Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical exercise for the management of systemic autoimmune myopathies: recent findings, and future perspectives

Supplemental Digital Content is available in the text Purpose of review The aim of this review is to present the main pieces of evidence, recent literature and to present future perspectives on the use of exercise/physical training in the treatment and improvement of the quality of life of patients with systemic autoimmune myopathies. Recent findings In the last decades, knowledge about the relevance of physical exercise training in preventing and treating chronic diseases and improving quality of life has grown. Following the global trend exemplified by the expression ‘exercise is medicine’, the importance of exercise/physical training has also grown in myopathies. However, the science of exercise has a lot to collaborate on and improve patients’ quality of life with myopathies by appropriating new technological tools, including accessible and low-cost devices and smartphone apps. Summary Physical exercise, as already consolidated in the literature, is an effective, well tolerated, and low-cost strategy for patients with myopathies. The use of wearable devices, smartphone apps, and online training prescriptions must accompany the global scenario, bringing new research fields and expanding the options for access to training for the individualized basis, and prescribed by qualified professionals.
INTERNATIONAL SEMINAR OF GENDER, MATERNAL, EQUITY AND CHILD HEALTH

Introduction: Breastmilk is the first food for newborns and is the main nutrition for babies. The low level of exclusive breastfeeding is due to the lack of knowledge of mothers about exclusive breastfeeding. Therefore, in order for mother's knowledge to be good, it can be done by providing education about exclusive breastfeeding. The purpose of this study was to determine the effect of providing education using online media for pregnant women on the knowledge of mothers in breastfeeding, self-efficacy and the success of breastfeeding alone for one month. Methods: This study used a quasi-experimental design with a pre and post-test nonequivalent control group approach. The sampling technique used probability sampling, which consisted of 44 pregnant women in the third trimester. Collection using a questionnaire and analyzed using the chi square test with a significance level of α ≤ 0.05. Results: This study shows that there is no significant relationship between the provision of online education and maternal knowledge with a p value of 0.056 (α ≥ 0.05). There is a significant relationship between providing online education with maternal self-efficacy with a p value of 0.001 (α ≤ 0.05). There was no significant relationship between the provision of education and the success of breastfeeding for 1 month with a p value of 0.186 (α ≥ 0.05). Conclusion: It is suggested that health walkers can increase educational activities regarding exclusive breastfeeding by using any method and in an appropriate, structured and continuous way with direct or indirect interactions so that the knowledge and self-efficacy of mothers about exclusive breastfeeding will be better.
Lessons from DSLR Photometry of b Per “Third Star” Eclipse (February 2018)

Photometry of the “third star” eclipse of b Per was done using an 80mm refractor and Canon EOS/Rebel DSLR. The observing run provided a clear view of the beginning of the “third star” eclipse, and a fair lightcurve of the ellipsoidal variation of the inner binary pair. This project also provided a case study in some well-known considerations for DSLR photometry of bright variable stars: the interplay of exposure duration, de-focus, and camera linear range; selection of the size of the measuring aperture; the risk that the size and shape of the PSF might vary across a relatively wide field-of-view; and the merit of averaging/binning observations to reduce photometric scatter. In this case, everything went very well, and provided excellent internal consistency and photometric precision of 0.01 mag over 10 nights of observing.
DEPRESSION DETECTION USING ARTIFICIAL INTELLIGENCE THROUGH VOCAL AND VISUAL EXPRESSIONS

-Depression is a major mental health disorder that is rapidly affecting lives worldwide. Depression not only impacts emotional but also physical and psychological state of the person. Its symptoms include lack of interest in daily activities, feeling low, anxiety and frustration, loss of weight and even feeling of self-hatred. Our contribution, an artificial intelligent system is proposed to monitor depression. It can predict the scales of Beck depression inventory II (BDI-II) from vocal and visual expressions. First, different visual features are extracted from facial expression images. Deep learning method is utilized to extract key visual features from the facial expression frames. Second, spectral low level descriptors and mel-frequency cepstral coefficients features are extracted from short text segments to capture the vocal expressions.
INTRINSIC BRIGHTNESS TEMPERATURES OF COMPACT RADIO JETS

We present results of our investigation of the radio intrinsic brightness temperatures of compact radio jets. The intrinsic brightness temperatures of about 100 compact radio jets at 2, 5, 8, 15, and 86 GHz are estimated based on large VLBI surveys conducted in 2001-2003 (or in 1996 for the 5 GHz sample). The multi-frequency intrinsic brightness temperatures of the sample of jets are determined by a statistical method relating the observed brightness temperatures with the maximal apparent jet speeds, assuming one representative intrinsic brightness temperature for a sample of jets at each observing frequency. By investigating the observed brightness temperatures at 15 GHz in multiple epochs, we find that the determination of the intrinsic brightness temperature for our sample is affected by the flux density variability of individual jets at time scales of a few years. This implies that it is important to use contemporaneous VLBI observations for the multi-frequency analysis of intrinsic brightness temperatures. Since our analysis is based on the VLBI observations conducted in 2001-2003, the results are not strongly affected by the flux density variability. We find that the intrinsic brightness temperature T0 increases as T0 ∝ ν ξ obs with ξ = 0.7 below a critical frequency νc ≈ 9 GHz where the energy loss begins to dominate the emission. Above νc, T0 decreases with ξ = −1.2, supporting the decelerating jet model or particle cascade model. We also find that the peak value of T0 ≈ 3.4 × 10 10 K is close to the equipartition temperature, implying that the VLBI cores observable at 2-86 GHz may be representing jet regions where the magnetic field energy dominates the total energy in jets.
The Capability of Biochar-Based CaAl and MgAl Composite Materials as Adsorbent for Removal Cr(VI) in Aqueous Solution

The development of layered double hydroxide materials into composites with carbon-based materials in the form of CaAl-Biochar and MgAl-Biochar has been successfully carried out. The success parameters of the preparation process include XRD, FT-IR, Adsorption-Desorption N2, SEM, and TG-DTA. The success through XRD is evidenced by the appearance of the typical diffraction peaks of double-layer hydroxy around 2? = 11°(003), 20°(006), and 60°(113). In addition, there is diffraction around 22°(002) which is the typical diffraction of biochar. FT-IR analysis showed successful preparation in the presence of functional groups around 1381cm−1 which indicated nitrate vibrations from double-layer hydroxy. Another spectrum that also appears on 1103 cm−1 is a characteristic of biochar (? Si-O-Si). Adsorption-Desorption N2 analysis showed that the surface area data of 2 −1 2 −1 CaAl-Biochar was greater than MgAl-Biochar, which were 150.987 m . g and 111,404 m . g , respectively. The adsorption capacity of CaAl-Biochar reached 588.235 mg.g−1 and 426.316 mg.g−1 for MgAl-Biochar. The adsorbent materials of CaAl, MgAl, Biochar, CaAl-Biochar, and MgAl-Biochar tend to follow the Langmuir isotherm model with adsorption processes that tend to be spontaneous. The results of regeneration of the composite material lasted up to 5 cycles. The first cycle of CaAl-Biochar reached 96.647% to 82.666% in the last cycle, while MgAl-Biochar reached 90.885% in the first cycle to 73.454% in the last cycle.
Analysis of Uplink co-channel Interference on Cell Coverage for a Six Sectoring Antenna pattern in an IEEE 802.16m System

- A analytical system design model is proposed to estimate the uplink co-channel interference (CCI) on cell coverage and achieve a high capacity in an IEEE 802.16m system. To achieve high system capacity a six-sector antenna patterns is introduced in IEEE 802.16m system. This proposed model is based on signal-to-interference-plus-noise (SINR) requirement, which satisfies each mobile user’s minimum SINR requirement. The shadow fading effect and random location of mobile users are taken into consideration to calculate average interference power. The simulation results suggest that increment of outage probability due to CCI can leads to reduction in cell coverage. The proposed model helps to build an advanced 4G network including LTE and WiMAX.
Ethnobotanical survey and phytochemical screening of anti-snakebite plants used in Bissok District of Gabon

Abstract. Mengome, Mewono L, Mboma R, Engohang-Ndong J, Angone SA. 2021. Ethnobotanical survey and phytochemical screening of anti-snakebite plants used in Bissok District of Gabon. Biodiversitas 22: 3264-3275. Snakebites remain a major health issue in tropical and subtropical regions in the world. The limited access of antivenom sera in remote areas of many countries forces populations to rely on plant-based remedies to manage snakebite-induced injury. In this study, we conducted an ethnobotanical survey of medicinal plants used for the management of snakebites in the district of Bissok (Northern Gabon). After collecting and verifying the authenticity of the plants, we further performed their phytochemical analysis. The procedure used in this study involved a structured questionnaire and direct interviews of local populations. Overall, data collected on-site included local names, the part of the plant used, the preparation, and the route of administration. The presence of some phytochemical compounds was determined according to standard methods. Overall, a total of 29 species of plants belonging to 20 different families were reported to be used to treat snakebites. The plants used were herbs (44.80%), trees (24.10%), shrubs (20.70%), liana (10.30%), and rhizomes (6.90%). They were mainly used as poultice or crush, and to a lesser extent as decoction and maceration. Regarding the route of administration, interviewees reported mainly external use on the site of the bite. Concerning the chemical composition, we found that the antivenom plants were rich in chemical compounds known to have antivenom, antipyretic and antimicrobial properties, e.g. alkaloids, terpenoids, flavonoids, steroids, coumarins, phenols, tannins gallic Our results open avenues to develop venom enzyme inhibitory assays.
An Assessment of Accessibility and Location

Individuals regard safety as a key factor when looking for a home to buy or rent (Fransson, Rosenqvist, & Turner, 2002; Gibbons, 2004; Larsson, Landström, & Sandin, 2008). Although accessibility is also highly valued in the housing market, researchers and policymakers have acknowledged the negative aspects of transportation systems, such as crime, and their impact on housing markets (Boymal, Silva, & Liu, 2013; Ceccato, 2013; Ceccato, Cats, & Wang, 2015). Yet the interaction of accessibility and crime in determining housing preferences is still not well understood (Boymal et al., 2013; Ceccato & Wilhelmsson, 2011; Weisbrod, BenAkiva, & Lerman, 1980), because individuals make choices based on a series of housing characteristics, neighborhood features, job accessibility, and transportation tradeoffs (Weisbrod et al., 1980). In this study, we aim to contribute to this literature by assessing the impact of crime and accessibility on housing prices. Accessibility is expected to have a positive impact on housing prices, but good accessibility to a place may also mean more crime, because an accessible place allows more social interaction, more crime opportunities, and more crime, pulling housing prices down. Individuals make choices based on a tradeoff between accessibility and criminality. Using hedonic modeling, we empirically assess this tradeoff after controlling for other property and neighborhood characteristics. In particular, we assess the effect of residential burglary on apartment prices in Stockholm, building on previous research (Ceccato & Wilhelmsson, 2011) that indicated residential burglary— not violence or vandalism— had the greatest effect on apartment prices in the Swedish capital. We assume that residential burglary has such an effect on housing prices because targets of this type of crime always include victims’ most private OUP UNCORRECTED PROOF – FIRSTPROOFS, Mon Oct 16 2017, NEWGEN
Development of an autism screening classification model for toddlers

Autism spectrum disorder ASD is a neurodevelopmental disorder associated with challenges in communication, social interaction, and repetitive behaviors. Getting a clear diagnosis for a child is necessary for starting early intervention and having access to therapy services. However, there are many barriers that hinder the screening of these kids for autism at an early stage which might delay further the access to therapeutic interventions. One promising direction for improving the efficiency and accuracy of ASD detection in toddlers is the use of machine learning techniques to build classifiers that serve the purpose. This paper contributes to this area and uses the data developed by Dr. Fadi Fayez Thabtah to train and test various machine learning classifiers for the early ASD screening. Based on various attributes, three models have been trained and compared which are Decision tree C4.5, Random Forest, and Neural Network. The three models provided very good accuracies based on testing data, however, it is the Neural Network that outperformed the other two models. This work contributes to the early screening of toddlers by helping identify those who have ASD traits and should pursue formal clinical diagnosis.
CHEMICAL CONSTITUENTS AND NUTRIENT COMPOSITION OF Carica papaya

4 The present study evaluates the chemical constituents and nutrient composition of aqueous 5 leaf extracts of Carica papaya and Vernonia amygdalina. The chemical constituents were 6 analysed using gas chromatography mass spectroscopy (GC-MS). The constituents of C. 7 papaya leaf extract showed twenty constituents, which was found to be dominated by Oleic 8 acid (28.98%) with molecular weight of 282, with the least compound Trans-Geranylacetone 9 (0.17%), with molecular weight of 194. However, V. amygdalina leaf extracts presents 10 sixteen constituents which was dominated with 9-octadecenoic acid (35.18%), with molecular 11 weight of 282, and Methyl tridecanoate (0.45%) as the least compound. The proximate 12 analysis, showed a significant decreased (P<0.05) in the level of moisture, ash, crude protein 13 and crude fibre between the plants. The anti-nutrient analyses present significant differences 14 (P<0.05) in oxalate, phytate and flavonoid. Evaluation of mineral composition showed that 15 magnesium, calcium and zinc have significant difference (P< 0.05) between V. amygdalina 16 and C. papaya, while no significant difference was observed for the levels of cupper, 17 cadmium, iron and cobalt. Some in-vivo work is being carried out to establish the activity of 18 the crude and purify component(s) as antimalarial, antioxidant, anticancer and 19 antitrypanosomiasis agent, as most of the identified compounds are cited in the literature for 20 their antimicrobial, antifungal, antioxidant, anti-cancer and anti-inflammatory properties. 21
SJOVS, July 2021, Vol. 14, No. 1

Whilst Italian optometrists refract patients and prescribe optical appliances, it is ophthalmologists who are responsible for the detection, diagnosis, and treatment of ocular pathology. In settings with similar scope of practice, close collaboration between optometrists and ophthalmologists is required to minimise avoidable visual impairment. Referral to ophthalmology represents the basis of this synergy, yet no formal guidance is available to Italian optometrists indicating when referrals are warranted. This study aimed to identify circumstances deserving a referral in a routine Italian optometric examination in adults, constituting preliminary evidence-based indications of a referral model. A literature review was conducted using Pubmed and the Cochrane Library. To derive clinical guidance, the main focus was high quality secondary literature such as systematic reviews and clinical guidelines. Several signs and symptoms detected during a routine Italian optometric exam might constitute reasons for referral. Further, while awide range of anomalies of the visual systemare likely to be detected by the exam, up to 19% of patients could suffer an asymptomatic condition potentially undetected by the current assessment. This results in the need to refer seemingly healthy patients if they have not attended routine ophthalmological examinations within optimal time frames. The current training and scope of practice of Italian optometrists requires close collaboration with ophthalmologists to safeguard the ocular health of patients. Referral is a fundamental instrument that in Italy, and countries with similar settings, optometrists must use to enable early diagnosis and treatment of ocular conditions by ophthalmologists. We have presented a preliminary evidence-based framework for optometric referral which identifies categories constituting reasons for referral. This has the potential of standardising optometric practice, enhancing optometry-ophthalmology synergism and, more importantly, improving ocular and general wellbeing of patients.
Supplementation of Diet With Microbial And Thermo-Stable 6-Phytase With Recommended And Deficient CA and P Level on Broiler Performance

An experiment was carried out to investigate the performances with 1080 male Cobb-500 broiler chicks using different levels of a microbial phytase in plantbased diet. Six dietary treatments were formulated as follows; the first 3 diets were balanced with Ca and Av. P according to the recommendation of Cobb-500 served as basal diet without phytase enzyme (T1), basal diet with 100g phytase ton-1 feed (T2) and basal diet with 200g phytase ton-1 feed (T3), while the last 3 diets were deficient in Ca and Av. P and containing no phytase enzyme (T4), diet with 100g phytase/ton feed (T5) and diet with 200g phytase ton-1 feed (T6). All 6 treatments were replicated 6 times. Body weight, feed consumption and mortality of broilers were recorded weekly. The highest body weight was found in T3 with 200g phytase ton-1 feed with recommended Ca and Av. P level in the diet, followed by T6 with 200g phytase/ton feed with deficient in Ca and Av. P level in the diet (P<0.05). The lowest weight was found in T1 without phytase with recommended Ca and Av. P level in the diet. The feed consumption, feed conversion ratio and mortality of the birds during 35 days of experimental period did not differ significantly (P<0.05). The meat yield characteristics at 35 days of age were non-significant among different treatments (P>0.05). Significantly lower value of total ash (%), Ca (%) and total P (%) of tibia was found in control group (T1) and T4. The results of this experiment revealed that phytase supplementation at 200g ton-1 of feed improved broiler performances at either recommended or deficient level of Ca and Av. P. SAARC J. Agric. , 19(1): 211-222 (2021)
Adapting Supervised Feature Selection Methods for Clustering Tasks

In this paper, we elaborate on how feature selection methods traditionally used in classiﬁcation problems can be adapted for clustering problems, assuming that the number of clusters is not known a priori. Computational complexity of each described algorithm is provided. Empirical results in six bioinformatics datasets illustrate that the adaptation of four well-known supervised methods for feature selection (correlation-based, consistency-based, wrapper of k-NN classiﬁer, and C4.5) can be useful for clustering tasks.
BRICS and G7: does the association between contingency factors and competitive strategies influence corporate financial performance?

The purpose of this study was to analyze the relationship between competitive strategy and contingency factors on the financial performance of companies located in member countries of the BRICS and the G7. The research sample comprised 775 companies (5,425 observations), 172 of which were located in China, 33 in India, 48 in Germany, 25 in Canada, 307 in the United States of America, 169 in Japan, and 21 in the United Kingdom. Dynamic panel data models were applied to estimate the relationships between the research variables. The evidence found suggests that competitive strategies (cost leadership and differentiation) can moderate the effects of contingency factors on the financial performance of companies, considering the environment in which they operate (BRICS or G7 member countries).
A Modified Design of Class-E Power Amplifier with Balanced FETs and High Output Power for RFID Applications

In Radio Frequency (RF) communication, a Power Amplifier (PA) is used to amplify the signal at the required power level with less utilization of Direct Current (DC) power. The main characteristic of class-E PA is sturdy nonlinearity due to the switching mode action. In this study, a modified design of class-E PA with balanced Metal Oxide Semiconductor Field Effect Transistors (MOSFETs) and high output power for Electronic Article Surveillance (EAS) Radio Frequency Identification (RFID) application is presented. MOSFETs are adjusted to have high output performance of about 80% for RFID-based EAS system. A matching network is also proposed for accurate matching because there are differences in the behavior between RF waves and low frequency waves. The design of a matching network is a tradeoff among the complexity, adjustability, implementation, and bandwidth for the required output power and frequency. The implemented PA is capable of providing 44.8 dBm output power with Power-Added Efficiency (PAE) of 78.5% at 7.7 MHz to 8.7 MHz.
A density functional theory study on the oxidation behavior of Mg and Mg-Zn alloys

Diese Arbeit stellt eine sorgfaltige Untersuchung der Wechsel-wirkungen zwischen den Oberflachen von Mg und Mg-Zn Legierung mit oxidierenden Stoffen, wie es die elektronegativen Elemente N, O, F und Cl, sowie Wasser sind. Die verwendeten Dichtefunktionaltheorie (DFT) Berechnungen erlauben eine prazise Analyse der Elektronenstruktur und um den fruhen Beginn der Mg Korrosion zu erklaren. Durch Kombination der DFT Rechnungen mit Thermodynamik erlaubt es ein Pourbaix Diagramm fur die Mg Oberflache zu erstellen, welches den Vergleich mit Experimenten und beobachteten Korrosionsprodukten ermoglicht. Des Weiteren, wird das gangige experimentelle Konzept von Korrosionsresistenz auf drei gut-definierten Indikatoren, welche DFT Rechnungen zuganglich sind, abgebildet, welche darauf hindeuten, dass in dem Mg-Zn System Oxidfilme mit Schutzwirkung entstehen. Die Methoden, welche in der Arbeit verwendet werden sind allgemein, und lassen sich leicht auf Studien anderer Systeme ubertragen.