Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Tiktok Social Media On Student Behavior At MTsN Nurul Huda

This study aims to find out the impact on the TikTok application about student behavior at MTSN Nurul Huda. The type of research used is a quantitative type of research. The sample population numbered 87. The sample used in this study had 35 respondents using purposive sampling techniques. The theory used in this study is the CMC (computer-mediatedcommunication) theory. The data collection technique uses pearson product moment correlation by collecting data using a questionnaire or in the form of a questionnaire with 10 statement questions. So in the researchon student behavior that influences tiktok social media is with the statement of table 1, namely about the tiktok application that can help increase self-confidence, the results of 27 students agreeing and 8 students disagreeing. Table 2 positive and negative responses of users to the video made 33 sides agreed and 2 students disagreed. Table 3 issues of manners are declining due to the use of tiktok, 4 students agree 31 students disagree. Table 4 effect of tiktok downloads from friends and others, results 22 students agreed and 13 students disagreed. Table 4 objected to the withdrawal of tiktok permission by the Ministry of Communication and Information, 33 students agreed and 2 students disagreed. Table 6 doubts to re-download tiktok after its permission is allowed, 2 students agree and 33 students disagree, Table 7 becomes lazy after using tiktok, 13 students agree and 22 students disagree. Table 8 follows things that went viral on tiktok even though it was negative, 27 students agreed and 8 students disagreed. Table 9 not everyone likes tiktok 31 students agree and 4 students disagree. Table 10 became a better person after using tiktok, 30 students agreed and 5 sides disagreed.
A ±45°-Polarized Antenna System With Four Isolated Channels for In-Band Full-Duplex (IBFD)

An in-band full-duplex (IBFD) antenna system having four ports with good self-interference cancellation (SIC) is presented in this article. Two of the four ports provide +45°-polarized radiation and the other two generate − 45°-polarized radiation. Every port of the proposed antenna is well isolated from the other three ports, enabling simultaneous transmitting (TX) and receiving (RX) with both two polarizations. To achieve this goal, three different types of couplings need to be addressed simultaneously. In this work, a novel isolation feed network is proposed, which is the first of its kind that can achieve three targets at the same time, i.e., feeding the antenna differentially, forming the original horizontal and vertical polarizations into ± 45° polarizations, and canceling out the reflected and coupled signals between the TX and RX ports. Then, a double-antenna IBFD system with four isolated channels is attained by combining the proposed feed network, defected ground structure (DGS), cross-shaped walls, and metal baffles, which effectively mitigated all the three types of couplings at the same time. The double-antenna system has high isolations of $>$ 39 dB between any two of the four ports from 3.3 to 3.9 GHz. The four radiation patterns obtained by exciting the four ports are very similar to each other and are stable with frequency, which makes it an excellent candidate for 5G sub-6 GHz IBFD applications.
On local polynomial estimation of hazard rates and their derivatives under random censoring

The Dirac function is used to define an empirical hazard rate ? (? ) whose integral up to time t equals to the Nelson-Aalen estimator. This empirical hazard rate exists only in space of Schwartz distributions, so we introduce a local polynomial approximation to ? (? ) which provides estimators of the hazard rate and its derivatives. Consistency and joint asymptotic normality of the local polynomial estimators are established. The estimators have favorable properties similar to those of local polynomial regression estimators, that is, the hazard rate estimator is boundary adaptive and under certain smoothness conditions the rate of convergence can be made arbitrary close to root n. The estimator is boundary corrected even if a local constant smoother is employed. Asymptotic expressions for the mean squared errors (MSE's) are obtained and used in bandwidth selection. A data-driven local bandwidth selection rule is proposed and is illustrated on the Stanford heart transplant data. We use Monte Carlo methods to show that the proposed estimator compares favorably with the M? ller-Wang estimator.
The Non-JAZ TIFY Protein TIFY8 of Arabidopsis thaliana Interacts with the HD-ZIP III Transcription Factor REVOLUTA and Regulates Leaf Senescence

The HD-ZIP III transcription factor REVOLUTA (REV) is involved in early leaf development, as well as in leaf senescence. REV directly binds to the promoters of senescence-associated genes, including the central regulator WRKY53. As this direct regulation appears to be restricted to senescence, we aimed to characterize protein-interaction partners of REV which could mediate this senescence-specificity. The interaction between REV and the TIFY family member TIFY8 was confirmed by yeast two-hybrid assays, as well as by bimolecular fluorescence complementation in planta. This interaction inhibited REV’s function as an activator of WRKY53 expression. Mutation or overexpression of TIFY8 accelerated or delayed senescence, respectively, but did not significantly alter early leaf development. Jasmonic acid (JA) had only a limited effect on TIFY8 expression or function; however, REV appears to be under the control of JA signaling. Accordingly, REV also interacted with many other members of the TIFY family, namely the PEAPODs and several JAZ proteins in the yeast system, which could potentially mediate the JA-response. Therefore, REV appears to be under the control of the TIFY family in two different ways: a JA-independent way through TIFY8, which controls REV function in senescence, and a JA-dependent way through PEAPODs and JAZ proteins.
Mode C flow transition behind a circular cylinder with a near-wake wire disturbance

Abstract The three-dimensional transition of the flow behind a circular cylinder with a near-wake wire disturbance has been investigated experimentally. The asymmetric placement of a wire in the near-wake region of the cylinder causes an unnatural mode of shedding to occur, namely mode C. We performed flow visualization and particle image velocimetry (PIV) experiments to investigate the influence of the wire on various properties of the flow, such as the dynamics of the streamwise secondary vortices. Experiments were performed at the Reynolds number range of Re = 165–300. From these experiments, it can be concluded that mode C structures are formed as secondary streamwise vortices around the primary von Kármán vortices. The spanwise wavelength of those mode C structures is determined to be approximately two cylinder diameters. The presence of the wire also triggered the occurrence of period doubling in the wake. Each new set of mode C structures is out of phase with the previous set, i.e. doubling the shedding period. This period-doubling phenomenon is due to a feedback mechanism between the consecutively shed upper vortices.
On Chance and Factor Congruence Following Orthogonal Procrustes Rotation

Procrustes methods of factor rotation have been criticized for producing excessively high coefficients of congruence when attempting to fit one factor pattern matrix into the space of a targeted pattern. A Monte Carlo study was designed to evaluate some of the conditions contributing to this problem when using Schonemann's orthogonal Procrustes transformation. It was found that the expected size of the factor congruence coefficient varied with (a) the number of variables in the analysis, (b) the number of salient variables defining a factor, and (c) the size of the salient variables' factor pattern coefficients. The number of factors extracted also had some influence on congruence but only in interaction with the size of the salient pattern values. The results of this simulation study, which include a prediction equation, can be used by researchers to appraise levels of factor congruence they find with real data.
Inherent internal p-n junction assisted single layered n-type iron pyrite solar cell

The high absorption coefficient and low cost with plentiful availability make the material iron pyrite (FeS2) promising for solar cell applications. However, their efficiency in the literature is still around 2.8% due to their low VOC. The presence of an acceptor-type surface inversion layer (SIL) with a significant band gap (0.56 eV–0.72 eV) is the main cause of this low performance. A detailed study considering these two parameters is not available in the literature to relate device performance to underlying phenomena. Therefore, a comprehensive analysis of the band gap and doping variation of SIL was performed in this article to explore the efficiency potential of FeS2 solar cells. The results showed that SIL with a low bandgap is highly undesirable, and it is recommended to fabricate SIL with a higher band gap of 0.72 eV and a doping of 1019 cm−3 in the laboratory to achieve a conversion efficiency of 5.36%. It was also confirmed that FeS2-based solar cells without a SIL layer have the potential to deliver 10.3% conversion efficiency. The results reported in this study will pave the way for underestimating the workings of iron pyrite solar cells and developing highly efficient FeS2 solar cells.
Deep Learning With Convolutional Neural Networks for Motor Brain-Computer Interfaces Based on Stereo-Electroencephalography (SEEG)

<italic>Objective:</italic> Deep learning based on convolutional neural networks (CNN) has achieved success in brain-computer interfaces (BCIs) using scalp electroencephalography (EEG). However, the interpretation of the so-called ‘black box’ method and its application in stereo-electroencephalography (SEEG)-based BCIs remain largely unknown. Therefore, in this paper, an evaluation is performed on the decoding performance of deep learning methods on SEEG signals. <italic>Methods:</italic> Thirty epilepsy patients were recruited, and a paradigm including five hand and forearm motion types was designed. Six methods, including filter bank common spatial pattern (FBCSP) and five deep learning methods (EEGNet, shallow and deep CNN, ResNet, and a deep CNN variant named STSCNN), were used to classify the SEEG data. Various experiments were conducted to investigate the effect of windowing, model structure, and the decoding process of ResNet and STSCNN. <italic>Results:</italic> The average classification accuracy for EEGNet, FBCSP, shallow CNN, deep CNN, STSCNN, and ResNet were 35 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 6.1%, 38 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 4.9%, 60 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 3.9%, 60 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 3.3%, 61 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 3.2%, and 63 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 3.1% respectively. Further analysis of the proposed method demonstrated clear separability between different classes in the spectral domain. <italic>Conclusion:</italic> ResNet and STSCNN achieved the first- and second-highest decoding accuracy, respectively. The STSCNN demonstrated that an extra spatial convolution layer was beneficial, and the decoding process can be partially interpreted from spatial and spectral perspectives. <italic>Significance:</italic> This study is the first to investigate the performance of deep learning on SEEG signals. In addition, this paper demonstrated that the so-called ‘black-box’ method can be partially interpreted.
Probabilities for the Size of Largest Clusters and Smallest Intervals

Abstract Given N points distributed at random on [0,1), let np be the size of the largest number of points clustered within an interval of length p. Previous work finds Pr (np≥n), for n>N/2, and for n≤N/2, p=1/L, L an integer. The formula for the case p=1/L is in terms of the sum of L×L determinants and is not computationally feasible for large L. The present paper derives such a computational formula.
Design of Adaptive SOSM Controller Subject to Disturbances With Unknown Magnitudes

The work is dedicated to handling the issue of a new adaptive second-order sliding mode (ASOSM) controller design for a class of nonlinear systems subject to disturbances and nonlinear control gains with unknown magnitudes. Significantly, the proposed controller involves two adaptive parameters, which are generated from a dual-layer adaptive mechanism. The mechanism directs at the reestablishment of the upper bounds of the unknown disturbances and the handling of the nonlinear control gains. Through a combination of the mechanism and the finely renovated adding a power integrator technique, a novel design procedure is introduced to skillfully design an ASOSM controller. A rigorous Lyapunov analysis is afforded to evince the finite-time stability of the whole system. Finally, two illustrative examples are given to exhibit the effectiveness of the developed approach.
Altered Expression of Several Molecular Mediators of Cerebrospinal Fluid Production in Hyp Mice

Abstract Context X-linked hypophosphatemia (XLH) is a genetic disease, causing life-long hypophosphatemia due to overproduction of fibroblast growth factor 23 (FGF23). XLH is associated with Chiari malformations, cranial synostosis, and syringomyelia. FGF23 signals through FGFR1c and requires a coreceptor, α-Klotho, which is expressed in the renal distal convoluted tubules and the choroid plexus (ChP). In the ChP, α-Klotho participates in regulating cerebrospinal fluid (CSF) production by shuttling the sodium/potassium adenosine triphosphatase (Na+/K+-ATPase) to the luminal membrane. The sodium/potassium/chloride cotransporter 1 (NKCC1) also makes a substantial contribution to CSF production. Objective Since CSF production has not been studied in XLH, we sought to determine if there are changes in the expression of these molecules in the ChP of Hyp mice, the murine model of XLH, as a first step toward testing the hypothesis that altered CSF production contributes to the cranial and spinal malformations seen this disease. Methods Semi-quantitative real-time PCR was used to analyze the level of expression of transcripts for Fgfr1c, and thee key regulators of CSF production, Klotho, Atp1a1 and Slc12a2. In situ hybridization was used to provide anatomical localization for the encoded proteins. Results Real-time polymerase chain reaction (RT-PCR) demonstrated significant upregulation of Klotho transcripts in the fourth ventricle of Hyp mice compared to controls. Transcript levels for Fgfr1c were unchanged in Hyp mice. Atp1a1 transcripts encoding the alpha-1 subunit of Na+/K+-ATPase were significantly downregulated in the third and lateral ventricles (LV). Expression levels of the Slc12a2 transcript (which encodes NKCC1) were unchanged in Hyp mice compared to controls. In situ hybridization (ISH) confirmed the presence of all 4 transcripts in the LV ChP both of WT and Hyp mice. Conclusion This is the first study to document a significant change in the level of expression of the molecular machinery required for CSF production in Hyp mice. Whether similar changes occur in patients with XLH, potentially contributing to the cranial and spinal cord abnormalities frequently seen in XLH, remains to be determined.
Prevalence and Associated Factors of Hypertension Among Adults in Gurage Zone, Southwest Ethiopia, 2022

Introduction Hypertension affects over a billion people worldwide, making it a major public health problem. The problem is significant in both developed and developing countries. However, studies are scarce in developing countries such as Ethiopia. Objectives This study aimed to assess the prevalence of hypertension and its associated factors at the community level, in South Ethiopia. Methods A cross-sectional study design was employed on a sample of 680 participants in the study from April 1 to June 30, 2022. An interview administer was conducted using a standardized and pretested questionnaire was employed. The Epi data 3.1 versions were used to enter data and then exported into SPSS version 23 for analysis. All variables in the multivariable logistic analysis were a candidate with a bi-variable at p < . 25. The multivariable logistic regressions were performed to determine the predictors of hypertension, and the significance level was established with p < . 05. Results There were a total of 635 participants and the response rate was 93.4%. The prevalence of hypertension was found to be 22.0% [95% CI; 19.1–25.4]. The mean age of the participants was 40.8 ± 12.88 years. Being older age (AOR: 1.95; 95%CI; 1.13–3.36), family history [AOR: 2.65, 95%; CI (1.29–5.45)], eating animal fat [AOR: 0.21, 95%; CI (0.08–0.52)], smoking cigarettes [AOR: 4.06, 95%; CI (2.24–7.36)] and had poor knowledge about hypertension [AOR: 2.69, 95%; CI (1.61–4.49)] were significantly associated with raised blood pressure. Conclusions Hypertension was prevalent in one out of every five study participants. Older age, family history of hypertension, animal fat intake, cigarette smoking, and lack of knowledge were found to be significant factors for hypertension. To address the burden of hypertension, health care practitioners should provide broad health education, routine screening, and promotion of recommended lifestyle measures.
Exploration and Comparison of the Behavior of Some Indigenous and International Varieties (Vitis vinifera L.) Grown in Climatic Conditions of Herzegovina: The Influence of Variety and Vintage on Physico-Chemical Characteristics of Grapes

Viticulture is of great economic importance in the southern part of Bosnia and Herzegovina, thanks to favorable climatic conditions and a long-standing tradition of growing vines. The assortment is dominated by international varieties, as well as some autochthonous and domesticated varieties. The subject of the research is the analysis of the quality of Cabernet Sauvignon, Merlot, Vranac, and Blatina varieties at two localities in Herzegovina during the period 2020–2021. The paper examined the most important economic and technological characteristics, grape quality, and berry phenolic profile. A particularly pronounced variation of the tested characteristics during the research period was observed in the Merlot and Blatina varieties, while the Cabernet Sauvignon and Vranac varieties showed a slightly higher stability of the tested characteristics. Poorer grape quality during the research period was registered with the Blatina variety, which can be considered a varietal characteristic to some extent. The analyzed grape varieties were rich in polyphenols, and the impact of grape variety on the berry phenolic profiles was confirmed. The most abundant polyphenols in the analyzed grape samples were quercetin 3-O-glucoside and catechin gallate, followed by kaempferol 3-O-glucoside. The highest values of polyphenols were found mainly in the samples originating from Trebinje. Indigenous Balkan grape varieties (Vranac and Blatina) stood out with particularly high contents of some phenolics. Research has shown that climatic conditions have a significant influence on the most important characteristics of grapes, which are conditioned by genotypic specificities. The conditions for growing vines in the conditions of Herzegovina enable high quality in the production of grapes, especially the Cabernet Sauvignon and Vranac varieties. The autochthonous variety Blatina shows significant variations in grape quality during the test period, which was confirmed by the results of a larger number of studies in the previous period.
Serum Fatty Acid Composition Balance by Fuzzy C-Means Method in Individuals with or without Metabolic Dysfunction-Associated Fatty Liver Disease

Circulating fatty acid composition is assumed to play an important role in metabolic dysfunction-associated fatty liver disease (MAFLD) pathogenesis. This study aimed to investigate the association between the overall balance of serum fatty acid composition and MAFLD prevalence. This cross-sectional study involved 400 Japanese individuals recruited from a health-screening program. We measured fatty acids in serum lipids using gas chromatography–mass spectrometry. The serum fatty acid composition balance was evaluated using fuzzy c-means clustering, which assigns individual data points to multiple clusters and calculates the percentage of data points belonging to multiple clusters, and serum fatty acid mass%. The participants were classified into four characteristic subclasses (i.e., Clusters 1, 2, 3, and 4), and the specific serum fatty acid composition balance (i.e., Cluster 4) was associated with a higher MAFLD prevalence. We suggest that the fuzzy c-means method can be used to determine the circulating fatty acid composition balance and highlight the importance of focusing on this balance when examining the relationship between MAFLD and serum fatty acids.
Evaluation of Anesthetic and Cardiorespiratory Effects after Intramuscular Administration of Three Different Doses of Telazol® in Common Marmosets (Callithrix jacchus)

Simple Summary Our study demonstrates that the immobilization of marmosets is best performed with a Telazol® dose of 5 mg/kg administered intramuscularly. This dose resulted in 50–90 min of immobilization, during which scientists and veterinarians can perform minimally invasive procedures. Abstract Marmosets’ small body size makes anesthesia challenging. Ideally, small volumes of drugs should be administered intramuscularly (i.m.). In addition, dose-dependent sedation and anesthesia are desirable properties for sedatives and anesthetics in marmosets. Telazol® (tiletamine and zolazepam) is highly concentrated, allowing the use of small injection volumes and dose-dependent sedation and anesthesia. A randomized, blinded study with crossover design in ten healthy adult common marmosets (Callithrix jacchus) was performed to evaluate the anesthetic and cardiorespiratory effects of three doses of i.m. Telazol® (respectively, 5, 10, and 15 mg/kg). Depth of anesthesia, cardiorespiratory effects, and induction, immobilization, and recovery times were determined. A significant difference was observed in immobilization time between 5 and 15 mg/kg of Telazol®. In addition, 15 mg/kg of Telazol® resulted in increased recovery times compared to 5 mg/kg. The cardiorespiratory effects during the first 45 min of immobilization were within clinically acceptable limits. The pedal withdrawal reflex was the best indicator of the anesthetic depth.
Scaling Podman on Perlmutter: Embracing a community-supported container ecosystem

Containers have provided a popular new paradigm for managing software and services. However, in HPC the use of containers has historically been more difficult due to multi-tenancy, security, and performance requirements; consequently several custom HPC container runtimes have emerged from the community. The resulting fractured ecosystem presents challenges both for HPC container framework maintainers and for users. In this paper, we describe work at NERSC to adapt Podman, a popular OCI-compliant container framework developed by Red Hat, Inc., for use in HPC. Podman has several key features which make it appealing for use in an HPC environment: its rootless container mode addresses many security concerns, it has a standardized command interface which will be familiar to users of established popular container runtimes, it is daemonless, and it is open-source and community supported. Additional innovations at NERSC have enabled Podman to achieve the good scaling behavior required by HPC applications.