Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of survival-associated alternative splicing events in the prognosis of ovarian cancer

Objective Alternative splicing (AS) events play a crucial role in the tumorigenesis and progression of various cancers. In the present study, we aimed to identify specific AS events, which might be prognostic markers and therapeutic targets for ovarian cancer (OV). Methods Transcriptome data, clinical information, and Percent Spliced In (PSI) values were downloaded from TCGA database and TCGA SpliceSeq to explore the role of AS events in the prognosis of OV patients. Univariate and multivariate Cox regression analyses were performed to identify survival-associated AS events and develop multi-AS-based prognostic models. The K-M curves and ROC curves were conducted based on prognostic AS event models. Moreover, a splicing regulatory network was established according to the correlation between AS events and splicing factors (SFs). Finally, we performed functional enrichment analysis by GO terms and KEGG pathways. Results We identified 1,472 AS events that were associated with the survival of OV patients, and exon skipping (ES) was the most important type. We also found that prognostic models based on AS events were good predictors of OV prognosis, which could discriminate the high-risk group from the low-risk group (P < 0.05). Notably, the AUC value of AD, AP, AT, ES, ME, and the whole cohort was more than 0.70, indicating that these six models had valuable prediction strength. The risk score of prognostic models was identified as an independent prognostic factor. Furthermore, the AS-SF correlation network revealed several hub SF genes, including DDX39B, PNN, LUC7L3, ZC3H4 and SRSF11, and so on. Conclusions In the present study, we constructed powerful prognostic predictors for OV patients and uncovered interesting splicing networks. Collectively, our findings provided valuable insights into the underlying mechanisms of OV.
Unpacking the role of self-congruence, attendee engagement and emotional attachment in cultural events

PurposeThe purpose of this study is to explore the relationship between self-congruence and attendee engagement in explaining emotional attachment in the context of cultural events.Design/methodology/approachStructural equation modelling with partial least squares analysis has been applied. Data were collected from 421 respondents through an onsite survey during the Yi Peng and Loy Krathong festive week in Thailand.FindingsThe findings revealed that self-congruence (i.e. actual self-congruence and ideal self-congruence) has a positive influence on attendee engagement. When attendees' actual self and ideal self-match with the event image, they are more likely to actively engage in the event activities.Originality/valueThe findings offer insights into one type of events, the cultural event, which is a common event in Thailand. This study is also one among a handful works that investigates the moderating role of perceived crowding on the relationship between attendees' actual and ideal self-congruence and engagement with the event. Although the findings do not suggest a significant moderating effect, this study provides preliminary insight into how perceived crowding shapes the perception of tourists in a cultural event context.
Time series analysis of the number of Covid-19 deaths in Iraq

In this paper, the time series data for the number of deaths from Coronavirus (COVID-19) patients in Iraq were analyzed for the period from 4/3/2020 to 18/2/2021. ARCH, GARCH, and TGARCH models were applied due to the changing volatility of the series leading to a heteroscedastic variance. The appropriate models for the series were diagnosed and the best model was chosen and used for forecasting by the exponential smoothing methods. The comparison criterion used was the Root Mean Squared Error and the Sum of Squared Residuals. The most appropriate model for modeling and forecasting the Coronavirus deaths series in Iraq was diagnosed as TGARCH (1,1). Finally, the method of Holt-winter-additive forecasting was the best method among the
A fuzzy logic‐based approach for fuzzy queries over NoSQL graph database

The massive production of data in the web environment increases the need for efficient and effective solutions to store and manage data. NoSQL databases with the capability of storing various types of data were introduced to be used in the management of big data. Besides, supporting flexible querying has significant impacts on data management usability and users prefer to ask their requests using fuzzy terms and get crisp results to make efficient decisions. In this paper, a fuzzy‐based approach is presented which adopts fuzzy queries and delivers crisp recommendations to the users. For this purpose, a counselor, which acts as a fuzzy agent and has knowledge about the data, defines fuzzy terms, membership functions and fuzzy rule tables in a way that each user can ask queries through fuzzy terms. The evaluation results show the efficiency of the proposed approach which removes the need for high‐level programming skills for users. As a result, our approach's efficiency and user acceptance are increased as well and made it an appropriate solution for using ambiguous queries in big graph databases.
Signal Competition in Dynamic Visual Environments: Relative Conspicuousness of Social Displays in the Jacky Dragon (Amphibolurus muricatus)

Selection for conspicuousness has been an important force on visual signal design. Although signal efficacy has been extensively studied in acoustic systems, few studies have examined this attribute in dynamic visual signals. Here, I simulated signal competition between Jacky lizards (Amphibolurus muricatus) by presenting the motor patterns (tail-flick, push-up body rock, and slow arm wave) in isolation that are typically used in social communication. Phase 1 used four digital video playback systems to present simultaneous animated display combinations on opposing monitors to a subject that was situated in the middle, and measured orientation towards the monitors and latency to respond. Phase 2 maintained the same set-up and simultaneous display combinations, but tested signal conspicuousness across three levels of visual noise (calm, typical, and windy) simulated by the movement of windblown vegetation in the background. The results suggest that the most conspicuous visual display is the tail-flick, followed by the push-up body rock, and the slow arm wave is the least conspicuous. Moreover, this relationship is robust across the full range of environmental wind conditions. No significant side biases in orientation to displays were detected, which suggested no lateralization in perceptual processes. Jacky lizard display motor patterns which address distinct functional requirements: the tail flick is an ideal alerting component, with high efficacy over a range of signaling conditions. The push-up body rock, which is used only in aggressive displays, has a more restricted range, and the submissive slow arm wave is likely designed to appease nearby dominant males.
Animal Manure, Neem Cake, Biochar, Vermicompost or Urea: Choosing the Better Option for Spinacia oleracea Growth and Soil Fertility

Production of safe food through organic farming while maintaining soil sustainability is the crucial challenge of recent time. As such a pot experiment was conducted using animal manure (TAM), neem-cake (TNC), vermicompost (TVC), biochar (TBC) and urea (TU) with control (TC) to assess their capacity to stimulate Spinacia oleracea growth under field condition and their impact on soil fertility. Six treatments: TC, TAM, TNC, TVC, TBC, TU with three replications were used in completely randomized design (CRD). All the plant growth parameters were measured at regular interval up to maturity. Complete chemical analysis of plant tissue, amendments and soil was carried out. Nitrogen use efficiency (NUE) under different treatments was calculated at 45 and 60 days. All the treatments showed statistically significant (P i.e., plant height with P (R = 0.887); leaf area with N (R = 0.957) and P (R = 0.985); dry weight with N (R = 0.996), P (R = 0.994) and K (R = 0.860). Significant (P < 0.001) increase in post-harvest soil C and CEC content was found with all the treatments. The highest availability of N, P and S was observed under treatment TNC. For short duration crop like spinach, TNC is the best option followed by TVC as they release nutrient quickly than TBC and TAM.
Influence of Beam Power on Young’s Modulus and Friction Coefficient of Ti–Ta Alloys Formed by Electron-Beam Surface Alloying

In this study, we present the results of Young’s modulus and coefficient of friction (COF) of Ti–Ta surface alloys formed by electron-beam surface alloying by a scanning electron beam. Ta films were deposited on the top of Ti substrates, and the specimens were then electron-beam surface alloyed, where the beam power was varied from 750 to 1750 W. The structure of the samples was characterized by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), and X-ray diffraction (XRD). Young’s modulus was studied by a nanoindentation test. The coefficient of friction was studied by a micromechanical wear experiment. It was found that at 750 W, the Ta film remained undissolved on the top of the Ti, and no alloyed zone was observed. By an increase in the beam power to 1250 and 1750 W, a distinguished alloyed zone is formed, where it is much thicker in the case of 1750 W. The structure of the obtained surface alloys is in the form of double-phase α’and β. In both surface alloys formed by a beam power of 1250 and 1750 W, respectively, Young’s modulus decreases about two times due to different reasons: in the case of alloying by 1250 W, the observed drop is attributed to the larger amount of the β phase, while at 1750 W is it due to the weaker binding forces between the atoms. The results obtained for the COF show that the formation of the Ti–Ta surface alloy on the top of Ti substrate leads to a decrease in the coefficient of friction, where the effect is more pronounced in the case of the formation of Ti–Ta surface alloys by a beam power of 1250 W.
Exploring the Association of Tiered Funding for Economic Development and Enrollment

ABSTRACT In 2011, North Carolina implemented a tiered funding model for community colleges in an attempt to address program cost differentiation. In 2014, the funding model changed from a three-tiered model to a four-tiered model with additional funds for courses that address skills gaps and lead to higher-wage jobs. The purpose of this study was to examine the 2014 funding policy change and enrollment behavior between 2014 to 2018 at North Carolina community colleges, overall and by specific institutional grouping categories: geographic region, disciplinary focus, prevalent student type, undergraduate classification, size of institution, and degree of urbanization (locale). The aggregate community college enrollment and 19 out of 20 institutional grouping categories saw decreased enrollment in the lower funded course and increased enrollment in higher financed courses, supporting resource dependency theory. Further, the results showed that the tiered enrollment profile was dependent on time for the aggregate population as well as the institutional groupings.
A reliability and validity study of the electronic health literacy scale among stroke patients in China

ABSTRACT Background Patients with stroke usually use smartphones to obtain online information to maintain their health. But their ability to identify, evaluate and apply this information is still unknown. Aim This study was designed to examine the reliability and validity of the electronic Health Literacy Scale among patients with stroke in China. Design This is a cross-sectional survey. Methods A demographic questionnaire, the electronic Health Literacy Scale (e-HLS) and the eHealth Literacy Scale (eHEALS) were administered to a sample of 648 patients with ischemic stroke recruited from December 2020 to March 2021 in a tertiary hospital. Results The Cronbach’α coefficient on the e-HLS-CHI was 0.907. Kappa consistency coefficient of test-retest reliability was 0.691 (p < .05). Three factors were extracted by Exploratory Factor Analysis (EFA), accounting for 90.84% of the total variance. Confirmatory Factory Analysis (CFA) revealed that three factors of e-HLS-CHI fit well (NFI = 0.979, RFI = 0.955, IFI = 0.987, TLI = 0.972, CFI = 0.987, RMSEA = 0.070, CMIN/DF = 2.586). Good simultaneous validity was suggested by the positive correlation of 0.94 (p < .001) between the e-HLS-CHI and eHEALS. When using eHEALS as the standard, the area under the ROC curve of e-HLS-CHI was 0.896 (95% CI: 0.831–0.960, p < .001). The sensitivity and specificity were 97.8% and 70.4% respectively. Conclusions The e-HLS can be used to evaluate electronic health literacy of patients with stroke in China after translation and cultural adaption.
Association between Weight- and Appearance-related Bullying in High School and Postsecondary Academic Adaptation in Young Adults

ABSTRACT This longitudinal study investigates the association between weight- and appearance-related bullying in high school and various dimensions of postsecondary school adaptation. The results showed that, in high school, weight-related bullying is more common than appearance-related bullying. Youth bullied because of weight were at higher risk of considering dropping out of college or university than peers who were bullied because of appearance. Those bullied because of overweight indicated being less academically involved than those bullied because of appearance. A cumulative effect of bullying sources was also observed, with a higher likelihood of youth bullied by two or more sources having considered dropping out and experiencing lower social integration and institutional commitment. These results highlight the need to consider weight-related bullying seriously and to intervene rapidly.
Neonatal Mortality in an Iranian Referral Level Ш Neonatal Intensive Care Unit: A Cross-Sectional Study

Background: Despite the significant improvement in neonatal intensive care, neonatal death is still one of the most important challenges worldwide. Understanding the causes of neonatal mortality is important for health policymakers. This study aimed to assess neonatal mortality in an Iranian referral level Ш Neonatal Intensive Care Unit (NICU). Methods: This cross-sectional study was conducted on the neonates who were referred to a level Ш NICU between 2014 and 2019. Data collection was performed by the research assistants, using a pre-designed checklist from the neonatal medical records. All the neonatal records of the patients who died during the infancy period were collected. Data were analyzed using SPSS (version 23). Results: In total, 388 (12%) out of 3,078 inpatient neonates died In this study. The mean gestational age of neonates who died was 34.9 weeks and 53% of them were males. In addition, 92 (23%) of them died when they aged between 0-7 days and hyponatremia was the most common (30.9%) abnormal laboratory finding among them. The main causes of mortality included sepsis (26%), congenital multiple anomalies (21%), prematurity (20%), surgical procedures (15%), congenital heart disease (8%), inborn metabolic disorder (6%), hypoxic-ischemic encephalopathy (2.8%), and some unknown reasons (1.2 %), respectively. Sepsis, as the most common disorder in neonatal mortality among the patients, was detected in 74 (58.27%) preterm infants, and Acinetobacter was the main microbial detected pathogen. The rate of sepsis was significantly different in different gestational ages (P<0.001). Conclusion: Based on the obtained results, sepsis, prematurity, and congenital multiple anomalies are the most common causes of mortality among neonates. Causes of mortality during the first month of life were different indicating the need for evidence-based interventions and proper policymaking in the field of neonatal health.
Human dimensions of crocodilians: a review of the drivers of coexistence

ABSTRACT Crocodilians are socially and ecological important apex predators. Yet, many societies struggle to share space with crocodilians, especially in urban and coastal regions. The literature provides fragmented insights into human-crocodilian coexistence and conflict across the urban-rural gradient. We conducted an exploratory review of the literature to identify trends in research and opportunities for researchers to unearth potential principles of human coexistence with crocodilian species within cognitive, spatial, and governance domains. Our results follow two lines of inquiry: (a) interactions in increasingly urbanizing areas, and (b) interactions in natural resource dependent rural communities. In both instances, our review revealed the influential role of cognitions in human defense of symbolic and material livelihoods and negotiating human-crocodilian interactions. Our findings also demonstrated that studies insufficiently attend to larger forces (e.g., rural-urban drift, land use change, societal adaptive capacity) influencing interactions. Understanding social-ecological connections between humans and apex predators are necessary to rethink coexistence.
Device Quantization Policy and Power-Performance- Area Co-Optimization Strategy in Variation-Aware In-memory Computing Design

Device quantization of in-memory computing (IMC) that considers the non-negligible variation and finite dynamic range of practical memory technology is investigated, aiming for quantitatively co-optimizing system performance on accuracy, power, and area. Architecture- and algorithm-level solutions are taken into consideration. Weight-separate mapping, VGG-like algorithm, multiple cells per weight, and fine-tuning of the classifier layer are effective for suppressing inference accuracy loss due to variation and allow for the lowest possible weight precision to improve area and energy efficiency. Higher priority should be given to developing low-conductance and low-variability memory devices that are essential for energy and area-efficiency IMC whereas low bit precision (< 3b) and memory window (<10) are less concerned.
Shape adaptive IRS Enhanced SAG IoT Network

6G technology connects physical and digital, and ubiquitous 6G services will provide convenience to users around the world. The concept of the world-earth integrated network is to seamlessly integrate these three subnets to better adapt to future development. This article introduces the world-earth integrated network and shapeadaptive IRS antenna technology. The shape-adaptive IRS antenna described in this article is made of flexible materials, and the physical shape of the antenna can be changed according to different situations, and specific radiation beams can be generated according to functional requirements. And the effectiveness of the shape-adaptive IRS antenna technology has been proven in the simulation results.
Hydrology and Cranes (Grus grus) Attraction Partnership in the Management of the Hula Valley—Lake Kinneret Landscape

The Hula Valley in northern Israel was partly covered by swamps and a shallow lake. The entire valley was drained and converted for agricultural cultivation. Later, an additional soil reclamation operation was implemented, including eco-tourism. From the early 1990s, winter migratory cranes have attracted visitors, thus supporting the hydrological management of the entire valley that protects the downstream Lake Kinneret. It was documented that these birds have a minor impact on phosphorus pollution, but severely damaged agricultural crops are protected by mild deportation and daily, short, periodical corn seed feeding.
A Multi-Component Transition of Care Improvement Project to Reduce Hospital Readmissions Following Ischemic Stroke

Background: Ischemic stroke (IS) is a common cause of hospitalization which carries a significant economic burden and leads to high rates of death and disability. Readmission in the first 30 days after hospitalization is associated with increased healthcare costs and higher risk of death and disability. Efforts to decrease the number of patients returning to the hospital after IS may improve quality and cost of care. Methods: Improving care transitions to reduce readmissions is amenable to quality improvement (QI) initiatives. A multi-component QI intervention directed at IS patients being discharged to home from a stroke unit at an academic comprehensive stroke center using IS diagnosis-driven home care referrals, improved post-discharge telephone calls, and timely completion of discharge summaries was developed. The improvement project was implemented on July 1, 2019, and evaluated for the 6 months following initiation in comparison to the same 6-month period pre-intervention in 2018. Results: Following implementation, a statistically significant decrease in 30-day all-cause same-hospital readmission rates from 7.4% to 2.8% (p = .031, d = 1.61) in the project population and from 6.6% to 3% (p = .010, d = 1.43) in the overall IS population was observed. Improvement was seen in all process measures as well as in patient satisfaction scores. Conclusions: An evidence-based bundled process improvement intervention for IS patients discharged to home was associated with decreased hospital readmission rates following IS.
Transport and Variability of Tropospheric Ozone over Oceania and Southern Pacific during the 2019-20 Australian Bushfires

The present study contributes to the scientific effort for a better understanding of the potential of the Australian biomass burning events to influence tropospheric trace gas abundances at the regional scale. In order to exclude the influence of the long-range transport of ozone precursors from biomass burning plumes originating from Southern America and Africa, the analysis of the Australian smoke plume has been driven over the period December 2019 to January 2020. This study uses satellite (IASI, MLS, MODIS, CALIOP) and ground-based (sun-photometer, FTIR, ozone radiosondes) observations. The highest values of aerosol optical depth (AOD) and carbon monoxide total columns are observed over Southern and Central Australia. Transport is responsible for the spatial and temporal distributions of aerosols and carbon monoxide over Australia, and also the transport of the smoke plume outside the continent. The dispersion of the tropospheric smoke plume over Oceania and Southern Pacific extends from tropical to extratropical latitudes. Ozone radiosonde measurements performed at Samoa (14.4°S, 170.6°W) and Lauder (45.0°S, 169.4°E) indicate an increase in mid-tropospheric ozone (6–9 km) (from 10% to 43%) linked to the Australian biomass burning plume. This increase in mid-tropospheric ozone induced by the transport of the smoke plume was found to be consistent with MLS observations over the tropical and extratropical latitudes. The smoke plume over the Southern Pacific was organized as a stretchable anticyclonic rolling which impacted the ozone variability in the tropical and subtropical upper-troposphere over Oceania. This is corroborated by the ozone profile measurements at Samoa which exhibit an enhanced ozone layer (29%) in the upper-troposphere. Our results suggest that the transport of Australian biomass burning plumes have significantly impacted the vertical distribution of ozone in the mid-troposphere southern tropical to extratropical latitudes during the 2019–20 extreme Australian bushfires.