Miracle-dz/UniFAR-FTUs huggingface dataset:
An efficient multikeyword fuzzy ciphertext retrieval scheme based on distributed transmission for Internet of Things

As traditional computing and cloud computing integrate, the Internet of Things (IoT) has evolved into a layered and cloud‐network‐edge‐end architecture. However, most searchable encryption models still use triples, in which hierarchical structures are neglected, and insecure intermediate nodes are exposed to external environment. Meanwhile, mainstream schemes adopting accurate retrieval are incompatible with IoT end users' features of differentiation. To address these issues, we innovatively design an efficient and credible search model with an accurate multikeyword fuzzy ciphertext retrieval scheme in the context of IoT. First, based on network coding and key sharing, data are grouped, encoded, and transmitted in parallel to the receiver node through middle‐layer nodes, with high efficiency and reliability. Second, to realize fuzzy retrieval of IoT, edit distance is selected as the standard of difference between keywords, and then document index vector and query vector are created based on locality sensitive hashing (LSH) and Bloom Filter. Furthermore, to improve the traditional scheme, query keywords are split into multiple single‐word forms, inner products between each trapdoor of single word and encryption index vector are calculated, respectively, for the sum of each inner product and thus top $\mathrm{top}$ ‐ k $k$ sorting search. Ultimately, feasibility, safety, and efficiency of our improved scheme are verified by security analysis, while simulation results support that our scheme has better accuracy and efficiency.
Non-destructive acoustic assessment of wood quality in trees and logs and the effects of silvicultural treatments: A review

Assessing intrinsic wood qualities such as modulus of elasticity and internal decay in trees and logs can be challenging. However, acoustic technologies have been investigated for a possible solution. This paper reviews available literature on non-destructive acoustic methods for assessing wood quality, both in tree and log form. The paper further reviews the effects of silvicultural practices (such as thinning and pruning) on wood quality assessed by non-destructive acoustic methods. We documented some of the benefits of application of non-destructive acoustic methods on wood quality of trees and logs. The acoustic velocity of a tree (VT) or log (VL) of the propagated waves and wood density can be used to determine the Dynamic Modulus of Elasticity (MOEd). Thinning was reported to affect VT/VL and MOEd negatively. Acoustic tomography methods were equally found to have good accuracy in detecting the location and extent of wood decay in standing trees and logs.
Effect of nano bentonite on direct yellow 50 dye removal; Adsorption isotherm, kinetic analysis, and thermodynamic behavior

Developing countries suffering from the toxicity of different industrial effluents especially dyes. This study successfully prepared and characterized nano-bentonite for anionic dye removal (DY 50). The prepared nanoparticles were characterized by X-Ray Diffraction (XRD), X-ray Fluorescence (XRF), Scanning Electron Microscope (SEM), EDAX analysis, FT-IR, and TGA and the obtained results indicated the formation of nanoparticles with an average size of 15 nm. The effect of different operating conditions was studied using different pH, dose, contact time, temperature, and initial DY 50 concentrations. The obtained results indicated that nano bentonite was able to adsorb about 78.3 and 100% for initial concentrations of 100±8.1 and 20 ±1.62 mg/L, respectively. The optimum removal conditions were observed at acidic media (pH 3) using sorbent material dosage 1 g/L for 45 min and 30°C. The adsorption isotherm, kinetic analysis, and thermodynamic behavior were studied by using linear equation form, and the adjusted R2 was compared to detect the preferred models. The adsorption isotherm indicated that heterogeneous, as well as multilayer adsorption, plays an important role in the removal of dye. Kinetic studies indicated the chemisorption interaction between sorbed and adsorbed molecules. Thermodynamic behavior indicated the reaction is exothermic with ∆H equal to −5.24 KJ/mol and ∆S equal −74.2 J/K.mol. Finally, this study strongly recommended using nano bentonite for DY 50 removal from an aqueous solution. The RSM relations show significant relations in all removal models with p-value <0.001. The ANN results indicated that the most effective operating conditions are the effect of nano bentonite dose followed by the pH effect.
Prevalence and Molecular Characterization of Methicillin-Resistant Staphylococci Recovered from Public Shared Bicycles in China

Millions of public shared bicycles (PSBs) have been launched in China, and PSBs are a potential reservoir of antimicrobial-resistant staphylococci. However, no national data to elucidate the dissemination, antimicrobial resistance and genotypes of staphylococci has been recovered from public shared bicycles located in different cities in China. Antimicrobial susceptibility, SCCmec types and sequence types of staphylococci were determined. A total of 146 staphylococci were recovered in this study, and 87% staphylococcal isolates were resistant to at least one antibiotic. In total, 29 (20%) staphylococcal isolates harbored mecA gene, and SCCmec types were determined as follows: SCCmec type II (n = 1), IV(n = 3), V (n = 4), VI (n = 1), VIII (n = 2), A/1 (n = 6), A/5 (n = 2), C/1 (n = 2), C/2 (n = 1), C/3 (n = 1), (n = 5) and Pseudo (ψ)-SCCmec (n = 1). Sequence types of 16 Staphylococcus epidermidis were determined, including ST10, ST17, ST59, ST60, ST65, ST130, ST184, ST262, ST283, ST337, ST360, ST454, ST567, ST820, ST878 and ST934. PSBs are a reservoir of diverse antimicrobial-resistant staphylococci, and staphylococcal species differences were observed in isolates that were recovered from public shared bicycles in the south and north of China. PSBs are a source of antimicrobial resistance and genetic diverse staphylococci.
Biometeorological conditions during hot summer days in diverse urban environments of Banja Luka (Bosnia and Herzegovina)

Intensive urbanization and global warming are impacting the health and well-being of urban population. Nevertheless, urban environments with different designs will have different micro and local climate conditions. This study used data from micrometeorological measurements performed in different urban spaces (downtown, urban park, riverside) in Banja Luka, Bosnia and Herzegovina, on hot summer days in June 2021. Air temperature, relative humidity, wind speed, and globe temperature were measured and Mean Radiant Temperature (Tmrt), Psychologically Equivalent Temperature (PET), and modified Psychologically Equivalent Temperature (mPET) were calculated for each location. Results show that the downtown is the most uncomfortable area in terms of the highest TA, Tg, Tmrt, PET, and mPET values registered at this location. The urban park is the most comfortable area with the lowest values of Tg, Tmrt, PET, and mPET. Relative humidity is the highest at the riverside and the lowest in downtown. Furthermore, riverside had lower average TA during summer daytime compared to urban park and downtown likely due to the synergy between river cooling effect (evaporation and sensible heat transfer) and tree shade.
Effect of Positive and Negative Emotion on Naming Accuracy in Adults with Aphasia

Effect of Positive and Negative Emotion on Naming Accuracy in Adults with Aphasia Courtney Paige Nielsen Department of Communication Disorders, BYU Master of Science This is a preliminary study investigating the effects of emotion on a confrontational naming task in people with aphasia (PWA). Previous research investigating the effects of emotion on various language tasks in PWA has produced mixed findings with some suggesting a facilitative effect and others an inhibitory effect. Participants included 9 adults with aphasia as the result of a stroke, resulting in the presence of word-finding deficits (i.e., anomia). Participants named images in positive, negative, and neutral conditions. Responses were scored as either correct or incorrect; incorrect responses were coded further to illustrate individual error patterns. The majority of participants demonstrated a decrease in naming accuracy in the negative condition compared to the preceding and subsequent neutral conditions. The results of this study suggest that negative emotional arousal may cause PWA to devote attentional resources to emotional regulation and away from the linguistic task, thus interfering with language performance. Further research is needed to support these preliminary findings.
ZBTB16-RARα-Positive Atypical Promyelocytic Leukemia: A Case Report

Background: The majority of patients with acute promyelocytic leukemia (APL) manifest a specific chromosomal translocation t(15;17)(q22;q21), characterized by the fusion of RARA and PML genes. However, a proportion of APL cases are due to variant translocations, being t(11;17) (q23;q21) the most common amongst them. With the major exception of ZBTB16-RARA t(11;17) APL, these variant APL cases present similar morphological features as classic APL and are characterized by a lack of differentiation response to retinoids. Case summary: We describe the case of variant APL with the ZBTB16-RARA fusion gene, showing a distinct morphology of classical APL, characterized by crystalline intracytoplasmic inclusions in both peripheral blood (PB) and bone marrow (BM) patients’ blasts. Our patient was treated with two courses of intensive chemotherapy, initiating maintenance treatment with all-trans retinoic acid (ATRA) on day twenty-eight of the second course. Our patient achieved complete remission (CR) once the intensive chemotherapy was combined with ATRA.Conclusions: This is the second case described of APL with t(11;17) that showed crystalline intracytoplasmic inclusions. The finding of these morphological features may suggest the presence of a variant translocation with RARA, being that both cases described are related to the presence of t(11;17). Despite induction treatment with intensive chemotherapy that included a seven-day continuous treatment with cytarabine (200 mg/m2), plus daily idarubicin (12 mg/m2) during the first three days, our patient did not achieve complete remission (CR) until scheduled 3 + 7 regimen combined with ATRA treatment was established. This observation suggests that ATRA may be partially effective in some ZBTB16-RARA APLs.
Retrotransposon Insertion Polymorphisms (RIPs) in Pig Coat Color Candidate Genes

Simple Summary Coat color is an important phenotypic trait of pig breeds, and a few genes are involved in its regulation. After long-term selection, pig breeds have formed diversified coat color phenotypes (e.g., black, red, white, spotted, brown, belted, two-end black, etc.). To date, several major genes affecting pig coat color phenotypes have been identified. In this view, recent studies suggested a new type of molecular marker known as retrotransposon insertion polymorphisms (RIPs). This marker is considered an ideal molecular marker, showing the potential to be used for population genetic analysis in pigs, with the possibility to be extended to other livestock animals as well. Here, we revealed 42 RIPs in 20 coat color genes in pigs, and some RIPs may be useful in distinguishing different breeds. Abstract The diversity of livestock coat color results from human positive selection and represents an indispensable part of breed identity. As an important biodiversity resource, pigs have many special characteristics, including the most visualized feature, coat color, and excellent adaptation, and the coat color represents an important phenotypic characteristic of the pig breed. Exploring the genetic mechanisms of phenotypic characteristics and the melanocortin system is of considerable interest in domestic animals because their energy metabolism and pigmentation have been under strong selection. In this study, 20 genes related to coat color in mammals were selected, and the structural variations (SVs) in these genic regions were identified by sequence alignment across 17 assembled pig genomes, from representing different types of pigs (miniature, lean, and fat type). A total of 167 large structural variations (>50 bp) of coat-color genes, which overlap with retrotransposon insertions (>50 bp), were obtained and designated as putative RIPs. Finally, 42 RIPs were confirmed by PCR detection. Additionally, eleven RIP sites were further evaluated for their genotypic distributions by PCR in more individuals of eleven domesticated breeds representing different coat color groups. Differential distributions of these RIPs were observed across populations, and some RIPs may be associated with breed differences.
Introduction to High Energy Physics

D H Perkins London: Addison-Wesley 1972 pp xii + 353 price £4 Professor Perkins has succeeded in presenting a very readable and comprehensive introduction to high energy physics. Based on an undergraduate course the scope and standard of the material is suitable for postgraduates as introductory reading and, with some guidance as to the choice of particular chapters, it should stimulate undergraduates.
Experimental and Analytical Investigation of Bond Behavior of Deformed Steel Bar and Ultra-High Performance Concrete

: Ultra-high performance concrete (UHPC) has been demonstrated to be a realistic alternative to less maintenance and signiﬁcantly longer service life due to its better mechanical properties and low permeability. The bond performance of the deformed steel bar embedded in UHPC is critically important for the safety of the UHPC structures. This paper conducted an experimental investigation on the bond behavior of deformed steel bars and UHPC. The impacts of loading method, UHPC strength, steel ﬁber type and content, rebar diameter, and cover thickness were studied. The testing results revealed that the specimens failed in three modes: pull-out, splitting + pull-out, and cone failure. The main factors affecting the bond strength are UHPC compressive strength, cover thickness, and ﬁber characteristics. The peak slip of rebar-UHPC increases with cover thickness and rebar diameter. Finally, an analytical model of the bond stress-slip relationship between the UHPC and deformed steel bar is obtained, which is in suitable agreement with the test results.
Asteroseismology Across the Hertzsprung–Russell Diagram

Asteroseismology has grown from its beginnings three decades ago to a mature field teeming with discoveries and applications. This phenomenal growth has been enabled by space photometry with precision 10–100 times better than ground-based observations, with nearly continuous light curves for durations of weeks to years, and by large-scale ground-based surveys spanning years designed to detect all time-variable phenomena. The new high-precision data are full of surprises, deepening our understanding of the physics of stars. ▪ This review explores asteroseismic developments from the past decade primarily as a result of light curves from the Kepler and Transiting Exoplanet Survey Satellite space missions for massive upper main sequence OBAF stars, pre-main-sequence stars, peculiar stars, classical pulsators, white dwarfs and subdwarfs, and tidally interacting close binaries. ▪ The space missions have increased the numbers of pulsators in many classes by an order of magnitude. ▪ Asteroseismology measures fundamental stellar parameters and stellar interior physics—mass, radius, age, metallicity, luminosity, distance, magnetic fields, interior rotation, angular momentum transfer, convective overshoot, core-burning stage—supporting disparate fields such as galactic archeology, exoplanet host stars, supernovae progenitors, gamma-ray and gravitational wave precursors, close binary star origins and evolution, and standard candles. ▪ Stars are the luminous tracers of the Universe. Asteroseismology significantly improves models of stellar structure and evolution on which all inference from stars depends. Expected final online publication date for the Annual Review of Astronomy Volume 60 is August 2022. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Modeling of Magnetic Anisotropy in Electrical Steel Sheet by Means of Cumulative Distribution Functions of Gaussians

This article proposes a methodology for modeling magnetic anisotropy in ferromagnetic materials. This approach was initially used to represent the isothermal remanent magnetization (IRM) acquired by natural mineral assemblages and based on the use of the cumulative distribution function (CDF) of a probability density function (PDF). For the purpose of this work, the anisotropy of electrical steel sheets is modeled by means of CDFs of Gaussians. The methodology is validated by comparisons between numerical and experimental data obtained from an Epstein frame and a Rotational Single Sheet Tester. The outcomes of the study are twofold: first, the parameters defining the CDF follow a polynomial trendline, and second, they can easily be calculated from a limited amount of experimental data which is a key point from an engineering point of view.
A Systematic Review of Policy Learning: Tiptoeing through a Conceptual Minefield

Policy learning is an increasingly salient concept in public policy research and practice. With growing theoretical advancements, it offers substantial value for policy analysis. However, the field’s conceptual state calls for refinement, and its burgeoning literature calls for a much-needed synthesis. We address these calls by conducting a systematic literature review of empirical policy learning articles with a focus on synthesizing a growing, yet relatively fragmented, body of research and addressing inherent conceptual clarity issues. In total, 147 articles were analyzed and integrated into an overarching framework offering a background conceptualization of policy learning that complements and supplements existing conceptual approaches. This conceptualization is centered on understanding the interplay between policy issues, information and knowledge, systems and structures, and context. In conclusion, an extensive research agenda on policy learning is proposed to help advance public policy theory, research, and practice.
Enhancing the Performance of the Electrocoagulation−Filtration System Treating Mariculture Tailwaters by Using Alternating Pulse Current: Effects of Current Density and Current Conversion Period

Electrocoagulation (EC) is an environmentally friendly and effective water treatment technique. It has been recently applied in combination with a filtration process. This study investigated the effects of an alternating pulse current (APC) on the electrodes, treatment efficiency, and energy consumption of an EC−filtration system during the treatment of mariculture tailwaters, from the aspects of current density and current conversion period (CCP), to generate ideas for improving the performance of the system. Results showed that using direct current (DC) would aggravate the electrode passivation, resulting in many white insoluble substances covering the surface of the electrodes. Moreover, the electrode passivation was more intense at a higher current density and longer system operation time (SOT). Significantly, the electrode weight increased by 1546.67 ± 54.50 mg when the system was operated for 90 min under DC at a current density of 45 A/m2. Unlike DC, APC significantly alleviated electrode passivation, enhanced the treatment efficiency, and reduced energy consumption. A shorter CCP produced better results. When the CCP was 1 min, current density was 45 A/m2, and SOT was 10 min, the removal efficiency of the EC−filtration system for total suspended solids (TSS), chemical oxygen demand (CODMn), and total nitrogen (TN) was 53.55 ± 1.66%, 47.76 ± 0.18%, and 15.55 ± 0.31%, respectively, and the energy consumption was 11.88 × 10−3 kWh/m3.
Deep Learning Model for Automatic Classification and Prediction of Brain Tumor

A brain tumor (BT) is an unexpected growth or fleshy mass of abnormal cells. Depending upon their cell structure they could either be benign (noncancerous) or malign (cancerous). This causes the pressure inside the cranium to increase that may lead to brain injury or death. This causes excessive exhaustion, hinders cognitive abilities, headaches become more frequent and severe, and develops seizures, nausea, and vomiting. Therefore, in order to diagnose BT computerized tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and blood and urine tests are implemented. However, these techniques are time consuming and sometimes yield inaccurate results. Therefore, to avoid such lengthy and time-consuming techniques, deep learning models are implemented that are less time consuming, require less sophisticated equipment, yield results with greater accuracy, and are easy to implement. This paper proposes a transfer learning-based model with the help of pretrained VGG19 model. This model has been modified by utilizing a modified convolutional neural network (CNN) architecture with preprocessing techniques of normalization and data augmentation. The proposed model achieved the accuracy of 98% and sensitivity of 94.73%. It is concluded from the results that proposed model performs better as compared to other state-of-art models. For training purpose, the dataset has been taken from the Kaggle having 257 images with 157 with brain tumor (BT) images and 100 no tumor (NT) images. With such results, these models could be utilized for developing clinically useful solutions that are able to detect BT in CT images.
HIF-1-Dependent Induction of β3 Adrenoceptor: Evidence from the Mouse Retina

A major player in the homeostatic response to hypoxia is the hypoxia-inducible factor (HIF)-1 that transactivates a number of genes involved in neovessel proliferation in response to low oxygen tension. In the retina, hypoxia overstimulates β-adrenoceptors (β-ARs) which play a key role in the formation of pathogenic blood vessels. Among β-ARs, β3-AR expression is increased in proliferating vessels in concomitance with increased levels of HIF-1α and vascular endothelial growth factor (VEGF). Whether, similarly to VEGF, hypoxia-induced β3-AR upregulation is driven by HIF-1 is still unknown. We used the mouse model of oxygen-induced retinopathy (OIR), an acknowledged model of retinal angiogenesis, to verify the hypothesis of β3-AR transcriptional regulation by HIF-1. Investigation of β3-AR regulation over OIR progression revealed that the expression profile of β3-AR depends on oxygen tension, similar to VEGF. The additional evidence that HIF-1α stabilization decouples β3-AR expression from oxygen levels further indicates that HIF-1 regulates the expression of the β3-AR gene in the retina. Bioinformatics predicted the presence of six HIF-1 binding sites (HBS #1-6) upstream and inside the mouse β3-AR gene. Among these, HBS #1 has been identified as the most suitable HBS for HIF-1 binding. Chromatin immunoprecipitation-qPCR demonstrated an effective binding of HIF-1 to HBS #1 indicating the existence of a physical interaction between HIF-1 and the β3-AR gene. The additional finding that β3-AR gene expression is concomitantly activated indicates the possibility that HIF-1 transactivates the β3-AR gene. Our results are indicative of β3-AR involvement in HIF-1-mediated response to hypoxia.