bluuebunny/crossref_metadata_2025 huggingface dataset:
Adaptive Cruise Control of the Autonomous Vehicle Based on Sliding Mode Controller Using Arduino and Ultrasonic Sensor
Authors: Alika Rachid , Mellouli El Mehdi , Tissir El Houssaine
Published: March 2024

This article will focus on adaptive cruise control in autonomous automobiles. The adaptive cruise control inputs are the safety distance which determines thanks to conditions set depending on the distance value, the measured distance, the longitudinal speed of the autonomous automobile itself, the output is the desired acceleration. The objective is to follow the vehicles in front with safety, according to the distance measured by the ultrasonic sensor, and maintain a distance between the vehicles in front greater than the safety distance which we have determined. For this, we used super twisting sliding mode controller (STSMC) and non-singular terminal sliding mode controller (NTSMC) based on neural network applied to the adaptive cruise control system. The neural network is able to approximate the exponential reaching law term parameter of the NTSMC controller to compensate for uncertainties and perturbations. An autonomous automobile adaptive cruise control system prototype was produced and tested using an ultrasonic sensor to measure the distance between the two automobiles, and an Arduino board as a microcontroller to implement our program, and four DCs motors as actuators to move or stop our host vehicle. This system is processed by code and Simulink Matlab, the efficiency and robustness of these controllers are excellent, as demonstrated by the low longitudinal velocity error value. The safety of autonomous vehicles can be enhanced by improving adaptive cruise control using STSMC and NTSMC based on neural network controllers, which are chosen for their efficiency and robustness.
Effects of Postharvest Storage Temperature on Physical Characteristic, Phenolic Compounds, and Antioxidant Activity of Cocoa Pod Husk
Authors: Salfi Wa Ode Nurhidayah , Ningrum Andriati , Supriyadi Supriyadi
Published: March 2024

Cocoa pod husk (CPH) is a good source of bioactive components such as phenolic compounds, which are known to have potential as antioxidants. Research on the effects of postharvest storage conditions on bioactive compounds of CPH is still limited. Therefore, this study aimed to evaluate the impact of postharvest storage temperature (20, 30, and 40 °C) and time on the physical characteristics, phenolic compounds, and antioxidants of CPH. The results indicated that storage for nine days reduced the color and moisture content of CPH while the texture hardened (especially at 20 and 40 °C). Total phenolic compounds (TPC) increased to 97.9% when CPH was stored at 20 °C for nine days, which was associated with an increase in catechin content and antioxidant activity. The first-order kinetic model was suitable for predicting the kinetics of changes in color, moisture content, hardness, TPC, and DPPH. The calculated Ea values indicated that the storage temperature caused the color of CPH to change easily to brown and the catechin and caffeic acid compounds to form easily. Overall, it is better to store CPH at 20 °C for nine days to increase the quality.
Dermoscopic features of Melasma
Authors: Panesar Gulshant , Panesar Natasha
Published: March 2024

Melasma, is a chronic acquired disorder of hypermelanosis of skin which is exposed to ultraviolet radiation. The clinical presentation is most often in the form of hyperpigmented patches over the face in three common patterns: Centrofacial, malar and mandibular. It is commonly seen in pigmented skin phenotypes (Fitzpatrick skin types III-V). The disease has an impact on the quality of life of patients. Dermoscopy is an in vivo noninvasive technique used to examine pigmented and amelanotic skin lesions. The technique is performed using a hand-held self-illuminating device called dermatoscope that visualizes features present under the skin surface.

: To study dermoscopic (dermatoscopic) features of melasma and to distinguish between epidermal and dermal melasma based on dermoscopic features.

: This study was conducted in an OPD in a clinic on 40 patients of melasma. Dermoscopy was done and their dermatoscopic features were recorded, melasma was classified as epidermal or dermal depending on dermatoscopic features.

: Dermatoscopic features of melasma seen were – Accentuation of pseudoreticular pigment network, light to dark brown in colour sparing of the periappendageal region (follicular and sweat gland openings), brown granules, blue- gray perifollicular accentuation honeycomb like reticular pattern and arcuate pigmented lines. 18 patients (45%) showed epidermal type 9 patients (22.5%) revealed dermal type of melasma, 13 patients showed mixed features (epidermal and dermal). Melasma with steroid abuse showed marked erythema and telangiectasia.

Dermatoscope is a valuable aid to diagnose, classify and to monitor treatment of melasma.
Cutaneous Intravascular papillary endothelial hyperplasia – A case series
Authors: Selvi Subramanian Kalaivani , Subashree K , Sukanya JS , Arnold Jonathan
Published: March 2024

Intravascular papillary endothelial hyperplasia (IPEH) is rare intravascular endothelial proliferation that may mimic an angiosarcoma. They are most commonly located in veins on head and neck, fingers and trunk and usually presents as a small superficial mass. It is now considered as an exuberant form of organising thrombus. We present here a series of cases of IPEH with varied clinical presentation and clinical diagnosis which on microscopy confirmed as Intravascular papillary endothelial hyperplasia
Śmierć krytyka
Authors: Sunderland Daniel , Pałka Magdalena , Sowiński Emil , Góźdź Szymon , Grodź Iwona , Kurowska Katarzyna , Ulańska Zofia
Published: March 2024

Teza o zmierzchu krytyki powraca od końca lat 90., czyli od zmiany paradygmatu kultury z analogowego na cyfrowy, która doprowadziła też do zmian w obiegu krytycznym na rzecz elektronicznego i amatorskiego, co odbyło się kosztem obiegu tradycyjnego (prasowego) i elitarności zawodu krytyka. Początek XXI wieku zaowocował diagnozami stanu krytyki literackiej, filmowej, teatralnej, ale nie znajduję żadnej publikacji, która ukazałaby to zjawisko w tak szerokiej gamie: od ujęcia językoznawczego, przez krytykę literacką i filmową, kuratorsko-artystyczną i krytyki instytucji, po krytykę gier planszowych. 
Z recenzji prof. dr hab. Moniki Talarczyk
Seasonal abundance of the nudibranch Dondice jupiteriensis on the colonial hydroid Eudendrium carneum
Authors: Molina Erika , Gutierrez-Andrade Daniela , Schlegel Samantha , Piper Julia , Ambrosio Louis , Middlebrooks Michael
Published: March 2024

Benthic colonial hydroids often serve as a host to a large variety of invertebrate taxa. The colonial hydroid Eudendrium carneum Clarke, 1882 is host to a variety of epifauna, including the recently described nudibranch Dondice jupiteriensis García—Méndez & Valdés, 2022. Like many species of heterobranch sea slugs, little is known about the natural history and population biology of D. jupiteriensis. Here we describe a year—long study recording the population density and size structure of D. jupiteriensis on E. carneum colonies in Tampa Bay, FL USA. We found that the D. jupiteriensis population persists year—round but is the densest during the summer months. This coincides with the time period when individual slugs were the smallest, suggesting the population increase in the summer is likely due to larval recruitment. Additionally, 13 other species of heterobranch sea slugs were found inhabiting E. carneum over the course of the study, although none of them were as numerous as D. jupiteriensis. This study provides the first available information on the ecology and population biology of the recently described nudibranch D. jupiteriensis.
En busca de un marco legal para los activos digitales
Authors: Cavaller Vergés Misericordia
Published: March 2024

La revolución digital está conllevando una transformación global y profunda de la economía y la sociedad. Han aparecido nuevos bienes intangibles, entre los que se encuentran los denominados activos digitales, que suponen un desafío para el legislador. El pasado mes de septiembre de 2023 la organización Unidroit publicó unos Principios sobre activos digitales y derecho privado, que constituyen un novedoso instrumento armonizador en la materia, con la finalidad de otorgar seguridad jurídica. Este análisis es una primera aproximación a estos Principios y sus principales características. Tras abordar el concepto de activo digital, establecen un marco normativo que regula su transferencia como objeto de derechos de propiedad y de garantías reales, así como su protección en casos de insolvencia.
A Study of Students’ Science Process Skills at A National–Plus Middle School in Tarakan
Authors: Listiani Listiani , Kusuma Arief Ertha
Published: March 2024

Process science skills are essential for students to understand how the world works. This performance can be measured by exploring students' capacity for scientific knowledge development. The study investigated the science process skills of high school students at one of the National Plus Junior High Schools in Tarakan. The science process skills test was conducted by giving multiple-choice questions to 74 students referring to four indicators: interpreting, graphing, inferring, and explaining. Students answered ten questions representing the five indicators of science process skills under study. The results showed that, in general, students' science process skills in the National Plus Junior High Schools were relatively low. 77.3% of students were in the low category, 4.8% were in the medium category, and 17.9% had high science process skills. The interpreting indicators are at a moderate level (64%), while the other three skills are low, with percentages of 47%, 44%, and 22%, respectively. The low percentage of these four indicators indicates that science lessons need to be optimized by paying attention to and integrating science process skills in student activities during learning. Science teachers should be trained in integrating science process skills into learning. Therefore, developing and applying a learning model that can train science process skills comprehensively and can be implemented optimally is necessary.
Advantageous approach for boron ores used in cement production: optimization of dehydration
Authors: Kocadağistan Mustafa Engin , Arslan Harun
Published: March 2024

Boron with a certain water content is used for industrial purposes, including cement production. It is necessary to perform and optimize heat treatments and determine the water content. The heat treatment is applied to boron ores that must be used for cement production. However, these processes take time and increase costs. With this study, it will be possible to obtain boron products with the desired properties in a shorter time by determining the optimal parameters for dewatering processes. Colemanite and ulexite ores were reduced to a grain size of 44 microns by ore dressing processes and subjected to dewatering. The Taguchi method was used to optimize the dehydration of colemanite and ulexite ores. The orthogonal design of experiments method L18(6132) 3 factors, 18 trials was chosen to determine the design of experiments. The changes in the H2O-CaO-Na2O-B2O3 concentrations were determined on the basis of the analyses performed. TG/DTA analyses were carried out for comparison with the dehydration processes. In the optimization processes performed using the Taguchi method, the maximum water removal was achieved with 1 g of ore and a period of 6 hours. H2O removal was 98.42% at 650 °C for colemanite and 99.1% at 300 °C for ulexite. It has been shown that the dehydration of ulexite and colemanite ores can be optimized and the boron product with the desired properties can be obtained in a short time, which is an advantage for its use in the cement industry. It is expected that this study will serve as an important basis for future applications of B2O3 cement.
The effect of the gravity on the earthquake performance of roller compacted concrete dams
Authors: Şermet Fethi , Kartal Murat Emre , Yiğit Muhammet Ensar , Hökelekli Emin
Published: March 2024

Roller compacted concrete (RCC) is a dry concrete mixture often utilized in the construction of large dams. The interlayer of the RCC dam, which is the weakest plane of the structure, can easily fail under hydraulic shear load, geological impact, earthquake force and environmental impact. In this study linear and performance analyzes were carried out for eight different scenarios for foundation effect, gravity effect and empty and full reservoir situations. In analyses, the earthquake response and performance of the Akçakoca RCC Dam, taking into account the interaction between the dam and the water. The reservoir water behavior is simulated using the Eulerian-Lagrangian coupled (CEL) approach with finite elements modeling. Linear analyses reveal that hydrodynamic pressure leads to increased displacements and principal stresses. The earthquake performance evaluation of the Akçakoca RCC dam indicates that critical concrete damages are expected based on linear time-history analyses conducted for both empty and full reservoir scenarios. Besides, according to this study, gravity effect clearly increases the earthquake performance of the dam.
Analytical Solution of a Forced Vibrating Tube Transporting Fluid
Authors: Tembely Moussa
Published: March 2024

In this paper is proposed an analytical technique which can be used to obtain the forced response of a cantilevered tube conveying fluid. Considering the pipe subjected to an arbitrary harmonic force either distributed or concentrated, an analytical solution is found using Green’s function method. The solution obtained of the closed form satisfies the differential equations in a classical sense. The presented method giving the exact solutions is more precise than the classical eigenfunction expansion or Galerkin’s method with no need to the eigenfunctions or eigenvalues.
Diversity of the Japanese Gut Microbiome Analysis: Relative Approach Using Principal Component Analysis
Authors: Itagaki Tatsuki , Sakata Ken-ichiro , Hasebe Akira , Kitagawa Yoshimasa
Published: March 2024

A compositional data vector is a special type of multivariate observation in which the elements of the vector are non-negative and sum to a constant, usually taken to be unity. A compositional data does not have zero and only retains relative information. Furthermore, comparisons can only be made between compositional data of the same component. The relevant sample space is the standard simplex. A simplex space is a space that is a generalized form of a triangle. For compositional data, many of the operations defined in Euclidean space are meaningless. Microbiome analyzes have become popular in recent years. Operational Taxonomic Units (OTU) and Amplicon Sequence Variants (ASVs) used in microbiome analysis are one type of compositional data. The microbiome data are counts of different species within a sample and it is compositional. Although there is an order of bacterial abundance within a sample, there is no order of bacterial abundance between samples. Firmicutes and Bacteroidetes, the major phyla in the colon, have been observed in humans worldwide. Gut microbiome analyses often use the Firmicutes/Bacteroidetes ratio and principal coordinates analysis (PCoA). Alpha and beta diversities are used as indicators of bacterial flora diversity. However, misinformation is pervasive in the human microbiome literature and analysis. There is a lot of misunderstanding regarding compositional data and its analysis. An attempt was made to demonstrate how to analyze using the “National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN JMD) (Public Data).” The results showed that PCoA did not work, and principal component analysis (PCA) was useful for analyzing the gut microbiome relative diversity.
Efficacy and Safety of Pulse Intravenous Methylprednisolone in Pediatric Epileptic Encephalopathies: Timing and Networks Consideration
Authors: Russo Angelo , Mazzone Serena , Landolina Laura , Colucci Roberta , Baccari Flavia , Fetta Anna , Boni Antonella , Cordelli Duccio Maria
Published: March 2024

Abstract: Background: epileptic encephalopathies (EE) are characterized by severe drug-resistant seizures, early-onset, and unfavorable developmental outcome. We describe a cohort of pediatric patients with EE who underwent intravenous methylprednisolone (IVMP) pulse therapy to examine its efficacy/tolerability. Methods: This is a retrospective study from 2020 to 2023. Inclusion criteria were: ≤18 years at the time of IVMP pulse therapy and at least 6 months of follow-up. Efficacy and outcome, defined as seizure reduction >50% (responder rate), were evaluated at 6 and 9 months of therapy, and 6 months after therapy suspension; quality of Life (QoL) was also assessed. Variables predicting positive post-IVMP outcomes were identified using statistical analysis. Results: Twenty-one patients were included. The responding rate was 85.7% at 6 and 9 months of therapy, and 80.9% at 6 months after therapy suspension. Genetic etiology and encephalopathy related to status epilepticus during NREM sleep (ESES) were predictive of efficacy (p=0.0475). The fourth month of therapy was the minimum time point to establish the effectiveness of the treatment. All patients showed improvements in QoL, EEG tracing and postural-motor development. No relevant adverse events were observed. Conclusions: Our study confirms the efficacy and tolerability of pulse IVMP treatment in pediatric patients with EE, especially with genetic etiology and ESES. The fourth month of therapy was the minimum time point to establish its effectiveness. QoL, EEG and postural-motor development also showed improvement.
Exploring Sustainable Aquafeed Alternatives with a Specific Focus on the Ensilaging Technology of Fish Waste
Authors: Maksimenko Anastasiia , Belyi Leonid , Podvolotskaya Anna , Son Oksana , Tekutyeva Liudmila
Published: March 2024

The global increase in population has placed significant pressure on food security, leading to the emergence of aquaculture as a vital source of aquatic foods. However, rising costs and the limited availability of fishmeal in aquafeeds have spurred the search for alternative protein sources. While plant-based ingredients have been integrated into commercial aquafeeds, they come with challenges, including low protein content, palatability issues, and the presence of antinutritional factors. In this context, fish silage, derived from fish waste and discarded fish, stands out as a promising alternative technology due to its cost-effectiveness and sustainability attributes. The production of fish silage involves the addition of organic/inorganic acids or lactic acid bacteria to homogenized fish waste. This process yields a valuable mixture rich in peptides, free amino acids, and partially hydrolyzed proteins, offering significant nutritional benefits for animal diets. Beyond its nutritional advantages, fish silage contributes to environmental sustainability by reducing the impact of waste disposal and enhancing the value of fish waste. The objective of this review is to promote sustainable practices in the aquaculture industry in response to the increasing demand for high-quality feed nutrients. To achieve this, it includes an analysis of research results related to silage technology, an appraisal of the advantages and disadvantages of using fish silage as a feed additive, and a focus on emerging trends in this field.
Antifungal and Antibacterial Activity of Lathyrus Aphaca L. Mediated Green Synthesized CdS Nanoparticles and their Characterization
Authors: Akhtar Naveed , Ullah Himayat , Akif Muhammad , Khan Istikhar , Ali Fawad , Khan Mohmand Numan Zada
Published: March 2024

Cadmium Sulfide nanoparticle (CdS-LA hybrid nanoparticles) was synthesized here by a green approach using the precursor cadmium acetate and sodium sulphide along with the extract of a plant Lathyrus aphaca L. containing the phytochemicals which were responsible for surface modification of nanoparticles. The nanoparticle was used to evaluate their inhibition potential against species of bacteria and fungi. The nanoparticles were characterized by XRD which demonstrates the hexagonal crystal structure. SEM confirms the homogenous surface appearance of the CdS-LA hybrid crystalline structure. EDX analysis confirms surface modification of nanoparticles by phytochemicals. FTIR confirmed the Cd-S linkage laterally with the related functional groups and the presence of metabolites on the surface of nanoparticles. The UV-visible spectroscopy confirmed the peak at the characteristic wavelength range but a slight shift occurred in the peak of the CdS nanoparticles due to the presence of the phytochemicals. This study particularly provides an environment-friendly strategy to synthesize the CdS nanoparticles capped by Lathyrus Aphaca L. extract that are biologically active due to the mediation of the plant extract. CdS-LA hybrid nanoparticles have shown inhibition potential against various species of bacteria and fungi and realize the biological importance of the green synthesis of nanoparticles especially mediated with the plant extract.
Information Data Length Theory of Human Emotions, How, What and Why
Authors: A Mageed Ismail
Published: March 2024

The current paper provides a cutting-edge information data length- theoretic approach to human emotions. This is a revolutionary breakthrough that unifies information data length and the dynamics of emotions. The significant impact of both time and its mean value associate on both the upper and lower bounds of the obtained information data length is observed and noted. The paper concludes with some challenging open problems, combined with concluding remarks and future research pathways.
Tetracycline Resistance Genes in Treponema spp.- an Analysis of 4355 Spirochaetales Genomes
Authors: Manoharan-Basil Sheeba , Gestels Zina , Abdellati Said , De Baetselier Irith , Vanbaelen Thibaut , Kenyon Chris
Published: March 2024

Background: The resurgence of syphilis, primarily in MSM populations, has necessitated novel prophylactic strategies, such as the use of doxycycline post-exposure prophylaxis (doxy-PEP). However, the potential for increased doxycycline use to select for tetracycline resistance represents significant challenges in managing this sexually transmitted infection. This study aims to identify chromosomal mutations associated with tetracycline resistance in Spirochaetales to inform treatment strategies and surveillance measures.Methods: Whole genome sequences (WGS) from the Spirochaetales order, including 4,355 genomes, were analyzed for the presence of mutations in 16S rRNA and non-synonymous mutations in the rpsC and rpsJ genes. The study utilized WGS from GenBank® and sequence data from the PubMLST Treponema pallidum isolate collection. Genetic resistance to tetracycline was detected using a combination of BLASTN searches and gene-gene analysis. Results: A transition mutation TGA to TGG at positions 965-967 in the 16S rRNA gene was detected in 5.6% of Treponema spp. and 3.97% of Spirochaeta spp. genomes. The rpsJ gene exhibited a V57G amino acid substitution across a significant subset of Treponema spp. Notably, the V57K mutation was common in Spirochaeta spp. The rpsC gene had the H178Q mutation and was found to be present in the Spirochaetales bacterium.Conclusion: The identification of mutations associated with tetracycline resistance in Spirochaetales provides a foundation for the development of rapid molecular diagnostics and guides the clinical selection of antibiotics for syphilis treatment. This study underscores the complexity of antibiotic resistance mechanisms and the critical importance of surveillance in the era of antibiotic prophylaxis for STI management.
Heart-Cutting Bidimensional Liquid Chromatography for the Simultaneous Analysis of Veterinary Drugs Residues and Nucleotides Monophosphate in Sheep’s Milk
Authors: Caballero-Casero Noelia , García-Gómez Diego , Pérez Pavón José Luis , Rodríguez-Gonzalo Encarnación
Published: March 2024

Sheep’s milk is a significant source of nucleotides monophosphate (NMPs) but can also contain undesirable residues from veterinary drugs, posing a potential human health risk. This study introduces a novel application of 2D-LC, in heart-cutting mode, for the simultaneous determination of nucleotides and veterinary drug residues in sheep’s milk. Two-dimensional liquid chromatography (2D-LC) allows for the separation of these compounds in a single chromatographic run despite their differing physicochemical properties. The proposed method separates six veterinary drug residues and five NMPs in a single injection. The compounds were separated using a C18 reversed-phase column in the first dimension and a Primesep SB analytical column in the second dimension. The method performance was evaluated in terms of linearity range, detection and quantification limits, matrix effects, precision, and accuracy. The results demonstrated good linearity and sensitivity, with quantification limits allowing for the quantification of veterinary drugs at the maximum residue level and nucleotides at typical levels found in milk samples. The method has been successfully applied to the analysis of sheep’s milk samples acquired from local supermarkets, with recoveries within a range of 70-119 % and 82-117 % for veterinary residues and NMPs, respectively.
Systemic Vascular Resistance and Myocardial Work Analysis in Hypertrophic Cardiomyopathy and Transthyretin Cardiac Amyloidosis with Preserved Left Ventricular Ejection Fraction
Authors: De Gregorio Cesare , Trimarchi Giancarlo , Faro Denise Cristiana , Poleggi Cristina , Teresi Lucio , De Gaetano Fabrizio , Zito Concetta , Lofrumento Francesca , Koniari Ioanna , Licordari Roberto , Kounis Nicholas G. , Monte Ines Paola , Di Bella Gianluca
Published: March 2024

The impact of systemic vascular resistance (SVR) in hypertrophic (HCM) and amyloid cardio-myopathies has been seldom investigated. We studied pressure-strain loop derived myocardial work (MW) indices and SVR in patients with either sarcomere HCM or wild type transthyretin cardiac amyloidosis (ATTR), presented with heart failure and preserved left ventricular ejection fraction (HFpEF) at the outpatient cardiology units at Messina and Catania University Hospitals (Italy). Patients were in sinus rhythm and needed to have good transthoracic ultrasound imaging quality to undergo transthoracic strain-echocardiography. Other than conventional parameters, SVR and GWI (global work index) were measured. Based on cross-tabulation (a way to assess the ventricular-arterial coupling), the patients were then classified in 4 classes according to the cut-off values suggested by previous studies of 1,440 dyne/s/cm-5 for SVR (Stefadouros et al., 1973) and 1576 mm Hg% for GWI (Olsen et al., 2022). Sixty patients, 30 in each group, aged 61±16 years, 78% males, were studied. HCM were younger than ATTR patients and in a better clinical status (23% HCM vs 77% ATTR were NYHA class 3, p<0.001). Overall, 51 patients (85%) showed high SVR, of whom 21 were HCM (70%) and 30 ATTR (100%) (p<0.005). Both, SVR and GWI were impaired (the poorest class C) in 43% HCM patients (with greater left ventricular concentric hypertrophy) vs 93% of ATTR patients (in advanced NYHA class) (p<0.001). In conclusion, assessing SVR and GWI in HFpEF patients with HCM or ATTR can help clinicians to interpret the pathophysiological and clinical features of such complex diseases.
From CBT to Complex Therapy: A Novel Approach to the Treatment of Mental Disorders
Authors: Scrimali Tullio
Published: March 2024

This communication explores the transition from Cognitive Behavioural Therapy (CBT) to a more holistic model, named Complex Therapy, developed by Tullio Scrimali for explaining and treating mental disorders. The Author delves into the limitations of traditional CBT and introduces an innovative framework that integrates multiple therapeutic modalities. While CBT is based on the study and modification of behaviour and cognition, Complex Therapy includes, in its focus, the theory of human relationships, the attachment theory, neuroscience, applied neuroscience, complex systems theory and ecology.Complex Therapy addresses the multifaceted nature of mental health issues by combining evidence-based techniques with personalized care strategies. The goal is to enhance patient outcomes through a tailored, comprehensive treatment plan that adapts to the evolving needs of individuals facing mental health challenges.Two innovative and original items which Scrimali has developed, which are a device for Applied Neuroscience MindLAB Set and a new botanical drug, NegEnt, are presented and discussed.The topic also describes, an original and integrated protocol, named Negative Entropy, the author has developed for treating a challenging disorder, such as schizophrenia, he renamed Entropy of Mind.
Topic Modelling of Management Research Assertions to Develop Insights on the Role of Artificial Intelligence in Enhancing the Value Propositions of New Companies
Authors: Tanev Stoyan , Keen Christian , Bailetti Tony , Hudson David
Published: March 2024

The article suggests a Value Proposition (VP) framework that enables the analysis of the beneficial impact of Artificial Intelligence (AI) resources and capabilities on specific VP development activities. To develop such a framework, we examined existing management research publications to identify and extract assertions that could be used as a source of actionable insights for new growth-oriented companies. The extracted assertions were assembled into a corpus of texts that were subjected to topic modelling analysis – a machine learning approach to natural language processing that is used to identify latent themes in large corpora of text documents. The topic modeling resulted in the identification of seven topics. Each topic is defined by a set of most frequent words co-occurring in a distinctive subset of texts that could be interpreted in terms of activities constituting the core elements of the VP framework. We then examined each activity in terms of its potential to be enhanced by employing AI resources and capabilities. The interpretation of the topic modeling results led to the identification of seven topics: 1) Value created; 2) Stakeholder value propositions; 3) Foreign market entry; 4) Customer base; 5) Continuous improvement; 6) cross-border operations; and 7) Company image. The uniqueness of the adopted topic modeling approach consists in the quality of the assertions and the interpretation of the seven topics as an activity framework, i.e. in its capacity to generate actionable insights for practitioners. The additional analysis suggests that there is a potential for AI to enhance emerging the four core elements of the VP framework: Value created, Stakeholder value propositions, Foreign market entry, and Customer base. More importantly, we found that the greatest number of assertions related to activities that could be enhanced by AI are part of the Customer base topic, i.e., the topic that is most directly related to the growth potential of the companies. In addition, the VP framework suggests that a company’s customer base growth is continuously enhanced through a positive loop enabled by activities focused on the Continuous improvement of the activities and the amount of Value created, the alignment of Stakeholder value propositions, and companies’ Foreign market entry. Thus, Foreign market entry appears as a factor that helps in understanding the beneficial impact of AI on the VP development of new growth-oriented companies.
Transforming Glaucoma Care with Artificial Intelligence: A Comprehensive Review of Diagnosis, Monitoring, and Treatment Algorithms
Authors: Amberg Amanda , Espaillat Alejandro
Published: March 2024

This review article explores the transformative impact of Artificial Intelligence (AI) on glaucoma care, focusing on advancements in diagnosis, monitoring, and treatment algorithms. AI technologies have revolutionized the field of ophthalmology by enhancing the accuracy and efficiency of diagnosing glaucoma. Furthermore, AI-powered monitoring systems enable continuous and personalized patient care, facilitating early detection of disease progression. Integrating AI algorithms in treatment protocols promises individualized and optimized therapeutic strategies for better management of glaucoma. This comprehensive review elucidates AI applications' current state and future directions in transforming glaucoma care, emphasizing the potential benefits of improving patient outcomes.
Optimization of sensor placement for modal testing using machine learning
Authors: Kelmar Todd W , Chierichetti Maria , Davoudi Fatemeh
Published: March 2024

Modal testing is a common step in aerostructure design, serving to validate the predicted natural frequencies and mode shapes obtained through computational methods. The strategic placement of sensors during testing is crucial to accurately measuring the intended natural frequencies. However, conventional methodologies for sensor placement are often time-consuming and involve iterative processes. This study explores the potential of machine learning techniques to enhance sensor selection methodologies. Three machine learning-based approaches are introduced and assessed, comparing their efficiency with established techniques. The evaluation of these methodologies is conducted using a numerical model of a beam to simulate real-world scenarios. The results offer insights into the efficacy of machine learning in optimizing sensor placement, presenting an innovative perspective on enhancing the efficiency and precision of modal testing procedures in aerostructure design.
Harnessing the Power of Artificial Intelligence for Enhanced Point-of-Care Quality Control in Healthcare
Authors: TANIA CYRIELLE NGNOTOUOM NGNOKAM , ANDIGEMA ANGYIBA , Lethicia Danaëlle MAFO KAMGA , Ekwelle EWANE
Published: March 2024

Artificial intelligence (AI) is increasingly being used to improve the quality control of point-of-care diagnostics. This is caused by a number of factors, including the following: 1. AI can accelerate and improve testing accuracy. In comparison to humans, AI technology can review data more quickly and precisely, reducing errors and improving overall quality assurance. 2. When it comes to improving POC test findings on healthcare issues such as infectious diseases or medical crises such as heart attacks, AI can be used for sophisticated predictive analytics and modeling that aid in better decision-making. 3. Artificial intelligence facilitates process automation, increasing productivity and lowering labor costs in labor-intensive tasks such as testing and analyzing samples collected at point-of-care facilities. 4. The use of AI enables organizations implementing these solutions to gain insights from large volumes of raw diagnostic data generated faster and more accurately, allowing them to build solid frameworks around preventive care initiatives and significantly influence public health outcomes.5. Artificial intelligence (AI) has been demonstrated to be a useful tool for real-time monitoring systems that identify any problems with test results early so that they can be corrected before affected patients receive inaccurate diagnoses or treatment plans based on false information provided by diagnostic tests performed at points of care such as clinics or hospitals.Using these technologies would allow healthcare organizations to spend less on labor while still receiving exact diagnoses and rapid treatment delivery at a fraction of the cost that manual approaches required earlier.
Consumer Information Disclosing Strategy within Consumer Misrepresentation
Authors: Zhong Mingyue , Cheng Yan , Mei Shu-e , Zhong Weijun
Published: March 2024

To decrease privacy risks, consumers may choose to misrepresent when they are asked to offer personal information. This paper examines the impact of consumer misrepresentation on a monopolistic firm and consumers with an economic model. The results show that consumer misrepresentation may benefit the firm but hurt consumers. In addition, consumers misrepresentation may encourage the firm to provide higher personalized service level in certain scenarios, such as, when the unit cost of personalized service is low. Thirdly, when consumers misrepresent, and the firm only covers part of the market, a greater unit value of consumer’s privacy information will reduce the firm’s profit, but a greater unit cost of personalized service increases the firm’s profit.
Novel Tetracyclic Azaphenothiazines With The Quinoline Ring As New Anticancer And Antibacterial Derivatives Of Chlorpromazine
Authors: Jeleń Małgorzata , Otto-Ślusarczyk Dagmara , Morak-Młodawska Beata , Struga Marta
Published: March 2024

Phenothiazine derivatives are widely studied in various fields such as biology, chemistry, and medicine research because of their pharmaceutical effects. The first reagent that was used suc-cessfully in the treatment of psychosis was a phenthiazine derivative, chlorpromazine. Apart from their activity in neurons, chlorpromazine have also been reported to display anticancer and antibacterial properties. In these studies, we present the synthesis and research on the activ-ity against A549, MDA, MiaPaCa, PC3 and HCT116 cancer cell lines and against S. aureus, S. epi-dermidis, E. coli and P. aeruginosa bacterial strains a series of new tetracyclic chlorpromazine ana-logues containing a quinoline scafford in their structure instead of the benzene ring and various substituents at the thiazine nitrogen. The structure of these novel molecules has been deter-mined by 1H NMR, 13C NMR and HRMS spectral techniques. The seven most active of the twen-ty-four new chlorpromazine analogues tested were selected for study of the mechanism of cyto-toxic action. Their ability to induce apoptosis or necrosis in cancer cells was assessed by flow cytometry analysis. The results obtained confirmed the proapoptotic activity of selected com-pounds, especially in terms of inducing late apoptosis or necrosis in cancer cell lines A549, Mi-aPaCa-2 and HCT-116. Furthermore, studies on the induction of cell cycle arrest suggest that the new chlorpromazine analogues exert antiproliferative effects by inducing cell cycle arrest in the S phase and, consequently, apoptosis.
Microstructural Approach Application for Morphological Changes Determination of Grape during Drying
Authors: Senadeera Wijitha , Banks Jasmine , Adiletta Giuseppina , Brewer Kate
Published: March 2024

Grape dehydration is practiced widely in the food industry with large yields of sultanas produced globally. This paper proposes an investigation into grape microstructure changes as it is dried by imaging specimens at intervals during dehydration at two temperatures using scanning electron microscopy. Detailed images of the microstructure were obtained, and a unique image processing algorithm was developed to quantitatively analyse the properties of this microstructure. Two main methods were developed to obtain the complex boundaries of cells present in the grape tissue in over 36 SEM images. Segmentation of the binary image using an adapted watershed function obtained the most consistent and accurate morphological shape. This was compared to a secondary method which used Canny’s edge detection function, morphological closing and skeletonizing to outlines the cellular microstructure. MATLAB was utilised to convert these boundaries into measurable areas so that quantitative data on average cell area, perimeter and cell axis lengths was acquired. It was found that over drying time cell area and perimeter reduced as expected. Some variability in the data was clear due to only single samples being analysed for each temperature and time combination. The development of automatic image processing techniques will enable quantitative data to be extracted from these images. Trends in cell perimeter, diameter and shape will be used to demonstrate relationships between morphological structure, drying temperature, and duration.
Best Administration Schedule for Optimal Efficacy and Safety of Arsenic Trioxide Treatment in Chronic Graft versus Host Disease
Authors: Rongvaux-Gaïda Dominique , Huysse Lieven , Rieger François , Nicco Carole
Published: March 2024

Chronic graft-versus-host disease (cGvHD) occurs in 20-50% of recipients following allogeneic haematopoietic stem cell transplantation (allo-HSCT). Corticosteroids (CS) remain the first line treatment but have suboptimal efficacy and carry the risk of long-term side effects. New agents with a better safety profile and higher efficacy, ideally combining immunomodulatory and antifibrotic properties, are urgently needed. From 2016 to 2020, we conducted a phase 2 clinical trial with ATO in chronic GvHD (ClinicalTrials.gov ID NCT02966301 - GMED16-001). This study aimed to evaluate the efficacy and safety of a first-line combination of arsenic trioxide (ATO) and CS in adult patients with cGvHD who require systemic therapy after a first allo-HSCT for a haematological disease. In this prospective, national, multicenter, single-arm, open-label phase II study, conducted in 5 university hospital centers in France, ATO was initiated within 10 days of starting CS at 1 mg/kg/day. Patients received 11 infusions of ATO per 4-week cycle, at a dose of 0.15 mg/kg per infusion. Patients received 1 or 2 cycles of treatment depending on the clinical response and the assessment of the treating physician. The results were published in July 2022 in a paper entitled "High Response Rate and Corticosteroid Sparing with ATO-Based First-Line Therapy in Chronic Graft-versus-Host Disease after Allogeneic Hematopoietic Stem Cell Transplantation". The GMED16-001 study demonstrated convincing efficacy and safety characteristics of the intravenous drug (Trisenox®/Arscimed®): the first-line use of ATO in addition to corticosteroids was associated with a high clinical response rate and correlated with rapid corticosteroid (CS) sparing in moderate to severe cGvHD after allo-HSCT. We performed a post-hoc analysis of the data to determine the best schedule for treating cGvHD patients with ATO. Our post-hoc analysis leads us to the conclusion that two cycles of ATO, at 0.15 mg/kg/day, 5 days per week for 4 weeks each, separated by a 4-week therapy-free interval, appears to be the most promising treatment schedule.
Design and Development of A Blockchain-Based Financial Aid Distribution System
Authors: Shahrukh Md. Raisul Hasan , Momen Sifat , Mansoor Nafees
Published: March 2024

Contemporary financial systems, despite their inherent complexity and resilience, face significant challenges related to transparency, efficiency, and security. Notable deficiencies in transparency and emerging security vulnerabilities underscore the pressing need for innovative solutions in current financial practices. Hence, this paper introduces a financial distribution system based on a consortium blockchain. Given organizations’ preference for keeping sensitive data private, the partially decentralized nature of consortium blockchains plays a pivotal role in the proposed system’s architecture. Moreover, within this system, the proposed smart contract serves a dual role. It functions not only as a transactional tool but also as a specialized solution designed to improve transactional procedures. Its multifaceted capabilities include ensuring data accuracy, facilitating swift execution, and ensuring adherence to regulatory requirements within the dynamic financial distribution landscape. Through rigorous testing and empirical analysis utilizing the Hyperledger Besu platform, it has been observed that the performance of the proposed system surpasses traditional blockchain frameworks. The results unequivocally demonstrate the proposed system’s proficiency in handling high-frequency financial transactions with minimal computational burden.
Passive Eversion Assessment for Progressive Collapsing Foot Deformity After Lateral Column Lengthening
Authors: Kim Jaeyoung , Hoffman Jeffrey W. , Ellis Scott J. , Deland Jonathan T. , Steineman Brett D.
Published: March 2024

Background:

Reduced hindfoot eversion motion has been proposed as a cause of increased lateral foot pressure following lateral column lengthening (LCL) for progressive collapsing foot deformity (PCFD). A subjective intraoperative assessment of passive eversion has been suggested to help evaluate correction; however, it is unclear how passive eversion correlates with objective measurements of foot stiffness. Our objectives were to quantify the relationship between the maximum passive eversion in hindfoot joints following LCL with plantar pressure during stance and to determine the influence of wedge size on these outcomes.

Methods:

Ten cadaveric specimens extending from the mid-tibia distally were tested on a 6-degrees-of-freedom robot to simulate the stance phase of level walking. Five conditions were tested: intact, simulated PCFD, and 3 LCL wedge conditions (4, 6, and 8 mm). Outcomes included the lateral-to-medial forefoot plantar pressure (LM) ratio during stance and the maximum passive eversion measured in the hindfoot joints. Simple linear regressions were performed to evaluate relationships between outcomes and wedge sizes.

Results:

A strong negative relationship was found between passive subtalar eversion and the LM ratio during stance (r[38] = −0.46; p = 0.0007), but not between passive talonavicular eversion and the LM ratio (r[38] = −0.02; p = 0.37). Wedge size was strongly related to subtalar eversion (r[38] = −0.77; p < 0.0001), talonavicular eversion (r[38] = −0.55; p = 0.0003), and the LM ratio (r[38] = 0.70; p < 0.0001). Increased wedge size resulted in average decreases in subtalar and talonavicular eversion of 1.0° (95% confidence interval [CI]: 0.8° to 1.3°) and 1.2° (95% CI: 0.6° to 1.6°), respectively. Increased wedge size also increased the LM ratio by 0.38 (95% CI: 0.25 to 0.50), indicating a lateral shift in plantar pressure.

Conclusions:

Decreased hindfoot eversion following LCL was related to increased lateral plantar pressure during stance. Increasing wedge size correlated with decreasing passive hindfoot eversion and increasing lateral plantar pressure, suggesting that intraoperative preservation of eversion motion may be important for preventing excessive lateral loading.

Clinical Relevance:

To avoid overcorrection or undercorrection of the deformity, hindfoot eversion assessment in addition to radiographic evaluation may be important for optimizing the amount of lengthening to achieve successful LCL.