bluuebunny/crossref_metadata_2025 huggingface dataset:
Novel Model-Based Decision Support System for Reliable Human Machine Systems in Complex Situations
Authors: Bejaoui Abderahman , He Chao , Söffker Dirk
Published: February 2023

Within human-machine systems the monitoring of human behavior contributes to the safety of the overall system. Detecting critical situations or observing human errors will allow to take over the guidance of systems by automation or to warn to affect the interaction operator/human.In the project FernBin beside others the supervision of the captain’s actions in inland shipping is  addressed. The focus is to detect  human errors and also non- optimal behaviors. Additionally  a reliability-based analysis of the captain’s actions will also enable a safer driving behavior and the reduction of accidents and dangerous situations due to suitable warning and interaction strategies of the supervision system.In this contribution a Situation-Operator-Modeling (SOM) approach is used to describe the captain-vessel-interaction and to illustrate the captain’s behavior as a graph-based-model. As example a ‘Turn-around’ maneuver is considered. A SOM-based action space consisting of possible captain’s behaviors leading to a meaningful desired final situation is developed and applied to a ‘Turn-around’ maneuver. Using this approach a manifold of sequences can be generated describing the human interaction options.Subsequently and online a modified CREAM approach (cognitive reliability and error analysis method) is used allowing the calculation of the human reliability performance score (HPRS), resulting to static reliability measures. The HPRS can be also assigned directly to the SOM-action space. In difference to previous developments this allows beside the deterministic supervision (SOM) also the individualized definition of the safest/most reliable action sequence as well as the opposite. Therefore an event-discretized behavior model situated supervision performance of the captain’s driving behavior with human reliability score numbers is established for the first time. As example the behavior of remotely operating captains of inland vessels is used as experimental example.
Data Driven Condition Monitoring Based on a Digital Twin for a Linear Actuator Realized As a Closed Hydraulic System
Authors: Pichler Kurt , Foschum Paul , Haas Rainer , Schwacke Johannes
Published: February 2023

Linear actuators, implemented as closed hydraulic systems, without external piping, are a state of the art drive concept, see (Gannon, 2017). Collecting data, used to train a condition monitoring (CM) for such drives, running 24/7, is cumbersome or even not possible. To gain training data, containing valid and invalid system states, we developed a simulation model, consisting of the most relevant physical effects. The simulated data are evaluated by a one-step feature approach and additionally with a two-step approach using two less complex fault state separation methods. In the end, the two-step method showed to be slightly better. The condition monitoring is not only used to recognize, but also to distinguish between accumulator and pump faults.
Self-supervised Learning for Efficient Remaining Useful Life Prediction
Authors: Söderkvist Vermelin Wilhelm , Lövberg Andreas , Kyprianidis Konstantinos
Published: February 2023

Canonical deep learning-based Remaining Useful Life (RUL) prediction relies on supervised learning methods which in turn requires large data sets of run-to-failure data to ensure model performance. In a large class of cases, run-to-failure data is difficult to collect in practice as it may be expensive and unsafe to operate assets until failure. As such, there is a need to leverage data that are not run-to-failure but may still contain some measurable, and thus learnable, degradation signal. In this paper, we propose utilizing self-supervised learning as a pretraining step to learn representations of the data which will enable efficient training on the downstream task of RUL prediction. The self-supervised learning task chosen is time series sequence ordering, a task that involves constructing tuples each consisting of $n$ sequences sampled from the time series and reordered with some probability $p$. Subsequently, a classifier is trained on the resulting binary classification task; distinguishing between correctly ordered and shuffled tuples. The classifier's weights are then transferred to the RUL-model and fine-tuned using run-to-failure data. We show that the proposed self-supervised learning scheme can retain performance when training on a fraction of the full data set. In addition, we show indications that self-supervised learning as a pretraining step can enhance the performance of the model even when training on the full run-to-failure data set. To conduct our experiments, we use a data set of simulated run-to-failure turbofan jet engines.
Dynamics of non-specific humoral immunity factors in poultry which received feed supplement based on silkworm pupae
Authors: Stegniy B. T. , Kovalenko L. V. , Boiko V. S. , Rudenko O. P. , Pazushchan O. Ye.
Published: February 2023

The purpose of the study was to determine the focus and the intensity of the effect of the developed feed supplement based on the silkworm pupae on the nonspecific humoral immunity of poultry. The research was carried out on one-day-old broiler chickens, which were kept in standard vivarium conditions. The birds of first group were given the supplement in the morning, mixing with compound feed at the rate of 3.0 ml/kg of live weight. The second group was control. On the 20th, 27th, 34th and 48th days, 5 birds from each group were euthanized and blood was collected for clinical and biochemical studies. To determine the indicators of non-specific humoral immunity of birds after receiving feed supplement based on silkworm pupae in the blood serum of birds, the level of total protein, albumins, globulins, the concentration of circulating immune complexes of average molecular weight and seromucoids were determined by generally accepted methods. As a result of the use of a feed supplement based on silkworm pupae, there was determined an increase in the level of hemoglobin up to 16.0% and a slight activation of erythropoiesis, an increase in the level of humoral immunity, as evidenced by an increase in globulins up to 12.2% and circulating immune complexes up to 30.7%, and also inhibition of seromucoid synthesis by 15.4%. Thus, it has been concluded that the use of a feed supplement based on silkworm pupae allows to increase the level of non-specific humoral immunity of chickens, as evidenced by increased expression of its markers (globulins, circulating immune complexes), as well as inhibition of seromucoid synthesis. The revealed positive effect of the feed supplement based on silkworm pupae on the state of natural resistance can be considered as one of the factors of increasing the average daily weight gain of chickens by 39.0% in the first 7 days of life
Some aspects of effective control of Bovine infectious rhinotracheitis in European countries
Authors: Kornieikov О. M. , Stegniy B. T. , Oleshko А. Yu. , Borodai N. I. , Korovin I. V. , Golovko V. О. , Severyn R. V. , Al Jabari Munir
Published: February 2023

Data on the epizootic situation concerning bovine infectious rhinotracheitis in the countries of the European continent are presented. Most of the countries that are members of the World Organization for Animal Health have implemented anti-epidemic measures on their territory, which include observation, reporting, monitoring or screening, as well as control of the movement of animals within the country and precautionary measures at the border. It has been noted that permanent safety in relation to the disease is possible only under the conditions of implementation of mandatory control measures at the state level, which are based on the removal of seropositive animals infected with an epizootic strain of the virus from herds simultaneously with or without the use of vaccines. In most countries of the European Union, IRT virus eradication programs have been implemented, which are based on research and removal strategies, as well as differentiation of vaccinated from infected animals. As the experience of the Scandinavian countries has shown, the most effective scheme is the eradication of the IRT pathogen by slaughtering infected animals, but this is only possible under conditions of a low level of livestock infection. The most economically feasible strategy for controlling IRT in herds with high levels of infection is the use of marker vaccines, followed by differentiation of vaccinated animals from infected ones and removal of the latter from the herd. When a low level of herd seropositivity is reached, it is advisable to implement a detection and slaughter strategy
Insufficiently explored minor viral infections of cattle. 1. Bovine immunodeficiency (literature review)
Authors: Gorbatenko S. K. , Kuznetsova O. V. , Miahkykh N. V. , Kornieikova O. B.
Published: February 2023

The article contains materials from literary reports on the influence of minor infections, namely bovine leukemia, bovine immunodeficiency and bovine spumavirus infection on the immune status of animals, antigenic affinity of pathogens. Emphasis is placed on the biological properties of the causative agent of bovine immunodeficiency, its spread and pathogenesis, and disease diagnosis
Acoustic Echo Sensing for Robot Localization in Buried Pipe Networks
Authors: Worley Rob , Yu Yicheng , Horoshenkov Kirill , Anderson Sean
Published: February 2023

The abstract of this pre-print paper is: Robot localization in buried pipes presents a number of challenges, including the unavailability of methods such as a global positioning system, and the limited perspective of sensors such as vision. This paper addresses these challenges by using acoustic sensing, where signals sent by robots propagate long distances and around corners in the pipe environment, and can be used to estimate the distance to reflective features. It is shown that the reverberant environment causes a number of echoes which contain useful information. A novel algorithm for using this information in pose-graph optimization is proposed, and is shown to be necessary in comparison to a naive approach. The algorithm is demonstrated to be accurate and robust by measuring the error rate, which is the proportion of estimate error that was greater than a target threshold of 0.5 metres.  The median error rate was 0 for measurement uncertainty 2.5 times larger than that found experimentally, and for motion uncertainty 4 times that which could be tolerated by an idealised loop-closure approach used for comparison. This work is the foundation for new data fusion methods for robot localization in buried pipes.
Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation
Authors: Franco-Barranco Daniel , Lin Zudi , Jang Won-Dong , Wang Xueying , Shen Qijia , Yin Wenjie , Fan Yutian , Li Mingxing , Chen Chang , Xiong Zhiwei , Xin Rui , Liu Hao , Chen Huai , Li Zhili , Zhao Jie , Chen Xuejin , Pape Constantin , Conrad Ryan , De Folter Jozefus , Nightingale Luke , Jones Martin , Liu Yanling , Ziaei Dorsa , Huschauer Stephan , Arganda-Carreras Ignacio , Pfister Hanspeter , Wei Donglai
Published: February 2023

In this paper, we present the results of the MitoEM challenge on mitochondria 3D instance segmentation from electron microscopy images, organized in conjunction with the IEEE-ISBI 2021 conference. Our benchmark dataset consists of two large-scale 3D volumes, one from human and one from rat cortex tissue, which are 3,600 times larger than previously used datasets. At the time of paper submission, 257 participants had registered for the challenge, 14 teams had submitted their results, and six teams participated in the challenge workshop. Here, we present eight top-performing approaches from the challenge participants, along with our own baseline strategies. Posterior to the challenge, annotation errors in the ground truth were corrected without altering the final ranking. Although several of the top methods are compared favorably to our own baselines, substantial errors remain unsolved for mitochondria with challenging morphologies. Thus, the challenge remains open for submission and automatic evaluation, with all volumes available for download. Additionally, we present a retrospective evaluation of the scoring system performed using TIMISE, our novel open-source evaluation toolbox, which revealed that (1) the challenge metric was permissive with the false positive predictions and (2) the size-based grouping of instances did not correctly categorize mitochondria of interest. Thus, we propose a new scoring system that better reflects the correctness of the segmentation results. 
Current Progress and Challenges in Large-scale3D Mitochondria Instance Segmentation
Authors: Franco-Barranco Daniel , Lin Zudi , Jang Won-Dong , Wang Xueying , Shen Qijia , Yin Wenjie , Fan Yutian , Li Mingxing , Chen Chang , Xiong Zhiwei , Xin Rui , Liu Hao , Chen Huai , Li Zhili , Zhao Jie , Chen Xuejin , Pape Constantin , Conrad Ryan , De Folter Jozefus , Nightingale Luke , Jones Martin , Liu Yanling , Ziaei Dorsa , Huschauer Stephan , Arganda-Carreras Ignacio , Pfister Hanspeter , Wei Donglai
Published: February 2023

In this paper, we present the results of the MitoEM challenge on mitochondria 3D instance segmentation from electron microscopy images, organized in conjunction with the IEEE-ISBI 2021 conference. Our benchmark dataset consists of two large-scale 3D volumes, one from human and one from rat cortex tissue, which are 3,600 times larger than previously used datasets. At the time of paper submission, 257 participants had registered for the challenge, 14 teams had submitted their results, and six teams participated in the challenge workshop. Here, we present eight top-performing approaches from the challenge participants, along with our own baseline strategies. Posterior to the challenge, annotation errors in the ground truth were corrected without altering the final ranking. Although several of the top methods are compared favorably to our own baselines, substantial errors remain unsolved for mitochondria with challenging morphologies. Thus, the challenge remains open for submission and automatic evaluation, with all volumes available for download. Additionally, we present a retrospective evaluation of the scoring system performed using TIMISE, our novel open-source evaluation toolbox, which revealed that (1) the challenge metric was permissive with the false positive predictions and (2) the size-based grouping of instances did not correctly categorize mitochondria of interest. Thus, we propose a new scoring system that better reflects the correctness of the segmentation results. 
Post COVID-19 Syndrome among Children: Review of the Literature
Authors: Odeh Ammar Salman , Hamdan Said Marwan
Published: February 2023

Despite the fact that children have a lower risk of contracting COVID-19, a growing number of studies have shown an increase in the incidence of the pandemic among children. Reviewing the previous research on post-COVID-19 syndrome in children was the primary purpose of this study's literature analysis and review. We looked through a large number of research engines, such as PubMed, Google Scholar, ScienceDirect, and ResearchGate. The findings indicated that COVID-19 in children continues to be present for a considerable amount of time after the symptoms have subsided. When considered as a whole, the COVID-19 protocol for children should be adhered to because it does not end when the symptoms are relieved. Following an infection, there is generally a documented potential for the involvement of pathogenesis in multiple organs as a result of the infection.
The Prevalence of Ocular Surface Disease in Glaucoma Patients
Authors: Talbi C. , Taouti H. , Belghmaidi S. , Hajji I. , Moutaouakil A.
Published: February 2023

Introduction: Glaucoma is the third cause of blindness in developed countries after age-related macular degeneration (AMD) and diabetic retinopathy. The aim of this study was to determine the prevalence of ocular surface disease in patients treated for glaucoma or ocular hypertonia. Patients and methods: We conducted a one-year observational study including glaucoma patients older than 15 years, diagnosed and treated for more than six months. The impact of anti-glaucoma treatment on the ocular surface was assessed by a questionnaire derived from the Ocular Surface Disease Index (OSDI). Results: Antiglaucoma treatment caused an alteration of the ocular surface in 59% of patients. 61.7% of patients had a mean epithelial thickness below normal. Discussion: Several observational studies have shown a high prevalence of ocular surface disease in glaucoma patients. The prevalence of surface involvement in our study is close to most studies in the literature. The strong correlation between the number of eye drops prescribed and the severity of ocular surface involvement has been proven. This correlation is attributed to the preservative benzalkonium chloride (BAK). Among the cellular alterations, we noted a decrease in mucus cells with a decrease and instability of the thickness of the tear film, which was more important in patients under BAK preserved eye drops than in those without BAK. Conclusion: Our study allowed us to determine the frequency of ocular surface damage in patients treated long-term with hypotonizing eye drops. The mechanisms of this damage are multiple. Preservatives seem to play a central role in the genesis of these reactions.
From Chaos to Control: The Power of Master Data Management
Authors: Addepalli Mr. Sasi Kumar Raju
Published: February 2023

In today's fast-paced business world, data is king. Companies rely on data to make informed decisions, improve operations, and drive growth. However, as data becomes more and more abundant, it can also become increasingly difficult to manage. Leveraging Master data management (MDM) can handle this in seamless way. MDM is a strategy and set of tools used to centralize, standardize, and govern an organization's critical data. It allows companies to gain control over their data and turn chaos into order. In this article, we will explore the power of master data management, and how it can help organizations to improve efficiency, drive growth, and make better decisions. We will also discuss the key components of an effective MDM strategy and the tools and technologies used to implement it.
Major Depression in Temporal Lobe Epilepsy with Hippocampal Sclerosis: About A Case
Authors: Tbatou L. , Stati S. , Belbachir B. , Ouanas A.
Published: February 2023

Hippocampal sclerosis is one of the most common pathologies of medically incurable temporal lobe epilepsy. Its diagnosis can be evoked on the scanner and the MRI. Its medical treatment is generally insufficient with recourse to surgical treatment to improve the clinic and the prognosis of patients with epilepsy with hippocampal sclerosis. Significant hippocampal volume loss has also been seen in patients with chronic depression. The comorbidity between these two medical conditions justifies scientific research to better understand the role of the hippocampus in these two diseases. We report the case of a patient admitted to the psychiatric consultation for management of a behavioral disorder, pseudoepileptic conversive crisis, a cerebral MRI was performed urgently and the diagnosis of hippocampal sclerosis was made. Through this observation and a review of the literature, we discuss the characteristics of this rare condition, in particular the psychiatric comorbidity.
Von Hippel-Lindau Disease: Case Report of a Rare Condition
Authors: Apolo Md. Paúl Aldaz , Fernández Md. Jimena Molina , Uvillus Md. Liliana , Mejía Md. Dania Cisneros , López Md. Jenniffer Núñez , Yanez Md. Carina Contreras , Verdezoto Md. Gabriela Ortiz , Chilui Md. Lorena
Published: February 2023

Introduction: Von Hippel-Lindau disease (VHL) also known as familial cerebello-retinal angiomatosis is an inherited disease caused by mutation of a gene, characterized by a variety of benign and malignant tumors in different parts of the body [1]. VHL disease is classified as: type 1 which is presented as hemangioblastoma at the level of the central nervous system (CNS), renal cancer and type 2, which is subdivided into A characterized by (retinal angioma, CNS hemangioma, renal cancer), B characterized by (hemangioblastoma, renal cancer, pheochromocytoma) and C characterized by isolated pheochromocytoma [2]. Clinical Case: A 32-year-old female patient of Jehovah's Witness religion with a clear family history of Von Hippel-Lindau disease, who at 28 years of age was admitted to the Neurosurgery Department with a severe headache; therefore, a basic cranial CT was performed with evidence of an infratentorial lesion in the left cerebellar hemisphere causing obstructive hydrocephalus due to compression of the fourth ventricle. It is complemented with brain MRI when there is evidence of an image compatible with hemangioblastoma that exerts mass effect. Through the Nephrology Service, renal ultrasound shows a non-vascularized mass; therefore, simple and contrast CT urogram is requested to rule out malignancy, nephroprotective scheme is placed to prevent CIN, Merhan Score of 2, low risk of 7.5%. In simple and contrast CT urogram, the findings described suggest left renal neoplasm, to be correlated with histopathological study, BOSNIAK type I renal cysts, right ovarian cyst. Conclusions: The treatment of Von Hippel-Lindau disease, due to all its clinical manifestations, is a challenge that should be approached in a multidisciplinary manner. Early detection of tumors means a more effective early management, also alerts family trees with high risk of suffering it.
Management of Pregnancy in a Patient with History of Sigmoid colostomy and Anal Sphincteroplasty: A Case Report
Authors: Mathur Dr. Ankita , Borah Dr. Dulumoni , Phulpagar Dr. Aditi , Gaurav Dr. Shubhanshu , Moruskar Dr. Aditya , Keluskar Dr. Chandraja
Published: February 2023

Anorectal malformations (ARM) are congenital anomalies that affect the development of the anus and rectum, and they can lead to significant medical and surgical challenges throughout a person's life. For women with ARM, pregnancy can present with additional complications. In this article, we present a case report of a pregnant patient with history of ARM who has undergone sigmoid colostomy and anal sphincter reconstruction. Through this case study, we aim to provide insight into the unique challenges faced by pregnant patients with colostomy and anal sphincteroplasty, their impact on pregnancy and labor, as well as the importance of close monitoring and collaboration between obstetric and surgical.
Obstetric Sanitary Evacuations: Epidemoilogical Profile and Pronognostic at the Reference Health Center of the District of Bamako
Authors: Hamidou Dr. Albachar , Dembélé Sitapha , Sissoko Hamady , Sylla Cheickna , Camara Wally , Amara Sanogo Siaka
Published: February 2023

Introduction: Medical evacuation in general is characterized by the need for the rapid transfer of a patient from one medical centre to another more equipped or better specialized. Obstetric emergencies are multiple causes of maternal and neonatal death. Purpose: Was to study the reasons for reference / medical evacuation obstetrical at the Reference Health Center of Commune V of the District of Bamako. Materials and Methods: This was a descriptive study with a retrospective collection from January 1, 2017 to December 31, 2020. Results: We collected 4280 referrals/evacuations out of 28974 admissions; or 14.8% of admissions. The median age was 26.17 years. Housewives accounted for 45.4%. Dystocia was the main reason for references/evacuations with 41.1%. The reasons for referral/evacuation were consistent in 60.3% of cases. These evacuations were relevantin 21.8%. Maternal mortality was 0.8%. Conclusion: Evacuations accounted for 14.8% (4280) of deliveries. The most commonly cited reasons were dystocia, antepartum haemorrhage and high blood pressure and its complications. Dystocia, fetal asphyxia and high blood pressure and its complications were the main diagnoses.
Converting Combustion Engines to Electric Cars: Requirement, Perception, and Viability in Under-Developed Countries
Authors: Shrivastava Hritvik
Published: February 2023

Despite barely being a novel concept, EVs have been rising in popularity because of the development of the technology and infrastructure required to support EVs on a large scale, a growing concern for the climate, and a fight to lower carbon emissions. Even though the demand for EVs rising every year, there have been a few major roadblocks that are affecting the growth and development of EVs in developing countries and households with lower incomes, specifically the high initial cost of building the infrastructure of EVs, EVs being more expensive than regular Internal Combustion Engine cars, and a skeptical consumer market. However, making conversions of ICEs into EVs or Plug-in Hybrid EVs (PHEVs) might circumvent many of these issues, including combating the problem of replacing every single ICE with a brand-new EV in the span of a few decades. This paper discusses the cost, efficiency, and public perception of converting ICEs to EVs and what a viable business model can look like while paying particular attention to customer needs and public perception.
Exploring the Legal and Policy Implications of Non-Fungible Tokens
Authors: Multazam Mochammad Tanzil
Published: February 2023

Legal and policy issues surround NFTs. This study examines NFT legal and policy issues and their effects on the digital economy. This study showed that NFTs could revolutionize digital asset ownership, but they also raise questions about intellectual property, privacy, and taxes. As NFT ownership evolves, buyers and sellers must understand their legal rights and obligations and avoid infringing on others' intellectual property rights. NFTs with photos or other personal data raise privacy concerns. To avoid privacy violations, buyers and sellers should consider NFT privacy implications. NFTs may be used for money laundering or terrorism. Regulators and law enforcement closely monitor NFT transactions to prevent misuse. Policymakers, regulators, and industry participants trying to establish a clear and effective legal framework that protects all parties should consider this study. These legal and policy issues must be addressed as NFTs gain popularity to maximize their potential. NFTs are legally and politically complex. This study emphasizes the need for ongoing research and stakeholder collaboration to responsibly and legally use NFTs and realize the digital economy's transformative potential.
URBANIZATION IN INDIA: AN OVERVIEW OF TRENDS, CAUSES, AND CHALLENGES
Authors: Chandaneshwari Punyamurthy  , Ram Shepherd Bheenaveni
Published: February 2023

India has seen increasing urbanization in recent decades, with the nation’s urban population expected to reach 600 million by 2031. This paper outlines the trends, causses, challenges and implications of urbanization in India and investigates the factors that fueled for expansion of urban sprawl, and its subsequent social, economic, and environmental consequences. Rural-urban migration has been one of the key motivations, driven by a desire for greater economic prospects, social mobility, and higher living conditions. Natural population increase in towns and cities has also contributed significantly to urbanization. The expansion of the service sector as well as the emergence of industrial businesses have lured and drawn people to cities in large number. On the positive side, urbanization has boosted economic growth, raised living standards, and expanded access to essential services. On the negative side, urbanization has resulted in a number of issues such as slum expansion, traffic congestion, pollution, and inadequate infrastructure. India’s urbanization has offered mixed results containing both opportunities and treats. As it is inevitable process, it briefly suggests a few policy recommendation from urban sociology point of view.
KEYWORDS: Urbanization, Population Dynamics, Urban Sociology, Causes of Urbanization, Cities in India
Ethnobotanical and Phytochemical Study of members of Cucurbitaceae from Ralegaon Region-A Review
Authors: - Deshmukh N.M. , - Samarth V.D. , - Kumre R.N.
Published: February 2023

The plant species belonging to Cucurbitaceae family have a worldwide distribution, but most species can be found in tropical and subtropical countries. A number of the plants belonging to this family have reported important and biological pharmacological activities. Cucurbitaceae member plants are also in use in the folk medicinal system of India. The members of the Cucurbitaceae are annual or perennial herbaceous plants having climbing habit with characteristic tendrils. Plants of this family have many medicinal and nutritional benefits. Therefore, it is important to find out the Ethnobotanical uses in rural region of Ralegaon area and containing active agents possessing pharmacological activity in plants. In this study, we have documented some of the important plants viz., Citrullus lanatus, Lagenaria siceraria, Bryonia lacinosa, Cucumis sativa, Coccinia grandis, Cucurbita pepo, Momordica dioica, Momordica charantia, Cucumis callosus, and Luffa acutangular located in Ralegaon region.
Glimpses of Five World Famous Elegies in English Literature
Authors: - Dhiraj Vilasrao Nimsatkar
Published: February 2023

Literature is consists of various genres of written works by genius minds of the world, which includes poetry, prose, drama, short stories, fiction and essays. Every genre is famous for its specific characteristics. Poetry is one of the most considerable genre of literature. Poetry is divided into various forms like lyric, ballad, ode, sonnet, epic, satire, and elegy. The elegy began as an ancient Greek metrical form and is traditionally written in response to the death of the person or group. Though similar in function, the elegy is distinct from the epitaph, ode, and eulogy. An elegy is a poem that reflects upon death or loss traditionally it contains themes of mourning loss and reflection however it can also explore themes of redemption and consolation. The word elegy originated from the Greek word "elegeia" which means to lament or to be sorrowful. In short the elegy is a lament, a lyric of mourning or an utterance of personal bereavement and sorrow and therefore it should be characterized by absolute sincerity of emotion and expression.
The Horror of Human Error and Potential Creativity as Appeared in Fahrenheit 451
Authors: - Dinesh A. Gundawar
Published: February 2023

Evoking the interference of the human sanctity, it is finely portrayed that performance of human ethnography has strictly witnessed the millennium horror that is still continued and deformed the entire human world. Perhaps, this is known as the error of human potentials which has poignantly disturbed the human creativity and enticed social life pathways. The presidential understanding of the human path breaking potential differently ventured to portrait every imitating display of human acts and none has resolved but instead of that raised new questions that led the entire humanity towards the seclusion just because of the fear of nothingness. Thus, this paper tries to evaluate the horror of human error and the potentials of creativity as appeared in Ray Bradbury"s Fahrenheit 451.
RENEWABLE ENERGY: THE PARADIGM SHIFT - ENERGY, DEVELOPMENT AND CLIMATE CHANGE, KENYA – SOUTH AFRICA CONTEXT
Authors: A. Mumbo , C. Bess , F. Mutua
Published: February 2023

Energy resources, and in particular energy services are intimately linked to a nation’s economic growth, development and a sustainable future. Challenges such as access to quality education, healthcare, and housing; and energy shortfalls have hindered development activities of developing countries. Over the last decades, renewable energy coupled with energy efficiency have become cornerstones of clean energy strategies. In this study, energy systems currently used in Africa are reviewed with a focus on renewable energy as the means to boost development, as well as the key to a net-zero carbon economy, which is needed to mitigate the negative environmental impacts caused by climate change. Economically advanced countries in Africa project 100% grid connectivity to their population by 2035 through dedication of huge resources to power generation primarily using fossil fuels. This will however result in progressively high CO2 emissions at generation stage. Data projection between 2014 and 2040 shows such countries having the highest but progressively reducing index from coal use for power generation.  Oil and gas indices are significantly lower in comparison to coal, the lowest being gas. If instead of fossil fuel, harnessing of renewable energy sources is explored, the challenge of CO2 emission reduction could be addressed. Though the initial capital investment for solar power generation is relatively high, the operating costs are substantially lower compared to conventional energy sources. Adoption of renewable technology has huge potential to positively steer development and economic engagement and reduce carbon emissions in developing countries.
Analysis of Purity and Concentration of DNA Isolation Results on Chondroitin Samples
Authors: Utaminingsih Sri , Sophian Alfi
Published: February 2023

Analysis of purity and concentration of isolated DNA is a way to see the quality of isolated DNA. This research was conducted as an initial stage to give. Information about research conducted in future research. The purpose of this research is to provide references and information regarding DNA isolation techniques in chondroitin samples, so that they can be used in similar studies. The sample consisted of a sample of chondroitin which was weighed 50 mg and tested 10 times. The isolation method used in this study is the centrifuge column isolation method, while the purity and concentration analysis were analyzed using a nano photometer which was read at a wavelength of A260/A280. The value shown from the nano photometer was then analyzed statistically using the average test to determine the interpretation of the results from the data obtained. The results of DNA isolation obtained that the DNA concentration values ​​tested were in the range of 39.10 - 54.70 with an average concentration value of 45.15. The value of the purity of the isolated DNA tested was in the range of 2.16 – 2.28 with an average purity value of 2.22. Based on the results of the DNA confirmation test of the isolation carried out using real-time PCR, it showed that the isolated sample was amplified at a value of Ct 36.43 while the positive control was amplified at Ct 32.49. Based on the research results, it was found that all samples tested showed good average values ​​of DNA concentration and purity so that the results of the DNA isolation tested could be used as templates in real-time PCR analysis.
Machine learning as a new tool in neurological disease prevention, diagnosis, and treatment
Authors: Volonté Cinzia
Published: February 2023

More than 600 different neurological diseases affect the human population. Some of these are genetic and can emerge even before birth, and some are caused by defects, infections, trauma, degeneration, inflammation, and cancer. However, they all share disabilities caused by damage to the nervous system. In the last decades, the burden of almost all neurological disorders has increased in terms of absolute incidence, prevalence, and mortality, largely due to the population’s growth and aging. This represents a dangerous trend and should become our priority for the future. But what new goals are we going to set and reach now, and how will we exploit thought-provoking technological skills for making these goals feasible? Machine learning can be at the root of the problem. Indeed, most recently, there has been a push towards medical data analysis by machine learning, and a great improvement in the training capabilities particularly of artificial deep neural networks (DNNs) inspired by the biological neural networks characterizing the human brain. This has generated competitive results for applications such as biomolecular target and protein structure prediction, structure-based rational drug design, and repurposing, all exerting a major impact on neuroscience and human well-being. By approaching early risks for diseases, non-invasive diagnosis, personalized treatment assessment, drug discovery, and automated science, the machine learning arena has thus the potential of becoming the new frontier for empowering neuroscience research and clinical practice in the years ahead.
A primer on cancer-associated fibroblast mechanics and immunosuppressive ability
Authors: Talayero Vanessa C. , Vicente-Manzanares Miguel
Published: February 2023

Cancer-associated fibroblasts (CAFs) are a major point of interest in modern oncology. Their interest resides in their ability to favor tumor growth without carrying genetic mutations. From a translational standpoint, they are potential therapeutic targets, particularly for hard-to-treat solid cancers. CAFs can be defined as non-tumor cells within the tumor microenvironment that have the morphological traits of fibroblasts, are negative for lineage-specific markers (e.g., leukocyte, endothelium), and enhance tumor progression in a multi-pronged manner. Two often-mentioned aspects of CAF biology are their ability to alter the mechanics and architecture of the tumor microenvironment, and also to drive local immunosuppression. These two aspects are the specific focus of this work, which also contains a brief summary of novel therapeutic interventions under study to normalize or eliminate CAFs from the tumor microenvironment.
Analytic Computational Method for Solving Fractional Nonlinear Equations in Magneto-Acoustic Waves
Authors: Saadeh Rania
Published: February 2023

In this article, we employ a useful and intriguing method known as the ARA-homotopy transform approach to explore the fifth-order Korteweg-de Vries equations that are nonlinear and time-fractional. The study of capillary gravity water waves, magneto-sound propagation in plasma, and the motion of long waves under the effect of gravity in shallow water have all been influenced by Korteweg-de Vries equations. We discuss three instances of the fifth-order time-fractional Korteweg-de Vries equations to demonstrate the efficacy and applicability of the proposed method. Utilizing, also known as the auxiliary parameter or convergence control parameter, the ARA-homotopy transform technique which is a combination between ARA transform and the homotopy analysis method, allows us to modify the convergence range of the series solution. The obtained results show that the proposed method is very gratifying and examines the complex nonlinear challenges that arise in science and innovation.
HIGHER EDUCATION INNOVATICS: THE ROLE OF INNOVATIVE ENVIRONMENT IN TRANSFORMATION OF THE SPHERE OF HIGHER EDUCATION AND SCIENCE
Authors: Romanovskyi Oleksandr O. , Romanovska Yuliia Yu. , Romanovska Oleksandra O. , El Makhdi Mokhamed
Published: February 2023

Innovative transformations in the field of higher education and science, as a rule, take place within the framework of an innovation policy determined by the leaders of this field. It should be noted that innovation policy in the field of higher education is the link between the policy of research and scientific (scientific and technical) activities, the search and dissemination of knowledge, education and training of qualified specialists in the field of technological development, industrial policy, and environmental policy.

Innovation policy in the field of higher education and science is one of the main components of the state socio-economic policy of social development and is aimed at creating favorable conditions for bringing new ideas created in this area to the market.

The article is devoted to the further development of the theoretical foundations of innovation in higher education. The main issues of the organizational theory of innovation in higher education are considered; national and international components of innovation in the field of higher education and science, as an open educational, scientific and cultural system; orientation and influence of innovation processes in the field of higher education and science on objects and subjects of innovative transformations; the most important tasks of the state in the management of innovative activities in the field of higher education and science; activities promoted by innovators in higher education; innovative environment.

The main directions of the innovative policy of the entrepreneurial university and innovative relations in the field of higher education and science are studied.

The problems of compulsory or emergency distance learning are also analyzed.
ELECTRIC CARS MARKET DEVELOPMENT IN JORDAN AND UKRAINE (COMPARATIVE ANALYSIS OF UKRAINIAN AND JORDANIAN EXPERIENCES)
Authors: Shalamai Olha A.
Published: February 2023

This work is devoted to a comparative analysis of the electric cars market development in the Hashemite Kingdom of Jordan and Ukraine. The work gives the concept of advantages and disadvantages of electric cars. The main goal of the work is to study the socio-economic aspects of using electric vehicles in Jordan and to determine what experience Ukraine can gain from Jordan to optimize the electric cars market development.
EVALUATION OF THE INTERNATIONAL TOURISM IMPACT ON THE ECONOMY
Authors: Olaosebikan Opeyemi Lawrence , Amalyan Nataly
Published: February 2023

The tourism industry has become a major driving force for economies and employment generation for many countries all over the world. Evaluation of the impact of this force became the subject of research of numerous academic papers, the authors of which suggest their own set of factors to be taken into account while calculating tourism multiplier. The aim of this paper is to substantiate the necessity of extension of number of factors by including the regime of exchange rate. Such extension, besides clarification of calculations, should provide governments of hosting countries with additional economic tools.
Current state and perspectives of business mediation development in Ukraine
Authors: Novosiolov Yaroslav , Zharova Liubov
Published: February 2023

Recently, the mediation institution has become of great importance in developing Ukraine's legal dispute resolution culture. Under current conditions, Ukrainian society needs mediation in almost all legal relations. The establishment of several public organizations that distribute mediation in Ukraine is evidence of that. Today, society needs new, progressive, out-of-court dispute resolution methods between businesses, with minimal time and cost. There is currently a lack of adequate forms of conciliation in Ukraine, leading to overburdening court. Litigation is becoming a costly "red tape," as many cases are sometimes deliberately delayed. Highly qualified lawyers are generally unavailable to the vast majority of the citizens.

One of the measures of decentralization that provided an opportunity to narrow the sphere of state influence on society and replace it - is the introduction of mediation as an alternative dispute resolution, particularly in business. In addition, the proliferation of mediation will help to reduce corruption in the judiciary, as the citizens and legal entities will be more likely to use out-of-court dispute resolution.

In Ukraine, the introduction of the mediation institution, particularly as a method of business conflicts and dispute resolution, is at the initial stage, including the formation of organizational and legal conditions and the establishment of the system of mediation application in society.
How Are Guests Satisfied?
Authors: Athanasopoulou Pinelopi , N. Giovanis Apostolos , Ioakimidis Marilou
Published: February 2023

Online reviews provide a wealth of information on how customers assess the different attributes of a service. Research shows that the performance of hotel service attributes is expected to have asymmetric effects on customer satisfaction. The purpose of this study is to analyze online reviews and determine whether different hotel service attributes have asymmetric or symmetric effects on hotel customer satisfaction and how these effects differ for different customer segments. Positive and negative comments on hotels are analyzed using the three-factor theory and penalty-reward contrast analysis. Results show that the most important service attributes for customer satisfaction and dissatisfaction (hybrids) are location/access and personnel quality. All other attributes are either frustrators (cleanliness, process quality, perceived value) or dissatisfiers (installation quality, room quality, food quality). However, when the sample is split into business (solo and groups) and leisure (solo, groups, families, couples) results differ by customer segment. Results show that there should be a customized approach to managing customer satisfaction based on online reviews where service attributes are prioritized differently according to their importance for the satisfaction of different customer segments.
Tourism and FDI-Growth Nexus in Upper-Middle Income Countries
Authors: Soylu Özgür Bayram , Adeleye Bosede Ngozi , Okur Fatih , Emikönel Murat
Published: February 2023

This paper examines the role of tourism in foreign direct investment-growth relation in upper-middle income countries. We deploy static and dynamic panel analysis to evaluate how tourism indicators influence the impact of FDI net inflows on growth using an unbalanced panel data on 29 upper middle-income countries from 2010-2019. The tourism indicators are receipts, arrivals and expenditures. The results from static and dynamic analyses indicate that for the most part (1) FDI and tourism exert asymmetric effects on growth, (2) tourism indicators reduce the negative effect of FDI on growth, (4) trade openness is a positive and significant predictor of growth, and (5) domestic credit negatively contributes to growth. Deductively, results evidence that tourism indicators are critical drivers of economic growth in upper middle-income countries. Overall, tourism receipts show the largest influence on FDI to spur the most appreciable impact on growth. Despite this, the fact that tourism indicators cannot completely eliminate the destructive impact of FDI on economic growth shows that tourism development policies should be based on a greener and sustainable ground, taking into account the effects of the coronavirus.
Environmental Attitude, Motivation and Place Attachment in a Wildlife Park
Authors: Ajayi Omolola Oluwakemi , Tichaawa Tembi Maloney
Published: February 2023

Despite the significance of motivation in understanding the behaviour of tourists, its interconnectedness to environmental attitude and place attachment has been scarcely studied in nature-based tourism destinations, especially outside the western and Anglo western context. This study examined these constructs as individual variables as well as the inter-relationships that exist between them in the context of a wildlife park. Using a convenience sampling technique, 372 visitors were surveyed. It was revealed that visitors displayed more anthropocentric beliefs than ecologically favourable concerns. Their motivations centred on experiencing and appreciating nature, recreation, relaxation and education which are some of the core goals of the establishment of such areas as wildlife parks. The levels of attachment to the destination were however mild. The results further revealed significant associations between the constructs. The partial mediating role of motivation in the relationship between environmental attitude and place attachment was also reported. Appropriate conclusions were drawn and managerial implications were discussed.