bluuebunny/crossref_metadata_2025 huggingface dataset:
Factor-Based Trading Strategy for Index Rebalancing: Predicting Abnormal Returns Using Logistic Classification
Authors: Mandavalli Satish
Published: October 2024

In this paper, we present an approach which examines whether there are persistent abnormal returns around the periods of index rebalancing, using a factor-based framework. By employing this methodology, we observe the yield of normal returns around these events, although the detected abnormal returns may not usually be statistically significant. Therefore, we conclude the study by addressing how one such supposed strategy for rebalance trading is systematic constructive by supervision of some predictive model for the candidates based on all available in the TSX universe for inclusion into the S&P Capped TSX Composite Index in about a month. Trade signals were constructed using a logistic binary classifier based on the same factors used by the index committee to determine the qualifications for inclusion in the index. The problem of a very low probability of out of context security selection for addition to the index is solved at the expense of random over-sampling. In the end, these trade signals were then used to create a hypothetical trading strategy that outperformed the back-test period.
Detection of ECG Waves Using Butterworth Bandpass , Filter and Peak Finding Techniques
Authors: Francisco Santos Dheiver
Published: October 2024

his article presents a method for detecting P, QRS, T, and U waves in electrocardiogram (ECG) signals through advanced signal processing techniques, including a Butterworth bandpass filter and peak finding algo- rithms. The results are evaluated against the voltage ranges recommended in the literature, underscoring the importance of accurate wave detection for the diagnosis of various cardiac conditions.
The Mathematics of Plato's Psychophysics of Colour
Authors: Redding Paul
Published: October 2024

Aristotle is often looked to as providing a potentially appropriate model for a naturalistic human psychology that is able to reconcile the commonly opposed normative or “manifest” and factual or “scientific” images of the world. In contrast, this paper argues for the greater relevance of Plato’s comparatively neglected approach, exploring this in the context of a psychophysics of colour perception—a topic still resistant to formalization in modern science. While Plato’s natural philosophy is often dismissed as caught up in a fanciful pre-scientific approach based on the “harmonies” of Pythagorean music theory (the so-called “music of the spheres”), it is argued that such Pythagorean harmony theory had actually provided Plato with the rudiments of contemporary mathematical tools useful for the study of colour phenomena, tools such as projective geometry, linear algebra, algebraic topology, and graph theory. It is argued that Plato’s approach to the psychophysics of colour underlies the colour phenomena discovered by Goethe in the nineteenth century, phenomena that are consistent with modern mathematical analyses of order. It is Plato, not Aristotle, whose work is suggestive of a successful psychophysical approach to colour.
A Multifaceted Assessment of the Consultation Liaison Psychiatry Service within a regional Australian Hospital
Authors: Tan Clement , Reelh Sandeep , Suri Rahul , Hiskens Matthew , Ajit Akshaya , Rana Alok
Published: October 2024

Background: Medical and mental health conditions have a reciprocal relationship, with each impacting the other. Consultation-Liaison Psychiatry (CLP) is a sub-specialty that addresses psychiatric co-morbidities in the general hospital system and positively impacts hospital resources through its service aspects of ‘consultation’ and ‘liaison’. This multi-faceted evaluation aims to describe and evaluate the characteristics of a regional CLP service. Methods: Retrospective evaluation of all referrals accepted by CLP between May 2021-2022 were reviewed through the hospital’s electronic records. An evaluation tool was designed to assess multiple aspects of care including the source of referrals, the reasons for referral, patient demographics, how quickly the patient was seen, information of their mental health, and the details and timeframe of CLP involvement. Findings: There were 147 patients included in the study. Doctors were the primary referrers (92%). A total of 94% of patients were reviewed within 24 hours of the referral being received. Referral reasons were balanced across diagnostic clarification/review, medication review and risk review. A large proportion of referrals were aged >60 years. There was a large proportion of patients that lived rurally requiring hospital transfer. CLP involvement was primarily required to provide a diagnosis (91% of patients) and provide pharmacological management advice (88%). Conclusion: The CLP service currently operates with limited resources, and without additional support, the sustainability of the service will become increasingly challenged due to population aging. It is essential that we address this issue to ensure that the community's needs are met effectively.
Use of Chitosan and Chitosan-Magnetite Spheres for Arsenic Groundwater Removal. Factorial Designs as Tools to Calculate the Efficiency of Removal
Authors: Hernandez Trespalacios Mayra Alejandra , Mangiameli María Florencia , González Juan Carlos , Gribaudo Lina , Frascaroli María Inés
Published: October 2024

The lack of access to drinking water is a problem that affects many towns in the Province of Santa Fe. Many people affected by this situation use groundwater for consumption, cooking, and irrigation. In this work, a colorimetric analytical technique is used to quantify arsenic. It is sufficiently sensitive, simple, and economical to apply to the towns of interest. This work synthesized a hybrid sorbent in the form of magnetite-chitosan spheres (M-Q). The sorption capacity of this new sorbent for As removal was 270% greater than that of chitosan spheres (Q), which was 30%. Another advantage of this hybrid sorbent is the capability of being sep-arated by its magnetic properties. The work was done with groundwater (Andino, Province of Santa Fe) with high conductivity (12.1 µS/cm), hardness (1125 mg/L CaCO3), and an As(V) concentration of 265 µg/L. The removal capacity from groundwater was optimized using a composite factorial design, and for the conditions of mass 0.49 g, pH 5.24, and contact time of 81.23 min, it was found to be 81%.
Nanoparticle-Mediated Delivery of Deferasirox: A Promising Strategy Against Invasive Aspergillosis
Authors: Peppe Sydney , Farrokhi Moloud , Waite Evan A. , Muhi Mustafa , Matthaiou Efthymia Iliana
Published: October 2024

BACKGROUND. Invasive aspergillosis (IA) is a deadly fungal lung infection. Antifungal resistance and treatment side effects are major concerns. Iron chelators are vital for IA management, but systemic use can cause side effects. We developed nanoparticles (NPs) to selectively deliver the iron chelator deferasirox (DFX) for IA treatment. METHODS DFX was encapsulated in poly(lacticco‐ glycolic acid) (PLGA) NPs using a single emulsion solvent evaporation method. NPs were characterized by light scattering and electron microscopy. DFX loading efficiency and release were assessed spectrophotometrically. Toxicity was evaluated using SRB, luciferase, and XTT assays. Therapeutic efficacy was tested in an IA mouse model, assessing fungal burden by qPCR and biodistribution via imaging.RESULTS DFX‐NPs had a size of ~50nm and a charge of ~‐30mV, with a loading efficiency of ~90%. Release kinetics showed DFX release via diffusion and bioerosion. The EC50 of DFX‐NPs was significantly lower (p<0.001) than the free drug, and they were significantly less toxic (p<0.0001) in mammalian cell cultures. In vivo, NPs treatment significantly reduced Af burden (p<0.05). CONCLUSION The designed DFX‐NPs effectively target and kill Af with minimal toxicity to mammalian cells. The significant in vivo therapeutic efficacy suggests these NPs could be a safe and effective treatment for IA.
Computed Tomography-Measured Cranial Mediastinal Lymphadenomegaly Is Associated with Elevated C-Reactive Protein in Small Dogs with Non-Neoplastic Disorders
Authors: Ide Yutaro , Furusawa Yu , Sogawa Takeshi , Takahashi Kaori , Kuramoto Tomohide , Noguchi Aki , Takahashi Masashi , Miura Naoki
Published: October 2024

Lymphadenomegaly is well described in dogs with neoplastic diseases, but it can also reflect in-flammation. However, its role in assessments of inflammation is little reported in the veterinary literature. Lymph nodes are most easily assessed superficially through palpation, but computed tomography (CT) enables evaluation of deep lymph nodes. Accordingly, we investigated associ-ations between maximal lymph node diameter and plasma concentrations of C-reactive protein (CRP), a sensitive inflammatory marker, targeting three deep lymph nodes (sternal, cranial me-diastinal, and internal iliac). We evaluated data from small dogs with non-neoplastic diseases that underwent synchronous CT and blood biochemistry at our institution. We found that cranial mediastinal lymph node diameter was significantly greater in dogs with clinically elevated CRP than those with clinically unremarkable CRP (CRP 0.7-7.0< mg/dL vs.
Disease Conditions and Health Information Needs among Injecting Drug Users: Engendering Research to Policy and Interventions Initiatives
Authors: Njoku Chris Chukwunyere , Ani Judith Ifunanya , Katende-Kyenda Norah Lucky
Published: October 2024

Background:
Injecting drug use is a global public health challenge with multifaceted consequences, not only for Injecting Drug Users (IDUs) but also for society at large. Their vulnerability necessitates a deeper exploration of their health information needs, aiming to leverage evidence-based research to shape effective interventions for their well-being.
Method:
This study employed a qualitative method to gain insights into disease conditions and health information needs of IDUs. Through purposive sampling, 71 in-depth interviews were conducted and thematically analyzed.
Results:
The study included 43 males and 28 females, predominantly aged 26-35 (59.2%) who had poor socioeconomic status. The most commonly reported disease conditions varied and included malaria, infections and diabetes. Findings revealed a complex understanding of their disease conditions and management practices. Participants emphasized a critical need for access to reliable and comprehensive health information, while also highlighting the significant barriers they face in obtaining this information. Additionally, their preference for receiving health information in video formats, written articles, and through outreach programs underscored their desire for knowledge to make informed decisions. As co-creators and stakeholders in their health, participants expressed a clear demand for sustainable and free healthcare, mosquito nets, and regular outreach programs.
Conclusions:
While drug use presents a significant public health issue, effective interventions for IDUs require a multifaceted approach that begins with understanding their perspectives and actively involving them as co-creators of their health solutions. Abandoning this population contradicts the Sustainable Development Goals' mandate to ensure no one is left behind. Thus, all stakeholders must prioritize inclusive and participatory approaches to address the complex health information needs of IDUs.
Multidimensional Visualization of Sound-Sense Harmony for Shakespeare's Sonnets Classification
Authors: Delmonte Rodolfo , Busetto Nicolò
Published: October 2024

In this paper we focus on the association of sound and sense harmony in the collection of sonnets written by Shakespeare in the XVI° beginning of XVII° century and propose a new four-dimensional representation to visualize them by means of the system called SPARSAR. To compute the degree of harmony and disharmony, we have automatically extracted the sound grids of all the sonnets and have combined them with the semantics and polarity expressed by their contents. We explain in details the algorithm and show the representation of the whole collection of 154 sonnets and comment them extensively. In a second experiment, we use data from manual annotation of the sonnets for Satire detection using the Appraisal Theory Framework, to gauge the system's accuracy in matching these data with the output of the automatic algorithm for sound-sense harmony. The results obtained with an 94.6% accuracy confirm the obvious fact that the poet has to account for both sound and meaning in the choice of words.
Lifetime Prediction of Single Crystal Nickel-based Superalloys
Authors: KASAR Çağatay , Kaftancıoglu Utku , BAYRAKTAR Emin , Aslan Ozgur
Published: October 2024

Single crystal nickel-based superalloys are extensively used in turbine blade applications 1
due to their superior creep resistance compared to their polycrystalline counterparts. With the high 2
creep resistance, High Cycle Fatigue (HCF) and Low Cycle Fatigue (Single crystal nickel-based 3
superalloys are extensively used in turbine blade applications due to their superior creep resistance 4
compared to polycrystalline counterparts. As a result, fatigue becomes the primary failure mechanism 5
in such applications. Specifically, High Cycle Fatigue (HCF) and Low Cycle Fatigue (LCF) are of 6
significant concern under these conditions. This study investigates the fatigue life prediction of 7
CMSX-4 using a combined crystal plasticity and lifetime assessment model. The constitutive crystal 8
plasticity model simulates the anisotropic, rate-dependent deformation behavior of CMSX-4, while 9
a modified Chaboche damage model is used for lifetime assessment, incorporating anisotropy by 10
focusing on cleavage stresses on active slip planes. Both qualitative and quantitative data obtained 11
from HCF experiments on single crystal superalloys with notched geometry were used to validate 12
the model. Furthermore, artificial neural networks (ANNs) were employed to enhance the accuracy 13
of lifetime predictions across varying temperatures by analyzing the stress-strain data obtained from 14
simulations. The integration of crystal plasticity, damage mechanics, and ANNs resulted in accurate 15
predictions of fatigue life and crack initiation points under complex loading conditions of single 16
crystal superalloys.
The Practice and Reflection on Rammed Earth Architecture: A Case Study of "Tiles Hill — New Reception Center for the Xiangshan Campus"
Authors: Chen Lichao , Lan Zhiyu , Ouyang Dan , Shi Boren , Chen Peiyin , Wang Mingzhe , Xie Tianyi
Published: October 2024

This article documents the rammed earth construction practices undertaken by Wang Shu’s team during the “Tiles Hill — New Reception Center for the Xiangshan Campus” project. This building not only embodies the principle of “learning from nature” inherent in traditional vernacular construction but also profoundly interprets the concept of “the craftsmanship way”. Traditional rammed earth techniques represent a sustainable construction method, with a core focus on material composition and building techniques. Through more than a decade of continuous research, the team, combining modern technology, explored how to revive this nearly forgotten vernacular construction method in contemporary architecture. The article further highlights that the recyclability of rammed earth techniques is not only reflected in the reuse of materials but also in the material‘s inherent friendliness and non-destructive nature to the natural environment. This process showcases the fusion of traditional craftsmanship with modern construction technology, as well as the inheritance and innovation of the artisan spirit.
Study on Fabrication and Properties of Polyvinyl Alcohol—Chitosan Nanofibers from Aqueous Solution with Acetic Acid and Ethanol by Electrospinning Method
Authors: Vu Thi Hong Nhung , Morozkina Svetlana N. , Olekhnovich Roman O. , Podshivalov Aleksandr V. , Uspenskaya Mayya V.
Published: October 2024

Drug–targeted integrated nanofiber development is a current research trend. Potential materials for the development of such systems include Poly (vinyl alcohol) (PVA) and chitosan (CS) nanofibers, which are traditionally fabricated by electrospinning aqueous solutions of these polymers with acetic acid. To improve drug integration, the binary-solvent system was converted into a multi–solvent system by the adding of ethanol. This caused noticeable shifts in the solvent system's solubility parameter, the interaction of the various component forces, and optical and rheological properties of PVA-CS solution. The results show that solution containing 4% PVA, 3% CS, 15% ethanol and 45% acetic acid is optimal for the increasing of manufacturing productivity, improving the morphology and diameter of PVA–CS nanofibers, without changing in chemical bonding composition. The XRD spectrum revealed that the alterations in the crystal lattice and diameter of the PVA–CS nanofibers leaded to the variation in their thermal and tensile properties.
Mapping Spatial Patterns of Child Labor in Sindh: Insights from Regression Analysis of MICS Data
Authors: MAQBOOL NADIA , Newton Paul , Shah Tayyab
Published: October 2024

Child labor remains a predominant issue in Pakistan, despite the country’s existing policies and frameworks aimed at abolishing it. Through this study, we investigated the child labor distribution across Sindh and examined the factors that shape the regional patterns. We analyzed the data available through the 2018-19 Sindh Multiple Indicator Cluster Surveys, MICS 6, from 20,030 households with 40,633 children in the 5-17 age bracket. By applying prevalence statistics, chi-square tests, and regression modeling to these data, we investigated the trends in child labor prevalence, identified the correlation between child labor and various socioeconomic and geodemographic variables, and finally mapped the geospatial patterns of child labor across districts in Sindh, enabling us to identify and prioritize the districts in need of immediate intervention. The findings revealed that about 20 percent of the children in Sindh are engaged in child labor, with a high prevalence among males and in the 15-17 age bracket. Moreover, poverty and rural dwellings raise this issue. Other socioeconomic and geographic factors reinforcing this issue are lack of education among children, mothers or caretakers, and mothers’ or caretakers’ functional difficulties. However, children’s functional difficulties lower their prevalence in labor. Among the 29 districts across Sindh, Kambar Shahdadkot has the highest prevalence of child labor.
Exploring Carcinoid Syndrome in Neuroendocrine Tumors: Insights from a Multidisciplinary Narrative Review
Authors: Marasco Matteo , Romano Elena , Arrivi Giulia , Prosperi Daniela , Rinzivillo Maria , Caruso Damiano , Mercantini Paolo , Rossi Michele , Faggiano Antongiulio , Panzuto Francesco
Published: October 2024

Carcinoid syndrome (CS) is a rare condition associated with neuroendocrine tumors (NETs), particularly those originating in the gastrointestinal tract, which secrete bioactive substances like serotonin. The management of CS requires a multidisciplinary approach due to its complex clinical manifestations, including flushing, diarrhea, bronchospasm, and carcinoid heart disease. Optimal care involves collaboration between several professional figures like oncologists, endocrinolo-gists, gastroenterologists, surgeons, and dietitians. Currently, a wide range of treatments are available focused on both symptom control and tumor burden reduction. Somatostatin analogs (SSAs) are the first-line therapy for symptom relief. Still, in patients with progressive disease or refractory CS, other options include targeted therapies, peptide receptor radionuclide therapy (PRRT), liver-directed therapies, and surgical resection when feasible. Furthermore, management of complications related to prolonged serotonin release and malnutrition as a result of exocrine pancreatic insufficiency, post-surgical conditions, vitamin deficit, and chronic diarrhea often re-quires early detection to mitigate symptoms and improve the quality of life in these patients. The complexity of CS necessitates individualized care and continuous coordination among specialists to optimize outcomes and enhance patient well-being.
Zero Trust VPN (ZT-VPN): A Cybersecurity Framework for Modern Enterprises to Enhance IT Security and Privacy in Remote Work Environments
Authors: Zohaib Syed Muhammad , Sajjad Syed Muhammad , Iqbal Zafar , Yousaf Muhammad , Haseeb Muhammad , Muhammad Zia
Published: October 2024

Modern organizations have migrated from localized physical offices to work-from-home environments. This surge in remote work culture has exponentially increased the demand and usage of Virtual Private Network (VPN), which permits remote employees to access corporate offices effectively. However, the technology raise concerns including security threats, latency, throughput, and scalability, among others. These Newer generation threats are more complex and frequent, which makes the legacy approach to security ineffective. The research paper gives an overview of contemporary technologies used across enterprises including VPN and Zero Trust Network Access (ZTNA), Proxy Servers, Secure Shell (SSH) Tunnels, Software-defined wide area network (SD-WAN), and Secure Access Service Edge (SASE). This paper also presents a comprehensive cybersecurity framework named Zero Trust VPN (ZTVPN), which is a VPN solution based on Zero Trust principles. The proposed framework is aimed to enhance IT security and privacy for modern enterprises in remote work environments and addresses concerns of latency, throughput, scalability, and security. Finally, the paper demonstrates the effectiveness of the proposed framework in various enterprise scenarios, highlighting its ability to prevent data leaks, manage access permissions, and provide seamless security transitions. The findings underscore the importance of adopting ZTVPN to fortify cybersecurity frameworks, offering an effective protection tool against contemporary cyber threats. This research serves as a valuable reference for organizations aiming to enhance their security posture in an increasingly hostile threat landscape.
Production and Characterization of Hybrid Al6061 Nanocomposites
Authors: Monteiro Beatriz , Simões Sónia
Published: October 2024

Aluminum-based hybrid nanocomposites, particularly Al6061 alloy, have gained prominence in the scientific community due to their unique properties, such as high strength, low density, and good corrosion resistance. The production of these nanocomposites involves incorporating reinforcing nanoparticles into the matrix to improve its mechanical and thermal properties. Al6061 hybrid nanocomposites were manufactured using powder metallurgy. Silicon carbide (SiC) ceramic nanoparticles and carbon nanotubes (CNTs) were used as reinforcements. Characterization of the Al6061 hybrid nanocomposites involved analysis of their mechanical properties, such as hardness and tensile strength, as well as their micro and nanometric structures. Techniques such as optical microscopy (OM) and scanning electron microscopy (SEM) with electron backscatter diffraction (EBSD) were used to study the distribution of nanoparticles, the grain size of the microstructure, and the presence of defects in the matrix. The results showed that adding reinforcing nanoparticles can significantly improve the properties of Al6061, depending on the amount and type of nanoparticles. However, the agglomeration of the nanoparticles and the difficulty of uniform dispersion remain challenges in manufacturing these nanocomposites. The microstructural evaluation revealed significant grain refinement and improved homogeneity in the hybrid composites, resulting in enhanced mechanical performance. Tensile tests demonstrated that the hybrid Al6061/CNTs/SiC composite exhibited the highest tensile strength of 104 MPa, compared to 63 MPa for the unreinforced Al6061 matrix.
Mitochondrial Genomes of Mammals from the Brazilian Cerrado and Phylogenetic Considerations for the Orders Artiodactyla, Carnivora, and Chiroptera (Chordata: Mammalia)
Authors: Pimentel Luiz Guilherme Pereira , Soares Rafael Augusto Silva , de Assis Priscila Martins , Batista da Silva Iuri , Rodrigues-Oliveira Igor Henrique , Rocha Renan Rodrigues , de Miranda Vinicius Gonçalves , Bassam Laiena Luz , Kavalco Karine Frehner , Menegídio Fabiano Bezerra , Garcia Caroline , Pasa Rubens
Published: October 2024

We assembled and annotated the complete mitochondrial genomes of Lycalopex vetulus (hoary fox), Cerdocyon thous (bush dog), Tayassu pecari (white-lipped peccary), and Tadarida brasiliensis (Brazilian free-tailed bat). The mitogenomes exhibited typical vertebrate structures, containing 13 protein-coding genes, 22 tRNA genes, two ribosomal RNA genes, and a D-loop region. Phylogenetic reconstruction using the 13 protein-coding genes revealed robust relationships among species within Carnivora, Chiroptera, and Artiodactyla, corroborating previous studies. Secondary structure analysis of tRNAs and ribosomal genes showed slight variations among species of the same order. This research highlights the importance of mitochondrial genomics in understanding the evolutionary relationships and genetic diversity of Cerrado mammals, contributing to conservation efforts for this unique ecosystem.
Hyperhomocystinemia and Disease. Is 10μmol/L a Suitable New Threshold Limit?
Authors: Marroncini Giada , Martinelli Serena , Menchetti Sara , Bombardiere Francesco , Martelli Francesco Saverio
Published: October 2024

Hyperhomocysteinemia (HHcy) is a medical condition characterized by an abnormally high level of homocysteine (Hcy) in the blood. Homocysteine is a toxic sulfur-containing amino acid that is produced during the metabolism of methionine. Under normal circumstances, Hcy is recycled back to methionine via the remethylation pathway, through the action of various enzymes and vitamins, particularly folic acid (vitamin B9) and B12 used when intracellular methionine levels are low, thus restoring the necessary levels to correctly maintain active protein synthesis. A second pathway, used in cases of intracellular methionine excess, (the trans-sulfuration pathway) is the one that recicles Hcy into cysteine (a precursor of glutathione), first passing through cystathionine (via the enzyme cystathionine beta-synthase), a reaction that requires vitamin B6 in its active form. HHcy has been identified as a risk factor for a variety of disorders, including cardiovascular diseases, multiple sclerosis, diabetes, Alzheimer's and Parkinson's diseases, osteoporosis and cancer. However, it remains unclear whether the slightly elevated concentration of Hcy (Hcy 7-10 μmol/L) is a causative factor or simply a marker of these pathologies. In human plasma, the concentration of Hcy ([Hcy]) is classified in mild (15 to 30 μmol/L), moderate (30 to 100 μmol/L), and severe (greater than 100 μmol/L). Interestingly, many laboratories continue to consider 25 μmol/L as normal. This review seeks to examine the controversial literature regarding the normal range of HHcy and emphasizes that even a [Hcy] level of 10 μmol/L may contribute to the development of several diseases, aiming to discuss whether it would be appropriate to lower the threshold of HHcy normal values.
Climate Change Adaptation in the Gulf of Mexico and Its Sustainable Development Contribution
Authors: Del Valle-Cárdenas Beatriz , Valdés-Rodríguez Ofelia Andrea , Conde Cecilia , Zavaleta-Lizárraga Leonel
Published: October 2024

Sustainable development and climate change are related challenges for humanity because a good quality of life in the present and the future for human, natural, and economic systems must be achieved through the capacity to face climate change. In this context, this research aimed to identify the climate change adaptation measures contribution to the sustainable development aspects: environmental, social, and economic, applied to a case study, "The Coastal Watershed Conservation Project in the Context of Change Climate (C6)" through the Sustainable Development Goals (SDG) evaluation framework. The primary data collection was carried out directly from the project reports and the reports of 29 interventions in the communities. The results indicate that the adaptation actions implemented through the C6 project did contribute to sustainable development, to a greater extent, in the social aspect, followed by environmental aspects and later by economic ones; therefore, it can be concluded that one way to achieve sustainable development can be through the implementation of adaptation actions to face climate change.
Clinical Trial on the Use of Biofeedback Prior to Robotic Prostate Surgery
Authors: Lorenzo García Carlos , Gúzman Bellodas Ana Lucía , Coronel Rosado Paloma
Published: October 2024

Background and Objective: Prostate cancer is the leading cancer affecting males. The treatment is radical prostatectomy, with its main complications being urinary incontinence and erectile dysfunction. Various studies demonstrate that exercises targeting the pelvic floor muscles help improve these complications, although sometimes, these exercises are not performed correctly, rendering the effort ineffective. To avoid this circumstance, a study comparing a group with biofeedback‐guided learning led by a nurse expert in the technique against another without this learning method is designed. Methods: Randomized clinical trial with two arms; the study group underwent two biofeedback sessions prior to surgery for the identification of the muscles to work on, compared to another group where no prior learning of the muscles was done. These fifteen‐minute sessions involved the placement of electromyography sensors for muscle contraction detection. Both groups followed the same care process where the protocol for reinforcing the perineal muscles after the removal of the urinary catheter was explained. Data were collected through validated questionnaires. Key Findings and Limitations: The results obtained show a clear improvement in the prevalence of urinary incontinence and erectile dysfunction in patients who underwent two biofeedback sessions prior to surgery, as well as a high rate of adherence and satisfaction with the care received in both the control group and the study group, regardless of whether they experienced urinary incontinence and/or erectile dysfunction. Conclusions and Clinical Implications: Biofeedback is a safe method that helps reduce complications after prostatectomy.
Smart Transportation and Carbon Emission from the Perspective of Artificial Intelligence, Internet of Things, and Blockchain: A Review for Sustainable Future
Authors: Kashem Mohammad Abul , Shamsuddoha Mohammad , Nasir Tasnuba
Published: October 2024

Background: Transportation logistics is undergoing a transformative shift driven by innovative technologies to overcome human-generated obstacles. Governments and city authorities are increasingly keen on these technological advancements because they can reduce traffic and carbon emissions despite logistical and legal hurdles. Methods: Employing a methodology grounded in IMRAD principles and the PRISMA framework, guided by seminal work of Paraskevas et al., this study critically reviews existing literature to examine and integrate advancements in road transportation and carbon emission reduction through intelligent technologies such as Artificial Intelligence (AI), Blockchain (BC), and Internet of Things (IoT). This study also considers other issues like eliminating traffic congestion, improving traffic control systems, incorporating cutting-edge logistical technologies, and transforming policies in light of the development of smart cities. Results: The findings shed light on strategies to expedite travel and streamline logistics, fostering economic equity by adopting innovative, cost-effective, sustainable, and environmentally friendly transport solutions. Conclusion: This research sets the stage for future studies to incorporate additional variables and conduct quantitative assessments, thus paving the way for optimized enhancements in modern city transportation systems.
Ascorbic Acid Ameliorates Molecular and Developmental Defects in Human Induced Pluripotent Stem Cell and Cerebral Organoid Models of Fragile X Syndrome
Authors: Gunapala Keith , Gadban Aseel , Noreen Faiza , Schär Primo , Benvenisty Nissim , Taylor Verdon
Published: October 2024

Fragile X Syndrome (FX) is the most common form of inherited cognitive impairment and falls under the broader category of Autism Spectrum Disorders (ASD). FX is caused by a CGG trinucleotide repeat expansion in the non-coding region of the X-linked Fragile X Messenger Ribonucleoprotein 1 (FMR1) gene, leading to its hypermethylation and epigenetic silencing. Animal models of FX rely on the deletion of the Fmr1 gene which fail to replicate the epigenetic silencing mechanism of the FMR1 gene seen in human patients. Human stem cells carrying FX repeat expansions have provided a better understanding of the basis of the epigenetic silencing of FMR1. Previous studies have found that 5-Azacytidine (5Azac) can reverse this methylation; however, 5Azac can be toxic and may limit its therapeutic potential. Here, we show that the dietary factor Ascorbic Acid (AsA) can reduce DNA methylation in the FMR1 locus and lead to an increase in FMR1 gene expression in FX iPSCs and cerebral organoids. In addition, AsA treatment rescued neuronal gene expression and the morphological defects observed in FX iPSC-derived cerebral organoids. Hence, we demonstrate that the dietary co-factor AsA can partially revert molecular and morphological defects seen in human FX models in vitro. Our findings have implications for the development of novel therapies for FX in the future.
The Economic Net-Zero Energy Mix in the Industrial Complex to Accelerate RE 100 Policy; Lessons from Empirical Analysis
Authors: Kang MinHyeok , Park SooJin , Cho KangWook
Published: October 2024

This study investigates the optimal energy mix for industrial complexes by integrating renewable energy systems, decarbonization strategies, and sector coupling technologies, using actual load data from the Balan Industrial Complex in Korea. Five different energy scenarios were analyzed, ranging from a conventional base case (Scenario 1) to progressively more advanced configurations incorporating renewable sources (Scenarios 2 to 5). The findings reveal that Scenario 5, which combines sector coupling, hydrogen-based systems, and decarbonization technologies, is the most cost-effective and environmentally sustainable, achieving the lowest Net Present Cost (NPC) and significantly reducing CO2 emissions. To enhance the study’s relevance, electricity prices and CO2 emission costs from Korea, the United States, and Germany were considered, revealing that regional electricity tariffs and carbon pricing mechanisms greatly influence the economic feasibility of the proposed energy systems. Despite the higher initial investment for renewable-based setups, Scenario 5 proved to be the most economically viable over the long term when factoring in operational costs and emission penalties, underlining the potential for renewable integration to achieve both cost savings and environmental benefits. These results provide valuable insights for policymakers and industry leaders aiming to adopt sustainable, cost-effective energy solutions, highlighting the necessity of tailored strategies to optimize energy systems for industrial applications. This research thus offers a meaningful contribution to the field of sustainable energy transitions, suggesting that sector coupling and renewable integration hold significant promise for enhancing the efficiency and sustainability of energy systems in diverse industrial areas.
High Calorie Intake Predicts Successful Weaning in Patients With Prolonged Mechanical Ventilation at a Respiratory Care Center: A Single-center Retrospective Analysis
Authors: Huang Chen-Cheng , Wang Jiun-Long , Jeng Shiu-Hwa , Chen Chao-Jung , Yang Wen-Ching , Wang Chen-Yu
Published: October 2024

Background/Objectives: Successfully weaning patients with prolonged mechanical ventilation (PMV: ≥21 days) from ventilators is a challenging process, and proper nutritional support is a crucial factor in this process. Previous studies have highlighted the significance of higher albumin levels and increased daily protein intake in predicting successful weaning among PMV patients. However, the importance of calorie intake in patients with PMV has remained unclear. Methods: This retrospective study included 1,038 adult patients (age >18 years) who underwent endotracheal intubation or tracheostomy and required mechanical ventilation for >21 days. Baseline characteristics, nutritional variables, disease severity, management factors and patient outcomes (hospital stay and duration of ventilator use) were analyzed between the weaning-failure and weaning-success sub-cohorts and factors associated with successful weaning were identified. Results: The participants had mean APACHE II score of 18 and a Day 1 SOFA score of 4.9 and the successful weaning rate was 70%. Multivariate logistic regression analysis revealed that higher albumin and hemoglobin levels, the absence of shock, less positive fluid status, and higher calorie intake were associated with a higher successful weaning rate; an average calorie intake higher than 25 kcal/kg/day during respiratory care center (RCC) stay predicted better successful ventilator weaning. Conclusions: Higher daily calorie intake in the RCC is associated with more successful ventilator weaning, and an average intake exceeding 25 kcal/kg/day is recommended for optimizing the weaning process.
Reasons for Non-Acceptance of The Covid-19 Vaccination by Some Muslims in The Three Southern Border Provinces of Thailand
Authors: Tepsing Punya , Laeheem Kasertchai , Chelong Abdullah
Published: October 2024

(1) Background: This qualitative research had the objective to study the reasons for non-acceptance of the COVID-19 vaccination by some Muslims in the three southern border provinces of Thailand; (2) Methods: Data collection was done in a community of Pattani province and communities along the Thai-Malaysian border of Narathiwat province by observation and in-depth interview. The 40 key informants were community Muslims, religious leaders and public health workers selected by purposive sampling according to their knowledge of the situation. The data were tested by triangulation and analytical descriptive conclusion; (3) Results: Some Muslims did not accept the COVID-19 vaccination for six important reasons: 1) The belief that the village health volunteers (VHV) who persuaded them to have vaccination only hoped for the state reward. 2) Death is the will of God so vaccination is not necessary. 3) Every kind of vaccine is not halal. 4) Vaccination is the cause of weakened ability. 5) Vaccination had caused death, and 6) Fear of re-vaccination impact because they had the vaccination in Malaysia. (4) Conclusions Involving religious leaders and fostering Thailand-Malaysia cooperation are key to combating health misinformation. Culturally sensitive health education can improve public health responses in the southern border region.
Implementation of the 3‐30‐300 Green City Concept: Warsaw Case Study
Authors: Wyrzykowski Bartłomiej , Mościcka Albina
Published: October 2024

In recent years, the "3-30-300" concept by Professor Cecil Konijnendijk has been gaining popularity, outlining what makes a city "green" and what we should strive for. This concept suggests that from every apartment, at least 3 trees should be visible, 30% of the city's surface should be covered with greenery, and the nearest park or forest should be no more than 300 meters away. However, the lack of detailed guidelines makes the implementation of this concept a significant challenge. The goal of the research presented here was to adapt this concept for Warsaw (Poland) and assess whether it can be considered a green city. I defined parameters such as the maximum distance for visible trees as 20 meters and determined what counts toward the 30% green areas. The results showed that 57.82% of apartments in Warsaw have a view of at least 3 trees, while only 5.44% do not meet this criterion, and the rest meet it only partially. Parks and forests cover 19.95% of the city, while all green areas combined cover 42.01%. Additionally, 45% of buildings are located within 300 meters from a park or forest. Ultimately, full compliance with the "3-30-300" concept applies to 22.19% of buildings, while only 12.66% meet the criteria when considering only parks and forests. This indicates that, while Warsaw is relatively green, not all of its areas fulfill these criteria.
Industrial Organization in Flux: Challenges in Merger Analysis and the Need for Disciplinary Reinvention
Authors: Charan Naresh
Published: October 2024

This article examines the pressing challenges facing Industrial Organization (IO) in the contemporary economic landscape, with a particular focus on merger analysis. The rapid pace of technological advancement and emergence of novel business models have strained conventional analytical frameworks. We explore how the rise of digital platforms, data as a competitive asset, and multi-sided markets have exposed gaps in our understanding of market power and consumer welfare. Through an examination of empirical methodologies, including structural models and difference-in-differences approaches, we highlight the limitations of current techniques in accurately predicting merger outcomes. The paper argues for a disciplinary reinvention of IO, drawing upon insights from behavioural economics, network theory, and data science. We posit that an interdisciplinary approach is essential for developing more robust analytical tools capable of navigating the complexities of modern markets and informing effective antitrust policy in an increasingly interconnected global economy.
Effects of Including Resource Intermittency ofWind and Solar Technologies in OSeMOSYS Modelling Tool
Authors: Ferreira-Martínez Darío , López-Agüera Ángeles
Published: October 2024

This study proposes a simplified and fully renewable energy system, composed of two intermittent energy sources (wind and solar) and a long-duration energy storage technology using pumped hydro storage. The impact of intermittency on the medium- and long-term design of the energy matrix is evaluated using the OSeMOSYS model. The findings indicate that omitting intermittency results in a significant underestimation of costs and an inability to manage the variability of renewable energies effectively. Incorporating intermittency, although increasing the installed capacity and the amount of wasted energy, enhances the system's reliability. The inclusion of energy storage demonstrates the need to redistribute installed capacity in favor of solar energy to meet higher daytime demand. The study concludes that considering intermittency and storage is crucial for improving the accuracy of energy models, reducing losses, and optimizing operational costs in renewable energy-based systems.
Coopetition Networks for SMEs: A Lifecycle Model Grounded in Service-Dominant Logic
Authors: Da Silva Agostinho , Cardoso Antonio J.Marques
Published: October 2024

Small and Medium Enterprises (SMEs) play a crucial role in the European economy, yet their ability to sustain coopetition networks—collaborative arrangements between competitors—remains underexplored. This study addresses the gap by developing a reference model and an instantiation methodology for coopetition networks explicitly tailored to the needs of SMEs, grounded in the Service-Dominant (S-D) Logic framework. The reference model provides a structured approach for SMEs to coopetition throughout their entire lifecycle, from initiation to dissolution, focusing on value co-creation and resource exchange. To validate the model, a Proof-of-Concept (PoC) was conducted in the Portuguese ornamental stone sector, demonstrating significant improvements in manufacturing effectiveness and confirming the model’s practical applicability. The findings highlight the potential of coopetition networks to enhance the competitiveness and performance of SMEs. While the reference model successfully addresses key challenges SMEs face, the study acknowledges certain limitations. It suggests areas for further research, particularly regarding the long-term sustainability of these networks and the role of interpersonal dynamics.
Comparing the Relative Efficacy of Generalized Estimating Equations, Latent Growth Curve Modeling, and Area Under the Curve with a Repeated Measures Discrete Ordinal Outcome Variable
Authors: Rodriguez Daniel , Verma Ryan , Upchurch Juliana
Published: October 2024

Researchers are often interested in the effects of change in one variable on change in a second variable, requiring the repeated measures of two variables. There are several multivariate statistical methods appropriate for this research design, including generalized estimating equations (GEE) and latent growth curve modeling (LGCM). Both methods allow for variables that are not continuous in measurement level and not normally distributed. More recently, researchers have begun to employ area under the curve (AUC) as a viable alternative when the nature of change is less important than the overall effect of time on repeated measures of a random variable. The research showed that AUC is an acceptable alternative to LGCM with repeated measures of a continuous and a zero-inflated Poisson random variable. However, less is known about its performance relative to GEE and LGCM when the repeated measures are ordinal random variables. Further, no study to our knowledge has compared AUC to LGCM or GEE when there are two longitudinal processes. We thus compared AUC to LGCM and GEE, assessing the effects of repeated measures of psychological distress on repeated measures of smoking. Results suggest AUC performed equally well to both methods, although missing data management is an issue with both AUC and GEE.
The Use of Artificial Intelligence in Political Decision-Making
Authors: Vera Hoyos Carlos , Cárdenas Marín William
Published: October 2024

The use of artificial intelligence for political decision-making is in an early stage of development; however, there are several questions that arise about its current and hypothetical uses. These questions often come from areas of philosophy such as ethics, political philosophy, and logic. In this article, first, the theoretical approaches from which the current and hypothetical uses of artificial intelligence for political decision-making can be interpreted will be presented. These approaches include realistic politics, bureaucracy theory, and conflict theory. Then, the possible uses that artificial intelligence could have in politics, as well as the attempts that have already been made, will be discussed. Subsequently, the logical, ethical, and political problems that the use of artificial intelligence for political decision-making could cause will be outlined. Next, a basic experiment will be presented on what kind of political decisions artificial intelligence could suggest. Finally, the points previously discussed will be analyzed from the mentioned theories. The conclusion reached was that, at the present time, the use of artificial intelligence for political decision-making could align more with the approaches of Machiavelli, focusing primarily on achieving goals such as maintaining power, while downplaying moral dilemmas.