Miracle-dz/UniFAR-FTUs huggingface dataset:
ADDICTION ANALYSIS AND NEUROTICISM OF USE OF INSTAGRAM SOCIAL MEDIA ON PRODUCTIVE AGE IN JAVA ISLAND

Social media has become an inseparable part of people's lives. People share their daily activities, experiences and opinions on social media. Social media has characteristics that require an extraordinary approach. Instagram is one of the most popular social media in Indonesia. This study aims to determine the correlation between Instagram usage and Neuroticism through excessive use of Instagram and can provide important information related to Instagram usage addiction to Instagram users. Neuroticism is described through a person's personality, such as the emergence of individualism, anxiety, fear, worry, irritability, FOMO, insecurity about other people's achievements, feeling inferior, becoming mentally unhealthy and forgetting responsibility. Many people complain that it is difficult to finish when using Instagram, and even their way to end it is by doing useless things. The method used is quantitative by distributing questionnaires to 400 productive-age respondents in Java Island. After that, the Structural Equation Model (SEM) was calculated using Smart PLS. The research model used in this study is a modification of several models, such as Big Five Personality Traits, DeLone and McLean, the Technology Acceptance Model, the Unified Theory of Acceptance and Use of Technology 2, and Lifestyle. The findings are that Information Quality, System Quality, Performance Expectancy, and Habit affect Instagram usage, while Perceived Ease of Use does not affect Instagram usage. In addition, it was also found that using Instagram affects a person's Neuroticism.
Securitization, Transparency, and Liquidity

We present a model in which issuers of asset-backed securities choose to release coarse information to enhance the liquidity of their primary market, at the cost of reducing secondary market liquidity. The degree of transparency is inefficiently low if the social value of secondary market liquidity exceeds its private value. We show that various types of public intervention (mandatory transparency standards, provision of liquidity to distressed banks, or secondary market price support) have quite different welfare implications. Finally, we extend the model by endogenizing the private and social value of liquidity and the proportion of sophisticated investors. It is widely agreed that the securitization of mortgage loans has played a others). In particular, it is commonplace to lay a good part of the blame for the crisis on the poor transparency that accompanied the massive issues of asset-backed securities (ABS), such as mortgage-backed securities (MBS) and collateralized debt obligations (CDO): see, for instance, Financial Stability Forum (2008) and IMF (2008). Both securities issuers and rating agencies are responsible for the lack of transparency in the securitization process. The prospectus of MBS only We are grateful to
A literature review on the therapeutic applicability of cannabidiol in epilepsy, multiple sclerosis and Parkinson’s disease

Neurodegenerative diseases have complex etiologies, however, neuroinﬂammation and oxidative stress are important markers in this pathogenesis and, in this sense, cannabinoids, especially CBD, have been identiﬁed as potential therapeutics for playing a neuroprotective role. Studies have demonstrated the neuroprotective eﬀect of cannabinoids and derivatives of Cannabis sativa L in diseases of the central nervous system due to their interaction with the endocannabinoid system through receptors and other molecular targets. The aim of this review was to provide an overview of the endocannabinoid system and a summary of the clinical and preclinical ﬁndings of the therapeutic use of cannabinoids in epilepsy, multiple sclerosis and Parkinson’s disease, pointing out interactions with molecular targets and the potential for neuroprotection of CBD. Electronic searches were carried out in international databases, including studies that presented consistent data on this subject. Signiﬁcant therapeutic eﬀects of CBD were shown for epilepsy and Parkinson’s disease, while nabiximols contributed to the reduction of spasticity, being a frequent option for the treatment of multiple sclerosis. Although much has been projected on the therapeutic potential of cannabinoids for neurological disorders, there is a long way to go in the search for strong scientiﬁc evidence of their pharmacological eﬀectiveness.
Development of Novel Fouling-resistant Hollow Fibre Nanocomposite Membrane augmented with Iron oxide Nanoparticles for e�cient Rejection of Bisphenol A from Water: Fouling, Permeability, and Mechanism Studies

Recently, frequent discharge of water-ladened emerging organic pollutants such as Bisphenol A has generated serious concern owing to its harmful effects on public safety and the ecological environment. Hematite nanoparticles (Fe 2 O 3 ) were synthesized via the sol-gel auto-combustion procedure and utilized as a nano�ller to fabricate a PVDF-PEG/Fe 2 O 3 nanocomposite hollow �bre membrane with enhanced antifouling properties. A series of membranes comprising various loadings (1.0–2.0 wt.%) of Fe 2 O 3 NPs were fabricated through the phase inversion technique and thoroughly analyzed. The developed Fe 2 O 3 - membrane �bres were thoroughly characterized. The performance of the membrane �bres was investigated through permeation �ux, BPA rejection, as well as antifouling characteristics. Based on the results obtained, the resultant nanocomposite membrane �bres exhibited superior performance in comparison with the pristine �bre. Also, the nanocomposite membrane with 1.5 wt. %-Fe 2 O 3 NPs exhibited remarkable performance with − 43.7 mV, 56. 3º, 191.85 L/m 2 -h, 86.7%, and 12% of negatively charged zeta potential, least contact angle, water permeation �ux, BPA rejection, and minimum weight loss, respectively. Besides, the 1.5 wt-Fe 2 O 3 NPs nanocomposite membrane demonstrated superior antifouling performance after the third �ltration, accomplishing a higher percent of FRR (77.35%) along with RFR of 21.29%, respectively. Hence, based on the performance of the fabricated hollow-bre membranes loaded with Fe 2 O 3 NPs, e�cient antifouling membranes was achieved which can be suitably applied in the puri�cation of industrial wastewater.
CHILDRENS’ HAPPINESS, ENJOYMENT, PERCEIVED MOTIVATION AND ACHIEVEMENT TOWARDS SCIENCE AUGMENTED REALITY PICTURE BOOK

This study aims to explore the application of an augmented reality (AR) picture book in science subjects among children. A mixed-method research design was adopted where qualitative and quantitative data were collected and corroborated to address the research questions. There were 60 children aged-six years old with 33 boys and 27 girls that were involved in this study. Data were collected using surveys, interviews, and pre and post-test questions. The findings showed that children were happy to learn science using the AR picture book due to the vibrant colours and animation portrayed. Children's level of happiness was found to have a significant and positive relationship on their achievement. These results provide a promising perspective of AR technology for children’s learning and contribute to the scarce study on AR among children. Future research on the use of AR technology for other subjects or younger children could be further explored to provide insight into children's learning through AR as an early childhood intervention.
A furin-deficient HEK293 cell line suggests a role for furin trafficking in the intoxication pathway of recombinant immunotoxins based on Pseudomonas exotoxin A

Furin is a mammalian serine protease with important roles in cellular homeostasis and disease. It cleaves and activates numerous endogenous and exogenous substrates, including the SARS-CoV-2 viral spike protein. Furin is also known to activate protein toxins such as diphtheria toxin and Pseudomonas exotoxin A (PE), as well as toxin conjugates such as recombinant immunotoxins (RITs). RITs are novel cancer therapeutics that connect tumor-directed antibodies with toxins such as PE for targeted cell killing. Although furin is important to RIT intoxication, its role is incompletely understood. Circumstantial evidence suggests that furin may act as a transporter for RITs in addition to its role of activation by cleavage. Here, we evaluate furin in RIT intoxication using a CRISPR/Cas9 engineered furin-deficient HEK293 cell line, ∆ Fur293. We introduced mutant forms of furin with altered intracellular trafficking patterns and decreased catalytic activity into ∆ Fur293 cells. Cytotoxicity assays confirm the significance of furin in the intoxication pathway of PE-based RITs and support the hypothesis that furin trafficking plays an important role during intoxication.
ENSO Modulation of MJO Teleconnections to the North Atlantic and Europe

The teleconnection from the Madden‐Julian Oscillation (MJO) provides a source of subseasonal variability and predictability to the North Atlantic‐European (NAE) region. The El Niño‐Southern Oscillation (ENSO) modulates the seasonal mean state, through which the MJO and its teleconnection pattern propagates; however, its impact on this teleconnection to the NAE region has not been investigated. Here we find a robust dependence of the teleconnections from the MJO to NAE weather regimes on the phase of ENSO. We show that the MJO to NAO+ regime tropospheric teleconnection is strongly enhanced during El Niño years, via enhanced Rossby wave activity, and suppressed during La Niña. Conversely, the MJO to NAO− regime stratospheric teleconnection is enhanced during La Niña years and suppressed during El Niño. This dependence on the background state has strong implications for subseasonal predictability, including interannual variations in subseasonal predictive skill.
UNDERSTANDING STUDENTS’ PERCEPTIONS AND MOTIVATIONS TOWARDS THE LEARNING OF PROGRAMMING IN MALAYSIAN HIGH SCHOOLS

Computer programming as a taught subject was added to the Malaysian National School Curriculum in stages starting from 2017. This is seen as a positive step in light of the nation's future challenges, especially with the advent of the Fourth Industrial Revolution. However, a wealth of research has indicated that programming's teaching and learning are wrought with challenges and pedagogical issues. It is thus imperative that studies are done to investigate issues regarding the acceptance and motivation in learning programming among local school children. With this objective in mind, a study was done in several schools in Selangor, Malaysia. A total of 166 form-four students were surveyed to uncover their perceptions of the materials and approaches used in the teaching of programming and their motivations in learning programming. According to the results, the materials and teaching approach were important factors to motivate students to like the subject and make them perform better.
VU Research Portal Avoiding moving obstacles

To successfully move our hand to a target, we must consider how to get there without hitting surrounding objects. In a dynamic environment this involves being able to respond quickly when our relationship with surrounding objects changes. People adjust their hand movements with a latency of about 120 ms when the visually perceived position of their hand or of the target suddenly changes. It is not known whether people can react as quickly when the position of an obstacle changes. Here we show that quick responses of the hand to changes in obstacle position are possible, but that these responses are direct reactions to the motion in the surrounding. True adjustments to the changed position of the obstacle appeared at much longer latencies (about 200 ms). This is even so when the possible change is predictable. Apparently, our brain uses certain information exceptionally quickly for guiding our movements, at the expense of not always responding adequately. For reaching a target that changes position, one must at some time move in the same direction as the target did. For avoiding obstacles that change position, moving in the same direction as the obstacle is not always an adequate response, not only because it may be easier to avoid the obstacle by moving the other way, but also because one wants to hit the target after passing the obstacle. Perhaps subjects nevertheless quickly respond in the direction of motion because this helps avoid collisions when pressed for time.
Echocardiographic assessment of left cardiac structure and function in ART-naïve people living with HIV/AIDS

Background: Patients with human immunode�ciency virus (HIV) are at a signi�cantly higher risk of cardiovascular disease (CVD) compared to HIV-negative people. CVD has become one of the leading causes of death from non-acquired immune de�ciency syndrom (AIDS)-related events in people living with HIV/AIDS (PLWHA). Left heart dysfunction is the most common cardiac complication in PLWHA, and diastolic dysfunction is an important predictor of cardiovascular events. The aims of this study were 1) to detect changes in left cardiac structure and function in antiretroviral therapy (ART)-naive PLWHA using echocardiography; and 2) to investigate the risk factors for the development of left ventricular diastolic dysfunction (LVDD) in ART-naive PLWHA. Methods: We retrospectively included 105 ART-naïve PLWHA and included 90 healthy subjects as controls to compare the differences in left heart structure and function between the two groups. Univariate and multifactorial logistic regression were employed to explore the risk factors of the development of LVDD in ART-naive PLWHA. Results: The left ventricular end-diastolic internal diameter (LVEDD), left ventricular mass index (LVMI), and left atrial volume index (LAVI) were signi�cantly greater in PLWHA than in controls (p(cid:0)0.05). The E/A ratio, lateral e' velocity, and mitral deceleration time (DT) were signi�cantly lower in PLWHA than in controls (p < 0.05). Average E/e' ratio was signi�cantly higher in PLWHA than in controls (p < 0.05). Left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) were not signi�cantly different between PLWHA and controls (p(cid:0)0.05). Multifactorial logistic regression analysis showed that age, body mass index (BMI), and CD4+ count < 200 cells/ μ L were independent in�uencing factors for LVDD in ART-naive PLWHA (OR=1.781, 1
Exploring the factors of startup success and growth

Most developing economies relies heavily on startups, startups has been identified to be the measure of innovation and development and countries that has more startups have higher economic stability. The aim of this paper is to identify factors that influence the success of startup in this ever changing world. Factors such as turnover, internal Market openness, Market dynamic and Government policies turns to influence capital investors decision and affect the confidence of the entrepreneur
Edinburgh Research Explorer Host protective roles of type 2 immunity

Metazoan parasites typically induce a type 2 immune response, characterized by T helper 2 (Th2) cells that produce the cytokines IL-4, IL-5 and IL-13 among others. The type 2 response is host protective, reducing the number of parasites either through direct killing in the tissues, or expulsion from the intestine. Type 2 immunity also protects the host against damage mediated by these large extracellular parasites as they migrate through the body. At the center of both the innate and adaptive type 2 immune response, is the IL-4R (cid:2) that mediates many of the key effector functions. Here we highlight the striking overlap between the molecules, cells and pathways that mediate both parasite control and tissue repair. We have proposed that adaptive Th2 immunity evolved out of our innate repair pathways to mediate both accelerated repair and parasite control in the face of continual assault from multicellular pathogens. Type 2 cytokines are involved in many aspects of mammalian physiology independent of helminth infection. Therefore understanding the evolutionary relationship between helminth killing and tissue repair should provide new insight into immune mechanisms of tissue protection in the face of physical injury. © 2014
Edinburgh Research Explorer ASR and Emotional Speech

In Speech Emotion Recognition (SER), textual data is often used alongside audio signals to address their inherent variability. However, the reliance on human annotated text in most research hinders the development of practical SER systems. To overcome this challenge, we investigate how Automatic Speech Recognition (ASR) performs on emotional speech by analyzing the ASR performance on emotion corpora and examining the distribution of word errors and confidence scores in ASR transcripts to gain insight into how emotion affects ASR. We utilize four ASR systems, namely Kaldi ASR, wav2vec2, Conformer, and Whisper, and three corpora: IEMOCAP, MOSI, and MELD to ensure generalizability. Additionally, we conduct text-based SER on ASR transcripts with increasing word error rates to investigate how ASR affects SER. The objective of this study is to uncover the relationship and mutual impact of ASR and SER, in order to facilitate ASR adaptation to emotional speech and the use of SER in real world.
Radiographic Analysis of the Cervical Spine Sagittal Alignment in Degenerative Cervical Myelopathy (DCM) 24- month after Posterior Cervical Laminectomy without fusion (PCL). A retrospective Study and Review of Literature

Background data: Degenerative cervical myelopathy (DCM) is the leading cause of spinal cord dysfunction among the elder group of the population. DCM is a degenerative disease that slowly progresses with time; in addition, moderate-to-severe symptomatic patients usually require decompression surgery to relieve the compressed cord. Posterior cervical laminectomy (PCL) without fusion is a known and commonly practiced surgical procedure for multiple levels of DCM. Concerns were raised for the post-PCL without fusion kyphosis as a sequel to laminectomy, as several authors reported the occurrence of post-PCL without fusion kyphosis, which may be re ﬂ ected in the clinical and radiological outcome. Purpose: This study aims to study the cervical spine sagittal alignment post-PCL without fusion and correlate this to preoperative radiological parameters. Study design: Retrospective analytical cohort study. Patients and methods: The surgical database of our institution hospital was used to retrieve the data of DCM patients who underwent PCL (C3 e C6) without fusion. Demographic data of the patients were reported and analyzed. The radiological evaluation used the Cobb angle from C2 to C7 on lateral cervical X-ray, and a comparison between pre-ad postoperative angles was analyzed. The sagittal vertical axis “ Csva ” of C2-C7 and C7 slope angles were measured. All measurements were done using Surgimap v2.3 (Nemaris, New York, USA). Results: Total number of patients was 48 after 24 months, the Cobb angle increased from 22.02 ± 14.4 to 22.24 ± 9.121 ( P ¼ 0.304), the cSVA increased signi ﬁ cantly from 14.32 ± 10.3 to 18.25 ± 11.46 ( P ¼ 0.013), and the C7 slope angle increased from 27.84 ± 11.35 to 29.18 ± 6.95 ( P ¼ 0.649). Only 14 patients (29.1%) had their cervical Cobb angle decreased after 24 months. Both C2-C7 Cobb and C7 slope angles correlated to the decreased cervical Cobb angle after 24 months. Conclusion: Preoperative cervical Cobb angle and C7 slope angle may correlate to the decreased postoperative cervical Cobb angle. In light of the study ﬁ ndings, it is recommended that long-term follow-ups of PCL without fusion surgeries are very crucial to truly re ﬂ ect the natural senile process effects on the cervical sagittal balance.
Public Opinion, Clusters, and Statistics of Covid-19 Vaccination: a Twitter Analysis

The coronavirus disease (COVID-19) pandemic has drastically affected the entire world. Vaccinations have been developed to contain the spread of the virus and help humanity recover from the pandemic. However, people are often reluctant to adopt new medical interventions, and COVID-19 vaccines are no exception. Social media platforms like Twitter are flooded with discussions, opinions, and rumors about vaccines. Numerous people access news regarding COVID-19 vaccines on Twitter-rather than through official media channels-which offers a wealth of comments about news and medical breakthroughs. However, as people are panicked due to this alarming situation, they tend to share any information they receive without checking its credibility, creating more panic. Analyzing interaction between social media users provides insight into the spreading pattern of news, people's opinions towards a particular issue, who the influencers are, and how they influence others, among other findings. This study investigated opinions about COVID-19 vaccines by applying sentiment analysis and detecting communities on Twitter. We constructed an interaction network of discussions related to COVID-19 vaccines and applied social network analysis methods to find communities and nodes with high centrality measures. Next, we analyzed how these nodes affect the overall community opinion. Two main communities were detected, with the larger community displaying a higher positive sentiment ratio than the smaller one. Furthermore, the polarity of the high centrality nodes in each community was close to the average polarity of the community as a whole. These findings highlight the potency of the node's position in terms of centrality measures. In conclusion, analyzing discussion networks should not be overlooked when public health is concerned, as influencers are not necessarily those with high numbers of followers but rather those with high centrality measures within the interaction network regarding the topic being discussed. © 2022 Little Lion Scientific.
The Impact of Histologies On Clinical Outcomes of Spinal Metastases Treated With Stereotactic Body Radiotherapy.

Background With the life expectance prolonging, more cancer patients occurred spinal metastases. To evaluate the impact of histologies on outcomes of spinal metastases treated with stereotactic body radiotherapy (SBRT) and identify the correlated prognostic factors. Methods The authors retrospectively reviewed the records of all patients who underwent SBRT with no prior radiation for spinal metastases between October 2015 and October
A NOVEL ALGORITHM BASED ON THE NODE TIGHTNESS DEGREE FOR COMMUNITY DETECTION IN LARGE GRAPHS

Community detection is one of the most important research topics in the complex network area. The identification of community structure in large graphs analyze the information unrevealed in the exterior data relationships, explore the internal structure and the function of networks and improve their efficacity. A lot of approaches and methods have been proposed to identify communities based on network structure. However, the majority of them focus on topologies of nodes but ignore the relevance of interactions between them. In this paper, we propose a novel algorithm especially focused on identifying the initial communities then expanding them by using a new node tightness degree based on the edge clustering coefficient and the shared neighbour’s similarity of nodes. The proposed approach is evaluated based on different small and large datasets corresponding to different contexts. The experiments prove good results in terms of modularity and computation time while using the new node tightness degree