Miracle-dz/UniFAR-FTUs huggingface dataset:
Parental Support, Beliefs about Mental Illness, and Mental Help-Seeking among Young Adults in Saudi Arabia

Mental illness is not uncommon among young adults, but negative attitudes towards mental disorders and lack of parental support might be associated with hesitancy in seeking professional help. This study aimed to examine the relationships of parental support, beliefs about mental illness, and mental help-seeking among young adults in Saudi Arabia. This quantitative cross-sectional study included a convenience sample of 236 young adults (ages 18–25) with the majority of the total (86.4%) being female. Data were collected via three self-administered questionnaires: The Perceived Parental Support Scale, Beliefs toward Mental Illness scale, and Mental Help Seeking Attitude Scale. Results indicated that the participants had a moderately negative attitude toward mental illness, a moderately positive attitude toward parental support, and a highly positive attitude toward mental help-seeking. No significant relationships were found among the study variables. The study highlights that despite young adults’ positive attitude toward mental help-seeking and parental support, they have negative views toward people with mental illnesses. Educational programs in schools and media are needed to improve attitudes and enhance readiness to interact with people with mental illness.
The PERLA Framework: Blending Personalization and Learning Analytics

Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing insights and understanding into how learners learn and supporting customized learning experiences that meet their goals and needs. This paper discusses the Personalization and Learning Analytics (PERLA) framework which represents the convergence of personalization and learning analytics and provides a theoretical foundation for effective analytics-enhanced personalized learning. The main aim of the PERLA framework is to guide the systematic design and development of effective indicators for personalized learning.
Relationship between Nutritional Status and Clinical and Biochemical Parameters in Hospitalized Patients with Heart Failure with Reduced Ejection Fraction, with 1-year Follow-Up

Heart Failure (HF) is a cardiovascular disease with continually increasing morbidity and high mortality. The purpose of this study was to analyze nutritional status in patients diagnosed with HF with reduced ejection fraction (HFrEF) and evaluate the impact of malnutrition on their prognosis. The Polish version of MNA form (Mini Nutritional Assessment) was used to assess the patients’ nutritional status. The New York Heart Association (NYHA) class, exacerbation of HF, chosen echocardiographic and biochemical parameters, e.g., natriuretic peptides or serum albumin, were also analyzed. Among the 120 consecutive patients, 47 (39%) had a normal nutritional status, 62 (52%) were at risk of malnutrition and 11 (9%) were malnourished. The patients with malnutrition more frequently presented with HF exacerbation in comparison to those with normal nutritional status (82% vs. 30% respectively, p = 0.004). There were no significant differences between the investigated groups as to natriuretic peptides; however, both the malnourished patients and those at risk of malnutrition tend to show higher B-type natriuretic peptide (BNP) and NT-proBNP concentrations. During the average 344 days of follow-up 19 patients died and 25 were hospitalized due to decompensated HF. Malnutrition or being at risk of malnutrition seems to be associated with both worse outcomes and clinical status in HFrEF patients.
Enhancing Attention-based Graph Neural Networks via Cardinality Preservation

GNNs with attention mechanism in aggregation have been actively applied in various ﬁelds. Though the attention-based GNNs have achieved remarkable results in various tasks, a clear understanding of their discriminative capacities is missing. In this work, we start from theoretical analysis to understand the discriminative powers of those attention-based GNNs. Our analysis determines all cases when attention-based GNNs can always fail to distinguish certain distinct structures. Those cases appear due to the ignorance of cardinality information in attention-based aggregation. To improve the expression power of attention-based GNNs, we propose cardinality preserved attention (CPA) models for attention-based GNNs. The experiments on node and graph classiﬁcation conﬁrm our theoretical analysis and show the competitive performance of our CPA models.
Transfer and retention of oculomotor alignment rehabilitation training

Ocular alignment defects such as strabismus affect around 5% of people and are associated with binocular vision impairments. Current nonsurgical treatments are controversial and have high levels of recidivism. In this study, we developed a rehabilitation method for ocular alignment training and examined the rate of learning, transfer to untrained alignments, and retention over time. Ocular alignment was controlled with a real-time dichoptic feedback paradigm where a static fixation target and white gaze-contingent ring were presented to the dominant eye and a black gaze-contingent ring with no fixation target was presented to the nondominant eye. Observers were required to move their eyes to center the rings on the target, with real-time feedback provided by the size of the rings. Offsetting the ring of the nondominant temporal or nasal visual field required convergent or divergent ocular deviation, respectively, to center the ring on the fixation target. Learning was quantified as the time taken to achieve target deviation of 2° (easy, E) or 4° (hard, H) for convergence (CE, CH) or divergence (DE, DH) over 40 trials. Thirty-two normally sighted observers completed two training sequences separated by one week. Subjects were randomly assigned to a training sequence: CE-CH-DE, CH-CE-DE, DE-DH-CE, or DH-DE-CE. The results showed that training was retained over the course of approximately one week across all conditions. Training on an easy deviation angle transferred to untrained hard angles within convergence or divergence but not between these directions. We conclude that oculomotor alignment can be rapidly trained, retained, and transferred with a feedback-based dichoptic paradigm. Feedback-based oculomotor training may therefore provide a noninvasive method for the rehabilitation of ocular alignment defects.
Predicting future axial length in patients with paediatric cataract and primary intraocular lens implantation

Objective: Creating a model to predict Axial Length (AL) growth in paediatric cataract and evaluating influence factors. Material and methods: Eyes with AL measured at surgery and at least one measurement after a 6-month period, from children with unilateral or bilateral cataract and primary IOL implantation, were evaluated. A “rate of axial length growth” (RALG) was calculated for every single eye using these AL measurements and log10 age. One average RALG was calculated for All Eyes and for the groups of Bilateral and Unilateral, Gender, Age at the Surgery, different Visual Acuity, Bilateral Excluded and Not-excluded eye, and Affected and Not-affected eye in unilateral, for comparisons. Results: Average age at surgery from 76 children was 2.83 ± 2.74 (0.11–12.21) years with follow up of 2.84 ± 1.84 (0.52–8.17) years, 29 (37.66%) had unilateral cataract. A total of 357 AL measurements were used, average of 4.70 ± 2.13 (2–10) measurements per eye. The average RALG for all eyes was 4.51 ± 3.06. There were no RALG significant differences comparing Unilateral and Bilateral eyes (p = 0.51), Male and Female (p = 0.26), Age at Surgery <0.5 and >0.5 years old (p = 0.21), both eyes in Bilateral cases (p = 0.70) and Unilateral Affected and Not-affected eyes (p = 0.18). The equation Al = initial AL + slope × Log10 ((age + 0.6)⁄(initial age + 0.6)) estimates ALs in different ages. Conclusions: A model to predict AL growth in paediatric cataract was developed. Different studied factors did not significantly influence AL growth.
Isolation and characterization of twelve polymorphic microsatellite markers in bottlenose dolphins (Tursiops truncatus)

We developed polymerase chain reaction primers for 12 dinucleotide microsatellite loci in the bottlenose dolphin, Tursiops truncatus. Seven markers were obtained after hybridization screening, and five following random genome sequencing. Orthologous positions were computed for nine markers on the bovine genome and for seven on the human genome. The markers are distributed across chromosomes and found in different types of DNA regions. All 12 loci are polymorphic for Tursiops. Five loci were also polymorphic in the related species Stenella frontalis and the more distantly related river dolphin, Inia geoffrensis, indicating these markers will be informative across the Delphinidae and other cetacean taxa.
Targeted Genetic Analysis in a Chinese Cohort of 208 Patients Related to Familial Hypercholesterolemia

Aim: Familial hypercholesterolemia (FH) is the most commonly encountered genetic condition that predisposes individuals to severe autosomal dominant lipid metabolism dysfunction. Although more than 75% of the European population has been scrutinized for FH-causing mutations, the genetic diagnosis proportion among Chinese people remains very low (less than 0.5%). The aim of this study was to identify genetic mutations and help make a precise diagnosis in Chinese FH patients. Methods: We designed a gene panel containing 20 genes responsible for FH and tested 208 unrelated Chinese possible/probable or definite FH probands. In addition, we called LDLR copy number variation (CNVs) with the panel data by panelcn.MOPS, and multiple ligation-dependent probe amplification (MLPA) was used to search for CNVs in LDLR, APOB, and PCSK9. Results: A total of 79 probands (38.0%) tested positive for a (likely) pathogenic mutation, most of which were LDLR mutations, and three LDLR CNVs called from the panel data were all successfully confirmed by MLPA analysis. In total, 48 different mutations were identified, including 45 LDLR mutations, 1 APOB mutation, 1 ABCG5 mutation, and 1 APOE mutation. Among them, the five most frequent mutations (LDLR c.1879G>A, c.1747C>T, c.313+1G>A, c.400T>C, and APOB c.10579C>T) were detected. Moreover, we also found that patients with LDLR variants of CNVs and splicing and nonsense had increased low-density lipoprotein cholesterol levels when compared with those who carried missense variants. Conclusions: The spectrum of FH-causing mutations in the Chinese population is refined and expanded. Analyses of FH causal genes have been a great help in clinical diagnosis and have deep implications in disease treatment. These data can serve as a considerable dataset for next-generation sequencing analysis of the Chinese population with FH and contribute to the genetic diagnosis and counseling of FH patients.
Rate of environmental change across scales in ecology

The rate of change (RoC) of environmental drivers matters: biotic and abiotic components respond differently when faced with a fast or slow change in their environment. This phenomenon occurs across spatial scales and thus levels of ecological organization. We investigated the RoC of environmental drivers in the ecological literature and examined publication trends across ecological levels, including prevalent types of evidence and drivers. Research interest in environmental driver RoC has increased over time (particularly in the last decade), however, the amount of research and type of studies were not equally distributed across levels of organization and different subfields of ecology use temporal terminology (e.g. ‘abrupt’ and ‘gradual’) differently, making it difficult to compare studies. At the level of individual organisms, evidence indicates that responses and underlying mechanisms are different when environmental driver treatments are applied at different rates, thus we propose including a time dimension into reaction norms. There is much less experimental evidence at higher levels of ecological organization (i.e. population, community, ecosystem), although theoretical work at the population level indicates the importance of RoC for evolutionary responses. We identified very few studies at the community and ecosystem levels, although existing evidence indicates that driver RoC is important at these scales and potentially could be particularly important for some processes, such as community stability and cascade effects. We recommend shifting from a categorical (e.g. abrupt versus gradual) to a quantitative and continuous (e.g. °C/h) RoC framework and explicit reporting of RoC parameters, including magnitude, duration and start and end points to ease cross‐scale synthesis and alleviate ambiguity. Understanding how driver RoC affects individuals, populations, communities and ecosystems, and furthermore how these effects can feed back between levels is critical to making improved predictions about ecological responses to global change drivers. The application of a unified quantitative RoC framework for ecological studies investigating environmental driver RoC will both allow cross‐scale synthesis to be accomplished more easily and has the potential for the generation of novel hypotheses.
Acceleration and sprint profiles of professional male football players in relation to playing position

The study aims were to describe positional differences in the acceleration and sprint profiles of professional football players in match-play, and analyse start speeds required based on the intensity of accelerations and decelerations. This longitudinal study was conducted over thirteen competitive microcycles in a professional football team from LaLiga 123. Data were collected through electronic performance tracking systems. Every player was categorised based on the playing position: central defender (CD), full-back (FB), forward (FW), midfielder (MF), and wide midfielder (WMF). In respect of acceleration profile, positional differences were found for all variables (p < 0.05), except average magnitude of accelerations (ACCAVG, p = 0.56) and decelerations (DECAVG, p = 0.76). The sprint profile also showed positional differences for all variables (p < 0.05), apart from sprint duration (p = 0.07). In addition, although low-intensity accelerations required significantly greater start speeds (Vo) than high-intensity accelerations in WMF (0.4 ± 0.2 km/h; p < 0.05) and FW (0.4 ± 0.2 km/h; p < 0.05), no significant differences (p > 0.05) were found in CD, FB, and MF. However, high-intensity decelerations were performed at significantly higher Vo than low-intensity decelerations in MF (2.65 ± 0.1 km/h; p < 0.05), FW (3.3 ± 0.1 km/h; p < 0.05), FB (3.9 ± 0.4 km/h; p < 0.05), WMF (4.3 ± 0.3 km/h; p < 0.05), and CD (4.1 ± 0.7 km/h; p < 0.05). Therefore, positional differences exist for most variables of the acceleration and sprint profiles. In addition, different Vo were observed between high-intensity and low-intensity accelerations as well as high-intensity and low-intensity decelerations.
PHYSICOCHEMICAL AND BIOCHEMICAL CHANGES IN WHOLE LIZARDFISH (SAURIDA MICROPECTORALIS) MUSCLES AND FILLETS DURING FROZEN STORAGE

The physicochemical and biochemical changes in whole lizardfish (Saurida micropectoralis) muscles and its fillets kept in air and under vacuum during frozen storage at -20C for 24 weeks were investigated. The formalde- hyde (FA) and dimethylamine contents increased with a concomitant decrease in trimethylamine-N-oxide (TMAO) content as the storage time increased (P 0.05). The Ca 2+ -adenosine 5-triphosphatase activity continuously decreased with a coincidental decrease in salt-soluble fraction. The disulfide bonds were increasingly formed throughout the storage (P 0.05). The surface hydrophobicity increased and reached the maximum at week 12 with a subsequent decrease up to the end of storage. In general, the higher changes were observed in samples kept under vacuum than those kept in air. With the same atmosphere used, the whole fish showed slightly higher changes than the fillets. A marked increase in TMAO demethylase (TMAOase) activities was observed up to 12 weeks, followed by the continuous decrease up to 24 weeks 4
Clinician-judged hearing impairment and associations with neuropathologic burden

Objective To examine whether neuropathologic burden is associated with hearing impairment. Methods We studied 2,755 autopsied participants ≥55 years of age from the National Alzheimer's Coordinating Center database. Participants had at least 1 clinical evaluation at US National Institute on Aging–funded Alzheimer's Disease Center no more than 2 years before death. Patients were classified as hearing impaired by clinician report at baseline. Common dementia neuropathologies included Alzheimer disease pathologic change (Consortium to Establish a Registry for Alzheimer's Disease neuritic plaque density, neurofibrillary degeneration Braak stage), Lewy body disease, gross infarcts, and microinfarcts. Logistic regression models predicted impaired hearing with adjustment for age at death, sex, race, education, center, and follow-up time. Relative risks were calculated with the use of marginal standardization. Results Impaired hearing was common (32%). In participants who were cognitively normal at baseline (n = 580), impaired hearing was associated with higher Braak stage (relative risk [RR] 1.33 per 2-stage increase, 95% confidence interval [CI] 1.06–1.66) but not other pathologies. In participants with dementia (n = 2,175), impaired hearing was positively associated with microinfarcts (RR 1.18, 95% CI 1.00–1.39) and inversely associated with neuritic plaque density (RR 0.91 per score increase, 95% CI 0.85–0.99). Development of impaired hearing in those with cognitive impairment was associated with neocortical Lewy bodies (1.26, 95% CI 1.02–1.55). Conclusions Impaired hearing, reported before the onset of cognitive impairment, was associated with increased neurofibrillary tangle burden. Impaired hearing in those with cognitive impairment was associated with microinfarcts and neocortical Lewy bodies but not typical Alzheimer disease pathologic change. Functional hearing problems may be a preclinical marker of neurofibrillary neurodegeneration, although replication is needed.
Comparison of mobilization with supervised exercise for patients with subacromial impingement syndrome.

Objectives This study aims to investigate the effects of joint mobilization with supervised exercise in patients with subacromial impingement syndrome (SAIS). Patients and methods This prospective, randomized-controlled study included a total of 40 patients (18 males, 22 females; mean age 43.52 years; range, 27 to 67 years) with SAIS of more than six weeks between June 2014 and June 2015. The patients were randomly allocated into two groups: Group 1 (n=20) received joint mobilization and neuromuscular electrical stimulation and Group 2 (n=20) received a supervised exercise program and neuromuscular electrical stimulation. The outcome measures included the range of motion, pain intensity, the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire, American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form-patient self-report section, Short Form-36, and Global Rating of Change Questionnaire. Pain was evaluated using the visual analog scale (VAS). Results In both groups, the mean VAS scores significantly decreased and the range of motion significantly increased after treatment (p<0.05). Both joint mobilization and supervised exercise combined with neuromuscular electrical stimulation led to a significant improvement in function in patients with SAIS (p<0.05), although it did not significantly differ between the groups (p>0.05). Patient satisfaction with treatment was similar in both groups (p=0.28). Conclusion Based on our study results, mobilization and supervised exercise yield comparable outcomes in patients with SAIS.
Facile Fabrication of Natural Polyelectrolyte-Nanoclay Composites: Halloysite Nanotubes, Nucleotides and DNA Study

Complexation of biopolymers with halloysite nanotubes (HNTs) can greatly affect their applicability as materials building blocks. Here we have performed a systematic investigation of fabrication of halloysite nanotubes complexes with nucleotides and genomic DNA. The binding of DNA and various nucleotide species (polyAU, UMP Na2, ADP Na3, dATP Na, AMP, uridine, ATP Mg) by halloysite nanotubes was tested using UV-spectroscopy. The study revealed that binding of different nucleotides to the nanoclay varied but was low both in the presence and absence of MgCl2, while MgCl2 facilitated significantly the binding of longer molecules such as DNA and polyAU. Modification of the nanotubes with DNA and nucleotide species was further confirmed by measurements of ζ-potentials. DNA-Mg-modified nanotubes were characterized using transmission electron (TEM), atomic force (AFM) and hyperspectral microscopies. Thermogravimetric analysis corroborated the sorption of DNA by the nanotubes, and the presence of DNA on the nanotube surface was indicated by changes in the surface adhesion force measured by AFM. DNA bound by halloysite in the presence of MgCl2 could be partially released after addition of phosphate buffered saline. DNA binding and release from halloysite nanotubes was tested in the range of MgCl2 concentrations (10–100 mM). Even low MgCl2 concentrations significantly increased DNA sorption to halloysite, and the binding was leveled off at about 60 mM. DNA-Mg-modified halloysite nanotubes were used for obtaining a regular pattern on a glass surface by evaporation induced self-assembly process. The obtained spiral-like pattern was highly stable and resisted dissolution after water addition. Our results encompassing modification of non-toxic clay nanotubes with a natural polyanion DNA will find applications for construction of gene delivery vehicles and for halloysite self-assembly on various surfaces (such as skin or hair).
Performance Analysis of Scheduled Access Mode of the IEEE 802.15.6 MAC Protocol under Non-Ideal Channel Conditions

In this paper, we present an analytical model for the scheduled access mechanism of IEEE 802.15. 6 based Wireless Body Area Network (WBAN) taking into account the impact of non-ideal transmission channel. We provide a thorough analysis and closed form expressions for the frame delay, reliability of data transfer, throughput, energy consumption, and Energy Efficiency (EE) of the sensor nodes with medium to high data rate applications. We validate our theoretical derivations through simulation results. The results show the variation in the performance indicators with respect to different system parameters, such as beacon period, data transmission rate, traffic loads, channel Signal-to-Noise Ratio (SNR), Allocation Intervals (AIs), and Payload Sizes (PSs). Our results indicate the tradeoff between average frame delay and EE with respect to selection of AIs and PSs. Thus, through this analysis we show how a network designer can prepare a look-up table for sensor nodes enabling them to select the optimum and minimum AIs and their associated PSs based on the channel SNR to achieve the maximum EE for a particular average frame delay and reliability constraint.