bluuebunny/crossref_metadata_2025 huggingface dataset:
Primary Stabbing Headache in Children and Adolescents
Authors: Reimers M. , Bonemazzi I. , Brunello F. , Cavaliere E. , Sartori S. , Toldo I.
Published: January 2024

Background. Primary Stabbing Headache (PSH) is characterized by brief, focal and paroxysmal pain (“stab”), occurring sporadically or in clusters. Data on pediatric cases are poor. Methods. We performed a comprehensive literature review searching Pubmed, Cochrane and Embase in order to collect pediatric case reports and case series of PSH. Results. Twelve out of 162 articles assessed for eligibility were finally included. Prevalence of PSH and probable PSH varies from 2.5 to 10% among children with primary headaches and it is higher among children aged less than 6 years old. The mean age of onset is between 7 and 11 years of age. Attack duration greatly varies, ranging from a few seconds to several minutes. Intensity of pain is usually from moderate to severe. Associated symptoms are infrequent but may be observed (mainly photophobia, vertigo, nausea and vomiting). Neuroradiological findings are usually unremarkable; EEG may show sporadic epileptiform abnormalities (up to 30% of cases). Preventive therapy is anecdotal, including treatment with indomethacin, trazodone, valproate and amitriptyline. Conclusion: PSH is a common but still underdiagnosed entity among children with primary headache; further and larger cohort studies are needed to better assess, in particular, prognosis and response to therapy.
Collaborative Behave for Non-conventional Custom-Made Robotics: A Cable-Driven Parallel Robot Application
Authors: Garrido Julio , Silva-Muñiz Diego , Riveiro Enrique , Rivera-Andrade Josué , Sáez Juan
Published: January 2024

The human-centric approach is a leading trend for future production processes, and collaborative roboticists are key to its realization. This article addresses the challenge of designing a new cus-tom-made non-conventional machine or robot involving toolpath control (interpolated axes) with collaborative functionalities but by using “general-purpose standard" safety and motion control technologies. This is done on a non-conventional Cable-Driven Parallel Robot (CDPR). Safety is assured by safe commands to individual axes, known as Safe Motion Monitoring Functionalities, which limits the axes speed in the event of human intrusion. At the same time, the robot's Motion Controller applies an override to the toolpath speed to accommodate the robot's path speed to the axis’s limitations. The implementation of a new Pre-Warning Zone, prevent unnecessary stops due to the approach of the human operator. The article also details a real experiment that validates the effectiveness of the proposed strategy.
The Role of Rosavin in the Pathophysiology of Bone Metabolism
Authors: Wojdasiewicz Piotr , Turczyn Paweł , Lach-Gruba Anna , Poniatowski Łukasz A. , Purrahman Daryush , Mahmoudian-Sani Mohammad-Reza , Szukiewicz Dariusz
Published: January 2024

Rosavin, a phenylpropanoid in Rhodiola rosea's rhizome, an adaptogen, is known for enhancing the body's response to environmental stress. It significantly affects cellular metabolism in health and many diseases, particularly influencing bone tissue metabolism. In vitro, rosavin inhibits osteoclastogenesis, disrupts F-actin rings formation, and lowers osteoclastogenesis-related gene expression (cathepsin K, CTR, TRAF6, TRAP, MMP-9). It also impedes NFATc1, c-Fos, NF-κB, and MAPK signaling pathways, and blocks phosphorylation processes crucial for bone resorption. Moreover, rosavin promotes osteogenesis, osteoblast differentiation and increases Runx2 and OCN expression. In vivo studies show its effectiveness in enhancing BMD in PMOP mice, re-straining osteoclast maturation, and increasing active osteoblast percentage in bone tissue. It modulates mRNA expressions (increasing EEF2 and decreasing HDAC1, thereby activating os-teoprotective epigenetic mechanisms) and alters various serum markers, including decrease of CTX-1, TRAcp5b, RANKL, M-CSF, TRAP, and increase of ALP and OCN. Additionally, when combined with zinc and probiotics, it reduces pro-osteoporotic MMP-3, IL-6, TNF-α, and en-hances anti-osteoporotic IL-10 and TIMP3 expressions. This paper aims to systematically review rosavin's impact on bone tissue metabolism, exploring its potential in osteoporosis prevention and treatment, and suggesting future research directions.
Anti-shigellosis Activity and Mechanisms of Action of Extracts from Diospyros gilletii Stem Bark.
Authors: Nguelo Talla Audrey Carrel , Madiesse Kemgne Eugénie Aimée , Ngouana Vincent , Noumboue Kouamou Bijou-Lafortune , Nzeye Ngameni Listone Monelle , Pinlap Brice Rostan , Dongmo Melogmo Yanick Kevin , Nguena-Dongue Branly-Natalien , Pone Kamdem Boniface , Keilah Lunga Paul , Fekam Boyom Fabrice
Published: January 2024

Shigellosis is a pathological condition that affects the digestive system to possibly cause diarrhoea. Shigella species, which are responsible for this disease, are highly contagious and spread through contaminated food and water. The increasing development of resistance by Shigella species necessitate the urgent need to search for new therapies against shigellosis causing diarrhoea. The scientific validation of medicinal plants, such as Diospyros gilletii, which is used for the traditional treatment of diarrhoeal conditions is worthwhile. The present study aims to investigate the antibacterial activity of extracts from D. gilletii against selected Shigella species. Extracts from D. gilletii stem bark were prepared by maceration using various solvents. An-tibacterial activity of D. gilletii extracts was evaluated on Shigella dysenteriae, S. flexneri, S. boydii, and S. sonnei using a microdilution method, whereas cytotoxicity test was performed on Vero and Raw cells using resazurin-based colorimetric assay. Bacterial membrane permeability studies were evaluated using pro-pidium iodide (PI) and 1-N-phenylnaphthylamine (NPN) uptake assays, whereas inhibition and eradica-tion tests on bacterial biofilms were carried out by spectrophotometry. As a result, methanol, ethanol and hydroethanol extracts of D. gilletii inhibited the growth of S. boydii, S. flexneri and S. sonnei with MIC values ranging from 125 to 500 µg/mL, without toxicity to Vero and Raw cells. Time kill kinetics revealed bacteri-cidal orientation at 2MIC and 4MIC, and bacteriostatic outcome at 1/2MIC. The mechanistic basis of anti-bacterial action revealed that D. gilletii extracts inhibited and eradicated Shigella biofilms, and promoted the accumulation of NPN and PI within the inner and outer membrane of bacteria to increase membrane per-meability, thereby causing membrane damage. This novel contribution toward the antibacterial and mech-anisms of action of D. gilletii extracts against Shigella species substantiate the use of this plant in the tradi-tional treatment of infectious diarrhoea.
Effective Strategies in Primary Second Language Education
Authors: ALİSOY Hasan
Published: January 2024

This study investigates effective strategies for second language education in primary schools, analyzing the efficacy of immersive and interactive methods, digital literacy tools, and mixed-method approaches. The findings reveal significant improvements in language proficiency and student engagement through these methodologies, with immersive and interactive strategies showing substantial benefits in oral proficiency and engagement, digital tools enhancing accessibility and engagement, and mixed-method approaches yielding the highest overall effectiveness. The study underscores the importance of a balanced, flexible approach to language education, integrating traditional and modern methods to cater to diverse learner needs. These strategies not only advance linguistic skills but also contribute to the broader cognitive and emotional development of young learners, emphasizing the critical role of effective language education in preparing students for a globalized world.
Detection and Negative Reversion of Circulating Tumor Cells as Prognostic Biomarkers for Metastatic Castration-Resistant Prostate Cancer with Bone Metastases Treated by Enzalutamide
Authors: Nakamura So , Nagata Masayoshi , Nagaya Naoya , Ashizawa Takeshi , Hirano Hisashi , Lu Yan , Ide Hisamitsu , Horie Shigeo
Published: January 2024

Enzalutamide is a second-generation androgen-receptor inhibitor that increases overall survival (OS) rates in patients with metastatic castration-resistant prostate cancer (mCRPC). This study evaluates the efficacy of circulating tumor cell (CTC) status as a prognostic biomarker after enzalutamide administration. A retrospective subgroup analysis and prognostic survey of 43 patients with mCRPC and bone metastases, treated in Juntendo University-affiliated hospitals from 2015–2022, were conducted. Patients were treated with 160 mg enzalutamide daily. CTC analyses on blood samples were performed regularly before and every three months post-treatment. Relationship between the patients' clinical factors and the OS rate was analyzed using the log-rank test; the median OS was 37 months. Patients with no detected CTCs at baseline showed significantly longer OS than those with CTCs at baseline. Furthermore, patients showing negative reversion of CTCs during enzalutamide treatment had significantly longer OS than patients with CTC-positive continuation. Two biomarkers–higher hemoglobin at baseline and achieving negative-reversion of CTCs–were significantly associated with prolonged OS. This study suggests that patients achieving CTC-negative reversion during treatment for mCRPC with bone metastases exhibit improved long-term OS. Chronological measurement of CTC status might be clinically useful in treatment of mCRPC.
Establishing and Situating Functional Features of a Machine Component Using Iso GPS Situation Features. Application to the Alignment of Magnets in a Particle Accelerator
Authors: Nicquevert Bertrand , Rey Fabien
Published: January 2024

The building blocks of a scientific facility based on particle beams comprise magnets and electro-magnetic devices. The design of an overall accelerator usually imposes a demanding accuracy on their exact position and orientation. Their non-geometrical functional features are frequently either not clearly defined – what is the « magnetic axis » of a magnet –, or not explicitly used along their lifecycle. Improving the process to establish and use these functional features would contribute to meeting demanding challenges. The European Spallation Source (ESS) is aiming at providing a powerful proton linear accelerator and a target system to produce pulsed neutrons. The challenging complex design and integration yielded to introducing a tool for all stakeholders along the lifecycle: the "situation features", as defined in ISO GPS (Geometrical Product Specifications) standards. This paper deals with the beyond-mechanics non-geometrical use cases and generalizes the use of the association operation to theoretically exact features. The examples of the functional specification, fiducialization (measure of the real features with respect to external marks) and installation phases of quadrupole magnets is developed. Perspectives of generic use are highlighted.
Assessing the Impact of Long-term High-Dose Statin Treatment on Pericoronary Inflammation and Plaque Distribution - a Comprehensive Coronary CTA Follow-up Study
Authors: Mátyás Botond-Barna , Benedek Imre , Raț Nóra , Blîndu Emanuel , Parajkó Zsolt , Mihăilă Theofana , Benedek Theodora
Published: January 2024

(1) Background: CTA has validated the use of pericoronary adipose tissue (PCAT) attenuation as a credible indicator of coronary inflammation and plays a crucial role in coronary artery disease (CAD). This study aimed to evaluate the long-term effects of high-dose statins on PCAT attenuation at coronary lesion sites and changes in plaque distribution; (2) Methods: Our prospective observational study included 52 patients (mean age 60.43) with typical chest pain, a low-to-intermediate likelihood of CAD, and documented atheromatous plaque through CCT. We utilized advanced features of the CaRi-Heart® and syngo.via Frontier® systems to assess coronary plaques and changes in PCAT attenuation; (3) Results: Changes in plaque morphology were investigated, revealing significant alterations. Notably, in mixed plaques, calcified portions increased (p < 0.0001), while non-calcified plaque volume (NCPV) decreased (p = 0.0209). PCAT attenuation generally decreased after one year and remained low, indicating reduced inflammation in the following arteries: LAD (p = 0.0142), LCX (p = 0.0513), and RCA (p = 0.1249). The CaRi-Heart® risk also decreased significantly (p = 0.0041). Linear regression analysis demonstrated a correlation between increased PCAT attenuation and higher volumes of NCPV (p < 0.0001, r = 0.3032) and lipid-rich plaque volume (p < 0.0001, r = 0.3281); (4) Conclusions: Our study provides evidence that high-dose statin therapy significantly reduces CAD risk factors, inflammation, and plaque vulnerability, as evidenced by the notable decrease in PCAT attenuation, a critical indicator of plaque progression.
Gold(I) N-heterocyclic Carbene Complexes with 7-Azaindoles Demonstrate In Vitro Antiproliferative Effects on Ovarian Cancer Cells and Anti-inflammatory Activity
Authors: Trávníček Zdeněk , Vančo Ján , Belza Jan , Čajan Michal , Hošek Jan , Dvořák Zdeněk
Published: January 2024

The gold(I) N-heterocyclic carbene (NHC) complexes, containing a combination of 1,3-bis(2,6-diisopropylphenyl)imidazol-2-ylidene (iPr) and the corresponding 7-azaindole derivative (HL1-4), were prepared and structurally characterized. The complexes of the composition of [Au(iPr)(HLn)], where n = 1–4 for 5-fluoro-7-azaindole (1), 5-bromo-7-azaindole (2), 3-chloro-7-azaindole (3) and 3-iodo-7-azaindole (4), were further evaluated for their in vitro anti-cancer and anti-inflammatory activities. The results showed that complexes (1–4) behave as considerably cytotoxic against human ovarian cancer cell line A2780 (with IC50 = 4–9 mircoM) and cisplatin-resistant cell line A2780R (with IC50 = 5–8 microM, except for 2 with IC50 > 25 microM), providing significantly higher cytotoxicity than anticancer drug cisplatin. Moreover, they also revealed a relatively good selectivity over normal cells (MRC-5), with the values of selectivity index, SI > 2.5. The complex 4 was further studied for its cellular effects in A2780 cells by cell cycle analysis, induction of apoptosis, intracellular ROS production, activation of caspases 3/7 and disruption of mitochondrial membrane potential. The ability of complexes (1–4) to influence the activity of pro-inflammatory transcription factor NF-κB and secretion of TNF-α were evaluated, showing that complex 4 reveals comparable effects as the inflammatory drug Auranofin.
Research on Dynamic Modeling Method and Flying Gait Characteristics of Quadruped Robots with Flexible Spines
Authors: Jiang Lei , Xu Zhongqi , Zheng Tinglong , Zhang Xiuli , Yang Jianhua
Published: January 2024

In recent years, both domestic and international research on quadruped robots has advanced towards high dynamics and agility, with a focus on high-speed locomotion as a representative motion in high-dynamic activities. Quadruped animals like cheetahs exhibit high-speed running capabilities, attributed to the indispensable role played by their flexible spines during the flight phase motion. This paper establishes dynamic models of quadruped robots with different degrees of spine flexibility, providing a parameterized description of the flight phase motion for both rigid trunks and flexible spine quadruped robots. By setting different initial values for the spine joint and calculating the flight phase results for both types of robots at various initial velocities, the study compares and analyzes the impact of a flexible spine on the flight phase motion of quadruped robots. Through comparative experiments, the research aims to validate the influence of a flexible spine during the flight phase motion, providing insights into how spine flexibility affects the flight phase motion of quadruped robots.
Flame Retardant Additives Used for Polyurea-Based Elastomers—A Review
Authors: Dukarski W. , Rykowska I. , Krzyżanowski Piotr , Gonsior M.
Published: January 2024

The growing interest in modern polymer materials targeted the research on complex plastic coatings and the possibilities of modifying their features and properties during manufacturing. Today's modern coatings, including polyurea and polyurethane, are among the most modern developed resins. Compared to other polymer coatings, they are distinguished by their versatility, strength, and durability. They undoubtedly represent the next step in the evolution of coatings. Advances in coating technology have also led to the development of spray, injection, and roto-cast application equipment, improving polyurea-based elastomers’ performance. For many years, there has been much interest in increasing the flame resistance of polymers. This is dictated by safety considerations and the increasing requirements for the flammability of plastics, the area of application of which is growing every year. This text attempts to provide an overview of current research on flame retardant composites. Particular attention was paid to polyurea (PU) and polyurea-based hybrids and the application areas of polyurea coatings. The paper defines flame retardants, discusses how they work, and presents types of flame retardants and the current trends of their usage in the production of plastics.
Safe Pigs for Xenotransplantation: Characteristics and Diagnostic Methods of Vertical Transmissible Viruses
Authors: Kim Su-Jin , Moon Joonho
Published: January 2024

Amid the deepening imbalance in the supply and demand of allogeneic organs, xenotransplanta-tion can be a practical alternative because it makes an unlimited supply of organs possible. How-ever, to perform xenotransplantation on patients, the source animals to be used must be free from infectious agents. This requires breeding of animals using assisted reproductive techniques, such as somatic cell nuclear transfer, embryo transfer, and cesarean-section, without colostrum de-rived in designated pathogen-free (DPF) facilities. Most infectious agents can be removed from animals produced by these methods, but several viruses known to pass through the placenta are not easy to remove, even with these methods. Therefore, in this review, we look at the characteris-tics of several viruses known to cross the placenta and determine how they can be detected. This review is intended to help maintain DPF facilities by preventing animals infected with the virus from entering DPF facilities and to help select pigs suitable for xenotransplantation.
Wood Extracts for Dyeing of Cotton Fabrics—Special View on Mordanting Procedures
Authors: Mai Thanh Hoa , Grethe Thomas , Mahltig Boris
Published: January 2024

Natural dyes offer a bio-based opportunity to support attractive coloration to textile fabrics made from natural fibers like cotton, wool, hemp and many other materials. They can be part of a strategy to realize fully bio-based textile materials and clothing. Following this statement, the actual study investigates the use of wood extracts for dyeing of cotton fabrics. Actually extract powders of Logwood (Haematoxylon campechianum L.), Brazilwood (Caesalpinia spp.), and Quebracho wood (Schinopsis lorentzii) are used. The dyeing process is modified using different mordants based on iron and aluminum salts. These mordants are applied in pre-, meta- or post-mordant procedures. Color and fastness properties of prepared textile samples are determined by spectroscopic measurements, color measurements, washing procedures and Xenotest for measuring the light fastness. Finally, a broad range of different colorations can be realized by different combinations of wood extracts and mordanting procedures. A good wash fastness is reached for some color shades. For reaching good wash fastness, pre- and meta-mordanting procedures are more advantageous compared to post-mordanting. However, the light fastness of realized samples is only moderate to low. In conclusion, it can be stated that dyes from wood extracts are excellent materials to dye natural fibers if they are combined with the right mordanting agent in pre- or meta-mordanting procedures. The actual study is therefore a good proof-of-concept for the realization of fully bio-based colored textile materials.
Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data
Authors: Maksymov Ivan S.
Published: January 2024

Reservoir computing (RC) systems can efficiently forecast chaotic time series using nonlinear dynamical properties of an artificial neural network of random connections. The versatility of RC systems has motivated further research on both hardware counterparts of traditional RC algorithms and more efficient RC-like schemes. Inspired by the nonlinear processes in a living biological brain and using solitary waves excited on the surface of a flowing liquid film, in this paper we experimentally validate a physical RC system that substitutes the effect of randomness for a nonlinear transformation of input data. Carrying out all operations using a microcontroller with a minimal computational power, we demonstrate that the so-designed RC system serves as a technically simple hardware counterpart to the `next-generation’ improvement of the traditional RC algorithm.
Sustainable Innovation in Organizations: A Look from Processes, Products and Services
Authors: Zartha Sossa Jhon Wilder , Orozco Mendoza Gina Lía , Barreto Reyes Diana Carolina , Garcia Rubio Diego Alejandro
Published: January 2024

Sustainability has been playing a major role on the world stage. As with everything in the be-ginning, it was aligned to purely environmental contexts, but with the passing of the years and the new way of producing, marketing, and consuming, this concept has encompassed other as-pects which are the way of producing products and services.

In this article, to obtain information on the implementation of sustainable innovation, a search equation was formulated in the SCOPUS database, contemplating the period from 2018 to 2023 as a time interval, with a total of 62 articles.

Once the search of the published articles was carried out, 7 categories were formed to classify the research topic of each of the publications with Bibliometrix software, according to the main ob-jective and methodology used in each one. In this sense, 44% of the articles published are related to open innovation, and 26% of the articles are focused on sustainable business models. At the end of the analysis of the implementation of innovation according to the articles consulted, it was possible to establish that sustainable innovation began an important work, in the mitigation of the adverse impacts.
Inclusion of Underrepresented Populations in Cardiovascular Genetics and Epidemiology
Authors: Chappell Elias , Arbour Laura , Laksman Zachary
Published: January 2024

Novel genetic risk markers have helped to advance the field of cardiovascular epidemiology and refine our current understanding and risk stratification paradigms. Discovery and analysis of variants can help to tailor prognostication and management. However, populations underrepresented in cardiovascular epidemiology and cardiogenetics research may experience inequities in care if prediction tools are not applicable to them clinically. Therefore, the purpose of this article is to outline the barriers that underrepresented populations can face in participating in genetics research, describe current efforts to diversify cardiogenetics research, and outline strategies that researchers in cardiovascular epidemiology can implement to include underrepresented populations. Mistrust, a lack of diverse research teams, improper use of sensitive biodata, and constraints of genetic analyses are all barriers for including diverse populations in genetics studies. Current work is beginning to address the paucity of ethnically diverse genetics research and has already begun to shed light on the potential benefits of including underrepresented and diverse populations. Reducing barriers for individuals, utilizing community-driven research processes, adopting novel recruitment strategies, and pushing for organizational support for diverse genetics research are key steps that clinicians and researchers can take to develop equitable risk stratification tools and improve patient care.
HER2 Positive Early Breast Cancer: Time for Ultimate De-escalation?
Authors: Tauber Nikolas , Cirkel Christoph , Claussen Anna , Fick Franziska , Kontomanolis Emmanuel , Krawczyk Natalia , Rody Achim , Banys-Paluchowski Maggie
Published: January 2024

De-escalation is currently taking place both in surgical and systemic treatment of breast cancer. The introduction of trastuzumab, the first monoclonal antibody against the HER2 receptor over 20 years ago was a milestone in the treatment of HER2 positive breast cancer and marked the beginning of a new era in targeted tumor therapy. In the sense of de-escalation, omitting non-targeted cytotoxic chemotherapy altogether is often hailed as the ultimate goal of oncological research. Especially in case of small, node-negative, HER2 positive early breast cancer, it remains a challenge for clinicians to establish the safest and most efficient treatment plan while considering the significant potential for toxic side effects associated with chemotherapy and HER2 targeted therapy, and the generally excellent prognosis. In this context, several ongoing studies are currently assessing chemotherapy-free regimens as part of strategies aimed at de-escalating therapy in the field of HER2 positive early breast cancer. Despite promising early results from these studies, combination of anti-HER2 treatment with chemotherapy backbone remains standard of care.
Use of Monoglycerides and Diglycerides to Mitigate Poultry Production Losses: A Review
Authors: Appleton Stacie , Ballou Anne , Watkins Kevin
Published: January 2024

Consumer preference not only dictates what food is consumed but how that food is produced. Ingredients in livestock feed that are not antibiotics, not genetically modified, not of animal origin, and that are nutrient-like, tend to be more acceptable to consumers, retailers, and producers. Mono- and diglycerides (MDG) fit these criteria, are commonly used in food, and are generally recognized as safe. But beyond being emulsifiers and a source of energy, MDG are also known to have antimicrobial, immune and microbiome modulation, and angiogenic activity. MDG in broiler diets have been shown to impact a variety of immune-related functions such as regulation of circulating antibodies, as well as decreased gene expression or protein concentration of pro-inflammatory cytokines like TNF-α, IL-1β, IL-6, and IFN-γ. In addition, MDG can affect metabolic function and intestinal integrity. Results of this review show that MDG can serve as antimicrobial and growth-supporting alternatives for reducing poultry production losses, improving resource utilization, and meeting consumer demand for sustainably produced and safe animal protein.
Optimizing Multidimensional Pooling for Variational Quantum Algorithms
Authors: Jeng Mingyoung , Nobel Alvir , Jha Vinayak , Levy David , Kneidel Dylan , Chaudhary Manu , Islam Ishraq , Baumgartner Evan , Vanderhoof Eade L , Facer Audrey , Singh Manish , Arshad Abina , El-Araby Esam
Published: January 2024

Convolutional neural networks (CNNs) have proven to be a very efficient class of machine learning (ML) architectures for handling multidimensional data by maintaining data locality, especially in the field of computer vision. Data pooling, a major component of CNNs, plays a crucial role for extracting important features of the input data and downsampling its dimensionality. Multidimensional pooling, however, is not efficiently implemented in existing ML algorithms. In particular, quantum machine learning (QML) algorithms have a tendency to ignore data locality for higher dimensions by representing/flattening multidimensional data as simple one-dimensional data. In this work, we propose using the quantum Haar transform (QHT) and quantum partial measurement for performing generalized pooling operations on multidimensional data. We present the corresponding decoherence-optimized quantum circuits for the proposed techniques along with their theoretical circuit depth analysis. Our experimental work was conducted using multidimensional data, ranging from 1-D audio data, to 2-D image data, to 3-D hyperspectral data, to demonstrate the scalability of the proposed methods. In our experiments, we utilized both noisy and noise-free quantum simulations on a state-of-the-art quantum simulator from IBM Quantum. We also show the efficiency of our proposed techniques for multidimensional data by reporting the fidelity of results.
Partial Epididymal Obstruction as a Cause of Idiopathic Oligozoospermia: A Reproductive Urologist’s Perspective Following 35 Years of Surgical and Clinical Experience.
Authors: Colpi Giovanni M. , Caroppo Ettore
Published: January 2024

Keywords: oligozoospermia; male infertility; epididymis; scrotal exploration; scrotal ultrasound; partial epididymal obstruction
Platelets and Thrombotic Antiphospholipid Syndrome
Authors: Tohidi Ibrahim , Mittal Prabal , Isenberg David , Cohen Hannah , Efthymiou Maria
Published: January 2024

Antiphospholipid antibody syndrome (APS) is an autoimmune disorder characterised by thrombosis and the presence of antiphospholipid antibodies (aPL): lupus anticoagulant and/or IgG/IgM anti-β2-glycoprotein I and anticardiolipin antibodies. APS carries significant morbidity for a relatively young patient population from recurrent thrombosis in any vascular bed (arterial, venous or microvascular), often despite current standard of care, which is anticoagulation with vitamin K antagonists (VKA). Platelets have established roles in thrombosis at any site, and platelet hyperreactivity is clearly demonstrated in the pathophysiology of APS. Together with excess thrombin generation, platelet activation and aggregation are the common end result of all the pathophysiological pathways leading to thrombosis in APS. However, antiplatelet therapies play little role in APS, reserved as a possible option of low dose aspirin in addition to VKA in arterial or refractory thrombosis. This review outlines the current evidence and mechanisms for excessive platelet activation in APS, how it plays a central role in APS-related thrombosis, what evidence for antiplatelets is available in clinical outcomes studies and potential future avenues to define how to target platelet hyperreactivity better with minimal impact on haemostasis.
(m, n)-Prime Ideals Ideals of Commutative Rings
Authors: Khashan Hani , Yetkin Celikel Ece
Published: January 2024

Let R be a commutative ring with identity and m, n be positive integers. In this paper, we introduce the class of (m,n)-prime ideals which lies properly between the classes of prime and (m,n)-closed ideals. A proper ideal I of R is called (m,n)-prime if for a,b∈R, a^{m}b∈I implies either aⁿ∈I or b∈I. Several characterizations of this new class with many examples are given. Analougus to primary decomposition, we define the (m,n)-decomposition of ideals and show that every ideal in an n-Noetherian ring has an (m,n)-decomposition. Furthermore, the (m,n)-prime avoidance theorem is proved.
Research on a Visual/UWB Tightly Coupled Fusion Localization Algorithm
Authors: Jiang Pin , Hu Chen , Wang Tingting , Lv Ke , Guo Tingfeng , Jiang Jinxuan , Hu Wenwu
Published: January 2024

In the autonomous navigation of mobile robots, precise positioning is crucial. In forest environments with weak satellite signals or in sites disturbed by complex environments, satellite positioning accuracy has difficulty in meeting the requirements of autonomous navigation positioning accuracy for robots. This article proposes a binocular vision SLAM/UWB tightly coupled localization method. The core of this algorithm is based on an Extended Kalman Filter (EKF), which utilizes the displacement increment output by binocular vision ORB-SLAM and the positioning coordinates calculated via UWB positioning as measurement information to achieve data fusion. The research utilized the constructed experimental platform to collect images and UWB ranging data in outdoor environments and experimentally validated the combined positioning method. The experimental results show that this algorithm outperforms the use of the individual UWB or visual SLAM localization methods in terms of positioning accuracy. Compared with traditional single positioning algorithms, this algorithm exhibits better practicality and stability, and can effectively suppress the impact of UWB non line of sight errors. The average error under normal line of sight conditions is 0.058 m, the root mean square error (RMSE) is 0.080, and the average error under non-line-of-sight conditions is 0.081 m, with an RMSE of 0.084. There is no significant jump or drift. Through the tightly coupled processing of binocular vision SLAM and UWB positioning, more reliable and accurate mobile robot positioning can be achieved, providing a useful reference for the autonomous navigation of mobile robots in complex environments.
Autumn Olive (Elaeagnus umbellata Thunb.) Berries Improve Lipid Metabolism and Delays Aging in Middle-Aged C. elegans
Authors: Kim Yebin , Nam Seonghyeon , Lim Jongbin , Jang Miran
Published: January 2024

This study aimed to evaluate the positive effect of autumn olive berries (AOB) extract on aging delay by improving the lipid metabolism of middle-aged C. elegans who became obese due to high glucose (GLU) diet. As a result of investigating the total phenol content and DPPH radical scavenging ability of freeze- or spray-dried AOB, freeze-dried AOB showed better antioxidant potential. Afterward, through HPLC analysis, it was confirmed that catechin was the main compound in the polyphenols of AOB. Therefore, we used freeze-dried AOB in subsequent in vivo experiments. AOB inhibited lipid accumulation in both the young adult and middle-aged groups in a concentration-dependent manner under both normal and 2% GLU conditions. Additionally, AOB inhibited ROS accumulation in a concentration-dependent manner under normal and 2% GLU conditions in the middle-aged worms. In particular, AOB also increased the number of body bending and egg production in middle-aged worms. To confirm the intervention of genetic factors related to lipid metabolism in the effect of AOB, body lipid accumulation was confirmed using worms deficient in the daf-16, atgl-1, aak-1, and akt-1. Regarding the effect of AOB on reducing lipid accumulation, the impact was nullified in daf-16 deficient worms under the 2% GLU condition and nullified in both daf-16 and deficient worms under fasting conditions. This means that AOB regulates lipogenesis and lipolysis by mediating daf-16 and atgl-1 in middle-aged worms. Our results suggest that AOB contributes to the aging delay effect by improving lipid metabolism in metabolic impaired middle-aged worms.
Review: Fractal Geometry in Precipitation
Authors: Monjo Robert , Meseguer-Ruiz Oliver
Published: January 2024

Rainfall, or more generally the precipitation process (flux), is a clear example of chaotic variables resulting from a highly nonlinear dynamical system, the atmosphere, represented by a set of physical equations such as the Navier-Stokes equations, energy balances and hydrological cycle among others. As a generalization of the Euclidean (ordinary) measurements, chaotic solutions of these equations are characterized by fractal dimensions, which are non-integer values that represent the complexity of variables like the precipitation. However, observed precipitation is measured as an aggregate variable over time, thus physical analysis of the observed fluxes is very limited. Therefore, this review aims to go through the different approaches used in the identification and analysis of the complexity of the observed precipitation, taking advantage of its geometry footprint. To address the review, it ranges from classical perspectives of fractal-based techniques to new perspectives at temporal and spatial scales as well as for classification of climatic features, including monofractal dimension, multifractal approaches, Hurst exponent, Shannon entropy and time scaling in intensity-duration-frequency curves.
Analisis Faktor-Faktor yang Menjelaskan Tingkat Kematian Akibat Bunuh Diri pada Negara-Negara di Benua Asia dan Eropa
Authors: Yekti Widyaningsih  , Setjiadi Nerissa Netanaya
Published: January 2024

Many Indonesians still view mental health as a taboo subject and people with mental disorders are treated like a disgrace. As a result, they have difficulty getting the help they need and can end in suicide. The objects of research are countries in Asia and Europe. The purposes of this research are to analyze factors explaining death rate due to suicide and to work out the grouping results of Asian and European countries. The methods used are multiple linear regression, Ward’s method clustering, and Biplot mapping. Based on the analysis result, it is obtained that factors of having no religion, alcohol consumption, and psychiatrists’ availability have significant positive relationships with suicide rate. Factors of income and unemployment have significant negative relationships with suicide rate. Factor of education level has no significant effect with suicide rate. Two groups of countries are formed, namely group 1 consisting of 46 countries and group 2 consisting of 44 countries. Result of mapping based on the groups using the Biplot method is able explain 63,7% of data diversity. Group 1 is a group of countries that have a high unemployment rate and low values in: suicide rate, proportion of irreligious people, Gross Domestic Product (GDP) per capita, number of psychiatrists, and education level. Group 2 is a group of countries that have high values in: suicide rate, proportion of irreligious people, GDP per capita, number of psychiatrists, and education level while the unemployment rate is low.
Perbandingan Metode K-Means Clustering dengan Self-Organizing Maps (SOM) untuk Pengelompokan Provinsi di Indonesia Berdasarkan Data Potensi Desa
Authors: Iyohu Lisa Rianti , Ismail Djakaria  , La Ode Nashar
Published: January 2024

K-Means is a method of grouping data into several different groups so that data that has similar characteristics is made into one group while data that has different characteristics is made into a different group, where this method works by minimizing the distance between the data and the cluster center. In addition to K-Means clustering, there is also the Self Organizing Maps (SOM) method which is an undirected method, meaning that layers consisting of neurons are arranged into groups based on input values, where each data grouping process is based on the characteristics or features of the data. Clustering is carried out in Provinces in Indonesia based on village potential data in 2021 with the aim of knowing the performance comparison of K-Means clustering and Self Organizing Maps (SOM). Determination of the optimal number of clusters is carried out using the Elbow method, the results in the study obtained 3 clusters for both K-Means clustering and Self Organizing Maps (SOM). The clustering results are evaluated using the Davies Bouldin Index (DBI) value and show that clustering using the Self Organizing Maps (SOM) method provides better results than using the K-Means clustering method where the DBI value is 0.1829366. The clustering results using the Self Organizing Maps (SOM) method for cluster 1 consist of 31 province members, cluster 2 consists of 1 province member and cluster 3 consists of 2 province members.
Bagan Kendali Variansi dengan Penambahan Variabel pada Nilai Ekspor dan Berat Ekspor
Authors: Widyanti Rahayu  , Daisy Salsabilah
Published: January 2024

To create products or services that meet certain quality standards, supervision and control need to be carried out. Quality control monitors changes in the level of variability, or the level of average, or both to observe changes that occur during the production process. The monitoring stage begins with controlling variability, followed by controlling the average level. Walter A. Shewhart (1920) introduced several variability control charts, including the S2 variance control chart, which involves one quality characteristic, Y. Riaz (2008) introduced a regression-type estimator of the variance of Y using additional correlated information X. This control chart is known as the Vr control chart and shows better results than the S2 control chart. Furthermore, Riaz (2009) introduced a Vt control chart, created based on a ratio-type estimator of the variance of Y. The accuracy of the Vt control chart increases as the value increases. The S2, Vr, Vt control chart is used to monitor the variability of export value (Y) using additional information on export weight (X). All three charts indicate that the variability in export values is out of control. Comparison of the results obtained from the Vt, Vr, and S2 control charts is made by examining the power curve of each chart. Specifically, it was observed that the Vt control chart produces more consistent and accurate conclusions.
Regresi Nonparametrik Spline Truncated untuk Memodelkan Tingkat Pengangguran Terbuka di Pulau Kalimantan
Authors: Andi Nohe Darnah
Published: January 2024

Nonparametric regression is a statistical technique employed to discern the relationship pattern between a predictor variable and a response variable in the absence of prior information about the form of the regression function or when the pattern of the regression curve is unknown. Truncated spline nonparametric regression represents an approach for aligning data, considering the curve's smoothness. It possesses continuous segmented characteristics, offering flexibility and adeptly accommodating the explanation of local data function features. The study aims to identify the influencing factors on the open unemployment rate in Kalimantan Island during 2020. Additionally, it seeks to derive a spline truncated nonparametric regression model for Open Unemployment Rate data in Kalimantan Island for the same year. The study employs a nonparametric regression model with a spline truncated method, determining optimal knot points based on the minimum Generalized Cross Validation (GCV) value. The study reveals that the most effective spline truncated nonparametric regression model features two knot points. Significant factors influencing the open unemployment rate include the labor force participation rate, school year expectations, regional gross domestic product at current prices, and the human development index.
Analisis Faktor Konfirmatori untuk Mengidentifikasi Peubah Indikator Utama dalam Pengukuran Peubah Laten
Authors: Dian Handayani  , Fakhirah Maryam  , Faroh Ladayya  , Irsyad Hasari
Published: January 2024

Research on attitudes, preferences and behavior are research that involves latent variables. Latent variables are measured by observing some indicator variables. Indicator variables that measure a latent variable are selected based on the researcher's perspective, however, it is necessary to consider the previous of related research. Indicator variables need to have theoretical meaning, be valid and reliable in measuring latent variables. Confirmatory factor analysis (CFA) is a statistical method that can be used to determine the validity of the indicator variables. In this research, CFA is used to determine the main indicator variables that characterize the reasons for choosing a study program at a university by high school graduates (or equivalent). There are 20 indicator variables chosen to represent several latent factors such as image, job prospects, interests and campus facilities. The results indicate that the latent factors of image, job prospects, interest and facilities can be respectively represented by the majority of alumni occupying strategic positions in their careers, the easiness of alumni for getting a job, a large number of individuals in surroundings who are working as a data analysts and representative library. The findings also reveals that all the selected indicators are significant so that no indicators need to be excluded. Evaluation of the model shows that the specified model fits the analyzed data. This is indicated by the Comparative Fit Index (CFI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR) values ​​which reach good fit criteria.
Implementasi Proyek Penguatan Profil Pelajar Pancasila sebagai Upaya Menguatkan Karakter Peserta Didik
Authors: Ulandari Sukma , Rapita Desinta Dwi
Published: January 2024

Penelitian ini bertujuan untuk menganalisis implementasi Proyek Penguatan Profil Pelajar Pancasila (P5) sebagai upaya menguatkan karakter peserta didik meliputi desain; pengelolaan; pengolahan asesmen dan pelaporan hasil; evaluasi dan tindak lanjut. Penelitian ini menggunakan metode kualitatif deskriptif di Sekolah Menengah Kejuruan Cendika Bangsa Kepanjen Kabupaten Malang tahun 2022. Teknik pengumpulan data berupa wawancara, observasi, dan dokumentasi. Data dianalisis dengan teknik interaktif meliputi pengumpulan data, kondensasi data, penyajian data, dan kesimpulan/verifikasi. Hasil penelitian menunjukkan bahwa 1) desain P5 terdiri dari membentuk tim, mengidentifikasi kesiapan sekolah, menentukan dimensi karakter Profil Pelajar Pancasila yang ingin dikuatkan, menentukan tema, merencanakan waktu, alur, asesmen, dan membuat modul; 2) pengelolaan P5 meliputi provokasi dan kontekstualisasi, aksi P5, serta perayaan hasil belajar; 3) pengolahan asesmen dan pelaporan hasil P5 meliputi mengoleksi, mengolah hasil asesmen, dan penyusunan rapor proyek; 4) evaluasi dan tindak lanjut P5 berupa penguatan karakter serta melanjutkan kebiasaan yang baik dengan program Mari Beraksi. Melalui aksi P5 dapat menguatkan dimensi karakter Profil Pelajar Pancasila pada peserta didik terutama beriman, bertakwa kepada Tuhan Yang Maha Esa serta berakhlak mulia, bergotong royong, mandiri, berkebhinekaan global, bernalar kritis dan kreatif.
Las reliquias de Lorca. Fetichismo positivista y adulteración hermenéutica
Authors: Jiménez Heffernan Julián
Published: January 2024

La búsqueda de los restos del cuerpo de Federico García Lorca ha reabierto necesariamente un debate sobre la significación cultural del poeta. En gran medida, la compulsión testimonial de muchos de los instigadores de dicha búsqueda se enraíza en un inconsciente ideológico marcado por el positivismo verista propio de una fenomenología mal entendida como conexión inmediata de lo ideal y lo empírico, de Lorca como símbolo idealizado de España o la República y su cuerpo como “cosa” en la que urge salvarse. Mediante una estrategia de distanciamientos acumulados, este artículo trata de proporcionar argumentos contra la oportunidad de resucitar dicho inconsciente. Trata asimismo de defender la conveniencia de un retorno, incontaminado por lo que Husserl llamase “positividad ingenua”, a la escritura misma del poeta.
Historia textual de Trabajos del vicio (1680) en el contexto del mercado editorial madrileño del Barroco
Authors: Medina Poveda Diego
Published: January 2024

El artículo presenta la historia textual de la novela Trabajos del vicio (1680), la única obra profana escrita por Simón de Castelblanco (OSA). Desde la perspectiva que otorga la sociología literaria en conexión con la bibliografía material, se aborda la pertinencia de Trabajos del vicio dentro de la línea editorial del taller deLorenzo García y a la luz del mercado del libro madrileño de finales del Barroco. Asimismo, se analiza el remozado al que se sometió la novela en 1684, con el cambio de título a Traiciones de la hermosura; se estudian las intenciones, tanto del autor como del editor, en torno a la búsqueda de un dedicatario adecuado para la obra y se plantean hipótesis sobre las causas de su fracaso comercial.
Arde Madrid. Narrativa y Guerra Civil | Javier Sánchez Zapatero, Sevilla, Espuela de Plata, Col. "España en Armas", 2020, 519, pp.
Authors: Salazar Anglada Aníbal
Published: January 2024

Reseña: Arde Madrid. Narrativa y Guerra Civil | Javier Sánchez Zapatero, Sevilla, Espuela de Plata, Col. "España en Armas", 2020, 519, pp-