bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Systematic Literature Review: Determinants of Sustainability Competitive Advantage
Authors: Satar Abdul 
Published: April 2023

Abstract
This study aims to find out how the development of research related to sustainability competitive advantage that has been carried out so far and to find research research gaps that can be used in the future related to the field of sustainability competitive advantage.This research is expected to provide information in the form of factors that can influence Sustainability Competitive Advantage using the systematic literature review method and with the help of VOSViewer and Bibliometrics software. From the data obtained, research on the topic of Sustainability Competitive Advantage tends to experience significant growth in its publications. The determinant factors of Sustainable Competitive Advantage, namely Sustainability, Sustainable Development, Competition, Innovation, and Competitive Advantage, are expected to be examined in further research.
A Novel Honey Badger Algorithm with Multilayer Perceptron for Forecasting COVID-19 Time Series Data
Authors: Qasem Sultan Noman 
Published: April 2023

Abstract
The COVID-19 pandemic was affected the health, economy, and all aspects of human lives around the world. Accurate prediction of the new daily cases of COVID-19 is critical for precise programming and needed measures to prevent the outbreak of it. Hence, in the present paper, we implement a new hybrid intelligent model, namely the artificial neural network (ANN) hybridized with the Honey Badger Algorithm (HBA-ANN) for accurately daily new cases COVID-19 prediction in Brazil, India, Russia, and the USA. The performance of the hybrid model was compared with the stand-alone ANN and Gene Expression Programming (GEP) model using statistical (R2, RMSE, SI, and NSE) and graphical (Taylor and scatter diagrams and box plot) criteria. Results showed that the HBA-ANN model with the high value of R2, law value of RMSE, and the least distance from actual values outperformed the ANN and GEP models in each country. Hence, it is recommended to implement the HBA algorithm to increase the prediction accuracy of the models in medicine field.
Design and Dynamical behavior of a fourth order family of iterative methods for solving nonlinear equations
Authors: Cordero Alicia , Ledesma Arleen , Maimó Javier G. , Torregrosa Juan R. 
Published: April 2023

Abstract
In this paper, we propose a weight function to construct a fourth order family of iterative schemes for solving nonlinear equations. This class is parameter-dependent and its numerical performance depends on the value of this free parameter. We analyze the rational function resulting from the fixed point operator applied to a nonlinear polynomial. The dynamics of this rational function allows us to better understand the performance of the iterative methods of the class. In addition, we calculate the critical points and present the parameter spaces dynamical planes, in order to determine the regions with stable and unstable behavior. Finally, parameter values within and outside the stability region are chosen and, with them, numerical tests that confirm the scheme's theoretical convergence and stability are performed, as well as comparisons with other existing methods of the same order of convergence.
Monitoring and Removal of Fake Product Review Using Machine Learning (Ml)
Authors: Bhattacharya Swarnajit 
Published: April 2023

Abstract
The employment of Natural Language Processing (NLP) as a means for identifying and eliminating counterfeit products from a dataset is a significant endeavor. The current project employs a Machine Learning (ML) Algorithm to discern fraudulent customer reviews within a given dataset. The algorithm leverages predictive modeling techniques to estimate the authenticity of such reviews, and subsequently assess their validity. The prominence of product reviews as a critical determinant of consumer purchasing behavior in the realm of electronic commerce has led to a concerning escalation in the frequency of counterfeit reviews on websites and applications. It is imperative for the prominent E-commerce firms to confront the issue of counterfeit product reviews, prior to engaging in the procurement of commodities from established entities. The utilization of this particular approach facilitates the rectification process concerning counterfeit product evaluations, thereby eliminating the prevalence of spammers. This proactive measure works to ensure that there is no potential compromise of trust among users of E-commerce platforms. Through implementation of this initiative, the enterprise's administration can identify spurious evaluations and subsequently implement appropriate measures directed towards their resolution. The present model has been constructed employing the Naïve Bayes Algorithmic approach. By implementing the algorithm, it is possible to discern spam reviews from those that are legitimate, on websites or applications. To tally the individuals who engage in fraudulent online practices, a dataset is necessary. In our study, the "Amazon Academic Dataset" serves as the fitting reference point to prepare the model and can potentially increase the precision and adaptability of the results.
Proposition of a methodology for the evaluation of adhesiveness (pull-off test) of aggregate-geopolymer binder interfaces
Authors: PENAGOS Jonathan , DE SOUZA Madson , HOLANDA Ligia , ARAÚJO Lucas , BABADOPULOS Lucas , BASTOS Juceline 
Published: April 2023

Abstract
Portland cement concrete is the most used material in civil construction, but it is a source for emissions of greenhouse gases. In addition, its Interfacial Transition Zone (ITZ) is a point of weakness, which limits its performance and application, generating pathological manifestations throughout its service life, decreasing mechanical and durability properties. In this context, geopolymer concretes, which are a sustainable building material with a much reduced and dense ITZ when compared to ordinary cement Portland materials, arise. However, there is a lack of methodology to evaluate the aggregate-geopolymer interface and objectively evaluate compatibility between such new binder and aggregate particles. In other materials, adhesion tests are performed to obtain parameters related to adhesiveness. Provided that context, this work aims to propose a methodology to evaluate the adhesiveness of aggregates and geopolymer binders. For this, a pull-off test based on AASHTO TP 361 (2022) is proposed, with particular adaptation in specimens preparation. The proposed changes such as: the application of the binder and the use of epoxy glue aimed to guarantee the bonding of pull-off elements (dollies) to a geopolymer binder film adhered to the aggregate and to make the test and its results possible for evaluations. For validation, it was performed for an interface a geopolymer binder based on fly ash and steel slag glued onto two granitic rocks (biotite). For the test according to AASHTO TP 361 (2022), the adhesion between the geopolymer binder and the equipment proved to be insufficient. Then, with the adapted methodology the results were more consistent, in which the specimens showed suitable adhesion for the test. This contributes to an empirical characterization of adhesiveness for these materials, enabling adequate analyses regarding the durability, in order to avoid future pathologies resulting from a weak ITZ and evaluations without huge costs in time and resources.
Application of VR eye movement cognitive assessment in the early screening of cognitive impairment
Authors: Yuan Qing , Zhang Xu , Xu Ying , Zhang Chi , Pan Baobao 
Published: April 2023

Abstract
Background: Dementia is a rapid growing global health challenge, and early screening in the preclinical stage is necessary. Mild cognitive impairment (MCI) is considered a transitional stage preceding dementia, and current diagnostic markers for AD are limited by cost and invasiveness. Neuropsychological tests (such as MMSE, MoCA) are valid but neither simple nor efficient enough to serve as large-scale dementia screening tools. Eye-tracking data can be encoded as cognitive activity and states, which provides quantitative and multi-dimensional attributes of cognitive function. Its application to cognitive assessment has shown promise in identifying patients with MCI or dementia. Immersive environments of virtual reality technology guarantee the integrity of eye-tracking data and the portability of VR headset enables efficient large-scale early screening of cognitive impairment in communities.
Objective: Develop a 5-minute dementia screening tool — VR Eye Movement Cognitive Assessment to help physicians detect cognitive impairment as an alternative approach of traditional paper-based instruments.
Methods: 201 subjects from Shenzhen Baoan Chronic Hospital were administered MoCA and VR eye movement cognitive assessments. Raw gaze data was captured by eye tracker of the VR headset and filtered as eye movements which would be encoded as features. Machine learning models were established as the predictor of MoCA score and the classifier of cognitive impairment of three education-based groups within which optimal cut-off score was given.
Results: Support vector regression was proposed as the VR-AI model and achieved high correlation of 0.9 with MoCA score, greater than baseline model of 0.58. Optimal cut-off scores (less than 6 years of education: 14/15; 6 to 9 years of education: 18/19; more than 9 years of education: 23/24) can well distinguish normal and cognitively impaired subjects — with overall sensitivity of 88.5% and specificity of 83%.
Conclusion: VR eye movement cognitive assessment is a portable, efficient, and quantitative dementia screening tool, which can be used for early screening of mild cognitive impairment and dementia.
Treatment of chronic migraine and insomnia with cognitive behavioral therapy
Authors: Golovacheva V. A. 
Published: April 2023

Introduction. Chronic migraine (CM) is a neurological disease which is often comorbid with chronic insomnia (CI). The interdisciplinary approach including the cognitive behavioural therapy (CBT) is recommended for the treatment of patients with CM and comorbid CI.Aim. To evaluate the effectiveness of the interdisciplinary treatment program including CBT in the treatment of patients with CM and CI. Materials and methods. A total of 54 patients with CM and CI (19 men and 35 women, mean age 34.1 ± 8.5 years), were enrolled in the study. The clinical and psychological characteristics were assessed before and after treatment (at Month 3, 6, 12) using interviewing, testing, headache and sleep diaries. All patients received the interdisciplinary treatment, including pharmacotherapy, discontinuation of pain medications in the presence of drug-induced headache (DIHA), CBT for headache and insomnia.Results. Three months after treatment, there was a statistically significant decrease in mean scores for headache frequency, pain drugs dosing interval, insomnia severity index, as well as according to the Spielberger Khanin's Reactive and Personal Anxiety Scale, Beck Depression Scale, Impact of Migraine on Daily Activities Scale (p < 0.05). The achieved improvements were maintained at Months 6 and 12 of the follow-up period. At Month 3, 35 (65%) patients achieved a clinical effect in the treatment of CM: the frequency of headache decreased by 50% or more, 41 (76%) patients achieved a clinical effect in the treatment of CI: the insomnia severity index decreased by 8 scores and more. At Month 6, 42 (77.8%) patients had a clinical effect in CM therapy, and 44 (81.5%) patients in CI therapy. The achieved clinical effects have been shown to be maintained by Month 12 of the follow-up period.Conclusion. The interdisciplinary program including CBT is effective in the treatment of patients with CM and CI over the shortand long-term horizon.
Sümerbank Ereğli Pamuklu Dokuma Fabrikası (1934-1997)
Authors: SEMİZ Yaşar , TOPLU Güngör 
Published: April 2023

1929 Dünya İktisadi Buhranının etkilerinin dünyada olduğu gibi Türkiye’de de yaygınlaşması piyasa ekonomisine olan güveni sarsmış ve birçok ülkede devlet müdahaleciliğinin planlı bir şekilde yürütülmesi fikrini tartışmaya açmıştı. Türkiye’de 1929 Dünya İktisadi Buhranından sonra planlı ekonomiye geçen ülkelerden birisi olmuş ve bu çerçevede birçok fabrika kurmuştur. Sümerbank Ereğli Bez Fabrikası da Birinci Beş Yıllık Sanayi Planı çerçevesinde kurulması kararlaştırılarak 20 Ekim 1934’te temeli atılan fabrikalardan bir tanesidir. Fabrikanın diğer pamuklu dokuma fabrikalarına göre daha ince dokuma üretmesi öngörülmüştür. Plan ve projeleri Sümerbank Fen Heyeti tarafından hazırlanan fabrika bu yönüyle Türk mühendislerinin bir eseri olma özelliğini de taşımaktadır. Kazan ve elektrik tesisatı dışındaki tüm makine aksamı Almanya’dan temin edilerek monte edilmiştir. İnşaat ve montaj işleri 1936 yaz sonuna doğru bitmiş, deneme çalışmalarının ardından 4 Nisan 1937’de açılışı yapılarak üretime başlamıştır. Fabrika, diğer Kamu İktisadi Teşekkülleri gibi en parlak dönemini 1950’li yıllarda yaşamıştır. 1987 yılında özelleştirme kapsamına alınmış 1997 yılında da Albayrak Tekstil tarafından satın alınarak adı Albayrak Tekstil olarak değiştirilmiştir.
Sümerbank Ereğli Pamuklu Dokuma Fabrikası, ilçenin nüfusunun artması ve şehrin gelişiminde önemli rol oynamıştır. Fabrika, sosyal tesisleri, okulu ve lojmanları ile çevresi için sosyal ve kültürel değişimin öncülüğünü yapmıştır. Memur ve işçi konutlarının içindeki yeşil alanlar ise, Ereğli ve çevresi için önemli bir kentsel peyzaj örneği olmuştur. Yapılış amacı, ekonomik ve sosyal işlevi, Türkiye Cumhuriyeti'nin ulus- devlet oluşturma çabalarıyla doğrudan ilgilidir. Bundan dolayı tesis, sadece Ereğli merkezli değil, o dönemde oluşturulmaya çalışılan modern Türkiye hakkında genel bilgi vermesi bakımından da önem taşımaktadır.
Determinants of households' flood risk coping strategies in a high exposure system of the Manafwa catchment and Lake Kyoga Basin
Authors: Erima Godwin , Egeru Anthony , Gidudu Anthony , Bamutaze Yazidhi , Kabenge Isa , Asiimwe Robert 
Published: April 2023

Abstract

The impact of floods on households in Uganda is becoming increasingly severe. It is often assumed that people who reside in a riverine area have adapted to flood pulses. However, in most cases, household-level risk reduction strategies are inadequate for ensuring a livelihood resilient to floods. The objective of this study was to investigate the determinants of households' decisions on coping strategies in the Manafwa catchment, Eastern Uganda. The study was based on a field survey of 210 households supplemented with focused group discussions (6) and key informant interviews (4) conducted in the Butaleja district in March 2019. The study used the protection motivation theory framework and applied the multivariate probit model. The most common short-term coping strategy was building temporary embankments (37%), whereas afforestation (44%) was the most common long-term solution deployed. The determinants that consistently and significantly influenced the choice of coping strategies adopted were: family size, number of adult males in the family, location of the house within the floodplain and time of residence in the affected area (P &gt; 0.05). For policy purposes, this study recommends that the relevant stakeholder interventions should consider these determinants, in order to enhance the adaptive capacity of rural households to flooding.
Prague Water Net Zero Strategy 2025: methodology and roadmap
Authors: Srb Martin , Grešíková Markéta , Salová Nikola , Sýkora Petr , Štrupl Jiří , Xia Roman , Huml Ondřej , Prokop Pavel , Hájková Martina , Harasymchuk Ivanna , Kočí Vladimír , Beneš Ondřej 
Published: April 2023

Abstract
In 2019, Prague set out its Prague 2030 Climate Plan and Pražské vodovody a kanalizace, a.s., as the operator of drinking water supply and drainage facility in Prague and Pražská vodohospodářská společnost, a.s., responsible for infrastructure management (collectively known as Prague Water) are a natural part of the mitigation and adaptation activities. Both companies committed to reaching a net zero operational CO2 footprint in 2035. The carbon footprint of the company will be certified according to the ČSN ISO 14064-1 standard. The paper presents a roadmap of the early stage of the project, the calculation of the CO2 footprint and the ISO certification process together with planned mitigation activities. The main goal of the contribution is to share know-how about the application of carbon-wise management principles in a large utility company. This makes the paper useful for worldwide utilities at a similar stage of carbon footprint measurement and reduction.
Laparoscopic Removal of a Giant Gallstone in UAE: A Case Report
Authors: Alarnaout Sabah , Tabbal Mahmoud , Muhi Alwan Suha , Boddapati Ramakrishna , Iranpour Afshin 
Published: April 2023

Background:
Diseases of the gallbladder (GB) are a common occurrence, and gallstones are the most common biliary pathology. Lately, the incidence of gallstone disease has been on the rise in the United Arab Emirates (UAE).

Case-Report:
We present a case report of a 52 years old female who presented with severe upper abdominal pain. The clinical examination and ultrasound imaging were consistent with the calculus of the gallbladder with acute cholecystitis without obstruction. Laparoscopic cholecystectomy (LC) was performed to remove a gallstone of 6.8 cm in size. This was performed uneventfully.

Discussion:
The prevalence of gallstones ranges from 0.1% to 50.5 % worldwide. Gallstones more than 5 cm in diameter are not seen often. LC is quite challenging in such cases. This case report is being presented due to the limited availability of literature on the Laparoscopic removal of giant gallstones in the UAE.

Conclusion:
Our aim here is to convey that LC can be considered the first choice vis-a-vis open method even in giant gallstone cases in the presence of trained personnel and equipped settings. The epigastric port can be extended for extracting the gallbladder specimen. Open cholecystectomy is a safe method if clear delineation of anatomy is not possible.
A Review of Thyroid Dysfunction Due to COVID-19
Authors: Arefzadeh Alireza 
Published: April 2023

Abstract:
Coronavirus disease 2019 (COVID-19) affects thyroid function. These changes are due to
the direct impact of the virus on thyroid cells via angiotensin-converting–enzyme 2 (ACE2) receptors,
inflammatory reaction, apoptosis in thyroid follicular cells, suppression of hypothalamus-pituitarythyroid
axis, an increase in activity of adrenocortical axis, and excess cortisol release due to cytokine
storm of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Euthyroid sick syndrome
(ESS), thyroiditis, clinical and subclinical hypothyroidism, central hypothyroidism, exacerbation of
underlying autoimmune thyroid disease, and clinical and subclinical hyperthyroidism can be associated
with coronavirus. Adjuvants in coronavirus vaccines induce autoimmune/inflammatory syndrome
known as vaccine adjuvants (ASIA) syndrome. Thyroiditis and Graves’ disease have been reported to
be associated with ASIA syndrome after some coronavirus vaccinations. Some coronavirus medications,
such as hydroxychloroquine, monoclonal antibodies, lopinavir/ritonavir, remdesivir, naproxen,
anticoagulants, and glucocorticoids can also affect thyroid tests, and correct diagnosis of thyroid disorders
will be more difficult. Changes in thyroid tests may be one of the most important manifestations
of COVID-19. These changes can be confusing for clinicians and can lead to inappropriate diagnoses
and decisions. Prospective studies should be conducted in the future to increase epidemiological
and clinical data and optimize the management of thyroid dysfunctions in patients with COVID-19.
Melatonin and its Emerging Physiological Role in Reproduction:
A Review and Update
Authors: Shao Ruifeng , Wang Ying , He Chihua , Chen Ligang 
Published: April 2023

Abstract:
Melatonin is a neuroendocrine hormone secreted by the pineal gland. The
secretion of melatonin follows a circadian rhythm controlled by the suprachiasmatic
nucleus, and its secretion is synchronized with the changes in light and dark periods in
nature, with the highest secretion level at night. Melatonin is a critical hormone that
coordinates external light stimulation and cellular responses of the body. It transmits
information about the environmental light cycle, including the circadian and seasonal
rhythms, to the relevant tissues and organs in the body, which, along with changes in its
secretion level, ensures that its regulated functional activities are adapted in response to
changes in the outside environment. Melatonin takes beneficial actions mainly through
the interaction with specific membrane-bound receptors, termed MT1 and MT2.
Melatonin also acts as a scavenger of free radicals via non-receptor-mediated
mechanism. For more than half of acentury melatonin has been associated with
vertebrate reproduction, especially in the context of seasonal breeding. Though modern
humans show little remaining reproductive seasonality, the relationships between
melatonin and human reproduction continue to attract extensive attention. Melatonin
plays important roles in improving mitochondrial function, reducing the damage of free
radicals, inducing oocyte maturation, increasing fertilization rate and promoting
embryonic development, which improves the outcomes of in vitro fertilization and
embryo transfer. The present article reviews the progress that has been made in our
evolving understanding of the physiological role of melatonin in reproduction and its
potential clinical applications in reproductive medicine.
Emerging Treatment Approaches for COVID-19 Infection: A Critical
Review
Authors: Bharadwaj Alok , Kaur Rasanpreet , Gupta Saurabh 
Published: April 2023

Abstract:
In the present scenario, the SARS-CoV-2 virus has imposed enormous
damage on human survival and the global financial system. It has been estimated that
around 111 million people all around the world have been infected, and about 2.47
million people died due to this pandemic. The major symptoms were sneezing,
coughing, cold, difficulty breathing, pneumonia, and multi-organ failure associated 1with
SARS-CoV-2. Currently, two key problems, namely insufficient attempts to develop
drugs against SARSCoV-2 and the lack of any biological regulating process, are mostly
responsible for the havoc caused by this virus. Henceforth, developing a few novel drugs
is urgently required to cure this pandemic. It has been noticed that the pathogenesis of
COVID-19 is caused by two main events: infection and immune deficiency, that occur
during the pathological process. Antiviral medication can treat both the virus and the
host cells. Therefore, in the present review, the major approaches for the treatment have
been divided into "target virus" and "target host" groups. These two mechanisms
primarily rely on drug repositioning, novel approaches, and possible targets. Initially, we
discussed the traditional drugs per the physicians' recommendations. Moreover, such
therapeutics have no potential to fight against COVID-19. After that, detailed investigation
and analysis were conducted to find some novel vaccines and monoclonal
antibodies and conduct a few clinical trials to check their effectiveness against SARSCoV-
2 and mutant strains. Additionally, this study presents the most successful methods
for its treatment, including combinatorial therapy. Nanotechnology was studied to build
efficient nanocarriers to overcome the traditional constraints of antiviral and biological
therapies.