bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of the Molecular Interactions of Vaccine Adjuvants: Can a Strategic Trio of Toll-like Receptor Agonists Enhance Efficacy in a Multifaceted Approach?
Authors: Ozverel Cenk Serhan , Erdag Emine
Published: March 2024

Background:

The imperative need for effective vaccines against viral diseases has intensified research on adjuvants to enhance immune responses. Toll-like receptor (TLR) agonists, such as Imiquimod, Resiquimod, and CpG oligodeoxynucleotides (CpG ODN), are some crucial components in vaccine formulations. This study investigated the molecular interactions and binding affinities of TLR4, TLR7/8, and TLR9 agonists, throughin silicotechniques.

Methods:

The three-dimensional structure of human TLR9 was predicted using Iterative Threading ASSEmbly Refinement. Homology modeling was employed using a multi-step approach to generate the human TLR9 model including template identification,ab initiomodeling, iterative refinement, and final model generation of the crystallographic structure. Molecular docking and simulation studies were performed using AutoDock Vina, HDOCK, and GROningen MAchine for Chemical Simulations tools. The molecular docking study revealed binding sites and binding affinities of adjuvants in the binding regions of target TLRs. Molecular dynamics simulations and Molecular Mechanics/Poisson-Boltzmann Surface Area calculations ascertain the stability and binding energies of the TLR-adjuvant complexes.

Results:

Results indicate distinct interactions, with Resiquimod showing superior affinity toward TLR7. QS21, on the other hand, emerged as a potent TLR4 agonist, while CpG ODN 2006 binds specifically to TLR9. The study proposes a strategic combination of QS21, Resiquimod, and CpG ODN 2006 as a potential adjuvant system, offering a multifaceted approach to enhance vaccine efficacy.

Conclusions:

This study furnishes preliminary data and establishes the foundational framework for subsequent inquiries encompassing bothin vitroandin vivostudies concerning vaccine adjuvant systems.
Draft Genome Sequencing of Microcoleus sp. HI-ES Isolated from Freshwater in Iraq: Cyanobacterial Strain
Authors: Saeed Hiba Khaleel , Alsammak Essra Ghanim , Haddad Mohammed Fadhil
Published: March 2024

Background:

Cyanobacteria are a widely dominated group of microorganisms in nature that produce a diverse range of metabolites. Whilst the enormous number of bacterial genomes has deposited in the public databases, the number of cyanobacterial genomes remains limited.

Aims:

This study aimed to sequence the whole genome of an Iraqi cyanobacterium isolate, designed as Microcoleus sp. HI-ES.

Methods:

Microcoleus sp. HI-ES was isolated from a freshwater sample collected from the Mosul Dam lake. GB-11 liquid medium was used for primary isolation whereas agarose-GB-11 medium supplemented with lysozyme (100 µg/ml), imipenem (100 µg/ml), streptomycin (100 µg/ml), and cycloheximide (20 µg/ml) was used to obtain an axenic Microcoleus sp. HI-ES culture. Specialized bioinformatics tools were used for genome assembly, annotation, whole genome-based taxonomy analysis, in
silico whole genome DNA-DNA hybridization (isDDH), and biosynthetic gene clusters (BGCs) detection.

Results:

The results showed that Microcoleus sp. HI-ES genome consists of 4,671,230 bp with a GC content of 47.7% distributed within 6417 contigs and a total of 6264 coding sequences. The whole genome-based phylogeny and isDDH values showed that Microcoleus sp. HI-ES is closed to the type strains: Microcoleus
asticus IPMA8, Microcoleus vaginatus PCC 9802, M. vaginatus FGP-2, and Oscillatoria nigroviridis PCC 7112 with isDDH values of 61.7%, 59.8%, 59.8%, and 54.5%, respectively. Ten secondary metabolite BGCs were predicted in Microcoleus sp. HI-ES including four nonrobosomal peptides (NRPs) such as one NRPs, two resorcinol, two terpenes, and one T1PKS. The draft genome sequence of Microcoleus sp. HI-ES has been deposited at DDBJ/ENA/GenBank under the accession number JAPTMT000000000.

Conclusion:

The contribution of the depositing of the whole genome sequencing of Microcoleus sp. HI-ES, an Iraqi cyanobacterial strain, in public genbank databases will benefit the scientific community to understanding the potential of this cyanobacterial strain as a promising natural product producer.
The influence of internally architected voids in the creation of high-strength, low-weight 3D-printed cobalt-chromium prototypes
Authors: Mohammed Abdullah Jasim , Al-Ali Ahmed Asim
Published: March 2024

Background:

The additive manufacturing technology made the topology optimization technique feasible. This technique can indefinitely reduce the weight of the printed items with a promising increase in the mechanical properties of that item.

Materials and Methods:

In the current experimental study, 50 samples were fabricated for a 3-point bending test. They were divided into ( n = 5) as a control Group 1 free of internal geometries, ( n = 15) for each of Groups 2-4, and they were subdivided into ( n = 5) for each percentage of reduction per volume (10%, 15%, and 20%). Spherical, ovoid, and diamond shapes were each group's fundamental geometries, respectively. Cylindrical tunnels connected the voids in each group. Radiographic images were performed to validate the created geometries, the weight was measured, and flexural strength and modulus of elasticity were calculated. Data were analyzed by one-way ANOVA and Duncan's post hoc tests at P <s 0.05.

Results:

The weight results showed a significant reduction in mass. The flexural strength of Group 2 at a 10% reduction per volume had the highest mean significantly without compromising the elastic modulus. In comparison, the means of group 4 at 20% reduction showed the lowest level of toughness.

Conclusion:

The weight was reduced according to the reduction percentage. The flexural strength of Group 2 at a 10% reduction showed the highest degree of toughness among all groups. The void shape and density influenced the mechanical properties tested.
A comparative finite element analysis of titanium, poly-ether-etherketone, and zirconia abutment on stress distribution around maxillary anterior implants
Authors: Elias Angel , Banu R. Fathima , Vaidyanathan Anand Kumar , Padmanabhan T. V.
Published: March 2024

Background:

The aim of this study was to investigate the influence of abutment material, alveolar bone density, and occlusal forces on stress distribution around maxillary anterior implants.

Materials and Methods:

An in-vitro study was conducted. The maxillary anterior implant was modeled using a three-dimensional finite element model in D2 and D3 bones with three different abutment materials: titanium, zirconia, and poly-ether-ether ketone (PEEK). Von Mises stress was evaluated after the application of vertical and oblique loads of 100 N, 175 N, and 250 N. Statistical analysis was done by Friedman-Wilcoxon signed-rank test, Mann-Whitney U test, and Kruskal-Wallis test. The probability value <0.05 is considered a significant level.

Results:

Stress distribution around D3 bone was higher than D2 bone in all the abutment materials with greater values seen in oblique load than vertical load with insignificant difference ( P > 0.05). Statistically insignificant stress values were seen greater in PEEK than titanium or zirconia abutment ( P > 0.05). A statistically significant difference was observed between 100 N and 175 N of load ( P < 0.05).

Conclusion:

PEEK, zirconia, and titanium as abutment material in the anterior region showed similar properties. The stress on the bone was proportionately increased during the vertical and oblique loads suggesting the influence of mechanical load in crestal bone loss rather than the type of abutment material.
Klüver–Bucy Syndrome Secondary to A Dominant Middle Cerebral Artery Ischemic Stroke: A Case Report and Review of The Literature
Authors: Mnaili Mohamed Amine , Bourazza Ahmed
Published: March 2024

Klüver–Bucy syndrome (KBS) is a neuropsychiatric disorder secondary to temporal lobe damage. This can be associated with various causes. This syndrome is rarely caused by stroke. We describe the case of a KBS, admitted to the neurology department of the military hospital of Agadir, in September 2022 secondary to ischemic stroke in middle cerebral artery territory. The patient presented most of the clinical features of KBS. These neurobehavioral manifestations improved after the start of treatment.
Artificial intelligence-based video monitoring of movement disorders in the elderly: a review on current and future landscapes
Authors: Park Kye Won , Mirian Maryam S , McKeown Martin J
Published: March 2024

Due to global ageing, the burden of chronic movement and neurological disorders (Parkinson’s disease and essential tremor) is rapidly increasing. Current diagnosis and monitoring of these disorders rely largely on face-to-face assessments utilising clinical rating scales, which are semi-subjective and time-consuming. To address these challenges, the utilisation of artificial intelligence (AI) has emerged. This review explores the advantages and challenges associated with using AI-driven video monitoring to care for elderly patients with movement disorders. The AI-based video monitoring systems offer improved efficiency and objectivity in remote patient monitoring, enabling real-time analysis of data, more uniform outcomes and augmented support for clinical trials. However, challenges, such as video quality, privacy compliance and noisy training labels, during development need to be addressed. Ultimately, the advancement of video monitoring for movement disorders is expected to evolve towards discreet, home-based evaluations during routine daily activities. This progression must incorporate data security, ethical considerations and adherence to regulatory standards.
Medical education and physician training in the era of artificial intelligence
Authors: Xu Yueyuan , Jiang Zehua , Ting Daniel Shu Wei , Kow Alfred Wei Chieh , Bello Fernando , Car Josip , Tham Yih-Chung , Wong Tien Yin
Published: March 2024

With the rise of generative artificial intelligence (AI) and AI-powered chatbots, the landscape of medicine and healthcare is on the brink of significant transformation. This perspective delves into the prospective influence of AI on medical education, residency training and the continuing education of attending physicians or consultants. We begin by highlighting the constraints of the current education model, challenges in limited faculty, uniformity amidst burgeoning medical knowledge and the limitations in ‘traditional’ linear knowledge acquisition. We introduce ‘AI-assisted’ and ‘AI-integrated’ paradigms for medical education and physician training, targeting a more universal, accessible, high-quality and interconnected educational journey. We differentiate between essential knowledge for all physicians, specialised insights for clinician-scientists and mastery-level proficiency for clinician-computer scientists. With the transformative potential of AI in healthcare and service delivery, it is poised to reshape the pedagogy of medical education and residency training.
An Apriori algorithm-based association rule analysis to identify acupoint combinations for treating uremic pruritus
Authors: Lu Ping-Hsun , Lai Chien-Cheng , Chiu Ling-Ya , Lin I-Hsin , Iou Chih-Chin , Lu Po-Hsuan
Published: March 2024

Objective:

Uremic pruritus (UP) is a prevalent and troublesome condition affecting individuals with end-stage renal failure, which results in intense pruritus, depression, as well as poor quality of sleep, significantly impacting their quality of life. According to previous studies, acupuncture and acupoint stimulation have been shown to provide additional benefits in treating UP in dialysis patients. In addition, using acupoints combination may yield superior effectiveness compared to utilizing a singular acupoint. To investigate the potential correlations between acupoint combinations, an association-rule analysis was employed.

Materials and Methods:

Apriori algorithms stand out as highly potent techniques for identifying associations in databases; this study utilized an association rule mining to examine the association rules of key acupoint groupings that could be employed for treating UP.

Results:

The analysis utilized information derived from the meta-analysis encompassing 40 randomized controlled trials that used acupuncture to treat UP. In total, 64 acupoints were analyzed, and 71 association rules were found. The following acupoint combinations: Auricular shenmen (TF4), Quchi (LI11), and Geshu (BL17); Auricular heart (Extra14), Sanyinjiao (SP6), and Auricular lung (CO14); and Auricular heart (Extra14), Xuehai (SP10), and Auricular lung (CO14) showed the strongest associations.

Conclusion:

Acupoints involving Auricular shenmen (TF4), Quchi (LI11), Geshu (BL17), Auricular heart (Extra14), Sanyinjiao (SP6), Auricular lung (CO14), and Xuehai (SP10) can be regarded as the core combination of acupuncture points for managing UP.
Protective effects of Jing-Si-herbal-tea in inflammatory cytokines-induced cell injury on normal human lung fibroblast via multiomic platform analysis
Authors: Wang Chien-Hao , Yang Jai-Sing , Chen Chao-Jung , Su San-Hua , Yu Hsin-Yuan , Juan Yu-Ning , Chiu Yu-Jen , Ho Tsung-Jung
Published: March 2024

Objectives:

The protective effects and related mechanisms of Jing-Si herbal tea (JSHT) were investigated in cellular damage mediated by pro-inflammatory cytokines, including interleukin (IL)-1β, IL-6, and tumor necrosis factor-α, on normal human lung fibroblast by multiomic platform analysis.

Materials and Methods:

The in
silico high-throughput target was analyzed using pharmacophore models by BIOVIA Discovery Studio 2022 with ingenuity pathway analysis software. To assess cell viability, the study utilized the MTT assay technique. In addition, the IncuCyte S3 ZOOM System was implemented for the continuous monitoring of cell confluence of JSHT-treated cytokine-injured HEL 299 cells. Cytokine concentrations were determined using a Quantibody Human Inflammation Array. Gene expression and signaling pathways were determined using next-generation sequencing.

Results:

In
silico high-throughput target analysis of JSHT revealed ingenuity in canonical pathways and their networks. Glucocorticoid receptor signaling is a potential signaling of JSHT. The results revealed protective effects against the inflammatory cytokines on JSHT-treated HEL 299 cells. Transcriptome and network analyses revealed that induction of helper T lymphocytes, TNFSF12, NFKB1-mediated relaxin signaling, and G-protein coupled receptor signaling play important roles in immune regulatory on JSHT-treated cytokine-injured HEL 299 cells.

Conclusion:

The findings from our research indicate that JSHT holds promise as a therapeutic agent, potentially offering advantageous outcomes in treating virus infections through various mechanisms. Furthermore, the primary bioactive components in JSHT justify extended research in antiviral drug development, especially in the context of addressing coronavirus.
Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study
Authors: Mercaldo Francesco , Brunese Luca , Santone Antonella , Martinelli Fabio , Cesarelli Mario
Published: March 2024

In the current realm of biomedical image classification, the predominant choice remains deep learning networks, particularly convolutional neural network (CNN) models. However, deep learning suffers from a notable drawback in terms of its high training cost, mainly due to intricate data models. A recent alternative, known as the Extreme Learning Machine (ELM), has emerged as a promising solution. Empirical investigations have indicated that ELM can offer satisfactory predictive performance for a wide array of classification tasks, while significantly reducing training costs when compared to deep learning networks trained using back propagation.This research paper introduces a methodology designed to evaluate the suitability of employing the Extreme Learning Machine for biomedical classification tasks. Our study encompasses binary and multiclass classification across four distinct scenarios, involving the analysis of biomedical images obtained from both dermatoscopes and blood cell microscopes. The findings underscore the effectiveness of the Extreme Learning Machine, showcasing its successful utilization in the classification of biomedical images.
A class of evolution differential inclusion systems
Authors: Zhao Jing , Liu Zhenhai , Papageorgiou Nikolaos S
Published: March 2024

The main purpose of this paper is to study an abstract system which consists of a non-linear differential inclusion with $C_0$-semigroups and history-dependent operators combined with an evolutionary non-linear inclusion involving
pseudomonotone operators, which contains several interesting problems as special cases. We first introduce a hybrid iterative system by using the Rothe method, pseudomonotone operators theory,
and a feedback iterative technique. Then, the existence and a priori estimates for solutions to a series of approximating discrete problems are established. Furthermore, through a limiting procedure for solutions of the hybrid iterative system, we show that the existence of solutions to the original problem.
Epiphytic bryophyte communities of the Dendrological Park “Olexandria” of the NAS of Ukraine
Authors: Pleskach Lyubov , Virchenko Vitaliy , Onyshchenko Viktor
Published: March 2024

The article presents the results of research on epiphytic bryophyte communities of the Dendrological Park “Olexandria”. The study was conducted in the historical part of the arboretum in 2021. Among the investigated phorophytes were the following tree species: Acer platanoides, A. pseudoplatanus, Betula pendula, Carpinus betulus, Fraxinus excelsior, Quercus robur, Populus sp., Salix babylonica, and some others.The research results showed that the epiphytic bryophyte vegetation of the historical part of the Dendrological Park “Olexandria” is represented by two unranked communities and 11 associations belonging to six unions, four orders, and three classes. The most widespread in the arboretum are the associations Dicrano scoparii-Hypnetum filiformis, Platygyrietum repentis, Leskeetum polycarpae, and the rankless community Leucodon sciuroides of the class Frullanio dilatatae-Leucodontetea sciuroidis.It is shown that in terms of the number of detected bryophyte associations, the Dendrological Park “Olexandria” is similar to the National Nature Park “Homilsha Woods”, which is located in the Kharkiv region (hosts 11 reported associations) and the Nature Reserve “Kanivskyi” in the Cherkasy region (12 reported associations). However, it is poorer than the National Nature Park “Holosiivskyi” in Kyiv, where 16 bryoassociations were registered.
Linguagem, verdade e a-gente. Um retorno ao lugar sagrado
Authors: Santos Kadu
Published: March 2024

O desiderato deste ensaio propõe submeter o pensamento, «em» doação, à linguagem [Sprache]. A linguagem enquanto o que gesta, recolhe, forma e conforma o Dasein em seus comportamentos. Urge pensá-la no modo da vontade de verdade, no modo da impessoalidade na saga do seu dizer, de saída, eivada de juízos valorativos e para além disso, pensar o seu outro, a saber, a poesia, para que «em» jornada a linguagem poética conclame para que desse modo habitemos propriamente o lugar sagrado. Pretende-se compreender a atmosfera regente dos modos de comportamentos deste ente [Dasein] na sua cotidianidade, ambientado cientificamente, politicamente e discursivamente. Neste diapasão, refletir-se-á a linguagem desde os comportamentos científicos, em sentido lato, até o ponto disruptivo onde a linguagem, como posse da verdade, se dê como possibilitadora de um salto para um pensar poético. E como consequência, a partir do gesto dito iluminado do poeta, a linguagem num dado abandono proporcione uma serenidade imperturbável.
La herencia de la filosofía de la vida: una aproximación a la hermenéutica. Dilthey, Heidegger y Gadamer en torno a la vivencia
Authors: Benito Torres Jorge
Published: March 2024

La hermenéutica de Dilthey ha legado a la historia de la filosofía una profunda tematización del problema de la vivencia humana. En ella, se lleva a cabo un análisis de la experiencia desde el juego dado entre la totalidad de la vida histórica y la vivencia concreta y particular. Tomando estas ideas como base, la filosofía de la vivencia elaborada por dicha tradición se orienta hacia la dilucidación de una ontología de la vida, cuya pretensión es la de indagar en la naturaleza fáctica de la propia experiencia. Esta herencia es apreciable en la hermenéutica de la facticidad explicitada por Heidegger y en la ontología hermenéutica planteada por Gadamer. El objetivo del presente ensayo será el de recuperar la reflexión diltheyana que da cuenta de un modo de comprensión específico de la experiencia. Ello nos permitirá desvelar las dinámicas propias de la comprensión y la vivencia, distinguiendo este análisis frente al modelo fenomenológico.
Angustia y serenidad. La espacialidad como base interpretativa de la transformación hermenéutica de la disposición afectiva en el pensamiento heideggeriano
Authors: Miranda Bascopé Christian
Published: March 2024

En este texto se estudia la modulación interpretativa de la relación estructural entre la espacialidad y la disposición afectiva que se da a lo largo de la obra heideggeriana. Por una cuestión de delimitación necesaria, el foco de análisis será colocado en la etapa de la analítica existenciaria de Ser y Tiempo y en el denominado pensar topológico de los años 50. Por tanto, el hilo conductor interpretativo para pensar lo anímico será proporcionado por la angustia y la serenidad respectivamente. Este trabajo intenta proponer que una de las claves fundamentales para pensar la transformación del sentido de lo afectivo en la obra heideggeriana se encuentra en la reconfiguración interpretativa acerca de la espacialidad que se da en los textos del pensador alemán posteriores a la Kehre; fundamentalmente aquellos que son elaborados en la etapa más tardía de su pensamiento.
Temporalidad, mundo y praxis. La influencia de la obra temprana de Heidegger en la teoría política arendtiana
Authors: Gracia Landaeta Oscar , Laguna Tapia Andrés , Rojo Salazar Pablo
Published: March 2024

Este trabajo analiza algunas de las dimensiones fundamentales de la influencia de la obra temprana de Martin Heidegger sobre la teoría política de Hannah Arendt. Como se sabe, la pensadora judía cursó algunos de sus más cruciales años universitarios bajo la tutoría del profesor alemán. En tal sentido, tanto la perspectiva hermenéutico-fenomenológica como los conceptos de “mundo” y praxis resultaron decisivos para definir, junto con la experiencia del totalitarismo, el sentido y la profundidad de la teoría política arendtiana. En líneas generales, se espera que la investigación permita no solo entender varias de las nociones centrales del pensamiento de Arendt dentro de su horizonte de sentido original, sino además visibilizar algunas de las potencialidades que la obra temprana de Heidegger posee a la hora de repensar la política y la pluralidad humana.
New data on the funeral rites of the ancient population of the Caucasus (based on the materials of the monuments of Koban culture of the Late Bronze Age)
Authors: Чшиев В.Т.
Published: March 2024

В статье рассматриваются бронзовые стержневидные булавки с на- вершием в виде бараньих рогов, использовавшиеся древнекавказским населением, оставившим памятники протокобанской эпохи в качестве украшения женской при- чески. По мнению автора, ряд экземпляров таких булавок несет на себе следы наме- ренной деформации, являющиеся признаками ритуала «умерщвления» предметов погребального инвентаря.

The article examines the bronze rod-shaped pins with a top in the form of ram's horns, used by the ancient Caucasian population, who left monuments of the Proto-Kobe era as a decoration for a woman's hairstyle. According to the author, a number of copies of such pins bear traces of intentional deformation, which are signs of a ritual of "killing" objects of funeral equipment.
The «outrageous» letters of Tsarevich Alexander Bagrationi as an element of Persian propaganda in the War of 1804-1813
Authors: Дементьев Д.А.
Published: March 2024

Статья посвящена анализу пропагандистских материалов, подготов- ленных грузинским царевичем Александром Багратиони и использованных в интересах Ирана для дестабилизации обстановки в Грузинской губернии России в ходе русско-пер- сидской войны 1804–1813 гг. Особое внимание автор уделил оценке эффективности мер психологического воздействия, предпринятых Александром в отношении различ- ных социальных (дворяне, духовенство, крестьяне, горожане), национальных, этниче- ских (осетины, армяне, азербайджанцы, кабардинцы, кахетинцы, карталинцы, хевсуры, пшавы) и религиозных (христиане, мусульмане-шииты и мусульмане-сунниты) групп.

The article is devoted to the analysis of propaganda materials prepared by the Georgian Tsarevich Alexander Bagrationi and used in the interests of Iran to destabilize the situation in the Georgian province of Russia during the Russian-Persian War of 1804-1813. The author paid special attention to the assessment of the effectiveness of psychological impact measures taken by Tsarevich Alexander in relation to various social (nobles, clergy, peasants, townspeople), national, ethnic (Ossetians, Armenians, Azerbaijanis, Kabardins, Kakhetians, Kartalis, Khevsurs, Pshavs) and religious (Christians, Shiite Muslims and Sunni Muslims) groups.
Collectible and jewelry-ornamental fauna in the sedimentary stata of the Caucasus of different ages
Authors: Газеев В.М. , Гурбанов А.Г.
Published: March 2024

На основании изучения научных публикаций, интернет сайтов и собственных маршрутных исследований выявлены коллекционные представители ископаемой фауны, присутствующей в разрезах осадочных пород палеозойского, юрского и мелового возраста Северного Кавказа. Приведено краткое описание их наиболее типичных представителей. Определены районы распространения фауны, обладающей хорошей сохранностью и деко- ративными характеристиками. Отмечены коллекционные минералы и поделочные камни, встречающиеся в этих же осадочных толщах.

Based on the study scientific publications, Internet sites and own field studies, collectible representatives of the fossil fauna present in sections of sedimentary rocks of Paleozoic, Jurassic and Cretaceous age of the North Caucasus have been identified. A brief description of their most typical representatives is given. Areas of distribution of fauna with good preservation and decorative characteristics have been identified. Collectible minerals and ornamental stones found in the same sedimentary strata are noted.
Noise Traders Kavramının Web Of Science Veri Tabanı Aracılığıyla Bibliyometrik Analizi
Authors: Uslu Muhsin , Yıldırım Murat
Published: March 2024

Öz
Geleneksel finans teorileri, yatırımcıları tam bilgiye sahip, rasyonel varlıklar olarak tanımlarken, davranışsal finans teorileri yatırımcıları irrasyonel veya sınırlı rasyonel olarak nitelendirir. Geleneksel finans teorilerinin açıklamada yetersiz kaldığı ve psikolojik faktörlerin yatırım kararlarında önemli bir etken olduğunu ortaya koyan davranışsal finans alanında, üç temel teori ortaya çıkmıştır: zihinsel muhasebe teorisi, sürü davranışı teorisi ve yatırımcı duyarlılığı teorisi. Yatırımcıların bilgi yerine söylentilere göre işlem yapması, bilgiye az veya çok reaksiyon göstermesi yatırımcı duyarlılığı teorisinin temelini oluşturmuştur. Yatırımcıların geleceğe yönelik beklenti ve duyarlılıklarından kaynaklanan, kesin doğruluk taşımayan sinyallere “Noise” yani “Söylenti” denirken, bu söylentilere dayalı işlemleri gerçekleştiren kişilere de genellikle “Noise Traders” yani “Söylenti Tacirleri” adı verilmektedir. Söylenti tacirleri kavramı, 1990’lardan itibaren akademik çalışmalarda sıkça kullanılan bir kavram haline gelmiştir. Bu araştırmanın amacı, söylenti tacirleri kavramının ortaya çıkmasından sonra akademik açıdan nasıl evrim geçirdiğini ve özellikle finans ve ekonomi alanlarında nasıl bir yer edindiğini belirlemektir. Bu bağlamda, çalışmada Web of Science (WoS) veri tabanındaki SSCI, SCI-EXPANDED ve ESCI indekslerinde yer alan ve 2023 yılı sonuna kadar yayınlanmış 393 çalışma incelenerek bibliyometrik bir analiz yapılmıştır. Elde edilen veriler, R Studio yazılım programı ve Web of Science veri tabanı kullanılarak bibliyometrik ağlar, bağlantılar ve tablolar aracılığıyla görselleştirilerek çalışmanın bulgular bölümünde verilmiştir. Bu çalışma, sosyal bilimler alanında söylenti tacirleri kavramının hangi alanlarda araştırıldığını ve özellikle finans ve ekonomi alanlarındaki araştırmacılara rehberlik edebilecek önemli bulgular sunmaktadır.
Anahtar Kelimeler: Söylenti Tacirleri, Bibliyometrik Analiz, Web of Science
JEL Sınıfı: G00, G02, G12, G14
CFD Analysis of Quad-Copter Propeller by Changing the Geometry, Number of Blades, and Materials
Authors: Baba Saheb K  , Sandeep Thapa  , Shiva Sai G  , Raghavendra B
Published: March 2024

It is an undeniable fact that the importance of drones has increased in every aspect of daily life, such as defense, military, agriculture, film shooting, disaster management, and many more. The good design of a propeller plays a crucial part in the efficiency, vibration, and stability of a drone in mid-air. With advancements in design and manufacturing technologies, it is much easier to manufacture complex designs. One such complex design in a drone is its propeller blade. The main objective of this paper is to analyze thrust forces, pressure distribution, viscous coefficient, and pressure coefficient by considering various airfoil shapes for the blades, in addition to changing the number of blades. Additionally, the material used for the blade is changed. CATIA V5 Modeling Software is used for creating geometric models of the drone propeller. Ansys Fluent is used for CFD analysis of the drone propeller in Ansys 19.2 software version. Aluminum and carbon fiber materials are used. Finally, after performing CFD analysis, aluminum material has obtained more thrust force than carbon fiber material. Irrespective of the material used, the maximum pressure obtained is less than their material strength.
Planning Efficient Transportation through Network Analysis: A Case of Faridabad City
Authors: Anshul Kumari  , V.K.Bansal  , Neetu Kapoor
Published: March 2024

The main challenge that most of the populous satellite cities are facing is traffic congestion that leads to many social, economic, and environmental issues deteriorating the life of the inhabitants. One of the major necessities to deal with this traffic congestion is a good public transportation system. The lack of an appropriate public transportation system leads to problems like deterioration of lifestyle and congestion of traffic which affects the accessibility of people and goods. Accessibility to the important facilities and vehicular mobility are the major concern of the major satellite cities in India. This study focuses on the planning of easy accessibility to the maximum facility locations and its wayfinding through the road network of the case study with the help of the network analysis in geographic information system. The study deals with finding the service area, closest facility, and an optimal route between two locations to improve the accessibility of facility locations in the study area.
Biceps brachii long head calcific tendinitis can be treated quickly and effectively with radial shockwave therapy: a case report
Authors: Şahbat Yavuz , Çat Görkem , Yağcı İlker , Mert Topkar Osman
Published: March 2024

Calcific tendinitis, which mostly involves the supraspinatus and rotator cuff tendons, may very rarely involve the long head of the biceps brachii (LHBB). Arthroscopy is the first choice in cases of calcific tendinitis accompanied by a rotator cuff tear but in cases where the rotator cuff is intact, there are different treatment methods, such as non-steroidal anti-inflammatory drugs (NSAID), steroid injection, Extracorporeal Shock Wave Therapy (ESWT), and Radial Shock Wave Therapy (RSWT).

A 28-year-old male presented at the outpatient clinic with right shoulder pain which had been ongoing for 6 months. The patient, who was a licensed table tennis player and amateur bodybuilder, had no systemic diseases. After clinical and radiological evaluation, ultrasonography showed calcification at the level of the greater tuberculum of the right humerus. The patient was diagnosed with calcific tendinitis of the bicipital tendon. Magnetic resonance imaging (MRI) was then performed to investigate any rotator cuff pathology or glenohumeral joint pathology. No additional pathology was observed. The patient was managed with the standard RSWT protocol of four sessions. 0.25 mJ/mm2 3 bar 2000 beats administered with an electromagnetic lithotriptor. Before RSWT, the VAS score was 9 over 10 and Constant score was 37, and after the first session of RSWT, the VAS score of the patient had decreased to 6. After the 4th session, treatment was terminated as the patient was completely pain-free.

At the 1-year follow-up examination, the patient was still pain-free during daily activities and sports activities, and had full range of motion. In this case report, RSWT is presented as an effective treatment option for LHBB calcific tendinitis. RSWT may be a priority option over ultrasound-guided or arthroscopic barbotage in patients without tendon rupture.
The Radium Girls’ Eternal Glow: Politics, Gender, and Malpractice in the American Radium Industry
Authors: Nam Claire
Published: March 2024

During the 1920s, radium permeated all aspects of American life from media to recreation to food due to pro-laissez faire laws that allowed the U.S. radium industry to adopt vertical integration business models and use illegal advertising methods. One of the largest radium corporations was the United States Radium Corporation which employed thousands of young girls in New Jersey and Illinois to paint radium watches for the U.S. military. While radium companies were aware of the lethal consequences of radium consumption, they continued to hire employees to handle the substance without proper protection and distributed their products on a mass scale, leading to hundreds of deaths and chronic illnesses. My paper builds on existing scholarship that has focused on the policy failures surrounding the Radium Girls while adding an overlooked unit of analysis: gender. This paper is a product of a year’s worth of researching secondary and primary sources online, visiting museums and archival collections, analyzing previous American industrial health laws, and consultations with PhD students at Yale University specializing in American history. My paper concludes that the tragic tale of the Radium Girls is an account of gender-based violence on a massive scale. The USRC took advantage of the women’s gender statuses to build a workforce considered expendable in society, and thus discounted by the media and law. As a result, the USRC and the U.S. government exploited the girls for decades, confident that the public would not demand justice in their names.
Comparison Of 3D Structures Generated by AlphaFold2 to Experimental Structures In Oncogenic Proteins
Authors: Rajpal Simar , Plymire Daniel
Published: March 2024

AlphaFold2 is a machine-learning algorithm that can predict the 3D structure of proteins. 3D protein structures are essential for understanding the function of oncogenic proteins, which can potentially cause cancer. In this study, we compared the structure of 26 oncogenic proteins found experimentally and computationally using AlphaFold2. We used RMSD values to measure how well the AlphaFold2 model fit the experimentally derived protein structures. RMSD values for the oncogenic proteins ranged from 0.204 Å to 1.980 Å with an average of 0.633 Å, showing that AlphaFold2 was a promising tool for predicting the 3D structure of oncogenic proteins. However, we noted that AlphaFold2 has limitations in predicting the structure of highly disordered proteins, proteins with multiple conformations, mutated and artificial proteins, and proteins that are not well-studied experimentally. Our study suggests that AlphaFold2 could be used to identify new targets for cancer treatment and design drugs that can fit into the binding sites of oncogenic proteins. We also hypothesize that AlphaFold2 could be improved by increasing the amount of data available for training, improving the resolution of current data, and using it in conjunction with other protein structure models. We believe that AlphaFold2 is a powerful tool for predicting the structure of oncogenic proteins. Despite the current limitations, we are optimistic that future research will improve AlphaFold2, finding use in cancer research.
DESENVOLVIMENTO DE UM SISTEMA DE GERENCIAMENTO PARA PACIENTES COM CÂNCER NA CIDADE DE PAU DOS FERROS-RN
Authors: De Freitas Fernandes Allyson Bruno , Rolim de Sousa Reudismam
Published: March 2024

Este estudo foca no desenvolvimento de um sistema de gerenciamento dedicado ao cuidado dos pacientes com câncer na filial da AAPCMR em Pau dos Ferros/RN. O sistema proposto tem como principal objetivo centralizar e controlar informações vitais sobre os pacientes, incluindo dados médicos, situações habitacionais, composição familiar e histórico pessoal. Além disso, o sistema permitirá o agendamento de eventos relevantes para o tratamento, bem como apresentará um dashboard informativo sobre doações e arrecadações para a filial. A essência deste sistema reside na sua capacidade de oferecer uma visão abrangente e integrada dos pacientes, facilitando o acompanhamento contínuo, a comunicação entre profissionais de saúde e a gestão eficiente do tratamento. Ao proporcionar ferramentas para o registro detalhado do perfil do paciente e eventos pertinentes ao tratamento, o sistema visa aprimorar a qualidade do atendimento oferecido, otimizar a utilização de recursos disponíveis e, em última instância, melhorar a experiência e o percurso do paciente durante o tratamento oncológico na filial da AAPCMR.
ABORDAGEM DIAGNÓSTICA E TERAPÊUTICA DO TRANSTORNO BIPOLAR ENTRE CRIANÇAS E ADOLESCENTES: UMA REVISÃO BIBLIOGRÁFICA
Authors: Vytor Cardoso Nobre Paulo , Carolina Pinto Leite Freire Ana , Oliveira Mendonça Daniel , Souza Xavier Mateus , Alexandre Caixeta Mauro , Antônio Gomes de Oliveira Marcos , Da Silva Peixoto Morgan , Henrique Costa de Oliveira Pedro
Published: March 2024

O transtorno bipolar em crianças é uma condição psiquiátrica caracterizada por alterações que incluem episódios de mania, hipomania, depressão. Alternativas avançadas de terapia farmacológicas têm revolucionado o manejo do transtorno. Objetivo: Realizar uma revisão bibliográfica abrangente das estratégias diagnósticas e terapêuticas aplicadas no transtorno bipolar entre crianças e jovens. Métodos: Foram escolhidos artigos originais e revisões sistemáticas publicadas entre 2003 e 2024, com critérios de inclusão e exclusão próprios, por meio de buscas em bases, como PubMed, Scielo e Scopus. Resultado e discussões: O diagnóstico pediátrico avançou nas últimas décadas, principalmente as alterações morfológicas em amigdala. Contudo, há considerações específicas, como a distinção entre humor expansivo e irritabilidade. O tratamento frequentemente se baseia em lítio ou antipsicóticos atípicos, com destaque para a importância do início precoce da terapia com lítio. Além do papel multidisciplinar, principalmente por meio da TCC, desempenha um papel essencial na prevenção de recaídas e na gestão dos episódios agudos de humor em crianças com transtorno bipolar. Conclusão: Apesar dos avanços, é vital aprimorar a abordagem diagnóstica para distingui-lo de outros distúrbios. A complexidade dos sintomas exige uma terapia individualizada, envolvendo tratamento medicamentoso e psicossocial. Investimentos em pesquisa clínica são necessários para melhorar o prognóstico e reduzir complicações a longo prazo.
Bacterial Secondary Metabolite Activation Through Epigenetic Modifiers: A Systematic Review
Authors: Rosli Joana Noor Rashidah , Syed Mohamad Sharifah Aminah , Muhammad Low Anis Low , Ariffin Suhaidi
Published: March 2024

Bacteria have produced many important secondary metabolites, especially in the pharmaceutical industry. However, the increase in the rediscovery rate of the known compound has been inconvenient to researchers and the pharmaceutical industry. Nevertheless, genome mining in bacteria has uncovered several cryptic metabolic pathways that may be key to discovering new secondary metabolites. The conventional laboratory environment, however, limits the metabolic pathways of microorganisms, making it impossible for secondary metabolites to be produced. As a result, researchers began using epigenetics to change the expression of the genes that code for secondary metabolites in microorganisms. Using epigenetics modifiers, secondary metabolite gene clusters are activated without altering the bacterial DNA sequence. This review article focuses on the different epigenetic changes and how they affect gene expression to activate the synthesis of secondary metabolites in bacteria.
Integration of Unmanned Aerial Vehicle and Multispectral Sensor for Paddy Growth Monitoring Application: A Review
Authors: Mohidem Nur Adibah , Jaafar Suhami , Che’Ya Nik Norasma
Published: March 2024

Using a conventional approach via visual observation on the ground, farmers encounter difficulties monitoring the entire paddy field area, and it is time-consuming to do manually. The application of unmanned aerial vehicles (UAVs) could help farmers optimise inputs such as water and fertiliser to increase yield, productivity, and quality, allowing them to manage their operations at lower costs and with minimum environmental impact. Therefore, this article aims to provide an overview of the integration of UAV and multispectral sensors in monitoring paddy growth applications based on vegetation indices and soil plant analysis development (SPAD) data. The article briefly describes current rice production in Malaysia and a general concept of precision agriculture technologies. The application of multispectral sensors integrated with UAVs in monitoring paddy growth is highlighted. Previous research on aerial imagery derived from the multispectral sensor using the normalised difference vegetation index (NDVI) is explored to provide information regarding the health condition of the paddy. Validation of the paddy growth map using SPAD data in determining the leaf’s relative chlorophyll and nitrogen content is also being discussed. Implementation of precision agriculture among low-income farmers could provide valuable insights into the practical implications of this review. With ongoing education, training and experience, farmers can eventually manage the UAV independently in the field. This article concludes with a future research direction regarding the production of growth maps for other crops using a variety of vegetation indices and map validation using the SPAD metre values.
Bead Geometry Control in Wire Arc Additive Manufactured Profile — A Review
Authors: Wani Zarirah Karrim , Abdullah Ahmad Baharuddin
Published: March 2024

Wire arc additive manufacturing (WAAM) is a well-established additive manufacturing method that produces 3D profiles. A better deposition efficiency can be achieved by understanding the parameters that may influence the geometry of the bead. This paper provides a review that focuses on the factors that may influence the formation of the 3D profile. The included factors are the flow pattern of the molten pool after deposition, the built structure and orientation, the heat input and cooling conditions, the welding parameters, and other uncertainties. This review aims to facilitate a better understanding of these factors and achieve the optimum geometry of the 3D parts produced. According to the literature, the behavior of molten pools is identified as one of the major factors that can impact the deposition efficiency of a bead and govern its geometry. The review indicated that the flow behavior of the molten pool and the geometry of the deposited bead are significantly affected by most welding parameters, such as torch angle, wire travel speed, filler feed rate, and cooling conditions. Furthermore, this paper incorporates the technology utilized for comprehending the behaviors of the molten pool, as it constitutes an integral component of the control strategy. It has been concluded that automated planning and strategy are necessary to ensure efficient deposition by controlling those factors. The integration of artificial intelligence could bring benefits in planning to address the variation and complexity of shapes.
A Review: Current Trend of Immersive Technologies for Indoor Navigation and the Algorithms
Authors: Sariman Muhammad Shazmin , Othman Maisara , Mat Akir Rohaida , Mahamad Abd Kadir , Ab Rahman Munirah
Published: March 2024

The term “indoor navigation system” pertains to a technological or practical approach that facilitates the navigation and orientation of individuals within indoor settings, such as museums, airports, shopping malls, or buildings. Over several years, significant advancements have been made in indoor navigation. Numerous studies have been conducted on the issue. However, a fair evaluation and comparison of indoor navigation algorithms have not been discussed further. This paper presents a comprehensive review of collective algorithms developed for indoor navigation. The in-depth analysis of these articles concentrates on both advantages and disadvantages, as well as the different types of algorithms used in each article. A systematic literature review (SLR) methodology guided our article-finding, vetting, and grading processes. Finally, we narrowed the pool down to 75 articles using SLR. We organized them into several groups according to their topics. In these quick analyses, we pull out the most important concepts, article types, rating criteria, and the positives and negatives of each piece. Based on the findings of this review, we can conclude that an efficient solution for indoor navigation that uses the capabilities of embedded data and technological advances in immersive technologies can be achieved by training the shortest path algorithm with a deep learning algorithm to enhance the indoor navigation system.
Clicks with Impact: Measuring the Power of Consumer Choices in Sustainable E-commerce
Authors: Singh Dileep Kumar , Aithal P. S.
Published: March 2024

Purpose of Study: The study "Clicks with Impact: Measuring the Power of Consumer Choices in Sustainable E-commerce using bibliometric analysis" aims to explore the transformative potential of consumer decisions in promoting sustainability within the e-commerce landscape. It seeks to understand the relationship between consumer behaviour and sustainability, highlighting the importance of consumer choices in driving positive change.
Methodology: Through the utilization of bibliometric analysis, the research delves into scholarly literature to map intellectual terrain, identify trends, and uncover insights into consumer behaviour and sustainable e-commerce dynamics. The study employs systematic methods to quantitatively evaluate and analyze a diverse corpus of scholarly materials, providing a comprehensive overview of the field.
Findings: The findings of the study underscore the significance of understanding consumer behaviour in fostering sustainability within the e-commerce realm. By shedding light on the pathways through which consumer choices can promote sustainability, the research contributes to advancing knowledge in the field of sustainable e-commerce, with implications for businesses, policymakers, and researchers.
Originality/Value: This study offers original insights into the intersection of consumer behaviour and sustainability in e-commerce, utilizing bibliometric analysis to provide a comprehensive overview of research trends and key contributors in the field. By employing systematic methods to analyze scholarly literature, the research contributes to the existing body of knowledge and provides valuable insights for future research and practice.
Paper Type: Research Paper