Miracle-dz/UniFAR-FTUs huggingface dataset:
Vestibular test results in patients with vestibular migraine and Meniere’s Disease

Abstract Background Vestibular migraine (VM) and Meniere’s Disease (MD) are episodic vestibular disorders, sometimes difficult to differentiate from each other on clinical grounds. Objective To evaluate vestibular test results of the two groups that may help in the differential diagnosis. Methods Twenty-two patients with VM, 21 patients with definite MD and 21 healthy volunteers (HC) were studied. Pure tone hearing thresholds (PTHT), cervical vestibular evoked myogenic potentials (cVEMPs), video head impulse test (vHIT) and functional head impulse test (fHIT) were performed. Results PTHT of the MD-affected ears were significantly higher than VM and HC groups (p < .001 for both) when cVEMP amplitudes were lower (p = .005 for HC), (p = .006 for VM). Lateral canal vHIT gain of the MD-affected ears were lower than VM patients (p = .003) and the HC (p < .001). The percentage of correctly identified optotypes (CA%) on fHIT was low for both patient groups when compared with the HC (p < .001). Conclusion In addition to hearing loss, low cVEMP amplitudes on the affected side with decreased gain on vHIT indicate disturbed saccular and lateral semicircular canal functions in MD patients differentiating them from VM. A functional deficit in gaze stabilization detected by fHIT is the only abnormality found in patients with VM.
Appendable memory system for artificial intelligence to acquire new knowledge after deployment

Artificial intelligence (AI) that accumulates and presents knowledge to users has the potential to become a vital ally of humanity. Such systems should continually accumulate knowledge while operating without the need for relearning new data inputs. This study developed an appendable memory system for AI to acquire new knowledge even after deployment. Certain dialogue agents can acquire new knowledge after deployment and have the capability to make conversations based on past interactions stored in their memory, referred to as long-term memory, where the information is stored in natural language. However, existing dialogue agents have insufficient memory capacity to continually accumulate and share knowledge with users. This is because long-term memory must be processed by dialogue agents, and consequently, the format of the memory is limited to the modality of natural language, making it impossible to achieve a high compression efficiency. To continue accumulating knowledge post deployment, dialogue agents need memory that can store any amount of information in a finite-sized medium. This study aims to construct an AI system that can generate such memories. However, we demonstrate that such systems cannot be realized by the current machine learning methods, i.e., by merely repeating the input and output learning sequences with AI. Instead, this study proposes a method for storing any amount of information within a single, modality-unrestricted finite-sized vector and retrieving information from it by utilizing a neural network resembling a recurrent neural network and an encoder–decoder network, referred to as memorizer–recaller hereinafter. The proposed system can generate external memory, which is updated dynamically when AI acquires new knowledge; this is called appendable memory. Although this study yielded only preliminary results, it differs from traditional neural network learning methods and provides fundamental approaches for building an AI system that can store any amount of information within finite-sized data and can freely utilize them in the future.
Particle filter based track-before-detect algorithm for weak targets

A recursive track-before-detect(TBD) algorithm based on particle filter,combined sequential probability ratio test and fixed sample size(SPRT-FSS) likelihood ratio test is presented according to the on-line detection and tracking of weak targets in low SNR environment.The particle filter is used to solve the nonlinear and non-Gaussian problem;SPRT can increase SNR to detect the existence of targets with the shortest delay through sequentially cumulating multi-frame measurements;The FSS likelihood ratio test is used to successively detect targets,and it can detect disappearing of targets in time by setting appropriate sample size.Simulation results show that the TBD algorithm has favorable performance of detecting and tracking.
Isolation,Characterization and Biological Activity of a Dihydroflavonol From Tamarix nilotica (Tamaricaceae) Leaves.

Abdel Karim, M. The authors report on the isolation,characterization and antimicrobial potency of a dihydroflavonol isolated from the leaves of Sudanese Tamarix nilotica. The isolate was purified by different chromatographic techniques and identified via a combination of spectral tools( IR, UV, HNMR and Mass spectroscopy). The isolated flavonoid , ethyl acetate and n-butanol fractions were evaluated(in vitro) for their antimicrobial potential against Gram negative (Escherichia coli, Salomonella typhi ) and Gram positive (Bacillus subtilis , Staphylococcus aureus) bacteria and the fungi :Candida albicans and Aspergillus niger and promising results were obtained.The isolated dihydroflavonol seems to be a suitable candidate for future optimization.
Research on Management Index System of Low-Carbon Community Open-space under Dual-Carbon Goal

This paper selects the theory of "carbon source, carbon sink and carbon neutralization" witch has high applicability in the "dual-carbon" target theory, to clarify the construction of low-carbon community open space under the "dual-carbon" target. Discuss the realization of low-carbon community open space under this theory, and build the target layer and secondary indicator layer of low-carbon open space construction management indicators based on this theory. Fifty representative indicators related to the open space in low-carbon communities are selected from the eight widely used evaluation index systems in the world. According to the implementation path of the "double carbon" goal of the open space in low-carbon communities, these indicators are divided into six categories: "energy utilization", "resource utilization", "transportation", "carbon pool", "carbon absorption" and "low-carbon community management and culture”. Take the six categories as framework, combined with current condition and research status in China, the relevant indicators of "carbon absorption" are supplemented, and a low-carbon community open space management index system including three first-class indicators, six secondary indicators and twenty-eight tertiary indicators is constructed.
Impact of Mt. Olympus Honeys on Virulence Factors Implicated in Pathogenesis Exerted by Pseudomonas aeruginosa

The aim of this study was to examine the impact of twenty honey samples, harvested in Mt. Olympus (Greece), on the virulence factors implicated in P. aeruginosa pathogenesis. Six key virulence factors (protease and elastase activity, pyocyanin and pyoverdine concentration, biofilm formation, and swimming motility) were selected in order to assess the effect of the tested honeys compared with Manuka honey. All tested honeys demonstrated a significant inhibition of protease and elastase activity compared with the control. Six and thirteen honeys exerted superior protease (no inhibition zone) and elastase (values lower than 55%) activity, respectively, compared with Manuka honey. Seventeen tested honeys exhibited reduced pyoverdine production compared with the control; all tested honeys, except for one, showed an inhibitory effect on pyocyanin production compared with the control. Regarding swimming motility, nine tested honeys demonstrated significantly higher inhibition compared with Manuka honey. Honey concentrations (6% v/v and 8% v/v) had the most profound impact, as they reduced biofilm formation to less than 20% compared with the control. Overall, our data demonstrate a significant inhibition of the virulence factors in the tested Mt. Olympus honeys, highlighting the strong antimicrobial activity against P. aeruginosa, an antibiotic-resistant pathogen of growing concern, which is implicated in severe nosocomial infections globally.
Research on the Synergistic Effect of the Composite System for High-Quality Development of the Marine Economy in China

The key to achieving the high-quality development of the marine economy (HDME) is to facilitate synergy through the coordination of marine elements. By adopting a perspective concerning complex systems, this paper presents a comprehensive framework—the composite system for high-quality development of the marine economy (CSHDME)—that synergistically integrates the five dimensions of “economy—technology—ecological—society—culture” in the marine domain. Building upon this framework, in this paper, we construct a CSHDME synergy evaluation index system using relevant data from 11 coastal provinces in China from 2010 to 2020. We utilize the subsystem orderliness degree model and composite system synergy degree model to calculate the degree of subsystem orderliness and degree of composite system synergy for the CSHDME as well as analyze the development status of the CSHDME subsystem and the degree of CSHDME synergy. The results indicate that: (1) the five-dimensional subsystem of the CSHDME exhibits an overall trend of year-on-year growth, with significant development disparities; (2) the degree of the synergy of the CSHDME is characterized by strong regional differences, strong fluctuations, instability, and low synergy; (3) the degree of the synergy of the CSHDME demonstrates the spatial evolution characteristics of low synergy, strong differences, strong fluctuations, and high agglomeration; and (4) the degree of orderliness and development speed of subsystems affect the degree of the synergy of the CSHDME. Therefore, measures such as the rational allocation of marine resources, accurate improvement of shortcomings, optimization of the spatial layout, and strengthening of regional cooperation should be considered to further promote the synergistic development of the CSHDME.
Piplartine-Inspired 3,4,5-Trimethoxycinnamates: Trypanocidal, Mechanism of Action, and In Silico Evaluation

Chagas disease (CD) is one of the main neglected tropical diseases that promote relevant socioeconomic impacts in several countries. The therapeutic options for the treatment of CD are limited, and parasite resistance has been reported. Piplartine is a phenylpropanoid imide that has diverse biological activities, including trypanocidal action. Thus, the objective of the present work was to prepare a collection of thirteen esters analogous to piplartine (1–13) and evaluate their trypanocidal activity against Trypanosoma cruzi. Of the tested analogues, compound 11 ((E)-furan-2-ylmethyl 3-(3,4,5-trimethoxyphenyl)acrylate) showed good activity with IC50 values = 28.21 ± 5.34 μM and 47.02 ± 8.70 μM, against the epimastigote and trypomastigote forms, respectively. In addition, it showed a high rate of selectivity to the parasite. The trypanocidal mechanism of action occurs through the induction of oxidative stress and mitochondrial damage. In addition, scanning electron microscopy showed the formation of pores and leakage of cytoplasmic content. Molecular docking indicated that 11 probably produces a trypanocidal effect through a multi-target mechanism, including affinity with proteins CRK1, MPK13, GSK3B, AKR, UCE-1, and UCE-2, which are important for the survival of the parasite. Therefore, the results suggest chemical characteristics that can serve for the development of new trypanocidal prototypes for researching drugs against Chagas disease.
The possibilities of disruption: Serendipity, accidents and impasse driven search

This article challenges the traditional view of progress as a linear trajectory from ignorance to knowledge, arguing that creative cognition involves an extended and dynamic system of non linear possibility generation. It emphasises the importance of an externalist approach which takes into account the role of objects in the environment in shaping cognition. Accidents are seen as a key trigger for creative thinking, as they disrupt planned cognitive trajectories and introduce novel elements into the cognitive ecosystem, leading to new possibilities that were previously inconceivable. However, how we filter these opportunities is rarely explored. The feeling of impasse, when problem-solvers are stuck and unable to find a solution, is also explored as an important generative state for creativity. While this state may be unpleasant, research suggests that persevering through it can lead to a sense of ‘aha’ and may be actively sought out by creatives. The article concludes that further research is needed to fully understand the relationship between aversive states, chance and human imagination in order to understand creative thinking.
Perceptions of Vowels and Consonants in Arabic and English: Implications for Translators and Dictionary Users

This paper investigates Arabic terms used as equivalents for English consonants and vowels. The Arabic terms, namely harf sakin (consonants) and harakat (vowels), are specifically tailored for the study of Arabic linguistic items. In bilingual dictionaries, Arabic terms do not truly reflect the linguistic realities represented by English vowels and consonants. The aim of the study is therefore to identify the linguistic realities that the Arabic terms represent within the Arabic linguistic environment. A sketch of contrastive analysis of vowels and consonants in English and Arabic helps in clarifying the linguistic meanings, which are absent from bilingual dictionaries. The findings of the study show that Arabic lexical equivalents are simply sense- indicators and thus not sufficient, as the totality of the conceptual meaning of the item is not provided in bilingual dictionaries. The study concludes by briefly discussing some of the study’s implications for translators and other dictionary users.
First-principles study on the half-metallic properties of the VA group atoms adsorbed on WS2 monolayer

Adsorption of atoms on the surface of two-dimensional (2D) materials is one of the most effective ways to induce magnetic properties. In this study, the atomic structure, electronic structure, magnetic properties, and strain effects of VA group atoms (N, P, As, Sb and Bi) adsorbed on a WS2 monolayer are systematically studied using a first-principles method. After calculating the adsorption energy, it was determined that all of the VA group atoms showed a preference for being directly adsorbed above the S atoms. Based on the analysis of the orbital projection density of states and charge transfer, it appears that the group VA atoms chemisorb onto the WS2 layer. The adsorption of the VA group atoms on a WS2 monolayer will introduce 1 μB magnetic moment into the system. It is exciting that WS2 monolayer adsorbed with P, As, Sb or Bi is half-metallic with 100% spin polarization at the Fermi level. Furthermore, the magnetic properties are robust in the range of 10% strain and the magnetic moment of the system can be effectively controlled by tensile strain. In addition, when two or four atoms are adsorbed on a monolayer WS2 supercell, the adatoms show a tendency towards alignment in terms of their local magnetic moments, which may indicate a potential for ferromagnetic ordering in the system. After the adsorption of VA group atoms, monolayer WS2 exhibits structural stability, tunable magnetism under strain, 100% spin polarizability, and potential for ferromagnetism, making it a promising material for spintronic device applications.
Overview of the Quality of Life of Chronic Rhinosinusitis Patients at the ENT Polyclinic in 2019-2021

Chronic rhinosinusitis is a medical condition that affects all ages and is most common worldwide. The prevalence of chronic rhinosinusitis has been shown to vary widely from country to country. The reason for this variation may be that sociodemographic factors influence it. The prevalence of chronic rhinosinusitis is estimated to range from 10.9% in Europe, 12.3% in the United States, and 13% in China. In a national survey in Korea, the overall prevalence of chronic rhinosinusitis was characterized by nasal obstruction and nasal discharge lasting more than three months. Chronic rhinosinusitis has been shown to impact physical and psychologically, which can be seen in the emotional well-being of sufferers. Chronic rhinosinusitis is said to be a multifactorial process without a single specific underlying etiologic process. Symptoms of chronic rhinosinusitis cause a significant reduction in the patient's quality of life that is similar to or worse than that of other chronic diseases. Chronic rhinosinusitis has also become a significant public health problem with a considerable socioeconomic burden. The purpose of this study was to describe the quality of life of chronic rhinosinusitis patients based on SNOT-22 at the UKI General Hospital. This research is a descriptive study with a cross-sectional approach. The sample in this study used the consecutive sampling method, where the population was chronic rhinosinusitis patients at the UKI General Hospital in 2019-2021. The results showed that the highest proportion according to gender was 17 patients (56.7%). The highest proportion according to age is the age group of 16-25 years, with eight patients (26.7%). Overall chronic rhinosinusitis patients have a poor quality of life, with the five highest average scores experienced are nasal congestion (3.2), dizziness (2.6), decreased productivity (1.97), decreased concentration (1.87), runny or runny nose (1.67). The data obtained show that chronic rhinosinusitis provides an overview of the quality of life-related to poor health in patients. Key words: Chronic Rhinosinusitis, Quality of Life, SNOT-22
The Bioactive Properties of Carotenoids from Lipophilic Sea buckthorn Extract (Hippophae rhamnoides L.) in Breast Cancer Cell Lines

In women, breast cancer is the most commonly diagnosed cancer (11.7% of total cases) and the leading cause of cancer death (6.9%) worldwide. Bioactive dietary components such as Sea buckthorn berries are known for their high carotenoid content, which has been shown to possess anti-cancer properties. Considering the limited number of studies investigating the bioactive properties of carotenoids in breast cancer, the aim of this study was to investigate the antiproliferative, antioxidant, and proapoptotic properties of saponified lipophilic Sea buckthorn berries extract (LSBE) in two breast cancer cell lines with different phenotypes: T47D (ER+, PR+, HER2−) and BT-549 (ER-, PR-, HER2−). The antiproliferative effects of LSBE were evaluated by an Alamar Blue assay, the extracellular antioxidant capacity was evaluated through DPPH, ABTS, and FRAP assays, the intracellular antioxidant capacity was evaluated through a DCFDA assay, and the apoptosis rate was assessed by flow cytometry. LSBE inhibited the proliferation of breast cancer cells in a concentration-dependent manner, with a mean IC50 of 16 µM. LSBE has proven to be a good antioxidant both at the intracellular level, due to its ability to significantly decrease the ROS levels in both cell lines (p = 0.0279 for T47D, and p = 0.0188 for BT-549), and at the extracellular level, where the ABTS and DPPH inhibition vried between 3.38–56.8%, respectively 5.68–68.65%, and 35.6 mg/L equivalent ascorbic acid/g LSBE were recorded. Based on the results from the antioxidant assays, LSBE was found to have good antioxidant activity due to its rich carotenoid content. The flow cytometry results revealed that LSBE treatment induced significant alterations in late-stage apoptotic cells represented by 80.29% of T47D cells (p = 0.0119), and 40.6% of BT-549 cells (p = 0.0137). Considering the antiproliferative, antioxidant, and proapoptotic properties of the carotenoids from LSBE on breast cancer cells, further studies should investigate whether these bioactive dietary compounds could be used as nutraceuticals in breast cancer therapy.
Exploring New Opportunities for Agritourism in the Post-COVID-19 Era

COVID-19 has exerted a tremendous impact on tourism and hospitality businesses. Agritourism is no exception, and the impacts have been both negative and positive concerning the activity of agricultural production. Online direct selling of farm products is a good example of a positive outcome and has contributed to the resilience of agritourism, compensating for the revenue drop from tourism activity. This aspect is unique to agritourism farms. Since COVID-19 stimulated new activity, it is necessary to nurture skills that take advantage of these emerging opportunities in the post-COVID-19 era. Further, we must explore innovative avenues, such as rural e-hospitality, preventive medical effects, and compatible entrepreneurship between those engaged in individual agritourism and community-based tourism. For this purpose, we need to accumulate empirical evidence on these preventive medical effects provided by agritourism in the future.
Transformational Development of Speed-Reading Technology: Tools, Machines and Software Applications

This conceptual paper aims to concentrate on the transformational development of tools, machines, and software applications used to increase the speed of reading. There has been a need for modernization of the old-fashioned machines in the field of speed reading. Several practical steps have already been taken in the last three decades of the twentieth century, and several outdated speed-reading tools and various equipment types have already been replaced by quite a few speed-reading software programs and mobile applications. The earliest speed-reading tools are reading pacing machines, which work on various simple to advanced technological principles. Different types of machines are also used for tracking the movements of eyes in the form of saccades and fixations during reading. Subsequently, several speed-increasing software tools use the powerful text processing technique called the Rapid Serial Visual Presentation (RSVP). Many of these tools have demonstrated significant productivity gains in the reading speed of learners. However, this transformational development has resulted in a multiplicity of speed-increasing function-specific software applications, there remains a need to choose the right combination of them, considering the diversity among learners and their goals. Though the distance covered in this journey of transformational development of tools, machines and software applications is quite encouraging, there is still room for improvements in terms of making the process of speed reading closer to natural reading.
The use of pre-conditioning over irregular regions

Some ideas and techniques for solving elliptic pde. ''s over irregular regions are discussed. The basic idea is to break up the domain into subdomains and then to use the pre-conditioned conjugate gradient method for obtaining the solution over the entire domain. The solution of Poisson''s equation over a $T$-shaped region is described in some detail and a numerical example is given.
Entanglement for excited states of ultracold bosonic atoms in one-dimensional harmonic traps with contact interaction

We have investigated quantum entanglement for two interacting ultracold bosonic atoms in one-dimensional harmonic traps. The effective potential is modeled by delta interaction. For this two-atom system, we have investigated quantum entanglement properties, such as von Neumann entropy and linear entropy for its ground state and excited states. Using a computational scheme that is different from previously employed, a total of the lowest 16 states are studied. Here we show the dependencies of entanglement properties under various interacting strengths. Comparisons for the ground state entanglement are made with earlier results in the literature. New results for the other 15 excited states are reported here.