Miracle-dz/UniFAR-FTUs huggingface dataset:
Neuromodulation in Pediatric Migraine using Repetitive Neuromuscular Magnetic Stimulation: A Feasibility Study

Migraine has a relevant impact on pediatric health. Non-pharmacological modalities for its management are urgently needed. This study assessed the safety, feasibility, acceptance, and efficacy of repetitive neuromuscular magnetic stimulation (rNMS) in pediatric migraine. A total of 13 patients with migraine, ≥6 headache days during baseline, and ≥1 myofascial trigger point in the upper trapezius muscles (UTM) received six rNMS sessions within 3 weeks. Headache frequency, intensity, and medication intake were monitored using headache calendars; headache-related impairment and quality of life were measured using PedMIDAS and KINDL questionnaires. Muscular involvement was assessed using pressure pain thresholds (PPT). Adherence yielded 100%. In 82% of all rNMS sessions, no side effects occurred. All participants would recommend rNMS and would repeat it. Headache frequency, medication intake, and PedMIDAS scores decreased from baseline to follow-up (FU), trending towards statistical significance (p = 0.089; p = 0.081, p = 0.055). A total of 7 patients were classified as responders, with a ≥25% relative reduction in headache frequency. PPT above the UTM significantly increased from pre- to post-assessment, which sustained until FU (p = 0.015 and 0.026, respectively). rNMS was safe, feasible, well-accepted, and beneficial on the muscular level. The potential to reduce headache-related symptoms together with PPT changes of the targeted UTM may underscore the interplay of peripheral and central mechanisms conceptualized within the trigemino-cervical complex.
Kinetics and Timescales in Bio–Nano Interactions

Engineered nanoparticles (NPs) have the potential to revolutionize disease diagnostics and treatment. However, NP interactions with proteins in biological fluids complicate their in vivo control. These interactions often lead to the formation of protein coronas around the NP surface, shaping NP fate and behavior within biological systems. To harness the full potential of NPs in biomedical applications, it is therefore essential to gain a comprehensive understanding of their interactions with proteins. Within this context, it must be recognized that traditional equilibrium-based descriptions of NP–protein interactions, which encompass parameters like equilibrium binding affinity and corona composition, do not provide sufficient detail to predict NP behavior in vivo. This limitation arises because the open in vivo system is a nonequilibrium state characterized by constantly changing concentrations and dynamic regulation of biological processes. In light of these considerations, this review explores the kinetics and timescales of NP–protein interactions, discussing their relevance, fundamental concepts, measurement techniques, typical ranges of association and dissociation rate constants, and dynamics of protein corona formation and dissociation. The review concludes by outlining potential areas for further research and development in this field.
Characteristics of Dyeing Cotton Thread Using Fine Particle Powder from Tectona Grandis Leaf

In Lombok, the traditional process of dyeing woven fabrics primarily involves the use of synthetic dyes, which can contribute to environmental pollution. This study aimed to identify the characteristics of woven yarn and assess the effect of dye solution pH on yarn properties when using teak leaves (Tectona grandis) to produce dye powder through a mechanical thermal method. The thread coloring process comprised mordanting, coloring, and fixation stages, with the assistance of Android applications for color analysis and a Universal Tensile Machine Type RTG-1310 to assess mechanical properties. The results revealed that dyeing yarn with anthocyanin powder from teak leaves yielded a range of colors, including shades of gray, brown, and red. The highest tensile strength observed was 2,664 cN/dtex, and the solution's pH significantly influenced the dominant color, with red being prominent. Notably, optimal tensile strength (1,649 cN/dtex) was achieved at pH six. These findings highlight the potential for producing high-quality cotton threads using different dyeing processes and techniques. The study's insights contribute to both environmental protection and thread quality enhancement in the textile industry
miRNAs in the Box: Potential Diagnostic Role for Extracellular Vesicle-Packaged miRNA-27a and miRNA-128 in Breast Cancer

Circulating extracellular vesicle (EV)-derived microRNAs (miRNAs) are now considered the next generation of cancer “theranostic” tools, with strong clinical relevance. Although their potential in breast cancer diagnosis has been widely reported, further studies are still required to address this challenging issue. The present study examined the expression profiles of EV-packaged miRNAs to identify novel miRNA signatures in breast cancer and verified their diagnostic accuracy. Circulating EVs were isolated from healthy controls and breast cancer patients and characterized following the MISEV 2018 guidelines. RNA-sequencing and real-time PCR showed that miRNA-27a and miRNA-128 were significantly down-regulated in patient-derived EVs compared to controls in screening and validation cohorts. Bioinformatics analyses of miRNA-target genes indicated several enriched biological processes/pathways related to breast cancer. Receiver operating characteristic (ROC) curves highlighted the ability of these EV-miRNAs to distinguish breast cancer patients from non-cancer controls. According to other reports, the levels of EV-miRNA-27a and EV-miRNA-128 are not associated with their circulating ones. Finally, evidence from the studies included in our systematic review underscores how the expression of these miRNAs in biofluids is still underinvestigated. Our findings unraveled the role of serum EV-derived miRNA-27a and miRNA-128 in breast cancer, encouraging further investigation of these two miRNAs within EVs towards improved breast cancer detection.
Integrated teaching in primary schools: A systematic review of current practices, barriers, and future developments

Recent years have seen a rise in the use of integrated teaching in many nations across the globe due to the vital role it plays in the delivery of primary education programs that focus on the growth of students’ abilities. However, a comprehensive review of integrated classroom practices in elementary schools has yet to be conducted, making it difficult for interested readers to make education decisions about entering the sector or for established experts to keep up with the latest developments. To fill this gap, we performed a meta-analysis using the PRISMA procedure and a comprehensive literature search. Following the PRISMA guidelines, the study analyzed 24 publications on integrated teaching in primary school that appeared in Scopus and Google Scholar between 2014 and 2022. The study used text analysis and synthesis to highlight active nations, extracted keywords, drawing obstacles and challenges, and future research opportunities. The result reported 13 types of obstacles and challenges that need to be overcome in the long run. As such, five research directions were compiled based on prior publications, namely as teachers’ training program, integrated teaching materials, integrated teaching models, school policies and other interventions, and others. Interested readers, prospective researchers and policymakers could benefit from these findings by tackling existing issues or investigating recommended research directions.
Three-dimensional seismic structure beneath Shillong Plateau and Assam Valley, Northeast India

Northeast India is bounded by the Himalayan arc to the north and the Burmese arc to the east. The Shillong Plateau and Assam Valley lie at the boundary zone of the two arcs. Three microearthquake surveys were conducted in this area from 1984 to 1986. We have applied a tomographic method to about 2800 high-quality P- and S-wave arrival times from 364 local earthquakes that were recorded in the magnitude range 2.0 to 4.0 by 22 temporary seismic stations during the surveys to determine the 3D velocity structure of the crust and upper mantle in this region. The result reveals significant lateral heterogeneities in the study area. The tomographic images obtained in this study are compatible with the major tectonic features such as active faults and seismicity trends.
Developing a Perception of a Place as Home among Children in an Isolated Desert Town

Abstract:This study focuses on the perception of a “place” as “home” and on place attachment among children. The aim was to understand how these perceptions contribute to the development of environmental citizenship. The research was conducted in an isolated desert town, following an intervention program aimed at encouraging deeper attachment to a locale. The results led us to define categories of children's perceptions that each represents a different connection to the environment. A comparison of children's attachment to their locale before and after the intervention suggests a strengthening of “place attachment” and an increased sense of empowerment with regard to their ability to improve their surroundings.
Population Characteristics of Smallmouth Bass in Glover Creek, Southeast Oklahoma

Smallmouth bass (Micropterus dolomieui) were collected from Glover Creek in 1977-79 to document growth patterns, age and length structure, and relative condition. Maximum age was 6 years, although the majority of fish were less than 3 years old. Annual survival of adults (age 2 and older) was estimated as 39% with 95% confidence limits from 32 to 47%. Proportional stock density was 19%. Growth was relatively slow compared to that of other stream populations. Relative weight was less than 100 for all age groups except age 0. Seasonal patterns in growth and condition indicated that growth slowed during late summer.
Meta-Analysis of Assessment of Total Oxidative Stress and Total Antioxidant Capacity in Patients with Periodontitis

Background Periodontitis is intricately linked to oxidative stress-antioxidant (redox) imbalance. The antioxidant system scavenges the oxygen free radicals in biological fluids in patients with periodontitis. However, little is still known about the free radicals mediated oxidative stress and reductive ability of the antioxidant system. Thus, the present meta-analysis aims to quantitatively review the literature that assessed the oxidative stress marker total oxidative stress (TOS) and total antioxidant capacity (TAC) in various biological fluids of patients with periodontitis. Methodology. Electronic databases were searched for studies that assessed TOS and TAC levels in various biological samples of patients with periodontitis. Results From the 1,812 articles identified, 1,754 were excluded based on title and abstract screening due to irrelevance to the topic of interest. A full-text assessment of the remaining 58 articles led to the selection of 42 articles that satisfied the inclusion criteria. Of these, only 24 studies had consistent data for quantitative analysis. The periodontitis group displayed significantly elevated TOS levels (p < 0.05) in serum, gingival crevicular fluid (GCF), and saliva samples in the studies evaluated. In contrast, the periodontitis group exhibited significantly attenuated TAC levels (p < 0.01) compared to healthy controls in plasma, serum, and GCF samples of the studies evaluated, which was insignificant in salivary samples (p=0.433). At the same time, the periodontitis group displayed insignificantly elevated TAC levels after periodontal therapy (p=0.130). Conclusions The present meta-analysis showed significantly higher TOS and lower TAC in periodontitis, reflecting the elevated oxidative stress level than the control group. Clinical Relevance. Scientific rationale for the study: The imbalance between oxidants and antioxidants (oxidative stress (OS)) plays a critical role in the onset and progression of periodontitis; the assessment of the relationship between OS-related biomarkers in regional samples and systemic samples of patients with periodontitis helps us to evaluate the periodontal disease progression. The OS biomarker levels can be used to assess periodontal disease and therapeutic efficacy.
A Comprehensive Review of the Current Status of the Cellular Neurobiology of Psychedelics

Simple Summary Understanding the cellular neurobiology of psychedelics is crucial for unlocking their therapeutic potential and expanding our understanding of consciousness. This review provides a comprehensive overview of the current state of the cellular neurobiology of psychedelics, shedding light on the intricate mechanisms through which these compounds exert their profound effects. Given the significant global burden of mental illness and the limited efficacy of existing therapies, the renewed interest in these substances, as well as the discovery of new compounds, may represent a transformative development in the field of biomedical sciences and mental health therapies. Abstract Psychedelic substances have gained significant attention in recent years for their potential therapeutic effects on various psychiatric disorders. This review delves into the intricate cellular neurobiology of psychedelics, emphasizing their potential therapeutic applications in addressing the global burden of mental illness. It focuses on contemporary research into the pharmacological and molecular mechanisms underlying these substances, particularly the role of 5-HT2A receptor signaling and the promotion of plasticity through the TrkB-BDNF pathway. The review also discusses how psychedelics affect various receptors and pathways and explores their potential as anti-inflammatory agents. Overall, this research represents a significant development in biomedical sciences with the potential to transform mental health treatments.
Electron Dynamics and Whistler‐Mode Waves Inside the Short Large‐Amplitude Magnetic Field Structures

We investigate the electron dynamics and generation of whistler‐mode waves inside a short large‐amplitude magnetic structure (SLAMS) based on Magnetospheric Multiscale Satellite observations and test particle simulations. The buildup of energetic reflected ions caused by the SLAMS's intense magnetic fields favors the resonance condition of solar wind ions of ion‐ion non‐resonant mode. This might further steepen the SLAMS, leading to the Betatron acceleration of electrons and generating the whistler‐mode waves locally ahead of the peak of the magnetic field. In regions behind the peaked magnetic field, electrons are decelerated by the convection electric field during gradient drift and the whistler‐mode waves are rapidly decayed. Our study provides new insights into electron acceleration and the generation of whistler‐mode waves near the quasi‐parallel shock.
Structure et dynamique d’une population d’Agama impalearis (Sauria : Agamidae) dans les Jbilets centrales, Maroc

Une population d'Agama impalearis a ete etudiee durant deux annees consecutives (1993 et 1994) en milieu aride au niveau d'une steppe a jujubier localisee dans les Jbilets Centrales, Maroc occidental. La maturite sexuelle chez les individus des deux sexes est atteinte approximativement a l'âge d'un an. Une a deux pontes sont produites par saison de reproduction entre mai et aout et le nombre d'œufs par ponte augmente de facon significative avec la taille corporelle des femelles. Le taux de fecondite qui est en moyenne de 20 oeufs par femelle et par an ne differe pas de facon significative d'une annee a l'autre. La densite de la population a montre d'importantes fluctuations saisonnieres au cours de la periode d'etude et les densites absolues en mai etaient de 15 et 11 ind/ha, respectivement en 1993 et 1994. Au mois de septembre, juste apres la saison de reproduction, cette densite chute a 4-5 ind/ha (nouveau-nes exclus). Au terme de la periode des eclosions (juillet a debut novembre), les densites des nouveau-nes etaient de Il et 13 ind/ha, respectivement en 1993 et 1994, compensant ainsi la disparition des adultes. Le taux de renouvellement annuel de la population, 77 %, est eleve et reste constant d'une annee a l'autre. Le taux de survie des adultes apres la saison de reproduction varic d'une annee a l'autre et celui des juveniles durant leur premiere annee d'existence est estime en moyenne a 35 %. La longevite minimale observee, determinee au moyen de la squelettochronologie, est de 5 annees.
Deep Kalman Filters Can Filter

Deep Kalman filters (DKFs) are a class of neural network models that generate Gaussian probability measures from sequential data. Though DKFs are inspired by the Kalman filter, they lack concrete theoretical ties to the stochastic filtering problem, thus limiting their applicability to areas where traditional model-based filters have been used, e.g.\ model calibration for bond and option prices in mathematical finance. We address this issue in the mathematical foundations of deep learning by exhibiting a class of continuous-time DKFs which can approximately implement the conditional law of a broad class of non-Markovian and conditionally Gaussian signal processes given noisy continuous-times measurements. Our approximation results hold uniformly over sufficiently regular compact subsets of paths, where the approximation error is quantified by the worst-case 2-Wasserstein distance computed uniformly over the given compact set of paths.
A Linearized Semiclassical Dynamics Study of the Multiquantum Vibrational Relaxation of NO Scattering from a Au(111) Surface.

The vibrational relaxation of NO molecules scattering from a Au(111) surface has served as the focus of efforts to understand nonadiabatic energy transfer at metal-molecule interfaces. Experimental measurements and previous theoretical efforts suggest that multiquantal NO vibrational energy relaxation occurs via electron-hole pair excitations in the metal. Here, using a linearized semiclassical approach, we accurately predict the vibrational relaxation of NO from the νi = 3 state for different incident translational energies. We also accurately capture the central role of transient electron transfer from the metal to the molecule in mediating the vibrational relaxation process but fall short of quantitatively predicting the full extent of multiquantum relaxation for high incident vibrational excitations (νi = 16).
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends

Environmental effects may lead to cracking, stiffness loss, brace damage, and other damages in bridges, frame structures, buildings, etc. Structural Health Monitoring (SHM) technology could prevent catastrophic events by detecting damage early. In recent years, Deep Learning (DL) has developed rapidly and has been applied to SHM to detect, localize, and evaluate diverse damages through efficient feature extraction. This paper analyzes 337 articles through a systematic literature review to investigate the application of DL for SHM in the operation and maintenance phase of facilities from three perspectives: data, DL algorithms, and applications. Firstly, the data types in SHM and the corresponding collection methods are summarized and analyzed. The most common data types are vibration signals and images, accounting for 80% of the literature studied. Secondly, the popular DL algorithm types and application areas are reviewed, of which CNN accounts for 60%. Then, this article carefully analyzes the specific functions of DL application for SHM based on the facility’s characteristics. The most scrutinized study focused on cracks, accounting for 30 percent of research papers. Finally, challenges and trends in applying DL for SHM are discussed. Among the trends, the Structural Health Monitoring Digital Twin (SHMDT) model framework is suggested in response to the trend of strong coupling between SHM technology and Digital Twin (DT), which can advance the digitalization, visualization, and intelligent management of SHM.
Ecology of streams contaminated by acid mine drainage, near Reefton, South Island

Chapter One: Introduction 1 'Chapter Two: Study Area 6 Background 6 Study sites 12 Chapter Three: Physico-chemical conditions and Epilithon 20 Introduction 20 Methods: Physical measurements 21 Chemical measurements 22 Epilithon 23 Statistical Analysis 24 Results: Physical conditions 24 Chemical conditions: 26 Surface stream waters 26 Hyporheic stream waters 34 Relationships between measured physico-chemical 39 variables Epilithon 43 Summary 45 Chapter Four: Invertebrate Fauna 50 Introduction 50 Methods: Benthic faunal sampling 52 Hyporheic faunal sampling 52 Lab tolerance experiments 53 Statistical Analysis 54 Results: Surface fauna 56 Hyporheic fauna 68
Economic Growth and Subjective Well-Being: Reassessing the Easterlin Paradox

The “Easterlin paradox” suggests that there is no link between a society’s economic development and its average level of happiness. We reassess this paradox, analyzing multiple rich datasets spanning many decades. Using recent data on a broader array of countries, we establish a clear positive link between average levels of subjective well-being and GDP per capita across countries, and find no evidence of a satiation point beyond which wealthier countries have no further increases in subjective well-being. We show that the estimated relationship is consistent across many datasets and is similar to that between subjective well-being and income observed within countries. Finally, examining the relationship between changes in subjective well-being and income over time within countries, we find economic growth associated with rising happiness. Together these findings indicate a clear role for absolute income and a more limited role for relative income comparisons in determining happiness.
The Effect of Different Leadership Styles on Job Satisfaction

Leadership styles are a significant factor in achieving job satisfaction and directing it to achieve organizational goals. Every manager should consider employees as the organization's most critical asset to provide welfare and increase job satisfaction. Leadership styles are designed to improve job satisfaction. Data for this study were collected using a questionnaire forum developed for this purpose and distributed across the sample. We obtained a response rate of approximately 252 responses through simple random sampling. The data was entered and analyzed using correlation and regression models with the assistance of SPSS version 25, a statistical program. The findings indicated that all styles (democratic – autocratic – laissez-faire) of leadership styles significantly impact employees' job satisfaction. However, if it is the democratic leadership style that employees prefer and the positive impact on job satisfaction, which is the best one that shows higher job satisfaction? In contrast, autocratic and laissez-faire leadership styles are not accepted and harm the employees, resulting in lower job satisfaction.