Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of COSMO-RS-DARE as a Tool for Testing Consistency of Solubility Data: Case of Coumarin in Neat Alcohols

Coumarin is a naturally occurring lactone-type benzopyrone with various applications in the pharmaceutical, food, perfume, and cosmetics industries. This hydrophobic compound is poorly soluble in water but dissolves well in protic organic solvents such as alcohols. Despite the extensive use of coumarin, there are only a few reports documenting its solubility in organic solvents, and some reported data are incongruent, which was the direct impulse for this study. To resolve this problem, a theoretical congruency test was formulated using COSMO-RS-DARE for the determination of intermolecular interaction parameters, which allowed for the identification of outliers as suspicious datasets. The perfect match between back-computed values of coumarin solubility and the experimental ones confirms the reliability of the formulated theoretical approach and its adequacy for testing solubility data consistency. As the final approval, the temperature-related coumarin solubility in seven neat alcohols was determined experimentally. Four solvents (methanol, ethanol, 1-propanol, and 2-propanol) were used for reproducibility purposes, and an additional three (1-butanol, 1-pentanol, and 1-octanol) were used to extend the information on the homologous series. The consistency of this extended solubility dataset is discussed in terms of the comparison of remeasured solubility values with the ones already published and within the series of structurally similar solvents. The proposed procedure extends the range of applicability of COSMO-RS-DARE and provides a real and useful tool for consistency tests of already published solubility data, allowing for the approval/disapproval of existing data and filling gaps in datasets. Linear regressions utilizing a 2D molecular descriptor, SpMin2_Bhm, or the distance between solute and solvent in the Hansen solubility space, Ra, were formulated for the estimation of COMSO-RS-DARE integration parameters.
Temperature-dependent spin-resolved electronic structure of EuO thin films

The electronic structure of the ferromagnetic semiconductor EuO is investigated by means of spin-and angle-resolved photoemission spectroscopy (spin-ARPES) and density functional theory. EuO exhibits unique properties of hosting both weakly-dispersive nearly fully polarized Eu 4 f bands, as well as O 2 p levels indirectly exchange-split by the interaction with Eu nearest neighbors. Our temperature-dependent spin-ARPES data directly demonstrates the exchange splitting in O 2 p and its vanishing at the Curie temperature. Our calculations with a Hubbard U term reveal a complex nature of the local exchange splitting on the oxygen site and in conduction bands. We discuss the mechanisms of the indirect exchange in the O 2p levels by analyzing orbital-resolved band characters in ferromagnetic and antiferromagnetic phases. The directional eﬀects due to spin-orbit coupling are predicted theoretically to be signiﬁcant in particular in the Eu 4f band manifold. The analysis of the shape of spin-resolved spectra in the Eu 4 f spectral region reveals signatures of hybridization with O 2 p , in agreement with the theoretical predictions. We also analyze spectral changes in the spin-integrated spectra throughout the Curie temperature and demonstrate they derive from both the magnetic phase transition and eﬀects due to sample aging, unavoidable for this highly reactive material.
On linear relaxations of OPF problems

The AC OPF problem is a fundamental software component in the operation of electrical power transmission systems. For background, see [1]. It can be formulated as a nonconvex, continuous optimization problem. In routine problem instances, solutions of excellent quality can be quickly obtained using a variety of methodologies, including sequential linearization and interior point methods. Instances involving grids under stress or extreme conditions can prove significantly more difficult. The recent work by Lavaei and Low [6] on semidefinite programming relaxations has sparked renewed interest in this problem. See [8] (and references therein) for some cuttingedge approaches.
Where exactly between utopia and dystopia? A framing analysis of AI and automation in US newspapers

Over the last 60 years, media outlets have been covering emerging technologies like artificial intelligence (AI) and automation. This countrylevel study wants to give a nuanced overview of how these technologies were covered in US newspapers. First, a Latent Dirichlet allocation (LDA) topic modeling was conducted on articles on AI and automation in The New York Times and The Washington Post between 1985 and 2020. Second, an inductive manual framing analysis was conducted to distinguish the frames that both newspapers applied over time. Results from the topic modeling show that articles on AI and automation are most prominent within ‘Work’, ‘Art’, and ‘Education’. Concerning the manual framing analysis, the coverage has been more optimistic than pessimistic over time. However, when dystopian frames are considered, the results show that there has been more attention in the corpus on the impact of AI and automation on ethical conundrums involved with these technologies.
Black plastic mulch affects soil temperature and yield of sweet potato under short season temperate climates

ABSTRACT Temperature is critical for the plant growth and yield of sweet potato (Ipomoea batatas L.) in northern cool season climates. Few studies have quantified the effect of temperature using different crop systems to improve the growth of sweet potato (Ipomoea batatas L.). Our study examined the impact of black mulch on raised beds for sweet potato (Ipomoea batatas L.) production in open field conditions in Manitoba. Black mulched plots were compared with non-mulched plots over 3 years for effects on soil temperature and commercial yields. Three year mean soil temperatures (19.9°C) were significantly higher under mulched plots compared to non-mulched soil (19°C). Higher total, marketable and US#1 yields were harvested from mulched plots than non-mulched plots; however, no differences were recorded for US#2, jumbo and cull yields over 3 years. Marketable yield increases of 47, 39 and 30%, were recorded for mulched plots over non-mulched plots in years 2018, 2019 and 2020, respectively, with a 3-year average yield increase of 39%. Use of black mulch contributed to increased sweet potato commercial yields in short season-temperate climates.
Driver Accuracy in Identifying Food and Attraction Targets on Business Logo Signs: Impacts of Driver Age, Number of Panels, Logo Familiarity, and Logo Format

The standard business logo sign found along North Carolina highways contains six logos, in accordance with the Manual on Uniform Traffic Control Devices. As the population grows, the demand for business is increasing. Shifting from six-panel business logo signs to nine-panel signs would afford more businesses the opportunity to advertise in areas of high demand. The effects that such a change may have on the driving population are analyzed. Factors such as a driver’s age and familiarity with logos and logo format are taken into consideration. A change in the format of business logo signs is proposed not only to move from six to nine panels but also to improve the effectiveness of existing business logo signs.
Effects of ibrutinib on T-cell immunity in patients with chronic lymphocytic leukemia

Chronic lymphocytic leukemia (CLL), a highly heterogeneous B-cell malignancy, is characterized by tumor microenvironment disorder and T-cell immune dysfunction, which play a major role in the proliferation and survival of CLL cells. Ibrutinib is the first irreversible inhibitor of Bruton’s tyrosine kinase (BTK). In addition to targeting B-cell receptor (BCR) signaling to kill tumor cells, increasing evidence has suggested that ibrutinib regulates the tumor microenvironment and T-cell immunity in a direct and indirect manner. For example, ibrutinib not only reverses the tumor microenvironment by blocking cytokine networks and toll-like receptor signaling but also regulates T cells in number, subset distribution, T-cell receptor (TCR) repertoire and immune function by inhibiting interleukin-2 inducible T-cell kinase (ITK) and reducing the expression of inhibitory receptors, and so on. In this review, we summarize the current evidence for the effects of ibrutinib on the tumor microenvironment and cellular immunity of patients with CLL, particularly for the behavior and function of T cells, explore its potential mechanisms, and provide a basis for the clinical benefits of long-term ibrutinib treatment and combined therapy based on T-cell-based immunotherapies.
The Extracellular Matrix: A Key Accomplice of Cancer Stem Cell Migration, Metastasis Formation, and Drug Resistance in PDAC

Simple Summary This review takes the extracellular matrix (ECM) as the starting point, and describes its influence and related mechanisms on the biological behavior of pancreatic ductal carcinoma (PDAC). It focuses on how the ECM regulates cancer stem cells and thus affects the metastasis and drug resistance of PDAC. Finally, current and ongoing treatment strategies for ECM are presented. ECM-related factors and mechanisms are both the focus and difficulty of current therapeutic strategy research, but further exploration is crucial for effectively eradicating the disease and improving patient survival. Abstract Pancreatic ductal adenocarcinoma (PDAC) is rich in dense fibrotic stroma that are composed of extracellular matrix (ECM) proteins. A disruption of the balance between ECM synthesis and secretion and the altered expression of matrix remodeling enzymes lead to abnormal ECM dynamics in PDAC. This pathological ECM promotes cancer growth, survival, invasion, and alters the behavior of fibroblasts and immune cells leading to metastasis formation and chemotherapy resistance, which contribute to the high lethality of PDAC. Additionally, recent evidence highlights that ECM, as a major structural component of the tumor microenvironment, is a highly dynamic structure in which ECM proteins establish a physical and biochemical niche for cancer stem cells (CSCs). CSCs are characterized by self-renewal, tumor initiation, and resistance to chemotherapeutics. In this review, we will discuss the effects of the ECM on tumor biological behavior and its molecular impact on the fundamental signaling pathways in PDAC. We will also provide an overview of how the different ECM components are able to modulate CSCs properties and finally discuss the current and ongoing therapeutic strategies targeting the ECM. Given the many challenges facing current targeted therapies for PDAC, a better understanding of molecular events involving the interplay of ECM and CSC will be key in identifying more effective therapeutic strategies to eliminate CSCs and ultimately to improve survival in patients that are suffering from this deadly disease.
Management Function Study based on under-five Nutritional Status Screening

BACKGROUND: Based on the manual book Village Midwife, published by the Ministry of Health of the Republic of Indonesia in 2008, one of the visions of empowering midwife is to reduce the case of malnourished toddlers and got diarrhea, so screening is essential to do. AIM: This research analyzes the efforts to control the incidence of malnourished toddlers based on the analysis to management function of midwife performance in the screening of malnourished toddlers in Bangkalan Regency. MATERIALS AND METHODS: This is a descriptive research. The research was conducted in Bangkalan Regency. Research participants consisted of 376 midwives located in 22 Community Health Centers in Bangkalan Regency. The sampling technique was proportional random sampling, with a sample size of 331 midwives. The data collection tool is in the form of a questionnaire, before being used, the validity and reliability tests are carried out, the results are valid and reliable. Data analysis used descriptive statistics, the form of frequency distribution and percentage. RESULTS: Supervision on the parameters that most take effect to the midwife performance in the screening of malnourished toddlers. Moreover, then, the variables of the planning function and the mobilization function were affect the performance of midwife in screening malnourished toddlers in Bangkalan Regency. While the variable of the organizing function does not affect to the performance of midwife in malnourished screening. CONCLUSION: To improve the performance of midwife in screening malnourished toddlers in Bangkalan Regency, good cooperation and coordination is most needed between the Health Office, related organizations, the community, and parents/families of toddlers as well as important officials at Bangkalan Regency. Especially to the health-care workers to announced information and socialized about the health of toddlers to the community and parents/families. So that the incidence of malnourished toddlers can be detected early for follow-up.
The Semiconductor Power Supply for Copper Bromide Laser Excitation

The paper presents the result of the copper bromide laser excitation source development and study. Metal vapor lasers have some application in different area (high-speed imaging system, micromachining of materials). Conventionally excitation source for metal vapor laser use gas-filled switching devices (thyratrons, tacitron) which have some disadvantages. Semiconductor switching elements (transistors) have a number of advantages in compare with gas-filled. In this paper we present excitation source based on Linear Transform Driver-generator concept. In this concept high-voltage pulse are formed by simultaneous operation of typical cells The principle of operation of the supply, its distinctive features are presented. As well as the features of the transistor control pulses formation. The power supply provides requirement levels of voltage and current with good slew rate (about 1 A/ns). Maximum voltage is equal to 8 kV and maximal power of the source is 800 W. The radiation power is 300 mW when pulse repetition frequency is 100 kHz.
The Evolution of Balanced Scorecard in Healthcare: A Systematic Review of Its Design, Implementation, Use, and Review

During the last few years, the interest in performance measurement increased within the healthcare sector. Due to the COVID-19 pandemic, healthcare systems needed to boost performance measurement systems to become more resilient and improve their capability in monitoring key performance indicators. Since the 1990s, the Balanced Scorecard (BSC) model has been widely used among private and public organizations as it is the most adopted model to measure performance. The current paper aims at understanding the evolution of BSC in healthcare. The systematic literature review has been carried out by searching keywords according to PRISMA guidelines. By analyzing papers through one classification of BSC adoption phases, the results reveal that studies focused mainly on the BSC design process, rather than BSC implementation, use, or review. However, there is no agreement about the perspectives to be adopted in healthcare. Concerning BSC implementation and use, on one side especially leadership, culture and communication enable the BSC implementation. On the other side, monitoring and strategic decision-making are the most widespread objectives for using BSC. Concerning BSC review, however, the paper highlights a need for additional research. Finally, the paper provides further research opportunities concerning the phases suitable for implementing a BSC in healthcare.
Comparison of Diagnostic Ability Between Wide-Field Swept-Source Optical Coherence Tomography Imaging Maps and Heidelberg Retina Tomograph 3 Optic Nerve Head Assessment to Discriminate Glaucomatous and Non-glaucomatous Eyes

Background In this study, we aimed to determine the diagnostic performance of optic nerve head (ONH), macular, and circumpapillary retinal nerve fiber layer (cpRNFL) thickness measurements of wide-field maps (12 × 9 mm) using swept-source optical coherence tomography (SS-OCT) compared to measurements of the ONH and RNFL parameters measured by Heidelberg Retina Tomograph (HRT3). Methodology This case-control study included 39 eyes of 39 glaucoma patients and 36 eyes of 36 normal subjects (control group). All participants underwent standard automated perimetry (SAP) as well as structural measurements by SS-OCT (DRI-OCT, Triton; Topcon Inc., Tokyo, Japan) and HRT3 (Heidelberg Engineering, Heidelberg, Germany). The abilities of the continuous parameters to discriminate between glaucoma and control groups were assessed using areas under the receiver operating characteristic curves (AUCs). To assess the glaucoma diagnostic abilities of each of the categorical variables, sensitivity, specificity, positive predictive value, and negative predictive value were tested. Results The highest sensitivities were achieved by the DRI-OCT categorical parameters of Superpixel-200 map and cpRNFL (12 sectors) thickness analysis. The best performing HRT3 continuous parameter was rim volume (AUC = 0.829, 95% confidence interval (CI) = 0.735-0.922), and the best continuous parameter for DRI-OCT wide-field was vertical cdr (AUC = 0.883, 95% CI = 0.805-0.951), followed by total cpRNFL thickness (AUC = 0.862, 95% CI = 0.774-0.951). AUCs for disc area, rim area, linear cdr, and RNFL thickness were not significantly different between the two technologies. Using either the most or the least specific criteria, SuperPixel-200 map always showed the highest sensitivity among the categorical parameters of both technologies (82.1% and 89.7%, respectively). The highest sensitivity among HRT3 classification parameters was shown by MRA and GPS classification algorithms. Conclusions Both wide-field DRI-OCT maps and HRT3 showed good diagnostic performance in discriminating glaucoma. Although DRI-OCT thickness values and normative diagnostic classification showed the best performance, more studies are required to determine the clinical role of wide-field DRI-OCT scan in glaucoma diagnosis.
Attention control mediates the relationship between self-esteem and life satisfaction in youth

This study explored the role of attention control in the relationship between self-esteem and life satisfaction in college students. A sample of 723 college students completed the Attentional Control Scale, the Self-Esteem Scale, and the Life Satisfaction Scale. Following regression analysis, results showed attention control partially mediated the relationship between self-esteem and life satisfaction, while self-esteem also indirectly predicted life satisfaction through attention control. Students with higher Self-esteem and attention control reported greater life satisfaction. The results indicate the importance of personal factors in the life satisfaction of college students and for consideration by student development and support programs for this population of learners.
European Journal of Physical Education and Sport Science-2501-1235

The home team advantage has been extensively documented and studied in many team sports, especially men’s basketball leagues. In contrast, research that has examined the home court advantage in women’s basketball leagues could not be found. Therefore, this study was designed to answer the following questions: (1) is the home court advantage present in the woman’s national basketball association (WNBA)? (2) is there a relationship between crowd density and referee bias in favor of the home team in the national woman’s basketball league? (3) is there a relationship between crowd density and home team performance in the woman’s national basketball league? The study at hand employed a longitudinal study approach to examine 5 regular seasons (2015-2019) of 10 WNBA teams. Data for fan attendance, sport arena capacity, and box scores were collected from public domains. Statistical calculations and analysis were used to compare chosen box scores between the home team and away team. Similarly, chosen box scores were compared between home games that had a crowd density above 50% and home games that had a crowd density below 50%. The results of this study showed that the home court advantage was present in the woman’s national basketball league. In contrast to research studies that examined referee bias in men’s basketball leagues, the results of this study are conflicting and inconclusive. However, home games that had crowd density above 50% significantly outperformed home games that had crowed density below 50%, both offensively (p=0.003) and defensively (p=0.002).
Insights into the Influence of Different Pre-Treatments on Physicochemical Properties of Nafion XL Membrane and Fuel Cell Performance

Perfluorosulfonic acid (PFSA) polymers such as Nafion are the most frequently used Proton Exchange Membrane (PEM) in PEM fuel cells. Nafion XL is one of the most recently developed membranes designed to enhance performance by employing a mechanically reinforced layer in the architecture and a chemical stabilizer. The influence of the water and acid pre-treatment process on the physicochemical properties of Nafion XL membrane and Membrane Electrode Assembly (MEA) was investigated. The obtained results indicate that the pre-treated membranes have higher water uptake and dimensional swelling ratios, i.e., higher hydrophilicity, while the untreated membrane demonstrated a higher ionic exchange capacity. Furthermore, the conductivity of the acid pre-treated Nafion XL membrane was ~ 9.7% higher compared to the untreated membrane. Additionally, the maximum power densities obtained at 80 °C using acid pre-treatment were ~ 0.8 and 0.93 W/cm2 for re-cast Nafion and Nafion XL, respectively. However, the maximum generated powers for untreated membranes at the same condition were 0.36 and 0.66 W/cm2 for re-cast Nafion and Nafion XL, respectively. The overall results indicated that the PEM’s pre-treatment process is essential to enhance performance.
Multiview Generative Adversarial Network and Its Application in Pearl Classification

This paper focuses on automatic pearl classification by adopting deep learning method, using multiview pearl images. Traditionally, in order to get a satisfying classification result, we need to collect a huge number of labeled pearl images, which however is expensive in industry. Fortunately, generative adversarial network (GAN) was proposed recently to effectively expand training set, so as to improve the performance of deep learning models. We thus propose a multiview GAN (MV-GAN) to automatically expand our labeled multiview pearl images, and the expanded data set is then used to train the multistream convolutional neural network (MS-CNN). The experiments show that the utilization of images generated by the MV-GAN can indeed significantly reduce the classification error of the basic MS-CNN (up to 26.71%, relatively), obtaining the state-of-the-art results. More interestingly, it can also help the MS-CNN resist the brightness disturbance, leading to more robust classification.