Miracle-dz/UniFAR-FTUs huggingface dataset:
Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model

In the real-life, time-series data comprise a complicated pattern, hence it may be challenging to increase prediction accuracy rates by using machine learning and conventional statistical methods as single learners. This research outlines and investigates the Stacking Multi-Learning Ensemble (SMLE) model for time series prediction problem over various horizons with a focus on the forecasts accuracy, directions hit-rate, and the average growth rate of total oil demand. This investigation presents a flexible ensemble framework in light of blend heterogeneous models for demonstrating and forecasting nonlinear time series. The proposed SMLE model combines support vector regression (SVR), backpropagation neural network (BPNN), and linear regression (LR) learners, the ensemble architecture consists of four phases: generation, pruning, integration, and ensemble prediction task. We have conducted an empirical study to evaluate and compare the performance of SMLE using Global Oil Consumption (GOC). Thus, the assessment of the proposed model was conducted at single and multistep horizon prediction using unique benchmark techniques. The final results reveal that the proposed SMLE model outperforms all the other benchmark methods listed in this study at various levels such as error rate, similarity, and directional accuracy by 0.74%, 0.020%, and 91.24%, respectively. Therefore, this study demonstrates that the ensemble model is an extremely encouraging methodology for complex time series forecasting.
Hepatic scavenger receptor BI protects against polymicrobial-induced sepsis through promoting LPS clearance in mice

Background: We utilized Scarb1 I179N mice, a model deficient in hepatic SR-BI, to determine the role of hepatic SR-BI in sepsis. Results: Upon cecal ligation and puncture (CLP), Scarb1 I179N mice had a 3.5-fold increase in fatality associated with an impaired LPS clearance. Conclusion: Hepatic SR-BI protects against sepsis through promoting LPS clearance. Significance: Promoting hepatic SR-BI-mediated LPS clearance may provide a therapeutic approach for sepsis.
Management of Tennis elbow in racket sports – a literature review

Background: Pain from the lateral aspect of the elbow is a common symptom in racket sports, both in recreational and competitive players. In Tennis elbow (TE), the pain is elicited from the lateral epicondyle and the common extensor origin just distal of the epicondyle. The symptoms are aggravated by gripping activity and might be related to activity level, in work as well as in recreational or elite racket sports. TE is considered to be an overuse injury of degenerative nature and the diagnose is easily made, based on a typical history and clinical findings. Objective: To present current knowledge concerning management of TE in racket sports by a review of the literature. Methods: Narrative literature review. Results: An overview of TE in racket sports with highlight on the clinical features, alternative diagnoses and suggested treatments in the literature. Since TE is considered to be an overuse injury, the paper also provides advises for training plan besides management until resolution of symptoms. Conclusions: This painful condition is self-limiting with a good prognosis. No treatment has convincingly evidence, besides methods for reducing pain symptoms. When the pain symptoms are under control, it is important that the return to racket sports is gradual.
Counterselection against D (cid:109) Is Mediated through Immunoglobulin (Ig) (cid:97) -Ig (cid:98)

The pre-B cell receptor is a key checkpoint regulator in developing B cells. Early events that are controlled by the pre-B cell receptor include positive selection for cells express membrane immunoglobulin heavy chains and negative selection against cells expressing truncated immu-noglobulins that lack a complete variable region (D (cid:109) ). Positive selection is known to be mediated by membrane immunoglobulin heavy chains through Ig (cid:97) -Ig (cid:98) , whereas the mechanism for counterselection against D (cid:109) has not been determined. We have examined the role of the Ig (cid:97) -Ig (cid:98) signal transducers in counterselection against D (cid:109) using mice that lack Ig (cid:98) . We found that D (cid:109) expression is not selected against in developing B cells in Ig (cid:98) mutant mice. Thus, the molecular mechanism for counterselection against D (cid:109) in pre-B cells resembles positive selection in that it requires interaction between mD (cid:109) and Ig (cid:97) -Ig (cid:98) .
Reconciling phonological generalizations in syllable-final position: A study of obstruent neutralization in Korean* 1

Lee, Reconciling phonological generalizations in syllable-final position: A study of obstruent neutralization in Korean. Linguistic Research 39(1): 1-23. This article aims to show how a Harmonic Serialism conception of optimality-theoretic phonology reconciles some of the generalizations in treating syllable-final obstruent neutralization in Korean. We shed some light on the derivational property of obstruent neutralization phenomenon in general, and also provide insights into the workings of the serial derivation in question. Previous treatments of obstruent neutralization in Korean assumes the crucial role of language-specific rule ordering or simultaneous delinking of multiple features. With the introduction of Harmonic Serialism, our intuition about neutralization as a weakening process is maintained, with the added benefit of avoiding simultaneous operations of delinking multiple features. Each step of derivation is shown to be harmonically improving and the whole range of relevant data can be nicely explained. It thus breathes a new life into Iverson and Kim's (1987) original insight into the obstruent neutralization itself. ( Sookmyung Women's University )
Uncertainty Volatility, Investment, And Cash Holding In ASEAN Countries

: This study aims to show the effect of uncertainty on firms’ corporate investment and cash holding in five ASEAN countries, namely Malaysia, Indonesia, Singapore, Thailand, and Vietnam. The study was conducted using data from non-financial public listed firms in these five ASEAN countries during the 2006 to 2020 period. The uncertainty volatility is measured using the standard deviation of the economic policy uncertainty index. The results of this study find that uncertainty volatility increases corporate investment and decreases corporate cash holding. This result indicates that high uncertainty economic condition cause firms to invest to reduce information asymmetry by giving signals to external investors through investment, and as result, it reduces the corporate cash holdings. Moreover, we also find that uncertainty volatility is more economically significant than Economic Policy Uncertainty itself. It is possible that uncertainty volatility can better capture the real uncertain condition in the economy.
Demographic responses to climate‐driven variation in habitat quality across the annual cycle of a migratory bird species

Abstract The demography and dynamics of migratory bird populations depend on patterns of movement and habitat quality across the annual cycle. We leveraged archival GPS‐tagging data, climate data, remote‐sensed vegetation data, and bird‐banding data to better understand the dynamics of black‐headed grosbeak (Pheucticus melanocephalus) populations in two breeding regions, the coast and Central Valley of California (Coastal California) and the Sierra Nevada mountain range (Sierra Nevada), over 28 years (1992–2019). Drought conditions across the annual cycle and rainfall timing on the molting grounds influenced seasonal habitat characteristics, including vegetation greenness and phenology (maturity dates). We developed a novel integrated population model with population state informed by adult capture data, recruitment rates informed by age‐specific capture data and climate covariates, and survival rates informed by adult capture–mark–recapture data and climate covariates. Population size was relatively variable among years for Coastal California, where numbers of recruits and survivors were positively correlated, and years of population increase were largely driven by recruitment. In the Sierra Nevada, population size was more consistent and showed stronger evidence of population regulation (numbers of recruits and survivors negatively correlated). Neither region showed evidence of long‐term population trend. We found only weak support for most climate–demographic rate relationships. However, recruitment rates for the Coastal California region were higher when rainfall was relatively early on the molting grounds and when wintering grounds were relatively cool and wet. We suggest that our approach of integrating movement, climate, and demographic data within a novel modeling framework can provide a useful method for better understanding the dynamics of broadly distributed migratory species.
Curve Trees: Practical and Transparent Zero-Knowledge Accumulators

In this work we improve upon the state of the art for practical zero-knowledge for set membership , a building block at the core of several privacy-aware applications, such as anonymous payments, credentials and whitelists. This primitive allows a user to show knowledge of an element in a large set without leaking the specific element. One of the obstacles to its deployment is efficiency. Concretely efficient solutions exist, e.g., those deployed in Zcash Sapling, but they often work at the price of a strong trust assumption: an underlying setup that must be generated by a trusted third party. To find alternative approaches we focus on a common building block: accumulators, a cryptographic data structure which compresses the underlying set. We propose novel, more efficient and fully transparent constructions (i.e., without a trusted setup) for accumulators supporting zero-knowledge proofs for set membership. Technically, we introduce new approaches inspired by “commit-and-prove” techniques to combine shallow Merkle trees and 2-cycles of elliptic curves into a highly practical construction. Our basic accumulator construction—dubbed Curve Trees —is completely transparent (does not require a trusted setup) and is based on simple and widely used assumptions (DLOG and Random Oracle Model). Ours is the first fully transparent construction that obtains concretely small proof/commitment sizes for large sets and a proving time one order of magnitude smaller than proofs over Merkle Trees with Pedersen hash. For a concrete instantiation targeting 128 bits of security we obtain: a commitment to a set of any size is 256 bits; for | S | = 2 40 a zero-knowledge membership proof is 2.9KB, its proving takes 2s and its verification 40ms on an ordinary laptop. Using our construction as a building block we can design a simple and concretely efficient anonymous cryptocurrency with full anonymity set, which we dub V cash. Its transactions can be
Substrate-integrated waveguide cross-coupled filters with mixed electric and magnetic coupling structure

Abstract This paper presents a substrate-integrated waveguide (SIW) mixed electric and magnetic coupling structure implemented on a single-layer substrate to create finite transmission zeros (TZs), which can be used to design microwave filters with higher frequency selectivity. Mixed coupling is realized by three slot-lines on the top metal plane combined with an iris-window between two adjacent SIW cavities. The electric and magnetic coupling can be separately controlled by adjusting the dimensions of the slot-lines and the width of the iris-window, and a controllable TZ below or above the passband can be produced. Furthermore, a detailed analysis of the mixed coupling structure is presented. To demonstrate the validity of the proposed structure, third- and fourth-order cross-coupled generalized Chebyshev bandpass filters are designed and fabricated using the standard printed circuit board process. The experimental results are in good agreement with the simulation results. The filters exhibit simple structure and good frequency selectivity.
flight MR angiography Anatomy , Pathogenesis , Diagnosis , and Treatment in Brain Disease 345 ULTRAHIGH-FIELD MR IMAGING : WHAT IS IT ALL ABOUT ?

Main advantages of ultrahigh-field magnetic resonance (MR) imaging of the brain: Higher signal-to-noise ratio (SNR) Higher contrast-to-noise ratio (CNR) These features provide higher lesion conspicuousness, spatial resolution, or faster imaging. Insight into normal anatomy, pathogenesis, diagnosis, and treatment can be gained for various disease categories. Considerations for choosing sequences for clinical application: Pursue highest spatial resolution possible Make use of new contrast
Comparative Analysis of Distinctive Features of the Ransomware Tactics in Relation to Other Malware

Ransomware have become a real threat to the use of technology. Unlike other forms of malware that could target systems by deleting or editing some files and creating backdoor for the attacker to access the system, ransomware have gone a notch higher by targeting humans. This is achieved when a ransomware encrypts data of the infected computer and a note demanding for a ransom to be paid is printed on the screen. Due to the advancement in technology, ransomware use advanced and secure encryption algorithm that is difficult to decrypt even when the computational power is not limited. In this work, we present some of the major behavioral characteristics that we found to be common with ransomware and not with other malware. Our results show that a careful analysis of suspicious network and file activities can help detect a ransomware attack. Further, careful analysis of ransomware behavior can help develop a system that can detect an impeding ransomware attack and thereby eliminate it.
Resilience, People and Information, a Triangle to Build Sustainability

Digital revolutions and developments have been changing the way we work, socialize and experience the world. In our complex reality dynamic changes occur with an increasing frequency, where the role of IT is obvious. The COVID pandemic highlighted this development even more and made us realize that the old ways of working are no longer valid. In this conceptual paper we sketch different scientific views to offer practical solutions to deal with challenges. We focus on dynamic developments on concepts from ecology and economics, identify some traps and link the insights to management, leadership, teams and the requirements for a successful cooperation. Our goal is to identify the most crucial elements of sustainability: resilience, people and information, offer organizations developing solutions using the Adaptive Cycle of Resilience and help the reader to develop understanding social responsibility towards resilience and sustainability. © Proceedings of the 2021 AIS SIGED International Conference on Information Systems Education and Research.
BVI Observations of the Eclipsing Binary XZ Andromedae at the EKU Observatory

The eclipsing binary XZ Andromedae has been the subject of many observing campaigns, due to variability of its orbital period and the interesting mechanisms causing the change. We therefore observed this star during the period October–November 2021. We determined the current orbital period (P = 1.357308 (18) d), and using transformed standard BVI magnitudes, constructed a model of the eclipsing binary using the PHOEBE (Physics of Eclipsing Binaries) and B inary M aker 3 software packages to compare with results from previous studies. The model that best fit the data suggests that XZ And is a semidetached system with the secondary filling the Roche Lobe. The parameters fit of the primary (T 1 = 9393 K, mass M 1 = 2.1 solar masses, and radius R 1 = 2.2 solar radii) are indicative of a A1V main sequence star, while the secondary’s parameters (T 2 = 5334, M 2 = 1.02, and R 2 = 2.40) point to a star in a more advanced evolutionary status.
Identifying Linked and Convergent Argument Structures A Problem Unsolved Identification des structures d’arguments liées et convergentes Un problème non résolu

Article abstract To analyze the argument structure, the linked vs convergent distinction is crucial. In applying this distinction, argumentation scholars test for variations of argument strength under premise revision. A relevance-based test assesses whether an argument’s premises are individually relevant to its conclusion, while a support-based test assesses whether premises support the conclusion independently. Both criteria presuppose that evaluating an argument’s strength is methodologically prior to identifying its structure. Yet, if ‘argument structure’ is a concept of analysis, then a structural analysis would precede evaluating an argument’s strength. We problematize that state-of-the-art Abstract: To analyze the argument structure, the linked vs convergent distinction is crucial. In applying this distinction, argumentation scholars test for variations of argument strength under premise revision. A relevance-based test assesses whether an argument’s premises are individually relevant to its conclusion, while a support-based test assesses whether premises support the conclusion independently. Both criteria presuppose that evaluating an argument’s strength is methodologically prior to identifying its structure. Yet, if ‘argument structure’ is a concept of analysis, then a structural analysis would precede evaluating an argument’s strength. We problematize that state-of-the-art methods to identify structures fail, because they rely on evaluative judgments, and so “put the cart before the horse. ” normes qui dirigent construction et l’évaluation de l’argumentation dé-pendent du but de notre engagement dans cette pratique. Un domaine d'argu-mentation spécifiquement épistémique est distingué, et je soutiens, sur la base de découvertes récentes en épistémologie modale, que ce domaine est dirigé par la norme modale de sécurité, selon laquelle une croyance est sûre juste au cas où elle serait produite par une méthode qui ne produirait pas facilement une fausse croyance. Bien que ce critère soit bien connu et non controversé en épistémologie, il n'a jusqu'à présent pas été appliqué aux théories épistémiques de l'argumen-tation. Je montre la fécondité d'introduire cette norme modale dans notre théorie de l'argumentation en soutenant que cela permet une perspective nouvelle et supérieure sur la pertinence de l'interlo-cuteur persistant dans la théorie de l'argumentation, et plus généralement sur la relation entre les normes dialectiques et épistémiques.
MozZ2karella: Efficient Vector-OLE and Zero-Knowledge Proofs Over Z2k

Zero-knowledge proof systems are usually designed to support computations for circuits over F2 or Fp for large p, but not for computations over Z2k , which all modern CPUs operate on. Although Z2k -arithmetic can be emulated using prime moduli, this comes with an unavoidable overhead. Recently, Baum et al. (CCS 2021) suggested a candidate construction for a designated-verifier zero-knowledge proof system that natively runs over Z2k . Unfortunately, their construction requires preprocessed random vector oblivious linear evaluation (VOLE) to be instantiated over Z2k . Currently, it is not known how to efficiently generate such random VOLE in large quantities. In this work, we present a maliciously secure, VOLE extension protocol that can turn a short seed-VOLE over Z2k into a much longer, pseudorandom VOLE over the same ring. Our construction borrows ideas from recent protocols over finite fields, which we non-trivially adapt to work over Z2k . Moreover, we show that the approach taken by the QuickSilver zero-knowledge proof system (Yang et al. CCS 2021) can be generalized to support computations over Z2k . This new VOLE-based proof system, which we call QuarkSilver, yields better efficiency than the previous zero-knowledge protocols suggested by Baum et al. Furthermore, we implement both our VOLE extension and our zero-knowledge proof system, and show that they can generate 13–50 million VOLEs per second for 64 bit to 256 bit rings, and evaluate 1.3 million 64 bit multiplications per second in zero-knowledge.
Identification of Bacterial Contamination in Fuel Ethanol Fermentation in Southeastern Mexico

Ethanol factories are susceptible to bacterial contamination, which decreases their productivity. The main studies about bacterial contamination are realized on distilleries that use corn or beet as raw material, but not molasses of cane sugar as raw. Acetobacter and lactic acid bacteria are the main bacterial contaminant in distilleries that use corn as raw. In this study, the contaminant bacteria in an ethanol factory which use molasses of cane sugar as raw were identified. Seven strains were isolated and belong to the genera Acetobacter , Enterocccus , Klebsiella and Cronobacter . All strains were able to metabolize glucose, mannitol, rhamnose, sucrose, melibiose and arabinose and were resistant to penicillin, but susceptible to enoxacin and netilmicin. This research identifies microorganisms that could be found in distilleries that use molasses as raw in tropical countries.
Implementing enabled A case

In the context of implementing collaborative innovation, a range of digitally enabled infrastructures impact core organizational activities. Automotive manufacturing is one such industry where competitors now openly collaborate, facilitated through new technologies, in an effort to enhance collective innovation systems. We conducted a longitudinal case study of the first open innovation network in the German automotive industry to determine how online and offline channels interact to fuel firms' joint search for external ideas. Delving into the physical, virtual and cognitive enablers of collaborative innovation, our findings suggest that, while online platforms can help to facilitate knowledge sharing processes that promote collaborative innovation, firms implementing digitally enabled collaborative ideation need to develop additional mechanisms based on stronger offline interactions. As such, our findings contribute to a better understanding of how online technologies can facilitate knowledge sharing processes to enhance collaborative innovation.
Enhancement of Bandwidth Using U-Slot Micro-strip Patch Antenna Operating at TM02 Mode

A wide band dual-beam micro strip antenna is proposed in this communication. Two radiation beams off broadside are obtained by Operating the patch antenna at the higher order mode instead of the Fundamental mode, this radiates a broadside beam. Broadening the antenna bandwidth is achieved by using the U-slot technique. Unlike previous work on the conventional U-slot micro-strip antenna, the effect of the U-slot inclusion on the performance of a patch antenna operating at the mode is studied across the entire achieved bandwidth. The antenna analysis is carried out with the aid of full wave simulation, and an antenna prototype is fabricated and measured for validation. Good agreements between the simulated and measured results are observed. The antenna operating frequency range is 5.18–5.8 GHz with VSWR less than 2, which corresponds to 11.5% impedance bandwidth. It exhibits two radiation beams, directed at 35% and % with 7.92 dBi and 5.94 dBi realized gain, respectively at 5.5 GHz.
CMAR_A_271807 10113..10125

1Department of Gastrointestinal Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, People’s Republic of China; 2Department of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People’s Republic of China; 3Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, Xiamen, People’s Republic of China; 4School of Clinical Medicine, Fujian Medical University, Fuzhou, People’s Republic of China; 5Laboratory of Cancer Center, The First Affiliated Hospital of Xiamen University, Xiamen, People’s Republic of China