Miracle-dz/UniFAR-FTUs huggingface dataset:
FURTHER STUDIES OF DROUGHT OVER NORTHEASTERN UNITED STATES

Abstract Following a study of large-scale atmospheric and oceanic interactions associated with the recent Northeast drought, smaller-scale manifestations of this drought are studied with the help of records from New York Central Park Observatory. The long-period records of this Observatory (since 1869) are then studied statistically in relation to dry periods. Among the most interesting facts brought out is a long-period downward trend in precipitation beginning sometime in the early 1930's or perhaps late 1920's. This appears to be related to general circulation aberrations of the same kind found in the earlier study of the recent (5-yr.) drought. However, an attempt to demonstrate a long-period air-sea interaction similar to the earlier-described short-period interaction failed—perhaps because of inadequacies in sea-surface temperature data. Finally, nationwide precipitation patterns accompanying dryness in the Northeast are determined from 59 yr. of precipitation data. These patterns throw considerable.
Marriage, Migration, and the Mean Information Field: A Study in Uniqueness and Generality

ABSTRACT Recently available experimental data on the spatial behavior of mobile individuals as they shop, go to work, marry, and migrate permit the study of individual information fields. The aggregation of such fields into a community mean information field has proven useful in the computer simulation of how information is spread over populated areas, and how innovations are adopted. Of the wide variety of curves which fit distance-contact data, four are discussed: Pareto, exponential, lognormal, and Pareto-exponential. In general, Pareto formulations work better for contacts not involving permanent or costly moves, whereas exponential functions seem better for migrations and marriage distances. Examples of fitted curves are given for Cleveland (1933–1936), Cedar Rapids (1949), Seattle (1962), Asby, Sweden, (1930–1939) and Kagawa, Japan (1951). Comparisons of data and curves for areas of varying population density and stage of economic development will enable future migration and spatial diffusion studie.
Special Issue: Creating Social Capital through School Counselor-Principal Collaboration

This study examined how demographic variables and the school counselor–principal alliance influenced school counselors’ advocacy for LGBTQ students as measured by the Lesbian, Gay, Bisexual Active Advocacy Scale-Revised (LGBAAS-R). We surveyed 169 practicing school counselors with at least one year of experience in their current building and working with their current principal. Results indicate that the participant’s sexual orientation, engagement with professional development, presence of a Gender and Sexuality Alliance (GSA), the state in which they work, perception of a welcoming environment, years worked with the principal, and perception of a collaborative relationship with the principal were significant predictors of advocacy activity. Through advocacy, school counselors can build social capital in LGBTQ students, yet school counselors’ own identity and relationships with principals can influence their ability to engage in advocacy. Note: LGBTQ is intended to represent the diverse range of identities of gender and sexual orientation of individuals.
A first-in-human phase 1 study of cavrotolimod, a TLR9 agonist spherical nucleic acid, in healthy participants: Evidence of immune activation

Introduction Tumor immunotherapy is designed to control malignancies through the host immune response but requires circumventing tumor-dysregulated immunomodulation through immunostimulation, relieving immunorepression, or a combination of both approaches. Here we designed and characterized cavrotolimod (formerly AST-008), an immunostimulatory spherical nucleic acid (SNA) compound targeting Toll-like receptor 9 (TLR9). We assessed the safety and pharmacodynamic (PD) properties of cavrotolimod in healthy participants in a first-in-human Phase 1 study under protocol AST-008-101 (NCT03086278; https://clinicaltrials.gov/ct2/show/NCT03086278). Methods Healthy participants aged 18 to 40 years were enrolled to evaluate four dose levels of cavrotolimod across four cohorts. Each cohort included four participants, and all received a single subcutaneous dose of cavrotolimod. The dose levels were 5, 10, 12.5 and 18.8 µg/kg. Results and discussion Cavrotolimod was well tolerated and elicited no serious adverse events or dose limiting toxicities at the doses tested. The results demonstrated that cavrotolimod is a potent innate immune activator, specifically stimulating Th1-type immune responses, and exhibits PD properties that may result in anti-tumor effects in patients with cancer. This study suggests that cavrotolimod is a promising clinical immunotherapy agent.
The combined impact of redcedar encroachment and climate change on water resources in the Nebraska Sand Hills

The Nebraska Sand Hills (NSH) is considered a major recharge zone for the High Plains Aquifer in the central United States. The uncontrolled expansion of the eastern redcedar (Juniperus Virginiana) under climate warming is posing threats to surface water and groundwater resources. The combined impact of land use and climate change on the water balance in the Upper Middle Loup River watershed (4,954 km2) in the NSH was evaluated by simulating different combinations of model scenarios using the Soil Water Assessment Tool (SWAT) model. A total of 222 climate models were ranked according to the aridity index and three models representing wet, median (most likely), and dry conditions were selected. Additionally, the impacts of carbon dioxide (CO2) emissions on root water uptake were simulated. Four plausible redcedar encroachment scenarios, namely 0.5% (no encroachment), 2.4, 4.6, and 11.9%, were considered in the numerical simulations. We, therefore, built: i) the historical scenario (2000–2019) with the current climate and redcedar cover leading to baseline results; ii) the most-likely future scenario (2020–2099) with projected climate (50th percentile of aridity index distribution) and redcedar encroachment that was estimated by using a combination of neural network and Markov-chain cellular automata model; iii) 16 future scenarios (2020–2099) with different combinations of extreme climate (5th and 95th percentiles of aridity index distribution) and four hypothetical encroachment scenarios (0.5, 2.4, 4.6, and 11.9%). The most-likely climate projection indicates that a warming pattern will be expected with a 4.1°C increase in average over the 100-year period, and this will be associated with lower-than-normal precipitation (P). Nevertheless, the concurrent increase in temperature and CO2 concentration is likely to induce stomata closure by reducing potential (ETp) and actual (ETa) evapotranspiration losses. Projected P, ETp, ETa, and discharge (D) are expected to decrease by 6, 39, 24, and 2%, respectively, while recharge (R) will likely increase by 27%. Finally, a sensitivity analysis of 16 combined climate and land use scenarios is presented and discussed. The scenario modeling approach presented in this paper can support decision-making by stakeholders for optimal management of water resources.
FISHing for ciliates: Catalyzed reporter deposition fluorescence in situ hybridization for the detection of planktonic freshwater ciliates

Planktonic ciliate species form multiple trophic guilds and are central components of freshwater food webs. Progress in molecular analytical tools has opened new insight into ciliate assemblages. However, high and variable 18S rDNA copy numbers, typical for ciliates, make reliable quantification by amplicon sequencing extremely difficult. For an exact determination of abundances, the classical morphology-based quantitative protargol staining is still the method of choice. Morphotype analyses, however, are time consuming and need specific taxonomic expertise. Catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH) may represent a promising tool for the analysis of planktonic ciliates by combining molecular identification with microscopic quantification. We tested the applicability of CARD-FISH using nine cultured ciliate species. Eight species- and three genus-specific oligonucleotide probes were designed based on their 18S rRNA genes. The CARD-FISH protocol was adapted and the specificity of probes was established. We subsequently examined the precision of quantitation by CARD-FISH on single cultures and mock assemblages. Successful tests on lake water samples proved that planktonic ciliates could be identified and quantified in field samples by CARD-FISH. Double hybridizations allowed studying interspecific predator prey interactions between two ciliate species. In summary, we demonstrate that CARD-FISH with species-specific probes can facilitate studies on the population dynamics of closely related, small sized or cryptic species at high sampling frequencies.
Epidemiological trends of hand osteoarthritis from 1990 to 2019: Estimates from the 2019 Global Burden of Disease study

Background Hand osteoarthritis (OA) is a chronic progressive disease characterized by disabling pain in the hand, with a high clinical burden. This study is designed to assess the epidemiological patterns of hand OA from 1990 to 2019 and analyze its secular trends based on sex, age, and socio-demographic index (SDI) at global, regional, and national levels. Methods Data on the incidence and disability-adjusted life years (DALYs) of hand OA were extracted from the 2019 Global Burden of Disease (GBD), and their respective age-standardized rates (ASRs) were calculated. The estimated annual percentage changes (EAPCs) in ASR were calculated to assess the prevalent trends of the incidence and DALYs of hand OA over the recent three decades. The relationship between ASR and SDI was analyzed by Pearson's correlation analysis. Results The incidence of hand OA increased from 371.30 million in 1990 to 676.02 million in 2019, increasing by 82.07%, whereas its age-standardized incidence rate (ASIR) decreased, with a downward trend [EAPC = −0.34; 95% confidence interval: −0.39–−0.28]. With the changes in age, the incidence of hand OA exhibited a unimodal distribution before 70 years of age, peaking at 50–54 years, while its incidence had an upward trend in the >70 years age groups. Overall, hand OA-related DALYs increased in the recent 30 years. Meanwhile, its annual age-standardized DALY rate decreased, with EAPCs of −0.35 (95% CI, −0.38 –−0.32). The DALYs increased with age. In 2019, the ASIR and age-standardized DALY rate were positively associated with the SDI regions. The incidence and DALYs presented predominance in female patients. The burden of hand OA over the recent three decades displayed obvious geographical diversity. Conclusion The incident cases of hand OA increased globally from 1990 to 2019, while the ASIR and age-standardized DALY rate decreased. However, in many countries and regions, there was a rising trend of ASR related to incidence and DALYs. In addition, the prevalence revealed geographical, sex, and age diversity. Thus, governments and medical institutions should reallocate medical resources based on the epidemiological characteristics of hand OA.
A nomogram for predicting lung-related diseases among construction workers in Wuhan, China

Objective To develop a prediction nomogram for the risk of lung-related diseases (LRD) in construction workers. Methods Seven hundred and fifty-two construction workers were recruited. A self- designed questionnaire was performed to collected relevant information. Chest X-ray was taken to judge builders' lung health. The potential predictors subsets of the risk of LRD were screened by the least absolute shrinkage and selection operator regression and univariate analysis, and determined by using multivariate logistic regression analysis, then were used for developing a prediction nomogram for the risk of LRD. C-index, calibration curve, receiver operating characteristic curve, decision curve analysis (DCA) and clinical impact curve analysis (CICA) were used to evaluation the identification, calibration, predictive ability and clinical effectiveness of the nomogram. Results Five hundred and twenty-six construction workers were allocated to training group and 226 to validation group. The predictors included in the nomogram were symptoms, years of dust exposure, work in shifts and labor intensity. Our model showed good discrimination ability, with a bootstrap-corrected C index of 0.931 (95% CI = 0.906–0.956), and had well-fitted calibration curves. The area under the curve (AUC) of the nomogram were (95% CI = 0.906–0.956) and 0.945 (95% CI = 0.891–0.999) in the training and validation groups, respectively. The results of DCA and CICA indicated that the nomogram may have clinical usefulness. Conclusion We established and validated a novel nomogram that can provide individual prediction of LRD for construction workers. This practical prediction model may help occupational physicians in decision making and design of occupational health examination.
Intra- and peri-tumoral radiomics for predicting the sentinel lymph node metastasis in breast cancer based on preoperative mammography and MRI

Purpose This study aims to investigate values of intra- and peri-tumoral regions in the mammography and magnetic resonance imaging (MRI) image for prediction of sentinel lymph node metastasis (SLNM) in invasive breast cancer (BC). Methods This study included 208 patients with invasive BC between Spe. 2017 and Apr. 2021. All patients underwent preoperative digital mammography (DM), digital breast tomosynthesis (DBT), dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DWI) scans. Radiomics features were extracted from manually outlined intratumoral regions, and automatically dilated peritumoral tumor regions in each modality. The least absolute shrinkage and selection operator (LASSO) regression was used to select key features from each region to develop radiomics signatures (RSs). Area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity and negative predictive value (NPV) were calculated to evaluate performance of the RSs. Results Intra- and peri-tumoral regions of BC can provide complementary information on the SLN status. In each modality, the Com-RSs derived from combined intra- and peri-tumoral regions always yielded higher AUCs than the Intra-RSs or Peri-RSs. A total of 10 and 11 features were identified as the most important predictors from mammography (DM plus DBT) and MRI (DCE-MRI plus DWI), respectively. The DCE-MRI plus DWI generated higher AUCs compared with DM plus DBT in the training (AUCs, DCE-MRI plus DWI vs. DM plus DBT, 0.897 vs. 0.846) and validation (AUCs, DCE-MRI plus DWI vs. DM plus DBT, 0.826 vs. 0.786) cohort. Conclusions Radiomics features from intra- and peri-tumoral regions can provide complementary information to identify the SLNM in both mammography and MRI. The DCE-MRI plus DWI generated lower specificity, but higher AUC, accuracy, sensitivity and negative predictive value compared with DM plus DBT.
Viral delivery of a peptide-based immunomodulator enhances T cell priming during vaccination

Modern, subunit-based vaccines have so far failed to induce significant T cell responses, contributing to ineffective vaccination against many pathogens. Importantly, while today’s adjuvants are designed to trigger innate and non-specific immune responses, they fail to directly stimulate the adaptive immune compartment. Programmed cell death 1 (PD-1) partly regulates naïve-to-antigen-specific effector T cell transition and differentiation by suppressing the magnitude of activation. Indeed, we previously reported on a microbial-derived, peptide-based PD-1 checkpoint inhibitor, LD01, which showed potent T cell-stimulating activity when combined with a vaccine. Here we sought to improve the potency of LD01 by designing and testing new LD01 derivatives. Accordingly, we found that a modified version of an 18-amino acid metabolite of LD01, LD10da, improved T cell activation capability in a malaria vaccine model. Specifically, LD10da demonstrates improved antigen-specific CD8+ T cell expansion when combined prophylactically with an adenovirus-based malaria vaccine. A single dose of LD10da at the time of vaccination is sufficient to increase antigen-specific CD8+ T cell expansion in wild-type mice. Further, we show that LD10 can be encoded and delivered by a Modified Vaccinia Ankara viral vector and can enhance antigen-specific CD8+ T cell expansion comparable to that of synthetic peptide administration. Therefore, LD10da represents a promising biologic-based immunomodulator that can be genetically encoded and delivered, along with the antigen, by viral or other nucleic acid vectors to improve the efficacy and delivery of vaccines for ineradicable and emerging infectious diseases.
A Theory of Large Elastic Deformation

It is postulated that (A) the material is isotropic, (B) the volume change and hysteresis are negligible, and (C) the shear is proportional to the traction in simple shear in a plane previously deformed, if at all, only by uniform dilatation or contraction. It is deduced that the general strain‐energy function, W, has the form W=G4 ∑ i=13(λi−1λi)2+H4 ∑ t=13(λi2−1λi2), where the λi's are the principal stretches (1+principal extension), G is the modulus of rigidity, and H is a new elastic constant not found in previous theories. The differences between the principal stresses are σi[minus]σi=λi∂ W/∂λi[minus]λi∂ W/∂λi. Calculated forces agree closely with experimental data on soft rubber from 400 percent elongation to 50 percent compression.
Support Vector Machines for Classification and Regression

The foundations of Support Vector Machines (SVM) have been developed by Vapnik and are gaining popularity due to many attractive features, and promising empirical performance. The formulation embodies the Structural Risk Minimisation (SRM) principle, which in our work has been shown to be superior to traditional Empirical Risk Minimisation (ERM) principle employed by conventional neural networks. SRM minimises an upper bound on the VC dimension (generalisation error), as opposed to ERM which minimises the error on the training data. It is this difference which equips SVMs with a greater ability to generalise, which is our goal in statistical learning. SVMs were developed to solve the classification problem, but recently they have been extended to the domain of regression problems.
Fortnightly variability of horizontal salinity gradient affects exchange flow in the Sumjin River estuary

The horizontal salinity gradient has been reported to play a crucial role in fortnightly variability of estuarine exchange flow in short estuaries. However, spatiotemporal variations in the salinity gradient and exchange flow have not been examined over an entire short estuary, as only data observed only at specific points was available. We analyzed the variation in salinity gradient along the entire Sumjin River estuary and its effect on the exchange flow over fortnightly tidal cycles based on observations and numerical model experiments. The salinity gradient and exchange flow were in different phases between the lower and upper estuaries by 6–7 days. The maximum salinity gradient periodically reciprocated along the channel as a result of salt flux changes determined by vertical mixing. The stronger exchange flow (> 0.04 m s-1) changed location from mouth to head of estuary while the tidal range decreased, resulting from variability of the salinity gradient. The horizontal salinity gradient is large enough to overwhelm the vertical mixing effect on the exchange flow. The spatiotemporal changes of strong exchange flow correspond well with the horizontal Richardson number value (> 3). This study suggests that for the health of estuarine ecosystems, it is important to determine the spatiotemporal variation in exchange flow throughout the estuary.
Factors influencing the choice of private or public schools: Evidence from Georgia

The existence and development of public schools is influenced by a plethora of factors. Through the creation of education policies, any state education system is striving to accomplish specific goals. Both informal and formal private schooling is taking the lead in all cultures and societies. Unmistakably, the distinction between private and public schools is evident. However, given the different circumstances, choosing the best alternative for a child is regularly a fervently discussed topic among parents. There is no universal answer to the question whether private schools are actually better than or superior to the public schools. Our research aimed to describe the school choice process, it focuses on unveiling the factors and their interrelation while the parent choosing between two types of schools—private and public. First of all, the research aims to describe the parent’s perception of achieving success at school, what is the base for such belief, what the sentence—“School—base of future success” actually mean. How important is so called social index? The significance of the reputation and prestige of the educational institution during school choice process—as a guarantee for future success. The key questions for the research were as follows: (1) How interested the parents are to be actively involved in school choice process and spend certain period of time for that? (2) What factors are considered by the parents during school choice and what is the source they receive information from? (3) Does the family’s socioeconomic condition and the kids gender have influence on the process? It’s worth mentioning that, generally the research results fully coincide with the school choice theory arguments and the research findings conducted in the similar field. All these are described and presented in the first part of the article. The probabilities listed on the base of the current data, that the information source, the parent’s information level, the parents’ engagement as well as the family’s socioeconomic and demographic status play integral role in the school choice process appeared to be genuine. Apparently, the parents are much interested to provide perfect future for their kids, though socioeconomic conditions, environment, poor educational system limits their choice. Once our results compared to the existing literature and theory, one can see that our study conducted in Georgia follows the trends of the developed countries, known as the “Heyneman-Loxley effect. ”