Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between anatomical characteristics of pulmonary veins and atrial fibrillation recurrence after radiofrequency catheter ablation: a systematic review and meta-analysis

Background The aim of the current study was to investigate the potential relationship between anatomical characteristics of pulmonary veins (PVs) and atrial fibrillation recurrence (AFR) following radiofrequency catheter ablation (RFCA), specifically focusing on PV diameter and cross-sectional orifices index (CSOA). The analysis was based on a comprehensive review of currently available literature, providing valuable insights for the prevention and treatment of AFR. Methods Data was collected from five databases, including PubMed, MEDLINE, EMBASE, and Cochrane, spanning the period from 2004 to October 2022. The search strategy utilized Medical Subject Headings (MeSH) terms related to PV diameter, PV size, PV anatomy, and AFR. Indicators of PV diameter and CSOA from the included studies were collected and analyzed, with Weight mean difference (WMD) and 95% confidence intervals (CIs) representing continuous variables. Results The meta-analysis included six studies. The results revealed that patients with AFR had a significant larger mean PV diameter compared to those without AFR (MD 0.33; 95% CI: 0.01, 0.66; P = 0.04; I2 = 33.80%). In a meta-analysis of two studies involving a total of 715 participants, we compared the diameters of the left superior pulmonary vein (LSPV), left inferior pulmonary vein (LIPV), right superior pulmonary vein (RSPV), right inferior pulmonary vein (RIPV) between patients with AFR and patients without AFR. The results showed that there were no statistically significant differences between the two groups in any of the four data items (all P > 0.05). Additionally, the pooled estimate revealed that LSPV-CSOA, LIPV-COSA, RSPV-COSA, and RIPV-CSOA were greater in the AFR group compared to the non-AFR group, but the differences were not statistically significant (all P > 0.05). Conclusion We found evidence supporting the notion that the PV diameter of patients who experienced AFR after RFCA was significantly larger than that of patients without AFR. The findings suggested that the PV diameter could serve as a potential predictor of the risk of AFR following RFCA.
Modeling and Evaluation of Echo-State Networks Using Spin Torque Nano-Oscillators

An echo state network (ESN), capable of processing time-series data with high accuracy, is designed and benchmarked using spin torque nano-oscillators (STNOs) with easy-plane anisotropy. An ESN belongs to the category of reservoir computers, where the reservoir comprises a randomly initialized, recurrently connected, and untrained pool of neurons and acts as a high-dimensional expansion of the input signal. The readout function is used to glean a meaningful output representation. Here, we use STNOs as the basic building block of the ESN and apply the ESN to predict the Mackey–Glass (MG) time-series data. The design parameters of the STNO and the input data representation are selected to yield prediction errors as low as $4\times 10^{-3}$ . We also quantify the short-term memory (STM) and the parity-check (PC) capacity of the ESN and obtain metrics that are comparable to or better than existing spintronics-based ESNs, as well as ESNs employing “tanh” neurons. The peak STM is found to be approximately 8.8, while the peak PC capacity is found to be approximately 3.9. The impacts of thermal fluctuations and process variability on ESN performance are systematically quantified. Although the ESN’s prediction and memory capability remain robust with temperature variations, a 10% variation in the dimensions of the STNO free layer can lead to around 40% increase in its prediction error for the MG time-series data.
Dual-Domain Dynamic Local–Global Network for Pansharpening

Pansharpening has benefited from the development of deep learning (DL) and has achieved excellent results. However, most DL-based methods extract local features by convolutional neural networks and do not integrate global features. Moreover, these methods only extract high-frequency features on the high-pass domain (HPD) or only consider image features on the intensity domain (ID). The method that only considers features in one domain may result in insufficient extraction of spatial and spectral features. Therefore, we propose a dynamic local–global network model on dual-domains, that is, HPD and ID. The dynamic local–global feature extraction block (DLGB) is designed to dynamically integrate local and global features to improve the representation capability of the network. To decrease the computational complexity of global feature extraction, a lightweight biaxial nonlocal attention (BNLA) that captures global spatial features in horizontal and vertical directions is proposed. Experiments on GeoEye-1, QuickBird, and WorldView-3 datasets show that the proposed method presents better fusion performance on objective evaluation indices and subjective perception.
The Authoritarian Data Problem

Abstract:As the race to develop artificial intelligence (AI) accelerates, access to more and higher quality data is becoming increasingly crucial for AI systems. Yet the search for more data for AI facilitates information flow between authoritarian and democratic states in a way that has important implications for the behavior and output of AI. In particular, the homogenization of data, through institutions such as censorship and propaganda in authoritarian regimes can influence the output of AI developed in democracies. On the other hand, data from democracies provide valuable information for AI that is used for repressive purposes in authoritarian regimes. The authors call for greater scholarly and policy attention on the dual effect of the two-way AI-mediated data flow between democratic and authoritarian states and lay out a research agenda that would enable us to better understand the political influences on AI.
HILION - A Model of the High-Latitude Ionospheric F2 Layer and Statistics of Regular Ionospheric Effects at Ft. Churchill, 1968,

Abstract : Part 1 of this report discusses HILION (HIgh Latitude IONosphere), an effort to model many features of the high-latitude ionospheric F2 layer with emphasis on the nighttime trough. The HILION modeling effort was undertaken in two main stages. The first stage was the modeling of many individual electron-density profiles using as input data values of electron density at various altitudes obtained by the Alouette I and II satellites. Programs were also developed to permit the similar modeling of Thomson Scatter data. The second stage was the ionospheric modeling proper, using the modeled profiles developed in the first stage as the input data. In the second study, F2 critical frequency data were assembled and statistically analyzed for the ionosphere above Ft. Churchill. The diurnal and seasonal variations of the peak critical frequency, foF2, have been depicted, and the possibility of determining foF2 at Ft. Churchill from either local or global parameters investigated.
Impacts of Subauroral Polarization Streams on Storm‐Enhanced Density Plume and Consequently on Polar Tongue of Ionization

The influences of subauroral polarization streams (SAPS) on storm‐enhanced density (SED) plume and consequently on polar tongue of ionization (TOI), an important topic in the field of magnetosphere‐ionosphere‐thermosphere coupling, however, remain undetermined. The Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model (TIEGCM) with/without an empirical SAPS model has been used to investigate the impacts of SAPS on local ionosphere‐thermosphere system, which in turn affect the SED plume and consequently the TOI. The modeled total electron content and ion drift velocities agree reasonably well with the observations of Global Navigation Satellite System and Defense Meteorological Satellite Program satellites on 17 March 2013. The TIEGCM simulations show that SAPS can significantly affect the electron density of SED plume and consequently of TOI. The ionospheric‐thermospheric effect of SAPS can reduce the electron density of the SED plume in the afternoon sector and enhance the SED plume in the noon sector, which moves the SED plume dawnward. SAPS‐induced electron depletions in the throat region undergo anti‐sunward convection into the polar cap to weaken the TOI. A term‐by‐term analysis of the O+ ion continuity equation in the F‐region shows that the electron density depletions on the duskward edge of the SED plume are mainly due to the increased local plasma loss rates because of SAPS elevated plasma‐neutral temperatures and O/N2 reduction because of thermosphere upwelling. The electron density enhancements on the edge of the SED plume near noon are mainly due to the SAPS‐induced westward plasma E × B transports and the O/N2 increment because of thermospheric downwelling.
Antinociceptive Effect of Methanol Extract of <i>Diospyros malabarica</i> (Desr.) Kostel Leaves in Mice

Background: Diospyros malabarica (Desr.) Kostel, a small to medium-sized tree in the Ebenaceae family, is known as “Deshi Gab” in Bangladesh. Fever, diabetes, snake bite, diarrhea, biliousness, and ulcer ailments are all treated with the herb. This study’s goal was to examine in mouse models the antinociceptive properties of methanol extract of Diospyros malabarica leaves (MEDM). Methods: For the purpose of determining the antinociceptive activity in mice, five distinct pain models including hot plate, tail immersion, acetic acid-induced writhing, formalin and glutamate-induced nociception tests were used. The conventional medications were morphine sulphate (5 mg/kg, intraperitoneally) and diclofenac sodium (10 mg/kg, intraperitoneally). While the control group was expecting deionized water, MEDM was given orally at dosages of 200, 400, and 600 mg/kg (0.1 mL/mouse, orally). Re-sults: According to the current research, MEDM strongly reflected the anti-nociceptive activity of all mouse models of chemical and heat-induced pain (*p < 0.05). 400 and 600 mg/kg demonstrated a considerable (*p < 0.05) ability to prolong the reaction of latency to pain in opposition to thermally produced nociception in hot plate and tail immersion tests. Inhibition levels
In Vitro BioTransformation (ivBT): Definitions, Opportunities, and Challenges

: Great needs always motivate the birth and development of new disciplines and tools. Here we propose in vitro BioTransformation (ivBT) as a new biomanufacturing platform, between the two dominant platforms—microbial fermentation and enzymatic biocatalysis. ivBT mediated by in vitro synthetic enzymatic biosystems (ivSEBs) is an emerging biomanufacturing platform for the production of biocommodities (i.e., low-value and bulk biochemicals). ivSEB is the in vitro reconstruction of artificial (non-natural) enzymatic pathways with numerous natural enzymes, artificial enzymes, and/or (biomimetic or natural) coenzymes without living cell’s constraints, such as cell duplication, basic metabo-lisms, complicated regulation, bioenergetics, and so on. The two great needs (i.e., food security and the carbon-neutral renewable energy system) have motivated the birth and development of ivBT. Food security could be addressed by making artificial food from nonfood lignocellulose and artificial photosynthesis for starch synthesis from CO 2 . The carbon-neutral renewable energy system could be addressed by the construction of the electricity-hydrogen-carbohydrate cycle, where starch could be a high density of hydrogen carrier (up to 14.8% H 2 wt / wt ) and an electricity storage compound (greater than 3000 Wh/kg). Also, ivBT can make a number of biocommodities, such as inositol, healthy sweeteners (e.g., D - allulose, D -tagatose, D -mannose), advanced biofuels, polymer precursors, organic acids, and so on. The industrial biomanufacturing of the first several biocommodities (e
The influence of adjunctive traditional Chinese medicine therapy on survival in primary liver cancer: a real-world study based on electronic medical records

Background: Traditional Chinese medicine (TCM) effectively improves the survival rate and quality of life of primary liver cancer patients, but high-level evidence is lacking. Patients and methods: Patients were selected from 5 tertiary hospitals in Henan Province, China. Two thousand sixty-seven patients with primary liver cancer were included in the study. The electronic medical records (EMRs) of the patients were collected. Patients who received adjunctive TCM treatment and underwent treatment cumulative time for more than 1 month were classified as the TCM intervention cohort. Patients who did not receive adjunctive TCM treatment or underwent treatment cumulative time for less than 1 month were classified as the non-TCM intervention cohort. The main outcome indicators were the survival rate and overall survival time. The propensity score inverse probability weighting method was used to balance the differences between the groups. Results: The primary cohort comprised 2,067 patients, including 462 patients who received adjunctive TCM treatment and 1,605 patients who did not receive adjunctive TCM treatment. The results of the Kaplan‒Meier survival curve indicated that the survival rate and median survival time of the exposure group before and after propensity score weighting were greater than those of the control group (p < 0.0001). Univariate Cox regression analysis after propensity score weighting showed that adjunctive TCM treatment was an independent protective factor for survival [regression coefficient = −0.215, hazard ratio (HR) = 0.8066, 95% confidence interval (CI) (0.6609–0.9844)]. Conclusion: Adjuvant treatment with TCM has a protective effect on the prognosis of patients with primary liver cancer; it can reduce the mortality and prolong the survival time.
Secrecy Analysis of Directional mmWave UAV-Based Links Under Hovering Fluctuations

Recent developments in Unmanned Aerial Vehicles (UAVs) technology have paved the way to their utilization in different fields and applications. Among these applications, UAVs have been widely investigated as a good candidate to serve as mobile base-stations that can provide prompt and temporary coverage of wireless connectivity for specific areas. Recent studies that address different UAVs’ performance aspect lack of considering more practical channel models. Therefore, in this paper, based on a recent three dimensional channel modeling of UAV-based links, the secrecy analysis is in detail conducted for UAV-based links operating on the millimeter wave band. Specifically, the average channel capacity, the average secrecy capacity and the probability of strictly positive secrecy capacity are all investigated between two UAVs in the presence of another UAV-based eavesdropper. Our results include closed form expressions of the addressed secrecy metrics along with simulation results that reveal the impact of different operational parameters on the secrecy performance.
BARKAT: A NEW HIGH FODDER YIELDING OAT (AVENA SATIVA L.) VARIETY WITH BETTER NUTRITIONAL VALUE

Oats are utilized primarily as feed for domestic animals and is also fourth most important cereal crop of the world. The Fodder Research Center, Sargodha, used conventional breeding techniques to generate the general cultivar "Barkat" of oat (Avena sativa L.). It will be launched in 2021. The "FRI-01" commercial cultivar is a highly uniform off spring of the crosses between parental accessions (No. 970 and No. 288) and subsequent selections in multiple segregating populations (F2 through F6) using pedigree procedures. The cultivar outperformed the commercial check "Sargodha-Oat 2011" by 10% and 12.76% in forage yield during 2014-2015 and 2015-2016 station trials, respectively, and by 13.32% in fodder yield during 2016-17 at the zonal level. It is a late-maturing green cultivar that produces light brown seed and has a tall, multi-tillering plant form. It gave 7.13% higher fodder yield during 2017-18 and 22.38% increase over check variety during 2018-19 in national trials. Forage qualities include high palatability (85%), protein content (10.6%), and tolerance to biotic and abiotic stresses. The flowers bloom roughly ten days after the reference variety. Barkat (FRI-01) sown on 1st October and 15th October gave highest fodder yield in comparison with other tested sowing dates while maximum green fodder yield 87 ton ha-1 at 80 kg per ha seed rate and 30 cm row spacing. Barkat (FRI-01) will be extremely valuable cultivars in both irrigated and desert region of Punjab Province due to its high yield, great palatability, higher protein contents than standard check, and tolerance to biotic and abiotic stress. Also, the cultivar can serve as a parental line in future efforts to enhance oat genetics.
Improving FIA trend analysis through model-based estimation using landsat disturbance maps and the forest vegetation simulator

The Forest Inventory and Analysis (FIA) Program's panel system, in which 10-20 percent of the sample is measured in any given year, is designed to increase the currency of FIA reporting and its sensitivity to factors operating at relatively fine temporal scales. Now that much of the country has completed at least one measurement cycle over all panels, there is an immediate need for estimation strategies which make the best use of this sampling schedule. A primary obstacle is that only a fraction of plots can be considered current in any particular year. This leaves the analyst with a choice of ignoring annual trends or creating estimates one panel at a time and suffering precision losses which may render apparent year-to-year differences uninterpretable. One option for increasing the temporal specificity of estimates is to update plot conditions for every year in a time series using the Forest Vegetation Simulator (FVS) and to use model-based estimation to create annual estimates using "observations" from every plot. The variance estimators used in such an approach would incorporate both sample and model uncertainty, the latter of which could be assessed at remeasured FIA plots. Disturbance maps created from time series of Landsat (or similar sensor) satellite imagery could be used to identify and appropriately alter FVS simulations for those plots which have been disturbed. Use of disturbance maps would allow sensitivity to year-to- year variation in the disturbance rate. FIA has recent experience in all of the components of the proposed approach including FVS, Landsat disturbance mapping, and model-based estimation. Further study to integrate these components into a production estimation system is warranted.
Pengaruh Quality Of Work Life (QWL) dan Beban Kerja Terhadap Kepuasan Kerja Pegawai Pada Kantor X

ABSTRAK Penelitian ini bertujuan untuk mengetahui dan menganalisis apakah terdapat pengaruh quality of work life dan beban kerja terhadap kepuasan kerja pegawai pada Kantor X. Penelitian ini dikategorikan sebagai penelitian kuantitatif dengan instrumen berupa kuesioner. Populasi dalam penelitian ini adalah seluruh pegawai Kantor X sebanyak 41 orang. Teknik pengambilan sampel dengan cara teknik sampling jenuh atau sensus. Sampel dalam penelitian ini adalah dengan mengambil populasi atau sebanyak 41 sampel. Data yang digunakan dalam penelitian ini adalah data primer yang diperoleh melalui Kuesioner. Uji validitas instrumen menggunakan rumus Correclation Bivariate, sedangkan uji reliabilitas menggunakan Cronbach Alpha. Alat ukur terbukti valid dan reliabel untuk instrumen penelitian. Analisis regresi berganda digunakan untuk uji hipotesis penelitian ini. Berdasarkan hasil penelitian ini diketahui bahwa hasil uji regresi linier berganda adalah Y = 2,826 + 0,16 X1 + 1,082 X2, dimana Quality Of Work Life (X1), Beban Kerja (X2), dan Kepuasan Kerja (Y). Kemudian hasil uji T variabel Quality Of Work Life tidak berpengaruh signifikan terhadap kepuasan kerja pegawai (1,488 1,6828. Uji F secara bersama-sama terdapat pengaruh signifikan terhadap kepuasan kerja pegawai ( 247,626 > 2,85 ). Hasil uji R square memberikan nilai sebesar 0,925 yang artinya 92,5% variabel kepuasan kerja pegawai dapat dijelaskan melalui kedua variabel independen, Sedangkan sisanya sebesar 7,5 % dipengaruhi atau dijelaskan oleh faktor-faktor lain yang tidak dimasukkan dalam penelitian ini. Kata Kunci: Quality Of Work Life, Beban kerja, dan Kepuasan kerja pegawai.
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation

Unsupervised image-to-image translation aims at learning a mapping between two visual domains. However, learning a translation across large geometry variations al- ways ends up with failure. In this work, we present a novel disentangle-and-translate framework to tackle the complex objects image-to-image translation task. Instead of learning the mapping on the image space directly, we disentangle image space into a Cartesian product of the appearance and the geometry latent spaces. Specifically, we first in- troduce a geometry prior loss and a conditional VAE loss to encourage the network to learn independent but com- plementary representations. The translation is then built on appearance and geometry space separately. Extensive experiments demonstrate the superior performance of our method to other state-of-the-art approaches, especially in the challenging near-rigid and non-rigid objects translation tasks. In addition, by taking different exemplars as the ap- pearance references, our method also supports multimodal translation. Project page: https://wywu.github. io/projects/TGaGa/TGaGa.html
Toxicity of plants as insecticides against human pathogenic mosquito vectors of Saudi Arabian strains—A review

Mosquitoes (Diptera: Culicidae) are considered to be huge threat among millions of peoples, animals, and other living organisms in the world. Most of the vector borne diseases such as malaria, filariasis, dengue hemorrhagic fever, chikungunya, Japanese encephalitis etc., created huge impact on humans in all over the world. Vector diseases in Kingdom of Saudi Arabia are increasing day by day and their control measures taken through the government sectors for eradicating the vectors helps in controlling the diseases but still more approaches to be implemented or assimilated. Most of the synthetic or chemical based insecticides to control mosquitoes developed resistance among their communities even though they showed their potential in controlling the vector in initial days. Botanical insecticides from plant‐based origin such as active compounds, essential oils, green synthesized nanomaterials, and microbial secondary metabolites helps more efficiency in controlling vectors. Mode of action against vectors differs based on its persisting active ingredients, such as larvicidal, pupicidal, adulticidal, oviposition, morphological changes etc. Even though number of research works has been carried out against mosquito species, there is only limited number of studies undergone against mosquito vectors from Saudi Arabia origin. Hence this review will give us the current knowledge on the effectiveness of botanical insecticides against major mosquito vectors from Saudi Arabia. Thus, it gives more significant against medical and veterinary sectors.