Miracle-dz/UniFAR-FTUs huggingface dataset:
REBACIN® as a noninvasive clinical intervention for high‐risk human papillomavirus persistent infection

The development of highly sensitive HPV‐genotyping tests has opened the possibility of treating HPV‐infected women before high‐grade lesions appear. The lack of efficient intervention for persistent high‐risk HPV infection necessitates the need for development of novel therapeutic strategy. Here we demonstrate that REBACIN®, a proprietary antiviral biologics, has shown potent efficacy in the clearance of persistent HPV infections. Two independent parallel clinical studies were investigated, which a total of 199 patients were enrolled and randomly divided into a REBACIN®‐test group and a control group without treatment. The viral clearance rates for the REBACIN® groups were 61.5% (24/39) and 62.5% (35/56), respectively, for the two independent parallel studies. In contrast, the nontreatment groups showed self‐clearance rates at 20.0% (8/40) and 12.5% (8/64). We further found that REBACIN® was able to significantly repress the expression of HPV E6 and E7 oncogenes in TC‐1 and Hela cells. The two viral genes are well known for the development of high‐grade premalignancy lesion and cervical cancer. In a mouse model, REBACIN® was indicated to notably suppress E6/E7‐induced tumor growth, suggesting E6 and E7 oncogenes as a potential target of REBACIN®. Taken together, our studies shed light into the development of a novel noninvasive therapeutic intervention for clearance of persistent HPV infection with significant efficacy.
Teachers’ Inadequate Support in the Implementation of Inclusive Education in the Johannesburg East District, Gauteng Province

Little is known about the inadequate teacher support towards inclusive education in South Africa. This study was aimed at exploring the inadequacy of support regarding the implementation of inclusive education in the Johannesburg East District, Gauteng province. The ecological theory of Bronfenbrenner was used as a theoretical lens for this study. Face-to-face individual interviews were carried out, whereby 15 teachers were interviewed. This study used a phenomenology design, underpinned within a interpretive paradigm, to gain insight on the inadequacy of support regarding the implementation of inclusive education. The data was inductively analysed using the thematic analytic methods that search for themes. The study used convenient and purposive sampling as initial plan to select teachers that a researcher can easily access. Non-probability sampling was used as sampling technique; thus, the sampling was unable to give all individuals in the population an equal chance of being selected. This study revealed that inadequate teacher support was prevalent in the district where this study was conducted. Teachers in this study mentioned that they struggled to implement inclusive education in schools, owing to insufficient support given to them Teachers need to be empowered through continuous development platforms such as training and provided with guiding manuals. In addition, structures should be made accessible to accommodate all learners and resources and supports should be made available for use in the inclusive schools. This study would contribute significantly in the understanding of the inadequate support provision provided to teachers in the implementation of inclusive education.
Evaluating the Relationship between Inflammatory Load of a Diet and Depression in Young Adults

ABSTRACT The aim of this study is to investigate the relationship between dietary inflammatory index (DII) and depression. The study was carried out with 134 female university students staying in dormitory. The data were collected using questionnaire form. The questionnaire contains socio-demographic information, physical activity, anthropometric measurements, depression scale, and the 3-day food intake record. The DII score was calculated based on the food intake record form. It was found that 56 of the participants did not have any depression symptoms. The participants‘ mean DII scores were 0.76 ± 0.59 and they were found to have a pro-inflammatory dietary pattern. The third-tertile depression score was 56.3 ± 8.6, which was statistically higher than the others (p < 0.05). Upon modeling, a significant association between high DII scores and increased odds of incidence DepS was observed (odds ratio (OR) = 2.90; 95% CI = 1.51–5.98). Finally there is a need to conduct cohort studies to identify DII scores of the individuals in our country, investigate the relationship between these scores and depression, and establish a cause and effect relationship.
Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary

The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn’t contain enough sentiment words or omits some field sentiment words. In addition, due to the existence of some polysemic sentiment words with positivity, negativity, and neutrality, the words’ polarity cannot be accurately expressed, so the accuracy of text sentiment analysis is reduced to some extent. In this paper, an extended sentiment dictionary is constructed. The extended sentiment dictionary contains the basic sentiment words, the field sentiment words, and the polysemic sentiment words, which improves the accuracy of sentiment analysis. The naive Bayesian classifier is used to determine the field of the text in which the polysemic sentiment word is. Thus, the sentiment value of the polysemic sentiment word in the field is obtained. By utilizing the extended sentiment dictionary and the designed sentiment score rules, the sentiment of the text is achieved. The experimental results prove that the proposed sentiment analysis method based on extended sentiment dictionary has certain feasibility and accuracy. The research is meaningful for the sentiment recognition of the comment texts.
Reduced Heat Generation During Magnetic Stimulation of Rat Sciatic Nerve Using Current Waveform Truncation

Current truncating circuit designs used in some controllable pulse width transcranial magnetic stimulation systems can be adapted for use with the peripheral nervous system. Such a scaled-down stimulator produces neuromuscular activation using less stimulus energy than described in previous reports of sciatic nerve stimulation. To evaluate the energy reductions possible with current truncation, we performed six <italic>in vivo</italic> experiments in rats where the magnetic stimulating coil abutted the sciatic nerve. We used electromyographic data to quantify neuromuscular response, with a criterion level of 20%-of-maximum to indicate a useful level of neuromuscular activation. The energy required to evoke this criterion response from muscles innervated by the sciatic nerve was reduced by approximately 34% from 10.7J with a stimulus waveform lasting 300<inline-formula> <tex-math notation="LaTeX">${\mu }\text{s}$ </tex-math></inline-formula> to 7.1J with a waveform lasting 50<inline-formula> <tex-math notation="LaTeX">${\mu }\text{s}$ </tex-math></inline-formula>. In water, the 300<inline-formula> <tex-math notation="LaTeX">${\mu }\text{s}$ </tex-math></inline-formula> pulse heated the coil by 0.30°C whereas the 50<inline-formula> <tex-math notation="LaTeX">${\mu }\text{s}$ </tex-math></inline-formula> pulse heated the coil by 0.15°C. Truncated-waveform magnetic stimulation systems can be used in basic research and clinical applications not requiring rapidly pulsed stimuli. An example of such a clinical application is left vagus nerve stimulation, a treatment that is reported to reduce epileptic partial-onset seizures.
Joint 3D Beamforming and Power Allocation in Distributed Antenna Systems

Distributed antenna system (DAS) and three-dimensional (3D) beamforming are two potential techniques to enhance the data rate of 5G wireless communication systems. Combining these two techniques together can further improve the system performance. In this paper, we investigate the joint 3D beamforming and power allocation scheme in DASs. We first analyze the data rate of the system and then formulate the problem to maximize the overall network data rate considering the constraints, including transmit power, antenna tilt, and users’ quality of service (QoS) requirements. The formulated problem is nonlinear and difficult to find the solution directly. Therefore, we develop a two-step algorithm to solve the problem, where it first determines the optimal antenna downtilts for 3D beamforming and afterwards deals with the power allocation based on sub-gradient method. Simulation results demonstrate the performance improvement of the proposed algorithm.
RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks

RNA-Protein binding plays important roles in the field of gene expression. With the development of high throughput sequencing, several conventional methods and deep learning-based methods have been proposed to predict the binding preference of RNA-protein binding. These methods can hardly meet the need of consideration of the dependencies between subsequence and the various motif lengths of different translation factors (TFs). To overcome such limitations, we propose a predictive model that utilizes a combination of multi-scale convolutional layers and bidirectional gated recurrent unit (GRU) layer. Multi-scale convolution layer has the ability to capture the motif features of different lengths, and bidirectional GRU layer is able to capture the dependencies among subsequence. Experimental results show that the proposed method performs better than four state-of-the-art methods in this field. In addition, we investigate the effect of model structure on model performance by performing our proposed method with a different convolution layer and a different number of kernel size. We also demonstrate the effectiveness of bidirectional GRU in improving model performance through comparative experiments.
A Quasi-Experimental Study on the Effect of an Outdoor Physical Activity Program on the Well-Being of Older Chinese People in Hong Kong

Active participation in physical activity by older people is effective in improving their health. This research aims to examine the positive effects of participation in vigorous outdoor physical activities by older Chinese people in Hong Kong, and whether such effects would vary with socioeconomic background. A quasi-experimental, nonequivalent group design was used. A total of 22 participants were randomly assigned to participate in an outdoor physical activity program. Another 14 participants took part as a control group. The 14-item Self-Image of Aging Scale for Chinese Elders and the four-item self-report Subjective Happiness Scale were used to measure participants’ self-image and overall happiness level. All participants completed the assessment before and after the program. Happiness level was enhanced in participants in the experimental group (p = 0.037) and their level of overall mental health also improved (p = 0.031, η2 p = 0.129). Demographics did not have any significant effect on well-being outcomes. A structured outdoor physical activity program could be a viable choice for future practice to enhance the mental well-being of older Chinese people.
Dynamic Facial Expression Recognition based on Two-Stream-CNN with LBP-TOP

In this paper, we propose a dynamic facial expression recognition (FER) method based on two-stream architecture with both Spatial and Temporal Convolutional Neural Network (CNN) with LBP-TOP feature. The proposed system focuses on spatial feature with obvious expression frame and also focuses on the temporal information in all expressions sequence changed from non-expression frame. This two-stream architecture is validated in the field of action recognition in video by track the optical flow information on temporal part. In this paper, we utilized LBP-TOP feature which able to extract the spatial-temporal feature on facial expression change process, and is validated the effectiveness on this field. Our proposed method is evaluated using CK+. And the results are comparable to the state-of-the-art methods to prove the effectiveness of proposed architecture.
Implications of primary health care models in workloads of health professionals

ABSTRACT: This study discusses the influence of two health care models on the workloads of health professionals. This qualitative study was conducted with Family Health teams and traditional teams working in southern Brazil. Focus groups, interviews, and documentary study were used to obtain data, which were analyzed combining Thematic Content Analysis with the features of the AtlasTi software. In both models, it was evident that the problems in the organization and management of health care, excessive demand and innefective problem-solving are the main sources of increased workloads while affinity with the health care model and teamwork were mentioned as sources of workloads reduction. We conclude that the increase in workloads in Family Health model was affected by gaps between what was prescribed and performed, while in the traditional model this was due to fact that the health care model is based on biomedicine. DESCRIPTORS: Primary health care. Occupational health. Workload. Health personnel.
Utility of ALT Concentration in Men and Women with Nonalcoholic Fatty Liver Disease: Cohort Study

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of elevated alanine aminotransferase (ALT), but the clinical utility of ALT in detecting and following individuals with NAFLD remains unclear. We conducted a retrospective analysis of 30,988 men and 5204 women with NAFLD diagnosed by ultrasound and stratified them according to sex-specific ALT quartiles. We compared metabolic variables at baseline and repeated ultrasound after at least 6 months among ALT quartiles (Q) in men (Q1 5–24, Q2 25–33, Q3 34–48, Q4 ≥ 49 IU/L) and women (Q1 5–14, Q2 15–20, Q3 21–28, Q4 ≥ 29 IU/L). Prevalence of obesity (BMI ≥ 25 kg/m2) and metabolic abnormalities (glucose intolerance, hypertension) significantly (p < 0.001) increased from ALT Q1 to Q4 in both men and women at baseline. After a mean follow-up of 4.93 years, 17.6% of men and 31.1% of women resolved their NAFLD. The odds ratio (OR) of resolving significantly (p < 0.001) decreased by quartiles even after multiple adjustments. The adjusted OR for resolution in Q4 was 0.20 (0.18–0.23) in men and 0.35 (0.26–0.47) in women compared with Q1. Individuals with NAFLD span the full range of ALT concentrations, but those with the highest ALT have the worst metabolic profile and persistent NAFLD.
3D Space Layout Design of Holographic Command Cabin Information Display in Mixed Reality Environment Based on HoloLens 2

After the command and control information of the command and control cabin is displayed in the form of mixed reality, the large amount of real-time information and static information contained in it will form a dynamic situation that changes all the time. This brings a great burden to the system operator’s cognition, decision-making and operation. In order to solve this problem, this paper studies the three-dimensional spatial layout of holographic command cabin information display in a mixed reality environment. A total of 15 people participated in the experiment, of which 10 were the subjects of the experiment and 5 were the staff of the auxiliary experiment. Ten subjects used the HoloLens 2 generation to conduct visual characteristics and cognitive load experiments and collected and analyzed the subjects’ task completion time, error rate, eye movement and EEG and subjective evaluation data. Through the analysis of experimental data, the laws of visual and cognitive features of three-dimensional space in a mixed reality environment can be obtained. This paper systematically explores the effects of three key attributes: depth distance, information layer number and target relative position depth distance of information distribution in a 3D space, on visual search performance and on cognitive load. The experimental results showed that the optimal depth distance range for information display in the mixed reality environment is: the best depth distance for operation interactions (0.6 m~1.0 m), the best depth distance for accurate identification (2.4 m~2.8 m) and the overall situational awareness best-in-class depth distance (3.4 m~3.6 m). Under a certain angle of view, the number of information layers in the space is as small as possible, and the number of information layers should not exceed five at most. The relative position depth distance between the information layers in space ranges from 0.2 m to 0.35 m. Based on this theory, information layout in a 3D space can achieve a faster and more accurate visual search in a mixed reality environment and effectively reduce the cognitive load.
Flights-to-quality from EM Bonds to safe-haven US Treasury Securities: A time-frequency Analysis

ABSTRACT We study 2001–2020 flight-to-quality episodes encompassing two planetary-scale crises: the Global Financial Crisis (GFC) of 2007–2008 and the coronavirus-triggered global meltdown. We focus on time-frequency lead-lag nexuses between holding emerging market (EM) debt and investing in relatively risk-free US Treasuries. Wavelet coherency along with the phase-difference approach is used. Our results reveal varying lead-lag patterns and low-coherence zones between EM bonds and US Treasuries, which imply the existence of appealing diversification attributes. The flights-to-quality during the crisis periods, such as the GFC and COVID-19 pandemic, emphasize the safe-haven characteristics of US Treasures. They also evidence that the post-Covid tightening of credit spreads to the pre-crisis levels is faster than the post-GFC recovery. We demonstrate that for EM debt investors, the US Treasury market allows for dynamic risk mitigation strategies during both global crises.
Does Investment Structure Matters in the Nexus Between Income Diversification and Financial Performance in Comesa Region? Evidence from Commercial Banks in Kenya

Purpose: The article examines whether investment structure moderates the relationship between income diversification and financial performance of Commercial banks in COMESA region. Approach/Methodology/Design: The study adopted positivist research paradigm and explanatory research design. The data was collected from 31 commercials banks in Kenya from 2008 to 2019.The study considered the following variables: Income Diversification, Investment Structure and Financial Performance. Modern portfolio theory, Agency theory and resource based view theory were adopted. Findings: The study established that income diversification have positive significant effects on the financial performance. The bank investment structure recorded a negative significant effect on financial performance of the commercial banks. Further, the interaction between investment structure and income diversification presented a negative significant effect on financial performance of the commercial banks. The study adds to debate on diversification premiums and discounts by establishing that investment structure moderates the relationship between income diversification and financial performance. COMESA banks have reasons to diversify their income but should consider the mix of the investment structure to achieve optimum results. Practical Implications: Since the study support the benefits of diversification, COMESA as a region can accelerate on pushing for policies that encourage bank diversification to improve the profitability. Additionally, the diversifying banks should optimally adjust their investment structures to propel diversification benefits to compensate the declining interest income. Originality/value: This study contributes to conflicting diversification premiums and discounts by introducing the moderating role of bank investment structure, this indirect effects adds to modern portfolio theory and agency theory that asserts direct relationship of both diversification premiums and discounts respectively.
Modifiable Factors Associated with Quality of Bowel Preparation Among Hospitalized Patients Undergoing Colonoscopy

INTRODUCTION Inadequate bowel preparation (IBP) is a common problem in hospitalized patients; however, little is known about how to prevent IBP. In a large, multihospital system, we evaluated the association between modifiable factors and IBP rate. METHODS We reviewed data from adult (≥18 years) inpatients undergoing colonoscopy between January 2011 and June 2017. Colonoscopies performed in the intensive care unit or lacking descriptions of bowel preparation quality were excluded. Multivariate logistic regression analysis was performed to identify factors associated with IBP. A counterfactual analysis was performed to assess the potential contribution of modifiable factors to IBP. RESULTS Of 8,819 patients that were included (median age of 64 years; 50.5% female), 51% had IBP. Patients with IBP stayed in the hospital one day longer than those with adequate bowel preparation (P < .001). Modifiable factors associated with IBP include opiate use within three days of colonoscopy (OR, 1.31; 95% CI, 1.18, 1.45), colonoscopy performed after 12:00 pm (OR, 1.25; 95% CI, 1.1, 1.41), and solid diet the day before colonoscopy (OR, 1.37; 95% CI, 1.18, 1.59). In the counterfactual analysis, if all patients avoided these three conditions, adjusted IBP rates were reduced by 5.6%. CONCLUSIONS Among hospitalized patients undergoing colonoscopy, IBP rates are high and associated with an increased length of stay. Avoiding opiates before colonoscopy, performing colonoscopy before noon, and maintaining patients on a liquid diet or nil per os might significantly reduce IBP rates.
Vigilância de óbitos infantis em sistemas locais de saúde: avaliação da autópsia verbal e das informações de agentes de saúde

Conhecer os eventos vitais de uma populacao e de fundamental importância para combater a morbimortalidade e melhorar as condicoes de vida. Contudo, no Brasil, os sistemas de informacao de saude tem-se mostrado ineficientes. No presente estudo, realizado em tres municipios do Estado do Ceara (Quixada, Icapui e Jucas), com boa cobertura de servicos de atencao primaria a saude, foram investigados, atraves de um instrumento epidemiologico denominado autopsia verbal, 215 obitos de criancas menores de 1 ano de idade, representando 90% do total dos obitos em 1993 e 1994. Foram averiguadas as caracteristicas socioeconomicas, cuidados e higiene, estado nutricional, o processo de doenca, assistencia e morte, a causa basica do obito e o funcionamento do sistema de informacao sobre mortalidade e do sistema de informacao de agentes de saude. Segundo a autopsia verbal, 39% dos obitos tiveram como causa basica a diarreia, seguida da prematuridade (17%) e infeccao respiratoria aguda (10%); 49% das criancas morreram no domicilio, embora 79% das familias tenham procurado os servicos de saude no decorrer da doenca fatal, sugerindo uma baixa efetividade na identificacao e no tratamento de lactentes com doencas graves. Em 84% dos casos, a familia procurou a rezadeira. Os agentes de saude foram procurados em 29% dos casos, embora tenham notificado 78% dos obitos investigados. A concordância estatistica entre diagnostico dos agentes de saude para a causa basica do obito e autopsia verbal foi boa para a diarreia, regular para outras causas, e fraca para a infeccao respiratoria aguda. A incorporacao da autopsia verbal a rotina dos servicos de atencao primaria a saude do Estado propiciaria informacoes valiosas para as equipes locais de saude e geraria uma consciencia critica que favorece a reducao da mortalidade infantil.