Miracle-dz/UniFAR-FTUs huggingface dataset:
Academic Satisfaction of Women Students of Color in Science, Technology, Engineering, and Mathematics: Roles of Discrimination, Proactive Personality, and Critical Consciousness

Underrepresentation of women and students of color has been a longstanding issue in science, technology, engineering, and mathematics (STEM). The present study examined factors that contribute to academic satisfaction among 585 women college students of color (Mage = 21.42, SDage = 3.25; nBlack = 174, nLatina = 171, nAsian = 240), based on the Social Cognitive Career Theory satisfaction model. Experiences of discrimination was selected as an environmental obstacle and proactive personality as a person input in the model. In addition, critical consciousness was included as a personal resource variable. Multigroup measurement invariance tests and multigroup structural equation modeling were conducted to examine the racial/ethnic differences in constructs and their interrelationships. The findings showed that discrimination, proactive personality, and critical consciousness contributed to academic satisfaction via self-efficacy, outcome expectations, and goal progress. Theoretical, clinical, and institutional implications are discussed in light of the findings. Limitations and future research directions are also discussed.
Ultrafilters and Topologies on Groups

This book presents the relationship between ultrafilters and topologies on groups. It shows how ultrafilters are used in constructing topologies on groups with extremal properties and how topologies on groups serve in deriving algebraic results about ultrafilters. The contents of the book fall naturally into three parts. The first, comprising Chapters 1 through 5, introduces to topological groups and ultrafilters insofar as the semigroup operation on ultrafilters is not required. Constructions of some important topological groups are given. In particular, that of an extremally disconnected topological group based on a Ramsey ultrafilter. Also one shows that every infinite group admits a nondiscrete zero-dimensional topology in which all translations and the inversion are continuous. In the second part, Chapters 6 through 9, the Stone-Cech compactification G of a discrete group G is studied. For this, a special technique based on the concepts of a local left group and a local homomorphism is developed. One proves that if G is a countable torsion free group, then G contains no nontrivial finite groups. Also the ideal structure of G is investigated. In particular, one shows that for every infinite Abelian group G, G contains 22|G|minimal right ideals. In the third part, using the semigroup G, almost maximal topological and left topological groups are constructed and their ultrafilter semigroups are examined. Projectives in the category of finite semigroups are characterized. Also one shows that every infinite Abelian group with finitely many elements of order 2 is absolutely -resolvable, and consequently, can be partitioned into subsets such that every coset modulo infinite subgroup meets each subset of the partition. The book concludes with a list of open problems in the field. Some familiarity with set theory, algebra and topology is presupposed. But in general, the book is almost self-contained. It is aimed at graduate students and researchers working in topological algebra and adjacent areas.
Drug Utilization Pattern in Elderly Hospitalized Patients in Tertiary Care Hospitals of Quetta, Pakistan

review, no such study was found and considering the importance of drug utilization review, this study was conducted in Quetta, Pakistan. Study design, setting and duration: This study was prospective, cross sectional and questionnaire-based study conducted in Sandeman Provincial Hospital (SPH) and Bolan Medical Complex Hospital (BMCH) Quetta, Pakistan. Duration of this study was 08 months that is from February to September 2022. Study population: All the elderly patients hospitalized in Sandeman Abstract Background: Changes in Pharmacokinetics and pharmacodynamics in different age groups, especially in elderly age group, have extensively been documented and studied and concurrent chronic diseases may underlie polypharmacy in elderly. Aim: The aim of this study was to assess drug utilization pattern in elderly hospitalized patients in tertiary care hospitals of Quetta. Methods: Specifically, designed questionnaire based, cross sectional study was conducted in Bolan Medical Complex Hospital and Sandeman Provincial Hospital Quetta with total of 397 participants. Non-Probability convenience sampling technique was used in this study. Cronbach alpha test was applied to check reliability of questionnaire, Cronbach alpha value was 0.886 that is acceptable range. Results: Majority of the participants were from age group 60 to 70 years ( n =301, 75.8%), fever and cough were present in majority of hospitalized patients ( n =180,11.7%). Majority ( n =232, 58.4%) of participants were having uncontrolled disease with yearly health service utilization of more than 3 times ( n =234, 58.9), medication recommended to majority (146, 36.8%) of participants were 4. Ceftriaxone was mostly prescribed in cough ( n =162,90%), hypertension ( n =114, 67.1%), fever ( n =154, 85.6%) of cases, while in gastritis omeprazole was mostly prescribed ( n =84, 73.7%). Most of the hospitalized patients were complaint to ceftriaxone, omeprazole, dimenhydrinate and diclofenac sodium. Conclusion: Ceftriaxone was most prescribed drugs among elderly patients that were admitted in different specialty departments. Most of the elderly patients had uncontrolled disease status. This study concluded that the compliance to medication was 82.1% of elderly patients.
Interactions of Massive Integer-Spin Fields

We review the interactions of massive fields of arbitrary integer spins with the constant electromagnetic field and symmetrical Einstein space in the gauge invariant framework. The problem of obtaining the gauge-invariant Lagrangians of integer spin fields in an external field is reduced to purely algebraic problem of finding a set of operators with certain features using the representation of the higher-spin fields in the form of vectors in a pseudo-Hilbert space. Such a construction is considered up to the second order for the electromagnetic field and at linear approximation for symmetrical Einstein space. The results obtained are valid for space-time of arbitrary dimensionality.
Cure Rates After a Single Dose of Radioactive Iodine to Treat Hyperthyroidism: The Fixed-Dose Regimen

Introduction Radioactive iodine (RAI) has been used to treat hyperthyroidism for more than 70 years. Cure rates after RAI therapy range between 80% and 100%, with some patients requiring two or more doses. There is continued debate over which dosing regimen is optimal. We evaluated our cure rates after giving a single dose of radioactive iodine to treat hyperthyroidism using the fixed-dose regimen as opposed to the calculated-dose regimen. Materials and methods We retrospectively reviewed the clinical records of patients who had received their first single dose of RAI between 2016 and 2021. The patients had clinical and biochemical assessments every six weeks until six months post-RAI therapy, then every three months thereafter, if still not cured. Patients were deemed cured if they developed persistent hypothyroidism or euthyroidism after a single dose of RAI. The data included baseline demographics, adverse events, and cure rates after RAI treatment. Results One hundred and thirty-eight patients received their first dose of RAI during the study period. Their mean ± standard deviation (SD) age was 56.9 ± 15.3 years, and there were 101 women and 37 men. The median duration of hyperthyroidism was 34 months, and 62% of the cases were affected by Graves’ disease. A majority of patients (90%) were on an antithyroid drug prior to RAI therapy. The median (interquartile range) dose of RAI received by the group was 559 (546-577) megabecquerels (MBq). Four patients (2.9%) reported adverse events shortly after receiving RAI. Our overall cure rate was 87.7% amongst patients who received a single dose of RAI therapy. This number consisted of 96 patients (69.6%) who developed hypothyroidism and 25 patients (18.1%) who remained euthyroid. Our one-year cure rate was 84.1%. Further analysis revealed that women had a greater cure rate than men over the study period (92% vs 75.7%, p = 0.017). Conclusion We have evaluated cure rates after a single dose of RAI therapy for the treatment of hyperthyroidism at our center. Our results are comparable to those reported at other centers using a similar dosing regimen.
Recent weakening of the relationship between El Niño–Southern Oscillation and western North Pacific tropical cyclone season onset date

This study investigates the climate drivers of western North Pacific (WNP) tropical cyclone season onset date (TCSOD). We find that the interannual relationship between WNP TCSOD and El Niño–Southern Oscillation (ENSO) varies considerably on interdecadal time scales. The association between TCSOD and ENSO, as measured by the Niño3. 4 index, is significant during the first subperiod from 1979 to 1998 (r = .51) but becomes insignificant (r = .01) during the second subperiod from 1999 to 2019. This relationship degradation is mainly due to shifting ENSO conditions with more frequent occurrences of tropical central Pacific ENSO events since the late 1990s. Tropical eastern Pacific ENSO events cause changes in the low‐level large‐scale circulation over the tropical western WNP, where early season WNP TC genesis typically occurs, via a Gill‐type Rossby wave response. Tropical central Pacific ENSO events have a limited impact over this region. These relationships are confirmed by a stable and strong association between tropical eastern Pacific ENSO and TCSOD for the whole period (r = .63) and for the two subperiods (r = .72/r = .56), while the correlation between central Pacific ENSO events and TCSOD is weak for the whole period (r = −.01) and for the two subperiods (r = −.03/r = −.13). We further find that the Pacific meridional mode is a robust indicator of TCSOD over the WNP regardless of shifting ENSO conditions. Results of this study may provide useful information for decadal climate prediction of WNP TCSOD.
Host Factors in the Natural History of Chronic Hepatitis B: Role of Genetic Determinants

Background The host immune system plays an important role in hepatitis B virus (HBV) infection manifestation. Genetic polymorphisms of several inflammatory cytokines, including TNF-α and IL-10, have been associated with chronic hepatitis B (CHB) progression, although with contradicting results. CHB progression can be categorized into four phases, immune tolerance (IT), immune clearance (IC), low/no replicative (LR), and e-negative hepatitis (ENH), with HBeAg seroconversion as an important milestone. Here, we determined the association of TNF-α (rs1800629) and IL-10 (rs1800896 and rs1800872) SNPs in the context of CHB natural history progression, particularly to HBeAg seroconversion, in Indonesian CHB patients. Methods A total of 287 subjects were recruited and categorized into distinct CHB phases based on HBeAg, viral load, and ALT levels. TNF-α and IL-10 SNPs were determined using PCR-RFLP and confirmed with direct sequencing. The association between SNP genotypes with CHB dynamics was determined using logistic regression presented as odds ratio (OR) with 95% CI. Results No significant association was found between IL-10 -592A/C polymorphism and progression of IT and IC to LR, IT and IC to ENH, and LR to ENH phases in all the gene models. IL-10 rs1800896 and TNF-α rs1800629 could not be analyzed using logistic regression. Subjects' age (≥40 years old) was significantly associated with IT and IC to LR (OR: 2.191, 95% CI 1.067–4.578, P = 0.034), IT and IC to ENH (OR: 7.460, 95% CI 3.316–18.310, P < 0.001), and LR to ENH (OR: 5.252, 95% CI 2.010–14.858, P = 0.001). Male gender was associated with LR to ENH (OR: 4.077, 95% CI 1.605–11.023, P = 0.004). Conclusions Age and male gender were associated with CHB phase progression instead of the TNF-α and IL-10 polymorphisms. It would be beneficial to study not only the effect of host determinants but also the viral factor to understand the mechanisms of CHB phase progression.
Response of upland rice variety to plant population under the low land agro-ecology of Bench Sheko Zone, South-west Ethiopia

Plant population has a strong influence on rice yield. A field experiment was conducted during the 2017 and 2018 main cropping seasons at Guraferda district in Bench Sheko Zone, Southwest Ethiopia. The objective of this study was to determine the optimum plant population and appropriate variety on grain yield and yield components of upland rice. The experiment was carried out using RCBD with three replications. Five levels of plant populations (60, 80, 100, 120, and 140 kg ha-1) and three levels of genotypes (Nerica-4, Suparica-1, and Local check) were studied. The main effect of plant population and variety had significant (p<0.05) for most of the parameters investigated. However, the interaction effect had only statistically significant for the number of tillers, panicles, and grain yield. The combined results showed that the maximum grain yield of 5553.3, 5491.0, 5252.5, 5047.6, 5043.1, and 4955.6 kg ha-1 were obtained at the respective treatment combinations of Suparica-1 with 80, Suparica-1 with 100, Local check with 140, Suparica-1 with 120, and Local check with 120 and 100 kg ha-1 plant populations. In addition to the above result, a Partial budget analysis was also carried out to determine the economic optimum plant population for production. Accordingly, the combination of Suparica-1 at the rate of 80 kg ha-1 was appropriate to get a better yield and higher economic benefit. Therefore, it can be possible to suggest the finding for wider production. Int. J. Agril. Res. Innov. Tech. 12(1): 94-100, June 2022
Analysis of technical efficiency and its determinants among tobacco producers in Uganda: An application of data envelopment analysis

This study aimed at analyzing technical efficiency and its determinants among tobacco producers in Uganda. To achieve this, primary data were drawn from 200 tobacco farmers using semi-structured questionnaires. In order to determine the technical efficiency and its determinants, Data envelopment analysis and Tobit regression model were used for the analysis respectively. From the results, we observed that the mean TE was 49%, implying that the farmers were 51% inefficient. Furthermore, input prices, land size, farmers’ age, farm income and farm location were found to be the determinants of technical efficiency. This study recommended that the government should subsidize farm inputs as well as training the farmers on input combinations in order to increase technical efficiency level. Int. J. Agril. Res. Innov. Tech. 12(1): 24-29, June 2022
Concentration-dependent cortisone adsorption and interaction with model lung surfactant monolayer

ABSTRACT Corticosteroids are drugs used to treat inflammatory conditions. In the case of lung diseases, corticosteroids can be administered by inhalation. The main barrier for inhaled particles is the lung surfactant monolayer (LSM) that lines the alveolar air–water interface and reduces surface tension during breathing. In this study, we use coarse-grained molecular dynamics simulations to study the concentration-dependent interaction of cortisone with an LSM composed of neutral and negatively charged phospholipids, cholesterol, and surfactant proteins. Simulations were carried out at surface tensions mimicking inhalation and exhalation conditions and different compressibilities. In-depth analysis shows that cortisone causes a concentration-dependent expansion of the monolayer that at high surface tension and high drug concentrations results in the monolayer collapsing. This instability is associated with the accumulation of drugs and surfactant proteins that prevent adsorption into the monolayer. Our findings help to improve the understanding of how corticosteroids alter lung surfactants structure and assist efforts to improve drug adsorption.
Accurate image-based identification of macroinvertebrate specimens using deep learning—How much training data is needed?

Image-based methods for species identification offer cost-efficient solutions for biomonitoring. This is particularly relevant for invertebrate studies, where bulk samples often represent insurmountable workloads for sorting, identifying, and counting individual specimens. On the other hand, image-based classification using deep learning tools have strict requirements for the amount of training data, which is often a limiting factor. Here, we examine how classification accuracy increases with the amount of training data using the BIODISCOVER imaging system constructed for image-based classification and biomass estimation of invertebrate specimens. We use a balanced dataset of 60 specimens of each of 16 taxa of freshwater macroinvertebrates to systematically quantify how classification performance of a convolutional neural network (CNN) increases for individual taxa and the overall community as the number of specimens used for training is increased. We show a striking 99.2% classification accuracy when the CNN (EfficientNet-B6) is trained on 50 specimens of each taxon, and also how the lower classification accuracy of models trained on less data is particularly evident for morphologically similar species placed within the same taxonomic order. Even with as little as 15 specimens used for training, classification accuracy reached 97%. Our results add to a recent body of literature showing the huge potential of image-based methods and deep learning for specimen-based research, and furthermore offers a perspective to future automatized approaches for deriving ecological data from bulk arthropod samples.
Design for a Multicentre Prospective Cohort for the Assessment of Platelet Function in Patients with Hepatitis-B-Virus-Related Acute-on-Chronic Liver Failure

Background Acute-on-chronic liver failure (ACLF) has high short-term mortality and lacks sufficient medical therapy. Available algorithms are unable to precisely predict short-term outcomes or safely stratify patients with ACLF as emergent liver transplantation candidates. Therefore, a personalized prognostic tool is urgently needed. Purpose Platelet function and its clinical significance in ACLF patients with chronic hepatitis B virus (HBV) infection have not been investigated. This study aimed to assess changes in platelet function using thromboelastography (TEG) and platelet mapping (TEG-PM) in HBV-related ACLF patients. Methods Chronic liver disease patients with acute decompensation or acute hepatic injury were recruited. The derivation cohort enrolled HBV-related patients at Nanfang Hospital. HBV-related and non-HBV-related patients were both enrolled in internal and external validation cohorts at seven university hospitals. TEG and TEG-PM were performed at baseline in the derivation cohort and baseline, day 7, and day 14 in the validation cohorts. The primary outcome was all-cause 28-day mortality. Status check and new-onset complications were recorded during the 3-month follow-up, but status check will extend to 5 years. Conclusion and Future Plans In this study, 586 participants were enrolled, including 100 in derivation cohort, 133 in internal validation cohort, and 353 in external validation cohort. Biomaterials, including plasma, serum, urine, and some explanted liver tissues, were collected from these patients. A 3-month follow-up with survival status was completed. The baseline characteristics indicated that 51% of the patients had adenosine diphosphate (ADP)-hyporesponsive circulating platelets. The prognostic potential of platelet function will be explored in the derivation cohort (HBV-related ACLF patients) and further substantiated in the validation cohorts (HBV-related and non-HBV-related ACLF patients). Biosamples are currently used to explore the underlying mechanisms related to ADP-hyporesponsive platelets. The ongoing proteomic and metabolic analyses will provide new insights into the pathogenesis of extrahepatic organ failures in ACLF patients.
Construction of Prochloraz-Loaded Hollow Mesoporous Silica Nanoparticles Coated with Metal–Phenolic Networks for Precise Release and Improved Biosafety of Pesticides

Currently, environmental-responsive pesticide delivery systems have become an essential way to improve the effective utilization of pesticides. In this paper, by using hollow mesoporous silica (HMS) as a nanocarrier and TA-Cu metal–phenolic networks as a capping agent, a pH-responsive controlled release nano-formulation loaded with prochloraz (Pro@HMS-TA-Cu) was constructed. The structure and properties of Pro@HMS-TA-Cu were adequately characterised and analysed. The results showed that the loading content of Pro@HMS-TA-Cu nanoparticles was about 17.7% and the Pro@HMS-TA-Cu nanoparticles exhibited significant pH-responsive properties. After a coating of the TA-Cu metal–phenolic network, the contact angle and adhesion work of Pro@HMS-TA-Cu nanoparticles on the surface of oilseed rape leaves after 360 s were 59.6° and 107.2 mJ·m−2, respectively, indicating that the prepared nanoparticles possessed excellent adhesion. In addition, the Pro@HMS-TA-Cu nanoparticles demonstrated better antifungal activity against Sclerotinia sclerotiorum and lower toxicity to zebrafish compared to prochloraz technical. Hence, the pH-responsive nanoparticles prepared with a TA-Cu metal–phenolic network as a capping agent are highly efficient and environmentally friendly, providing a new approach for the development of new pesticide delivery systems.
Renewable Portfolio Standards

State-level renewable portfolio standards (RPSs) aim to encourage renewable energy and discourage greenhouse gas (GHG) emissions from the electric power sector in the United States. Do they work? Some prominent government agencies and advocacy groups assert that U.S. renewables growth has been largely due to RPSs. That seems unlikely, given that in most regions, renewables exceed RPS requirements. But it is not an easy question to answer, thanks to interstate trading and the possibility that states with abundant renewable resources might set the most ambitious RPS goals. We combine the best features of four recent academic studies, using ordinary least-squares and instrumental variables approaches. In some specifications, RPSs do appear to reduce the use of natural gas to generate electricity and decrease GHG emissions, while boosting the use of wind and solar power. But the effects are small—consistent with the academic findings and in contrast to the public claims and policy goals.
Biochemical and Genetic Analysis of Hydrogen Metabolism in Escherichia coli: the hydB Genet

Production of active hydrogenase by Escherichia coli requires several gene products. One of the essential genes, hydB, is encoded by a DNA fragment of approximately 1.0 kilobase. The hydB gene produced a protein with an apparent molecular weight of 32,000. The hydB gene was transcribed only under anaerobic conditions. Oxygen and nitrate repressed transcription of this gene. hydB gene transcription also required a6o, the product of the rpoN gene. in