Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidemiology of Alzheimer’s disease in the Odesa region

The aim of the work was to study the epidemiology of Alzheimer’s disease in the Odesa region. Materials and methods. The study was carried out on the basis of the Regional Mental Health Center (Odesa) in 2016–2021. The data of the primary referral of patients with a verified diagnosis of Alzheimer’s disease were analyzed. Statistical processing of the obtained data was performed by frequency analysis methods using standard MS Excel packages (Microsoft Inc., USA). The population of the Odesa region was determined according to the State Statistics Service of Ukraine. Results. According to the retrospective analysis over the past 5 years, there was a constant increase in the number of identified patients with Alzheimer’s disease, from 4.9 cases per 100,000 population in 2016 to 6.0 cases in 2020 with a slight predominance of women in the structure of cases. Brain MRI was performed only in 29 (4.6 %) patients, EEG in 41 (6.5 %) patients. There were no cases of familial Alzheimer’s disease or early-onset Alzheimer’s disease. In 2020, Alzheimer’s and dementia deaths reached 14,196 or 2.54 % of total mortality in Ukraine. Conclusions. The prevalence of Alzheimer’s disease was 6.0 cases per 100,000 in the population of the Odesa region at the end of 2021, which was an order of magnitude less than the global average. The mean score on the MMSE scale was 18.6 ± 0.5. The analysis on subscales has shown the prevalence of memory, spatial orientation and verbal disorders. The Ukrainian population is characterized by the small number of patients of the older age group (3.3 %) and the predominance of female patients (59.4 %).
Adaptação e Evidências de Validade do Deliberate Self-Harm Inventory - Versão Simpli

Resumo Esta pesquisa adaptou e analisou as evidências de validade da versão simplificada do Deliberate Self-Harm Inventory (DSHI-s) para o português. Participaram 160 estudantes do ensino médio. Aplicou-se um questionário sociodemográfico, o Questionário de Impulso, Autodano e Ideação Suicida na Adolescência (QIAIS-A) e a versão traduzida do DSHI-s (nomeado como Inventário de Autolesão Deliberada - reduzido - IAD-r). A análise dos dados foi conduzida por meio dos softwares SPSS e Factor. O resultado da análise fatorial exploratória indicou uma estrutura final para o IAD-r composta por 15 itens distribuídos em um fator e a escala apresentou boa consistência interna (alfa de Cronbach=0,95; ômega de McDonald=0,95). Constataram-se, também, evidências de validade convergente do IAD-r com o QIAIS-A (índice de correlação=0,775; p<0,001). Portanto, os presentes achados demonstraram evidências de validade do IAD-r, pois foram obtidas características psicométricas satisfatórias para mensuração de comportamentos autolesivos em adolescentes.
On-the-fly Incremental Liveness Verification Based on Bounding Depth Sub B\"{u}chi Automata

In this paper we propose an on-the-fly incremental liveness verification method based on Bounding Depth Sub Buchi Automata (BDSBAs), which is an improvement of the Gaiser model checking algorithm [1]. Given a bounding depth, at first the method on-the-fly computes a bounding depth state set as the key factor of a BDSBA by a bounding depth DFS procedure, and then makes nested depth-first search as Gaiser algorithm explore an accepting lasso of the BDSBA as a counterexample of the liveness property under verification. With the increment of the bounding depth, our method can incrementally verify a liveness property. The empirical results indicate that our new method outperforms the original one.
Validating Force Sensitive Resistor Strip Sensors for Cardiorespiratory Measurement during Sleep: A Preliminary Study

Sleep disorders can impact daily life, affecting physical, emotional, and cognitive well-being. Due to the time-consuming, highly obtrusive, and expensive nature of using the standard approaches such as polysomnography, it is of great interest to develop a noninvasive and unobtrusive in-home sleep monitoring system that can reliably and accurately measure cardiorespiratory parameters while causing minimal discomfort to the user’s sleep. We developed a low-cost Out of Center Sleep Testing (OCST) system with low complexity to measure cardiorespiratory parameters. We tested and validated two force-sensitive resistor strip sensors under the bed mattress covering the thoracic and abdominal regions. Twenty subjects were recruited, including 12 males and 8 females. The ballistocardiogram signal was processed using the 4th smooth level of the discrete wavelet transform and the 2nd order of the Butterworth bandpass filter to measure the heart rate and respiration rate, respectively. We reached a total error (concerning the reference sensors) of 3.24 beats per minute and 2.32 rates for heart rate and respiration rate, respectively. For males and females, heart rate errors were 3.47 and 2.68, and respiration rate errors were 2.32 and 2.33, respectively. We developed and verified the reliability and applicability of the system. It showed a minor dependency on sleeping positions, one of the major cumbersome sleep measurements. We identified the sensor under the thoracic region as the optimal configuration for cardiorespiratory measurement. Although testing the system with healthy subjects and regular patterns of cardiorespiratory parameters showed promising results, further investigation is required with the bandwidth frequency and validation of the system with larger groups of subjects, including patients.
A Combination of Sequence Analysis and Log-Linear Path Models to Analyze the Influence of Occupational Success on Panel Attrition

Zusammenfassung: In dem Beitrag wird der Zusammenhang von Berufserfolg und Panelmortalitat in methodisch innovativer Weise untersucht. Uberpruft wird, ob ein so genannter Erfolgbias vorliegt, der problematisch ware, weil in Absolventenund Berufsverlaufsstudien haufig der Berufserfolg die eigentlich interessierende Variable darstellt. Im Gegensatz zu bisherigen Studien wird der Berufserfolg als ein dynamisches Konzept operationalisiert und auf den gesamten beobachteten Lebenslauf bezogen. Mit Hilfe des Optimal Matchings im Rahmen der Sequenzmusteranalyse sowie der Clusteranalyse werden Typen von Berufsverlaufen gebildet, die sich unter anderem hinsichtlich des Erfolgs oder Misserfolgs unterscheiden. Im zweiten Schritt wird unter Verwendung von modifizierten log-linearen Pfadmodellen gezeigt, dass ein durch Panelmortalitat verursachter Erfolgsbias in den untersuchten Daten nicht festgestellt werden konnte.
A new single ended primary inductor converter with high voltage gain, low voltage stress and continuous input current

This paper proposes a single‐ended primary‐inductor converter (SEPIC)‐based DC‐DC converter with higher voltage gain, continuous input current, and lower voltage stress. Suggested converter uses three‐winding coupled inductors and voltage multiplier for boosting function. The proposed structure stores lower amount of energy due to lower current magnitudes of used inductors. Moreover, using voltage multiplier reduces the voltage stress of the elements connected to the output terminals of the proposed converter. By reducing the voltage stress, in addition to reducing the rating of output elements and costs, the overall efficiency will also be increased. Also, a clamping circuit is used to diminish the voltage stresses on power switch. In order to represent the advantages of the proposed converter over some other converters in the viewpoints of the number of the used elements, continuity of input current, voltage gain, the voltage stress on power switch, and output diode, a comparison study is provided. To validate the practicability of the proposed converter, a 200‐W prototype is implemented and the experimental results are provided.
A controlled evaluation of filter paper use during staining of sputum smears for tuberculosis microscopy

Background: Some sputum smear microscopy protocols recommend placing filter paper over sputum smears during staining for Mycobacterium tuberculosis (TB) . We found no published evidence assessing whether this is beneficial. We aimed to evaluate the effect of filter paper on sputum smear microscopy results. Methods: Sputum samples were collected from 30 patients with confirmed pulmonary TB and 4 healthy control participants. From each sputum sample, six smears (204 smears in total) were prepared for staining with Ziehl-Neelsen (ZN), auramine or viability staining with fluorescein diacetate (FDA). Half of the slides subjected to each staining protocol were randomly selected to have Whatman grade 3 filter paper placed over the dried smears prior to stain application and removed prior to stain washing. The counts of acid-fast bacilli (AFB) and precipitates per 100 high-power microscopy fields of view, and the proportion of smear that appeared to have been washed away were recorded. Statistical analysis used a linear regression model adjusted by staining technique with a random effects term to correct for between-sample variability. Results: The inclusion of filter paper in the staining protocol significantly decreased microscopy positivity independent of staining with ZN, auramine or FDA (p=0.01). Consistent with this finding, there were lower smear grades in slides stained using filter paper versus without (p=0.04), and filter paper use reduced AFB counts by 0.28 logarithms (95% confidence intervals, CI=0.018, 0.54, p=0.04) independent of staining technique. In all analyses, auramine was consistently more sensitive with higher AFB counts versus ZN (p=0.001), whereas FDA had lower sensitivity and lower AFB counts (p<0.0001). Filter paper use was not associated with the presence of any precipitate (p=0.5) or the probability of any smear washing away (p=0.6) during the staining process. Conclusions: Filter paper reduced the sensitivity of AFB microscopy and had no detectable beneficial effects so is not recommended.
FAKTOR YANG MEMPENGARUHI BRAND ATTACHMENT DAN POSITIVE WORD-OF-MOUTH PENGGUNA MOBILE BANKING TERHADAP MOBILE BANKING SERVICE QUALITY

Penelitian di latar belakangi oleh persaingan antara bank di Indonesia yang semakin kompetitif, serta pertumbuhan teknologi yang terus berkembang. Mendorong perbankan di Indonesia untuk memberikan kualitas layanan mobile banking sebaik mungkin, untuk meningkatkan brand attachment pengguna. Mobile service quality yang diberikan pada fitur aplikasi mobile banking penting karena memberikan pengalaman yang menyenangkan dan positive word-of-mouth. Penelitian ini bertujuan untuk menganalisis pengaruh mobile service quality (usability, value-added features, security/privacy, interactivity) terhadap brand attachment yang mempengaruhi positive word-of-mouth pengguna mobile banking di Indonesia. Dilakukan penyebaran kuisoner kepada 278 responden. Pengambilan sampel dalam penelitian ini menggunakan non-probability sampling dan purposive sampling. Metode analisis data dengan structural equation modelling (SEM) dan software AMOS 23. Hasil menunjukkan variabel msq (usability) mempengaruhi brand attachment secara positif, tidak didukung. Msq (value-added features, security/privacy, interactivity) mempengaruhi positive WOM secara positif, juga tidak didukung. Kemudian msq (value-added features, security/privacy, interactivity) mempengaruhi brand attachment, msq (usability) dan brand attachment mempengaruhi positive WOM secara positif dan signifikan terhadap pengguna mobile banking di Indonesia. Adapun saran bagi manajemen aplikasi mobile banking, meningkatkan msq (usability, value-added features, security/privacy, interactivity) yang dapat mempengaruhi brand attachment dan positive WOM pengguna mobile banking di Indonesia.
Preliminary study on the effect of ozone exposure on blood glucose level in rats

BACKGROUND: In recent years, people have paid more and more attention to the health hazards caused by O3 exposure, which will become a major problem after fine particulate matter (PM). OBJECTIVE: To investigate the effects of ozone (O3) exposure on blood glucose levels in rats under different concentrations and times. METHODS: Eighty rats were divided into control group and three ozone concentration groups. Each group was continuously exposed for 1d, 3d and, 6d, and exposed for 6 hours daily. After exposure, GTT, FBG, and random blood glucose were measured. RESULTS: The FBG value increased significantly on the 6th day of 0.5 ppm and the 3rd and 6th days of 1.0 ppm exposure compared with the control group (P< 0.05). The random blood glucose value was significantly increased on the 3rd and 6th days of each exposure concentration (P< 0.05). When exposed to 1 ppm concentration, the 120 min GTT value of 1 d, 3 d and, 6 d was significantly higher than that of the control group (P< 0.05). CONCLUSION: After acute O3 exposure, the blood glucose level of rats was affected by the exposure concentration and time. The concentration of 0.1 ppm had no significant impact on FBG and random blood glucose, and O3 with a concentration of 0.1 ppm and 0.5 ppm had no significant impact on values of GTT at 90 min, and 120 min.
Church Alonzo and Rosser J. B.. Some properties of conversion. Transactions of the American Mathematical Society, vol. 39 (1936), pp. 472–482.

A consequence of this result is the unsolvability of the "Entscheidungsproblem" for any formal system satisfying certain general conditions—the Entscheidungsproblem meant here is the problem of deciding by a general method on the deducibility of any given formula of the system in question. In view of the fact that the definition of recursiveness, as well as that of X-definability, includes an existential condition, which is open to a more or less constructively sharpened interpretation, it may be remarked that the results of this paper are independent of the manner of delimiting the concept of "existence" from a constructive point of view.
Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT

Kinetic modeling is an essential tool in systems biology research, enabling the quantitative analysis of biological systems and predicting their behavior. However, the development of kinetic models is a complex and time-consuming process. In this article, we propose a novel approach called KinModGPT, which generates kinetic models directly from natural language text. KinModGPT employs GPT as a natural language interpreter and Tellurium as an SBML generator. We demonstrate the effectiveness of KinModGPT in creating SBML kinetic models from complex natural language descriptions of biochemical reactions. KinModGPT successfully generates valid SBML models from a range of natural language model descriptions of metabolic pathways, protein–protein interaction networks, and heat shock response. This article demonstrates the potential of KinModGPT in kinetic modeling automation.
Use of Social Media for Patient Education in Dermatology: Narrative Review

Background Social media has rapidly become one of the main avenues for news and communication among those with access to technology. Nearly 60% or 4.7 billion people worldwide use social media. Different social media networks provide users with a barrage of posts, opinions, and transformations. With this noticeable uptick in physician and patient education usage of social media, exploration of the impacts of social media on patient education in dermatology is crucial. Objective The goal of this narrative review was to evaluate existing peer-reviewed literature examining the use of social media for patient education in dermatology and to establish trends and implications. Additional attention was given to different social media sites, and potential differences in modalities of posts such as short-form videos on TikTok and Instagram Reels, long-form videos on YouTube, and infographics on Twitter, Instagram, and Facebook. Methods PubMed, Access DermatologyDxRx, and Scopus searches of peer-reviewed publications were performed to discover articles with social media and patient education keywords in combination with other health care–relevant or dermatology-relevant keywords. Subsequently, the screening of these studies was performed by the author who has experience with education and research experience in health care, dermatology, social media, and telehealth. Ultimately, the selected articles were summarized through qualitative analysis of key points and presented for further discussion. Results Through this narrative review, the researcher was able to identify several publications focusing on dermatology and social media. Some common subject areas included the use of social media for the promotion of private dermatology practices, residency programs, and research journals. So long as providers, such as dermatologists, take ethical considerations into account, these platforms can provide patients with curated educational content. In addition, several publications emphasized the use of social media as a form of patient education on dermatologic conditions but also as a source of misinformation. Conclusions This narrative review illuminated the use of social media as a form of patient education for dermatology, with its applications addressed across many demographics and situations. As social media platforms continue to update their algorithms, content filters, and posts, social media may become a reputable form of patient education in dermatology. Future studies and innovations should continue to explore innovations in this space, the efficacy of different modalities of posts, and longitudinal differences in patient outcomes and health literacy.
A real-time integration scheme of multi-source heterogeneous data based on Flink

Data integration technology is of great significance to all kinds of analysis and decision-making systems based on largescale data. The difficulty of data integration lies in the diversity of data sources, data types and data storage methods, which makes it difficult to integrate data in real time. To solve the above problems, this paper designs a scheme, which uses the real-time stream processing characteristics of Apache Flink to realize the real-time integration of multi-source heterogeneous data through log capture and user-defined data processing. Through this scheme, multi-source heterogeneous data can be integrated into one place to provide data support for all kinds of big data analysis and decision-making.
Complex-Valued End-to-End Deep Network With Coherency Preservation for Complex-Valued SAR Data Reconstruction and Classification

Deep learning models have achieved remarkable success in many different fields and attracted many interests. Several researchers attempted to apply deep learning models to synthetic aperture radar (SAR) data processing, but it did not have the same breakthrough as the other fields, including optical remote sensing. SAR data are in complex domain by nature and processing them with real-valued (RV) networks neglects the phase component which conveys important and distinctive information. A complex-valued (CV) end-to-end deep network is developed in this study for the reconstruction and classification of CV-SAR data. Azimuth subaperture decomposition is utilized to incorporate physics-aware attributes of the CV-SAR into the deep model. Moreover, the correlation coefficient amplitude (coherence) of the CV-SAR images depends on the SAR system characteristics and physical properties of the target. This coherency should be considered and preserved in the processing chain of the CV-SAR data. The coherency preservation of the CV deep networks for CV-SAR images, which is mostly neglected in the literature, is evaluated in this study. Furthermore, a large-scale CV-SAR annotated dataset for the evaluation of the CV deep networks is lacking. A semantically annotated CV-SAR dataset from Sentinel-1 single look complex stripmap mode data [S1SLC_CVDL (complex-valued deep learning) dataset] is developed and introduced in this study. The experimental analysis demonstrated the better performance of the developed CV deep network for CV-SAR data classification and reconstruction in comparison with the equivalent RV model and more complicated RV architectures, as well as its coherency preservation and physics-aware capability.
Therapeutic Perspectives of Metal Nanoformulations

In recent decades, acceptance of nanoparticles (NPs) in therapeutic applications has increased because of their outstanding physicochemical features. By overcoming the drawbacks of conventional therapy, the utilization of metal NPs, metal-oxide, or metal supported nanomaterials have shown to have significant therapeutic applications in medicine. This is proved by a lot of clinical and laboratory investigations that show improved treatment outcomes, site-specific drug delivery, and fewer side effects compared to traditional medicine. The metal NPs interaction with living cells (animal and plant) showed many ways to develop therapeutic models with the NPs. Despite all of the advancements that science has achieved, there is still a need to find out their performance for long-term use to solve modern challenges. In this regard, the present documentation reviews some potential metals, including silver (Ag), gold (Au), zinc (Zn), copper (Cu), iron (Fe), and nickel (Ni) NPs, as therapeutic agents in various areas such as anticancer, antimicrobial, antidiabetic, and applicable for the treatment of many other diseases. Depending on the outstanding ongoing research and practical trials, metal-based NPs can be considered the hope of prospective modern therapeutic areas.
The Influencing Factors of Project-Based Learning Implementation in K-12 Education

Project-Based Learning (PBL), a teaching and learning style advocated by many schools around the world currently, differs from the traditional teacher-centered teaching style. Compared with the traditional teaching style, PBL has various standards for the overall teaching and learning framework in the classroom. At the K-12 level, due to the relatively young and immature conceptualization of the teaching population, the three aspects of the teacher role, structural design, and environmental regulation need to be fully considered. This paper argues that there is a wider application prospect of PBL in curriculum teaching at K-12 level based on the deepening of curriculum and teaching reform and the evolution of teaching concepts. But at the same time, the framework of PBL determines that it has many clear and detailed requirements for conditions inside and outside the classroom. This paper reviews the current progress of PBL and compiles the important influencing factors of PBL model development in K-12 education stage, hoping to provide inspiration for future PBL curriculum reform design.
Which Theory Can Explain World Politics Better? Comparison Between Realism and Liberalism

The realists and liberalists understand the world from different perspectives and tend to explain the whole world in a divergent way. Here comes the eternal question of the academic circle. Who can explain the world better, realists or liberalists? This question is significant because it helps us to comprehend how world politics function and the current political dilemmas better. We argue that realism can explain history better than liberalism. Constant competitions were always presented through the frequent conflicts between countries. It is an irreversible and most unpreventable nature of the world. Through studying the theories, we are able to examine the world more systematically and logically. The classifications of the subject rationale the complicated and distinct historical events. Moreover, following the steps and various ideas of former scholars allows us to develop our own understanding of the world and determine our perspective.