urban pattern are illustrated. Then, the process of changes that has taken place in this part of the city up to the present day is shown. The study involved a reconstruction of the streets in retrospective terms, taking the contemporary street grid as the first period. The archival city plans served as the basis for the identification of those parts of the historic district that survived unchanged as well as the areas that went through major transformations with their following consequences. The analysis is spatial in character—quantitative and qualitative. What is discussed are changes that have occurred in the geometry of the street network and in their naming. Reference was made to the geographic environment and social, economic and political aspects. The impact of systemic and political changes on the choice of street names was noted.
Sensory gardens as a new form of urban green space in smart sustainable cities
Authors: Zajadacz Alina , Lubarska Anna
Published: May 2023

Sensory gardens have been known since antiquity, but they are becoming more and more important in terms of smart city development. The article presents a literature review on the diverse functions of sensory gardens, the concept of a smart and green city, and the sensory garden as a new form of urban green spaces (UGS). The aim of the research was to identify expectations regarding the development of modern gardens in urban spaces, in the context of a smart city. The primary data collection method was social surveys on the expectations regarding the development of parks and city gardens, carried out among the inhabitants of Poland and Russia. The studied sample had a total of 230 people. The research was conducted in January 2021 using an internet survey. The questions were both open and closed, and related to issues such as: (1) the most important features of gardens and city parks; (2) the definition of a sensory garden; (3) the main functions that gardens and city parks should fulfil in the future. The results of the conducted research confirmed the adopted hypothesis that sensory gardens as green enclaves with different functions constitute new, prospective forms of development of urban green spaces in smart sustainable cities. The social needs for urban green spaces are clear and reflect current environmental problems regarding the quality of atmospheric air and access to green spaces in the vicinity. The respondents agree that the most important features of gardens and parks include fresh air and the possibility of resting. Keywords: green city, sustainable city, smart city, urban areas, sensory gardens; smart green city, smart green integration, and smart gardens.
Dostępność przestrzenna wybranych usług wokół łódzkich stadionów piłkarskich w oparciu o ideę miasta 15-minutowego
Authors: Jasion Angelika
Published: May 2023

One of the main problems and challenges of today’s cities is to reduce individual motorised transport and ensure good pedestrian accessibility. New urban concepts, such as the 15-minute city concept related to the spatial accessibility of services around people’s places of residence, are an attempt to respond to those challenges. The purpose of the article is to assess the spatial accessibility of selected services around two football stadiums in Łódź. In the article, the main assumptions of the 15-minute city concept were transferred from the point of view of a city resident to that of a tourist and a football fan. Indeed, modern stadiums are meeting venues for sports, cultural and business events, and sports tourism is an increasingly popular type of tourist activity. The accessibility areas of the stadiums were determined using the analysis tool in ArcGIS Online, while the service data were obtained from the Database of Topographic Objects (BDOT10k). Final accessibility of services was determined using a cumulative method. The accessibility areas of the two stadiums differ in shape, size and service facilities. The main spatial determinants of these areas are railroad tracks and major transport arteries. The area designated around the LKS stadium is larger and more accessible in terms of selected services, whereas the Widzew stadium has poorer access to all services.
Wykorzystanie platformy Polski e-bazarek na rzecz rozwoju smart usług w gospodarstwach rolnych województwa wielkopolskiego
Authors: Kołodziejczak Anna
Published: May 2023

The Internet is one of the distribution forms in terms of establishing direct contacts between farmers, food producers, and consumers. The aim of the research undertaken was an attempt to diagnose the state of information technology used by farmers in the direct sale of produce and services providing the basis for the development of smart services in rural areas. The diagnosis of farmers’ attitudes has been drawn on the research embracing the online marketplace Polski e-bazarek which enables farmers to place free of charge food sale offers and promotion of produce developed in agricultural holdings. It is to promote short supply chains and support agricultural producers in selling unprocessed and processed foods. The beneficiaries of Polski e-bazarek are farmers and end-consumers who seek healthy, fresh products that use traditional recipes and traditional manufacturing methods, as well as those produced under quality systems. The information obtained concerns the first half of 2022. The agricultural holdings selected for the study are situated within the Wielkopolskie Voivodeship, where the proportion of farmers using the Internet amounted to 88.3% in 2021, as compared to Poland, where it was 75.1%.
Integrated Reporting As a Basis for Socially Responsible Investing
Authors: Voronova E. , Puchkova S.
Published: May 2023

The article is devoted to integrated reporting, which is considered as the basis of socially responsible investment. The article focuses on the fact that the needs of modern investors have changed significantly over time, today they take into account not only the potential return on the shares of an individual company, but also consider a complex of environmental, social and ethical indicators, information about business governess, its sustainable development.
Theoretical Aspect of the Confession in Accounting Commercial Organizations Main Means and Their Estimations
Authors: Polenova S.
Published: May 2023

Innovations are analyzed in article on confession in accounting the main means commercial organization and their estimations in light FSBU 6/2020 «Main means», is executed attempt to motivate the order of the record on count of the accounting operation upon their depreciating.
On the Single Tax Account As a New Form of Accounting for Obligations and Their Fulfillment
Authors: Smirnov E.
Published: May 2023

On January 1, 2023, Federal Law No. 263-FZ dated July 14, 2022, which introduced the institution of a single tax account in Russia, came into force. According to parliamentary analysts, the implementation of the provisions of this law will significantly simplify the system of taxpayers’ settlements with the budget and reduce the number of errors made by the parties to the settlements.
Information Support for the Formation of an Effective Strategy for the Sustainable Development of Construction Organizations
Authors: Grishkina Svyetlana , Pliev H.
Published: May 2023

The article presents a study of information support for the sustainable development strategy of construction organizations and substantiates the approach to the formation of sustainable development strategies of construction com-panies. In the article, an analysis of existing approaches to understanding the concepts of sustainable development and company development strategy was carried out, based on which the definition of the concept of sustainable development strategy was formulated. A model of a sustainable development strategy for a construction organization is proposed. In addition to financial indicators, the strategy also includes a non-financial block, including goals and objectives that take into account sustainable development factors characteristic of the construction industry.
Audit of Sustainable Development of Electronic Industry Organizations
Authors: Kazakova Nataliya , Permitina Lyudmila
Published: May 2023

Abstract. The article discusses the indicators and trends in the implementation of the strategy for the development of the electronic industry in the context of sanctions and import substitution policy. Methodological aspects of the audit of sus-tainable development, tools for the formation of strategic business reporting, including a production accounting model based on the concept of sustainable development, ESG indicators, control of efficiency and risks of sustainable develop-ment on the example of electronic industry organizations are considered.
When does a healthy lifestyle turn into a disorder? Orthorexia – diagnostic problems, methods of treatment
Authors: Zalewa Karolina , Kapłan Wojciech , Rachwał Dominika , Bartoszek Lidia , Olszak Joanna , Rogowska Monika , Świdziński Rafał , Lipiec Jakub , Skorupski Bartosz , Piątek Ewa
Published: May 2023

Introduction: Orthorexia nervosa (ON) is a common phenomenon. Its prevalence in society ranges from 1% to 60%. Yet, there are no specific diagnostic criteria or effective screening tests. Moreover, orthorexia does not appear in any of the available international psychiatric classifications such as the ICD (International Statistical Classification of Diseases and Related Health Problems) and DSM (Diagnostic and Statistical Manual of Mental Disorders). Due to this fact many people remain undiagnosed, which significantly affects their standard of living, and later puts a strain on the health care system.

Material and method: The article is based on a study and analysis of available publications in the last few years, published in the PubMed database.

Conclusions: It is crucial to create specific diagnostic criteria for orthorexia. This will enable efficient detection of patients at an early stage of the disorder, which will significantly shorten the diagnostic path. Moreover, specifying potential risk factors will help to reduce new cases.