bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing a New Model for Achieving Flow State in STEAM Education: A Mixed-Method Investigation
Authors: Hamash Mahmoud Abed , Mohamed Hasnah , Tiernan Peter
Published: September 2024

The flow state is a mental state in which a person is fully immersed in an activity and experiences a sense of energized focus, full involvement, and enjoyment. It is a highly desirable state for learning, as it allows students to be more engaged and productive. However, achieving the flow state can be challenging, and there is no single method guaranteed to achieve all the conditions of this state. Additionally, this study argues that achieving the flow state is advantageous in STEAM education because it has the potential to increase student engagement and motivation, improve learning outcomes, promote creativity and problem-solving skills, and develop 21st-century skills such as collaboration and critical thinking. Therefore, this study aims to develop a new framework for achieving the flow state in STEAM education by investigating the implementation of a combined approach using impactful technology (ITU) and gamification (IGU). The framework combines impactful technology use (ITU) and impactful gamification use (IGU) to create activities that are challenging, have clear goals, provide immediate feedback, and promote action-awareness merging. A concurrent triangulation mixed-methodology research design was used, with data collected from teachers, students, and parents through questionnaires, interviews, and observations. The researcher used purposive sampling to determine the sample, which consisted of eighty-nine teachers, ten students, ten parents, and ten lesson observations. The study is significant because it is the first to propose a new model for achieving the flow state in STEAM education. The findings were used to develop the New Combined Flow Framework (NCFF), which supports achieving the conditions for the flow state in STEAM learning through the combined use of ITU and IGU. This new framework can be used by education professionals to practically achieve the flow state in STEAM classes. By understanding how to achieve the flow state, educators can create more engaging and effective learning experiences for their students, potentially revolutionizing STEAM education and making it more accessible to all students.
Optimum Size and Heat Transfer and Velocity Correlations of the Outer and Inner Surfaces of Vertical Hollow Polygonal Cylinders in Natural Convection
Authors: Kalendar Abdulrahim , Sherif S. A. , Altwijri Faisal
Published: September 2024

Laminar natural convection heat transfer from vertical hollow polygonal cylinders with a wide range of cross-sectional areas is investigated. The buoyancy-driven three-dimensional (3D) flow around hollow polygonal cylinders immersed in quiescent ambient air with equal outer and inner surface temperatures is analyzed. The governing equations are numerically solved in nondimensional variables using the finite volume method. The numerical solution is validated using available experimental and numerical data. Results of the mean Nusselt number for the outer (Nu¯ho) and inner (Nu¯hi) surfaces are obtained by varying a number of key parameters. These parameters are the Rayleigh number based on the cylinder height (Rah) in the range 103≤ Rah≤ 107, the nondimensional cross-sectional area (AC) in the range 0.006 ≤ AC≤ 0.5, and the number of sides of the polygon (N) in the range 6 ≤ N ≤∞. In all cases, a Prandtl number (Pr) of 0.7 has been assumed. The study shows that at a certain Rayleigh number and a certain number of sides, the heat transfer rate from the inner surface decreases (by as much as 79.8%) as the polygon area decreases (by as much as 83.32%), whereas the heat transfer rate on the outer surface increases (by as much as 133.3%) as the polygon area decreases (by as much as 83.32%). It has also been found that the behavior of the buoyancy-driven flow in the vicinity of the outer surface is fundamentally different than that near the inner surface. Additional details about this fundamental difference are presented in the Results and Discussion section of the paper. New correlations to calculate the average velocity at the exit surface of the cylinder inner core and the mean Nusselt number for both the outer and inner surfaces have also been developed. Also, correlations have been developed for selecting the optimal cross-sectional area for purposes of identifying the regions where the thermal and velocity boundary layers overlap within the inner core of the cylinder.
Multi-Split Configuration Design for Fluid-Based Thermal Management Systems
Authors: Bayat Saeid , Shahmansouri Nastaran , Peddada Satya R. T. , Tessier Alexander , Butscher Adrian , Allison James T.
Published: September 2024

High power density systems require efficient cooling to maintain their thermal performance. Despite this, as systems get larger and more complex, human expertise and insight may not suffice to determine the desired thermal management system designs. To this end, a framework for automatic architecture exploration is presented in this article for a class of single-phase, multi-split cooling systems. For this class of systems, heat generation devices are clustered based on their spatial information, and flow splits are added only when required and at the location of heat devices. To generate different architectures, candidate architectures are represented as graphs. From these graphs, dynamic physics models are created automatically using a graph-based thermal modeling framework. Then, an optimal fluid flow distribution problem is solved by addressing temperature constraints in the presence of exogenous heat loads to achieve optimal performance. The focus in this work is on the design of general multi-split heat management systems. The methods presented here can be used for diverse applications in the domain of configuration design. The multi-split algorithm can produce configurations where splitting can occur at any of the vertices. The results presented include three categories of problems and are discussed in detail.
Product Design Incorporating Competition Relations: A Network-Based Design Framework Considering Local Dependencies
Authors: Xiao Yinshuang , Cui Yaxin , Koskinen Johan , Contractor Noshir , Chen Wei , Sha Zhenghui
Published: September 2024

System design has been facing the challenges of incorporating complex dependencies between individual entities into design formulations. For example, while the decision-based design framework successfully integrated customer preference modeling into optimal design, the problem was formulated from a single entity’s perspective, and the competition between multiple enterprises was not considered in the formulation. Network science has offered several solutions for studying interdependencies in various system contexts. However, efforts have primarily focused on analysis (i.e., the forward problem). The inverse problem still remains: How can we achieve the desired system-level performance by promoting the formation of targeted relations among local entities? In this study, we answer this question by developing a network-based design framework. This framework uses network representations to characterize and capture dependencies and relations between individual entities in complex systems and integrate these representations into design formulations to find optimal decisions for the desired performance of a system. To demonstrate its utility, we applied this framework to the design for market systems with a case study on vacuum cleaners. The objective is to increase the sales of a vacuum cleaner or its market share by optimizing its design attributes, such as suction power and weight, with the consideration of market competition relations, such as inter-brand triadic competition involving three products from different brands. We solve this problem by integrating an exponential random graph model (ERGM) with a genetic algorithm. The results indicate that the new designs, which consider market competition, can effectively increase the purchase frequency of specific vacuum cleaner models and the proposed network-based design method outperforms traditional design optimization.
Thoughtful prescription of inhaled medication has the potential to reduce inhaler-related greenhouse gas emissions by 85%
Authors: Vartiainen Ville , Woodcock Ashley A , Wilkinson Alex , Janson Christer , Björnsdóttir Unnur , Haahtela Tari , Lehtimäki Lauri
Published: September 2024

Introduction

Both physicians and patients are increasingly aware of the environmental impacts of medication. The shift of treatment paradigm towards MART-treatment (Maintenance and Reliever Therapy) in asthma affects the treatment-related emissions. The carbon footprint of inhaled medication is also tied to the type of the device used. Today the most commonly used propellant-containing pressurised metered-dose inhalers (pMDIs) have a carbon footprint typically 20–40-fold higher than propellant-free dry powder inhalers (DPIs) and soft mist inhalers.

Methods

We analysed the carbon footprint of inhaled medications in Europe using published life cycle analyses of marketed inhalers and comprehensive 2020 European sales data. In addition, we give an estimate on treatment-related emissions of different treatment regimens on Global Initiative for Asthma (GINA) step 2.

Results

There is potential to reduce the carbon footprint of inhaled medications by 85% if DPIs are preferred over pMDIs. Emissions from pMDIs in the EU were estimated to be 4.0 megatons of carbon dioxide equivalent (MT CO2e) and this could be reduced to 0.6 MT CO2e if DPIs were used instead. In the treatment of moderate asthma with DPI, an as-needed combination of inhaled corticosteroid and long-acting beta-agonist in a single inhaler had a substantially lower annual carbon footprint (0.8 kg CO2e) than the more traditional maintenance therapy with an inhaled corticosteroid alone with as-needed short-acting beta-agonist (2.9 kg CO2e).

Discussion

There has been an urgent call for healthcare to reduce its carbon footprint for appropriate patients with asthma and chronic obstructive pulmonary disease (COPD), changing to non-propellant inhalers can reduce the carbon footprint of their treatment by almost 20-fold.
Understanding facilitators and barriers to oxygen therapy for patients with interstitial lung disease
Authors: Sharpe Heather , Rowland Samira D , Pooler Charlotte , Ferrara Giovanni , Johannson Kerri A , Kalluri Meena , Mayers Irvin , Stickland Michael K
Published: September 2024

Background

Interstitial lung disease (ILD) is comprised of a heterogeneous group of pulmonary diseases. Oxygen therapy is used in patients with advanced lung disease; however, there are challenges associated with initiation of oxygen therapy specific to individuals with ILD. The key objectives of this study were to create a common understanding of the facilitators and barriers to oxygen therapy for patients with ILD, and healthcare professionals (HCP) caring for patients with ILD.

Methods

This qualitative study included 1 hour semistructured focus groups/interviews. An iterative and concurrent process was used for data collection and analysis to allow for supplementary development of themes and concepts generated. Data analysis used a three-phase approach: coding, categorising and development of themes.

Results

A total of 20 patients and/or caregivers and 31 HCP took part in 34 focus groups/interviews held over 3 months (November 2022–January 2023). Facilitators to oxygen therapy were identified including support from HCP and support groups, the perseverance and self-advocacy of patients, a straightforward administrative process and vendors/private industry that expedite access to oxygen therapy. There were also several barriers to accessing oxygen therapy for patients with ILD. The themes identified include rural disparity, testing requirements and qualifying for funding and the need for ILD-specific evidence base for oxygen therapy.

Conclusion

Further research is needed to facilitate development of specific exertional oxygen criteria for patients with ILD, to create supports for oxygen use and monitoring and to enable providers to tailor therapy to patients. Oxygen therapy education for ILD should address the benefits and risks of oxygen therapy.
B-meson production at forward rapidities in pp collisions at the LHC: estimating the intrinsic bottom contribution
Authors: Lima Yuri N. , Giannini André V. , Gonçalves Victor P.
Published: September 2024

The production of B mesons at forward rapidities is strongly sensitive to the behavior of the gluon and bottom distribution functions for small and large values of the Bjorken-x variable. In this exploratory study, we estimate the cross-section for the $$B^{\pm }$$

B
±

meson production in the kinematic range probed by the LHCb detector and that will be analyzed by the future Forward Physics Facility (FPF) considering the hybrid formalism, the solution of the running coupling Balitsky–Kovchegov equation and distinct descriptions for the bottom distribution function. We assume an ansatz for the intrinsic bottom component in the proton wave function, and estimate its impact on the transverse momentum, rapidity and Feynman-x distributions. Our results indicate that the presence of an intrinsic bottom strongly modifies the magnitude of the cross-section at ultra-forward rapidities ($$y \ge 6$$

y
≥
6

), which implies an enhancement of the $$B^{\pm }$$

B
±

production at the FPF. Possible implications on the prompt neutrino flux at ultra-high energies are also briefly discussed.
A Hybrid Prototype Method Combining Physical Models and Generative Artificial Intelligence to Support Creativity in Conceptual Design
Authors: Zhang Hongbo , Chen Pei , Xie Xuelong , Jiang Zhaoqu , Zhou Zihong , Sun Lingyun
Published: September 2024

Conceptual design is an essential stage in the design process, and its ultimate success largely depends on designers’ creativity. Both physical and digital prototypes are commonly adopted by designers to support ideation and creativity, providing intuitive perception and rapid iteration, respectively. In recent advancements, large-scale generation models are able to offer data-enabled creativity support by generating high-quality solutions comparable to human designers. This opens up an imaginary space for designers and brings new possibilities for design tools. In this study, we proposed a hybrid prototype method that synergistically combines physical models and generative artificial intelligence (AI) in the conceptual design stage. Correspondingly, we developed a hybrid prototype system to implement the proposed method. We conducted a comparative user study with 45 designers who completed a design task using the physical prototype method, standalone generative AI and the hybrid prototype method, respectively. Our results verified the effectiveness of the hybrid prototype method and investigated its mechanism in supporting creativity. Finally, we discussed the application value and optimisation space of the hybrid prototype method.
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
Authors: Liu Ji , Jia Juncheng , Zhang Hong , Yun Yuhui , Wang Leye , Zhou Yang , Dai Huaiyu , Dou Dejing
Published: September 2024

Despite achieving remarkable performance, Federated Learning (FL) encounters two important problems, i.e., low training efficiency and limited computational resources. In this article, we propose a new FL framework, i.e., FedDUMAP, with three original contributions, to leverage the shared insensitive data on the server in addition to the distributed data in edge devices so as to efficiently train a global model. First, we propose a simple dynamic server update algorithm, which takes advantage of the shared insensitive data on the server while dynamically adjusting the update steps on the server in order to speed up the convergence and improve the accuracy. Second, we propose an adaptive optimization method with the dynamic server update algorithm to exploit the global momentum on the server and each local device for superior accuracy. Third, we develop a layer-adaptive model pruning method to carry out specific pruning operations, which is adapted to the diverse features of each layer so as to attain an excellent tradeoff between effectiveness and efficiency. Our proposed FL model, FedDUMAP, combines the three original techniques and has a significantly better performance compared with baseline approaches in terms of efficiency (up to 16.9 times faster), accuracy (up to 20.4% higher), and computational cost (up to 62.6% smaller).
Determinantal Point Processes Guided Crowd-wise Mixture-of-Experts for Recommendation in Alipay
Authors: Li Youru , Zhu Zhenfeng , Chen Shaohu , Shen Kaiming , Zhang Xingxing , Zhong Wenliang , Zhao Yao
Published: September 2024

Facing the challenges of sparsity and long tail in thousands of Mini-apps recommendation scenarios deployed on Alipay platform, there is a great need for a simple, effective, and easy-to-deploy industrial solution. To address this issue, we follow the strategy of “divide and conquer” and propose a crowd-based recommendation model by using
D
eterminantal
P
oint
P
rocesse
s
on
C
rowd-wise
M
ixture-
o
f-
E
xperts (DPPs-CMoE). Specifically, under the guidance of DPPs-based prototypical tags, the user profiling space is sequentially divided into multiple crowds, with each of them taking on a unique latent specificity; Meanwhile, by treating the modeling of crowd specificity as one of multiple tasks, a crowd-wise architecture is adopted to seamlessly unify the multiple expert networks from the overall user space and the gating network from each of independent crowd spaces. The effectiveness of the proposed method has been illustrated in the experimental results on a mini-apps recommendation scenario deployed in Alipay APPs.
Computed Tomography Findings of Patients Presenting With Headache: 4‐Year Retrospective Two‐Center Study in Central and Western Regions of Ghana
Authors: Jimah Bashiru Babatunde , Sarkodie Benjamin Dabo , Offei Asare Kwaku , Idun Ewurama Andam , Anim Dorothea , Brakohiapa Edmund , Botwe Benard Ohene
Published: September 2024

Objectives: The radiographic assessment of the head is a crucial part of headache care. A computed tomography (CT) scan enables a more detailed analysis of the condition and more focused care. This study examined head CT scans to determine what kinds of anomalies were present in patients with headaches as their primary complaint.

Methods: We evaluated 4 years’ worth of CT scan data from head exams conducted at two diagnostic facilities in Ghana’s western and central regions. We examined data on 477 patients with a headache as their primary complaint between January 2017 and December 2020. We employed chi‐square and Fisher’s exact tests (where applicable) to compare head CT diagnoses between age groups, gender, headache subtypes, and brain lesion subgroups.

Results: There were 53.5% (n = 255) females and 46.5% (n = 222) males in the study. The average age of patients was 38.67 ± 17.23 years, with an annual rate of abnormal CT diagnoses ranging from 35.9% in 2017 to 45.4% in 2022. Abnormal head CT diagnoses are strongly correlated with age groups and patient gender (p = 0.011 and p = 0.009, respectively). Of the 202 patients, 15.3% and 24.3% were classified as intracranial lesions and extracranial lesions, respectively. Maxillary sinusitis affected nearly 60% of the patients, while tumors and hemorrhages affected 25.2% and 11.9%, respectively.

Conclusions: A CT scan of the head is essential to detect abnormalities in nearly 50% of patients suffering from various degrees of headache. Sinusitis, brain tumors, and hemorrhage were common lesions detected. It is crucial to create local standard operating procedures to promote better utilization of this type of imaging service, particularly among patients who have been diagnosed with headaches.
Synthesis of Silver and Zinc Oxide Nanoparticles Using Polystichum lentum Extract for the Potential Antibacterial, Antioxidant, and Anticancer Activities
Authors: Shrestha Deepak Kumar , Magar Akash Budha , Bhusal Manisha , Baraili Rabina , Pathak Ishwor , Joshi Pusp Raj , Parajuli Niranjan , Sharma Khaga Raj
Published: September 2024

The present research involves a green synthesis of silver and zinc oxide nanoparticles using an aqueous extract of Polystichum lentum and a comparison of bioactivities. Phenolics, flavonoids, alkaloids, steroids, and saponins were present in the aqueous extract. The highest TPC and TFC were found in ethanol extract with 124.93 ± 9.36 mg GAE/g and 28.73 ± 1.98 mg QE/g. The formation of Ag and ZnO NPs was confirmed by the appearance of peaks at 421 nm and 362 nm in UV‐visible spectra. The involvement of plant secondary metabolites in nanoparticle synthesis was indicated by the shifts in peak positions and peak intensities in FTIR spectra. SEM and XRD analyses established spherical morphology (average size 61.33 ± 15.31 nm) and FCC crystal structure for Ag NPs and hexagonal to round morphology (average size 97.20 ± 12.92 nm) and hexagonal wurtzite crystal structure for ZnO NPs. EDX analysis revealed the elemental composition of nanoparticles. The IC50 values of 51.95 ± 3.11 and 83.79 ± 6.63 μg/mL for Ag NPs and ZnO NPs in the DPPH assay were significantly higher than 32.07 ± 1.03 and 6.53 ± 1.57 μg/mL for aqueous and methanol extracts. ZnO nanoparticles showed comparatively higher ZOI of 14 and 16 mm against Shigella sonnei and Klebsiella pneumoniae. It also displayed the lowest MIC and MBC of 3.125 and 6.25 mg/mL against Staphylococcus aureus and Klebsiella pneumoniae. The nanoparticles also exhibit potent cytotoxicity with IC50 of 76.82 ± 1.67 μg/mL against cervical cancer cell lines. Both nanoparticles and aqueous extract were mildly toxic towards the brine shrimp nauplii with the lowest LC50 being 661.80 ± 64.21 μg/mL for the aqueous extract. In conclusion, the findings of the present study demonstrate the high antioxidant, antibacterial, and anticancer activities in Ag and ZnO nanoparticles synthesized using an aqueous extract of Polystichum lentum.
Optimization of Organic Acid Concentrations in Calcium Gluconate–Enriched Cola Soft Drink Using Response Surface Methodology
Authors: Hussain Majid , Mehmood Maria , Azam Muhammad , Saeed Muhammad , AL Farga Ammar , Zaidalkilani Ayah Talal , Razzaq Waqas , Madilo Felix Kwashie
Published: September 2024

The research is aimed at addressing concerns regarding the health implications of increased cola consumption by developing a healthier alternative. This was achieved by replacing phosphoric acid with organic acidulants (citric acid (CA), lactic acid (LA), and tartaric acid (TA)) and enriching the drink with calcium gluconate salt. Response surface methodology (RSM) was employed as a statistical optimization tool to ensure the formulation met predefined criteria for physicochemical and sensory parameters. The optimized cola drink formulation consisted of 0.07% CA, 0.05% TA, and 0.04% LA, along with calcium gluconate. The physicochemical analysis revealed a pH of 3.36, an acidity of 7.72%, a reducing sugar (glucose) content of 4.46%, and a Brix value of 12.7°. Sensory evaluation indicated high overall acceptability with a hedonic score of 7.08, suggesting that the optimized cola drink with improved qualitative characteristics could serve as a desirable option for consumers seeking healthier beverage choices. Further studies could explore its long‐term health effects and market feasibility.
Synthesis and Characterization of Iodinated Chitosan Nanoparticles and Their Effects on Cancer Cells
Authors: Alvarado Tenorio Germán , Espinosa Neira Roberto , Ávila Orta Carlos Alberto , Romero Zúñiga Gabriela Yolotzín , Ortega Ortiz Hortensia
Published: September 2024

The high degree of chemical modification of the chitosan chains due to protonated amine groups allows them to react with many negatively charged surfaces as anionic polymers and cell membranes, resulting in an attractive material for medical and pharmaceutics applications. Incorporating ionic iodine (I− and ) on chitosan chains is a direct way to successfully obtain chitosan‐iodine nanoparticles (CSNPs‐I and CSNPs‐IO3) through ionic gelation. The nanoparticles (NPs) present a hemispherical morphology with sizes around 30–70 nm for CSNPs‐I and CSNPs‐IO3, similar to chitosan NPs, in accordance with SEM and DLS techniques. The XRD characterization did not show noticeable differences in the crystallinity index (CI) for CSNPs and CSNPs‐I, 48.4 and 49.3%, respectively, but for CSNPs‐IO3, the CI decreased to 43.85%. The cytotoxic effects on human tumor cells of chitosan and iodine‐modified chitosan nanoparticles (CSNPs‐I and CSNPs‐IO3) were evaluated for 24 h in a range from 0.15 mg/mL to 0.95 mg/mL concentrations, where CSNPs‐IO3 presented the lower viability for lung cancer A549, followed by cervical cancer HeLa cell and finally breast cancer MDA‐MB‐231, with a weight content of iodate ion in a range of 8.7 to 15 μg. This work presents the possibility of exploring chitosan‐iodine NPs in medical applications.
The Influence of Coal Lithotype and Metamorphism on the Development Characteristics of Pore and Fracture in Coalbed Methane Reservoir in Ordos Basin and Qinshui Basin
Authors: Wang Zihao , Gong Kaipeng , Chen Jiaming , Zhou Keyu , Xu Shaobo , Lu Jun , Hu Jinghong , Cai Yidong
Published: September 2024

To study the characteristics of pores and fractures development in coalbed methane reservoir controlled by coal lithotype and metamorphism, a total of 26 coals from 16 coal mines in the Ordos Basin and Qinshui Basin were tested for kerogenic components, scanning electron microscopy, mercury intrusion experiments, low‐temperature nitrogen adsorption experiments, and Fourier transform infrared spectroscopy, which summarized and analyzed the coal lithotype and metamorphism constraints on the development of pores and fractures and came to the following conclusions: At the early stage of coalification, with the aliphatic hydrocarbon chains in coals are gradually shortened, and the branched chains and oxygen‐containing functional groups are continuously shed and reduced, resulting in asphaltenes filling the pores, which leads to an overall decrease in the porosity of coal and an increase in the inhomogeneity of the pore structure; at the transition stage of coals to high maturity, asphaltenes in coal are gradually reduced, the filling effect is reduced, aromatic lamellae are continuously oriented, and aromatic rings are continuously condensed. In the transition stage of coal to high maturity, the filling effect decreases, the aromatic lamellae keep orienting and arranging, and the aromatic rings keep condensing, which makes the porosity, pore volume, and specific surface area of coal rebound, and the nonhomogeneity of pore structure weakens; the density of microfracture decreases with the increase of coal rank, which may be the effect of compaction and asphaltene effect; the mirror group in coal is favorable to the development of pore fracture, while the inert group is opposite; the density of microfracture is positively correlated with the content of vitrite and vitrinertite, and negatively correlated with the content of inertite. The higher the content, especially the content of microscopic coal, the more developed the microfractures.
A Pilot and Feasibility Study of Continuous Cardiac Output and Blood Pressure Monitoring during Intermittent Hemodialysis
Authors: Spano Sofia , Maeda Akinori , Lam Joey , Chaba Anis , Phongphithakchai Atthaphong , Pattamin Nuttapol , Hikasa Yukiko , See Emily , Mount Peter , Bellomo Rinaldo
Published: September 2024

Introduction: Hypotension is common during intermittent hemodialysis (IHD) and may be due to a decreased cardiac index (CI). However, no study has simultaneously and continuously measured CI and mean arterial pressure (MAP) to understand the prevalence, severity, and duration of CI decreases or relate them to MAP, blood volume (BV) and net ultrafiltration (NUF) rate.
Methods: In a prospective, pilot and feasibility investigation, we studied 10 chronic IHD patients. We used the ClearSight System™ to continuously monitor CI and MAP; the CRIT-LINE®IV monitor to detect BV changes and collected data on NUF rate.
Results: Device tolerance and compliance was 100%. All patients experienced at least ≥ 1 episode of severe CI decrease (> 25% from baseline), with a median duration of 24 minutes [IQR 6-87] and of 68 minutes [14-106] for moderate decreases (>15% but  25% from baseline). Eight patients experienced a low CI state (<2.2 L/min/m2). The lowest CI was 0.9 L/min/m2 with a concomitant MAP of 94 mmHg. When the fall in CI was severe, MAP increased in 58% of cases and remained stable in 28%. Overall, CI decreased by -0.55 L/min/m2 when BV decrease was moderate vs mild (p<0.001) and by -0.8 L/min/m2 when NUF rate was high vs low (p<0.001).
Conclusion: Continuous CI monitoring is feasible in IHD and shows frequent moderate-severe CI decreases, sometimes to low CI state levels. Such decreases are typically associated with markers of decreased intravascular volume status but not with a decrease in MAP, implying marked vasoconstriction.
Desafios e impasses na clínica com o autismo: uma leitura psicanalítica
Authors: Lins Emanuella Oliveira Diniz , Nóbrega Karynna Magalhães Barros da
Published: September 2024

Cet article décrit la clinique de l’autisme du point de vue psychanalytique, en passant par les considérations sur la structure autistique et son engagement envers la singularité de ces sujets, pariant cliniquement sur la forme unique car, un par un, ils trouveront des moyens possibles de créer des liens avec les autres. Nous étudions comment le bord autistique et ses éléments (le double, l’objet autistique et les îlots de compétence) sont importants pour la constitution d’un lien social possible pour chaque sujet autiste. Enfin, nous analysons, en vue de l’orientation du traitement psychanalytique, qui parie sur le sujet et ses inventions singulières, l’incompatibilité éthique et politique de celui-ci, avec la commercialisation de traitements visant à la « guérison » de l’autisme et à la médicalisation précoce dans l’enfance, en particulier les enfants autistes.
Feminino, feminilidade e relação mãe-filha em psicanálise a partir da literatura de Elena Ferrante
Authors: Martins Júlia Sardinha Leonardo Lopes , Oliveira Flavia Lana Garcia de , Costa Carlos Alberto Ribeiro
Published: September 2024

O presente artigo busca explorar a incidência da feminilidade (Weiblichkeit), a elaboração da sexualidade feminina (Weiblichsexualität) e a ambivalência afetiva nas relações primárias relação mãe e filha. Para tal, lançará mão das teorizações freudianas a partir da teoria da clínica psicanalítica e de uma interlocução com um romance da escritora italiana Elena Ferrante. Primeiramente, será trabalhada a lógica do inconsciente, assim como a pertinência da clínica e de possíveis incursões na literatura para apreensão de conceitos fundamentais da teoria psicanalítica. Em seguida, serão abordados marcadores mais precisos da constituição feminina, enfatizando a configuração afetiva que caracteriza o funcionamento pré-edípico. Ao longo destes desdobramentos, serão apresentados fragmentos da literatura mencionada que podem lançar luz sobre os impasses da relação mãe e filha, destacando o valor de aplicação clínica das passagens.
Uma abordagem discursiva das estratégias de legitimação do telejornalismo
Authors: Schwartz Clarissa , Barichello Eugenia Mariano da Rocha
Published: September 2024

Este artigo discute os processos de legitimação do telejornalismo brasileiro a partir da identificação e análise de estratégias discursivas acionadas pelo Jornal Nacional, exibido pela Rede Globo. Tendo como objetivo investigar como os acontecimentos reportados pelo telejornal incidem sobre as estratégias discursivas de legitimação desenvolvidas nas coberturas, três acontecimentos jornalísticos foram selecionados para análise: rompimento de barragens em Brumadinho, aumento de queimadas na Amazônia e pandemia de covid-19. A investigação tem como base teórico-metodológica a análise do discurso em três níveis – situacional, discursivo e semiolinguístico, – proposta por Charaudeau. As principais estratégias discursivas de legitimação identificadas foram autorreferencialidade, apropriação de conteúdos amadores, instantaneidade e didaticidade, sendo sua operacionalização influenciada pela complexidade do nível situacional de cada acontecimento, entendido como um espaço de coerções.
Hesperis oznur-duraniae (Brassicaceae), a new species from the East Anatolia region, Turkey
Authors: DURAN AHMET
Published: September 2024

A new species of Hesperis L. is described from East Anatolia. This species has been collected from Yolçatı village (Bingöl province) in Turkey. Hesperis oznur-duraniae A.Duran sp. nova is morphologically similar to H. kitiana P.H.Davis but it differs mainly with life form, habitat, leaves, pedicels, sepals, petals, and anthers. In this study, an identification key with a description of the new species is provided along with statements about the habitat, distribution map, phenology, and conservation status of the new species. Additionally, seed features are also documented using scanning electron microscopy (SEM).
Pompeiu-Hausdorff Fuzzy b-metric Spaces Are Associated with a Common Fixed Point and Multivalued Mappings
Authors: Makran Noreddine
Published: September 2024

The notion of fuzzy logic was introduced by Zadeh. Unlike traditional logic theory, where an element either belongs to the set or does not, in fuzzy logic, the affiliation of the element to the set is expressed as a number from the interval [0, 1]. The study of the theory of fuzzy sets was prompted by the presence of uncertainty as an essential part of real-world problems, leading Zadeh to address the problem of indeterminacy. The theory of a fixed point in fuzzy metric spaces can be viewed in different ways, one of which involves the use of fuzzy logic. Fuzzy metric spaces, which are specific types of topological spaces with pleasing ”geometric” characteristics, possess a number of appealing properties and are commonly used in both pure and applied sciences. Metric spaces and their various generalizations frequently occur in computer science applications. For this reason, a new space called a Pompeiu-Hausdorff fuzzy b-metric space is constructed in this paper. In this space, some new fixed point results are also formulated and proven. Additionally, a general common fixed point theorem for a pair of multi-valued mappings in Pompeiu-Hausdorff fuzzy b-metric spaces is investigated. The findings obtained in fuzzy metric spaces, such as those discussed in Remark 3.1, are generalized by the results in this paper, and additional specific findings are produced and supported by examples. The study of denotational semantics and their applications in control theory using fuzzy b-metric spaces and Pompeiu-Hausdorff fuzzy b-metric spaces will be an important next step.
Effect of Poultry Manure and NPK (15: 15: 15) Fertilizer on The Growth and Yield of Tomato (Lycopersicon esculentum L.)
Authors: Ola Obabire
Published: September 2024

Agricultural practices such as the application of organic and inorganic fertilizers play a crucial role in enhancing crop productivity. The impact of poultry manure and NPK (15:15:15) fertilizer on the growth and yield of tomato (Lycopersicon esculentum L.) was examined in Owo, South Western Nigeria. This study employed a randomized complete block design (RCBD) with three treatments (No manure as control, NPK (15:15:15) at 200 kg/ha, and poultry manure at 2.5 t/ha) allocated randomly across plots using balloting methods, each replicated thrice. Seedlings were spaced at 30 x 60 cm, resulting in a total of 108 stands across nine plots. Various parameters including plant height, stem girth, number of leaves, number of flowers, number of fruits, and fruit weight were assessed through statistical analysis. Results showed that poultry manure significantly enhanced vegetative growth parameters such as plant height, leaf number, and leaf area compared to the control. At 2, 4, and 6 weeks after transplanting (WAT), poultry manure consistently outperformed NPK in terms of plant height and leaf area. However, NPK showed a superior number of flowers and fruit yield, highlighting its rapid nutrient release and immediate availability. Despite NPK's effectiveness, the overall yield attributes of poultry manure were comparable, suggesting its potential as a sustainable alternative due to its soil-enriching properties and long-term benefits. This study underscores the importance of integrating organic and inorganic fertilizers to optimize tomato yield and soil health, advocating for further research into the economic and long-term impacts of organic fertilization in tropical agriculture.
Factors Affecting Health Research Utilization Among Health Professionals in Nigeria
Authors: Avwerhota Michael , Daniel Ebenezer , Avwerhota Oladayo , Popoola Israel , Popoola Taiwo , Ogun Adebanke , Bello Ahmed , Tomori Michael , Salami Aisha , Ekwuluo Celestine , Alewi Olukayode , Janet Aremu
Published: September 2024

The utilization of health research in clinical practice is hindered by individual, organizational, and systemic barriers, including insufficient research literacy and unsupportive organizational cultures. Enhancing research literacy, fostering supportive environments, and implementing evidence-based policies are crucial for bridging the gap between research and practice, ultimately improving patient outcomes. This study investigates the factors affecting health research utilization among health professionals in Nigeria, an essential aspect for advancing healthcare systems and patient outcomes. Utilizing a cross-sectional descriptive design, data were collected via an online survey distributed to public health professionals and policymakers. The survey explored demographics, research utilization, dissemination effectiveness, barriers, and recommendations for improvement. Key findings indicate significant demographic disparities, with a higher proportion of younger and non-public health degree holders reporting unused research findings. The study identified major barriers, including inadequate communication, poor dissemination practices, and lack of access to research findings. Despite 87.6% of respondents conducting potentially impactful research, only 13.6% reported actual utilization of their findings. The recommendations for improvement emphasized the role of knowledge brokers, fostering research-attuned and decision-relevant cultures, enhancing communication and interaction between researchers and users, and building capacity among all stakeholders. Additionally, establishing effective dissemination systems, securing funding, and promoting international collaboration were highlighted as critical strategies. The study underscores the necessity of addressing structural, cultural, and communicative barriers to improve the practical application of health research in Nigeria, aligning with global trends and literature advocating for a multifaceted approach to enhance health outcomes.
IgG4 Sclerosing Cholangitis: Entity Rarely Described in Children
Authors: Sabbahia Dalal , Msaaf Halima , Atrassi Meriem , Moukhlis Sara , Bennani Nissrine , Abkari Abdelhak
Published: September 2024

IgG4-related sclerosing cholangitis (IgG4-SC) is known in the adult patients as a steroid-responsive biliary disease, frequently associated with autoimmune pancreatitis; The diagnosis of IgG4-SC may be difficult to differentiate from primary sclerosing cholangitis (PSC) or cholangiocarcinoma; This entity is been described in the absence of pancreatic implication. It is defined by high level of serum IgG4 in contrast to primary sclerosing cholangitis. It’is morphologically characterized by dense lymphoplasmacellular infiltration, particularly IgG4+ plasma cells and CD4+ T cells and extensive fibrosis in bile duct. In patients with IgG4-related sclerosing cholangitis, response to steroid therapy is high; in patients with PSC corticosteroid therapy is unsuccessful. An Early recognition of IgG4-SC can save patients from potential harmful and unnecessary surgical interventions. In the literature, cholangiocarcinoma in patients with IgG4- related sclerosing cholangitis was not described, whereas cholangiocarcinoma develops in up to 10-30% of patients with PSC. We present the case of a 3 years old child with features of sclerosing IgG4 cholangitis with asymptomatic elevation in liver enzymes, bile duct strictures on imaging, characteristic pathology findings, elevated serum IgG4, without signs of pancreatic involvement, and excellent response to corticosteroids. Pediatric gastroenterologists and hepatologists, as well as pediatric hepatopathologists, need to be aware of IgG4-SC as a disease entity.
Redefining Coaching in a Pandemic: A Qualitative Exploration of Physical Educators' Responses to Sports During COVID-19
Authors: Camatison Garily
Published: September 2024

A sports coach is a total package individual who is competent and well-equipped for the role we are demonstrating. Coaches with the best level of training and the most years of experience in the sport have invested more in their education and are better at adjusting the content of the training to the developmental stages of children and adolescents. The main purpose of the study is to explore the experiences of PE teachers is sports coaching in times of COVID-19 Pandemic. On the professional aspect, the informants were able to bring their MAPEH teaching skills into practice in their own municipalities and provinces. As a result of the researcher's inability to travel, online communication and interviews were used as data collection methods to elicit the informants' experiences. This part includes the presentation, analysis, and interpretation of data gathered from the six informants from Guimaras, Aklan, Iloilo City, Ajuy, Potatan, and Pavia. It includes (1) Adversities of COVID-19 Pandemic with sub-themes of learning and training modalities and versatility of sports coaching strategies and styles (2) The Resiliency in Virtual Hubs with sub themes of life cycle on social media and (3) Discernments in the Midst of Global Dilemma with subthemes of internal enthusiasm and mind setting. Encouraging athletes to reset their mindsets to see quarantine as a learning opportunity, organizing suitable guidance, educating and motivating athletes to use proper preventive behavior, and establishing acceptable living isolation conditions. Some types of circuit-based body mass resistance training may aid aerobic adaptation. The athlete's needs should be taken into account when organizing sports skills training. The acronym AGAMER was a practical and feasible intervention that can be used by any PE teacher and coach in their respective field of expertise.
Enhancing Employee Performance Through Green Human Resource Management: A Comprehensive Literature Review and Suggestions for Potential Researchers
Authors: Chowdhury Shah
Published: September 2024

There is nascent scholarship that report the effects of GHRM on individual performance despite direct and indirect association of GHRM with all dimensions of individual performance have not still been explored as demanded to meet sustainability challenges. To address this void in literature, this study has reviewed 78 papers following a systematic approach focused on the linkage of GHRM with multiple dimensions of individual performance. This review has revealed the scholarship trends investigating the direct and indirect association between GHRM and individual performance via 5 GHRM aspects: green recruitment and selection (GRS), green training and development (GTD), green performance management (GPM), green compensation and rewards (GCR), and green employee involvement (GEI). Individual performance dimensions include green behavior, non-green behavior, job satisfaction, green commitment, and green creativity. It has also found that the direct and mediating effects of GHRM on green behavior are the most researched area among all dimensions. On the other hand, the relationship between GHRM and non-green behavior is the least explored area. Finally, a set of future research potentials have been highlighted. The originality of this paper lies in accumulating previous researches of the relevant area and proposing future research avenues for guiding future researchers in the field of GHRM.
Experimental Assessment of Energy Potentials from Tea Wastes as a Source of Energy: A Case of Itona Tea Factory in Tanzania
Authors: Mwampulo Andrew , Omari Arthur , Mwakipesile Duncan
Published: September 2024

Tea processing is an energy-intensive process. However, high agricultural productivity and subsequently the growth of the green revolution have been made possible only by a large amount of energy inputs, especially those from fossil fuels, wood fuels, and electricity. With recent price rise and scarcity of these fuels there has been a trend towards use of alternative energy sources such as waste (agricultural waste) to energy that could solve both energy and environment issues. Moreover, these energy resources have not been able to provide an economically viable solution for agricultural applications so long as they seem to contain amount of energy which can be source of energy to be used in various factories in rural areas through gasification process. A gasifier is normally fuel specific system and it is tailored around a fuel rather than the other way round. Hence, this paper presents an experimental assessment of energy potentials from tea wastes available at Itonaa Tea Factory for tea drying processes as important data for agricultural wastes. The experimental measurement of energy potential from tea wastes was done using bomb calorimeter, muffle furnace and energy balances to determine calorific value moisture content and energy potentials of tea waste respectively. The findings indicate that the combined energy potential of factory and garden tea waste was found to be 2.78x108kWh, and corresponding electrical energy was estimated to be 2.78x107kWh which is enough for tea drying process in tea manufacturing plant. The total energy used in the production of tea was discovered to be equal 3.5 - 7.5 kWh/kg of made tea. Thus, total energy consumption (4.5 kWh/kg of made tea) for processing of 9.6 x 106 kg of tea from 4.5 x 103 hectares of tea plantation in Mufindi for the period of 2021-2022 was 4.32x107 kWh. Thus, with the proper utilization of energy conversion technology of tea waste, part of the energy requirement in processing of tea could be met reducing environmental challenges associated with both wood fuel burning and tea waste disposal.