bluuebunny/crossref_metadata_2025 huggingface dataset:
Safety Profile of Pimavanserin Therapy in Elderly Patients with Neurodegenerative Disease-Related Neuropsychiatric Symptoms: A Phase 3B Study
Authors: Alva Gus , Cubała Wiesław J. , Berrio Ana , Coate Bruce , Abler Victor , Pathak Sanjeev
Published: March 2024

Background: Pimavanserin, a 5-HT2A receptor inverse agonist/antagonist, is the only medication approved by the FDA for the treatment of hallucinations and delusions associated with Parkinson’s disease psychosis (PDP). Further expanding knowledge of the safety profile of pimavanserin in PDP and neurodegenerative diseases (NDD) such as Alzheimer’s disease is of great interest for informing its use in patients with PDP (with or without dementia), given this population is highly sensitive to adverse effects following antipsychotic use. Objective: This trial evaluated the effects of pimavanserin compared to placebo in frail older adults and elderly patients with neuropsychiatric symptoms related to NDD, such as hallucinations and delusions, to better understand the safety of pimavanserin in this population. Methods: This was a phase 3b, 8-week treatment (study duration of up to 16 weeks), multicenter, randomized, double-blind, placebo-controlled, two-arm parallel-group trial (NCT03575052). The primary endpoint was safety and tolerability, measured by treatment-emergent adverse events (TEAEs). Secondary safety endpoints were change from baseline in motor and cognitive function; exploratory endpoints included suicidality, sleep quality, and neuropsychiatric symptoms. Results: Incidences of TEAEs were similar between treatment groups; 29.8% reported ≥1 TEAE (pimavanserin: 30.4%; placebo: 29.3%), and 1.8% reported serious TEAEs (pimavanserin: 2.0%; placebo: 1.5%). Pimavanserin did not impact motor- or cognitive-related function. Conclusions: Pimavanserin was well tolerated and not associated with motor or cognitive impairment. Together, these findings highlight the manageable and generally favorable safety profile of pimavanserin in patients with NDD, contributing to our knowledge on the safety of pimavanserin as it generalizes to patients with PDP.
Sildenafil as a Candidate Drug for Alzheimer’s Disease: Real-World Patient Data Observation and Mechanistic Observations from Patient-Induced Pluripotent Stem Cell-Derived Neurons
Authors: Gohel Dhruv , Zhang Pengyue , Gupta Amit Kumar , Li Yichen , Chiang Chien-Wei , Li Lang , Hou Yuan , Pieper Andrew A. , Cummings Jeffrey , Cheng Feixiong
Published: March 2024

Background: Alzheimer’s disease (AD) is a chronic neurodegenerative disease needing effective therapeutics urgently. Sildenafil, one of the approved phosphodiesterase-5 inhibitors, has been implicated as having potential effect in AD. Objective: To investigate the potential therapeutic benefit of sildenafil on AD. Methods: We performed real-world patient data analysis using the MarketScan® Medicare Supplemental and the Clinformatics® databases. We conducted propensity score-stratified analyses after adjusting confounding factors (i.e., sex, age, race, and comorbidities). We used both familial and sporadic AD patient induced pluripotent stem cells (iPSC) derived neurons to evaluate the sildenafil’s mechanism-of-action. Results: We showed that sildenafil usage is associated with reduced likelihood of AD across four new drug compactor cohorts, including bumetanide, furosemide, spironolactone, and nifedipine. For instance, sildenafil usage is associated with a 54% reduced incidence of AD in MarketScan® (hazard ratio [HR] = 0.46, 95% CI 0.32– 0.66) and a 30% reduced prevalence of AD in Clinformatics® (HR = 0.70, 95% CI 0.49– 1.00) compared to spironolactone. We found that sildenafil treatment reduced tau hyperphosphorylation (pTau181 and pTau205) in a dose-dependent manner in both familial and sporadic AD patient iPSC-derived neurons. RNA-sequencing data analysis of sildenafil-treated AD patient iPSC-derived neurons reveals that sildenafil specifically target AD related genes and pathobiological pathways, mechanistically supporting the beneficial effect of sildenafil in AD. Conclusions: These real-world patient data validation and mechanistic observations from patient iPSC-derived neurons further suggested that sildenafil is a potential repurposable drug for AD. Yet, randomized clinical trials are warranted to validate the causal treatment effects of sildenafil in AD.
Propagation effect of lightning electromagnetic field along real ground surface and its validation on correcting lightning location system errors
Authors: Zhang Yuanyuan , Liu Zhao , Luan Zaimao , Cao Xuefen , Meng Fanhui , Song Lin
Published: March 2024

Artificially triggered lightning experimental data from Guangdong Comprehensive Observation Experimental Base on Lightning Discharge (GCOELD) was applied to analyze the propagation effect of lightning electromagnetic field along the real ground surface. The accuracy of the finite-difference time-domain (FDTD) on correcting lightning location system (LLS) errors was validated compared with the Elevation Model (EM). Results show that the wave-shape and time-delay of electromagnetic fields can be significantly affected when they propagate over the real ground surface. The time-delay of the field waveform become larger with an increasing roughness. The wavefront electric field is enhanced due to the reflection and variant of the wave when lightning waves propagate across the high and sharp terrain. Near the lightning strokes, the peak of vertical electric value decreases significantly with the electrostatic shielding effect. The max time delay calculated by FDTD is 8.34 μs; while that by EM is 6.55 μs. In the selected nine lightning stroke points, eight are positively revised by EM, and five by FDTD. Both FDTD and EM can be used on LLS error revision caused by the real ground surface around GCOELD, although EM is more efficient than FDTD in this case.
Enhanced LA-HBO technique for optimal position of PMU with complete prominence
Authors: Kabra Preeti , Rani D. Sudha
Published: March 2024

This manuscript proposes a hybrid technique for determining the optimal positioning of phasor measurement units (PMUs) in power systems. The PMUs play a crucial role in power system control, wide-area monitoring, and protection. The proposed hybrid method is the joint execution of the Lichtenberg algorithm (LA) and the heap-based optimization (HBO) technique. Hence, it is named the LA-HBO technique. The objective of the proposed method is to place the PMUs in the power system for observability. The goal is to enhance the efficiency and accuracy of PMU placement, ensuring optimal positioning for improved grid monitoring capabilities. The Lichtenberg Algorithm (LA) enhances PMU placement by addressing system observability challenges and ensuring that selected locations provide comprehensive coverage of the power grid. The heap-based approach optimizes PMU placement by efficiently managing the selection process, considering factors like computational efficiency and scalability. The proposed hybrid technique is implemented in IEEE-30 and -14 bus systems. The MATLAB-based simulation results are compared with the various existing methods, such as Sea Lion Optimization (SLO), Particle Swarm Optimization (PSO), and Ant Bee Colony Optimization (ABC). By then, the outcome reveals the efficacy of the proposed method for defining the optimum PMU locations. The proposed method shows a low computational time of 0.02348 sec for the IEEE-14 bus, and 0.03565 sec for the IEEE-30 bus compared with other existing methods.
Finite element model for partial differential equations in optimization of vehicle safety collision problem
Authors: Zhang Min
Published: March 2024

Vehicle safety on roadsides is vital for preventing collisions, controlling failures and accidents, and ensuring driver and passenger wellness. Finite Element Analysis (FEA) in vehicle safety relies on the vehicle’s physical attributes for predicting and preventing collisions. This article introduces a Differential FEA (DFEA) model for predicting vehicle collisions regardless of the speed and direction for driver/ passenger safety. The proposed model induces a vehicle’s speed, direction, and displacement from two perspectives: self and approaching vehicle. The collision probability with the trailing or persuading vehicle is calculated by distinguishing the forward and rear features. The differential calculus for the point of deviation and distance metrics are significantly estimated for a vehicle’s front and rear ends. Such calculus generates a maximum and minimum possibility for self and approaching vehicle contact. This contact is further split based on the collision threshold; the threshold is determined using the safe distance between two vehicles for collision-less driving. The threshold exceeding vehicles are alerted for their change in direction/ speed through contact point (rear/front) differential derivatives. This ensures collision detection under fewer contact errors, leveraging the safety of the duo vehicles.
Research on discourse role recognition in task-oriented collaborative dialogue
Authors: Shan Liqian , Zhao Hui , Feng Yuhui
Published: March 2024

Task-oriented collaborative dialogues have become an indispensable form of communication in our daily work and learning, in which participants exchange ideas and share information to advance goals. It is crucial to automatically analyze participants’ contributions and understand these dialogues relative to individuals with limited attention spans. In this paper, seven Discourse Role (DR) labels are designed to describe discourse’s different roles in collaborative dialogues for goal achievement. We collected about 11K discourses from a publicly available dialogue corpus and annotated them with DR tags to construct a dataset named MRDR (Meeting Recorder Discourse Role). In addition, this paper proposes a novel hierarchical model, STTAHM (Speaker Turn and Topic-Aware Hierarchical Model), for Discourse Role classification. The model is equipped to perceive speaker turn and dialogue topic and can effectively capture the discourse’s local and global semantic information. Experimental results show that our proposed method is effective on the constructed dataset, and the accuracy of Discourse Role classification reaches 86.99%.
Improving Fault Diagnosis of the Drilling Permanent Magnet Synchronous Motor (DPMSM) in Harsh Environments: A Novel Approach Using Object-Oriented Bayesian Network (OOBN)
Authors: Liu Zhanpeng , Xiao Wensheng , Cui Junguo , Mei Lianpeng
Published: March 2024

The drilling permanent magnet synchronous motor (DPMSM) contains multiple subsystems with identical structures and has a high probability of failure because the downhole working conditions are harsh. Therefore, the quick localization of faults is difficult to determine although the fault type may be identified in time. The system diagnostic model based on the Bayesian network (BN) can be used for fault diagnosis and localization for components in subsystems, but it is difficult to build and modify due to the complex system in practice. New methods are necessary to reduce the difficulty of building and modifying models. In this study, object-oriented ideas are introduced into the BN to establish a system diagnostic model based on an Object-oriented Bayesian network (OOBN) for the DPMSM. First, the fault diagnostic models for subsystems based on BN are established, respectively. Then, submodels of forward and backward based on BN are instantiated as instance nodes. Next, instance nodes are connected through input nodes and output nodes to establish the OOBN-based system diagnosis model. Finally, the system diagnosis model is validated by sensitivity analysis and the effectiveness is discussed in Cases. The system diagnosis model can effectively reduce the difficulties of modeling and modifying.
RETRACTED: Study on the application of the intelligence teaching ecology based on the 5G blended campus network technology
Authors: Zhang Guili , Li Pengxi , Zhang Hanyue , Yu Yinglong , Liang Zhao
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
An adaptive RFID anti-collision algorithm for network intrusion detection
Authors: Ling Zhimei , Wei Chaoying
Published: March 2024

Radio frequency identification (RFID) provides real-time network monitoring capabilities for threat identification. However, accurate detection is impeded by tag interference. This paper presents an adaptive collision tree algorithm that selects optimal binary or octal splits based on collision counts to handle interference. Experiments demonstrate an integrated RFID intrusion detection framework that achieves 8.98% higher throughput and 99.82% detection accuracy compared to other protocols. The method enables efficient real-time threat identification as networks proliferate. However, there are limitations to the approach, such as assumptions of fixed tag populations rather than dynamic tags and a lack of field testing. To strengthen the approach, further research on fluctuating tags and validation in real-world network deployments is necessary. This work presents an adaptive method for leveraging RFID to achieve scalable and accurate network intrusion detection.
The Kantorovich-Wasserstein distance for spatial statistics: The Spatial-KWD library
Authors: Ricciato Fabio , Gualandi Stefano
Published: March 2024

In this paper we present Spatial-KWD, a free open-source tool for efficient computation of the Kantorovich-Wasserstein Distance (KWD), also known as Earth Mover Distance, between pairs of binned spatial distributions (histograms) of a non-negative variable. KWD can be used in spatial statistics as a measure of (dis)similarity between spatial distributions of physical or social quantities. KWD represents the minimum total cost of moving the “mass” from one distribution to the other when the “cost” of moving a unit of mass is proportional to the euclidean distance between the source and destination bins. As such, KWD captures the degree of “horizontal displacement” between the two input distributions. Despite its mathematical properties and intuitive physical interpretation, KWD has found little application in spatial statistics until now, mainly due to the high computational complexity of previous implementations that did not allow its application to large problem instances of practical interest. Building upon recent advances in Optimal Transport theory, the Spatial-KWD library allows to compute KWD values for very large instances with hundreds of thousands or even millions of bins. Furthermore, the tool offers a rich set of options and features to enable the flexible use of KWD in diverse practical applications.
Open Science and the impact of Open Access, Open Data, and FAIR publishing principles on data-driven academic research: Towards ever more transparent, accessible, and reproducible academic output?
Authors: Umbach Gaby
Published: March 2024

Contemporary evidence-informed policy-making (EIPM) and societies require openly accessible high-quality knowledge as input into transparent and accountable decision-making and informed societal action. Open Science1 supports this requirement. As both enablers and logical consequences of the paradigm of Open Science, the ideas of Open Access, Open Data, and FAIR publishing principles revolutionise how academic research needs to be conceptualised, conducted, disseminated, published, and used. This ‘academic openness quartet’ is especially relevant for the ways in which research data are created, annotated, curated, managed, shared, reproduced, (re-)used, and further developed in academia. Greater accessibility of scientific output and scholarly data also aims at increasing the transparency and reproducibility of research results and the quality of research itself. In the applied ‘academic openness quartet’ perspective, they also function as remedies for academic malaises, like missing replicability of results or secrecy around research data. Against this backdrop, the present article offers a conceptual discussion on the four academic openness paradigms, their meanings, interrelations, as well as potential benefits and challenges arising from their application in data-driven research.
Comparison of color changes, fracture strengths, and failure modes of conventional endocrowns and endocrowns with different design modifications
Authors: Al Ahmari Nasser M. , Alshehri Abdulkarim H. , Gadah Thrya S. , Alqahtani Jaber A. , Almushafi Mohammed A. , Al Moaleem Mohammed M. , Al Hatlan Ebtisam N. , Alqhatani Aliya S. , Alabydi Shahad M.
Published: March 2024

BACKGROUND: Endocrowns (ECs) are alternatives for rebuilding severely damaged teeth and show superior efficacy in molars over premolars. OBJECTIVE: The objective of this in vitro study is to evaluate the effects of different preparation designs with short pulp chambers on the mean color change (Δ⁢E), fracture resistance, and failure types of mandibular molar ECs. METHOD: A total of 40 extracted mandibular molars were treated endodontically and divided into four groups. Samples in groups 1, 2, 3, and 4 had occlusal preparation depths of 5 mm, 3 mm, 3 mm with ferrule, and 3 mm with boxes, respectively. The samples were immersed in coffee and their Δ⁢E values were measured by using the Commission Internationale de l’Eclairage color system. They were also subjected to a fracture test. Next, all specimens were examined visually under a stereomicroscope to evaluate their failure modes and identify their fracture origins. Data were entered and analyzed by using Statistical Package for Social Sciences. RESULTS: Among all groups, group 4 (3 mm + boxes) presented the highest Δ⁢E (4.15) after immersion in coffee. Moreover, ANOVA revealed that the Δ⁢E of group 4 (occlusal preparation depth of 3 mm with boxes) was significantly different (p< 0.05) from that of group 2 (3 mm + ferrule, 3.07). The EC with a 3 mm chamfer and ferrule showed the highest maximum load of 2847.68 ± 693.27 N, whereas that with a 5 mm chamfer finish line had a marginally reduced load at fracture of 2831.52 ± 881.83 N. The EC with a 3 mm chamber and boxes had a slightly increased maximum load of 2700.75 ± 436.40 N, whereas that with the 3 mm chamber had the lowest maximum load at fracture of 2385.97 ± 465.61 N. One-way ANOVA showed that different EC preparation designs had no effect on maximum fracture load (F [3,16] = 0.550, p= 0.6). CONCLUSION: The recorded Δ⁢E values of ECs in all groups were equal or marginally higher than the acceptable values. The EC with a 3 mm chamfer and ferrule displayed the highest mean maximum load. The EC with a 5 mm chamfer finish line had a marginally lower maximum load at fracture than other ECs. Failures, such as ceramic fracture, split fracture, and ceramic and tooth splitting above the cemento–enamel junction (CEJ) or vertically were predominant in samples with occlusal preparation depths of 3 mm with ferrule and 5 mm.
Clinical characteristics of hemophagocytic lymphohistiocytosis
Authors: Lu Cancan , Shi Jimin , Tan Yamin , Hu Huixian
Published: March 2024

BACKGROUND: There is no specificity in the clinical presentation of hemophagocytic lymphohistiocytosis (HLH). OBJECTIVE: To study some clinical, etiological, and prognostic features of HLH to improve the clinical understanding of the disease. METHODS: Retrospective analysis of the clinical data of 125 patients with HLH admitted to our hospital from June 2015 to August 2021, including clinical characteristics, laboratory indicators, and survival period. Statistical analysis was performed from the overall group of study indicators, which included population, children, and adults. RESULTS: In the whole population, sex, age, blood myoglobin, and NK cell ratio of M-HLH and non-M-HLH patients (P< 0.05), serum albumin, and direct bilirubin were independent correlates of M-HLH. In the pediatric group, age and the proportion of NK cells were significantly different between M-HLH and non-M-HLH patients (P< 0.05). Multivariate Logistic regression analysis showed that all factors were not significantly associated with M-HLH. The associated regression analysis showed that all factors were not significantly associated with M-HLH. ROC curve analysis showed that the best predictive value of NK cell percentage for M-HLH diagnosis in the overall population was 4.96% in the pediatric group and 4.96% in the adult group. The best predictive value for M-HLH diagnosis was 2.08%. The univariate analysis showed that platelet count, alanine aminotransferase, aspartate aminotransferase, serum albumin, direct bilirubin and indirect bilirubin affected prognosis; COX regression showed that none of these factors had a significant relationship. The overall median survival time was 20.7 months in the adult group, 44.3 months in non-M-HLH patients, and 7.73 months in M-HLH patients (p= 0.011); univariate analysis showed that platelet count and serum albumin level affected prognosis; COX regression results in serum albumin level was an independent risk factor for prognosis. CONCLUSION: The survival rate of non-M-HLH was significantly better than that of M-HLH; the proportion of NK cells had predictive value for the diagnosis of M-HLH; in the general population, non-M-HLH was more likely to have abnormal liver function than M-HLH: lower platelet count and serum albumin level were associated with poor prognosis, and the lower the platelet count and serum albumin level, the worse the prognosis: in addition, adults with lower serum albumin levels are also associated with poor prognosis.
Survival analysis of 3D printed acetabular implants in revision total hip arthroplasty associated with severe pelvic discontinuities
Authors: Álvarez Valdivielso Ainhoa , Akkaya Mustafa , Mau Hans , Luo T. David , Gehrke Thorsten , Citak Mustafa
Published: March 2024

BACKGROUND: Surgeons still face difficulties when performing aseptic acetabular revision on patients with extensive defects. Advances in three-dimensional printing technology (3DP) have afforded to the surgeons to create a patient-specific implant matching the morphology and topography of the defect. OBJECTIVE: The aim of the current research was to determine the survivorship in the treatment of acetabular bone defects with pelvic discontinuity (PD). METHODS: In order to reconstruct Paprosky type III defects with PD, twenty-three patients underwent revision total hip arthroplasty (THA) utilizing 3D-printed implants (Mobelife). The primary outcomes were the implant-associated failure rate correlated with survivorship. As secondary variables, complications and the effect of age, sex, comorbidities, history of infections and the presence of other lower limb arthroplasties on a new revision were analyzed. RESULTS: Patients were followed out to a mean of 67.22 ± 39.44 months (range, 0.9–127 months). Mobelife implant mean survival was 102.57 ± 9.90 months (95% CI 83.17–121.96). The cohort’s implant one-year survival rate was 87%; at ten years, it dropped to 78.3%. There were four revisions: three due to periprosthetic joint infection (PJI) and one case due to aseptic loosening. Cox regression analysis did not identify any variable as predictor of failure. CONCLUSION: The use of 3DP patient-specific acetabular components has shown encouraging results and it is a viable treatment option for addressing acetabular defects with combined PD in aseptic THA revision.
Secure heart disease prediction model using ESVO-based Swish Bessel CNN classifier
Authors: Pawar Shilpa Devram , Rao Damala Dayakar
Published: March 2024

Heart disease is a critical issue that affects people, causes serious sickness, and is the main cause of mortality worldwide. Early diagnosis of disease plays a significant role in heart disease prediction and is attained by various automation techniques. The availability of automation techniques initiates the necessity for medical data and the storage of medical data becomes a research problem due to its high sensitivity. The emergence of IoT networks formed a promising solution for data storage through the cloud server and preventing the data from various threats is a challenging problem. A secure heart disease prediction system is developed by the utility of the ESVO-based Swish Bessel CNN classifier (Emperor Spheniscidae Vampire Optimization-based Swish Bessel Convolutional Neural Network), and the important significance of the research depends on the ESVO optimization that helps in gaining a deeper insight of the classifier as well as helps in preventing the threatening of data. The security of the cloud server is enhanced by the EDH-ECC (Entropy Diffie Hellman – Elliptic Curve Cryptography) which promotes the information exchange even in unsecured channels. Similarly, the authentication and authorization of the cloud server are carried out using the EAN-13 and salt-based digital signature that initiates strong credentials and enhance data security. Finally, the heart disease is diagnosed using the ESVO-based Swish Bessel CNN classifier. Assessing the accuracy, sensitivity, specificity, and F1-measure, which provided values of 94.877 %, 95.464 %, 93.293 %, and 95.14 % shows the effectiveness of the research.
BIOMETRIC AND REPRODUCTIVE INDICATORS IN Perna perna (Linnaeus, 1758) MUSSELS FROM COASTAL MARICULTURE IN RIO DE JANEIRO, BRAZIL
Authors: De Freitas Guimarães Filho Carlos Eduardo , Andrade Calixto Flávia Aline , Kasnowski Holanda Duarte Maria Carmela , Marques de Mesquita Eliana de Fátima
Published: March 2024

The aim of this study was to analyze biometric and  reproductive mussel indicators (Perna  perna) from coastal maricultures in Rio de Janeiro, Brazil. The  collections were carried out with a total of 480 animals in the four seasons of the year (autumn, winter, spring and summer), from  March 2019 to February 2020. Two mussel samples were collected each season (n = 60) with  average measurements of 23.9 mm for width, 33.8 mm for height, 69.9 mm for length, and 28.3 g for weight (shell + soft parts) in both coastal regions. Samples from Forno beach exhibited higher homogeneity in the winter for all  evaluated parameters (width, height, length and weight). Mussel weight was the most variable parameter due to factors such as water flow, nutrients, and gonadal  maturation stage. Regarding reproductive parameters, a predominance of females was observed  at both beaches throughout all four seasons. Additionally, a predominance of both males and females at substage IIIA was observed during autumn and winter, while substage IIIC showed the highest presence in spring and summer.
Keywords: Bivalve Mollusk; Growth indicators; Marine Biology; Reproduction
ARTIFICIAL REEFS IN BRAZIL: PERSPECTIVES ON THE RESTORATION OF MARINE ECOSYSTEMS
Authors: Bracho Villavicencio Carolina , Silveira Raisa Maria , Viana Marques Elissandra , Ferreira Nobre Lucas Ricardo , Vasconcelos do Nascimento Vitória , De Oliveira Soares Marcelo , Rossi Sergio , Matthews Cascon Helena
Published: March 2024

Os recifes artificiais (ARs) podem restaurar ecossistemas de recifes degradados quando implementados  adequadamente. Apesar do interesse crescente, existe controvérsia devido aos variados impactos associados a essas estruturas. Cada local em todo o mundo possui leis e regulamentos exclusivos relativos à implementação de AR. Neste artigo, avaliamos criticamente e atualizamos o estado da arte sobre ARs no Brasil, explorando sua  história, os aspectos-chave e o conhecimento científico sobre seu status e perspectivas futuras. Os ARs têm sido utilizados na costa brasileira por entidades  governamentais desde a década de 1980 e por  comunidades locais com o objetivo de aumentar a produtividade pesqueira desde a década de 1990. No entanto, aspectos importantes, como a monitorização ambiental, a avaliação do local, as tecnologias de materiais, a concepção e as considerações  socioeconômicas, não foram extensivamente abordados. Consequentemente, o planejamento inadequado gerou impactos econômicos e socioambientais, como espécies invasoras, poluição e perturbações nas estruturas tróficascomunitárias, afetando a costa brasileira econômica,  social e ecologicamente. Embora tenham sido feitos alguns progressos na legislação, são necessárias mais especificações e ferramentas baseadas na ciência. Também surgiram preocupações sobre o naufrágio de numerosos navios para fins turísticos. Assim, apresentamos uma ferramenta de tomada de decisão para utilização de AR, enfatizando planejamento científico, avaliações, estratégias de longo prazo, estudos interdisciplinares e políticas públicas para gestão e monitoramento, incluindo ARs existentes.
Palavras-chave: recife artificial, Brasil, gestão costeira, restauração, pesca.
Charles Sanders Peirce and the Place of Chaos in the New World Order
Authors: Ratnikov Volodymyr
Published: March 2024

This preprint examines the main ideas of the metaphysics of the prominent American logician and philosopher Charles Peirce. It is shown that a significant part of his "scientific metaphysics" is evolutionary cosmology, characterized, in particular, by the essential role of randomness in the world. Among the innovative ideas of evolutionary cosmology, the idea of the chaotic beginning of the Universe and constructive understanding of randomness stands out. The preprint shows that this idea echoes some modern problems of quantum-relativistic cosmology, and first of all, the problems of the still popular "inflationary model", in which the idea of the chaotic beginning of the evolution of the Universe is one of the central ones.
Antimicrobial Ayurveda Crops as Superfoods for Export, Conservation & Farmers’ Benefit
Authors: Ghate Utkarsh , Kulkarni Hema
Published: March 2024

Antimicrobial resistance is growing worldwide and presents risks such as a pandemic. It is caused by the overuse or misdirected use of antibiotics. Regulation of antibiotic use can be accompanied by herbal drugs such as turmeric, pepper, & clover, etc., that have been found to be effective for millennia with no emergence of resistance reported, due to their polyphenols and alkaloids or combination, also emerging as “superfoods” due to their inclusion in the regular diet. Combined herbal therapy may be synergistic, preventing the evolution of resistance among the microbes. The cultivation of such superfoods can double farmers' income due to the growing demand and low input costs and save threatened wild herbs from extinction.
On n-Dimensional Maxwell and Dirac Equations in Curved Space-Time and Its Applications in SO(p,q) Group Theoretic Image Processing
Authors: Parthasarathy Harish
Published: March 2024

Maxwell equations in p time and q spatial dimensions are formulated. Properties of the Green’s function for the associated (p,q)-wave operator are derived. The notions of electric and magnetic fields in (p,q)-dimensions is explored by analogy with four dimensional physics. SO(p,q) invariance properties of the Maxwell equations are deduced and used to formulate SO(p,q)-group theoretic image processing problems in (p,q)-dimensions. Dirac’s equation in (p,q)-dimensional space-time is derived using the Clifford algebra of the Dirac gamma matrices. SO(p,q)-invariance of the Dirac equation based on the spinor representation of \(SO(p,q)\) is mentioned. The Maxwell’s equations in (p,q)-dimensional curved space-time is analyzed using perturbation theory. The Einstein-Maxwell equations for (p,q)-dimensional gravity and electromagnetism is studied and used to derive the equations of motion of point charges carrying mass moving under mutual gravitational and electromagnetic interactions in general relativity. Finally, Dirac’s equation in (p,q)-dimensional curved space-time interacting with the (p,q)-dimensional electromagnetic field is looked at. \(U(1)\)-Gauge, local SO(p,q) Lorentz and diffeomorphism invariance of this equation is analyzed. Local \(SO(p,q)\) invariance of the curved space-time Dirac equation is deduced based on transformation properties of the Dirac matrices under the spinor representation.

Keywords: Maxwell equations, \(SO(p,q)\) group, Riemannian metric, flat space-time, curved space-time, Clifford algebra in n-dimensions, Dirac equation, Dirac Gamma matrices, Representation of a group, spin group, spin representation, Einstein field equations, Green’s function in n-dimensional space, group representations in image field processing.
Demographic and Clinical Characteristics of Refugee Children Utilizing Healthcare Services of Türkiye (2021-2022): A Single-Centre Study
Authors: Ercan Gözde , Kraft Colleen , Worthington Roger , Çetin Şadiye Elif , Göktaş Necibe Tuğçe , Bozköylü Nadire Ece , Polat Esra , Güven Şirin
Published: March 2024

BACKGROUND: The number of refugees in the world is increasing due to ongoing wars, political instability, violence, poverty and climate change. Türkiye has the world’s largest refugee population and half of the refugees are children. The aim of this study is to describe healthcare utilization patterns of the pediatric refugee population admitted to emergency, outpatient and inpatient services to enable hospitals to be better prepared to treat large numbers of refugee children.

METHODS: This was a retrospective observational study using data from medical records of refugee children who had visited the _University of Health Sciences Sancaktepe Training and Research Hospital_, Istanbul, in pediatric emergency, outpatient and inpatient services between 1 June 2021 and 1 June 2022.

RESULTS: 4383 refugee children including emergency (81.9%), outpatient (15.1%) and inpatient clinics (3%) were analyzed. The most frequently seen diseases for each service were upper respiratory infection and gastroenteritis in emergency; vitamin D deficiency and malnutrition in outpatient; lower respiratory infection, fever and intoxication in inpatient services. Most of the visits were non-urgent visits. COVID-19 disease was found in 1.3% of all children.

CONCLUSION: Up to now, there is little data available on the health status of these pediatric refugees. This study demonstrates that refugee children’s visits to the Emergency Department (ED) are an initial first step for accessing healthcare. Identifying the reasons for non-emergency ED use might provide additional insights and new approaches to help serve the healthcare needs of this vulnerable population.
EL ARBITRAJE FINANCIERO EN MÉXICO.RAZONES PARA SU MODIFICACIÓN INTEGRAL.
Authors: Rocha Núñez Eduardo
Published: March 2024

El arbitraje es el procedimiento idóneo para la resolución de controversias que se suscitan en las relaciones comerciales.  Su aceptación en México es cada vez mayor, principalmente en procedimientos arbitrales internacionales. Sin embargo, no sucede lo mismo en el ámbito interno a pesar de ser una figura que está debidamente  regulada en el Código de Comercio. Por otra parte, el sector financiero es el sector en el que resulta más evidente su carencia de efectividad. De acuerdo con los datos obtenidos de la Comisión Nacional para la Protección y Defensa de los Usuarios de Servicios Financieros, en 19 años de vida institucional únicamente ha conocido 73 procedimientos de arbitraje.  Esto evidencia que existe un serio problema de aplicación de procedimientos arbitrales en el sector financiero. El objetivo central de esta investigación es analizar las posibles causas de esa problemática: (i) la pertinencia del arbitraje para resolver asuntos de índole financiero; (ii) la conveniencia de que un organismo del Estado que funja como árbitro en procedimientos arbitrales de índole privado y, (iii) realizar un estudio sobre si es adecuada la regulación del procedimiento arbitral en la Ley de Protección y Defensa al Usuario de Servicios Financieros. Todo lo anterior con la finalidad de sentar las bases para una reforma integral del procedimiento arbitral en el ámbito financiero.
Decomposed Babassu stem promotes the initial development of Theobroma grandiflorum (Willd. ex Spreng.) Schum
Authors:   Universidade Federal do Maranhão, Pacheco Maurivan Barbosa , Silva-Matos Raissa Rachel Salustriano da ,   Universidade Federal do Maranhão, Barroso Vanessa Brito ,   Universidade Federal do Maranhão, Pereira Ramón Yuri Ferreira ,   Universidade Federal do Piauí, Ramos Dário de Sousa ,   Universidade Federal do Maranhão, Moraes Lídia Ferreira ,   Universidade Federal do Maranhão
Published: March 2024

The decomposed Babassu stem is a renewable organic material with physical and chemical properties suitable for the production of countless seedlings. Thus, the objective was to evaluate the use of substrates based on decomposed Babassu stems in the production of Cupuaçu seedlings. The experiment was conducted in a greenhouse in the municipality of Presidente Juscelino - MA. A completely randomized design was used with 6 treatments containing different proportions of Babassu decomposed stem (BDC). The biometric parameters of the Cupuaçu tree were evaluated. CBD significantly influenced the initial growth of the Cupuaçu tree. Plant height and stem diameter obtained the best results at 44.84% and 63.5% of CBD, respectively. Root length and root volume had the best results at 100% CBD. The plant height/root length ratio had its best performance at 0% CBD. It is concluded that the decomposed Babassu stem promotes the initial development of Cupuaçu seedlings.
ІННОВАЦІЙНІ МАРКЕТИНГОВІ СТРАТЕГІЇ СУЧАСНОГО УКРАЇНСЬКОГО ПІДПРИЄМСТВА
Authors: Носань Наталія
Published: March 2024

Стаття розглядає важливі аспекти впровадження інновацій у маркетингові стратегії українських підприємств. Висвітлюються ключові аспекти конкурентоспроможності та успіху бізнесу в умовах постійних змін, високої конкуренції та еволюції ринкового оточення. Досліджуються загальні поняття та визначення інноваційних маркетингових стратегій на підприємствах. Автор висвітлює сутність та основні компоненти інновацій, розглядає їх вплив на формування конкурентної переваги та сприяння розвитку бізнесу. Розглянуто конкретні інноваційні стратегії, адаптовані до умов українського ринку. Зокрема, вивчається використання цифрових технологій, соціального маркетингу, стратегій сталого розвитку та інші аспекти, які сприяють ефективній комунікації з аудиторією та позиціонуванню бренду. Досліджено важливість агільних підходів у маркетингу для забезпечення гнучкості та швидкості реакції на зміни в ринковому середовищі. Автор аналізує впровадження агільних методологій та швидких експериментів як ключових факторів успішної адаптації до нових тенденцій та випробування ідей. В статті визначено, що інноваційні маркетингові стратегії є необхідним елементом розвитку сучасних українських підприємств. Вони дозволяють не тільки виживати в умовах високої конкуренції, а й активно впливати на ринок та формувати його нові тренди. Ретельно обрані стратегії відкривають можливості для побудови стійких відносин з клієнтами, розширення ринкових можливостей та збільшення конкурентоспроможності.
Determining factors of user satisfaction in online payment platforms
Authors:   Universidad Autónoma de Tamaulipas, México, Salas Rubio María Inés , Hinojosa López Jessica Ivonne ,   Universidad Autónoma de San Luis Potosí, Rangel Lyne Lucirene ,   Universidad Autónoma de Tamaulipas
Published: March 2024

The objective of this study was to examine the factors influencing user satisfaction with digital payment methods in emerging contexts. Data were collected through 258 surveys conducted with Mexican users and were analyzed using multiple linear regression. The results indicate that security and privacy, customer service, convenient payment, and information quality are factors that determine user satisfaction with online payment methods. This research contributes to the analysis of user experiences of online payment services for the acquisition of products and services over the internet.
Recension Financial regulation of cryptoassets
Authors:   EAE Business School, López Jiménez David
Published: March 2024

Money, as it is traditionally known, is undergoing its own digital revolution. Time will show whether we are facing a true paradigm shift in the essence of money or just mere modifications in the supports of representation. If the latter is linked to trust, the essence of money is related to trust in the issuer and the social consensus for its use and extension. The arrival of cryptoassets in the financial system has been a recurring topic of discussion in recent years.
Information and ease of use of social commerce: Prerequisite of trust in consumers’ purchase intention
Authors:   Universidad Autónoma de Tamaulipas, México, Medina-Quintero José Melchor
Published: March 2024

Social commerce is the natural evolution of electronic commerce, in which some scientific studies have focused on analyzing the factors that impact consumers to make their purchases through the Internet. As such, the objective of this research is to determine the influence of the information posted on social media and the ease of use of social commerce technology, with the purpose of generating trust in the consumer's commercial operations as a precedent in their intention to purchase through the Internet. The proposed method is the administration of a questionnaire to 182 users of social commerce in the northeastern region of Mexico. The SmartPLS v4 software was used for inferential analysis. The main findings show that trust is essential in purchase intention. Likewise, the information quality is the main prerequisite for consumers to shop trusty social commerce.
#VaccinationVip. Approach to the study of corruption scandals on Twitter (now X)
Authors:   Universidad Nacional de Mar del Plata, Argentina, Juares Wanda , Zjlistra Estefanía ,   Universidad Nacional de Mar del Plata, Argentina
Published: March 2024

In February 2021, Argentina became embroiled in a political corruption scandal known as #VacunatorioVip, which emerged in the context of the covid-19 vaccination campaign. This commotion became a focal point of public debate and engagement on Twitter (now X), highlighting the intersection between political scandal, corruption, pandemic, and the role of Twitter as a digital public-media space. Taking this case, we propose to study how Twitter has transformed the dynamics of corruption scandals in the public sphere by studying internet users, narratives, and network topology. Using a mixed methodological approach that incorporates digital methodologies, we aim to contribute to the reflection on the impact of Twitter in shaping and amplifying corruption scandals.
The disruptive innovation of distributed electricity generation: a challenge for public administration in Mexico
Authors:   Universidad Autónoma de Chihuahua, México, Ollivier-Fierro Juan Óscar , Robles-Villa Jesús ,   Universidad Autónoma de Chihuahua, México, Flores-García Mauro Alberto ,   Universidad Autónoma de Chihuahua, México
Published: March 2024

Distributed generation (DG) is the generation of electricity, mostly photovoltaic, close to consumption centers by individual users in residences or companies, whose main objective is self-consumption. It is considered disruptive by breaking with the paradigm of centralized generation. The objective of this study was to analyse the trend, benefits and challenges that the penetration of this technology in Mexico implies for the public administration. A study with a quantitative approach, based on empirical data published by international organizations and the Mexican government, with the study subjects being the country and its 32 States. A significant penetration of DG was found in Mexico where it has had a compound annual growth rate of 45% in recent years, reaching an installed capacity of around 3 GW. Its geographical distribution in Mexico is heterogeneous and depends on the economic level of the State. The contribution that DG makes to the energy transition is important in environmental terms, it represents a saving of more than one million tons of CO2 per year and in economic terms a significant saving for the public administration in the area of electrical energy generation. The Mexican public administration faces a double challenge: on the one hand, stimulating DG to increase the generation of clean energy to comply with international commitments and on the other, achieving the flexibility required by the National Electric System for the integration of intermittent clean energies. such as photovoltaics.
HUBUNGAN STUNTING DENGAN OVERWEIGHT DAN RANGE OF MOTION (ROM) EKSTREMITAS BAWAH PADA BALITA
Authors: Pratiwi Witri , Dharmansyah Mohamad Irwan , Qolbi Zeha Nur
Published: March 2024

Stunting merupakan gangguan pertumbuhan linier pada bayi dan anak yang dapat mempengaruhi berat badan berlebih dan keterbatasan gerak sendi. Penelitian ini bertujuan untuk menganalisis hubungan antara stunting dengan berat badan berlebih dan obesitas serta terbatasnya Range of Motion (ROM) pada balita. Penelitian potong lintang dilakukan pada balita. Data primer dikumpulkan melalui pemeriksaan fisik untuk berat badan, tinggi badan dan ROM pasif. Data dianalisis menggunakan uji Fisher dengan batas signifikansi 0,05. Terdapat 120 balita mengikuti penelitian ini, terdiri dari 47,5% laki-laki dan 52,5% perempuan. Proporsi gizi lebih dan obesitas sebesar 15% sedangkan stunting sebesar 35%. Tidak didapatkan hubungan yang signifikan antara stunting dan status gizi berlebih (p=0,288; POR= 0,481; 95%CI 0,148–1.568). Didapatkan hubungan antara stunting dengan terbatasnya ROM pada sendi panggul untuk gerakan fleksi [p<0,0001; POR 9,37 (95%CI 3,95–22,21)], abduksi [p<0,0001; POR 7,77 (95%CI 3,23–18,69)] dan adduksi [p<0,001; POR 4,78 (95%CI 2.14–10.70)]. Didapatkan pula hubungan antara stunting dengan terbatasnya ROM pada fleksi lutut [p<0,0001; POR 10,16 (95%CI 4,09–25,28)], dorsofleksi [p<0,0001; POR 5,95 (95%CI 2,29–15,438)] dan plantarfleksi [p<0,0001; POR 5,32 (95%CI 2,32–12,22)]. Balita stunting mengalami keterbatasan ROM pada ekstremitas bawah. Rehabilitasi medis perlu dilakukan pada balita stunting agar mengembalikan fungsi gerakan sendi secara optimal.