Miracle-dz/UniFAR-FTUs huggingface dataset:
Activated carbon based on squash (Cucurbita sp.) peel for removal of total and free chloride in drinking water

This research aimed to produce activated carbon by chemical activation of an unconventional material, squash (Cucurbita sp.) peel residues, with the purpose of removing total and free chlorine from drinking water in Tumbes city. Activation of the residual biomass was carried out with zinc chloride at 600 °C for of 2 h in inert conditions (nitrogen flux). Prepared activated carbon depicted a good micro-mesoporous structure reaching a surface area of 774.6 m2/g, total pore volume of 0.50 cm3/g and a microporous volume of 0.34 cm3/g. The produced adsorbent was used to satisfactorily remove of total and free chlorine of drinking water in Tumbes city. The free and total chlorine adsorption kinetics data from the produced activated carbon are adjusted the best to the pseudo-second order model with maximum values of equilibrium adsorption capacity (qe) of free and total chlorine of up to 3.6 and 3.1 mg/g respectively. Additionally, the fact that the adsorption kinetic data are adjusted to the intraparticular diffusion model assumes that this is the mechanism that limits the adsorption process. The percentages of removal of total and residual chlorine from drinking water reach values of up to 100%. Produced activated carbon from squash peel is a promising adsorbent for using in water treatment.
Solubility enhancement of ibuprofen in oral liquid preparations using basic amino acids as counter ions

Background: The recent advance in combinatorial chemistry to find new drug candidates has increased the number of compounds having low solubi lity profile, which makes them more difficult and less desirable for further dosage for m development. Salt formation is one of the most common and preferred method for increasing the aqueous solubility of poor soluble drugs. Basic amino acids are considered fairly strong base s with the advantages of self-buffering in the formulation as well as producing salts that have pl easant tastes and less likely to be affected by the common-ion effect.
A Novel SiC MOSFET With Embedded Auto-Adjust JFET With Improved Short Circuit Performance

In this letter, a novel planar gate SiC MOSFET with embedded auto-adjust normally-on JFET (ADJ-MOSFET) is proposed and characterized to improve short circuit capability. The normally-on auto-adjust JFET (AD-JFET) is embedded in P-well region as the conduction path of electrons from N-type source to the channel region of SiC MOSFET. Meanwhile, the P-type source of device splits into two parts, one of which serves as the gate of AD-JFET. Under high DC bus voltage (short circuit) conditions, the effective channel width of AD-JFET will be reduced by the increased depletion charge. Therefore, the potential barrier of AD-JFET channel will increase rapidly, making it difficult for electrons transporting. The potential barrier of AD-JFET will be adjusted by that of the JFET region in drift region automatically, resulting in a reduction of the saturation (peak short circuit) current caused by the higher potential barrier of SiC MOSFET. Compared with conventional planar gate SiC MOSFET, ADJ-MOSFET not only reduces 33% peak short circuit current, but also increases short circuit withstanding time from <inline-formula> <tex-math notation="LaTeX">$8~\mu \text{s}$ </tex-math></inline-formula> to 14 <inline-formula> <tex-math notation="LaTeX">$\mu \text{s}$ </tex-math></inline-formula> under 800 V DC bus voltage. Furthermore, an auto-adjust JFET barrier model is proposed for SiC ADJ-MOSFET.
The Impact of Different Types of Orthodontic Appliances and Its Location in Producing CT Scan Artefacts

Fixed orthodontic appliances can produce metal artefacts in CT images which may degrade the diagnostic image quality. The study aimed to evaluate the artefacts based on the types and location of the metallic and non-metallic orthodontic brackets. This is an in-vitro cross-sectional study. Four different types of orthodontic brackets (stainless steel, titanium, monocrystalline, and polycrystalline ceramic bracket) were bonded consecutively in four different locations of the cadaveric skull. All scans were performed by a single operator using the same CT machine followed by a standard scanning protocol. Artefact intensity for all data sets was quantified by calculating the standard deviation (SD) of the grey values within the dataset by following a standard method. The One-way ANOVA Bonferroni test was used for the data analysis. The mean artefact score of the stainless steel bracket was significantly (p < 0.001) high in comparison with other types of the orthodontic brackets. Besides, the mean artefact score was significantly (p=0.002) low when orthodontic brackets were placed unilaterally. Stainless steel brackets produced a significant amount of noise in CT images which can degrade the diagnostic image quality. Thus, the polycrystalline ceramic bracket can be a better alternative of stainless steel brackets for patient need frequent CT scan.
Oncolytic Viruses: Newest Frontier for Cancer Immunotherapy

Simple Summary Oncolytic viruses (OVs) are viruses that selectively target and kill cancer cells while sparing normal ones. OVs are from diverse families of viruses, but naturally occurring OVs have been genetically engineered due to their limitations in therapeutic application. These engineered OVs with enhanced tumor targeting ability, oncolytic activity, or generating potent anti-tumor immune responses are tested in preclinical animal models and cancer patients in clinical trials. Due to their multi-mechanistic anti-tumor effects, OVs have emerged one of the key cancer immunotherapy agents. However, due to the limited success with novel anti-cancer therapies such as immunotherapies and cell-based therapies, combination therapies should be tested with OVs. We discuss such combination therapies that are explored to further improve oncolytic virotherapy. Abstract Cancer remains a leading cause of death worldwide. Despite many signs of progress, currently available cancer treatments often do not provide desired outcomes for too many cancers. Therefore, newer and more effective therapeutic approaches are needed. Oncolytic viruses (OVs) have emerged as a novel cancer treatment modality, which selectively targets and kills cancer cells while sparing normal ones. In the past several decades, many different OV candidates have been developed and tested in both laboratory settings as well as in cancer patient clinical trials. Many approaches have been taken to overcome the limitations of OVs, including engineering OVs to selectively activate anti-tumor immune responses. However, newer approaches like the combination of OVs with current immunotherapies to convert “immune-cold” tumors to “immune-hot” will almost certainly improve the potency of OVs. Here, we discuss strategies that are explored to further improve oncolytic virotherapy.
Evaluation of metabolic factors affecting the presence of hepatosteatosis and the effect of insulin like growth factor-1 level in overweight and obese children

Although previous studies related to non-alcoholic fatty liver disease (NAFLD) in childhood were predominantly ALT and uric acid level, the number of studies that have been handled in terms of insulin like growth factor-1 (IGF-1) level or IGF-1 standard deviation score (SDS) is limited. In this study, all factors that may affect NAFLD, including IGF-1 level and IGF-1 SDS, were evaluated in two groups of children who were not statistically different from each other in terms of age, gender, weight, height, body mass index and puberty. This study was a cross sectional study. 36 children with evidence of fatty liver disease on ultrasound imaging and 38 children without it were included in the study. Anthropometric data, laboratory measurements and radiological results of all participants were evaluated. All factors that could affect NAFLD were evaluated by binary logistic regression analysis. Weight, weight SDS, body mass index (BMI) SDS, homeostasis model assessment of insulin resistance (HOMA-IR), AST, ALT, GGT, uric acid, triglyceride, HDLcholesterol, IGF-1, IGF-1 SDS were evaluated in this model to predict NAFLD. In the statistical model, the percentage of predicting those with NAFLD, that is, the sensitivity, was 88.9%, while the detection rate of those without NAFLD, that is, the specificity, was 94.7%. IGF-1 level was found to be significantly lower in the group with NAFLD (p: 0.04), but there was no significant difference between the groups in terms of IGF-1 SDS (p: 0.10). There are conflicting results in studies examining the relationship between IGF-1 SDS and NAFLD. This may be due to ethnicity, regional differences, kit-specific laboratory reference ranges, or method of measurement. Laboratory measurements including appropriate parameters with a detailed physical examination can be used to predict the presence of NAFLD without the need for radiological examination.
Spatial Distribution, Risk Assessment,
and Seasonal Variations of 4-nonylphenol
in China’s Yinma River Basin

In recent decades the Yinma River Basin has been receiving increasing pollution from industrial and domestic wastewater, agriculture, and livestock production – which are all potential 4-NP pollution sources. Thus, this work investigated spatial-seasonal distribution, risks, and seasonal variations of 4-nonylphenol in the aquatic environment of the Yinma River Basin. The results indicated that the highest concentrations in water and sediment occurred in livestock-production, industrial, and domestic-wastewater areas, and the lowest occurred in agricultural areas; a seasonal variation in 4-NP concentrations in water was observed, with the highest concentrations occurring in the dry season and the lowest concentrations in the wet season. The results for risk quotient indicated that in three water seasons, low ecological risks of 4-NP in water primarily occurred in agricultural areas, and high ecological risks occurred downstream of domestic-wastewater drainage; the ecological risks of 4-NP in sediment from all the sampling sites were exposed to moderate or high ecological risks. Based on the results for hazard quotient, a seasonal variation in human health risks of 4-NP in water was observed; except for a sampling site located downstream of domestic wastewater drainage, human health risks of 4-NP in
Load-Side Reaction Force Control Based on Model-Matching Controller for Two-Inertia System with Environment

In a two-inertia system, load-side control is relatively simple to design using a cascade controller with a torsion torque controller in the minor-loop. However, the control bandwidth of the outer controller, such as the load-side reaction force controller, is affected by the bandwidth of the minor-loop. Thus, this paper proposes load-side reaction force control based on model-matching control. To realize a simple model-matching control, an equivalent disturbance compensator (EDC) is applied to torsion torque controller. The EDC is able to be used to suppress disturbance, such as the reaction force to the torsion torque. Moreover, the torsion torque and environmental vibration mode are separated. The effectiveness of the proposed control is verified through numerical simulations and experiments.
Cerebrospinal Fluid IgM and Oligoclonal IgG Bands in Multiple Sclerosis: A Meta-Analysis of Prevalence and Prognosis

The presence of intrathecal IgM synthesis (ITMS) has been associated with an aggressive multiple sclerosis (MS) clinical course. In the present systematic review, we aimed at assessing the prevalence of ITMS among different MS phenotypes. Moreover, we aimed at quantifying the risk of a second relapse in ITMS positive and oligoclonal IgG bands (OCGBs)-positive patients. We selected clinical studies reporting the ITMS prevalence assessed as oligoclonal IgM Bands (OCMBs), lipid-specific OCMBs (LS-OCMBs), and/or as an intrathecal IgM production > 0% (IgMLoc, Reiber formula). The overall prevalence of ITMS was higher in relapsing-remitting (RR) than clinically isolated syndrome (CIS) patients (40.1% versus 23.8%, p < 0.00001), while was in line with that detected in primary progressive MS (PPMS, 26.7%). Almost all patients (98%) with ITMS had also OCGBs. The risk of having a second relapse was higher in OCGBs positive patients (HR = 2.18, p = 0.007) but much higher in ITMS positive patients (HR = 3.62, p = 0.0005). This study revealed that the prevalence of ITMS is higher in RRMS patients. It suggests that the risk of having a second relapse, previously ascribed to OCGBs, may, to a certain extent, be related to the presence of intrathecal IgM.
Exploring In-Service Teachers' Self-Efficacy Beliefs regarding Online Teaching: ..

This qualitative multi-case study aims to understand the self-efficacy beliefs of in-service teachersconcerning online teaching. The technological pedagogical content knowledge framework was incorporated tooutline the self-efficacy beliefs of in-service teachers for conducting online teaching successfully, especially in thisadvanced learning environment. The self-efficacy theory by Bandura and TPACK framework by Koehler and Mishrawas used as the conceptual foundation, and in keeping with that, semi-structured interviews were conducted withfive in-service teachers who were also enrolled in a teacher education program. The study found the high self-efficacyof in-service teachers regarding online teaching as in-service teachers find themselves comfortable in onlineteaching. Based on the literature review and findings of the study, it is suggested that the TPACK frameworkinformed online teaching should be incorporated in pre-service and in-service teacher training programs in order toenhance their knowledge, skills, and positive attitudes towards effective online teaching.
When galaxies align: intrinsic alignments of the progenitors of elliptical galaxies in the Horizon-AGN simulation

Elliptical galaxies today appear aligned with the large-scale structure of the Universe, but it is still an open question when they acquire this alignment. Observational data is currently insufficient to provide constraints on the time evolution of intrinsic alignments, and hence existing models range from assuming that galaxies gain some primordial alignment at formation, to suggesting that they react instantaneously to tidal interactions with the large-scale structure. Using the cosmological hydrodynamical simulation Horizon-AGN, we measure the relative alignments between the major axes of galaxies and eigenvectors of the tidal field as a function of redshift. We focus on constraining the time evolution of the alignment of the main progenitors of massive z = 0 elliptical galaxies, the main weak lensing contaminant at low redshift. We show that this population, which at z = 0 has a stellar mass above 1010.4 M⊙, transitions from having no alignment with the tidal field at z = 3, to a significant alignment by z = 1. From z = 0.5 they preserve their alignment at an approximately constant level until z = 0. We find a mass-dependence of the alignment signal of elliptical progenitors, whereby ellipticals that are less massive today (1010.4 < M/M⊙ < 1010.7) do not become aligned till later redshifts (z < 2), compared to more massive counterparts. We also present an extended study of progenitor alignments in the parameter space of stellar mass and galaxy dynamics, the impact of shape definition and tidal field smoothing.
Deep Contextualized Self-training for Low Resource Dependency Parsing

Abstract Neural dependency parsing has proven very effective, achieving state-of-the-art results on numerous domains and languages. Unfortunately, it requires large amounts of labeled data, which is costly and laborious to create. In this paper we propose a self-training algorithm that alleviates this annotation bottleneck by training a parser on its own output. Our Deep Contextualized Self-training (DCST) algorithm utilizes representation models trained on sequence labeling tasks that are derived from the parser’s output when applied to unlabeled data, and integrates these models with the base parser through a gating mechanism. We conduct experiments across multiple languages, both in low resource in-domain and in cross-domain setups, and demonstrate that DCST substantially outperforms traditional self-training as well as recent semi-supervised training methods.1
Efeito antimutagênico do resveratrol obtido a partir do bagaço da vinicultura

O resveratrol é um polifenol presente em uvas de variedade Vitis vinífera, americanas e híbridas amplamente conhecido por seu valor terapêutico e cosmético, além de ser um antioxidante natural. O presente trabalho propôs confirmar, por meio de ensaio in vitro, a sua propriedade anti-câncer, bem como a aplicação biológica do princípio ativo. A atividade anti-mutagênica foi testada por meio do ensaio de Allium cepa. Sementes de A.cepa foram expostas ao herbicida trifluralina juntamente com diferentes concentrações do resveratrol. Os resultados confirmaram a atividade anti-mutagênica do resveratrol, pela reversão do efeito mutagênico da trifluralina, que foi proporcional à concentração, até 1ppm, após a qual não houve efeito adicional.
Preservation of Anomalous Subgroups On Machine Learning Transformed Data

In this paper, we investigate the effect of machine learning based anonymization on anomalous subgroup preservation. In particular, we train a binary classifier to discover the most anomalous subgroup in a dataset by maximizing the bias between the group's predicted odds ratio from the model and observed odds ratio from the data. We then perform anonymization using a variational autoencoder (VAE) to synthesize an entirely new dataset that would ideally be drawn from the distribution of the original data. We repeat the anomalous subgroup discovery task on the new data and compare it to what was identified pre-anonymization. We evaluated our approach using publicly available datasets from the financial industry. Our evaluation confirmed that the approach was able to produce synthetic datasets that preserved a high level of subgroup differentiation as identified initially in the original dataset. Such a distinction was maintained while having distinctly different records between the synthetic and original dataset. Finally, we packed the above end to end process into what we call Utility Guaranteed Deep Privacy (UGDP) system. UGDP can be easily extended to onboard alternative generative approaches such as GANs to synthesize tabular data.
Pandemic promises: Interrogating espoused data‐informed decision‐making

Abstract The depths of the impact of COVID‐19 on nearly every aspect of our personal and professional lives was becoming painfully clear in May and June of 2020. While institutions of higher education had implemented crisis/emergency plans in the immediate onset of the pandemic, and largely extended those efforts into summer terms, the fall 2020 term loomed large. Institutional researchers were asked for myriad kinds of data and reports, ostensibly to inform executive leaders’ decision‐making regarding how to operate for the fall term. On its face, this fits with the current conceptualization of IR's work largely as decision support. Despite these requests, however, the question remains as to what was really driving decision‐making about the fall. This research examined a random, representative sample of public statements regarding fall operations, often released in the name of a president or chancellor, to determine what factors these leaders espoused publicly as informing their fall plans.
Left orderable surgeries for genus one two-bridge knots

For a knot $K$ in $S^3$, a rational number $r$ is called a left orderable slope for $K$ if the 3-manifold obtained from $S^3$ by $r$-surgery along $K$ has left orderable fundamental group. In this note we consider the genus one two-bridge knots $C(2m, - 2n)$ in the Conway notation, where $m, n$ are integers $\ge 1$. We show that any rational number $r \in (-\infty, 0)$ is a left orderable slope for $C(2m, - 2n)$. Combining this with results in [HTe1, Tr], we conclude that any rational number $r \in (-\infty, \max\{4m, 4n\})$ is a left orderable slope for $C(2m, - 2n)$, where $m, n$ are integers $\ge 1$.
Pressure-driven switching of magnetism in layered CrCl3

Layered transition-metal compounds with controllable magnetic behaviors provide many fascinating opportunities for the fabrication of high-performance magneto-electric and spintronic devices. The tuning of their electronic and magnetic properties is usually limited to the change of layer thickness, electrostatic doping, and the control of electric and magnetic fields. However, pressure has been rarely exploited as a control parameter for tailoring their magneto-electric properties. Here, we report a unique pressure-driven isostructural phase transition in layered CrCl3 accompanied by a simultaneous switching of magnetism from a ferromagnetic to an antiferromagnetic ordering. Our experiments, in combination with ab initio calculations, demonstrate that such a magnetic transformation hinders the band-gap collapse under pressure, leading to an anomalous semiconductor-to-semiconductor transition. Our findings not only reveal high potential of CrCl3 in electronic and spintronic applications under ambient and extreme conditions but also establish the basis for exploring unusual phase transitions in layered transition-metal compounds.
Consumer learning behavior in adoption Tani Hub e-commerce

As e-commerce develops in Indonesia, sales of fresh fruit and vegetable products move from physical stores to virtual markets through technological innovation. The adoption of e-commerce is marked by changes in purchasing behavior of fresh fruits and vegetables that originally relied on the senses, now mediated by a screen measuring at least 7 inches. Interaction between seller and buyer, or buyer with buyer also mediated. This condition does not require consumers to be able to see, hold and smell the product they want directly. When compared with conventional methods, the purchase of fresh vegetables and fruit through e-commerce has risks, namely uncertainty such as the physical quality of the product, taste or freshness. Consumers need knowledge and experience to reduce this uncertainty, where this knowledge and experience is obtained through a consumer learning process. This study describes the forms of consumer learning behavior starting from the beginning to get acquainted with adopting e-commerce. The research method used is qualitative with descriptive research type, and the method of data collection in the form of in-depth interviews with informants who are adopters of the Surabaya branch of the E-Commerce Tani Hub. This informant consists of a group of friends who have the same values, namely implementing a lifestyle and eating healthy food. The results of this study are in the form of learning behaviors shown by Tani Hub consumers through the process of information exchange with information sources that they consider credible, namely friendship circles and also primary information from the Tani Hub’ company itself.