Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Tongue Acupuncture and Traditional Acupuncture in the Treatment of Poststroke Dysarthria: A Meta-Analysis and Tongue Acupuncture System Classification Evaluation

Objective To discuss whether tongue acupuncture is more effective than traditional acupuncture in the treatment of poststroke dysarthria and explore the advantage of tongue acupuncture treatment parameters. Methods We evaluated the efficacy of tongue acupuncture compared with traditional acupuncture through a rigorous meta-analysis process. The included studies were from eight databases in English and Chinese. The Cochrane risk of bias assessment tool was used to evaluate the quality of studies. Stata15.1 software was used for meta-analysis and sensitivity analysis. Tongue acupuncture therapeutic parameters were classified and counted based on tongue acupoint location, acupuncture manipulation, and the number of manipulations. Subgroup analysis was used to compare the differences between various treatment parameters. Outcome The meta-analysis eventually included a total of 9 studies. Tongue acupuncture is superior to traditional acupuncture in clinical efficacy [OR = 3.62, 95%Cl (2.24, 5.85), P < 0.0001], FDA score [SMD = −1.99, 95%Cl (−3.77, −0.21), P=0.028], and NIHSS score [WMD = 0.86, 95%Cl (0.15, 1.57), P=0.017, I2 = 31.7%] in the treatment of poststroke dysarthria. According to the classified statistics of tongue acupuncture treatment parameters, there are three kinds of tongue acupuncture points in 9 studies: lingual surface, sublingual, and both lingual surface and sublingual acupoints. The operation methods include the oblique stabbing of the root of the tongue, twisting after stabbing, and acupoint pricking. The number of operation methods varies from 1 to 3. Conclusion Tongue acupuncture outperforms traditional acupuncture in terms of clinical efficacy, FDA score, and NIHSS score in the treatment of poststroke dysarthria. The curative effect of sublingual acupoints is better than that of lingual surface acupoints, the combined use of multiple manipulations is better than that of a single manipulation, and acupuncture manipulation has a cumulative effect. PROSPERO registration number: CRD42021285722.
Perspectives of TFD on String Theory

Considering the type IIB superstring in a pp wave background some recent ideas and perspectives of Thermo Field Dynamics on string theory are presented. The thermal Fock space is constructed attempting to consider a possible finite temperature version of the BMN correspondence in this framework. Also, the thermal vacuum is identified as a string boundary state realizing the thermal torus interpretation in the ambit of Thermo Field Dynamics. Such a interpretation consists of a generalization of some recent analysis for the closed bosonic string.
FtbZIP12 Positively Regulates Responses to Osmotic Stress in Tartary Buckwheat

ABFs play a key role in regulating plant osmotic stress. However, in Tartary buckwheat, data on the role of ABF genes in osmotic stress remain limited and its associated mechanism in osmoregulation remain nebulous. Herein, a novel ABF family in Tartary buckwheat, FtbZIP12, was cloned and characterized. FtbZIP12 is a transcriptional activator located in the nucleus; its expression is induced by NaCl, mannitol, and abscisic acid (ABA). Atopic expression of FtbZIP12 in Arabidopsis promoted seed germination, reduced damage to primary roots, and improved the tolerance of seedlings to osmotic stress. The quantitative realtime polymerase chain reaction (RT-qPCR) results showed that the expressions of the typical genes related to stress, the SOS pathway, and the proline synthesis pathway in Arabidopsis were significantly (p < 0.05) upregulated under osmotic stress. FtbZIP12 improved the osmotic pressure resistance by reducing the damage caused by reactive oxygen species to plants and maintained plant homeostasis by upregulating the expression of genes related to stress, osmotic regulation, and ion homeostasis. This study identified a key candidate gene for understanding the mechanism underlying osmotic-stress-regulated function in Tartary buckwheat, thereby providing a theoretical basis for improving its yield and quality.
Innovative IntraValvular Impedance Sensing Applied to Biological Heart Valve Prostheses: Design and In Vitro Evaluation

Subclinical valve thrombosis in heart valve prostheses is characterized by the progressive reduction in leaflet motion detectable with advanced imaging diagnostics. However, without routine imaging surveillance, this subclinical thrombosis may be underdiagnosed. We recently proposed the novel concept of a sensorized heart valve prosthesis based on electrical impedance measurement (IntraValvular Impedance, IVI) using miniaturized electrodes embedded in the valve structure to generate a local electric field that is altered by the cyclic movement of the leaflets. In this study, we investigated the feasibility of the novel IVI-sensing concept applied to biological heart valves (BHVs). Three proof-of-concept prototypes of sensorized BHVs were assembled with different size, geometry and positioning of the electrodes to identify the optimal IVI-measurement configuration. Each prototype was tested in vitro on a hydrodynamic heart valve assessment platform. IVI signal was closely related to the electrodes’ positioning in the valve structure and showed greater sensitivity in the prototype with small electrodes embedded in the valve commissures. The novel concept of IVI sensing is feasible on BHVs and has great potential for monitoring the valve condition after implant, allowing for early detection of subclinical valve thrombosis and timely selection of an appropriate anticoagulation therapy.
Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls

It is thought that accurate risk assessment and early diagnosis of breast cancer (BC) can help reduce cancer-related mortality. Proteomics analysis of breast milk may provide biomarkers of risk and occult disease. Our group works on the analysis of human milk samples from women with BC and controls to investigate alterations in protein patterns of milk that could be related to BC. In the current study, we used mass spectrometry (MS)-based proteomics analysis of 12 milk samples from donors with BC and matched controls. Specifically, we used one-dimensional (1D)-polyacrylamide gel electrophoresis (PAGE) coupled with nanoliquid chromatography tandem MS (nanoLC-MS/MS), followed by bioinformatics analysis. We confirmed the dysregulation of several proteins identified previously in a different set of milk samples. We also identified additional dysregulations in milk proteins shown to play a role in cancer development, such as Lactadherin isoform A, O-linked N-acetylglucosamine (GlcNAc) transferase, galactosyltransferase, recoverin, perilipin-3 isoform 1, histone-lysine methyltransferase, or clathrin heavy chain. Our results expand our current understanding of using milk as a biological fluid for identification of BC-related dysregulated proteins. Overall, our results also indicate that milk has the potential to be used for BC biomarker discovery, early detection and risk assessment in young, reproductively active women.
A Strategy for Magnetic and Electric Stimulation to Enhance Proliferation and Differentiation of NPCs Seeded over PLA Electrospun Membranes

Neural progenitor cells (NPCs) have been shown to serve as an efficient therapeutic strategy in different cell therapy approaches, including spinal cord injury treatment. Despite the reported beneficial effects of NPC transplantation, the low survival and differentiation rates constrain important limitations. Herein, a new methodology has been developed to overcome both limitations by applying a combination of wireless electrical and magnetic stimulation to NPCs seeded on aligned poly(lactic acid) nanofibrous scaffolds for in vitro cell conditioning prior transplantation. Two stimulation patterns were tested and compared, continuous (long stimulus applied once a day) and intermittent (short stimulus applied three times a day). The results show that applied continuous stimulation promotes NPC proliferation and preferential differentiation into oligodendrocytic and neuronal lineages. A neural-like phenotypic induction was observed when compared to unstimulated NPCs. In contrast, intermittent stimulation patterns did not affect NPC proliferation and differentiation to oligodendrocytes or astrocytes morphology with a detrimental effect on neuronal differentiation. This study provides a new approach of using a combination of electric and magnetic stimulation to induce proliferation and further neuronal differentiation, which would improve therapy outcomes in disorders such as spinal cord injury.
Live and Heat-Killed Probiotic Lactobacillus paracasei PS23 Accelerated the Improvement and Recovery of Strength and Damage Biomarkers after Exercise-Induced Muscle Damage

Excessive, high-intensity or inappropriate exercise may cause muscle damage. How to speed up recovery and reduce exercise discomfort are currently very important issues for athletes and sports people. Past research has shown that probiotics can improve inflammation and oxidative stress, as well as improve exercise performance and antifatigue. However, further research is needed to confirm the recovery benefits for muscle damage. In this double-blind design study, all subjects were randomly assigned to placebo, a live Lactobacillus paracasei group (L-PS23, 2 × 1010 colony forming unit (CFU)/day), or a heat-killed L. paracasei group (HK-PS23, 2 × 1010 cells/day), and supplemented for six consecutive weeks. Afterwards, subjects completed 100 maximal vertical jumps to bring about exercise-induced muscle damage (EIMD). Countermovement jump (CMJ), isometric mid-thigh pull (IMTP), and Wingate anaerobic test (WAnT), as well as blood tests for markers of muscle damage and inflammation were made pre-exercise and 3, 24, 48 h post exercise. The results show that both L-PS23 and HK-PS23 supplementation significantly slowed the loss of muscle strength after muscle injury, and they significantly reduced the production of markers of muscle damage and inflammation (p < 0.05). In addition, L-PS23 and HK-PS23 had the benefits of accelerating the recovery and improvement of muscle strength, the blood markers of muscle injury and inflammation, and slowing the decline in testosterone concentrations (p < 0.05). Especially in the HK-PS23 supplemented group, there was a better trend. In conclusion, we found that L-PS23 or HK-PS23 supplementation for six weeks prevented strength loss after muscle damage and improved blood muscle damage and inflammatory markers, with protective, accelerated recovery and anti-fatigue benefits.
Postural balance, muscle strength and functional capacity on the severity level of chronic obstructive pulmonary disease

Background: Chronic obstructive pulmonary disease (COPD) is characterized by persistent and progressive airflow obstruction. It is a lung disease with systemic manifestations, which contributes to an increase in morbidity and mortality in the elderly. The greater the severity of the disease, more muscle loss occurs, especially the quadriceps muscle, leading to decreased resistance to exercise, increased fatigue, and dyspnea to small efforts. The presence of COPD is associated with an increased risk of falls, and patients with COPD have a greater imbalance when compared with subjects of the same age without the disease. To investigate whether the different degrees of severity of COPD interfere in the balance, muscle strength, and functional capacity of the patients. Methods: 25 individuals diagnosed with COPD (COPD-G) and 32 individuals without pulmonary disease (CG - Control Group) were assessed. Both groups were submitted to anamnesis, spirometry, dynamometry, manovacuometry, Incremental Shuttle WaIking Test (ISWT), load testing for one repetition maximum (1RM), balance platform assessment, Stair-Climbing Test (SCT) and 6 Minutes Walk Test (6MWT). The variables obtained were compared using the t-test. For comparison between groups, a one-way ANOVA was used. Results: The comparison between the two groups showed a difference in the result of the ISWT, 6MWT and SCT. When compared between groups in different degrees of severity, there was a difference only in SCT between CG and severe COPD-G. There was no significant difference in strength and postural balance. Conclusion: Cardiorespiratory functional capacity is impaired in individuals with COPD and is more evident in the severe stage of the disease. The balance, the strength of the respiratory muscles, upper and lower limbs are similar in the mild, moderate, and severe stages.
The Analysis of Coconut Market Value Chain

Purpose – This paper seeks to examine how the coconut market value chain is managed in order to develop agricultural economic performance in Indragiri Hilir, Riau Province. Methodology/approach – The method used in this paper is descriptive qualitative research and literature review. The data is collected from secondary sources that is credible related to the topic. The focus of this research is to find various legal theories, propositions, principles, or ideas that are used to analyse and solve the formulated research questions. Findings – From the data collected, it is found that the coconut market value chain in Indragiri Hilir run quite well. Although there are some problems faced by the coconut farmers, both coconut farmers and Local Government have tried their best to develop coconut exporting activity and to minimize the constraints in coconut market in Indragiri Hilir.
Quantum theory of microworld and the reality

The discoveries in the end of the 19 th century and in the beginning of the 20 th century have paved the way for the physical science of the new era. It was shown that the hitherto basic stones (atoms) of the matter world were not quite stable and did not represent the smallest matter objects. And especially, that the energy of the light was not transmitted continuously but in small quanta. The mathematical model of orthodox quantum mechanics was accepted by the physical community as the only theory of microworld, even if it involved a series of strange (paradoxical) characteristics. It is possible to say that the things started to change in the end of the 20 th century. More attention has been devoted to the problem of time reversibility and to the question whether it is not possible for the microworld to exhibit irreversible evolution similar to that of macroscopic world. To understand better these physical problems and the contemporary theoretical attempts it is necessary to follow at least shortly the most important points of the whole physical story since the end of the 19 th century. It will be shown that one of the basic quantum-mechanical assumptions (physical interpretation of the general mathematical superposition principle) has been introduced without any actual reason and experimental tests; some misleading arguments having been used, in addition to. The diﬀerence between microscopic and macroscopic worlds diminishes signiﬁcantly if the quantum-physical model starts fully from time-dependent Schr¨odinger equation and the general superposition principle linking states with diﬀerent physical properties is abandoned; divers physical meanings of diﬀerent initial conditions of individual solutions being fully respected. Such a model (including suitably extended Hilbert space) may be regarded as a generalization (or even as a mere quantum adaptation) of the classical approach. The physical systems with both ﬁxed and changing numbers of objects may be now described in the framework of one common mathematical model.
Registered Nurses’ Views and Experiences of Delivering Care in War and Conflict Areas: A Systematic Review

Background: Several studies have been undertaken regarding civilian and military nurses’ training, deployment, and experiences during missions in war and conflict areas. However, no review study regarding the experiences of nurses in serving in war and conflict areas has been published. Aim: This review aims to identify the views, experiences, and support needs of Registered Nurses when caring for patients in war and conflict areas. Method: Four electronic databases—MEDLINE, CINAHL, PsycINFO, and general BC PubMed—were searched in this systematic review. Study screening and selection, data extraction, quality appraisal, and narrative synthesis were conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist. Results: Twenty-five studies were included in the final review. The findings were categorised based on four main themes: Challenges in nursing practice, Meaning of experience, Scope of practice, and Nursing support pre- and post-conflict. Conclusions: Registered Nurses play a critical role in prehospital care and have a significant impact on the survival of wounded military personnel and civilians and on their mortality. Registered Nurses play important roles in military deployment, with barriers to their successful implementation experienced due to a lack of information at the decision-making level, and the need for psychological supports and role-appropriate medical readiness training. Implications: Registered Nurses who are military-ready need to be effective in war and conflict areas. Using the experiences of military or civilian Registered Nurses to assess the pre-deployment preparation needs of these nurses will be beneficial to the effectiveness of the nursing workforce. There are elements that demand more attention during the pre-deployment preparation phase of nurses required to serve in war and conflict areas.
Impacts of radiative accelerations on solar-like oscillating main-sequence stars

Context. Chemical element transport processes are among the crucial physical processes needed for precise stellar modelling. Atomic diffusion by gravitational settling is usually taken into account, and is essential for helioseismic studies. On the other hand, radiative accelerations are rarely accounted for, act differently on the various chemical elements, and can strongly counteract gravity in some stellar mass domains. The resulting variations in the abundance profiles may significantly affect the structure of the star. Aims. The aim of this study is to determine whether radiative accelerations impact the structure of solar-like oscillating main-sequence stars observed by asteroseismic space missions. Methods. We implemented the calculation of radiative accelerations operating on C, N, O, Ne, Na, Mg, Al, Si, S, Ca, and Fe in the CESTAM code using the single-valued parameter method. We built and compared several grids of stellar models including gravitational settling, some with and others without radiative accelerations. We considered masses in the range [0.9, 1.5] M⊙ and three values of the metallicity around the solar value. For each metallicity we determined the mass range where differences between models due to radiative accelerations exceed the uncertainties of global seismic parameters of the Kepler Legacy sample or expected for PLATO observations. Results. We found that radiative accelerations may not be neglected for stellar masses higher than 1.1 M⊙ at solar metallicity. The difference in age due to their inclusion in models can reach 9% for the more massive stars of our grids. We estimated that the percentage of the PLATO core program stars whose modelling would require radiative accelerations ranges between 33% and 58% depending on the precision of the seismic data. Conclusions. We conclude that in the context of Kepler, TESS, and PLATO missions which provide (or will provide) high-quality seismic data, radiative accelerations can have a significant effect when properly inferring the properties of solar-like oscillators. This is particularly important for age inferences. However, the net effect for each individual star results from the competition between atomic diffusion including radiative accelerations and other internal transport processes. Rotationally induced transport processes for instance are believed to reduce the effects of atomic diffusion. This will be investigated in a forthcoming companion paper.
PENERAPAN EVENT-DRIVEN MICROSERVICES PADA APLIKASI LAYANAN PENERIMAAN PESERTA DIDIK BARU

The number of studies conducted and the application of new student admissions produced has helped the PPDB process at the educational institution that is the object of research, but the application is not necessarily able to run well when faced with different cases and the application will become irrelevant if used at other levels that do not require majors. The existence of a service that can facilitate the PPDB process at all levels of education will make it easier for educational institutions that do not have online registration facilities to implement the PPDB program without the need to think about the time-consuming and costly application development process, they simply register on the PPDB Service Application and can open online registration. at that very moment. However, in order to facilitate these different business processes, complex logic is needed, which will result in a large codebase. We need Docker technology to simplify software packaging according to needs and put it in an isolated container called a docker container, so it is suitable to be applied to microservices architecture. Microservices that implement event-driven will allow the exchange of data between services through Redis Stream as a message broker, where a service that wants to use data from another service can subscribe to an event, and another service that wants to share data will publish an event in an event. specific topic. Based on these problems, the author intends to conduct a study entitled "Implementation of Event-Driven Microservices in New Student Admission Service Applications".
Understanding Temporal Human Mobility Patterns in a City by Mobile Cellular Data Mining, Case Study: Tehran City

Recent studies have shown that urban complex behaviors like human mobility should be examined by newer and smarter methods. The ubiquitous use of mobile phones and other smart communication devices helps us use a bigger amount of data that can be browsed by the hours of the day, the days of the week, geographic area, meteorological conditions, and so on. In this article, mobile cellular data mining is introduced as an emerging approach in analyzing and understanding human mobility patterns, then generic location update is examined as a way to observe and perceive human mobility and movement in cities. This method was examined in Tehran metropolitan area map, the results show that different urban issues can be understood and solved using this huge amount of data like urban transportation, social problems or urban functions. Tehran cellular data analysis shows that it can be recognized as a city in two major parts, the border zone which is mostly the origin of all trips and the central zone which is mostly the destination of all trips and the most visited hotspot of the city during a normal day, also it was concluded that because of low population density in this part of the city and very high human mobility throughout a day, this area would have many social security issues. In the end, taking advantage of more accurate data in cell level was proposed in order to have better and more reliable assumptions about future mobility trends and co-presence patterns.