Miracle-dz/UniFAR-FTUs huggingface dataset:
Affinity Alloc: Taming Not - So Near-Data Computing

To mitigate the data movement bottleneck on large multicore systems, the near-data computing paradigm (NDC) offloads computation to where the data resides on-chip. The benefit of NDC heavily depends on spatial affinity, where all relevant data are in the same location, e.g. same cache bank. However, existing NDC works lack a general and systematic solution: they either ignore the problem and abort NDC when there is no spatial affinity, or rely on error-prone manual data placement.Our insight is that the essential affinity relationship, i.e. data A should be close to data B, is orthogonal to microarchitecture details and input sizes. By co-optimizing the data structure and capturing this general affinity information in the data allocation interface, the allocator can automatically optimize for data affinity and load balance to make NDC computations truly near data.With this insight, we propose affinity alloc, a general framework to optimize data layout for near-data computing. It comprises an extended allocator runtime, co-optimized data structures, and lightweight extensions to the OS and microarchitecture. Evaluated on parallel workloads across broad domains, affinity alloc achieves 2.26× speedup and 1.76× energy efficiency over a state-of-the-art near-data computing technique with 72% traffic reduction.CCS CONCEPTS• Computer systems organization → Multicore architectures; • Software and its engineering → Allocation / deallocation strategies.
ILPO-MP: Mode Priors Prevent Mode Collapse when Imi-tating Latent Policies from Observations

Imitation learning from observations (IfO) constrains the classic imitation learning setting to cases where expert observations are easy to obtain, but no expert actions are available. Most existing IfO methods require access to task-specific cost functions or many interactions with the target environment. Learning a forward dynamics model in combination with a latent policy has been shown to solve these issues. However, the limited supervision in the IfO scenario can lead to mode collapse when learning the generative forward dynamics model and the corresponding latent policy. In this paper, we analyze the mode collapse problem in this setting and show that it is caused by a combination of deterministic expert data and bad initialization of the models. Under the assumption of piecewise continuous system dynamics, we propose ILPO-MP, a method to prevent the mode collapse using clustering of expert transitions to impose a mode prior on the generative model and the latent policy. We show that ILPO-MP prevents mode collapse and improves performance in a variety of environments.
A comparative analysis of parallel SSHI and SEH for bistable vibration energy harvesters

The present work focuses on ambient vibration energy harvesting. Specifically, this article deals with bistable piezoelectric energy harvesters (PEHs) which exhibits a wider bandwidth than linear oscillators. These complex systems require an energy extraction circuit (EEC) to rectify their voltage to supply power to autonomous sensors. This EEC needs to be optimized in order to increase the harvested power and even the bandwidth of PEHs. Because of the complex dynamics of bistable PEHs, there is a lack of simple and physically-insightful models in the literature that would allow the understanding and optimization of the extraction circuit. To address this issue, the present work derives closed-form models of a bistable PEH coupled to a passive and an active synchronous EEC: respectively the standard energy harvesting (SEH) circuit and the parallel synchronized switch harvesting on inductor (P-SSHI) circuit. Experimental measurements conducted on a custom bistable PEH demonstrate the validity of the proposed models with a relative error lower than 15% on the harvested power and the bandwidth. The proposed models allow to easily understand the influence of the P-SSHI circuit on the dynamics of a bistable PEH. Moreover, a comparison of the performance of the SEH and the P-SSHI circuits, valid for any bistable generator, is proposed. The latter shows that under low electromechanical coupling and low acceleration amplitude the P-SSHI circuit leads to multiply the maximum harvested power up to 4.3 compared to the SEH circuit, and the bandwidth by a factor of 2.3.
Ecological security evaluation of bamboo forest eco-tourism area in Gaoping of Nanping

Based on the theory and research methods of ecological security and PSR index system model, the paper establishes indicators system of the ecological evaluation about bamboo forest eco-tourism area in Gaoping of Nanping from three aspects of eco-environmental stress, eco-environmental state and eco-environmental response. Using this system, the situation of the ecological security in research area is given the quantitative evaluation. The results showed that ecological security index value in the bamboo forest eco-tourism area in Gaoping of Nanping is 0.7002, which belongs to a relatively safe state.
Stem Cell Repor ts

Human fetal tissue and cells derived from fetal tissue are crucial for biomedical research. Fetal tissues and cells are used to study both normal development and developmental disorders. They are broadly applied in vaccine development and production. Further, research using cells from fetal tissue is instrumental for studying many infectious diseases, including a broad range of viruses. These widespread applications underscore the value of fetal tissue research and reﬂect an important point: cells derived from fetal tissues have capabilities that cells from other sources do not. In many cases, increased functionality of cells derived from fetal tissues arises from increased proliferative capacity, ability to survive in culture, and developmental potential that is attenuated in adult tissues. This review highlights important, representative applications of fetal tissue for science and medicine.
Associations between Power Training-Induced Changes in Body Composition and Physical Function in Older Men: A Pre-Test–Post-Test Experimental Study

Background: It is well-established that cross-sectional measurements of poor body composition are associated with impaired physical function and that power training effectively enhances total lean mass and physical function in older adults. However, it is unclear if power training-induced changes in body composition are associated with improved physical function in older adults. Aim: The present study investigated associations between body composition and physical function cross-sectionally and with power training-induced changes in older men. Methods: Forty-nine older men (68 ± 5 yrs) completed a 10-week biweekly power training intervention. Body composition was measured using dual-energy X-ray absorptiometry. Physical function was assessed as a composite Z-score combining measures from Sit-to-stand power, Timed up-and-go time, and loaded and unloaded Stair-climbing time (15 steps). Linear and quadratic regression analyses were performed to assess associations between body composition and physical function. Results: At baseline, total (R2 = 0.11, p < 0.05) and percentage body fat (R2 = 0.15, p < 0.05) showed a non-linear relationship with physical function. The apex of the quadratic regression for body composition was 21.5% body fat. Furthermore, there was a non-linear relationship between changes in body fat percentage and physical function from pre- to post-intervention (R2 = 0.15, p < 0.05). Conclusion: The present study’s findings indicate that participants with a body composition of ~20% body fat displayed the highest level of physical function at baseline. Furthermore, despite small pre–post changes in body fat, the results indicate that those who either preserved their body fat percentage or experienced minor alterations observed the greatest improvements in physical function.
A 6-yr evaluation of prescribed-fire timing on yearling cattle growth performance and plant community dynamics on native tallgrass prairie in the Kansas Flint Hills

Abstract A 6-yr experiment was conducted to determine the effects of prescribed-fire season on stocker cattle growth performance and rangeland plant community characteristics in the Kansas Flint Hills. Eighteen pastures were grouped by watershed and each watershed was randomly assigned to 1 of 3 prescribed-fire treatments: spring (11 April ± 5.7 d), summer (25 August ± 6.2 d), or autumn (2 October ± 9.0 d). All burns were applied prior to grazing in years 1, 2, 3, and 5; however, no burns were applied in year 4 because of unfavorable burn conditions. Over 5 consecutive grazing seasons, 1,939 yearling stocker calves (initial BW = 281 ± 58.9 kg) were grazed from May to August at a targeted stocking density of 280 kg live-weight + ha−1. Beginning in June of 2018 (pretreatment), a permanent 100-m transect was established in each pasture and was used to determine plant-species composition using a modified step-point method. Forage biomass accumulation and root carbohydrate concentrations of 4 native tallgrass plant species were also measured. All data were analyzed as a completely randomized design using a mixed model. Average daily gain (ADG) was 0.05 to 0.07 kg greater (P = 0.02) for calves grazing spring-burned pastures compared with calves grazing summer- or autumn-burned pastures; however, ADG did not differ (P ≥ 0.55) between calves assigned to the summer or autumn prescribed-fire treatments. Basal cover of all graminoids and all forbs did not differ (P ≥ 0.30) among prescribed-fire treatments; however, basal cover of C3 grasses tended (P = 0.06) to be greater while basal cover of C4 grasses tended (P = 0.08) to be less in autumn-burned pastures compared with spring-burned pastures. Forage biomass accumulation did not differ (P = 0.58) among treatments. In addition, root starch or root water-soluble carbohydrate concentrations in big bluestem (Andropogon gerardii), little bluestem (Schizachyrium scoparium), Indiangrass (Sorghastrum nutans), or purple prairieclover (Dalea purpurea) did not differ (P ≥ 0.26) among prescribed-fire treatments. Overall, we interpreted these data to suggest that prescribed-fire timing had small influences on yearling stocker cattle growth performance and rangeland plant composition but did not influence forage biomass accumulation or root carbohydrate concentrations of key native tallgrass plant species in the Kansas Flint Hills.
SWERUS-C3 (pH, TA, DIC)

This document outlines the procedures followed in the collection and determination of pH, DIC, and TA of seawater samples onboard I/B Oden during the 2014 Swedish-Russian-US Arctic Ocean Investigation of Climate-Cryosphere-Carbon Interactions Program, the SWERUS-C3 Program. SWERUS-C3 consists of two 45-day legs, investigating the outer Siberian Shelf and its adjacent slope and ridges. Leg 1 started 5 July in Tromso, Norway, rotation to Leg 2 20 August in Barrow, AK, USA, ending 4 October in Tromso, Norway. This document describes the dataset acquired outside the Russian Exclusive Economic Zone and comprise a total of 596 samples from Leg 1 (9 stations) and Leg 2 (30 stations). Seawater was sampled throughout the water column at predefined depths and analyzed onboard within hours (Dickson et al., 2007). All samples were drawn from the rosette by Leif G. Anderson and Ola Holby and were analyzed and processed by Adam Ulfsbo, Sara Jutterstrom, and Leif G. Anderson (University of Gothenburg, Sweden). Data quality is discussed in this report. Resulting data is correctable through the use of certified reference material (CRM), after which data is deemed to be of reasonably high quality. *To whom correspondence should be addressed. E-mail: leifand@chem.gu. se
Declination affects geomagnetic field‐modulated geotaxis in fruit flies

Decades of research have established that the Earth’s magnetic field (geomagnetic field, GMF) is broadly used as a sensory cue for magnetic orientation in various animal taxa, including insects. In contrast to the investigation of the total intensity or inclination of the GMF, the effect of declination on horizontal magnetic movement has been explored in a few species, including flies, cockroaches, and dogs. However, the potential role of declination in the vertical movement in magnetosensitive organisms is yet to be reported. In this study, we provide the first evidence that declination within a natural range of change can affect static geotaxis in fruit flies, as assessed using the tube‐positioning assay. In open‐field measurements conducted at 22 domestic and foreign locations, the variation in declination was notably dependent upon the specific location, regardless of altitude, with similar variation in total intensity. Flies subjected to a geographic range of declination under the same total intensity and inclination exhibited remarkably different geotactic positioning scores, irrespective of GMF polarity. Notably, we observed a significant negative correlation between the geotactic score and the absolute value of declination, indicating that declination can induce negative geotaxis effects in flies. These results reveal that flies have evolved to incorporate a declination compass into their multimodal sensorimotor system and suggest that declination may be complementary to gravity in terms of environmental factor‐driven negative geotaxis in flies.
Novel Substrate-Integrated Coaxial Line Phase Inverter and Magic-T

This letter presents a novel phase inverter (PI) design and its application in a magic-T based on substrate-integrated coaxial lines (SICLs). The novel SICL PI and its derivative magic-T are proposed for the first time. A transition between the feeding SMA and the SICL is also developed for measurement purposes. The proposed SICL PI is measured to have a fractional bandwidth (FBW) of 92.3% with its phase deviation (PD) less than 15°. The applied magic-T achieves a measured FBW of 67% under the amplitude and phase imbalances less than 1 dB and 15°, respectively. Experiments are conducted, and good agreements between the measured and simulated data are observed.
Study of 19-year Satellite Sea Surface Temperature Variability along the West Coast of India

The seasonal and interannual variation of upwelling along the west coast of India between 8°N and 24°N was studied for the period 1985 through 2003 using NOAA-AVHRR sea surface temperature data. The seasonal migration of pronounced upwelling, which follows the seasonal shift of the winds in southwest monsoon period and northeast monsoon, was confined. The temporal mean sea surface temperature images clearly show the upwelling season, as does the seasonal sea surface temperature anomaly. These dominate features of the upwelling system are also the most variable, with most of the variance being explained by the seasonal cycle. Quasi-cyclic behavior of seas surface temperature on interannual scales has also been observed.
Shallow-water facies setting around the Kačák Event: a multidisciplinary approach

Abstract In the Eifel area (western Rheinisches Schiefergebirge), a shallow- to deep-subtidal sequence of mixed carbonates and siltstones around the Kačák Event Interval close to the Eifelian–Givetian stage boundary was studied. An overall transgressive trend is inferred by the microfacies evolution. The stratigraphic variations of magnetic susceptibility in carbonates and in shale intervals show an overall decreasing evolution towards the top, which fits well with the transgressive trend. In addition, carbon and oxygen isotopes, and major, trace and rare earth element (REE) analysis have been used to get a better understanding of palaeoenvironmental variations in a shallow-water realm in the late Eifelian (kockelianus and ensensis conodont biozones): for example, the δ13C excursion and Ce anomaly are interpreted to be the local representation of the beginning of the Kačák Event Interval, which is also consistent with the stratigraphy and microfacies analyses.
Mending a broken heart by biomimetic 3D printed natural biomaterial-based cardiac patches: a review

Myocardial infarction is one of the major causes of mortality as well as morbidity around the world. Currently available treatment options face a number of drawbacks, hence cardiac tissue engineering, which aims to bioengineer functional cardiac tissue, for application in tissue repair, patient specific drug screening and disease modeling, is being explored as a viable alternative. To achieve this, an appropriate combination of cells, biomimetic scaffolds mimicking the structure and function of the native tissue, and signals, is necessary. Among scaffold fabrication techniques, three-dimensional printing, which is an additive manufacturing technique that enables to translate computer-aided designs into 3D objects, has emerged as a promising technique to develop cardiac patches with a highly defined architecture. As a further step toward the replication of complex tissues, such as cardiac tissue, more recently 3D bioprinting has emerged as a cutting-edge technology to print not only biomaterials, but also multiple cell types simultaneously. In terms of bioinks, biomaterials isolated from natural sources are advantageous, as they can provide exceptional biocompatibility and bioactivity, thus promoting desired cell responses. An ideal biomimetic cardiac patch should incorporate additional functional properties, which can be achieved by means of appropriate functionalization strategies. These are essential to replicate the native tissue, such as the release of biochemical signals, immunomodulatory properties, conductivity, enhanced vascularization and shape memory effects. The aim of the review is to present an overview of the current state of the art regarding the development of biomimetic 3D printed natural biomaterial-based cardiac patches, describing the 3D printing fabrication methods, the natural-biomaterial based bioinks, the functionalization strategies, as well as the in vitro and in vivo applications.
New Optimized Adaptive Time Series IDS Classifier Algorithm: Beyond Deep Learning

Adaptive time series Intrusion Detection System (IDS) Classifier is essential to detect real-time cyber-threats. Meanwhile, optimized hyperparameters on time series IDS classifier model will ensure swift detection. However, current studies on Time Series IDS classifier involve additional RNN-LSTM layers and multiple gates to optimize the training and feedback process. Notwithstanding, RNN-LSTM has powerful features to memorize data sequences. The nature of multiple complex hidden states in RNN-type model requires intensive training or epoch to achieve optimized loss function. This paper aims to go beyond conventional deep learning model by removing complex gated states and conventional hidden layers. The goal is to create an optimized adaptive time series classifier. The model leverages various fitting algorithms which include Sinusoidal, Linear, Power Function, Taylor Series and a new “Staircase” function that is introduced in this study. These functions adapt gradually to the real-time target distribution pattern. This will eliminate the need for feedback process to optimize hyperparameters. The model’s performance is evaluated against the realistic benchmarked IDS dataset; a dataset that simulates recent malware attacks and has imbalanced distribution property. This property reflects a realistic low cyber-attack footprint. After 10 epoch over randomized stratified testing samples, the Mean Absolute Error (MAE) rate achieved almost 0.0% after a fitting process reached 100% as compared with the conventional LSTM model that achieved 17%.
The Management of Coronary Artery Disease in TAVR Patients

About half of the transcatheter aortic valve replacement (TAVR) recipients exhibit some degree of coronary artery disease (CAD), and controversial results have been reported regarding the impact of the presence and severity of CAD on clinical outcomes post-TAVR. In addition to coronary angiography, promising data has been recently reported on the use of both cardiac computed tomography angiography and the functional invasive assessment of coronary lesions whether by FFR or iFR in the work-up pre-TAVR. Despite mitigated available data, percutaneous revascularization of significant coronary lesions has been the routine strategy in TAVR candidates with CAD. Additionally, scarce data exists on the incidence, characteristics and management of coronary events post-TAVR, and increasing interest exists on the potential coronary access challenges in patients requiring coronary angiography/intervention post-TAVR. This review provides an updated overview of the knowledge of CAD in TAVR recipients, focusing on its prevalence, clinical impact, pre- and post-procedural evaluation and management.
Exploring CD39 and CD73 Expression as Potential Biomarkers in Prostate Cancer

Prostate cancer (PC) is the most diagnosed tumor in males and ranks as the second leading cause of male mortality in the western world. The CD39 and CD73 enzymes play a crucial role in cancer regulation by degrading nucleotides and forming nucleosides. This study aimed to investigate the expression of the CD39 and CD73 enzymes as potential therapeutic targets for PC. The initial part of this study retrospectively analyzed tissue samples from 23 PC patients. Using the TissueFAXSTM cytometry platform, we found significantly higher levels of CD39—labeling its intensity compared to CD73. Additionally, we observed a correlation between the Gleason score and the intensity of CD39 expression. In the prospective arm, blood samples were collected from 25 patients at the time of diagnosis and after six months of treatment to determine the expression of CD39 and CD73 in the serum extracellular vesicles (EVs) and to analyze nucleotide hydrolysis. Notably, the expression of CD39 in the EVs was significantly increased compared to the CD73 and/or combined CD39/CD73 expression levels at initial collection. Furthermore, our results demonstrated positive correlations between ADP hydrolysis and the transurethral resection and Gleason score. Understanding the role of ectonucleotidases is crucial for identifying new biomarkers in PC.
XXX.—Actiniaria and Zoantharia of the Scottish National Antarctic Expedition, 1902–1904

The collection of Actiniaria and Zoantharia made by the Scottish National Antarctic Expedition contains nineteen species, one of which, Porponia antarctica Carlgren, I described as a new species in 1914. In all there were six species from the Antarctic, three from the Falkland Islands, six from the west coast of Cape Province, three from the Cape Verde Islands, and one, not specifically determined, from Gough Island. The new species here described are Epiactis vincentina, Epiactis brucei, Sicyonis antarctica, and Palythoa vincentina. I have not thought it necessary to compile a complete list of the literature and synonyms of the species, since in the papers cited full information is given.