Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of a 12-minute educational video prior to initial consultation in a Mature Women’s Health and Menopause Clinic

Objectives: Assess acceptability of a 12-minute educational video before menopause clinic consultation and evaluate its impact on knowledge and treatment certainty. Methods: This was a pre-post intervention study among new patients with vasomotor symptoms (VMS) referred to a menopause clinic in Toronto, Canada. Participants completed electronic questionnaires before and after viewing a 12-minute online video covering menopause facts and VMS treatments. Participants ’ demographic information and referring provider type were recorded. A 19-item true/false knowledge quiz and validated Decision Conflict Scale (DCS) were administered before and after viewing the video along with a validated Acceptability questionnaire after the video. Demographic information and acceptability were summarized descriptively and independent samples t tests compared knowledge and DCS total and subscores before and after viewing the education module. Multivariable analysis was used to identify factors associated with achieving treatment certainty. Results: Seventy-one participants completed pre- and postintervention questionnaires. Mean agewas 51.4 ± 6.0 years and most were White (58/71, 81.7%), had a university degree (24/71, 63.3%) and household income >$90,000 (53/71, 74.6%). After the video, there was significant increase in knowledge score (12.7 ± 2.1 vs. 16.9 ± 1.8, P < 0.001) and decrease in all DCS scores (total and five subscores) compared with preintervention scores ( P < 0.001). Acceptability was high with 62/71 (87.3%) respondents indicating the tool was useful. Findings were independent of level of education, household income, and referring physician type. In a study of predominantly university-educated White women, a 12-minute education module on menopause and VMS treatment was acceptable, there was improved knowledge and decision certainty about VMS treatment.
Targeting method of heat exchanger network in olefin unit of oil refinery

Optimum design of HEN can cause significant reduction in the total cost of the plant. Targeting method using pinch analysis diagrams was presented to find out investment cost required and the period of return of the investment of optimization of the refinery system. This method can be done by knowing the amount of ΔTmin and by pointing the composite curve of saving vs investment (S-I curve). The targeting method is the modification of the system that need to be done to avoid movement of heat exchangers in order to minimize the return of the investment. This method can assist refineries management to make decision in order to optimize the refinery system.Result shows that refinery can reduce the temperature on the main tower until 9.65MW and the investment will be $360,000 with the time of the return cost being 7.7 months.
Insights into the Pharmacokinetics and In Vitro Cell-Based Studies of the Imidazoline I2 Receptor Ligand B06

The impact of neurodegenerative diseases (ND) is becoming unbearable for humankind due to their vast prevalence and the lack of efficacious treatments. In this scenario, we focused on imidazoline I2 receptors (I2-IR) that are widely distributed in the brain and are altered in patients with brain disorders. We took the challenge of modulating I2-IR by developing structurally new molecules, in particular, a family of bicyclic α-iminophosphonates, endowed with high affinity and selectivity to these receptors. Treatment of two murine models, one for age-related cognitive decline and the other for Alzheimer’s disease (AD), with representative compound B06 ameliorated their cognitive impairment and improved their behavioural condition. Furthermore, B06 revealed beneficial in vitro ADME-Tox properties. The pharmacokinetics (PK) and metabolic profile are reported to de-risk B06 for progressing in the preclinical development. To further characterize the pharmacological properties of B06, we assessed its neuroprotective properties and beneficial effect in an in vitro model of Parkinson’s disease (PD). B06 rescued the human dopaminergic cell line SH-SY5Y from death after treatment with 6-hydroxydopamine (6-OHDA) and showed a crucial anti-inflammatory effect in a cellular model of neuroinflammation. This research reveals B06 as a putative candidate for advancing in the difficult path of drug discovery and supports the modulation of I2-IR as a fresh approach for the therapy of ND.
3D paviršiaus formavimo 2D vaizdų pagrindu algoritmų tyrimas

Tobulėjant technologijoms pramonės ir viešajame sektoriuose informacijos atvaizdavimui vis dažniau yra naudojami trimačiai vaizdai, leidžiantys darbuotojams lengviau suprasti gautus rezultatus ar surinktą informaciją. Nors šiuo metu jau egzistuoja algoritmai leidžiantys standartinėmis priemonėmis surinktų 2D vaizdų pagrindu formuoti trimačius vaizdus, tačiau tokių algoritmų pateikiamų rezultatų kokybę dar vis smarkiai atsilieka nuo rinkos poreikio. Šio tyrimo metu buvo atliekama esamų algoritmų analizė siekiant pasiūlyti sprendimą, kuris leistų pasiekti geresnius rezultatus lyginant su literatūroje nagrinėjamais atvejais. Rezultate autorių pasiūlyta algoritmu kombinacija leidžia suformuoti 3D paviršiu remiantis santykinai nedideliu 2D vaizdų kiekiu.
Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions

Nowadays, multiagent reinforcement learning (MARL) have shared significant advances in the adaptive traffic signal control (ATSC) problems. For most of the researches, agents are all isomorphic, which disregards the situation in which isomerous intersections cooperative together in a real ATSC scenario, especially in epidemic regions where different intersections have quite different levels of importance. To this end, this paper models the ATSC problem as a networked Markov game (NMG), in which agents take into account information, including traffic conditions of it and its connected neighbors. A cooperative MARL framework named neighborhood cooperative hysteretic DQN (NC-HDQN) is proposed. Specifically, for each NC-HDQN agent in the NMG, first, the framework analyses correlation degrees with their connected neighbors and weighs observations and rewards by these correlations. Second, NC-HDQN agents independently optimize their strategies on the weighted information using hysteretic DQN (HDQN), which is designed to learn optimal joint strategies in cooperative multiagent games. Third, a rule-based NC-HDQN method and a Pearson correlation coefficient based NC-HDQN method, i.e., empirical NC-HDQN (ENC-HDQN) and Pearson NC-HDQN (PNC-HDQN), respectively, are designed. The first method maps the correlation degree between two connected agents according to vehicle numbers on roads between the two agents. In contrast, the second method uses the Pearson correlation coefficient to calculate the correlation degree adaptively. Our methods are empirically evaluated in both a synthetic scenario and two real-world traffic scenarios and give better performances in almost every standard test metric for ATSC.
Phytochemical Composition and Bioactivities of Aqueous Extract of Rambutan (Nephelium lappaceum L. cv. Rong Rian) Peel

Thailand is one of the leading exporting countries of rambutan and rambutan peels are considered as a biological waste. In this study, rambutan (Nephelium lappaceum L. cv. Rong Rian) peel extracts (RPE) obtained by water extraction were analyzed for their phytochemical composition, antibacterial and antioxidant activities, and cytotoxicity. The bioactive compounds in RPE identified by GC-MS were mome inositol (35.99 mg/g), catechol (29.37 mg/g), 5-hydroxymethylfurfural (5.69 mg/g), 2-pentenal, (E)-(5.22 mg/g), acetic acid (3.69 mg/g), 1,2,3-propanetriol (3.67 mg/g), 2-furan-carboxaldehyde (2.66 mg/g), and other compounds. FT-IR analysis confirmed the presence of alcohol and phenol in the extract. Antibacterial activities of RPE against food pathogenic and spoilage bacteria showed that RPE could inhibited Bacillus subtilis, B. cereus, Staphylococcus aureus, Vibrio cholerae, V. parahaemolyticus, Pseudomonas aeruginosa, and P. fluorescens, with MIC values ranging between 1024 and 8192 µg/mL. The extract also showed antioxidant properties, as determined by DPPH and ABTS assays. The cytotoxicity analysis after 72 h of treatment showed the IC50 values at 194.97 ± 4.87, 205.92 ± 2.55, and 94.11 ± 1.33 µg/mL for L929, Vero, and MCF-7 cell lines, respectively. Therefore, this study provided a basis of knowledge of rambutan peels as an excellent source of natural bioactive compounds for various applications.
The Use of Kahoot! In Foreign Language Teaching

: Due to a widespread use of technology in the previous period, as well as the fact that the learners mostly belong to generations Alpha and Z, who are technology literate, there is an increasing need to implement ICT tools in the context of teaching foreign languages. Since the attention span of young learners is getting shorter, the teachers are trying to find ways to make lessons livelier and more engaging, which is not that difficult any more due to an abundance of online games at our disposal. One of the most efficient and most often used platforms in modern language teaching is Kahoot! , which is a free game-based learning platform, easy to use in all learning environments. This paper deals with the use of Kahoot! in foreign language teaching with the intention to prove that it affects the classroom dynamics, raises learners’ motivation and contributes to more efficient acquiring of new language content. The comparative survey has been conducted in Radoje Domanović Primary School and Singidunum University, confirming that the impact of games on the learning process and motivation is the same with no regard to the age difference. The results indicate that the proper student engagement and interaction in the classroom increases the learners’ willingness to attend classes and improve their knowledge. What is more, learners should be encouraged to make their own Kahoots! for homework, which could be a challenge and additional motivation in the process of learning foreign languages.
Combined RIS and EBG Surfaces Inspired Meta-Wearable Textile MIMO Antenna Using Viscose-Wool Felt

In this paper, we present a textile multiple-input–multiple-output (MIMO) antenna designed with a metamaterial inspired reactive impedance surface (RIS) and electromagnetic bandgap (EBG) using viscose-wool felt. Rectangular RIS was used as a reflector to improve the antenna gain and bandwidth to address well known crucial challenges—maintaining gain while reducing mutual coupling in MIMO antennas. The RIS unit cell was designed to achieve inductive impedance at the center frequency of 2.45 GHz with a reflection phase of 177.6°. The improved bandwidth of 170 MHz was achieved by using a square shaped RIS under a rectangular patch antenna, and this also helped to attain an additional gain of 1.29 dBi. When the antenna was implemented as MIMO, a split ring resonator backed by strip line type EBG was used to minimize the mutual coupling between the antenna elements. The EBG offered a sufficient band gap region from 2.37 GHz to 2.63 GHz. Prior to fabrication, bending analysis was carried out to validate the performance of the reflection coefficient (S11) and transmission coefficient (S21). The results of the analysis show that bending conditions have very little impact on antenna performance in terms of S-parameters. The effect of strip line supported SRR-based EBG was further analyzed with the fabricated prototype to clearly show the advantage of the designed EBG towards the mutual coupling reduction. The designed MIMO-RIS-EBG array-based antenna revealed an S21 reduction of −9.8 dB at 2.45 GHz frequency with overall S21 of <−40 dB. The results also indicated that the proposed SRR-EBG minimized the mutual coupling while keeping the mean effective gain (MEG) variations of <3 dB at the desired operating band. The specific absorption rate (SAR) analysis showed that the proposed design is not harmful to human body as the values are less than the regulated SAR. Overall, the findings in this study indicate the potential of the proposed MIMO antenna for microwave applications in a wearable format.
The effects of silkworm cocoon (Bombyx mori) wound dressing applications to the COX-2 expression and the number of neutrophils after skin excision wounds (in vivo research on Wistar rats)

Background: Silkworm cocoons are materials that have fine regenerating abilities for the human body. Fibroin and sericin present in silkworm cocoons (Bombyx mori) are thought to have anti-inflammatory effects. This study aimed to know the effects of the use of wound dressing from silkworm cocoons toward COX-2 expression and neutrophils number in the inflammatory phase after skin excision. Methods: Twelve male Wistar rats according to inclusion criteria were randomly divided into 4 groups, each group of 6, based on the decapitation time (the 3rd day and the 6th day) and based on the dressing material (moist gauze dressing as the control group and silkworm cocoons as the treatment group). Each group was performed an excision on the dorsal skin with subcutaneous depth using a 4 mm-round punch biopsy. Neutrophil cell observations were performed by Hematoxylin eosin staining (HE). COX-2 expression was found in preparations for immunohistochemical staining using rabbit monoclonal COX-2 antibody at sacrificed period on the 3rd and the 6th day after wound dressing application. Results: The number of neutrophils and expression of COX-2 were analyzed using Two-way ANOVA and Independent t-test. The results showed a significant decrease in the number of COX-2 expression on inflammatory cells as well as the number of neutrophils (p<0.005) in the groups treated with wound dressing from silkworm cocoons on both the 3rd and 6th day. Conclusions: It was concluded that the use of wound dressing from silkworm cocoons can inhibit COX-2 expression (p=0,000) and decrease the number of neutrophils in the inflammatory phase after skin excision (p=0,001).
Resilience in the Ranks: Trait Mindfulness and Self-Compassion Buffer the Deleterious Effects of Envy on Mental Health Symptoms among Public Safety Personnel

Public safety personnel (PSP) face frequent stressors that increase their risk of developing symptoms of depression and anxiety. In addition to being exposed to potentially traumatic events, PSP trainees may face a compounded risk of developing mental health symptoms, as their training environments are conducive to social comparisons and the resultant painful emotion of envy. Envy is associated with numerous negative health and occupational outcomes. Fortunately, there are several individual difference factors associated with increased emotional regulation, and such factors may offer resilience against the damaging mental health effects of envy. In this study, we examined the interplay between dispositional mindfulness, self-compassion, and dispositional envy in predicting job satisfaction, stress, experience of positive and negative emotions, subjective resilience, and symptoms of depression and anxiety in a sample of police trainees (n = 104). A substantial minority of trainees reported clinically significant symptoms of depression (n = 19:18.3%) and anxiety (n = 24:23.1%) in accordance with the cut-off scores on screening measures. Consistent with hypotheses, dispositional envy was associated with lower job satisfaction, greater stress, and greater anxiety and depression. Furthermore, envy was associated with higher negative emotions, lower positive emotions, and lower subjective resilience. Dispositional mindfulness and self-compassion were associated with greater job satisfaction, lower stress, and reduced symptoms of depression and anxiety. Moreover, mindfulness and self-compassion were both associated with lower negative emotions, higher positive emotions, and subjective resilience. The associations between envy and the relevant job and mental health outcomes were significantly diminished after controlling for mindfulness and self-compassion. This suggests that these protective traits may serve as transdiagnostic buffers to the effects of envy on mental health. The results of this study confirmed the damaging effects of envy and suggested the potential remediation of these effects through the cultivation of mindfulness and self-compassion.
Fuzzy VIKOR approach to identify COVID-19 vulnerability region to control third wave in Assam, India

These days, the appraisal of the COVID-19 vulnerability has become a difficult errand for the whole world. The COVID-19 administration dynamic issue frequently includes numerous elective arrangements clashing standards. In this paper, we present a multi-criteria decision-making (MCDM) procedure based on the fuzzy VIKOR method to survey the COVID-19 vulnerability in the state of Assam, India. The trapezoidal fuzzy number is utilized to evaluate the rating of the loads for the set-up models. We have observed environment, social, and Medical factors after observing the spread of COVID-19. To study and to have comments, a committee of five experts has been formed from a different region of Assam to observe and comment to identify Coronavirus’s weakest factors. For a better survey, we have divided the state into four areas namely Rural Area, Urban Area, Market Area in Rural Area, and Market Area in Urban Area. The current research looked at how the fuzzy VIKOR selects provinces for urgent adaptation needs differently than a traditional MCDM technique.
Measurement report: Vertical profiling of particle size distributions over Lhasa, Tibet – tethered balloon-based in situ measurements and source apportionment

Abstract. In situ measurements of vertically resolved particle size distributions based on a tethered balloon system were carried out for the first time in the highland city of Lhasa over the Tibetan Plateau in summer 2020, using portable optical counters for the size range of ​​​​​​​0.124–32 µm. The vertical structure of 112 aerosol profiles was found to be largely shaped by the evolution of the planetary boundary layer (PBL), with a nearly uniform distribution of aerosols within the daytime mixing layer and a sharp decline with the height in the shallow nocturnal boundary layer. During the campaign, mass concentrations of particulate matter smaller than 2.5 µm in aerodynamic diameter (PM2.5) within the PBL ranged from 0.5 to 12.0 µg m−3, with an average and standard deviation of 3.4 ± 2.3 µg m−3, almost 4 times the amount in the free troposphere (FT), which was rarely affected by surface anthropogenic emissions. Though there was a lower level of particle mass in the residual layer (RL) than in the PBL, a similarity in particle mass size distributions (PMSDs) suggested that particles in the RL might be of the same origin as the particles in the PBL. This was also consistent with the source apportionment analysis based on the PMSDs. In total, three distinct modes were observed in the PMSDs for the PBL and the RL. One mode was exclusively coarse particles up to roughly 15 µm, peaking around 5 µm. More than 50 % of total particle mass was often contributed by coarse-mode particles in this area, which was thought to be associated with local dust resuspension. The mode peaking over 0.5–0.7 µm was representative of biomass burning on religious holidays and was found to be most pronounced on holiday mornings. The contribution from the religious burning factor rose from about 25 % on non-holidays to nearly 50 % on holiday mornings. The mode dominated by particles smaller than 0.3 µm was thought to be associated with combustion-related emissions and/or secondary aerosol formation. In the FT coarse mode, particles only accounted for less than 10 % of the total mass, and particles larger than 5 µm were negligible. The predominant submicron particles in the FT might be related to secondary aerosol formation and the aging of existing particles. To give a full picture of aerosol physical and chemical properties and better understand the origin and impacts of aerosols in this area, intensive field campaigns involving measurements of vertically resolved aerosol chemical compositions in different seasons would be highly encouraged in the future.
Smart Methylcellulose Hydrogels for pH-Triggered Delivery of Silver Nanoparticles

Infection is a severe complication in chronic wounds, often leading to morbidity or mortality. Current treatments rely on dressings, which frequently contain silver as a broad-spectrum antibacterial agent, although improper dosing can result in severe side effects. This work proposes a novel methylcellulose (MC)-based hydrogel designed for the topical release of silver nanoparticles (AgNPs) via an intelligent mechanism activated by the pH variations in infected wounds. A preliminary optimization of the physicochemical and rheological properties of MC hydrogels allowed defining the optimal processing conditions in terms of crosslinker (citric acid) concentration, crosslinking time, and temperature. MC/AgNPs nanocomposite hydrogels were obtained via an in situ synthesis process, exploiting MC both as a capping and reducing agent. AgNPs with a 12.2 ± 2.8 nm diameter were obtained. MC hydrogels showed a dependence of the swelling and degradation behavior on both pH and temperature and a noteworthy pH-triggered release of AgNPs (release ~10 times higher at pH 12 than pH 4). 1H-NMR analysis revealed the role of alkaline hydrolysis of the ester bonds (i.e., crosslinks) in governing the pH-responsive behavior. Overall, MC/AgNPs hydrogels represent an innovative platform for the pH-triggered release of AgNPs in an alkaline milieu.
Digital Game-Based Learning Can Develop Students’ Literacy Skills and Meet Learning Standards in the US

Abstract Digital Game Based Learning (DGBL) was considered as an effective way to engage learners and enhance learning performance. This case study demonstrates a design case that uses DGBL to support writing practices using student-centered pedagogy in K-12 education. Minecraft is used as a tool of transferring students’ imagination and abstract design to actual writing and building. We investigated a curriculum of adopting Minecraft in writing practices and analyzed students’ writing artifacts to identify the elements that fulfill US Common Core State Standards (CCSS) requirements in a rich digital learning environment. In this study, we found that using DGBL could develop students’ literacy skills that meet CCSS in a student-centered curriculum and eventually support students to prepare for standardized tests. Implications for K-12 educators are also considered.