Miracle-dz/UniFAR-FTUs huggingface dataset:
Combination of Coagulation, Adsorption, and Ultrafiltration Processes for Organic Matter Removal from Peat Water

The high content of natural organic matter (NOM) is one of the challenging characteristics of peat water. It is also highly contaminated and contributes to some water-borne diseases. Before being used for potable purposes, peat water must undergo a series of treatments, particularly for NOM removal. This study investigated the effect of coagulation using aluminum sulfate coagulant and adsorption using powdered activated carbon (PAC) as a pretreatment of ultrafiltration (UF) for removal of NOM from actual peat water. After preparation and characterization of polysulfone (Psf)-based membrane, the system’s performance was evaluated using actual peat water, particularly on NOM removal and the UF performances. The coagulation and adsorption tests were done under variable dosings. Results show that pretreatment through coagulation–adsorption successfully removed most of the NOM. As such, the UF fouling propensity of the pretreated peat water was substantially lowered. The optimum aluminum sulfate dosing of 175 mg/L as the first pretreatment stage removed up to 75–78% NOM. Further treatment using the PAC-based adsorption process further increased 92–96% NOM removals at an optimum PAC dosing of 120 mg/L. The final UF-PSf treatment reached NOM removals of 95% with high filtration fluxes of up to 92.4 L/(m2.h). The combination of three treatment stages showed enhanced UF performance thanks to partial pre-removal of NOM that otherwise might cause severe membrane fouling.
Equine Squamous Gastric Disease: Prevalence, Impact and Management

Abstract This narrative review explores the etiopathogenesis, clinical signs, diagnosis and treatment of ESGD (equine squamous gastric disease) and discusses the impact of this commonly encountered condition on the equine industry. ESGD refers specifically to peptic injury of the squamous mucosa of the stomach. Prevalence is highest in performance horses, but the disease has been documented across many breeds and ages, including in feral horses and foals. The pathogenesis of ESGD is well understood. Intensive management and exercise are important factors that contribute to a disruption of the normal stratification of gastric pH. This results in exposure of the vulnerable squamous mucosa to acid, leading to ulceration. Clinical signs are variable and there is little evidence to support a direct association between reported signs and the presence or absence of lesions seen on gastroscopy. Management is aimed at acid suppression and mitigation of known risk factors.
Nanoscale mineralogy and organic structure in Orgueil (CI) and EET 92042 (CR) carbonaceous chondrites studied with AFM‐IR spectroscopy

Meteorite matrices from primitive chondrites are an interplay of ingredients at the sub‐µm scale, which requires analytical techniques with the nanometer spatial resolution to decipher the composition of individual components in their petrographic context. Infrared spectroscopy is an effective method that enables the probing of vibrations at the molecule atomic scale of organic and inorganic compounds but is often limited to a few micrometers in spatial resolution. To efficiently distinguish spectral signatures of the different constituents, we apply here nano‐infrared spectroscopy (AFM‐IR), based on the combination of infrared and atomic force microscopy, having a spatial resolution beyond the diffraction limits. Our study aims to characterize two chosen meteorite samples to investigate primitive material in terms of bulk chemistry (the CI chondrite Orgueil) and organic composition (the CR chondrite EET 92042). We confirm that this technique allows unmixing the IR signatures of organics and minerals to assess the variability of organic structure within these samples. We report an investigation of the impact of the widely used chemical HF/HCl (hydrogen fluoride/hydrochloric acid) extraction on the nature of refractory organics (insoluble organic matter [IOM]) and provide insights on the mineralogy of meteorite matrices from these two samples by comparing to reference (extra)terrestrial materials. These findings are discussed with a perspective toward understanding the impact of post‐accretional aqueous alteration and thermal metamorphism on the composition of chondrites. Last, we highlight that the heterogeneity of organic matter within meteoritic materials extends down to the nanoscale, and by comparison with IOMs, oxygenated chemical groups are not affected by acid extractions.
The Impact of COVID-19 on Young People’s Mental Health in the UK: Key Insights from Social Media Using Online Ethnography

There is increasing evidence of the psychological impact of COVID-19 on various population groups, with concern particularly focused on young people’s mental health. However, few papers have engaged with the views of young people themselves. We present findings from a study into young people’s discussions on social media about the impact of COVID-19 on their mental health. Real-time, multi-platform online ethnography was used to collect social media posts by young people in the United Kingdom (UK), March 2020–March 2021, 1033 original posts and 13,860 associated comments were analysed thematically. Mental health difficulties that were described as arising from, or exacerbated by, school closures, lost opportunities or fraught family environments included depression, anxiety and suicidality. Yet, some also described improvements to their mental health, away from prior stressors, such as school. Young people also recounted anxiety at the ramifications of the virus on others. The complexities of the psychological impact of COVID-19 on young people, and how this impact is situated in their pre-existing social worlds, need recognising. Forging appropriate support necessitates looking beyond an individualised conceptualisation of young people’s mental health that sets this apart from broader societal concerns. Instead, both research and practice need to take a systemic approach, recognising young people’s societal belonging and social contexts.
The Relationship between Telomere Length and Gestational Weight Gain: Findings from the Mamma & Bambino Cohort

Inadequate gestational weight gain (GWG) affects a growing number of pregnancies, influencing intrauterine environment and long-term health. Uncovering molecular mechanisms associated with GWG could be helpful to develop public health strategies for tackling this issue. Here, our study aimed to understand the relationship of DNA telomere length with weigh gain during pregnancy, using data and samples from the ongoing prospective “Mamma & Bambino” study (Catania, Italy). GWG was calculated according to the Institute of Medicine (IOM) guidelines. Relative telomere length was assessed by real-time quantitative polymerase chain reaction in 252 samples of maternal leucocyte DNA (mlDNA) and 150 samples of cell-free DNA (cfDNA) from amniotic fluid. We observed that relative telomere length of mlDNA seemed to weakly increase with GWG. In contrast, telomere length of cfDNA exhibited a U-shaped relationship with GWG. Women with adequate GWG showed longer telomere length than those who gained weight inadequately. Accordingly, the logistic regression model confirmed the association between telomere length of cfDNA and adequate GWG, after adjusting for potential confounders. Our findings suggest an early effect of GWG on telomere length of cfDNA, which could represent a molecular mechanism underpinning the effects of maternal behaviours on foetal well-being.
Grandparent Caregiver Wellbeing: A Strengths-Based Approach Utilizing the Positive Emotions, Engagement, Relationships, Meaning, and Accomplishment (PERMA) Framework

Grandparent caregivers experience a complex web of rewards and challenges as the primary source of support for their grandchildren. Consistent with the trend towards a more positive framing of grandparent caregiving, this paper explores the grandparent caregiver experience through a strengths-based approach and makes the case for Seligman's Wellbeing Theory, or PERMA model, being used to support research, programming, and policy. A scoping review of 16 current empirical articles relevant to grandparent caregiver wellbeing revealed the experience of grandparent caregivers aligns well with the five components of Seligman’s PERMA model: positive emotions, engagement, relationships, meaning, and accomplishment. Using this framework with grandparent caregivers, both in theory and in practice, can provide relevant stakeholders with a more comprehensive picture of the needs of this population, enabling them to more effectively support wellbeing for grandparent caregivers and positive developmental outcomes for the growing number of children in their care.
Artificial intelligence‐based correlation: Process side heat transfer coefficient for helical coils in stirred tank reactors

Stirred tank reactor systems often employ jackets/limpets, single/multiple internal coils for heat transfer. Internal coils are used for heat removal in the case of exothermic reaction systems. The desired heat transfer area can be accurately estimated based on the overall heat transfer coefficient (HTC) considering the process side, utility side, and wall conduction resistance. For estimation of process side HTC, a large number of empirical/semi‐empirical correlations are available in the published literature. These correlations account for impeller Reynolds number, fluid Prandtl number, viscosity ratio, dimensionless geometric factors, and so forth. However, all the factors over the entire range of industrial operation do not get covered in a single study, hence the predictions may involve significant errors for industrial cases. The advanced artificial intelligence‐based techniques can provide unified correlation based on the experimental data set extracted from various investigations and the predictions can be accurate and reliable. In the present work, three techniques random forests (RF), artificial neural networks with Bayesian optimization (ANN‐BO), and support vector regression with grid search optimization (SVR‐GS) have been used with a data set of 1297 points with R2 values of 0.995, 0.972, 0.990 on the training data set and 0.962, 0.945, 0.905 respectively on the testing data set. Furthermore, the statistical measures show that RF provides a better fit as compared with other AI models, so RF is used for parametric sensitivity analysis. The permutation feature importance shows that the agitation speed, impeller dimensions, and positioning has a significant impact on the HTC.
Replicated Study of Effectiveness Evaluation of Cutting-Edge Software Engineering

SUMMARY Although many software engineering studies have been conducted, it is not clear whether they meet the needs of software development practitioners. Some studies evaluated the e ﬀ ectiveness of software engineering research by practitioners, to clarify the research satisﬁes the needs of the practitioners. We performed replicated study of them, recruiting practitioners who mainly belong to SMEs (small and medium-sized enterprises) to the survey. We asked 16 practitioners to evaluate cutting-edge software engineering studies presented in ICSE 2016. In the survey, we set the viewpoint of the evaluation as the e ﬀ ectiveness for the respon-dent’s own work. As a result, the ratio of positive answers (i.e., the answers were greater than 2 on a 5-point scale) was 33.3%, and the ratio was lower than past studies. The result was not a ﬀ ected by the number of employees in the respondent’s company, but would be a ﬀ ected by the viewpoint of the evaluation.
The improvement of mathematics understanding ability on system of linear equation materials and students learning motivation using geogebra-based educational games

The purpose of this research is to determine the improvement of students' mathematical understanding ability on a system of linear equations using GeoGebra-based game education. This research use quasi-experimental that was conducted on two classes of the school in Indonesia. Class X MIPA 4 as experimental class and X MIPA 3 as control class. Based on the results the average score of N-Gain value analysis, mathematical concept understanding ability in the experimental class is 0.55, and the control class average score is 0.30. Based on the calculation, the Asymp. Sig. (2 tailed) of 0.000 is obtained. Because the significance score is obtained less than 0.05, thus it is rejected and is accepted. So, it can be concluded that the improvement of students' mathematical understanding ability using GeoGebra-based game education is better than the improvement through ordinary learning. The learning motivation of students using GeoGebra-based game education as a positive learning media, but there is no relationship between learning motivation and students' mathematical understanding using GeoGebra-Based Game Education.
Shall I Show My Emotions? The Effects of Facial Expressions in the Ultimatum Game

Over the past fifteen years, research has demonstrated the central role of interpersonal emotions in communicating intentions, goals and desires. These emotions can be conveyed through facial expressions during specific social interactions, such as in the context of coordination between economic agents, where information inferred from them can influence certain decision-making processes. We investigated whether four facial expressions (happiness, neutral, angry and disgusted) can affect decision-making in the Ultimatum Game (UG). In this economic game, one player (proposer) plays the first move and proposes how to allocate a given amount of money in an anonymous one-shot interaction. If the other player (responder) accepts the proposal, each player receives the allocated amount of money; if he/she rejects the offer, both players receive nothing. During the task, participants acted as the responder (Experiment 1) or the proposer (Experiment 2) while seeing the opponent’s facial expression. For the responders, the results show that the decision was mainly driven by the fairness of the offer, with a small main effect of emotion. No interaction effect was found between emotion and offer. For the proposers, the results show that participants modulated their offers on the basis of the responders’ expressed emotions. The most generous/fair offers were proposed to happy responders. Less generous/fair offers were proposed to neutral responders. Finally, the least generous/fair offers were proposed to angry and disgusted responders.
Situational and Dispositional Determinants of Cognitive and Affective Reactions to the New Madrid Earthquake Prediction

A New Mexico climatologist, Iben Browning, forecast an even chance that a major earthquake would strike the New Madrid fault on or around December 3, 1990. The extended media coverage associated with this “projection “ may have generated the most acute public awareness of earthquake hazards in the mid-continental United States in recent memory. In order to investigate what effect situational and dispositional factors had on cognitive and affective reactions to Browning's “projection, “ 428 college students residing in the area of Southeast Missouri predicted to be affected by an earthquake on the New Madrid fault were administered an extensive questionnaire. The questionnaire determined how situational factors (sociodemographic characteristics, prior earthquake experience, and impact attributed by the respondents to exposure to media sources of information) and dispositional factors (personality characteristics) were related to their reactions towards Browning's “projection. “ The results indicated ttat the cognitive and affective reactions to an earthquake prediction assessed in this study can be partially predicted from a combination of situational, but not dispositional, factors.
Biological Control of Cactaceae in South Africa

Cactaceae are among the most problematic invasive alien plants in South Africa, posing serious negative consequences to agriculture and natural ecosystems. Fortunately, South Africa has a long and successful history of controlling cactus weeds using biological control (biocontrol). This paper reviews all the biocontrol programmes against invasive alien Cactaceae in South Africa, focusing on the decade since the last review published in 2011, up to, and including 2020. Biocontrol programmes against 16 target weeds are summarised, all of which rely on either the galling mealybug, Hypogeococcus sp. (Pseudococcidae), or various species or intraspecific lineages of cochineal insects (Dactylopius spp., Dactylopiidae) as agents. New agents are being considered for the three target weed species, Opuntia elata Salm-Dyck, Opuntia megapotamica Arechav. and Trichocereus spachianus (Lem.) Riccob. , while permission to release a new agent against Cylindropuntia pallida (Rose) F.M. Knuth has recently been granted. The biocontrol agent, Dactylopius opuntiae (Cockrell) ‘stricta’, which has been utilised for the successful control of Opuntia stricta Haw. , has shown some promise as an agent against one of the worst cactus weeds in the country, the North Cape/Free State variety of Opuntia engelmannii Salm-Dyck. Post-release monitoring and recent observations of the status of control for the 11 other cactus weeds, all of which have well-established agents, are provided. Taxonomic uncertainties and misidentifications of both target weeds and agents has been a constraint to biocontrol efforts, but this has been partially overcome through the use of genetic techniques. Biocontrol is particularly successful in controlling cactus weeds compared to most other taxonomic groups, and it is likely that past successes can be repeated with new target weeds. Mass-rearing and redistribution of agents are essential to gain the maximum possible benefit from cactus biocontrol agents, and recent increases in mass-rearing outputs have been beneficial.
Mutational spectrum and prognosis in Chinese patients with prefibrotic primary myelofibrosis

Prefibrotic primary myelofibrosis (Pre‐PMF) has been classified as a separate entity of myeloproliferative neoplasms (MPNs). Pre‐PMF is clinically heterogeneous but a specific prognostic model is lacking. Gene mutations have emerged as useful tools for stratification of myelofibrosis patients. However, there have been limited studies comprehensively investigating the mutational spectrum and its clinicopathological significance in pre‐PMF subjects. In this study, we addressed these issues by profiling the mutation status of 141 genes in 172 Chinese MPN patients including 72 pre‐PMF cases. Our findings corroborated the clinical/molecular distinctiveness of pre‐PMF and suggested a refined risk classification strategy for this entity.
Comparison of Phytochemicals and Antioxidant Activities of Berries Cultivated in Korea: Identification of Phenolic Compounds in Aronia by HPLC/Q-TOF MS

Aronia, blueberry, Korean raspberry, blackberry, mulberry, and red raspberry fruits cultivated in Korea were evaluated for total phenol content (TPC), total flavonoid content (TFC), total anthocyanin, and ascorbic acid content. All berries were assayed for antioxidant activities determined as 2,2-diphenyl-1-picrylhydrazyl free radical scavenging activity, 2,2’-azino-bis(3-ethylbenzothiazoline)-6 sulphonic acid free radical scavenging activity, and ferric reducing antioxidant power. Individual phenolic compounds in aronia were also identified using high-performance liquid chromatography/quadrupole-time of flight mass spectrometry. TPC, TFC, total anthocyanin, and ascorbic acid contents of the fruit samples ranged from 17.05 to 135.55 mg of gallic acid equivalent/g dry weight (dw), 1.0 to 8.59 mg of rutin equivalent/g dw, 2.55 to 24.43 mg of cyanidin-3-O-glucoside equivalent/g dw, and 3.14 to 19.45 mg of ascorbic acid equivalent/g dw, respec-tively. Aronia and Korean raspberry showed the highest TPC, TFC, and total anthocyanin while red raspberry had the high-est ascorbic acid content. Antioxidant activities showed positive correlations to phenolic and anthocyanin contents suggesting antioxidant activity of berry samples is due to these compounds. Aronia had the highest antioxidant value among fruits.
A Self-Supervised Sampler for Efficient Action Recognition: Real-World Applications in Surveillance Systems

The common paradigm of CNN-based action recognition models is to simply use the average of the dense predictions from every frame. However, these dense predictions are inefficient since all frames are evenly utilized regardless of the existence of the action. In real-time action recognition applications where the input video is untrimmed, the dense prediction is even more severely inefficient. Instead of these dense predictions, we propose a lightweight CNN-based sampler that selects frames that are relevant to the action in the video. The proposed sampler is trained by a self-supervised learning method that mixes one irrelevant frame in an input video clip and finds that irrelevant frame. With the trained sampler, we select frames to be used as inputs to the action recognition model. Our sampler can be combined with any action recognition models and works independently of them. Through various experiments, we demonstrate that the proposed sampler is not only time and memory-efficient but also significantly increases performance in the action recognition benchmarks, including HMDB51 and UCF101. Finally, we applied the self-supervised sampler to the real-time surveillance system in the subway station, and improved the action recognition performance by 7% with 80% reduction in computation.
ANTI-TYROSINASE AND ANTI-OXIDANT POTENTIAL OF METHANOLIC EXTRACTS OF SELECTED CITRUS BERGAMIA AND FICUS CARICA PARTS

Tyrosinase is a key enzyme in melanogenesis and its high activity leads to increasedpigmentations causing skin disorder like freckles, melanosoma and black spot. Therefore to search for new tyrosinase inhibitors is desirable. In present study, methanolic (MeOH) extracts from leaves, fruit peel and pulp of Citrus bergamia (CB) and, leaves and fruitof Ficus carica (FC) were prepared which were further process for fractional ethyl alcohol (EA), n-hexane (n-Hx) and chloroform (CHCl3)extractions (total 20 extracts) aiming to test their anti-tyrosinase potential, in-vitro. Our results confirmed that all MeOH FC and CB extracts showed significant anti-oxidant activity with IC50 range of 461.9 ± 16. 1µg/ml to 2324.4 ± 116.1 µg/ml. Moreover, CB and FC all 20 extracts have significant anti-tyrosinase activity with IC50 range of 13.9 ± 0.5 µg/ml to 320.5 ± 3.3 µg/ml. Interestingly, CB MeOH-EA peel and leaf extracts showed tyrosinase inhibition (IC50) 13.9 ± 0.5 µg/ml and 17.2 ± 0.8 µg/ml, respectively) is better than all other tested extracts and positive control kojic acid (IC50=18.75±5.29µg/ml). Thus, CB MeOH-EA peel extract with lowest IC50 value among all the tested extracts and kojic acid is proposed as potent candidate to control tyrosinase rooted hyperpigmentation.