Miracle-dz/UniFAR-FTUs huggingface dataset:
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution

Directional distribution analysis has long served as a fundamental functionality in abstracting dispersion and orientation of spatial datasets. Spatial datasets that describe sensitive information of individuals such as health status and home addresses must be used and shared cautiously to protect individuals’ privacy. There is an inherent tension between the need of accurate directional distribution result and the requirement of individuals’ location privacy. Plenty of excellent location privacy protection approaches such as geo-indistinguishability can provide strong protection for locations but considerably at the expense of statistical quality of subsequent directional distribution analysis. In this paper, to protect individual location data for directional distribution, we define the geographic feature of community with covariance matrix and then propose a geo-ellipse-indistinguishability privacy notion incorporating this covariance matrix. As an instantiation of metric differential privacy, geo-ellipse-indistinguishability guarantees pairwise inputs cannot be distinguishable with the level proportional to privacy budget and Mahalanobis distance between them, given a randomized output. We also present elliptical privacy mechanisms to achieve this privacy definition on the basis of gamma distribution and multivariate normal distribution. We finally evaluate the empirical utility of the proposed mechanism in New York home addresses database. Our experiments demonstrate that under the same privacy level, our proposed elliptical approach can achieve significantly higher directional distribution utility than circular noise function based method.
THE IMPACT OF BALLISTIC TRAINING ON EXPLOSIVE POWER DEVELOPMENT AND SOME BIOMECHANICS PARAMETERS FOR LIFTING THE SNATCH YOUTH WEIGHTLIFTERS

Purpose. This study aims to develop the explosive power using the ballistic exercises and knowledge and their impact on Biomechanics performance and the level of achievement for lifting snatch. Applied study on a sample of (12) players from the Youth weightlifters team in Ismailia area Canal and Sinai cities / Egypt of the season 2012/2013, the researcher used experimental method to design two groups, one experimental consisted of (6) players and the other control group of (6) players. Where the average age of (14.87 ± 2.45 years) and height (168.17 ± 14.09 cm), weight (64.70 ± 22.26 kg) and age training (22.17 ± 11.84 month) for the experimental group, while the average age (15.78 ± 2.98 years), height (71.19 ± 14.67 cm), weight (132.02 ± 14.67 kg) and age training (16.83 ± 12.92 month) for the control group. Methods. The experimental group underwent a ballistic exercise training program for the explosive power development of the muscles involved in the snatch, while the control group underwent a training program with free weights. Ballistic training program Continued for 10 Weeks 3 times per week and the training session lasted 2 hours. The pre and post photograph for the two control and experimental used a video camera Brand Panason- ic, frequency 25 frames in the second. The analysis of motor used Maxtraq on line Manual Version 5.5, meas- ured physical tests and performance tests for the two groups. Results. The results showed a statistically significant differences between the experimental and control groups in explosive power and mechanical parameters of the performance of the snatch for the experimental group where the value of p < 0.05. The results also showed the effectiveness of ballistic training to increase the explosive power and improve the mechanical performance and the level of achievement for the snatch Youth weightlifters. Conclusions. These results must be taken into account by the coaches and weightlifters to use the ballistic training for the development explosive power to improve the mechanical performance and the level of achieve- ment lifting snatch for Youth weightlifters in childhood and adolescence.
Project success in complex projects: A systematic literature review

Complex projects are important drivers of society changes. Their impact is an important phenomenon because of the influence on both society itself and its economy. Despite the best practices all around the globe, numerous challenges can move complex projects from success to a failure scenario. Despite many research done so far on project success indicators, it is still a lack of agreement on what are the success indicators in co mplex projects. This study focuses on project success, published in the past 16 years, in complex projects. This study provides a better understanding of the various project success indicators, and their influences, therefore project managers will be able to identify and prioritize critical factors associated with implementing a successful project.
Multimodal Image Fusion Employing Discrete Cosine Transform

Image fusion (ImF) methods are employed to increase the superiority of an image and to eliminate noise from the image signal, thereby increasing its signal-to-noise ratio. There are diverse types of ImF methods with numerous advantages. In this paper, a comprehensive review of literature on the different types; transforms, techniques, and rules used in ImF is presented. To evaluate the best approach brain images was fused using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) techniques. For validation of results, the brain images of individual and fused images were evaluated. The results attained from the fused images show remarkable performance. Furthermore, the results of the performance evaluation show that PSNR1and PSNR 2 achieved 49.04dB and 48.07dB respectively for DCT, and 33.32 dB and 32.29 dB respectively was obtained for DWT. This shows that the results obtained using DCT outperforms the results of the DWT technique.
Impact of end-stage renal disease on in-hospital outcomes of hypertensive emergency from the National Inpatient Sample, 2016 to 2018

Abstract The prevalence and incidence of end-stage renal disease (ESRD) has been increasing. However, data on inpatient outcomes of hypertensive emergencies in patients with ESRD are lacking. We performed a retrospective study using the largest inpatient database in the United States. Hospitalizations for hypertensive emergency between 2016 and 2018 were identified from the National Inpatient Sample. Propensity score matching was performed between those with and without ESRD. The primary outcome was in-hospital mortality, and secondary outcomes included end-organ complications of hypertensive emergency. Multivariable logistic regression was used to identify potential risk factors of in-hospital mortality. Of 105,565 hospitalizations for hypertensive emergency, 15% occurred in patients with ESRD. Hospitalizations for hypertensive emergency in patients with ESRD were associated with higher odds of cardiac arrest (odds ratio [OR] 4.52, 95% confidence interval [CI] 1.53–13.3, P = 0.01) and acute pulmonary edema (OR 2.80, 95% CI 2.15–3.65, P < 0.01) and a longer hospital stay (mean difference 1.15 days, 95% CI 0.88–1.43, P < 0.01). Age ≥65 years, obesity, atrial fibrillation, and malnutrition were associated with higher odds of in-hospital mortality. Our findings demonstrate the excess morbidities in patients with ESRD admitted for hypertensive emergency.
Optimal control of TABS by Sparse MPC

In this paper, we propose a sparse model predictive control (MPC) methodology that offers the potential to realize additional energy savings and improved durability in air conditioning systems by reducing their frequency of use while maintaining control over their performance. The purpose of this study is to verify the effectiveness of sparse MPC by evaluating the control and energy-saving performance in general office spaces with thermally activated building systems (TABS); this is done by using unsteady computational fluid dynamics (CFD) coupled with MATLAB and Simulink. The results show that the proposed method reduced the average temperature control error on the TABS ceiling surface to be within a range of 0.3°C, reduced the five-day TABS operating time by around 14 h, and reduced the pumping energy by 39%.
Affective Image Sequence Viewing in Virtual Reality Theater Environment: Frontal Alpha Asymmetry Responses From Mobile EEG

Background: Numerous studies have investigated emotion in virtual reality (VR) experiences using self-reported data in order to understand valence and arousal dimensions of emotion. Objective physiological data concerning valence and arousal has been less explored. Electroencephalography (EEG) can be used to examine correlates of emotional responses such as valence and arousal in virtual reality environments. Used across varying fields of research, images are able to elicit a range of affective responses from viewers. In this study, we display image sequences with annotated valence and arousal values on a screen within a virtual reality theater environment. Understanding how brain activity responses are related to affective stimuli with known valence and arousal ratings may contribute to a better understanding of affective processing in virtual reality.Methods: We investigated frontal alpha asymmetry (FAA) responses to image sequences previously annotated with valence and arousal ratings. Twenty-four participants viewed image sequences in VR with known valence and arousal values while their brain activity was recorded. Participants wore the Oculus Quest VR headset and viewed image sequences while immersed in a virtual reality theater environment.Results: Image sequences with higher valence ratings elicited greater FAA scores than image sequences with lower valence ratings (F [1, 23] = 4.631, p = 0.042), while image sequences with higher arousal scores elicited lower FAA scores than image sequences with low arousal (F [1, 23] = 7.143, p = 0.014). The effect of valence on alpha power did not reach statistical significance (F [1, 23] = 4.170, p = 0.053). We determined that only the high valence, low arousal image sequence elicited FAA which was significantly higher than FAA recorded during baseline (t [23] = −3.166, p = 0.002), suggesting that this image sequence was the most salient for participants.Conclusion: Image sequences with higher valence, and lower arousal may lead to greater FAA responses in VR experiences. While findings suggest that FAA data may be useful in understanding associations between valence and arousal self-reported data and brain activity responses elicited from affective experiences in VR environments, additional research concerning individual differences in affective processing may be informative for the development of affective VR scenarios.
An event‐triggered approach to security control for networked systems using hybrid attack model

This article presents an event‐triggered approach to security control for networked systems by using hybrid attack model. Stochastic deception attacks, replay attacks, and denial of service attacks are assumed to occur in the communication network. The main contribution of the article is that an event‐triggered control strategy is presented to stabilize the networked systems based on the hybrid attacks and the network resource limitations. A novel event‐based model for networked control systems under hybrid attacks is established. Based on the proposed model, sufficient conditions are acquired to guarantee the closed‐loop system stability and the controller design method is developed. Finally, two simulation examples are given to validate the feasibility of the proposed method.
Enhancing staffing methods and improving the admission process of a psychiatric hospital using simulation

ABSTRACT This study considers how patients with severe mental illness are referred to a psychiatric hospital from outpatient settings, community mental health centers, or general hospitals. Due to the complexities of many of the patients, the referral process has multiple steps and was experiencing significant delays that both hindered patient care and drove up system costs. The combination of a multistage patient assessment process and the need to observe patients prior to transfer create unique system constraints and objectives. An investigation of potential root causes of admissions process delay determined that insufficient capacity in the Mental Health Disorder Identification (MHDI) process was the primary cause. Discrete event simulation was used to analyze eight different capacity scenarios for MHDI resulting in a recommendation to increase daily MHDI capacity and to provide backup capacity to cover staff vacation days, the latter being one of the more important findings. The simulation model is also used to assess what capacity improvements are required to keep PM times low for up to a 25% increase in the patient arrival rate.
High-Intensity Probes of Axion-Like Particles

With continuously increasing intensities, modern laser systems can become a valuable tool for the search for axions and axion-like particles. As conventional setups of axion searches cannot easily accommodate the usage of a high-intensity laser system, we propose a novel, purely laser-based setup in which the occurrence of a frequency shift is an observable for the axion-photon interaction.
ROCCER: A ROC convex hull rule learning algorithm

In this paper we propose a method to construct rule sets that have a convex hull in ROC space. We introduce a rule selection algorithm called ROCCER, which operates by selecting rules from a larger set of rules in order to optimise Area Under the ROC Curve (AUC). Compared with set covering algorithms, our method is less dependent on the previously induced rules. Experimental results on three UCI datasets show significant improvements on two of these.
Akkermansia muciniphila Enhances Egg Quality and the Lipid Profile of Egg Yolk by Improving Lipid Metabolism

Akkermansia muciniphila (A. muciniphila) has shown potential as a probiotic for the prevention and treatment of non-alcoholic fatty liver disease in both humans and mice. However, relatively little is known about the effects of A. muciniphila on lipid metabolism, productivity, and product quality in laying hens. In this study, we explored whether A. muciniphila supplementation could improve lipid metabolism and egg quality in laying hens and sought to identify the underlying mechanism. In the first experiment, 80 Hy-Line Brown laying hens were divided into four groups, one of which was fed a normal diet (control group), while the other three groups were administered a high-energy, low-protein diet to induce fatty liver hemorrhagic syndrome (FLHS). Among the three FLHS groups, one was treated with phosphate-buffered saline, one with live A. muciniphila, and one with pasteurized A. muciniphila. In the second experiment, 140 Hy-Line Brown laying hens were divided into two groups and respectively fed a basal diet supplemented or not with A. muciniphila lyophilized powder. The results showed that, in laying hens with FLHS, treatment with either live or pasteurized A. muciniphila efficiently decreased body weight, abdominal fat deposition, and lipid content in both serum and the liver; downregulated the mRNA expression of lipid synthesis-related genes and upregulated that of lipid transport-related genes in the liver; promoted the growth of short-chain fatty acids (SCFAs)-producing microorganisms and increased the cecal SCFAs content; and improved the yolk lipid profile. Additionally, the supplementation of lyophilized powder of A. muciniphila to aged laying hens reduced abdominal fat deposition and total cholesterol (TC) levels in both serum and the liver, suppressed the mRNA expression of cholesterol synthesis-related genes in the liver, reduced TC content in the yolk, increased eggshell thickness, and reshaped the composition of the gut microbiota. Collectively, our findings demonstrated that A. muciniphila can modulate lipid metabolism, thereby, promoting laying hen health as well as egg quality and nutritive value. Live, pasteurized, and lyophilized A. muciniphila preparations all have the potential for use as additives for improving laying hen production.
IPD Millimeter-Wave Bandpass Filter Chip Based on Stepped-Impedance Coupled-Line Dual-Mode Resonator for 5G Application

A novel stepped-impedance coupled-line dual-mode resonator (SICLDMR) is presented and analyzed in this brief. The resonator is a closed ring structure, constructed by two coupled lines with different impedances. The even- and odd-mode resonance frequencies of this SICLDMR are created due to the different effective dielectric constants of the two modes. Based on the proposed resonator, a simple bandpass filter (BPF) is designed by adding two symmetric open-stub feeding structures. For demonstration, a narrowband BPF operating at 35 GHz is simulated, fabricated by using the 100- ${\mu }\text{m}$ -thick-GaAs integrated passive device (IPD) technology. And the measured results show that the BPF with a good fractional bandwidth of 13% realizes a low insertion loss of 0.74 dB, sharp roll-off skirt of passband, and wide stopband rejection. The advantages of the proposed IPD BPF indicate that it has a promising application prospect in 5G millimeter-wave systems.
Holographic Acoustic Tweezers for 5-DoF Manipulation of Nanocarrier Clusters toward Targeted Drug Delivery

Acoustic tweezers provide unique capabilities in medical applications, such as contactless manipulation of small objects (e.g., cells, compounds or living things), from nanometer-sized extracellular vesicles to centimeter-scale structures. Additionally, they are capable of being transmitted through the skin to trap and manipulate drug carriers in various media. However, these capabilities are hindered by the limitation of controllable degrees of freedom (DoFs) or are limited maneuverability. In this study, we explore the potential application of acoustical tweezers by presenting a five-DoF contactless manipulation acoustic system (AcoMan). The system has 30 ultrasound transducers (UTs) with single-side arrangement that generates active traveling waves to control the position and orientation of a fully untethered nanocarrier clusters (NCs) in a spherical workspace in water capable of three DoFs translation and two DoFs rotation. In this method, we use a phase modulation algorithm to independently control the phase signal for 30 UTs and manipulate the NCs’ positions. Phase modulation and switching power supply for each UT are employed to rotate the NCs in the horizontal plane and control the amplitude of power supply to each UT to rotate the NCs in the vertical plane. The feasibility of the method is demonstrated by in vitro and ex vivo experiments using porcine ribs. A significant portion of this study could advance the therapeutic application such a system as targeted drug delivery.
A minireview on 2D materials-enabled optoelectronic artificial synaptic devices

Two-dimensional (2D) layered materials exhibit many unique properties, such as near-atomic thickness, electrical tunability, optical tunability, and mechanical deformability, which are characteristically distinct from conventional materials. They are particularly promising for next-generation biologically inspired optoelectronic artificial synapses, offering unprecedented opportunities beyond the current complementary metal–oxide–semiconductor-based computing device technologies. This Research update article introduces the recent exploration of various 2D materials for optoelectronic artificial synapses, such as graphene, transition metal dichalcogenides, black phosphorous, hexagonal boron nitride, MXenes, and metal oxides. Material property suitability and advantages of these 2D materials in implementing optoelectronic artificial synapses are discussed in detail. In addition, recent progress demonstrating 2D materials-enabled optoelectronic artificial synaptic devices is reviewed along with their device operation principles. Finally, pending challenges and forward-looking outlooks on this emerging research area are suggested.
Nanomechanical and Morphological AFM Mapping of Normal Tissues and Tumors on Live Brain Slices Using Specially Designed Embedding Matrix and Laser-Shaped Cantilevers

Cell and tissue nanomechanics has been intriguingly introduced into biomedical research, not only complementing traditional immunophenotyping and molecular analysis, but also bringing unexpected new insights for clinical diagnostics and bioengineering. However, despite the progress in the study of individual cells in culture by atomic force microscopy (AFM), its application for mapping live tissues has a number of technical limitations. Here, we elaborate a new technique to study live slices of normal brain tissue and tumors by combining morphological and nanomechanical AFM mapping in high throughput scanning mode, in contrast to the typically utilized force spectroscopy mode based on single-point probe application. This became possible due to the combined use of an appropriate embedding matrix for vibratomy and originally modified AFM probes. The embedding matrix composition was carefully developed by regulating the amounts of agar and collagen I to reach optimal viscoelastic properties for obtaining high-quality live slices that meet AFM requirements. AFM tips were rounded by irradiating them with focused nanosecond laser pulses, while the resulting tip morphology was verified by scanning electron microscopy. Live slices preparation and AFM investigation take only 55 min and could be combined with a vital cell tracer analysis or immunostaining, thus making it promising for biomedical research and clinical diagnostics.
Altered Developmental and Metabolic Gene Expression in Basil Interspecific Hybrids

To understand the altered developmental changes and associated gene expression in inter-genomic combinations, a study was planned in two diverse yet closely related species of Ocimum, targeting their hybrid F1 and amphidiploids. The existing developmental variations between F1 and amphidiploids was analyzed through phenotypical and anatomical assessments. The absence of 8330 transcripts of F1 in amphidiploids and the exclusive presence of two transcripts related to WNK lysine-deficient protein kinase and geranylgeranyl transferase type-2 subunit beta 1-like proteins in amphidiploids provided a set of genes to compare the suppressed and activated functions between F1 and amphidiploids. The estimation of eugenol and methyleugenol, flavonoid, lignin and chlorophyll content was correlated with the average FPKM and differential gene expression values and further validated through qRT-PCR. Differentially expressed genes of stomatal patterning and development explained the higher density of stomata in F1 and the larger size of stomata in amphidiploids. Gene expression study of several transcription factors putatively involved in the growth and developmental processes of plants clearly amalgamates the transcriptome data linking the phenotypic differences in F1 and amphidiploids. This investigation describes the influence of interspecific hybridization on genes and transcription factors leading to developmental changes and alleviation of intergenomic instability in amphidiploids.