Miracle-dz/UniFAR-FTUs huggingface dataset:
Behavior Problems and Social Competence in Fragile X Syndrome: A Systematic Review

Fragile X syndrome (FXS) causes intellectual disability and is the known leading cause of autism. Common problems in FXS include behavior and social problems. Along with syndromic characteristics and autism comorbidity, environmental factors might influence these difficulties. This systematic review focuses on the last 20 years of studies concerning behavior and social problems in FXS, considering environmental and personal variables that might influence both problems. Three databases were reviewed, leading to fifty-one studies meeting the inclusion criteria. Attention deficit hyperactivity disorder (ADHD) problems remain the greatest behavior problems, with behavioral problems and social competence being stable during the 20 years. Some developmental trajectories might have changed due to higher methodological control, such as aggressive behavior and attention problems. The socialization trajectory from childhood to adolescence remains unclear. Comorbidity with autism in individuals with FXS increased behavior problems and worsened social competence profiles. At the same time, comparisons between individuals with comorbid FXS and autism and individuals with autism might help define the comorbid phenotype. Environmental factors and parental characteristics influenced behavior problems and social competence. Higher methodological control is needed in studies including autism symptomatology and parental characteristics. More studies comparing autism in FXS with idiopathic autism are needed to discern differences between conditions.
Prediction of high-temperature superconductivity in 
C2/c−24
 solid hydrogen

Recent experimental developments in hydrogen-rich materials in high pressures have put this class of materials above others in the race toward room temperature superconductivity. As it is the basis of all the materials in this class, the efforts to determine the properties of pure solid hydrogen at high pressures remain intense. Most notably, a recent experimental study of the metallization of hydrogen identified the crystal phase of the solid as the C2/c-24 molecular phase up to ~425 GPa. It is possible that the observed metallization is caused by band structure effects and not a structural phase transition, and the material remains in this crystal phase up to higher pressures. Therefore it is of crucial importance to determine the superconducting properties of the C2/c-24 phase. Here, we employ a Wannier function-based dense k-point and q-point sampling to compute the electron-phonon coupling and superconducting properties of molecular hydrogen in the C2/c-24 phase. We find that the material has a high superconducting transition temperature of 242 K at 500 GPa. We also find that the transition temperature rapidly increases with pressure in the 400 - 500 GPa range.
Influenza Vaccination Coverage, Motivators for, and Barriers to Influenza Vaccination among Healthcare Workers in Wroclaw, Poland

Background: Influenza vaccination, as a key element of control activities intended to prevent nosocomial influenza transmission, is recommended each year for all healthcare workers (HCWs). The objectives were to determine the rate of influenza vaccination and to identify reasons for receiving or declining the influenza vaccine among HCWs in the 2018/19 and 2019/20 influenza seasons. Methods: This study is a cross-sectional observational study carried out between January and March 2020, in 2 hospitals and 15 primary health-care settings (PHCS) in Wroclaw (Poland). Results: A total of 165 questionnaires were completed. The majority of participating HCWs were female—137 (83.0%), and, by profession, the majority were physicians 92 (55.8%). Influenza vaccination coverage was 61.2% in 2019/20, and 47.9% in the 2018/19 season for all participants. Participants who were male, physicians and personnel from PHCS were more frequently vaccinated in both seasons. According to the statistical analysis, physicians were more likely to receive vaccinations than nurses (p < 0.01), as were HCWs who had been vaccinated in the previous season (p < 0.001). Conclusion: The identified barriers were mainly caused by misconceptions (fear of vaccine adverse effects and perception of not being at risk/no need to get vaccinated) and an organizational barriers (lack of time). These findings may prove useful for designing immunization campaigns to tailor strategies to reach specific groups.
Signaling of vitamin D receptor, 1 alpha-hydroxylase and RANTES genes in dairy cows with hypocalcaemia

The aim of the current study focused on screening the signal of the vitamin D receptor (VDR), 1-alpha-hydroxylase (1α-OHase) enzyme, and chemokine regulated on activation, normal T-cell expressed and secreted (RANTES) genes in dairy cows with hypocalcaemia. A sample of 120 dairy cows (20 dairy cows per herd) in the transition period was studied. Blood samples were drawn from the selected dairy cows for both biochemical and molecular analysis. In cows with subclinical and clinical hypocalcemia, there was a significant (P<0.05) down-regulation of both VDR and RANTES genes, whereas there was a significant (P<0.05) up-regulation of the 1α-OHase enzyme. Moreover, there was a significant (P<0.05) increase in the levels of glucose, parathyroid hormone (PTH), sodium (Na), and chloride (Cl). Furthermore, there was a significant (P<0.05) decrease in the levels of phosphorous and potassium (K). On the animal level, there was a significant association between the expression pattern of the VDR gene and the cows’ breed, the cows’ age, parity number, body condition score, and history of previous transition period disorders. The increase in both the expression of 1α-OHase enzyme and the level of each of PTH, glucose, Na, and Cl in the serum were significant risk factors for the decreased expression of the VDR gene. Likewise, the decrease in both the expression of the RANTES gene and the level of calcium (Ca) and phosphorous in the serum were significant risk factors for decreased expression of the VDR gene. This study revealed that the expression of VDR, 1α-OHase enzyme, and RANTES genes in the blood was greatly affected in dairy cows with hypocalcemia, indicating the need for an extra dose of vitamin D to maintain the normal level of Ca in the blood, especially during periods of high need. Hence, this study provides an insight into the role of vitamin D and its related enzymes in promoting the productivity of dairy cows, especially during the critical production periods.
Emotion Recognition by Discriminating EEG Segments With High Affective Content From Automatically Selected Relevant Channels

In EEG-based emotion recognition, subject’s affective responses are captured by several channels (scalp level) by presenting target stimuli. However, the emotional responses are inconsistent throughout the acquired signal, and rather, it arises at certain duration with high prominence on certain channels. However, existing studies ignored this vital issue and considered the entire acquired signal for processing leading to inaccurate results. Therefore, this work proposes emotion recognition by identifying highly affective EEG segments from automatically chosen relevant channels based on instantaneous phase synchronization measurement among all channels involving Hilbert transform and phase locking values followed by a majority voting algorithm. Next, a random matrix theory discriminates the appropriate segments whose power spectral density has been used in the <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-NN-based classification. Experimental validation has been performed using the EEG dataset from SEED (with positive, neutral, and negative emotions). Five EEG subbands (<inline-formula> <tex-math notation="LaTeX">$\delta $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\theta $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">$\gamma$ </tex-math></inline-formula>) are exclusively examined for their high correlation with emotions. The analyses include distinguishing proper segment lengths and their locations, minimum dominant channels while achieving the best classification for individual subband. The proposed method achieved the highest classification accuracy of up to 95% for higher frequency subbands (<inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\gamma$ </tex-math></inline-formula>) with 15 channels. Furthermore, the segment locations for positive and neutral emotions lie from start till 75% of the entire experiment time, whereas, for negative emotion, it is 25%–75%. Moreover, channels from the left frontal, central, and temporal regions are found very active, which is steady. In a comparative study, the proposed idea demonstrates its superiority by displaying the highest efficiency considering less data from minimum channels.
ENHANCING STUDENTS’ ACHIEVEMENT AND INVESTIGATING STUDENTS’ SATISFACTION IN LEARNING MATHEMATICS BY USING FLIPPED CLASSROOM

The objectives of this classroom action research were to enhance students’ mathematical achievement and to survey students’ satisfaction in learning by using flipped classroom. The participants were 32 grade 11 students who enrolled in the second semester of the academic year 2019 at a high school. The topic used in this study was Vectors in Three Dimensions. The instruments were 7 lesson plans, achievement test and satisfaction survey. Learning management by using flipped classroom comprised 3 steps: 1) before class, students studied online learning through video clips, handouts and quizzes, 2) during class, teacher reviewed key concepts and students discussed the contents that they had studied from home, solved harder problems, and got individual help from teacher and 3) additional skills or extended knowledge. Data were collected from pretest, posttest, and satisfaction survey. Data were analyzed by using Effectiveness Index, mean, percentage, mode, and standard deviation. The results showed that: 1) the Effectiveness Index of the flipped classroom was 0.8 which revealed that students’ achievement was increased 0.8 from the beginning and 2) students’ satisfactions in three categories: students’ understanding category, learning activities category, and learning atmosphere category by using flipped classroom were at satisfied, satisfied, and very satisfied, respectively.
The Potential of Fully Polarized ALOS-2 Data for Estimating Forest Above-Ground Biomass

SAR data have a longer wavelength and stronger penetrating power compared with traditional optical remote sensing. Therefore, SAR data are more suitable for the estimation of the above-ground biomass (AGB) of forests. This study was aimed at evaluating the sensitivity of L-band full polarization data to AGB. L-band data were improved to estimate the saturation point produced by AGB, and were found to be suitable for estimating a wide range of AGB. This study extracted backscattering coefficients, polarization decomposition variables, and terrain factors. New parameters were constructed from these variables, and their performance in predicting AGB was evaluated. Significant variables found with AGB were added to the multivariate linear model. A statistical analysis showed the presence of multicollinearity between the variables. Therefore, ridge regression, random forest method (RF), and principal component analysis (PCA) were introduced to solve the problem of collinearity. In all the three methods, the saturation of the ridge regression model was low, reaching it at 150 t/ha. Better accuracy was obtained with the RF model. No obvious saturation incident was detected in the model established using the principal component analysis. This could be attributed to the low biomass levels observed in our study area. This model provided accurate results (adjusted r2 = 0.90 rmse = 14.24 t/ha), indicating that L-band data have the potential to estimate AGB. Additionally, suitable variables and models were selected in this study, with the principal component analysis being more helpful in combining various SAR parameters. The achievement of these accurate results could be attributed to the synergy among variables.
Optimization of The Oxy-Acetyline Gas Cutting Process on Aisi 1045 Steel Material to Produce Minimum Width Kerf

This research is intended to determine the optimum combination of parameters and how much the contribution of the parameters of cutting speed, oxygen gas pressure, and nozzle distance to the width of the cutting kerf. This research was conducted with a method, namely Taguchi Design of Experiments (DoEs) by varying the process factors used in the AISI 1045 steel material cutting process. The control factors in this study consisted of three factors, namely cutting speed, gas pressure, and tip distance. The cutting speed and cutting gas pressure are significant factors in the optimization of the AISI 1045 steel cutting process for minimum kerf width with a contribution of 95.6%, while the tip / nozzle height factor is not significant in the optimization of the AISI 1045 steel cutting process for the kerf width minimum. The optimum parameter values to obtain the minimum kerf width in AISI 1045 steel are cutting speed of 250 mm/min, gas pressure of 3 kgf/cm2, and tip height of 4 mm. Furthermore, the results of the verification tests carried out indicated that the optimal process parameter formula obtained is feasible to use, indicated by the S / N ratio and confidence interval (CI) of prediction and verification that coincide with one another. The optimal process parameter formula can be used as a reference for industrial production activities with a 95% success rate.
The Effect of for Group Empowerment for Reducing Depression in Elderly

BACKGROUND: The number of elderly people in the world today is increasing. Indonesia is a country with an increasing number of older people who belong to the fastest in the world. The increase in the elderly population will bring consequences or problems that are quite complex given the wide range of physical deterioration, mental, and social well-experienced seniors. One of the problems in the case is mental depression. Elderly living in social homes with a background as a neglected elderly at a high risk of depression due to lack of social support. On the other hand, are physically a lot of the people who actually still quite active and have the potential to be empowered to be beneficial in the elderly active themselves and for others elderly who have obstacles on their daily activity. AIM: The aim of the study was to determine the effect peer group empowerment (PGE) in a decrease in the level of depression in the elderly active in elderly homes Dharma Bhakti Surakarta. METHODS: This study was quasi-experimental pre- and post-test with control group. Subjects were active elderly totaling 44 people at Dharma Bhakti Social Institutions Surakarta. The research instrument used questionnaires depression geriatric depression scale to measure level of depression, sheet monitoring the implementation of the PGE, and manual compliance procedures activity daily living elderly. Data were analyzed with the Wilcoxon test. RESULTS: The result showed the majority of elderly before PGE actions in the intervention in the mild depression, there was 55% for interventions group and the 73% for the control group. After the action of PGE, the majority of seniors experiencing mild depression; 91% in the intervention group and 68% in the control group. Wilcoxon test results obtained Z-value of –3.937 with p = 0.000 for the intervention group and Z-value of –0.074 with p = 0.941 for the control group. CONCLUSION: Peer group empowerment effects the decrease of depression in the elderly in elderly homes Dharma Bhakti of Surakarta.
Computational Aerodynamics of an AK-47 Rifle's 70.82 mm Bullet in Proximity to a Near Wall

Computational Fluid Dynamics was used to study the flow around an AK-47 Assault Rifle© 7.82-mm bullet in proximity to a near wall at Mach 2. The computational methodology was validated against the previously existing computational data. In metropolitan battles situations, the projectiles are fired in close proximity to the ground. The presence of ground prompts an asymmetric pressure distribution over the surface of the bullet. The reflection of shock waves after hitting the wall is considered particularly. From the earliest stage to the influence around the shot; the level of impact is subjected to the ground clearance. Streamlines across the projectile and related surface pressure distribution acquired from computational iterations are described. Clearances with 0.5 and 1 height/diameter ratio were studied to examine the transitions in aerodynamic coefficients like lift, drag, and moment.
Subcellular Dynamics of a Conserved Bacterial Polar Scaffold Protein

In order to survive, bacterial cells rely on precise spatiotemporal organization and coordination of essential processes such as cell growth, chromosome segregation, and cell division. Given the general lack of organelles, most bacteria are forced to depend on alternative localization mechanisms, such as, for example, geometrical cues. DivIVA proteins are widely distributed in mainly Gram-positive bacteria and were shown to bind the membrane, typically in regions of strong negative curvature, such as the cell poles and division septa. Here, they have been shown to be involved in a multitude of processes: from apical cell growth and chromosome segregation in actinobacteria to sporulation and inhibition of division re-initiation in firmicutes. Structural analyses revealed that DivIVA proteins can form oligomeric assemblies that constitute a scaffold for recruitment of other proteins. However, it remained unclear whether interaction with partner proteins influences DivIVA dynamics. Using structured illumination microscopy (SIM), single-particle tracking (SPT) microscopy, and fluorescent recovery after photobleaching (FRAP) experiments, we show that DivIVA from Corynebacterium glutamicum is mobilized by its binding partner ParB. In contrast, we show that the interaction between Bacillus subtilis DivIVA and its partner protein MinJ reduces DivIVA mobility. Furthermore, we show that the loss of the rod-shape leads to an increase in DivIVA dynamics in both organisms. Taken together, our study reveals the modulation of the polar scaffold protein by protein interactors and cell morphology. We reason that this leads to a very simple, yet robust way for actinobacteria to maintain polar growth and their rod-shape. In B. subtilis, however, the DivIVA protein is tailored towards a more dynamic function that allows quick relocalization from poles to septa upon division.
Thermal evolution and resources of the Bowland Basin (NW England) from apatite fission-track analyses and multidimensional basin modelling

Once highlighted for having significant shale gas resource potential, the Bowland Basin has been at the centre of both scientific and political controversy over the last decade. Previous shale gas resource estimates range from 10^3 - 10^1 TCF. Repeated events of induced seismicity following hydraulic fracturing operations led to an indefinite government moratorium and abandonment of operations across the mainland United Kingdom. We use apatite fission track analyses to investigate the magnitude and timing of post-Triassic uplift and exhumation. Results indicate maximum paleo temperatures of 90 - 100oC were reached in the stratigraphically younger Sherwood Sandstone. We combine paleotemperature predictions to constrain paleo heat flow and erosion in regional basin models for the first time. Our results indicate variable maximum Late Cretaceous paleo heat flow values of 62.5 - 80 mW m^2 and the removal of 800 -1500 m of post-Triassic strata at wells across the basin. Regional 2D basin modelling indicates a gas in-place estimate of 131 +/- 64 TCF for the Bowland Shale. This reduces to a resource potential of 13.1 +/- 6.4 TCF, assuming a recovery factor of 10%. These values are significantly lower than previous resource estimates and reflect the highly complex nature of the Bowland Basin and relatively unknown history of post-Triassic uplift, exhumation, and erosion.
The Influence of H2O Deformation on a Deviation on O−H Chemical Bond

A deviation loop is plotted in the harmonic approximation of molecular vibrations. The loop acts as a sensitive indicator reacting to the initial deformation of a water molecule due to the displacement of H atom from its equilibrium position. The deformation of the molecule leads to a displacement of the secondhydrogen atom. The dependence of the corresponding Lagrangian on the orientation of the coordination plane has been determined.
Parents' shares on Instagram in the early days of the COVID-19 pandemic

Many people had to stay at home with their families during the pandemic because of social distancing guidelines and lockdowns. This study aims to explore the content of 'sharenting' of parents during the early COVID-19 pandemic and quarantine periods in Turkey. In total, 401 posts were collected from public Instagram accounts of parents who shared their own children's photos or videos between 18th30th April 2020, via the most commonly used hashtags of #korona (#corona) and #evdekal (# stayhome). Descriptive content analysis was conducted within identified categories. Results revealed that the popular hashtag #stayathome is particularly important for its optimistic representation of the lockdown process in society. Content analysis results show that with the inclusion of social media shares, family members spent more time together, which can be seen as one of the positive consequences of this period. In the results of continued sharenting during the early pandemic, children's faces were mainly kept visible, which might concern children's privacy. Additionally, mothers shared more during this period. Consequently, education to increase awareness of such concepts gains importance, especially for the well-being and privacy of children and any future implications.
Empowerment processes, programs, and outputs in increasing self-efficacy and their influence on individual performance

After the second wave of the COVID-19 pandemic in Indonesia, the MSME business sector was significantly affected, data from the Ministry of Manpower and BPJS Employment in August 2021 explained that there were 2.8 million workers who were directly affected by COVID-19. They consist of 1.7 million formal workers who have been laid off and 749.4 thousand have been laid off. Based on the results of observations in August 2021, there MSME sectors in Indonesia that have been hardest hit, namely MSMEs in transportation, services, and tourism. To deal with the current pressures of difficult economic conditions, it takes a high level of self-efficacy from MSMEs to rise from adversity, rebuild affected businesses by empowering themselves through programs, processes, and outputs, these three factors are determinants of MSME self-efficacy carried out to improve return market demand. Through explanatory research, 400 samples were taken. The study aimed to determine the role of program empowerment, process, and output on MSME self-efficacy and their effect on increasing market demand using quantitative methods. Results show a positive and significant effect of programs, processes, and empowerment outputs on increasing market demand through MSME self-efficacy and empowerment output to increase market demand through MSME self-efficacy.