Miracle-dz/UniFAR-FTUs huggingface dataset:
LDPC Decoder Design Using Compensation Scheme of Group Comparison for 5G Communication Systems

This paper presents a dual-mode low-density parity-check (LDPC) decoding architecture that has excellent error-correcting capability and a high parallelism design for fifth-generation (5G) new-radio (NR) applications. We adopted a high parallelism design using a layered decoding schedule to meet the high throughput requirement of 5G NR systems. Although the increase in parallelism can efficiently enhance the throughput, the hardware implementation required to support high parallelism is a significant hardware burden. To efficiently reduce the hardware burden, we used a grouping search rather than a sorter, which was used in the minimum finder with decoding performance loss. Additionally, we proposed a compensation scheme to improve the decoding performance loss by revising the probabilistic second minimum of a grouping search. The post-layout implementation of the proposed dual-mode LDPC decoder is based on the Taiwan Semiconductor Manufacturing Company (TSMC) 40 nm complementary metal-oxide-semiconductor (CMOS) technology, using a compensation scheme of grouping comparison for 5G communication systems with a working frequency of 294.1 MHz. The decoding throughput achieved was at least 10.86 Gb/s without evaluating early termination, and the decoding power consumption was 313.3 mW.
Plant-Soil Interactions of an Invasive Plant Species in its Native Range Help to Explain its Invasion Success Elsewhere

Purpose: To compare plant-soil feedback (PSF) of invasive Cirsium vulgare and non-invasive C. oleraceum in their native range to test a hypothesis that the invasive species is more limited by specialized pathogens in the native range and/or able to benefit more from generalist mutualists, and thus may benefit more from loss of specialized soil biota in a secondary range.Methods: We assessed changes in soil nutrients and biota following soil conditioning by each species and compared performance of plants grown in self-conditioned and control soil, from which all, some or no biota was excluded. Results: The invasive species depleted more nutrients than the non-invasive species and coped better with altered nutrient levels. The invasive species had higher seedling emergence which benefited from presence of non-specific microbes. The invasive species biomass responded less positively to specialized (self-conditioned) microbiota and more negatively to specialized larger-sized biota compared to the non-specialized control biota, suggesting the species may benefit more from enemy release and suffer less from loss of specialized mutualists when introduced to a secondary range. The invasive species showed greater ability to decrease its root-shoot ratio in presence of harmful biota and thus reduce their negative effects on its performance.Conclusions: Our study highlights the utility of detailed PSF research in the native range of species for understanding the factors that regulate performance of invasive and non-invasive species in their native range, and for pinpointing the types of biota involved in their regulation and how this changes across the plants life cycle.
Therapeutic efficacy of rifaximin loaded tamarind gum polysaccharide nanoparticles in TNBS induced IBD model Wistar rats

Background Rifaximin is a non-systemic antibiotic used in the treatment of inflammatory bowel disease (IBD). Antibiotics are demonstrating a significant role in the treatment of IBD by altering the dysbiotic colonic microbiota and decreases the immunogenic and inflammatory response in the patient population. Mucoadhesive colon targeted nanoparticles provide the site-specific delivery and extended stay in the colon. Since the bacteria occupy the lumen, spread over the surface of epithelial cells, and adhere to the mucosa, delivering the rifaximin as a nanoparticles with the mucoadhesive polymer enhances the therapeutic efficacy in IBD. The objective was to fabricate and characterize the rifaximin loaded tamarind gum nanoparticles and study the therapeutic efficacy in the TNBS-induced IBD model rats Materials and methods The experimentation includes fabrication and characterization of drug excipient compatibility by FTIR. The fabricated nanoparticles were characterized for the hydrodynamic size and zeta potential by photon correlation spectroscopy and also analyzed by TEM. Selected best formulation was subjected to the therapeutic efficacy study in TNBS-induced IBD rats, and the macroscopic, microscopic and biochemical parameters were reported. Results The study demonstrated that the formulation TGN1 is best formulation in terms of nanoparticle characterization and hydrodynamic size which showed the hydrodynamic size of 171.4 nm and the zeta potential of −26.44 mV and other parameters such as TEM and drug release studies were also reported. Conclusions The therapeutic efficacy study revealed that TGN1 is efficiently reduced the IBD inflammatory conditions as compared to the TNBS control group and reference drug mesalamine group.
Copyright Protection of 3D Digitized Artistic Sculptures by Adding Unique Local Inconspicuous Errors by Sculptors

In recent years, digitization of cultural heritage objects, for the purpose of creating virtual museums, is becoming increasingly popular. Moreover, cultural institutions use modern digitization methods to create three-dimensional (3D) models of objects of historical significance to form digital libraries and archives. This research aims to suggest a method for protecting these 3D models from abuse while making them available on the Internet. The proposed method was applied to a sculpture, an object of cultural heritage. It is based on the digitization of the sculpture altered by adding local clay details proposed by the sculptor and on sharing on the Internet a 3D model obtained by digitizing the sculpture with a built-in error. The clay details embedded in the sculpture are asymmetrical and discreet to be unnoticeable to an average observer. The original sculpture was also digitized and its 3D model created. The obtained 3D models were compared and the geometry deviation was measured to determine that the embedded error was invisible to an average observer and that the watermark can be extracted. The proposed method simultaneously protects the digitized image of the artwork while preserving its visual experience. Other methods cannot guarantee this.
Composition, structure and diversity of tree and shrub strata in a tropical deciduous forest at Tehuacán Valley, Mexico

An analysis of the floristic composition, structure and diversity of the tree and shrub strata was carried out at the tropical deciduous forest of El Picante hill, located in San Jose Tilapa, Puebla. Five transects (T1-T5) were located along the elevation range of 1,055 to 1,095 m asl and the “point-centred quarter” sampling method was used. A total of 53 taxa belonging to 47 genera and 28 families were recorded. The best-represented families were Fabaceae, Cactaceae, Asteraceae and Burseraceae. The main indicators in the tropical deciduous forest were those taxa with the highest importance value indexes (IVI), in the tree stratum were Ceiba aesculifolia, Bursera morelensis and B. aptera , while in the shrub stratum were Lippia graveolens, Parthenium fruticosum and Acaciella angustissima . T4 recorded the highest richness, on the other hand, T5 stood out by the presence of the greatest abundance of trees and shrubs. This study complements the structure and diversity knowledge of this ecosystem in Tehuacan Valley, Mexico.
The bigger the better? Predation and prey size choice in a patchy environment

Prey individuals vary in their body size even within groups and are often scattered heterogeneously in patchy environments. A foraging predator has to evaluate and select the patches where it can maximize its energetic gains. We studied the foraging behavior of a predator (little egret, Egretta garzetta) hunting prey groups (goldfish, Carassius auratus) that differed in body size and composition across three different patches (one large, one mixed, and one small). We quantified predator’s stay time, return time and size-specific kills of the prey. The egret spent a similar amount of total time foraging in the three patches; however, it spent more time per-visit in pools containing large-bodied fish and also returned to those pools soonest after leaving to forage elsewhere, suggesting that the predators employ a time management strategy to maximize energetic returns. Furthermore, the egret preferentially killed larger individuals. Such size-selective predation can shift the prey size structure in the landscape and influence the dynamics of species interactions and eventually the structure of the communities.
The effects of Staphylococcus aureus biofilm conditioned media on 3T3 fibroblasts

ABSTRACT Staphylococcus aureus (SA) is the most common bacterial species in chronic wounds. However, there is a lack of understanding of how SA secretions affect the cell biology during the healing process. We studied the effects of biofilm-secretions from SA strain SA29213 on 3T3 fibroblasts. SA29213 is a chronic wound isolate and widely used as a reference strain. We used a series of concentrations of biofilm-conditioned media (BCM) and found 100% BCM is lethal within 10 h. Cells survived in ≤75% BCM but the rate of closure in scratch wound assays was reduced. Treatment with 75% and 50% BCM caused fibroblasts to change shape and develop dendrite like processes. Prolonged treatment with 75% and 50% BCM reduced cell proliferation and increased the 4n deoxyribonucleic acid cell population with cell cycle arrest. There was also an elevation in the senescence marker beta galactosidase and the number of multinucleated cells. Shorter treatments with 75% and 50% SA BCM caused an increase in cell–cell adhesion and a redistribution of β-catenin from the cell membrane to the cytoplasm along with a change in the appearance and decrease in size of ZO-1, vinculin and paxillin structures. Fibroblasts in the edge of chronic wounds exposed to the secretions of SA may suffer similar effects such as induction of senescence, reduced proliferation and migration, which may contribute to the delayed healing of these chronic infected wounds.
Do the Green Credit Guidelines Affect Renewable Energy Investment? Empirical Research from China

How to promote renewable energy investment is central to energy transformation and green development. To take China’s “green credit guidelines” policy as a quasi-natural experiment, we investigate the impacts of green credit policy on renewable energy investment. Using the samples of 1021 Chinese listed enterprises during 2007–2017, we find that: Firstly, the introduction of the green credit guidelines has promoted renewable energy investment. Secondly, short-term debts play a mediating role in the impacts of green credit guidelines on renewable energy investment, while long-term debts play a masking role, and financing constraints do not play a significant role. Thirdly, the heterogeneous impacts on renewable energy investment are reflected in different ownerships and enterprise scales, with significant impacts on the state-owned enterprises and small ones.
A CNN Regression Approach to Mobile Robot Localization Using Omnidirectional Images

Understanding the environment is an essential ability for robots to be autonomous. In this sense, Convolutional Neural Networks (CNNs) can provide holistic descriptors of a scene. These descriptors have proved to be robust in dynamic environments. The aim of this paper is to perform hierarchical localization of a mobile robot in an indoor environment by means of a CNN. Omnidirectional images are used as the input of the CNN. Experiments include a classification study in which the CNN is trained so that the robot is able to find out the room where it is located. Additionally, a transfer learning technique transforms the original CNN into a regression CNN which is able to estimate the coordinates of the position of the robot in a specific room. Regarding classification, the room retrieval task is performed with considerable success. As for the regression stage, when it is performed along with an approach based on splitting rooms, it also provides relatively accurate results.
Analysis of Enhanced Geothermal System Development Scenarios for District Heating and Cooling of the Göttingen University Campus

The huge energy potential of Enhanced Geothermal Systems (EGS) makes them perspective sources of non-intermittent renewable energy for the future. This paper focuses on potential scenarios of EGS development in a locally and in regard to geothermal exploration, poorly known geological setting—the Variscan fold-and-thrust belt —for district heating and cooling of the Göttingen University campus. On average, the considered single EGS doublet might cover about 20% of the heat demand and 6% of the cooling demand of the campus. The levelized cost of heat (LCOH), net present value (NPV) and CO2 abatement cost were evaluated with the help of a spreadsheet-based model. As a result, the majority of scenarios of the reference case are currently not profitable. Based on the analysis, EGS heat output should be at least 11 MWth (with the brine flow rate being 40 l/s and wellhead temperature being 140 °C) for a potentially profitable project. These parameters can be a target for subsurface investigation, reservoir modeling and hydraulic stimulation at a later stage. However, sensitivity analysis presented some conditions that yield better results. Among the most influential parameters on the outcome are subsidies for research wells, proximity to the campus, temperature drawdown and drilling costs. If realized, the EGS project in Göttingen might save up to 18,100 t CO2 (34%) annually.
Bias analysis of generalized estimating equations under measurement error and practical bias correction

A correctly specified working correlation structure ensures the efficiency in inferences for marginal regressions based on estimating equations. When there are measurement errors in covariates, however, correct specification of the working correlation structure may lead to more severe bias and higher mean squared error than working independence. We report this lesser known phenomenon and explain it in a bias analysis. The bias can be corrected using a functional approach with efficiency improved through the generalized method of moments, which works well only for large samples. For practical purposes, we further address two computational issues and correct the variance estimator for small samples. The proposed approaches are validated in simulation studies and illustrated in an example. The methods are publicly available in an R package eiv.
Connection between interannual variation of spring precipitation in Northeast China and preceding winter sea ice over the Barents Sea

This study discusses the interannual variation of spring precipitation in Northeast China (NECSP) from 1980 to 2016 and its relationship with Arctic sea ice based on observation data and numerical experiments. The observed results reveal that the leading mode of NECSP mainly exhibits a homogenous pattern with a significant interannual variation. The NECSP has a significant negative correlation with the preceding winter Barents Sea ice concentration (BSIC) at the interannual scale. In the preceding winter, the decreased BSIC resulted in positive geopotential height anomalies over the polar region, which could weaken the polar vortex and westerly winds, forming a cyclonic anomaly indirectly over West Siberia. The circulation anomalies resulted in a zonal dipole pattern of preceding winter snow water equivalent (SWE) anomalies in the mid‐high latitudes of Eurasia with less SWE over Eastern Europe and more SWE over West Siberia. The SWE anomalies in winter could persist to the subsequent spring and facilitate more precipitation over Northeast China (NEC) by local thermal processes affecting circulation anomalies over Eurasia. On the other hand, the negative preceding winter BSIC anomalies can persist to spring, increasing the NECSP by strengthening the cyclonic anomalies over NEC. In this study, the response of the atmosphere to the thermal effect of SWE is further verified by using the linear baroclinic model (LBM). The response of NECSP to BSIC loss is tested by using the Community Atmosphere Model version 5.3 (CAM5.3).
Renal microvascular damaged in diabetes mellitus with hyperlipidemia through the regulation of MAMs by PACS2 in endothelial cell

Background: The prevalence of diabetic vascular complications is rapidly increasing, especially in the diabetes mellitus with hyperlipidemia. Consistent hyperglycemia and hyperlipidemia impairs microvascular, but lack of effective intervention target to prevention or reduced the risk of serious bad ending. Methods: A mouse model of diabetes combined with hyperlipidemia were established by STZ injection and high fat diet to observe the possible damage of HGHF to renal blood vessels include vascular permeability, fibrosis and subcellular structure. Then, we replicated an in vitro endothelial cell injury model treated by 30mm Glucose and 0.1mm palmitic acid to verify its main functional changes. Proteomics and metabolomics were used to explore the molecular mechanisms behind diabetic microvascular damage. The mechanisms were further verified at siRNA interference and transgenic knockout mice. Results: We found that renal vascular permeability impaired and fibrosis increased significantly in the stz+HFD mice. In human umbilical vein endothelial cells (HUVECs) treated with high glucose/high fat (HGHF), the number of mitochondrial-associated membranes (MAMs) and the expression of phosphofurin acidic cluster sorting protein 2 (PACS2) increased. In particular, gene manipulation of PACS2 altered endothelial cell MAMs. Knocking down PACS2 restored the barrier function of HUVECs. In vivo, knocking out PACS2 ameliorated the kidney injury in diabetic mice induced by streptozotocin and fed with high-fat diet for up to 20 weeks. PACS2-/- mice leaked less vascular Evan’s blue and improved glomerular fibrosis in the kidney tissue of hyperglycemia and hyperlipidemia mouse model. We further observed the reduction of fatty acid β-oxidation (FAO), CPT1α expression, and NADPH production in endothelial cells induced by HGHF. These changes in fatty acid metabolism were rescued by silencing PACS2, but were blocked by the FAO inhibitor, etomoxir. Conclusion: PACS2 impacts the metabolic response of endothelial cells to HGHF through MAMs. Loss of PACS2 expression reduces glomerular endothelial cells barrier injury, induced by VE-Cadherin internalized under HGHF. PACS2 play a metabolism and MAMs regulators in the vascular endothelial cells of diabetes with hyperlipidemia.
“The Effect of Atrial Septal Defect Closure on Cardiac Volumetric Changes in Adults, Transcatheter Versus Surgical Closure, and the Outcome of Tricuspid Regurgitation, a Pilot Cmr Study”

BackgroundClosure of an atrial septal defect (ASD) reduces right heart volumes by eliminating shunting while improving left ventricle (LV) filling and function due to ventricular interdependence, thereby improving symptoms. Furthermore, studies on atrial volume changes following ASD closure are paucity. Functional tricuspid regurgitation (TR) is frequently seen in adult patients with ASD as a consequence of right ventricle (RV) dilatation. Cardiac magnetic resonance (CMR) is widely accepted as the gold standard method for measuring cardiac volume and mass.ObjectiveWe aimed at studying the cardiac volumetric changes preclosure and 6 months after transcatheter and surgical closure, as well as fate of TR, using CMR analysis. MethodsWe prospectively enrolled 30 adult patients with isolated secundum ASD who were referred for ASD closure. CMR evaluates the right and left atrial volumes, as well as the ventricular end diastolic and end systolic volume indexes (EDVI and ESVI), function, the mass index, and tricuspid regurgitant fraction.ResultsRV volumes decreased in both groups when compared to baseline (P value 0.001), with the device group experiencing more reduction in volumes and improvement in RV function after closure (P 0.001). In each group, the absolute value of RV mass decreased significantly from the baseline (P value (0.001)), but with no difference between groups (P value 0.31). Improvement in functional TR occurred in both groups. LVEDVI increased significantly in both groups (P values 0.001 and 0.005, respectively), with a significant improvement in the LV mass index (P value = 0.01) and a non-significant difference in LVESVI. Only device closure resulted in an improvement in LV function (63.53 ± 3.85 versus 67.13 ± 4.34, P value =0.01). There was a significant reduction in right atrial (RA) volume (P value = 0.5), with a trend to decrease in left atrial (LA) volume but it was insignificant, with no difference between groups.Conclusion﻿Our findings revealed that both procedures resulted in normalization of ventricular volume and reduction of RA volumes, with only the device group showing improvement in ventricular function. Functional TR improved after closure with either a device or a surgical approach.
The Role of Tourism in Economic Growth: Empirical Evidence from Saudi Arabia

Tourism is vital to the success of many economies worldwide and has been a widely researched area for many years. Unfortunately, an insufficient number of studies have been conducted on this subject in the context of Saudi Arabia. Therefore, this research investigates the role of tourism in promoting economic growth in the Kingdom of Saudi Arabia by using annual time series data from 2003 to 2019. The study uses basic statistics, correlation coefficients, the unit root test, the Johansen co-integration test, the co-integration regression test and the Granger causality test to check the relationship between tourism and economic growth. The results show that economic growth has a long-run relationship with tourism receipts, tourism expenditures and the number of tourist arrivals; the number of tourist arrivals has a strong relationship with economic growth, compared to other parameters. The empirical results validate the concept that tourism promotes economic growth in the kingdom of Saudi Arabia.
Comparison of biochemical and antimicrobial activities of different honey samples

Honey, a natural healing agent and a sweet food, has been used since ancient times. A honey sample could possess many biological activities depending on its chemical composition. The amount and the diversity of these minor components of honey mainly depend on the floral sources. That is why the biological activity of the honey sample obtained in a region should be determined. In this study, total phenolic and flavonoid content, antioxidant activity, melissopalynological analyses and antimicrobial activity of twenty honey samples obtained from Doganyol, Malatya, Turkey were examined. In order to determine the in vitro antibacterial activity of honey samples, the agar well diffusion (AWD) method, minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) assays were used. For this purpose, ten Gram-positive bacteria and eight Gram-negative bacteria were used. Total phenolic content was found in the range from 9.68 ± 0.72 to 29.40 ± 1.03 mg GAE g–1 sample. Antioxidant activity of honey samples varied from 2.21 ± 0.46 to 6.03 ± 1.11 µmol FeSO4 7H2O g–1. Honey samples showed moderate antimicrobial activity against tested microorganisms, especially against Gram-positive bacteria. It could be concluded from our findings that there is a good correlation between total phenolic content and the biological activity of honey samples.