Miracle-dz/UniFAR-FTUs huggingface dataset:
Computational analysis of spoken language in acute psychosis and mania

OBJECTIVES This study aimed to (1) determine the feasibility of collecting behavioral data from participants hospitalized with acute psychosis and (2) begin to evaluate the clinical information that can be computationally derived from such data. METHODS Behavioral data was collected across 99 sessions from 38 participants recruited from an inpatient psychiatric unit. Each session started with a semi-structured interview modeled on a typical "clinical rounds" encounter and included administration of the Positive and Negative Syndrome Scale (PANSS). ANALYSIS We quantified aspects of participants' verbal behavior during the interview using lexical, coherence, and disfluency features. We then used two complementary approaches to explore our second objective. The first approach used predictive models to estimate participants' PANSS scores from their language features. Our second approach used inferential models to quantify the relationships between individual language features and symptom measures. RESULTS Our predictive models showed promise but lacked sufficient data to achieve clinically useful accuracy. Our inferential models identified statistically significant relationships between numerous language features and symptom domains. CONCLUSION Our interview recording procedures were well-tolerated and produced adequate data for transcription and analysis. The results of our inferential modeling suggest that automatic measurements of expressive language contain signals highly relevant to the assessment of psychosis. These findings establish the potential of measuring language during a clinical interview in a naturalistic setting and generate specific hypotheses that can be tested in future studies. This, in turn, will lead to more accurate modeling and better understanding of the relationships between expressive language and psychosis.
Total flavonoid content and antioxidant activity in leaves and stems extract of cultivated and wild tabat barito (Ficus deltoidea Jack)

Tabat barito (Ficus deltoidea Jack) is a name given by Dayak Tribe who lived in Borneo-Kalimantan and it is belongs to the moraceae. Almost all of the parts of F. deltoidea plant is widely used as a medicinal property. The total flavonoid content (TFC) and antioxidant activity from cultivated and wild F. deltoidea leaves and stems extract were assessed. Total flavonoid content was estimated by using Aluminium chloride colorimetric method and expressed as catechin equivalents (mg CE g−1 extract) and the antioxidant activity by the DPPH (2,2-diphenyl-1-picryl hydrazyl) method. The content of total flavonoid of leaves and stems (430.77 and 371.80 µg CE mg−1 extract) of cultivated F. deltoidea were higher than in the wild leaves and stems (114.82 and 66.67 µg CE mg−1 extract). The IC50 of leaves extract of cultivated and wild F. deltoidea, based on the DPPH assay, has a strong antioxidant activity (34.19 and 39.31 µg mL−1 extract) as compared to stems extract. These results showed that the cultivated F. delto.
A Nonconvex Pansharpening Model With Spatial and Spectral Gradient Difference-Induced Nonconvex Sparsity Priors

This article proposed a nonconvex variational model for pansharpening with spatial and spectral gradient difference-induced nonconvex sparsity priors (PSSGDNSP), which can fuse the panchromatic (Pan) and low-resolution (LR) multispectral (MS) images to generate the high-resolution (HR) MS image. More particularly, the proposed PSSGDNSP model exploits the spatial gradient difference-induced nonconvex <inline-formula> <tex-math notation="LaTeX">$l_{1/2}$ </tex-math></inline-formula> sparsity prior between HR MS and Pan, and the spectral gradient difference-induced nonconvex <inline-formula> <tex-math notation="LaTeX">$l_{1/2}$ </tex-math></inline-formula> sparsity prior between HR and LR MS. Consequently, our proposed PSSGDNSP model well preserves both the spatial and spectral information. In fact, our proposed band-coupled model treats the MS image like a third-order tensor so that the intrinsic band correlation of the MS image can be fully kept. Moreover, we solve our proposed PSSGDNSP model by applying the alternating direction method of multipliers (ADMM) method. Finally, the experiments fully validate the superiority and performance of our proposed PSSGDNSP method.
Research on the Influence of Corporate Credit Culture on Corporate Financing Constraints--Panel data analysis based on A-share listed companies

This paper takes China’s A-share listed companies from 2009 to 2019 as a sample, uses the mixed ols model and the two-way fixed effects model to conduct empirical analysis, and finds that when the corporate integrity culture is strong, the financing constraints faced by the company are lower. This conclusion remains robust after considering endogenous issues. This research not only explores ways to alleviate corporate financing constraints from a new perspective, but also has important practical significance for improving corporate governance and promoting the effective allocation of financial market resources.
Impact of video-assisted maternal training on focused concentration of fetal movements towards maternal fetal attachment / bonding – A Randomized controlled trial in a selected tertiary care hospital, Kancheepuram district, Tamil Nadu, India

: Background: Maternal Fetal Attachment is a unique, affectionate bond developed between the pregnant women and her unborn baby, through various behavioral modifications. Focusing on the maternal fetal interactional activities such as talking to the baby, reading, singing and playing music for the baby and caressing the mother ’ s abdomen are the behavioral modifications that enhances the attachment between the pregnant women and the fetus which helps to promote maternal fetal bonding. Materials and Methods: A prospective randomized control trial with an evaluative approach was used to assess the impact of focused concentration on fetal movements towards maternal fetal attachment. 62 pregnant women with normal pregnancy in the gestational age between 28th and 32nd weeks attending the antenatal OPD were selected based on purposive sampling technique. Individualized video-assisted maternal training for 07 minutes and follow up was given and the pregnant women were evaluated after 4 weeks using the Cranley ’ s Fetal Attachment scale. Results: Impact of the maternal training revealed a statistically significant improved maternal fetal attachment from 74.52 ± 3.192 to 87.23 ± 2.202 and F ratio of 113.026. The Paired t-test values of the sub-parameters of the maternal fetal attachment were statistically significant at p < 0.001. Cohen ’ s D, d = 4.635 reveals a clinically significant improved maternal fetal attachment. Conclusion: The study findings conclude that there is a clinically significant impact of video-assisted maternal training on focused concentration of fetal movements through maternal fetal interactional activities towards improved maternal fetal attachment among pregnant women.
Subgroup-specific regression models

Data sets are becoming massive with ever increasing advances in data collection technologies and are altering the nature of biomedical research. With many techniques, these huge data sets can be challenging, or even impossible, to accurately analyse. In biomedical settings, data sets are frequently heterogeneous, with samples representing various subtypes of diseases that are thought to have variations with respect to underlying biology. A motivating example is the study of progressive diseases such as Alzheimer’s disease (AD). While there is a significant increase in the number of studies that concentrate on regression modeling of the disease progression, they ignore the fact that the pattern change are profoundly different for patients with various initial profiles. Estimating separate models for each subgroup is extremely difficult due to small sample sizes in the high-dimensional setting, but may obtain results that are more accurate and reliable. Moreover, recognizing homogeneous subgroups of predictors can be cumbersome in high-dimensional regression analysis over subgroups of samples. This thesis attempts to improve upon an established method of regularized regression for group-structured datasets by using a linear combination of two penalty functions to select predictive clusters of correlated variables, and to allow for subgroup-specific parameter estimates. In order to showcase the performance of the suggested methodology, we conducted a series of experiments on Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset including three groups of Cognitively Normal Controls (CN), Late Mild Cognitive Impairment (LMCI), and Alzheimer’s disease (AD) subjects to estimate MiniMental State Examination (MMSE) scores in multiple future time points. Results reveal the effectiveness of the suggested method in terms of Root Mean Square Error (RMSE) over several available well-known statistical methods in two subgroups, AD and LMCI. However, in CN group, our proposed method performed better than other methods at two time points. We also investigated the prediction performance of our proposed method with multiple multi-task learning regression methods.
Evaluation of Treatment and Management of Corneal Bacterial Ulcers – A Cross Sectional Study from Saudi Arabia

Objectives: To study the current practice patterns and opinions in the treatment of corneal bacterial ulcers among Saudi ophthalmologists. Methods: A web-based online survey was conducted in Saudi Arabia to randomly selected ophthalmologists who were registered with Saudi commission for health specialties during the study period between August 2018 to December 2018 using a structured self-administered questionnaire. Results: Of the respondents, general ophthalmologists were 32 (58.2%) and cornea specialists were 23 (41.8%). The mean years of practice was 6.6±6.1 [mean±SD]. Among the respondents 53 (96.4%) treated corneal ulcer cases, most of them 51 (92.7%) agreed there is a relation between the use of contact lenses and ocular ulcers. Fifty respondents indicated that they prescribed antibiotics for the treatment of corneal ulcer. About 12 (52.2%) of the cornea specialist and 22 (68.8%) of general ophthalmologists prefer to use culture of ulcer (Scrapping and gram staining of ulcer) diagnostic tests prior to treatment of corneal ulcers. Fortified antibiotic used was given higher advantage and the management of ocular ulcers differed according to the severity of each case. Conclusion: In conclusion, results found that the management of corneal ulcers varies from specialist to general ophthalmologist. All the respondents agreed that they prescribed two broad spectrum antibiotics to treat an advanced corneal ulcer. Additionally, most of the respondents believed that fourth generation fluoroquinolones were less effective in comparison to fortified, broad-spectrum antibiotics. Key words: Corneal bacterial ulcers, Antibiotics, Fluoroquinolones, Broad spectrum antibiotics, Fortified antibiotics.
THE 2α-3β-6β-23-TETRAHYDRO-OLEAN-12-EN-28-OIC ACID FROM THE LEAVES OF CHRYSOBALANUS ICACO L. ATTENUATES THE INFLAMMATORY HYPERNOCICEPTION IN MICE

Objective: The species Chrysobalanus icaco L. , popularly known as abajuru, abajeru, has frequently been associated with antiangiogenic, anti-inflammatory and antirheumatic effects. The 2α-3β-6β-23-tetrahydro-olean-12-en-28-oic acid (THOA) was isolated from the methanolic extract of Chrysobalanus icaco leaves. Thus, the aim of the study was to evaluate the antinociceptive and anti-inflammatory activities of THOA. Methods: Acetic acid-induced abdominal writhing, formalin, von frey and open field tests were performed in mice. The number of writhes, licking time, mechanical threshold and walked squares by animals were the evaluation parameters applied, respectively. In addition, quantification of IL-1β and TNF-α were also performed. The THOA was administered orally at doses of 1–10 mg/kg in male mice. In addition, water, vehicle, morphine (5.01 mg/kg), acetylsalicylic acid (100 mg/kg), and dexamethasone (2.25 mg/kg) were administered. Results: The THOA showed effect with 5 and 10 mg/kg in the acute pain induced by acetic acid (49% and 62% contortion inhibition), carrageenan (150% and 188% increase in mechanical threshold) and formalin (36% and 60% licking inhibition), respectively. These results indicate an inhibition of hyper nociception, while the reduction in the production of cytokines (TNF-α inhibition–64% and 88%; IL-1β inhibition–48% and 55%, respectively) confirmed the inflammatory inhibition by carrageenan. The THOA did not induce motor impairment. The THOA was not toxic after oral administration (LD50>50 mg/kg). Conclusion: These data provide initial evidence that THOA decreases the inflammatory hyper nociception probably by inhibition of IL-1β and TNF-α production, proving to be effective in reducing pain and inflammation.
A Study on Users' Adoption of Electronic Payment System in India.

The traditional payment system has got its own limitation to adopt recent developments in the commercial world. The growth of Electronic payment systems is inevitable in the Indian industrial and business scenario. Digital India movement of Indian Government also focuses move towards E-Payment systems. Technology has immense contribution to the growth and development of the banking sector. There have been massive changes in the concept of banking after the digitalization of India's banking sector. Commercial banks in India are facilitating their customers to develop a convenient platform for EPayment system. In this present study, the researcher studied the relationship between the seven factors technological factors, security, Trust, social influence, internet connectivity, Perceived ease of use, Perceived Usefulness, and Intention to use to measure the adoption of e-payment systems in Madurai district. The study results show that Trust, Perceived Usefulness, and perceived ease of use are statistically significant, indicating that this variable has a positive effect on Intention to use e-payment.
Nutritional inequalities among under-5 children: An analysis of cross-country and within-country hotspots and cold spots in the developing world

Undernutrition of under-five children is a severe public health issue of the developing world. Around 45% of deaths among children under five years are linked to undernutrition. According to 2019 global estimates, 21% of under-five children were stunted, 7% were wasted, and 13% were underweight in 2019. However, there are wide disparities in the distribution of undernutrition within countries and across countries. As an illustration, 38% of under-five children in Pakistan are stunted. However, the stunting rate in Islamabad Capital Territory is 24% but 52% in FATA, according to Demographic and Health Surveys (DHS) data. Such disparities in undernutrition may reflect policy failures or the genetic vulnerabilities of population subgroups. To the best of our knowledge, very few studies have analyzed the geography of the undernutrition inequalities among under-five children. We analyzed the geographical patterns in child undernutrition in developing countries. First, we mapped the prevalence of undernutrition in the developing world. Secondly, using the LISA (local indicator of spatial association) technique, we analyzed the geographical patterns in the distribution of undernutrition to highlight the localized hotspots (regions with high undernutrition prevalence surrounded by similar other regions), cold spots (regions with low undernutrition prevalence surrounded by similar other regions), and outliers (regions with high undernutrition surrounded by low undernutrition and vice versa showing inequalities in the distribution in undernutrition). Additionally, we used Moran’s I to find global patterns in malnutrition.We used data from Demographic and Health Surveys (DHS) data from 73 developing countries for our study.The Global Moran’s I and LISA techniques used to estimate the global and within-country malnutrition patterns, respectively, confirm significant spatial clustering of malnutrition among under-five children. South Asia and Sub-Saharan Africa are global hotspots of child malnutrition, and Latin America and the Caribbean, and Europe and Central Asia are global cold spots of child malnutrition. There are few outliers: areas of low child malnutrition surrounded by high malnutrition and vice versa. One important policy implication of this study is that it will help identify the areas with i) high undernutrition and ii) high nutritional inequalities and help targeted health interventions in the geographical areas with a high need population.
Dış Borç ve Ekonomik Büyüme İlişkisi: Kamu ve Özel Sektör Dış Borçları Açısından BRICS-T Ülkeleri Analizi

Bu calismada, 1997-2019 yillari arasinda BRICS-T ulkelerinde dis borc bilesenlerinin (Kamu ve ozel sektor dis borclari) ekonomik buyume uzerindeki etkisi incelenmistir. Degiskenler arasindaki uzun ve kisa donemli iliski Havuzlanmis Ortalama Grup (PMG) Tahmincisi ile incelenmistir. PMG tahmincisinden elde edilen sonuclara gore tum ulkeler bazinda toplam dis borc, kamu dis borcu ve ozel sektor dis borcunun ekonomik buyume uzerinde uzun donemde negatif etki gosterdigi tespit edilmistir. Ayrica, ekonomik buyume uzerinde en yuksek olumsuz etkiye sahip borc bileseni kamu dis borclaridir. Arastirmanin ampirik sonuclari, borcluluk duzeyi yuksek olan ulkelerin ekonomik buyume olanaklarinin kisitlanacagini savunan “Borc Fazlasi Hipotezi” ile uyumludur.
The effects of 5-hydroxytryptophan on carrageenan-induced mouse paw oedemas

ABSTRACT Objective 5-Hydroxytryptophan is the precursor compound of serotonin biosynthesis. The oral absorption of 5-Hydroxytryptophan is close to 100% and, unlike serotonin, it crosses the blood-brain barrier freely. 5-Hydroxytryptophan has been used as a food supplement for many years to treat anxiety and depression. Recent studies have shown that 5-Hydroxytryptophan suppresses the pro-inflammatory mediators and is effective in some inflammatory diseases, such as arthritis and allergic asthma. However, the role of 5-Hydroxytryptophan supplements on acute peripheral inflammation has not been investigated yet. In this study, the in vivo anti-inflammatory activity of 5-Hydroxytryptophan was evaluated with a carrageenan-induced paw oedema test in mice. Methods For the investigation of the acute antiinflammatory activity, single oral doses of 5-Hydroxytryptophan (1.5, 5 and 20mg/kg) were given to mice 1.5 hours prior to the carrageenan test. For chronic activity, the same oral doses were administered daily for two weeks prior to the carrageenan test on the 14th day. To induce inflammation, 0.01mL of 2% carrageenan was injected into the paws of mice. Results Supplementation with 5-Hydroxytryptophan significantly reduced inflammation in a dose-independent manner which was irrespective of the duration of exposure (per cent inhibition in acute experiments was 35.4%, 20.9%, 24.0%, and per cent inhibition in chronic experiments was 29.5%, 35.3%, 40.8% for the doses of 1.5, 5, and 20mg/kg, respectively). Conclusion Our findings demonstrate for the first time that 5-HTP supplements have the potential of suppressing the measures of acute peripheral inflammation. It is suggested that, apart from several diseases where serotonin is believed to play an important role, including depression, patients with inflammatory conditions may also benefit from 5-HTP.
Covid-19 durante el embarazo: revisión rápida y metaanálisis

Objetivo. Resumir la evidencia científica sobre efectos maternos y neonatales del Covid-19 durante el embarazo. Material y métodos. Se realizó una revisión rápida Cochrane y un metaanálisis de proporciones y razones de momios (RM). Resultados. Los eventos maternos más comunes fueron la ventilación mecánica invasiva y admisión a la unidad de cuidados intensivos (UCI); las complicaciones del embarazo fueron el sufrimiento fetal y la ruptura prematura de membranas; las comorbilidades fueron la obesidad y el asma. Las cesáreas indicadas por Covid-19 fueron frecuentes (51%). Los eventos neonatales comunes fueron bajo peso y prematuridad; se identificaron neonatos SARS-CoV-2 posi-tivos (14%). Las embarazadas con Covid-19 experimentaron más cesáreas (RM combinada=6.7) y partos pretérmino (RM combinada=2.9); los neonatos experimentaron más admisio-nes a la UCI neonatal (RM combinada=5.9). Conclusión. La evidencia sobre los efectos adversos del Covid-19 durante el embarazo es limitada. No se pueden descartar riesgos a la salud del binomio, particularmente debido a las cesáreas y prematuridad.
An Efficient Signature Scheme Based on Mobile Edge Computing in the NDN-IoT Environment

Named data networking (NDN) is an emerging information-centric networking paradigm, in which the Internet of Things (IoT) achieves excellent scalability. Recent literature proposes the concept of NDN-IoT, which maximizes the expansion of IoT applications by deploying NDN in the IoT. In the NDN, the security is built into the network by embedding a public signature in each data package to verify the authenticity and integrity of the content. However, signature schemes in the NDN-IoT environment are facing several challenges, such as signing security challenge for resource-constrained IoT end devices (EDs) and verification efficiency challenge for NDN routers. This article mainly studies the data package authentication scheme in the package-level security mechanism. Based on mobile edge computing (MEC), an efficient certificateless group signature scheme featured with anonymity, unforgeability, traceability, and key escrow resilience is proposed. The regional and edge architecture is utilized to solve the device management problem of IoT, reducing the risks of content pollution attacks from the data source. By offloading signature pressure to MEC servers, the contradiction between heavy overhead and shortage of ED resources is avoided. Moreover, the verification efficiency in NDN router is much improved via batch verification in the proposed scheme. Both security analysis and experimental simulations show that the proposed MEC-based certificateless group signature scheme is provably secure and practical.
Multi-Instant Gain-Scheduling Stabilization of Discrete-Time Takagi–Sugeno Fuzzy Systems Based on a Time-Variant Balanced Matrix Approach

This article is devoted to the development of multi-instant gain-scheduling stabilization of discrete-time Takagi–Sugeno fuzzy systems by developing a time-variant balanced matrix approach. Many of the reported advances have provided more and more relaxed results via choosing higher order dependent gain matrices, which will be a trouble in the case of real-time implementation. Therefore, a multi-instant gain-scheduling fuzzy state-feedback controller with different working modes is given to stabilize the closed-loop systems by updating the enabled pair of lower order gain matrices in cycle. For each possible working mode, the real-time situation information of the normalized fuzzy weighting functions can be fully considered by using a set of time-variant balanced matrices in accordance to certain rules and, thus, much freedom is introduced for proposing less conservative results. More importantly, our relaxed result is obtained without requiring higher order dependent gain matrices than the existing ones, i.e., its conservatism is reduced in a more meaningful way and thus it is more conducive to real-time implementation. Finally, both the effectiveness and the superiority of the proposed results are discussed and validated in the numerical section.