Miracle-dz/UniFAR-FTUs huggingface dataset:
MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis

<italic>Time Series Analysis</italic> (<italic>TSA</italic>) is a critical workload to extract valuable information from collections of sequential data, e.g., detecting anomalies in electrocardiograms. Subsequence Dynamic Time Warping (sDTW) is the state-of-the-art algorithm for high-accuracy TSA. We find that the performance and energy efficiency of sDTW on conventional CPU and GPU platforms are heavily burdened by the latency and energy overheads of data movement between the compute and the memory units. sDTW exhibits low arithmetic intensity and low data reuse on conventional platforms, stemming from poor amortization of the data movement overheads. To improve the performance and energy efficiency of the sDTW algorithm, we propose MATSA, the first <underline>M</underline>agnetoresistive RAM (MRAM)-based <underline>A</underline>ccelerator for <underline>TSA</underline>. MATSA leverages Processing-Using-Memory (PUM) based on MRAM crossbars to minimize data movement overheads and exploit parallelism in sDTW. MATSA improves performance by <inline-formula> <tex-math notation="LaTeX">$7.35\times /6.15\times /6.31\times $ </tex-math></inline-formula> and energy efficiency by <inline-formula> <tex-math notation="LaTeX">$11.29\times /4.21\times /2.65\times $ </tex-math></inline-formula> over server-class CPU, GPU, and Processing-Near-Memory platforms, respectively.
Trans- and Cis-Phosphorylated Tau Protein: New Pieces of the Puzzle in the Development of Neurofibrillary Tangles in Post-Ischemic Brain Neurodegeneration of the Alzheimer’s Disease-like Type

Recent evidence indicates that experimental brain ischemia leads to dementia with an Alzheimer’s disease-like type phenotype and genotype. Based on the above evidence, it was hypothesized that brain ischemia may contribute to the development of Alzheimer’s disease. Brain ischemia and Alzheimer’s disease are two diseases characterized by similar changes in the hippocampus that are closely related to memory impairment. Following brain ischemia in animals and humans, the presence of amyloid plaques in the extracellular space and intracellular neurofibrillary tangles was revealed. The phenomenon of tau protein hyperphosphorylation is a similar pathological feature of both post-ischemic brain injury and Alzheimer’s disease. In Alzheimer’s disease, the phosphorylated Thr231 motif in tau protein has two distinct trans and cis conformations and is the primary site of tau protein phosphorylation in the pre-entanglement cascade and acts as an early precursor of tau protein neuropathology in the form of neurofibrillary tangles. Based on the latest publication, we present a similar mechanism of the formation of neurofibrillary tangles after brain ischemia as in Alzheimer’s disease, established on trans- and cis-phosphorylation of tau protein, which ultimately influences the development of tauopathy.
Impact of pore network parameters on hygric properties of porous materials

Hygric pore network modeling is a novel method to obtain the hygric properties of building materials. In order to study, verify and compare pore networks of these materials, a wide spectrum of parameters (both geometrical and topological) exists. This paper aims at a detailed examination of these parameters, with particular attention to their impact on moisture retention and moisture permeability. Pore networks of three porous materials are extracted, pre-processed, and lastly manually modified to change the target parameters. The modified pore networks are then used for the simulation of hygric properties. The results illustrate that moisture retention is most affected by both the radius and volume distribution of the pore elements. While for moisture permeability, the coordination number is the most crucial parameter.
Prediction method of Coincident design day based on SCP model and XGBoost algorithm

Coincident design day (CDD), which considers the coincidence among the three meteorological parameters, is proposed for providing accurate load calculated conditions. Nevertheless, there exists an enormous quantity of room characteristic combinations. Each room sample may hold several coincident design days. It is essential to predict suitable CDD for different room characteristic combinations. In this study, under the condition of finite room samples, the problem of coincident design day selection is transformed into set covering problem (SCP) first. The Max-Min Ant System algorithm (MMAS) is used in SCP to get a set that has a minimum number of design days. Then based on this set, each room sample can hold a label to represent the adaptability of each selected design day. After the data labeling job, a CDD prediction method based on XGBoost is proposed to match the CDD of all the room samples. The result for Hong Kong shows that, in 90% cases, there differs 1% relative deviation between cooling load obtained by predicted CDD and design cooling load at each orientation.
Frequency prediction of a post-disturbance power system using a hybrid ARIMA and DBN model

The online prediction of power system dynamic frequency helps to guide the choice of control measures quickly and accurately after a disturbance, and this then ensures the reliable and stable operations of a power system. However, the prediction performance of the traditional single model is not accurate enough, and the prediction method cannot reflect the dynamic mechanism of the power system. To address these challenges, based on the analysis of the mechanism of the dynamic operation of a power system, a dynamic frequency online prediction method using the autoregressive integrated moving average (ARIMA) model and the deep belief network (DBN) is proposed in this paper. First, according to the mechanism of the dynamic operation of a power system, the dynamic frequency can be regarded as having two stages after the disturbance occurs. In the first stage, the frequency changes monotonously in the short term, which is predicted by the ARIMA model. Furthermore, the second stage is an oscillation phase with changing amplitude, which is predicted by the DBN. The calibration process is used to combine the two predicted results. Second, the three metrics including the frequency nadir (fnadir), the quasi-steady state frequency (fss), and the frequency curve obtained through the prediction are analyzed to measure the accuracy of the prediction results. Finally, to verify the accuracy of the proposed model, the IEEE 10-generator 39-bus benchmark system is used for verification.
Circadian Syndrome Is Associated with Dietary Patterns among Middle-Older Americans: The Health and Retirement Study

Population aging is a global demographic characteristic of the 21st century, and healthy eating is a core component of healthy aging. However, limited evidence is available among older adults for associations between diet quality and circadian syndrome (CircS). Thus, this study examined associations between dietary patterns and CircS among a representative sample of middle-older adults in the US. The sample comprised middle-older adults enrolled in the 2016 core wave of the Health and Retirement Study (HRS) and one of its sub-studies, the 2013 Health Care and Nutrition Study (HCNS). A food frequency questionnaire was used to quantify habitual food intake and identify dietary patterns using a factor analysis. CircS was defined based on the existence of ≥4 components of metabolic syndrome and indicators of sleep disorders and depression. A total of 4253 middle-older adults with a mean age (SD) of 65.4 (10.0) years were included in the study. The prevalence of CircS was 35.9%. Comparing extreme quartiles of the “Prudent Pattern”, the odds ratio (95% CI) for CircS was 0.72 (0.55–0.94), and it was 1.47 (1.10–1.95) for the “Western Pattern”. The “Western Pattern” was positively associated while the “Prudent Pattern” was inversely associated with the odds of CircS among middle-older adults.
The Role of Frozen Soil in Groundwater Discharge Predictions for Warming Alpine Watersheds

Climate warming may alter the quantity and timing of groundwater discharge to streams in high alpine watersheds due to changes in the timing of the duration of seasonal freezing in the subsurface and snowmelt recharge. It is imperative to understand the effects of seasonal freezing and recharge on groundwater discharge to streams in warming alpine watersheds as streamflow originating from these watersheds is a critical water resource for downstream users. This study evaluates how climate warming may alter groundwater discharge due to changes in seasonally frozen ground and snowmelt using a 2‐D coupled flow and heat transport model with freeze and thaw capabilities for variably saturated media. The model is applied to a representative snowmelt‐dominated watershed in the Rocky Mountains of central Colorado, USA, with snowmelt time series reconstructed from a 12 year data set of hydrometeorological records and satellite‐derived snow covered area. Model analyses indicate that the duration of seasonal freezing in the subsurface controls groundwater discharge to streams, while snowmelt timing controls groundwater discharge to hillslope faces. Climate warming causes changes to subsurface ice content and duration, rerouting groundwater flow paths but not altering the total magnitude of future groundwater discharge outside of the bounds of hydrologic parameter uncertainties. These findings suggest that frozen soil routines play an important role for predicting the future location of groundwater discharge in watersheds underlain by seasonally frozen ground.
Sustainable production of cabbage using different irrigation levels and fertilizer types affecting some soil chemical characteristics

A field experiment was carried out during the two successive autumn seasons of 2013 and 2014 under open field conditions in protected cultivation site, Agriculture Research Centre , Giza governorate, Egypt. The study was investigating the effects of different irrigation levels (50, 75 and 100% of crop evapotranspiration (ETc)) and different sources of fertilizers (inorganic fertilizers (control), cattle manure, compost and vermicomp ost) on some soil chemical characteristics and vegetative growth, yield and water use efficiency of head cabbage. Obtained results showed that soil pH decreased at the end of experiment with a range of 0.08 - 0.30, compared with before cultivation, with high decreases by 50% of ETc combined with vermicompost. EC e , on the other hand, increased due to different agricultural activities such as adding chemicals and fertilizers, with
Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation

Evaluation plays a vital role in recommender systems—in research and practice—whether for confirming algorithmic concepts or assessing the operational validity of designs and applications. It may span the evaluation of early ideas and approaches up to elaborate implementations of systems integrated into everyday product settings; it may target a wide spectrum of different factors being evaluated. In this special issue, we explore recommender systems evaluation—theory and practice—while considering a diverse set of perspectives. These include recommender systems purposes, stakeholders, methodological approaches, and consequences. The collection of articles in this special issue offers insightful analyses of current recommender system evaluation practices, acknowledging their limitations, and setting out future research directions. As recommender systems evolve, the need for adequate evaluation methods and approaches increases. This special issue sheds light on areas undergoing development or requiring added attention from the research and practitioner communities in recommender systems. The compilation serves as a call to the recommender systems research community, motivating continued research and exploration of evaluation metrics, methods, and strategies.
The Study of "Healthy Alley" and Home Care Program Policies to Develop Sustainable Health Innovation in Makassar, Indonesia

This study describes the implementation of public service innovations (“Healthy Alley” and home care) in Makassar to disclose facts about the factors supporting innovations so that they can be sustainable in the future. Data were collected through a structured interview process with 14 informants and through observation by researchers. Secondary data were collected from national journal articles and annual report documents from the Department of Health, Makassar Regional Development, and Research Agency. Validity and reliability were addressed by triangulating data sources. Out of five innovation attributes, the “Healthy Alley” and home care innovations only met four standards. The research findings revealed that the home care innovation program has been well implemented compared to the "Healthy Alley" innovation program. This condition was due to the two different innovation programs in the handling system. The sustainability of public service innovation can be realized by taking into account several supporting indicators: 1. Commitment of Implementor; 2. User Participation; 3. Supported; 4. Network. Also, it is known that a public service innovation program with a good handling system will succeed in improving the quality of public service policies that affect innovation, but the budget will make things easier.
Effects of the catastrophic 2020 Yangtze River seasonal floods on microcystins and environmental conditions in Three Gorges Reservoir Area, China

Introduction During July and August 2020, Three Gorges Reservoir Area (TGRA) suffered from catastrophic seasonal floods. Floods changed environmental conditions and caused increase in concentration of microcystins (MCs) which is a common and potent cyanotoxin. However, the effects and seasonal variations of MCs, cyanobacteria, and environmental conditions in TGRA after the 2020 Yangtze River extreme seasonal floods remain largely unclear, and relevant studies are lacking in the literature. Methods A total of 12 representative sampling sites were selected to perform concentration measurement of relevant water quality objectives and MCs in the representative area of the TGRA. The sampling period was from July 2020 to October 2021, which included the flood period. Organic membrane filters were used to perform the DNA extraction and analyses of the 16S rRNA microbiome sequencing data. Results Results showed the seasonal floods result in significant increases in the mean values of microcystin-RR (MCRR), microcystin-YR (MCYR), and microcystin-LR (MCLR) concentration and some water quality objectives (i.e., turbidity) in the hinterland of TGRA compared with that in non-flood periods (p < 0.05). The mean values of some water quality objectives (i.e., total nitrogen (TN), total phosphorus (TP), total dissolved phosphorus (TDP), and turbidity), MC concentration (i.e., MCRR, MCYR, and MCLR), and cyanobacteria abundance (i.e., Cyanobium_PCC-6307 and Planktothrix_NIVA-CYA_15) displayed clear tendency of increasing in summer and autumn and decreasing in winter and spring in the hinterland of TGRA. Discussions The results suggest that seasonal floods lead to changes in MC concentration and environmental conditions in the hinterland of TGRA. Moreover, the increase in temperature leads to changes in water quality objectives, which may cause water eutrophication. In turn, water eutrophication results in the increase in cyanobacteria abundance and MC concentration. In particular, the increased MC concentration may further contribute to adverse effects on human health.
A 0.14-nJ/b 200-Mb/s 2.7–3.5-GHz Quasi-Balanced FSK Transceiver With PLL-Based Modulation and Sideband Energy Detection

This paper describes a balanced frequency shift keying (FSK) modulation, namely quasi-balanced FSK (QB-FSK), for energy-efficient high-data-rate communication. Not suffering from data-pattern dependency, the proposed modulation method enables frequency modulation (FM) over 100 Mb/s by utilizing a wideband phase-locked loop (PLL). The QB-FSK signal is generated with the same baseband clock frequency as the non-return zero (NRZ)-coded binary FSK (BFSK) signal, resulting in improved bandwidth efficiency compared to other balanced FSK signals. For demodulation, the receiver employs a sideband energy detection (SB-ED) method. A FM discriminator converts the QB-FSK signal to an on-off keying (OOK) signal. After that, a band-pass filter (BPF) is used to filter out 1/f noise and dc offset. Based on the proposed QB-FSK modulation and the SB-ED method, a prototype FSK transceiver is implemented in 65-nm CMOS for high-data-rate sub-6-GHz proprietary wireless connectivity. The receiver successfully demodulates data at a rate of 200 Mb/s with a sensitivity of –67 dBm, while the transmitter can achieve a maximum data rate of 400 Mb/s. The 200-Mb/s transceiver achieves an energy efficiency of 0.14 nJ/b.
The Impact of Diet on miRNA Regulation and Its Implications for Health: A Systematic Review

The evidence suggests that diet can modulate endogenous microRNA (miRNA) expression. Changes in miRNA expression may affect metabolic processes and consequently be involved in health status and disease development. The aim of this systematic review was to summarize the evidence of the role of diet and specific food components in the regulation of miRNA expression and discuss its implications for human health and disease development. The PubMed, Embase and Web of Science databases were searched in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for relevant studies. A total of 32 interventional and 5 observational studies performed in adults and evaluating dietary modulation of miRNA expression were included. Energy- and fat-controlled diets along with plant-based foods show substantial evidence of modulating endogenous miRNA levels. Plasma, serum and peripheral blood mononuclear cells (PBMCs) are the main sources used to measure miRNAs. A total of 108 miRNAs modulated by diet were identified. We confirmed that dietary habits are closely associated with the modulation of endogenous miRNAs. Particularly, energy content and fat intake appeared to be key factors influencing miRNA levels. Furthermore, since miRNAs are involved in the regulation of several biological processes, this modulatory process may affect health status and lead to metabolic disorders.
Adsorption behavior of poly(ethylene oxide) on kaolinite: Experimental and molecular simulation study

Poly(ethylene oxide) (PEO) adsorption behavior on kaolinite surfaces in an aqueous solution was investigated through experiments, the density functional theory (DFT), and molecular dynamics (MD) simulations. The experimental results showed that as the PEO concentration increased, the adsorption capacity first increased then slightly decreased and the turbidity change was opposite. The adsorption isotherm on the kaolinite surface was more suitable for the Langmuir model and valid for single-layer adsorption. The results of simulations showed that the PEO chains extended along the two basal surfaces of kaolinite or were partly adsorbed, forming loops and tails that caused most of the particles to flocculate, contributing to the turbidity lowering. When the number of PEO chains was excessive, their self- and inter-aggregation occured with some PEO far from the surface, and the turbidity increased. On the kaolinite (001) surface, the hydrogen bonds between the PEO ether O and the hydroxyl groups constituted the main interaction mechanism. However, the hydrophobic force of the (CH2–CH2)–moiety of PEO might have dominated its adsorption on the (001 ̅) surface. The hydrogen bonds were stronger than the hydrophobic interactions.
Stable isotope geothermometry applied to selected vein type ore deposits of the Eastern Alps

Quartz and various carbonate minerals often form gangue minerals within hydrothermal ore deposits. This thesis deals with the applicability of carbonate-quartz gangue as geo­ thermometer, The results are comparable with „classical” geothermometers like microthermometrv and cation exchange geothermometers. The temperature range is crosschecked with results of arsenopvrite and solid solution geothermometrv. The applicability of stable isotope geothermometrv is limited by the grade of isotopic equilibrium between quartz and carbonate and possible younger alteration by migrating fluids. Vein deposits with great vertical extent within the Austroalpine and Sub-Penninic parts of the Eastern Alps were the objects of study. The individual deposits of Erzwies-Siglitz (Pb-Zn), Mitterberg-Buchberg (Cu), Radmer (Cu), Zinkwand (Ni-Co-Bi), Tosens (PbZn) and Kraubath (magnesite) are discussed in detail. The reconstruction of the mineralising fluids results in similar mineralising processes during during Eo-Alpine and Neogene times. The main motor of metallogenesis within the worked deposits are metamorphic waters driven by orogenic induced fluid flow. The formation of the Erzwies-Siglitz, Mitterberg-Buchberg, Radmer, Tosens and Zinkwand deposits is related to such metamorphogenous fluids. Although formation ages, miner­ alogy and host rocks are different the mineralising fluids are dominated by fluids enriched in d18O (7 bis 18 %c VSMOW) and depleted in J13C (-6 bis -14 %o VPDB), Metasediments and metacarbonates represent the main source rocks for this kind of metamorphogenic fluids. The investigated metamorphogenous deposits are the product of a multiphase genesis. Primary fine dispersed metals or transition metals or enrichments thereof were mobilised by metamorphogenous fluids during Variscan and Alpine orogenesis. The declining oro­ genesis with subsequent extensional tectonics lead to the formation of vein type deposits. Another important mineralisation process is represented by the formation of magnesite close to the palaeosurface. The cryptocrystalline magnesite deposit of Kraubath is bound to shallow extensional tectonic structures in form of veins. Subsidiary sedimentary mag­ nesite occurs within hangingwall Miocene sediments. In this case, the mineralising low tempered hydrothermal fluid system is strongly influenced by meteoric waters. Suggestions for the application of quartz-carbonate mineral pairs as geothermometer and for the reconstruction of mineralising fluid systems at a regional scale conclude this work.
The Social Stereotype of Children With Physical Disability

Children with physical disability often face stereotypes and stigmatization that affect society's perception of their abilities and potential. The aim of this research is to investigate the stereotypes experienced by children with physically handicapped, find out where the source of these stereotypes comes from, how they impact children, and what efforts have been made to reduce these stereotypes. This article uses a literature review method to explore the dimensions of these stereotypes, including their sources, their impact, and efforts to reduce them. The results show that stereotypes stem from assumptions about physical and intellectual disabilities, which are reflected in the media, personal experiences, and a general lack of understanding. These stereotypes can negatively impact children's psychological, emotional, and social well-being, and limit their participation in social activities. Efforts to reduce stereotypes through community education, family support, and inclusive approaches in schools are needed to create a more inclusive and supportive environment for children with motor disabilities. In conclusion, raising public awareness and ensuring the adaptation of individuals with disabilities in social life are key steps to prevent stigmatization.