bluuebunny/crossref_metadata_2025 huggingface dataset:
MASLD-mimicking microenvironment drives an aggressive phenotype and represses IDH2 expression in hepatocellular carcinoma
Authors: Korhan Peyda , Bağırsakçı Ezgi , Islakoğlu Yasemin Öztemur , Solmaz Gülhas , Sarıkaya Burcu , Nart Deniz , Yılmaz Funda , Atabey Neşe
Published: May 2024

Aim: Hepatocellular carcinoma (HCC) in patients with Metabolic dysfunction-associated steatotic liver disease (MASLD, formerly NAFLD) is expected to be a significant public health issue in the near future. Therefore, understanding the tumor microenvironment interactions in MASLD-induced HCC is crucial, and the development of relevant preclinical models is needed. Hence, we aimed to determine the effects of a MASLD-mimicking microenvironment (ME) on the aggressiveness of HCC cells and identify target genes that drive HCC by developing a 3D-in vitro co-culture system.

Methods: A 3D co-culture system mimicking the MASLD-ME was created with LX-2 liver stellate cells embedded in 3D collagen gel in the lower and SNU-449 HCC cells on the upper parts of Boyden chambers, and cells were grown in an optimized metabolic medium (MM). The effects of NAFLD-ME on motility, sphere formation, proliferation, and cell cycle of SNU-449 cells were tested by Boyden chamber, 3D sphere formation, XTT, and Flow cytometry, respectively. The protein expression/activation profiles of motile SNU-449 cells that passed the membrane toward NAFLD-ME or control condition were investigated using a multiplex protein profiling system DigiWest and confirmed with RT-PCR, WB, and Flow cytometry. IDH2 levels were examined in primary human HCC and adjacent liver tissues by IHC and in TCGA and CPTAC cohorts by bioinformatics tools.

Results: MM treatment increased fat accumulation, motility, and spheroid formation of both SNU-449 and LX-2 cells. MASLD-ME induced activation of LX2 cells, leading to the formation of bigger colonies with many intrusions compared to related controls. DigiWest analysis showed that metabolism-related proteins such as IDH2 were the most affected molecules in SNU-449 cells that migrated toward the MASLD-ME compared to those that migrated toward the control condition. Downregulation of IDH2 expression was confirmed in SNU-449 cells grown in MASLD-ME, in primary HCC tumor samples by IHC, and in HCC patient cohorts by bioinformatics analysis.

Conclusion: This study reports the potential involvement of MASLD-ME in the downregulation of IDH2 expression and promoted motility and colonization capacity of HCC cells. The 3D MASLD model presented in this study may be useful in investigating the mechanistic roles of MASLD-ME in HCC.
Faecalibacterium prausnitzii A2-165 metabolizes host- and media-derived chemicals and induces transcriptional changes in colonic epithelium in GuMI human gut microphysiological system
Authors: Huang Yu-Ja , Lewis Caroline A. , Wright Charles , Schneider Kirsten , Kemmitt John , Trumper David L. , Breault David T. , Yilmaz Omer , Griffith Linda G. , Zhang Jianbo
Published: May 2024

Aim: Recently, a GuMI gut microphysiological system has been established to coculture oxygen-intolerant Faecalibacterium prausnitzii (F. prausnitzii ) A2-165 with organoids-derived primary human colonic epithelium. This study aims to test if this GuMI system applies to different donors with different healthy states and uses metabolomics to reveal the role of gut microbes in modulating host- and diet-derived molecules in the gut lumen.

Methods: Organoids-derived colonic monolayers were generated from an uninflamed region of diverticulitis, ulcerative colitis, and Crohn’s disease patients and then integrated into the GuMI system to coculture with F. prausnitzii A2-165 for 2 to 4 days. Apical media was collected for metabolomic analysis. Targeted metabolomics was performed to profile 169 polar chemicals under three conditions: conventional static culture without bacteria, GuMI without bacteria, and GuMI with F. prausnitzii . The barrier function of monolayers was measured using transepithelial resistance.

Results: GuMI successfully cocultured patient-derived monolayers and F. prausnitzii for up to 4 days, with active bacterial growth. Introducing flow and oxygen gradient significantly increases the barrier function, while exposure to F. prausnitzii slightly increases the barrier function. Targeted metabolomics screened 169 compounds and detected 76 metabolites, of which 70 significantly differed between at least two conditions. F. prausnitzii significantly modulates the levels of nucleosides, nucleobases, and amino acids on the apical side. Further analysis suggests that F. prausnitzii changes the mRNA level of 260 transcription factor genes in colonic epithelial cells.

Conclusion: The GuMI physiomimetic system can maintain the coculture of F. prausnitzii and colonic epithelium from different donors. Together with metabolomics, we identified the modulation of F. prausnitzii in extracellular chemicals and colonic epithelial cell transcription in coculture with human colonic epithelium, which may reflect its function in gut lumen in vivo .
DEVELOPMENT OF E-MODULE SETS-BASED APPROACH ASSISTED WITH FLIP HTML5 MEDIA TO IMPROVE INDEPENDENT LEARNING AND LEARNING KNOWLEDGE OUTCOMES ON CHEMICAL EQUILIBRIUM MATERIAL
Authors: Norlaila Norlaila , Saadi Parham , Winarti Atiek , Leny Leny
Published: May 2024

The lack of utilization of resources is the main factor for the low level of student learning independence, yet in reality, teachers still struggle to connect chemical concepts with everyday life contexts. The SETS approach-based e-module is an innovation in enhancing students' learning independence and learning outcomes. This study aims to determine the validity and practicality of the developed chemistry learning module. This research and development was carried out to produce an e-module product based on the SETS approach assisted by flip HTML5 on chemical equilibrium material that is valid, practical, and effective in increasing independent learning and student knowledge learning outcomes. The development model used is a 4D model which consists of 4 phases, 1) Define, 2) Design, 3) Development, and 4) Disseminate. The purposive sampling technique was used as a sampling technique, namely students of class XI MIPA 1 at SMAN 10 Banjarmasin. Data collection techniques included questionnaires (validation sheets, product practicality, product effectiveness) and learning achievement tests. The results showed that the e-module: (1) is very valid with an average percentage of 90.98%, (2) is very practical, based on readability tests, response questionnaires, and observation sheets with an average score of 4.34, and (3) is effective in increasing learning independence and knowledge learning outcomes in terms of the N-gain learning independence of 0.45 in the medium category and the N-gain of knowledge learning outcomes of 0.71 in the high category. Based on the results obtained, it can be concluded that e-modules based on the SETS approach assisted by HTML5 flip media are appropriate for use in chemistry learning, especially in chemical equilibrium material.
UNDERSTANDING GREEN HOTEL SELECTION IN THE REAL-WORLD SITUATION THROUGH A DECISION-MAKING THEORY: A CASE OF THAILAND
Authors: SANGPIKUL Aswin , THIPBHAROS Piyavit
Published: May 2024

Purpose – Most green hotel studies are dominated by quantitative approaches, which are limited in their ability to understand the complexity of consumers’ choice of green hotel. This research note employs a qualitative method to examine the entire consumers’ decisionmaking process in regard to green hotel selection. Methodology/Design/Approach – This study utilises an interview approach, using the fivestage consumer decision-making model as a framework. Data is analysed through content and thematic analysis. Findings – In the real world, respondents are motivated to travel by their personal needs rather than the attractiveness of a green hotel. To plan for traveling and hotel selection (including a green hotel), they usually search for hotel information from various sources, and it is not necessary for them to choose a green hotel, depending on their personal reasons. Before making a purchase decision, the respondents will compare and evaluate several factors in order to choose a hotel (including green and non-green hotels) which mostly matches their preference and budget. Their decision may be either self-decision or joint decision which may be influenced by other people. In the post-purchase stage, the respondents would evaluate overall hotel services with their expectations, and are likely to revisit a hotel which meets their expectations, rather than concerning environmental obligation. These findings are the reflections from consumers’ actual decision-making process which may challenge the selection of a green hotel, particularly the process of comparison and evaluation of hotel choices. Originality of the research – This is a first study that provides a different perspective on consumers’ choice of an eco-friendly hotel based on the real-life situation using Thailand as a case study.
Testing the mechanistic-universe paradigm using chaotic systems
Authors: Knoll Yehonatan
Published: May 2024

We humans are natural-born engineers. As such, we model after machines not only isolated, naturally occurring systems, but also the basic laws of physics, sharing with machines a local-evolution-of-state `grammar'. However, previous work by the author casts doubt upon this mechanistic paradigm, suggesting that it is to blame for the stubbornness of many open problems in physics. Simple experiments are therefore proposed to identify `non-machines'. In one experiment, `non mechanistic correlations' in the spirit of Bell are sought in a pair of separated but previously coupled (macroscopic) chaotic systems. In another it is tested whether chaotic systems could fuzzily `remember their future' in the sense that a future binary perturbation applied to them could be inferred from their present behavior with probability>1/2. Chaotic systems are chosen as candidates because the long-time application of their (deterministic) mechanistic description is conceptually groundless: All scales are significant and mutually coupled in that regime, down to scales governed by QM, yet the quantum-classical transition remains inexplicable---if only due to the measurement problem. Similarly for non-deterministic chaotic systems, modeled as such purely for defying a short-time deterministic mechanistic description. Should a non mechanistic signature be found in such simple systems, the implications for science as a whole and life sciences in particular cannot be overstated.
Long COVID: A Chronic Shortage of Blood. A Treatment Proposal Based on Reasoned Speculation from Pathophysiological Principles
Authors: Molenaar Pieter A.
Published: May 2024

The signs and symptoms of Long COVID can be explained by a shortage of blood in the body and a resulting deficient blood flow through nearly all organs. This shortage arose during the acute phase of COVID19 by an increased breakdown of haematocytes, to which the liver responds by reducing the production of albumin, in order to prevent a too large decrease in haematocrit.In order to ensure the perfusion of organs that are directly necessary for survival, the body takes the emergency measure of diverting blood from other organs and tissues. The perfusion of the blood-producing organs is also affected by this distribution measure, which hinders the smooth recovery of the total blood volume. The body is stuck in this vicious circle: a shortage of circulating blood hinders the recovery of blood production. This explains the long duration of Long COVID. My proposed treatment of Long COVID focuses on the recovery of the correct volume of blood in the body of the right composition by the intravenous administration of donor blood products, starting with albumin concentrate. A trial treatment can be performed in any hospital without much additional preparations, and has a lower associated risk for the patient than analysing the total blood. A diagnosis ex juvantibus, by therapeutic response, is therefore preferable. I suspect that most Long COVID patients will exhibit a high serum ferritin level as a result of internal haemolysis, and haematocrit and albumin values at the high and low extremes of the reference range because the liver can not keep up with the recovery of the red bone marrow.
Understanding the Impact of Seismic Hazard and Climate Conditions on Multi Criteria–Based Retrofitting of Existing Buildings
Authors: Couto Rita , Mucedero Gianrocco , Bento Rita , Monteiro Ricardo
Published: May 2024

A large share of the reinforced concrete (RC) building stock in Mediterranean countries faces a dual challenge of seismic vulnerability and energy inefficiency, calling for urgent renovation efforts. While energy upgrades have been the focus of previous renovation policies, recent research highlights the critical need for integrated retrofitting solutions that address both structural integrity and energy performance. Multi-criteria decision-making (MCDM) approaches are a promising tool for optimizing the combined choice of these integrated interventions, considering various decision variables (DVs) of economic, social, environmental, and technical nature. To understand the impact of climate and seismic hazard conditions on multi-criteria-based retrofitting assessment, a case-study RC school building is selected and assumed to be located in three distinct climate conditions, cold, mild, and warm, and three seismic hazard levels, low, medium and high. Moreover, given the complexity and challenges of quantifying seismic performance metrics for practitioners, an available simplified (practice-oriented) approach is compared herein with a more thorough research-based one for quantifying the seismic performance of RC buildings within the MCDM framework. Both approaches are applied to the case-study building, considering twelve possible combinations of energy and seismic interventions. The accuracy of the practice-oriented approach and its impact on the retrofitting rankings is evaluated, emphasizing the importance of accessible and efficient evaluation methods in facilitating informed decision-making for building renovation
Poly(Vinyl Alcohol) Chemical-Dehydration to Polyacetylene By Fuming Sulfuric Acid
Authors: Carotenuto Gianfranco , Nicolais Luigi
Published: May 2024

Recently, polyacetylene (PA) and polyenes (polyvinylenes) are receiving renewed scientific attention due to their unique physical properties potentially useful also for a number of non-electrical applications (e.g., hydrogen storage, drug delivery, adsorbent of organic compounds in aqueous systems, gas and liquid separation, oxygen absorbent in gas analysis, etc.). These chemical compounds can be obtained in form of a polyacetylene-PVOH copolymers simply by chemical dehydration of poly(vinyl alcohol) (PVOH), which is a very common type of polymer, widely used in different technological areas. This simple chemical reaction for the large-scale synthesis of PA/polyvinylenes has been investigated by reacting PVOH with fuming sulfuric acid at room temperature. In this process, PVOH, shaped in form of film, is dipped in fuming sulfuric acid (i.e., H2SO4 at 95-97%) and, after complete chemical-dehydration, it has been mechanically removed from the liquid phase by using a nylon sieve. This reduction process leads to a substantial PVOH film conversion to PA as it has been proved by infrared spectroscopy (ATR-mode). Indeed, the ATR spectrum of the reaction product included all characteristic absorption bands of PA. The reaction product has been also characterized by differential scanning calorimetry (DSC) and absorption optical spectroscopy (UV-Vis) in order to evidence respectively its solid-state thermal isomerization (cis-PA conversion to trans-PA) and presence in the structure of conjugated carbon-carbon double bonds of various extensions.
Modelling, Optimising and Improving Metal Foam and Porosity of PEMFCs
Authors: Algaddafi Ali , Hasan Siham
Published: May 2024

The fuel cell particularly the Proton Exchange Membrane Fuel Cell (PEMFC) is a new energy technology that plays a critical role in achieving market viability. The PEMFC has high power density, zero CO2 emissions, and high conversion efficiency. However, with uniform distribution of fuel in PEMFC, we can improve the performance and reduce the cost. The PEMFC will be more efficient and effective in terms of renewable energy as a byproduct only water. Metal foam is used as an alternative for the channels in PEMFC. The model of PEMFC was established by using the ANSYS Fluent 3D Model. Then we proposed four configurations of PEMFC. The outcome demonstrates that Case IV provided outstanding performance if it is compared with the other three cases. In terms of power density, Case IV provided a high power density that is double that of Case I. The porosity of metal foam was investigated. The 0.6 porosity value is found as the optimal value. The uniform distribution of the fuel can be achieved at this value which leads to the outstanding current density.
The Relevance of β-Thalassemia Heterozygosity in Pediatric Clinical Practice: Croatian Experience
Authors: Dordevic Ana , Ugrin Milena , Mrakovcic Sutic Ines , Dembic Zlatko , Pavlovic Sonja , Roganovic Jelena
Published: May 2024

Thalassemia syndromes are common monogenic disorders that represent a significant global health issue. No systematic epidemiological and molecular investigations on thalassemias in Croatian population have been reported to date. This prospective study included 70 children with a presumptive diagnosis of thalassemia, and their 42 first-degree relatives. Molecular characterization was performed using direct sequencing and gap-PCR methods. We identified 46 (30 children and 16 first-degree relatives) β-thalassemia heterozygous carriers from 24 unrelated families, carrying eight different mutations and one hemoglobin variant. Five variants account for approximately 85% of all affected β-globin alleles: Hb Lepore-Boston-Washington (32,6%), HBB: c.93-21G>A (19,6%), HBB:c.315+1G>A (13,1%), HBB:c.92+1G>A (10,9%), and HBB:c.92+6T>C variant (8,7%). A need for more detailed genetic profiling of β-thalassemia carriers is emphasized since genetic modifiers can significantly impact their phenotype. Our study provides important new insights into the relevance of β-thalassemia heterozygosity in the pediatric clinical practice.
Computational Thinking Measurement of CS University Students
Authors: Hijón-Neira Raquel , Pizarro Celeste , French John , Palacios-Alonso Daniel , Çoban Emre
Published: May 2024

In the rapidly evolving landscape of the AI era, the measurement of Computational Thinking ability among Computer Science (CS) University students is of paramount importance. This study introduces UniCTCheck, a novel method designed to assess the main components of Computational Thinking in CS students. Utilizing two key instruments, namely the web application CTScore and the psychometric scale CTProg, this research aims to precisely evaluate seven core components of Computational Thinking and six programming concepts skills essential for CS students. The study, conducted at Rey Juan Carlos University and Atlantic Technological University Galway, involved a diverse sample of students from different year levels and program specializations. Through a rigorous research design, including sampling strategies and data collection tools, this study seeks to address critical research questions related to measurement of variations in students' Computational Thinking and programming skills by gender, university level, and location. By shedding light on the significance of Computational Thinking and programming in the educational realm, this research contributes to the existing literature and underscores the essential role of computational skills in the modern era.
Constructing Fermionic Particle Wave Equation on the Ring in a Novel Way
Authors: Lee Youngik
Published: May 2024

This research focuses on deriving the equation of motion for fermions on a ring. The paper proposes an alternative equation for fermions on the ring, incorporating a self-rotation angle denoted as $\Delta$, and explores its relationship with the original equation.
The Marine Fish Gut Microbiome as a Source of Novel Bacteriocins
Authors: Uniacke-Lowe Shona , Stanton Catherine , Hill Colin , Ross R. Paul
Published: May 2024

The marine environment is the largest ecological habitat on Earth, albeit one of the least explored, particularly in terms of its microbial inhabitants. The marine fish gut is host to a diverse microbial community from which diverse bioactive molecules can be sourced. Due to the unique environmental pressures these microbial communities experience, the bioactive molecules they produce often evolve unique adaptations that give them diverse structures and activities, differentiating them from terrestrial homologues. Of particular interest, due to their structural and functional diversity, are the ribosomally-synthesized antimicrobial peptides (bacteriocins). With increasing pressure from emerging antibiotic-resistant disease and industrial demand for novel therapeutics, the marine fish gut microbiome represents a relatively untapped resource of novel bacteriocins that could prove beneficial to human health and aquaculture. This review presents an overview of the marine fish gut microbiome and explores its potential as a source of bacteriocins for human health with considerations for applications and future research in this area.
The Impact of Foreign Language Exposure on Early Childhood Language Development: A Critical Review
Authors: Tomora Dereje
Published: May 2024

This critical review delves into the often-overlooked aspect of early childhood language development: the potential impact of exposure to foreign languages. While multilingualism is widely celebrated for its cognitive and cultural benefits, emerging research suggests that early exposure to foreign languages may pose challenges for young children's linguistic development. The review synthesizes findings from 17 studies to explore the complexities surrounding this issue, including linguistic confusion, language delay, reduced vocabulary growth, impaired language processing, and socio-emotional implications. Additionally, mitigating factors and future directions for research and intervention are discussed. By shedding light on this topic, the review aims to inform educators, parents, and policymakers about the nuances of bilingual language acquisition and the importance of providing tailored support to optimize early childhood language development in multilingual contexts.
Low-Field NMR as a Vital Spectral Tool in Organic Chemistry
Authors: Gašparová Marcela , Pavílek Branislav , Tisovský Pavol , Ilková Simona , Tokárová Zita
Published: May 2024

The growing interest in benchtop NMR systems is visible in a vast number of applications in science and industry. Low-field nuclear magnetic resonance (LF-NMR) became an instant in technologies that productions are dependent on the reliable structure identification, grade and purity control, chemical process inspection or reaction monitoring. Beyond the benefits of being cost-, space-, maintenance- and user friendly, insufficient sensitivity and low signal resolution are the main drawbacks, due to which the low-field NMR (LF-NMR) in the fields of organic chemistry and synthesis remains limited to solely academic teaching purposes. Herein, we discuss the possibilities of LF-NMR for the needs of organic chemistry and synthesis on a set of compounds 1-4 achieved as the products of student’s laboratory course and organic derivatives 5-8 that are from our research interests. Chemical structure determination of all compounds 1-8 presented herein was performed using the benchtop-type NMR instrument operating at 60 MHz (Pulsar Oxford Ltd.). Structure of novel compounds 5-7 prepared under the aims of our research was characterized by combined 1H/19LF-NMR and compared with an appropriate high-field NMR data from Bruker Ascend Instrument (400 MHz). Finally, possibilities of the low-field NMR as an analytical tool for the research purposes in the fields of organic chemistry and synthesis are documented on a set of 1H and 2D 1H-1H COSY for azomethine 8.
The Clinical Antipsychotic Effect of Recently Developed Antipsychotic Drugs in Schizophrenia
Authors: Werner Felix-Martin , Coveñas Rafael
Published: May 2024

: Schizophrenia and schizoaffective disorder are generally treated with second-generation antipsychotic drugs. These drugs are mostly D2 and 5-HT2A antagonists. They improve positive schizophrenia symptoms sufficiently well; however, they ameliorate negative schizophrenia symptoms and cognitive functions to a small extent. We review novel antipsychotic drugs exerting a partial agonism at dopaminergic and serotonergic receptors such as cariprazine, brexipiprazole and lumateperone. Besides, the mechanisms of actions of non-anti-dopaminergic antipsychotic drugs are pointed out. Updated neural networks are used to explain the mechanism of action of M4 and M1 receptor agonists, for example xanomeline combined with trospium or emraclidine, and trace-amine-associated receptor 1 agonists (TAAR1), for example ulataront. Phase 3 clinical trials of new third generation antipsychotic drugs are presented. Novel antipsychotic drugs with a partial agonism at D2 and D3 receptors improve positive and negative schizophrenia symptoms as well as cognitive symptoms better than second generation antipsychotic drugs. Besides, they are well tolerated. M4 and M1 receptor agonists, i.e. xanomeline combined with trospium or emraclidine, and TAAR1 agonists, i.e. ulataront, have promising results in clinical trials; they well improve negative schizophrenia symptoms and cognitive functions. Phase 3 clinical trials offer promising results for anti-dopaminergic and non-anti-dopaminergic novel antipsychotic drugs. These new non-anti-dopaminergic antipsychotic drugs better emend negative schizophrenia symptoms, and they better improve cognitive functions than second-generation antipsychotic drugs. Promising new antipsychotic drugs are cariprazine, brexipiprazole, lumateperone, ulataront, and xanomeline combined with trospium. Although phase 3 clinical studies are not yet completed, they showed a therapeutic effect superior to those achieved by second-generation antipsychotic drugs. They are tolerated very well, and they better treat negative schizophrenia symptoms and improve cognitive functions.
How Head Position Affects Laryngeal Vision with a Video Laryngeal Mask Airway?
Authors: Castillo-Monzón Caridad G. , Marroquín-Valz Hugo Antonio , Gaszynski Tomasz , Cayuela Manuel , Orozco Javier , Ratajczyk Pawel
Published: May 2024

Background: The laryngeal mask airway Vision Mask (LMA VM) is a supraglottic airway device (SAD) with vision guidance system. The ideal head and neck position for direct laryngoscopy is known, but the ideal position for placing a LMA is not. The objective of this study is to evaluate and compare the optimal position for placement of a video laryngeal mask airway. Methods: This was a prospective observational, transversal and analytical study of 72 consecutive patients. In the same patient, laryngeal vision was first assessed with the head and neck in the sniffing position and then with the head in the neutral position. Procedures were filmed and performed by the same investigator. Assessment of the laryngeal view was performed using two classifications: modified Cormack-Lehane classification and Brimacombe classification. Device placement was considered adequate when the Cormack-Lehane rating was scored from 1 to 2 and the Brimacombe rating was from 2 to 4. Results: 72 patients were included in this study. In the assessment of the glottis using the Cormack Lehane classification for fiberoptic view, laryngeal visibility was adequate in 64 (88.89%) patients in the neutral position and in 65 (90,28%) patients in the sniffing position (p>0,05). In the fiberoptic view of the glottis, assessed using the Brimacombe classification, laryngeal visibility was adequate in 68 (93%) patients in the neutral position and in 69 (95%) patients in the sniffing position, (p>0,05). There was no statistically significant difference in the rate of success between the sniffing position (70 patients, 97.22% success rate) and the neutral position (67 patients, 93.06% success rate) during the first insertion attempt. Two patients required a second attempt in the sniffing position, while five patients required a second attempt in the neutral position. Conclusion: An adequate sniffing position did not result in a better glottic view than neutral position, and the number and type of additional maneuvers were equal in both positions.
Prolonged Lifespan of Superhydrophobic Thin Films and Coatings Using Recycled Polyethylene
Authors: Saleem Junaid , Moghal Zubair Khalid Baig , McKay Gordon
Published: May 2024

High-density polyethylene (HDPE) waste poses a significant environmental challenge due to its non-biodegradable nature and the vast quantities generated annually. However, conventional recycling methods are energy-intensive and often yield low-quality products. Herein, HDPE waste is upcycled into anti-aging superhydrophobic thin films suitable for outdoor applications. A two-layer spin-casting method combined with heating-induced crosslinking is utilized to produce an exceptionally rough superhydrophobic surface, featuring a root mean square (RMS) roughness of 50 nm, an average crest height of 222 nm, an average trough depth of –264 nm, and a contact angle (CA) of 148°. To assess durability, weathering tests were conducted, revealing the films' susceptibility to degradation under harsh conditions. The films' resistance to environmental factors is improved by incorporating a UV absorber, maintaining their hydrophobic properties and mechanical strength. Our research demonstrates a sustainable method for upcycling waste into high-performance, weather-resistant superhydrophobic films.
Bibliometric Systematic Literature Review of Problem-Based Learning Entrepreneurship
Authors: Raimundo Ricardo , Rosário Albérico Travassos
Published: May 2024

The augmenting commitment in the entrepreneurial learning process, both at academic and industry level, has led to new mechanisms and methodologies. Entrepreneurship literature has shown evidence of raising interest in the problem-based learning (PBL) methodology with regard to upcoming events from the surrounding learning context. This paper presents a Systematic Bibliographic Literature Review (SBLR) with respect to the application of PBL throughout distinct entrepreneurial processes either in higher education, or in industry. It aimed to identify relevant entrepreneurial opportunities for PBL. Bibliographic databases were searched for documents published between 2002 and May 2024 to categorize key topics discussed in the literature on PBL and entrepreneurship. The review process identified 142 empirical and non-empirical papers on entrepreneurship related PBL. Data analysis revealed diverse subthemes for PBL uses in entrepreneurship in both higher education institutions and industry. The research questions “What is the interplay of problem-based learning methodology with entrepreneurship?” guided the study. The central output of the research is the discovery of the varying uses of PBL to cope with diverse events arising within entrepreneurship context. Future research directions are suggested.
Striatal GDNF System Elicits Chemoattraction to RET Positive Dopamine Axons Seven Times Longer in Distance than the Abundant Medium Spiny Neurons and Covers Approximately One Twelfth of the Striatal Neuronal Volume
Authors: Montaño-Rodriguez Ana Rosa , Schorling Tabea , Andressoo Jaan-Olle
Published: May 2024

Glial cell line-derived neurotrophic factor GDNF is among the strongest dopamine neuron function and survival promoting factors known. Due to this reason, it has clinical relevance in dopamine disorders such as Parkinson’s disease and Schizophrenia. In the striatum, GDNF is exclusively expressed in interneurons which make up only about 0.6% of striatal cells. Despite clinical significance, histological analysis of striatal GDNF system arborization and relevance to incoming dopamine axons, which bear its receptor RET, has remained enigmatic. This is mainly due to the lack of antibodies able to visualize GDNF and RET positive cellular processes; here we overcome this problem by using knock-in marker alleles. We find that GDNF neurons chemoattract RET+ axons at least 7 times longer in distance than medium spiny neurons (MSNs), which make up 95% of striatal neurons. Furthermore, we provide evidence that tyrosine hydroxylase, the rate limiting enzyme in dopamine synthesis, is enriched towards GDNF neurons in the dopamine axons. Finally, we find that GDNF neuron arborizations occupy approximately twelve times less striatal volume than 135 times more abundant MSNs. Collectively, our results improve our understanding of how endogenous GDNF affects striatal dopamine system function.
Modeling and Forecasting Historical Volatility Using Econometric and Deep Learning Approaches: Evidence From the Moroccan and Bahraini Stock Markets
Authors: Boudri Imane , EL Bouhadi Abdelhamid
Published: May 2024

This study challenges the prevailing belief in the necessity of complex models for accurate forecasting by demonstrating the effectiveness of parsimonious econometric models, namely ARCH(1) and GARCH(1,1), over deep learning robust approaches, such as LSTM and 1D-CNN neural networks, in modeling historical volatility within pre-emerging stock markets, specifically the Moroccan and Bahraini stock markets. The findings suggest reevaluating the balance between model complexity and predictive accuracy. Future research directions include investigating the potential existence of threshold effects in market capitalization for optimal model performance. This research contributes to a deeper understanding of volatility dynamics and enhances forecasting models’ effectiveness in diverse market conditions.
A Study on New Straight Shape Design to Reduce Cogging Torque of Small Wind Power Generator
Authors: Kang Junho , Dai Jialiang , Hong Hyunbin , Lee Ju , Ham Sanghwan , Chun Yondo , Kim Hyunwoo
Published: May 2024

In this paper, a small wind power generator is proposed with a new straight shape stator and rotor. The advantages of the proposed structure are introduced through a comparison between the basic and the proposed models. By comparing the pole slot combination of the proposed generator, the combination with optimal cogging torque characteristics was selected. The electromagnetic characteristics of proposed shape are analyzed for design variables using a finite element analysis (FEA) of ANSYS Maxwell. The final model of the proposed structure is designed by considering cogging torque and the generator electromagnetic characteristics. The electromagnetic and structural simulations of the final model are performed to satisfy the required performance of generator and mechanical safety. To verify the FEA results of the final model, a prototype is manufactured, experimented, and compared with the FEA results.
A New Alternating Suboptimal Dynamic Programming Algorithm with Applications for Feature Selection
Authors: Podgorelec David , Žalik Borut , Mongus Domen , Vlahek Dino
Published: May 2024

Feature selection is predominantly used in machine learning tasks, such as classification and regression. It selects a subset of features (relevant attributes of data points) from a larger set that contributes as optimally as possible to the informativeness of the model. There are exponentially many subsets of a given set, and thus, the exhaustive search is only practical for problems with at most a few dozen features. In the past, there have been attempts to reduce the search space using dynamic programming. However, models that consider similarity in pairs of features besides the quality of individual features do not provide the required optimal substructure. As a result, algorithms, which we will call suboptimal dynamic programming algorithms, find a solution that may deviate significantly from the optimal one. In this paper, we propose a dynamic programming algorithm with an iterative upgrade where the order of feature processing is inverted in each iteration. Such an alternating approach allows for improving the optimization function by using the score from the previous iteration to estimate the contribution of unprocessed features. The iterative process is proven to converge and terminate when the solution does not change in three successive iterations or when the number of iterations reaches the threshold. Results in more than 90 % of tests align with those of the exhaustive search, being competitive and often superior to the reference greedy approach. The validation was done by comparing the scores of output feature subsets and examining the accuracy of different classifiers learned on these features. In the context of feature selection, the proposed algorithm can be characterized as a filter method. However, we expect that the idea of alternating suboptimal optimization will soon be generalized to tasks beyond feature selection.
Development of E-Tourism to Achieve Excellence and Sustainable Development in Tourism: Ha’il Region Case Study
Authors: Bahou Younès , Triki Rabab , Maâloul Mohamed Hédi , Tissaoui Kais
Published: May 2024

E-tourism is one of the most important modern services to achieve the development of the tourism sector while relying on sophisticated communication technologies. Certainly, these innovations in the field of tourism have disrupted this sector with new and different dimensions of tourism development. This has led various regions and countries to accelerate the search for the tools that are necessary to achieve excellence and sustainable development in tourism. This research aims to study the development factors of e-tourism to achieve excellence and sustainable development in the tourism of the Ha’il region. Therefore, we applied two analyses: in the first one, we used a statistical analysis based on the survey sent to employees from tourism companies. The objective of this analysis is to determine the main factors of e-tourism to achieve excellence in tourism in the Ha’il region. The results of the statistical analysis have given us the following elements: There are only four main factors that allow authorities to achieve excellence in tourism in the Ha’il region, namely ST, CP, HRS, and SC factors. Then we proceed with a second analysis, to determine the main factors of excellence in tourism that drive the achievement of sustainable development in tourism in the Ha’il region. For this reason, we applied an artificial intelligence method based on the unsupervised machine learning technique. The results obtained from the machine learning technique show that five factors determine the excellence in tourism and reveal the sustainable development of Ha’il’s tourism. These factors are ST, CP, FP, HRS, and GC. Consequently, we consider that all the factors found in both analyses are important to realise excellence in tourism and sustainable development in tourism. However, to achieve sustainable development in tourism in Ha’il, Saudi authorities must develop the three common factors found in the two analyses, namely ST, CP, and HRS.
Anomaly Detection in Kuwait Construction Market Data Using Autoencoder Neural Networks
Authors: Al-Sabah Basma , Anbarjafari Gholamreza
Published: May 2024

In the ambitiously evolving construction industry of Kuwait, characterized by its vision 2035 and rapid technological integration, there exists a pressing need for advanced analytical frameworks. This research paper introduces a groundbreaking deep learning approach utilising an autoencoder neural network to analyse the complexities of the Kuwait Construction Market and identify data irregularities. The construction sector’s significant investment influx and project expansion make it an ideal candidate for deploying sophisticated analytical techniques to detect anomalous patterns indicating inefficiencies or unveiling potential opportunities. Our approach leverages the capabilities of autoencoder architectures to delve into and understand the prevalent patterns in market behaviours. This meticulous analysis allows for the detection of deviations that may lead to operational or financial consequences. We elucidate the mathematical foundations of autoencoders, highlighting their proficiency in managing the complex, multidimensional data typical of the construction industry. Through training on an extensive dataset—comprising variables like market sizes, investment distributions, and project completions—our model demonstrates its ability to pinpoint subtle yet significant anomalies. The outcomes of this study enhance our understanding of deep learning’s pivotal role in construction and building management. Additionally, our findings proactively sketch the future market trajectory and facilitate anomaly detection, thereby contributing substantially to the academic discussion on integrating machine learning into construction management. This research offers valuable insights for professionals within Kuwait, aiming to harness deep learning techniques to boost operational efficiency and strategic foresight in the construction sector.
Investigating the Influence of Anthropogenic Activities on Behavioral Changes of an Orb Web Spider (Neoscona vigilans)
Authors: Ahmad Bilal , Abida Butt , Adeel Kazam , Shakir Ali , Isha Isha , Chang Young-Cheol
Published: May 2024

Orb web spiders are common and highly diversified animals found in almost all habitats. They have remarkable plasticity against biotic and abiotic factors, making them excellent indicators of environmental health. The web-creation behavior of spiders is influenced by disturbances in the environment. The aim of the research was to observe the alteration in the web-building behavior of Neoscona vigilans caused by human activities, specifically traffic disturbance. Spider webs were located and photographed at nighttime along the roadside, and their web characteristics were calculated. Spiders were captured from webs for their body measurements. Spider 4th leg length, carapace width, and body length had a significant association with web size and diameter, CTL, capture area, and mesh size. The quantity of trapped prey, the height of the plant, and the foliage radius increased with the distance from the road. Conversely, anchor points and web elevation from the ground dropped. The highest and lowest proportion of anomalies (modifications/defects) were recorded as holes (52.7%) in 105 webs (100%) and supernumerary (0.7%) in 55 webs (52.4%), respectively. Road disturbance had a negative influence on the spider’s behavior as the webs formed in close proximity to the road had a higher frequency of anomalies with a gradual decrease distantly. We can gain further insight into how different environmental changes, disruptions, and pollutants lead to this imperfection in the otherwise flawless perfect structure of spider webs.
Leveraging Multi-tissue, Single-Cell Atlases as Tools to Elucidate Shared Mechanisms of Immune-Mediated Inflammatory Diseases
Authors: McLean Anthony K. , Reynolds Gary , Pratt Arthur G.
Published: May 2024

The observation that certain therapeutic strategies for targeting inflammation benefit patients with distinct immune-mediated inflammatory diseases (IMIDs) is exemplified by the success of TNF blockade in conditions including rheumatoid arthritis, ulcerative colitis and skin psoriasis, albeit only for subsets of individuals with each condition. This suggests intersecting "nodes" in inflammatory networks at a molecular and cellular level may drive and/or maintain IMIDs, being “shared” between traditionally distinct diagnoses without mapping neatly to a single clinical phenotype. In line with this proposition, integrative tumour tissue analyses in oncology have highlighted novel cell states acting across diverse cancers, with important implications for precision medicine. Drawing upon advances in the oncology field, this narrative review will first summarise learnings from the Human Cell Atlas in health as a platform for interrogating IMID tissues. It will then review cross-disease studies to date that inform this endeavour, before considering future directions in the field.
Development of new edible biodegradable films containing camu-camu and agro-industry residue
Authors: Naves Huéberton , Stafussa Ana Paula , Madrona Grasiele , Tanaka Fabrício , Aouada Fauze , Moura Márcia Regina de
Published: May 2024

The use of edible films has become a topic of great interest in the food and environmental sectors, due to their potential to prevent food deterioration and their biodegradability. In this context, this study aimed to develop and characterize edible films based on camu-camu residue, gelatin and glycerol, evaluating their solubility, thermal, degradability, antioxidant and water vapor permeability properties of the gelatin matrix. This is the first study incorporating camu-camu into a gelatin and glycerol matrix. The films produced with the incorporation of camu-camu residue proved to be manageable and soluble, with the presence of some non-soluble residues, providing a shine and a well-presented appearance. In the biodegradation results the samples 03 and 04 appeared to degrade the most, being two of the three most affected samples in the triplicate. The films showed degradation modifications from the third day of the experiment. In the germination and plant growth analysis, Sample 04 showed satisfactory development compared to other samples, making it the sample with the best overall result in the analyses. These results demonstrate that the produced materials have potential for food packaging applications.
Masld-Related Hepatocarcinoma: Special Features And Challenges
Authors: Yagüe-Caballero Carmen , Casas-Deza Diego , Espina-Cadena Silvia , Pascual-Oliver Andrea , Arbones-Mainar José M , Bernal–Monterde Vanesa
Published: May 2024

Metabolic Associated Steatohepatitis Liver Disease (MASLD) currently impacts a quarter of the global population and its prevalence is expected to increase in the future. As a result, the incidence of hepatocellular carcinoma associated with MASLD is also on the rise. Notably, hepatocellular carcinoma in this group does not always develop alongside liver cirrhosis, often leading to a more advanced stage at diagnosis. The challenge lies in accurately identifying patients who are at a higher risk of hepatocellular carcinoma to tailor screening processes effectively. Additionally, several therapeutic approaches are being explored to prevent hepatocellular carcinoma, although there are yet no universally accepted guidelines
Compound Heterozygous Mutations of SACS in a Korean Cohort Study of Charcot-Marie-Tooth Disease Concurrent Cerebellar Ataxia and Spasticity
Authors: Pi Byung Kwon , Chung Yeon Hak , Kim Hyun Su , Nam Soo Hyun , Lee Ah Jin , Nam Da Eun , Park Hyung Jun , Kim Sang Beom , Chung Ki Wha , Choi Byung-Ok
Published: May 2024

Mutations in the SACS gene are associated with autosomal recessive spastic ataxia of Charlevoix-Saguenay disease (ARSACS) or complex clinical phenotypes of Charcot-Marie-Tooth disease (CMT). This study aimed to identify SACS mutations in a Korean CMT cohort with cerebellar ataxia and spasticity. As a result, eight pathogenic SACS mutations in four families were identified as the underlying causes of these complex phenotypes. The prevalence of CMT families with SACS mutations was determined to be 0.3%. All the patients showed sensory, motor, and gait disturbances with increased deep tendon reflexes. Lower limb magnetic resonance imaging (MRI) was done in four patients, and all had fatty replacements. Of note, they all had similar fatty infiltrations between the proximal and distal lower limb muscles, different from the neuromuscular imaging feature in most CMT patients without SACS mutations who had distal dominant fatty involvement. Therefore, these findings were considered a characteristic feature in CMT patients with SACS mutations. Although further studies with more cases are needed, our results highlight lower extremity MRI findings in CMT patients with SACS mutations and broaden the clinical spectrum. We suggest screening for SACS in recessive CMT patients with complex phenotypes of ataxia and spasticity.