bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Metode Hierarchical Clustering untuk Klasterisasi Provinsi di Indonesia berdasarkan Indikator Status Gizi Anak Baduta (Bawah Dua Tahun) Tahun 2023
Authors: Raihannabil Syfriza Davies
Published: December 2024

Indonesia sebagai negara dengan geografis yang sangat luas dan kondisi sosial-ekonomi yang beragam menyebabkan ketimpangan status gizi antardaerah. Pada masa baduta (bawah dua tahun), terjadi perbaikan gizi anak yang sangat kritis sehingga intervensi gizi setelah masa ini berdampak kurang signifikan pada perkembangan fisik dan kognitif anak. Penelitian ini menggunakan metode hierarchical clustering untuk klasterisasi provinsi di Indonesia berdasarkan indikator status gizi anak baduta tahun 2023. Analisis menghasilkan jumlah klaster optimum sebanyak 2 klaster dengan algoritma terbaik adalah AGNES. Klaster 1 beranggotakan 16 provinsi dengan permasalahan kekurangan gizi yang tinggi sehingga status gizi pada klaster ini dapat dikategorikan buruk. Sementara itu, klaster 2 beranggotakan 22 provinsi dengan permasalahan kekurangan gizi yang rendah sehingga status gizi pada klaster ini dapat dikategorikan baik. Dengan demikian, pemerintah dapat melakukan evaluasi kebijakan terkait intervensi gizi khususnya pada daerah yang tergolong status gizi buruk, seperti menyediakan program pemberian makanan tambahan (PMT) pada baduta, meningkatkan peran posyandu, dan melakukan pemantauan secara berkala terhadap kondisi status gizi baduta.
Disclosure of Sustainability Information Under the CSR Directive: The Degree of Compliance of PSI Companies
Authors: Azedo Graça , Oliveira Jonas , Sousa Ivone , Borges Maria Fatima , Tavares Maria C , Vale José
Published: December 2024

Europe has just published a new Directive on Corporate Sustainability Reporting Disclosure and elaborating new European Sustainability Reporting Standards. To analyze whether companies are complying with the new disclosure requirements before the Corporate Sustainability Reporting Directive (CRSD) on sustainability comes into force, a content analysis was carried out on the corporate reports of 12 companies in the Portuguese Stock Index (PSI) of Euronext Lisbon for the year 2022, complemented by the Score Analysis technique. From the study of general disclosures (European Sustainability Reporting Standards - ESRS 2), we concluded that although some companies already comply with various requirements of this standard, they are not disclosing all the information required by ESRS 2 on sustainability. We also concluded, by analyzing the companies' reports for 2022, that the requirements of the CSR Directive have different levels of disclosure.
Application of UHPLC-MS/MS-Based on Metabonomic Techniques to Analyze the Cordyceps cicadae Metabolic Profile Changes on Urea Response Mechanism in the Process of Ergosterol Synthesis
Authors: Wang Miaomiao , Zhang Zhicai , Shi Fenghui , Wu Weijie
Published: December 2024

Nitrogen source is a necessary nutrient factor in the process of mycelial growth and metabolite synthesis. In the previous study, we have explored the differentially expressed genes resulted from urea by transcriptome analysis. In the present study, urea was used to examine its effects on cell membrane permeability and metabolic flow in the process of Cordyceps cicadae fermentation and ergosterol synthesis. Metabonomic results showed that urea supplementation caused significant changes in five aspects: (1) urea anotably increased biomass growth and extracellular ergosterol, and decreased intracellular ergosterol concentration; (2) urea boosted inositol 1,4-bisphosphate level, which implied the acceleration of cell membrane decomposition, the weakening of integrity, and the increase of permeability; (3) urea increased the levels of amino acids, vitamins, hormones, and nucleotides, which exhibited an elevated biomass growth; (4) urea promoted the synthesis of intracellular flavonoids, alkaloids, and terpenes, which facilitated extracellular ergosterol syn-thesis by increasing membrane permeability; (5) In the fermentation anaphase, urea caused that the 6-phosphogluconate dehydrogenase and α-ketoglutarate dehydrogenase activities were inhibited, and decreased NADPH, NADH and ATP synthesis, and finally inhibited the biomass growth and ergosterol synthesis. Collectively, metabonomics was a valuable strategy to study the regulatory effects of medium composition and incubation conditions on the ergosterol synthesis by C. cicadae.
State of the Art in Parallel and Distributed Systems: Emerging Trends and Challenges
Authors: Dai Fei , Hossain Md Akbar , Wang Yi
Published: December 2024

Driven by rapid advancements in interconnection, packaging, integration, and computing technologies, parallel and distributed systems have significantly evolved in recent years. These systems have become essential for addressing modern computational demands, offering enhanced processing power, scalability, and resource efficiency. This paper provides a comprehensive overview of parallel and distributed systems, exploring their interrelationships, key distinctions, and the emerging trends shaping their evolution. We analyze four parallel computing paradigms—heterogeneous computing, quantum computing, neuromorphic computing, and optical computing—and examine emerging distributed systems such as blockchain, serverless computing, and cloud-native architectures. The associated challenges are highlighted, and potential future directions are outlined. This work serves as a valuable resource for researchers and practitioners aiming to stay informed about trends in parallel and distributed computing while understanding the challenges and future developments in the field.
The Multifaceted Roles of Vps9 Domain Proteins: From Structrual Insights to Biological Disease Implications
Authors: Hernandez Victoria
Published: December 2024

The Vps9 domain-containing proteins are integral to various cellular processes, particularly in regulating endocytic pathways and cell signaling. Initially recognized for their guanine nucleotide exchange factor (GEF) activity towards Rab5, Vps9 proteins have since been implicated in a broader range of functions, including ubiquitin binding and involvement in retromer complexes. In addition, Vps9 domains containing proteins are involved in cancer signaling pathways, growth receptor internalization, and the pathogenesis of various diseases. The structural diversity of Vps9 proteins, which often include multiple domains, contributes to their varied functions. Thus, there is a need for a comprehensive discussion that integrates newfound in silico approaches to illustrate the dynamic properties of the Vps9 domain family. To provide a visual representation of the Vps9 domain, we utilized AlphaFold3 to depict superimposed 3D models of different notable Vps9 domain containing proteins. In this review, we will incorporate recent findings on the Vps9 domain-containing protein, emphasizing their structural-domain architecture, molecular mechanisms, and protein-protein interactions. Recent discoveries on the structural and functional properties of lesser-known Vps9 proteins like VPS9D1 will also be discussed. Overall, this paper provides a comprehensive overview of the Vps9 domain proteins, their structural and functional characteristics, and their implications in various biological processes and diseases.
Relationship of Biochemical and Sonographic Markers with Disease Severity in Rosacea Patients Without Cardiovascular Disease
Authors: Mendi Banu İsmail , Mendi Bökebatur Ahmet Raşit , Farabi Banu , Atak Mehmet Fatih
Published: December 2024

Rosacea is a chronic skin condition characterized by inflammatory lesions. Inflammation plays an important role in all stages of atherosclerosis, yet there is debate in the literature regarding whether rosacea is a systemic inflammatory disease and its association with cardiovascular diseases. This study aims to investigate this potential relationship by assessing biochemical markers and sonographic findings in rosacea patients and disease severity groups. Our study included 73 rosacea patients and 73 age- and sex-matched controls, without cardiovascular risk factors. Demographic, clinical, and laboratory data were recorded for all participants. Carotid intima-media thickness and the thickness of subcutaneous, preperitoneal, posterior perirenal, and aortic-level visceral adipose tissues were measured by ultrasonography. The erythrocyte sedimentation rate was significantly elevated in rosacea patients versus controls. Additionally, sonographic assessments revealed that both aortic-level visceral adipose tissue and preperitoneal adipose tissue were significantly thicker in rosacea patients than in the control group, a finding corroborated by multivariate linear regression analysis. While thicker preperitoneal and perirenal adipose tissues were observed with increasing disease severity, these differences did not achieve statistical significance when subjected to multivariate linear regression analysis. Our findings support the association between rosacea and cardiovascular risk. The thorough examination and follow-up of patients with rosacea for cardiovascular risk factors may be necessary in clinical practice.
Study of Corrosion Behavior of Mg-Gd Based Soluble Magnesium Alloys
Authors: Wang Qinghua , Ma Lifeng , Huang Zhiquan , Zhu Yanchun , Zou Jingfeng , Li Ziliang , Qin Ling , Ma Liang
Published: December 2024

In order to investigate the corrosion behavior of Mg-Gd based soluble magnesium alloy materials, two aspects, environmental factors and microstructural point of view, were discussed in this study respectively. Among them, the environmental factor aspect was carried out by immersion weight loss tests at different Cl- concentrations and different temperatures. In terms of microstructure, the influence of different initial tissue morphologies on the corrosion behavior of the alloy was mainly investigated, and the second phase Mg5Gd, prepared by melting, was subjected to immersion weight loss tests and electrochemical tests. The results show that the corrosion rate of the alloy increases with the increase of Cl- concentration and temperature, but the growth trend is not linear, in which the Cl- concentration of 1% to 3% and the temperature of 75 °C to 100 °C have a significant effect on the corrosion rate of the alloy, respectively; the dissolution rate of Mg-Gd-based soluble magnesium alloy after extrusion + perforation deformation was greatly improved from 8.37 mg/cm2/h in the as-cast state to 43.85 mg/cm2/h. Combined with the microstructure analysis, it is believed that the extrusion destroys the coarse reticulated second phase in the as-cast state organization, which reduces the corrosion-blocking network effect of the second phase; electrochemical tests showed that the second phase Mg5Gd formed after the addition of the rare earth element Gd had a high electrochemical activity.
Antioxidant and Anti-obesity Properties of Acidic and Alkaline Seaweed Extracts Adjusted to Different pH Levels
Authors: Ghelichi Sakhi , Hajfathalian Mona , Falcione Sara , Jacobsen Charlotte
Published: December 2024

This research examined antioxidant and anti-obesity effects of Palmaria palmata extracts obtained through acidic or alkaline treatments and subsequent pH adjustments. After two rounds of acidic or alkaline extraction, the extracts were separated from biomass and adjusted to different pH values: for acidic extracts, pH 3 (no adjustment), pH 6, pH 9, and pH 12; for alkaline extracts, pH 12 (no adjustment), pH 9, pH 6, and pH 3. The findings revealed that alkaline extracts, regardless of pH adjustment, had significantly higher protein content and recovery than acidic ones (p < 0.05). Furthermore, alkaline extracts adjusted to pH 9, 6, and 3 had significantly higher content of essential amino acids (p < 0.05). On the other hand, acidic extraction solubilized significantly higher amounts of phenolic compounds (p < 0.05). Acidic conditions produced extracts with potent radical scavenging, especially at pH 6 (IC50 = 0.30 ± 0.04 mg.mL-1), while alkaline conditions favored metal chelating, with the highest Fe2+ chelation at pH 12 (IC50 = 0.65 ± 0.03 mg.mL-1). Moreover, extracts showed inhibitory activities against porcine pancreatic lipase and α-amylase, with the acidic ex-tract at pH 9 showing the best anti-obesity properties (IC50 = 5.38 ± 0.34 mg.mL-1 for lipase and IC50 = 5.79 ± 0.30 mg.mL-1 for α-amylase). However, the highest α-amylase activity was in the alkaline extract at pH 12 (IC50 = 3.05 ± 0.66 mg.mL-1). In conclusion, adjusting the pH of seaweed extracts notably influences their bioactive properties, likely due to changes in the reactivity and interactions of bioactive compounds such as peptides, carbohydrates, and polyphenols.
Bioactive Properties of Pentacalia vaccinioides (Kunth) Cuatrec. (Asteraceae) Essential Oils: Evaluation of Antimicrobial and Antioxidant Activities
Authors: Sequeda-Castañeda Luis G. , Castellanos-Gómez María A. , Céspedes-Acuña Carlos L. A.
Published: December 2024

Essential oils (EOs) have unique properties, such as antibacterial, antioxidant, and antiviral activities, which are beneficial in various industries, including cosmetics, food, and pharmaceuticals. In this study, the antioxidant and antimicrobial activities of Pentacalia vaccinioides EOs obtained from leaves and flowers (fresh and dried plant material) were evaluated using hydrodistillation (HD), steam distillation (SD), simultaneous distillation-extraction (SDE), and solid-phase microextraction (SPME) techniques. Antimicrobial activity (minimum inhibitory concentration, MIC) and antioxidant capacity (half-maximal inhibitory concentration, IC50) were determined. The identification and quantification of the compounds present in the EOs were conducted by gas chromatography coupled to mass spectrometry (GC-MS). The main secondary metabolites identified in most samples obtained by different extraction techniques included: phenol (~18%), 1S-α-pinene (~15%), β-phellandrene (~13%), β-pinene (~12%), 4-terpineol (~10%), γ-terpinene (~10%), trans-nerolidol (~8%), limonene (~8%), and β-thujene (~6%). EOs obtained by HD, SD and SDE exhibited antioxidant activity, with IC50 values between 621.7 and 696.6 µg/mL. Additionally, the EOs demonstrated bactericidal activity against Bacillus subtilis and Staphylococcus aureus, with MIC values of 5.0 and 45 µg/mL, respectively. Escherichia coli and Pseudomonas aeruginosa did not show antimicrobial susceptibility to EOs. This study constitutes the first evaluation of Pentacalia vaccinioides EOs, demonstrating their bioactive potential and the relevance of the extraction method. The findings highlight this species as a promising source of natural compounds for therapeutic and preservative applications, depending on the type of plant material and extraction technique used.
The Conceptual Foundation for Energy Physics and Thermodynamics’ Dual Foundations
Authors: Wang Lin-shu
Published: December 2024

Energy physics, or thermodynamics, is a theoretical system based
on a conceptual foundation of free energy defined by its two fundamental laws in
what is referred to as the “combined first and second laws of thermodynamics.” The
thesis of the essay is that energy physics theoretical system, which led to the false
truism of energy as nature’s driving force while entropy growth as drag to the
driving force, can be better understood by focusing on its two fundamental laws as
well as its dual, conceptual and methodological, foundations. On a new conceptual
foundation of entropy growth, we arrive at an understanding of entropy growth as
the universal driving force of macroscopic processes while energy conservation as
closure condition to all processes.
Barista-Quality Plant-Based Milk for Coffee: A Comprehensive Sensory and Physicochemical Review of Challenges and Solutions
Authors: Gupta Akansha , Keast Russell , Liem Djin Gie , Jadhav Snehal R , Mahato Dipendra Kumar , Gamlath Shirani
Published: December 2024

The demand for plant-based milk alternatives (PMAs) has grown rapidly in recent years, driven by health-conscious choices, environmental sustainability, ethical considerations, and environmental concerns. Among these, "barista-quality" PMAs play a critical role in coffee applications. However, achieving the desired sensory attributes (flavour and mouthfeel) and physicochemical properties (texture, foam formation, and stability) of dairy milk in coffee remains a significant challenge. This review provides a comprehensive analysis of the sensory and physicochemical characteristics of PMAs, with a particular focus on their performance in hot coffee beverages such as cappuccinos and lattes. It examines the fundamental issues and factors influencing the compatibility of PMAs in hot coffee, including flavour, texture, foam formation and stability, and consumer acceptance. Furthermore, the review explores potential strategies to address these sensory and physicochemical challenges, offering valuable insights into opportunities for innovation and product development. The aim is to guide the optimization of next-generation "barista-quality" PMAs with improved sensory and functional properties.
Optimization and Spatial Modeling of Basins and Water Resources
Authors: Manasaya Pamela
Published: December 2024

Objetives:Analyze the techniques that are most effective in basins and water resources. Determine the most widely used optimization methods at an international level. List countries that have the largest number of related studies. Methodology:A systematic bibliographic review study was carried out on the use of optimization and spatial modeling techniques in basins and water resources in the last 14 years. A search was considered in the Scopus and Scielo databases. The observation technique was used to extract the information and the indicators were recorded in an evaluation form (Title, Author, Year, Country, Sample, Technique). Result: The most effective technique is the use of Ge- ographic Information Systems (GIS). The most widely used techniques are GIS, Minimum Cumulative Resis- tance (MCR) and the Soil and Water Assessment Tool (SWAT). The countries that highlight the relevance of this study are China leading the list with 6 studies, fol- lowed by Colombia with 3, Spain with 2 investigations and some other countries such as Peru, Chile, the USA and Tunisia with 1 investigation respectively. Conclusion: The analysis of the techniques used in spatial modeling and optimization for watersheds and hy- drographic resources shows that Geographic Information Systems (GIS) stand out as the most effective tool due to their versatility and ability to integrate spatial and temporal variables in complex management scenarios. Minimum Cumulative Resistance (MCR) stands out for its contribution to ecological connectivity and landscape stability, while the SWAT model is particularly useful in water and sediment quality management in agricultural watersheds.
Barriers and Challenges for Implementing Health 4.0
Authors: Santos Thiago Rodrigues , Dias Eduardo , Scoton Lidia
Published: December 2024

This study presents a systematic literature review to identify the main barriers and challenges in the implementation of Health 4.0. The initial search found 872 articles on the topic, but after applying the selection protocol, 50 articles were analyzed in detail. The results indicate that the main barriers to the adoption of Health 4.0 include data privacy and security, resistance to change and acceptance, standardization and interoperability, costs and funding, technological infrastructure, and the training and education of healthcare professionals. Additionally, the challenges faced in the implementation of Health 4.0 involve the integration of systems and devices, the acceptance and adaptation of patients and healthcare professionals, the reduction of costs and complexity of technologies, the need for clear policies and regulations, and the management of data and digital technologies. This study offers a comprehensive overview of the barriers and challenges, providing guidelines for decision-making and the implementation of effective solutions to promote the successful adoption of Health 4.0 technologies.
On the "Assembly Theory and its Relationship with Computational Complexity"
Authors: Łukaszyk Szymon
Published: December 2024

The study provides an alternative definition of the assembly space, as an acyclic, 2-in-regular digraph with vertices associated with strings, wherein some vertices (initial assembly pool) are inaccessible, and with the edge labeling map preserving the commutativity of the assembly step in terms of the labels of assembled vertices, but defining the order of concatenation of strings associated with those vertices in a string associated with the vertex being the endpoint of both incoming edges starting at these vertices. We also comment on certain results of [10.48550/ARXIV.2406.12176], showing that it is the Assembly Steps Problem, not the Assembly Index Problem, that has been proved in the referenced study to be NP-complete.
Computationally Selected Multivalent HIV-1 Subtype C Vaccine Protects Against Heterologous SHIV Challenge
Authors: Mielke Dieter , Tuyishime Marina , Kelkar Natasha S. , Wang Yunfei , Parks Robert , Santra Sampa , Rountree Wes , Williams LaTonya D , Peters Tiffany , Eisel Nathan , Sawant Sheetal , Zhang Lu , Goodman Derrick , Jha Shalini , Zalaquett Adam , Ramasubramanian Pratamesh , Stanfield-Oakley Sherry , Matyas Gary , Beck Zoltan , Rao Mangala , Ake Julie A. , Denny Thomas , Montefiori David C , Ackerman Margaret E. , Corey Lawrence , Tomaras Georgia D. , Korber Bette , Haynes Barton F , Shen Xiaoying , Ferrari Guido
Published: December 2024

Background: The RV144 trial in Thailand is the only HIV-1 vaccine efficacy trial to date to demonstrate any efficacy. Genetic signatures suggested antibodies targeting the variable loop 2 (V2) of HIV-1 Envelope played an important protective role. The ALVAC prime and protein boost follow-up trial in southern Africa (HVTN702) failed to show any efficacy. One hypothesis for this is the greater diversity of subtype C viruses in southern Africa relative to CRF01_AE in Thailand.
Methods: Here, we determined whether an ALVAC prime with computationally selected gp120 boost immunogens maximizing coverage of diversity of subtype C viruses in the variable V1 and V2 regions (V1V2) improved protection of non-human primates (NHPs) from a heterologous subtype C SHIV challenge compared to more traditional regimens.
Results: An ALVAC prime with trivalent subtype C gp120 boosts resulted in statistically significant protection from repeated intrarectal SHIV challenge compared to the control. Evaluation of the immunogenicity of each vaccine regimen at the time of challenge demonstrated that different gp120 combination boosts elicited similar high magnitudes of gp120 and breadth of V1V2 binding antibodies and strong Fc-mediated immune responses. Low to no neutralization of the challenge virus was detected. A Cox proportional hazard analysis of five pre-selected immune parameters at the time of challenge identified ADCC against the challenge Envelope as a correlate of protection. Systems serology analysis revealed that immune responses elicited by the different vaccine regimens were distinct and identified further correlates of resistance to infection.
Conclusion: Computationally designed vaccines with maximized subtype C V1V2 coverage mediated protection of NHPs from a heterologous Tier 2 subtype C SHIV challenge.
Analysis of Rock Bolt Dynamic Responses to Evaluate the Anchoring Degree of Fixation
Authors: Godio Alberto , Oggeri Claudio , Seccatore Jacopo
Published: December 2024

Rock bolting in underground environments is used for different fundamental reasons, including suspending potentially loosened blocks, clamping small wedges together, inducing a protective pressure arch along the contour of excavated voids to improve the self-supporting capacity of the ground, and providing a passive pressure in integrated support systems. In this study, we describe a testing procedure that was developed to investigate the grouted annulus of a rock bolt using a low-cost investigation method. This diagnostic technique was based on the dynamic response of the system, where mechanical vibrations were induced within the rock bolt and the response was recorded by using geophones/accelerometers on the protruding element of the bolt (the collar and head). The collected signal was then processed to estimate the spectral response, and the amplitude spectrum was analyzed to detect the resonance frequencies. A 3D finite element model of the rock bolt and grouting was established to simulate the quality of the coupling by varying the mechanical properties of the grouting. The model response for the studied geometry of the rock bolt suggested that a poor quality of grouting was usually associated with flexural modes of vibration with a low resonance frequency. Good-quality grouting was associated with a frequency higher than 1400 Hz, where the axial vibration was mainly excited. Our analyses referred to short rock bolts, which are usually adopted in small tunnels. The interpretation of the experimental measurements assumed that the spectral response was significantly affected by the quality of the grouting, as demonstrated by the modeling procedure. The resonance frequency was compared with the results of the model simulation. The method was used to test the quality of rock bolts in a small experimental tunnel carved from andesite rock in Chile. Low-cost shock sensors (piezoelectric geophones) with low sensitivity but a wide frequency band were used, and triaxial sensors were tested in a laboratory for the further development of the research activity. The main research outcome was the development of a reliable method to model the dynamic response of rock bolts in mines or for experimental applications in tunnels.
Red-Leafed Lettuces: Genetic Variation or Epigenetic Photomorphogenesis?
Authors: Smirnova Natalya V. , Timofeenko Ivan A. , Krutovsky Konstantin V.
Published: December 2024

Red-leafed lettuces (RLLs) attract attention of both consumers and researchers due to their unique decorative and functional properties. The review considers modern concepts of the causes and mechanisms that control color shades and intensity of RLLs. They are also enriched in anthocyanins that have valuable antioxidant properties. Anthocyanins are plant pigments, flavonoid chromophores, which are largely responsible for the color of many fruits and flowers, and their antioxidant activity increases the value of RLLs for consumer health. For effective selection of RLLs, it is important to know to what extent the color of lettuces is determined by the genetic variation of genes controlling the biosynthesis of anthocyanins, and to what extent by the epigenetic regulation of their expression, for which it has been shown that it is regulated in response to changes in environmental factors such as light, humidity and temperature, as well as biotic and abiotic stresses and is an adaptive reaction of plants. A number of researchers note a change or loss of genes of the wild type during domestication (cultivation) of lettuces, which also leads to the loss of their color. Mutation of genes can lead to the creation of a green variety of lettuce, which can accumulate colorless flavonoids, also valuable for consumers. In addition, mechanisms are noted that allow to regulate the intensity of red coloring through the exposure of lettuces to the light with a different spectrum, up to its disappearance in the leaves of RLLs. Thus, by controlling the mechanism of leaf coloring, through the suppression or inactivation of genes that control the biosynthesis of color pigments and the degradation of chlorophyll, it is possible to create different shades within the same lettuce variety.
A Fractional Microlocal Convolution–Projection Operator on Distribution Spaces and Its Geometric Regularization Properties
Authors: Johnson Godson
Published: December 2024

This paper presents a new class of operators, denoted by MΓα,β, that act on distributions in D′(Ω) for Ω ⊆Rn.These operators combine fractional differentiation of arbitrary positive order α, convolution against a microlo-cally defined kernel Kβ tuned by a parameter β >0, and a geometric projection associated with a smoothlyembedded submanifold Γ ⊂Ω. The resulting construction yields operators with remarkable smoothing andlocalization properties, continuity in distribution spaces, and well-defined Fourier characterizations. Weestablish existence and uniqueness results for solutions of an integral equation involving MΓα,β, and we analyzetheir spectral properties. A detailed numerical experiment applied to a Gaussian test function demonstratessignificant enhancement of high-frequency components, anisotropy aligned with Γ, and selective directionalfeature extraction. These findings thus provides contributions to advanced analytic and computational toolsthat blend harmonic analysis, microlocal analysis, and fractional calculus into a single elegant framework.
Modeling Mobile Applications for Proximity-Based Promotion Delivery to Shopping Centers Using Petri Nets
Authors: Velazquez Julian , Machucho Ruben , Lopez Jose F. , Herrera Hiram , Hernández-Almazán Jorge-Arturo
Published: December 2024

This article presents the design and implementation of an API that delivers real-time promotional notifications to mobile devices based on their proximity to shopping centers, calculated using the Haversine formula. Developed in Laravel, the API determines whether a mobile device is within a 600-meter radius of any registered shopping center, such as Soriana, GranD, and HEB, and sends the relevant promotional information. The system uses Petri nets to model asynchronous behavior, enabling efficient concurrency management between the mobile application and the API. This structure ensures optimized message delivery, preventing communication collisions and delays. The mobile application, developed in Kotlin, integrates geolocation services to capture and update the user’s location in real time. The results indicate an improvement in response time and proximity detection accuracy, highlighting the effectiveness of the Petri net model for systems requiring concurrent interaction. The combination of Laravel, Kotlin, and formal modeling with Petri nets proves to be an effective and scalable solution for proximity-based mobile applications.
CNEURO-201, an Anti-Amyloidogenic Agent and σ1-Receptor Agonist Improves Cognition in the 3xTg Mouse Model of Alzheimer’s Disease by Multiple Actions in the Pathology
Authors: Martínez-Orozco Humberto , Bencomo-Martínez Alberto , Maya-Arteaga Juan Pablo , Rubio-De Anda Pedro Francisco , Sanabria Romero Fausto , Casas Zyanya Gloria Mena , Vargas-Rodríguez Isaac , Hernández-Puga Ana Gabriela , Sablón-Carrazana Marquiza , Menéndez Soto del Valle Roberto , Rodríguez-Tanty Chryslaine , Diaz-Cintra Sofía
Published: December 2024

The complexity of Alzheimer’s disease (AD) pathophysiology represents a significant challenge in the development of effective therapeutic agents for its treatment. CNEURO-201 (CN, also Amylovis-201) is a novel pharmaceutical agent with dual activity as an anti-amyloid-β (Aβ) agent and σ1 receptor agonist. CN exhibits a great efficacy at very low doses, delaying cognitive impairment and alleviating Aβ load in animal models of AD. However, CN functions on other pathways related to this pathology remains to be investigated. The present study sought to evaluate the effects of CN treatment at a dosage of 0.1 mg kg-1 (p.o) over an eight-week period in the 3xTg-AD mouse model. In silico studies, as well as biochemical and immunofluorescence assays, were conducted on brain tissue to investigate the CN effects on acetylcholine metabolism, redox system and glial cell activation related biomarkers in brain regions that are relevant for memory. The results demonstrated that CN effectively rescues cognitive impairment of 3xTg-AD mice by influencing glial activity to reduce existing Aβ plaques, but also modulating acetylcholine metabolism and the enzymatic response of proteins involved in redox system. Our outcomes reinforced the potential of CN to treat AD by acting on multiple pathways altered in this disease.
Predictive Utility of the Functional Movement Screen and Y-Balance Test: A State-of-the-Science Review
Authors: Eckart Adam , Sharma Ghimire Pragya , Stavitz James , Barry Stephen
Published: December 2024

Musculoskeletal injury (MSI) risk screening has gained significant attention in rehabilitation, sports, and fitness due to its ability to predict injuries and guide preventive interventions. This review analyzes the Functional Movement Screen (FMS) and the Y-Balance Test (YBT) landscape. Although these instruments are widely used because of their simplicity and ease of access, their accuracy in predicting injuries is inconsistent. Significant drawbacks include reliance on broad scoring systems, varying contextual relevance, and neglecting individual characteristics such as age, gender, fitness levels, and past injuries. Meta-analyses reveal that the FMS and YBT overall scores often lack clinical relevance, exhibiting significant variability in sensitivity and specificity among different groups. New findings point to multifactorial models' effectiveness that consider modifiable and non-modifiable risk factors—like workload ratios, injury history, and fitness data—for better prediction outcomes. Advances in machine learning (ML) and wearable technology, including inertial measurement units (IMUs) and intelligent monitoring systems, show promising potential by capturing dynamic and personalized high-dimensional data. Such approaches enhance our understanding of how biomechanical, physiological, and contextual injury aspects interact. This review emphasizes the shortcomings of conventional movement screens, highlights the necessity for workload monitoring and personalized evaluations, and promotes the integration of technology-driven and data-centered techniques. Moving towards tailored, multifactorial models could significantly improve injury prediction and prevention across varied populations. Future research should refine these models to enhance their practical use in clinical and field environments.
Redefining Coopetition Through Service-Dominant Logic: A Path to Innovation and Value Co-creation
Authors: da Silva Agostinho , Cardoso Antonio J.Marques
Published: December 2024

In an era of globalization and technological advancements, coopetition—the simultaneous cooperation and competition among firms—has emerged as a transformative strategy for fostering innovation and enhancing value creation. This study explores the role of technology-driven coopetition networks in facilitating value co-creation within the Portuguese ornamental stone sector. Grounded in the Service-Dominant Logic (S-D Logic) perspective, the research develops an integrative framework emphasizing resource integration, service exchange, and institutional arrangements as critical enablers of coopetition success.
Using a two-phase experimental approach involving selected small and medium enterprises (SMEs), the study evaluates customer perceptions of product quality under conventional best practices and technology-enabled coopetition networks. The findings reveal significant improvements in customer-perceived quality and increased consistency in outcomes. Statistical analysis confirms that transitioning to technology-driven coopetition networks enables firms to align their operations with customer expectations better, optimize resource allocation, and enhance operational coordination.
This research underscores the strategic potential of coopetition networks, mainly when supported by advanced technologies such as IoT-based systems. These networks promote sustainable value co-creation and operational resilience by enabling firms to share expertise, distribute tasks, and align collaborative efforts. The findings contribute to coopetition and S-D Logic literature by providing a practical framework for firms seeking to enhance competitiveness and achieve sustainable growth within dynamic service ecosystems.
Melhorando a aprendizagem na disciplina de Química Geral com o trabalho do monitor: uma experiência com Ambientes Virtuais de Aprendizagem
Authors: Freitas Misael Santini de , Yoneda Julliane
Published: December 2024

O projeto “Melhorando a aprendizagem de Química Geral com o trabalho do Monitor” foi pensado visando o estímulo à participação nos atendimentos de monitoria e à aprendizagem significativa de conceitos importantes para o bom andamento do curso de Química. As atividades de monitoria foram estruturadas em caráter investigativo, lançando mão de recursos digitais, como ambientes virtuais de aprendizagem e softwares educacionais como laboratórios virtuais. A partir das atividades realizadas, observou-se um aumento da frequência nos encontros de monitoria, bem como uma melhora no desempenho dos estudantes que participavam assiduamente dos atendimentos.
Researcher Perspectives on Obstacles and Facilitators of Open Scholarship at a Canadian University
Authors: Rothfus Melissa , Macleod Lachlan , Macpherson Erin , Gillis Louise
Published: December 2024

In 2022, researchers at Dalhousie University were surveyed to assess their understanding and practice of open scholarship. The survey was designed to answer these primary questions: what are Dalhousie University researchers' existing practices and levels of knowledge regarding open scholarship, and what is their awareness and perception of institutional support for open practices? Participants were recruited through direct email, blog posts, and newsletters from the Dalhousie Libraries, Faculty of Graduate Studies, Office of Research Services, and offices of the Associate Deans of Research.
During the three-week period the survey was active,131 surveys were begun. As incomplete surveys were excluded from data analysis, the total analyzed sample size was 98. Descriptive analysis was conducted, as the number of responses was not representative of the Dalhousie University population.
Most responses were from faculty, specifically in the Faculty of Medicine, followed by the Faculties of Science and Health. The majority of respondents reported sharing some type of scholarly output, though this varied by discipline and by material type. Informal sharing mechanisms were reported more frequently than formal repositories or publisher sites. Obstacles to open scholarship practices that were identified included concerns about investments of time, money, and education as well as concerns about institutional support and recognition. While many supports for open scholarship are available, there is a need to increase awareness.
Understanding and evaluating operator engagement ethos and practices: Examples from the UK Deep Geothermal Sector
Authors: Ryder Stacia , Rohse Melanie , Abesser Corinna
Published: December 2024

Background
With a transition to Net Zero a priority for an increasing number of countries, the roll out of renewable energy technologies is set to accelerate. To be fair and inclusive, a renewable energy transition must combine technological roll out with enabling communities and citizens to be part of energy decision-making. Whilst participation in the energy system can take many forms, the siting and implementation of renewable energy infrastructure is one area with great potential for improving fairness and inclusivity. In the UK, one nascent renewable energy technology is geothermal energy. The purpose of our study is to understand how the geothermal industry is approaching engagement, in a nation where little geothermal development or research on the industry’s engagement practices has occurred. We examine UK geothermal operator approaches to community engagement across three different projects. Through qualitative methods we examine the connections between who is leading engagement practices, what their engagement ethos and values are, and what specific type of strategies and approaches to community engagement are deployed.
Results
We uncover sets of operator ethos that emphasize honesty, trust, and relationship-building as central to developing good practice engagement strategies. Further, we find across the cases that there is general support for geothermal energy and positive attitudes towards operators and how they are conducting community engagement. Our results provide early analysis of engagement practices in the UK geothermal industry and offer a model for good practice in community engagement around geothermal energy.
Conclusions
We conclude by recommending three approaches for enhancing community engagement as one aspect of societal concern in the context of geothermal energy and beyond: (1) enhancing engagement training for operators, (2) shifting engagement to a focus on community-based (and not just technical) concerns, and (3) developing a policy framework that mandates meaningful engagement processes.
The Impact of Social Support on the Improvement of Positive Coping Styles among Disadvantaged Breadwinner Mothers: A Case Study from a Chinese Province
Authors: Li Jingya , Yu Hanyan
Published: December 2024

This study analyzes the impact of social support on the improvement of positive coping styles among disadvantaged breadwinner mothers in a Chinese province.Results from 380 beneficiaries of an assistance program, analyzed through hypothesis testing and stepwise regression, show that perception and evaluation of social support directly enhance positive coping abilities and increase social trust, leading to positive coping styles. Although the extent of utilization of social support does not affect the change in individuals' positive coping strategies before and after receiving assistance, it significantly improves their sense of social trust. individuals lacking social support have fewer influencing factors on positive coping strategies and are more dependent on supportive social assistance. The findings highlight the need to enhance beneficiaries' service awareness, satisfaction, and social trust while ensuring precise, long-term service delivery to promote a problem-solving-oriented positive attitude and behavioral approach to life.
A case of a neonatal cardiac tumor with ventricular tachycardia undergoing emergency surgery
Authors: Li Pengju , Zhai Bo , Chen Yihua
Published: December 2024

Background
Primary heart tumors are more common in children, often without obvious symptoms. However, a small number of children may experience serious conditions such as arrhythmia, heart obstruction, and even death. When severe arrhythmia cannot be controlled by conservative treatment, surgical intervention is needed.
Case presentation:
A 20-day-old male neonate, born full-term via cesarean section, was admitted to the emergency department with complaints of jaundice for 16 days and a rapid heart rate detected for one day. The heart rate was recorded at 280 beats per minute. An electrocardiogram (ECG) initially suggested supraventricular tachycardia, later progressing to ventricular tachycardia. A bedside echocardiogram indicated an intracardiac mass. Conservative treatment failed to restore normal heart rhythm, then the patient underwent emergency surgery with tumor resection under general anesthesia and cardiopulmonary bypass. Post-surgery, ventilator-assisted breathing was administered, along with inotropic support, diuretics, anti-infective therapy, and fluid management. the heart rate and rhythm returned to normal. Postoperative pathology revealed the presence of a cardiac rhabdomyoma, and follow-up was arranged post-discharge.
Conclusion
Cardiac tumors in children are relatively rare, mostly benign, and have a good prognosis. But for some emergency situations or heart tumors that cause adverse effects, timely and effective intervention is needed to avoid adverse consequences.
A Cloud-Edge Collaborative Model Training Framework for Assisted Classification of Middle Ear Diseases Based on Ultra-High-Resolution Temporal Bone CT Images
Authors: Wu Ting , Tang Yu , Che Zigang , Zhao Jiangjiang , Wang Jue , Wu Yanfeng , Meng Wei , He Shuangba
Published: December 2024

Objective
Cholesteatoma and otitis media are two of the most common middle ear diseases, of which the treatment principles are different, making the differentiation between them of significant importance. Both chronic suppurative otitis media (CSOM) and middle ear cholesteatoma (MEC) can appear on CT images as low-density soft tissue-like masses partially filling the middle ear and mastoid cavities. However, typical CT imaging of MEC may show progressive destruction of auditory structures and adjacent cranial bones. Compared to high-resolution CT (HRCT), ultra-high-resolution CT (U-HRCT) offers inherent continuity and a more detailed display of the fine structures of the middle ear. This study proposes a "cloud-edge" collaborative training framework for middle ear disease classification that exploits temporal bone U-HRCT imaging data. By integrating the YOLO recognition algorithm, this framework aims to achieve auxiliary classification of MEC and CSOM based on U-HRCT images.
Design:
In the cloud-edge collaborative framework, the edge devices acquire U-HRCT imaging data and perform auxiliary classification of middle ear diseases using image recognition and inference techniques. The imaging data collected by the edge devices are transmitted to the cloud, where a unified model training process is executed, and the model containers are then deployed to the edge devices for future auxiliary diagnosis. The framework employed Mixup and Mosaic methods for data augmentation to enhance model robustness and improve generalization performance. The object detection models of the You Only Look Once (YOLO) family was used, and the final model selection was made based on their performance.
Results
This study found that this cloud-edge collaborative framework can effectively classify temporal bone U-HRCT imaging data for MEC and CSOM. In the test set, the framework successfully collected real CT image data, performed data processing and conducted model training as designed. Eventually, multiple models were trained, with different levels of detection ability assessed by selected metrics, allowing for trade-offs in model selection considering computation time and accuracy. The selected model was then deployed to the edge, where they performed auxiliary classification tasks at the edge device.
Conclusions
This study discussed the significance of temporal bone U-HRCT imaging in the diagnosis of CSOM and MEC and proposed a cloud-edge collaborative model training framework for auxiliary classification from U-HRCT imaging data. This approach maximizes the utility of the data, fully leverages the diversity of image recognition algorithms, and ensures a high level of accuracy in classification.