Miracle-dz/UniFAR-FTUs huggingface dataset:
VeRSA: Verifiable Registries with Efficient Client Audits from RSA Authenticated Dictionaries

Verifiable registries allow clients to securely access a key-value mapping maintained by an untrusted server. Registries must be audited to ensure global invariants are preserved, which, in turn, allows for efficient monitoring of individual registry entries by their owners. To this end, existing proposals either assume trusted third-party auditors or rely on incrementally verifiable computation (IVC) via expensive recursive SNARKs to make registries client-auditable. In this work, we give new client-auditable verifiable registries with throughputs up to 100x greater than baseline IVC solutions. Our approach relies on an authenticated dictionary based on RSA accumulators for which we develop a new constant-size invariant proof. We use this as a replacement for Merkle trees to optimize the baseline IVC approach, but also provide a novel construction which dispenses with SNARKs entirely. This latter solution adopts a new checkpointing method to ensure client view consistency.
Inspection and evaluation of 3D model reconstruction from 3D scans in virtual reality

3D model reconstruction from scans is a standard problem of computer graphics with a wide range of solutions. When performing a complete 3D reconstruction, it is important to evaluate the quality of the resulting model. In the case of the available ground truth model, the evaluation process is quite straightforward. We can quantitatively compare the geometry of the reconstructed model and ground truth model, their topology or structure. Without the ground truth model, the situation is much more complicated. Several solutions based on various approaches have been recently proposed. The research suggests that many investigated methods can be used to evaluate the quality of 3D models, however, with different levels of relevancy. In the presented work, we addressed this problem by proposing a new evaluation method based on virtual reality (VR) involving multiple users. This technology brings generally accepted beneﬁts of immersive interaction and enhanced model presentation. Using VR reduces the time needed for veriﬁcation, validation and evaluation of the reconstructed model. Taking advantage of VR, this approach opens the way for qualitative evaluation applicable in a wide range of domains, especially if the ground truth model is not available.
Optimal Location for types of capacitor to maximize the net saving in RDS using MTLBO algorithm

The capacitor connected in the radial distribution system (RDS) is capable of providing reactive power and which impacts of increasing power utilization and voltage profile of the system. This paper presents a net saving maximization based optimal location and sizing of fixed and switched capacitor in radial distribution system. The net saving maximization is considered as a cost of energy loss, installation, purchase and operating costs of capacitors. It is formed as an objective function and which is solved by using a modified teaching learning based optimization (MTLBO) algorithm. In this algorithm basically consider as three phases, namely teaching phase, learning phase and mutation phase. The MTLBO algorithm is to employ in this problem in order to exploit the objective function. The efficiency of the MTLBO algorithm is validated by testing it on 34-node and 69-node systems. The simulation results of this proposed approach are compared within the existing report.
Epifriedelanol and Dammara-20,24-dien-3-yl Acetate from Ethiopian Inula confertiflora Root Extract

Phytochemical investigation of the ethanol extract of the root of Inula confertiflora afforded two rare triterpenoids, namely, epifriedelanol and dammara-20,24-dien-3-yl acetate, and their chemical structure was elucidated using appropriate techniques.
A Study on Organisational Factors that Facilitate Knowledge Management

Knowledge is considered as an organizational resource that enables an organizationto have a competitive edge over its revivals. It is because of this, the management of knowledge and its application have vital role in organizations. The model of knowledge management (KM)recognize four phases for its practice: knowledge acquisition, storage, distribution, and utilization. The KM is characterised as an interdisciplinary approach that involves both technical and social aspects. For the effective practice of KM requires proper integration of these dipole aspects-which heavily depend up on factors that as internal to organisation. Therefore the purpose of this study is to identify factors, which are internal to an organization that support KM. To achieve this goal an exploratory study was conductedbased on data obtained through questionnaire from a sample of 160 managerialand the result indicates the presence of six factors which are internal to an organization that support KM process in the organizations.
What has driven the delinking of wages from productivity? A political economy-based investigation for high-income economies

The drop in the labor share experienced in high-income countries in the last three to four decades testifies to a general divergence in the growth rates of labor productivity and average wages. In this respect, we first quantify the magnitude of this decoupling; second, we inquire into the factors that prevented wage growth from keeping pace with productivity. We endorse a ‘political economy’ approach – a line of inquiry which has been recently fueled and followed by the post-Keynesian literature – focusing on the effects on wage dynamics of some macroeconomic and institutional factors in a panel of 22 OECD economies for the post-1970 period. We find that, on average and over the cycle, only 50% of increased productivity went to workers. Our empirics indicate that labor market slack and the weakening of pro-labor institutions have acted as wage-squeezing factors; a negative effect is also found for globalization, specifically for trade openness and international capital mobility. Other aspects of the process of financialization, such as market capitalization and the dynamics of the real interest rate, seem not to have exerted a substantial impact on real wage growth.
Blockchain Based Device Authentication For The Internet Of Things

- The technologies such as Internet of Things have contributed rapidly to transform the environment in a smarter way. Each thing connected in this environment has its own identity which is standardised yet vulnerable in many ways. Blockchain-the decentralised, distributed, immutable ledger technology is an alternative solution to visualise the connected network in a more secured way. By combining these two technologies, the identities of each device are made rigid and tamper proof. In this paper, the advantages of anonymity of blockchain technology is inculcated to the “things” through identity based encryption algorithm and smart contracts. The proposed work integrates key management and makes it unalterable and Smart contracts automate the membership of devices in a network thus ensuring secure identities to devices.
THE EFFECT OF SUPPLEMENTAL FOOD ON DEMOGRAPHY

(1) We examined the effect of food availability on the population dynamics of red squirrels. A temporary, ad libitum food addition was conducted during two summers in Douglas fir (low population density) and white spruce (high population density) forest habitats from 1985 to 1988 in south-central British Columbia, Canada. (2) The addition of supplemental food resulted in a strong increase in recruitment, primarily by juvenile immigrants in autumn. Increased recruitment caused a fourfold increase in population density in fir habitat and a twofold increase in spruce habitat. Both recruitment to the food-supplemented grids and the decline in density following the removal of food were density-dependent. (3) Supplemental food had no clear effect on juvenile or adult weights, juvenile growth rates, juvenile or adult survival, reproductive parameters or sex ratios. (4) The difference in red squirrel population density in the two habitats was due to higher average food availability in white spruce habitat. The availability of excess food during the food addition period indicated that factors other than food availability limited the population at high density.
Interplay between genetic risk and the parent environment in adolescence and substance use in young adulthood: A TRAILS study

Many adolescents start using tobacco, alcohol, and cannabis. Genetic vulnerability, parent characteristics in young adolescence, and interaction (GxE) and correlation (rGE) between these factors could contribute to the development of substance use. Using prospective data from the TRacking Adolescent Individuals ’ Lives Survey (TRAILS; N = 1,645), we model latent parent characteristics in young adolescence to predict young adult substance use. Polygenic scores (PGS) are created based on genome-wide association studies (GWAS) for smoking, alcohol use, and cannabis use. Using structural equation modeling we model the direct, GxE, and rGE effects of parent factors and PGS on young adult smoking, alcohol use, and cannabis initiation. The PGS, parental involvement, parental substance use, and parent – child relationship quality predicted smoking. There was GxE such that the PGS amplified the effect of parental substance use on smoking. There was rGE between all parent factors and the smoking PGS. Alcohol use was not predicted by genetic or parent factors, nor by interplay. Cannabis initiation was predicted by the PGS and parental substance use, but there was no GxE or rGE. Genetic risk and parent factors are important predictors of substance use and show GxE and rGE in smoking. These findings can act as a starting point for identifying people at risk.
Markov Chain Monte Carlo

One of the simplest and most powerful practical uses of the ergodic theory of Markov chains is in Markov chain Monte Carlo (MCMC). Suppose we wish to simulate from a probability density π (which will be called the target density) but that direct simulation is either impossible or practically infeasible (possibly due to the high dimensionality of π). This generic problem occurs in diverse scientific applications, for instance Statistics, Computer Science, and Statistical Physics. Markov chain Monte Carlo offers an indirect solution based on the observation that it is much easier to construct an ergodic Markov chain with π as a stationary probability measure, than to simulate directly from π. This is because of the ingenious MetropolisHastings algorithm which takes an arbitrary Markov chain and adjusts it using a simple accept-reject mechanism to ensure the stationarity of π for the resulting process. The algorithms was introduced by Metropolis et al. (1953) in a Statistical Physics context, and was generalised by Hastings (1970). It was considered in the context of image analysis (Geman and Geman, 1984) data augmentation (Tanner and Wong, 1987). However, its routine use in Statistics (especially for Bayesian inference) did not take place until its popularisation by Gelfand and Smith (1990). For modern discussions of MCMC, see e.g. Tierney (1994), Smith and Roberts (1993), Gilks et al. (1996), and Roberts and Rosenthal (1998b). The number of financial applications of MCMC is rapidly growing (see for example the reviews of Kim et al., 1996 and Johannes and Polson, 2003). In this area, important problems revolve around the need to impute latent (or imperfectly observed) time-series such as stochastic volatility processes. Modern developments have often combined the use of MCMC methods with filtering or particle filtering methodology. In Actuarial Sciences, MCMC appears to have huge potential in hitherto intractabile inference problems, much of this untapped as yet (though see Scollnik, 2001, Ntzoufras and Dellaportas, 2002, and Bladt et al., 2003).
CSI Based High Accuracy Device Free Passive Localization System

A new radio frequency fingerprint that incorporates the channel impulse response and Angle of Arrival was introduced to enhance the accuracy of the indoor positioning. To use the new fingerprint. We use the generalized distance metric, i.e., Jensen-Shannon Divergence and cluster center to compare the difference between data collected at the test point and given reference point. Based on the new RF fingerprint, we proposed a device free passive localization system that does not require the user to have any measurement devices. The user location is estimated by searching the reference points with the the smallest distance between the test data and the database. The experimental result shows that the proposed system has better location accuracy method comparing with the conventional fingerprint algorithms.
Depresif Hastalarda Serum Kolesterol, Trigliserid Seviyeleri ile intihar Giri ş imi ve Depresyon Aras ı ndaki Ili ş ki

Yap ı lan çal ış malarda dü ş ük serum kolesterol seviyesi ile intihar giri ş imi aras ı nda ili ş kinin oldu ğ u öneri sü-rülmektedir. Amac ı m ı z depresyon tan ı s ı konan hastalarda intihar giri ş imi ile serum serum kolesterol seviyesi ili ş kisini, depresyonun derecesi ile serum trigliserid seviyesi aras ı ndaki ili ş kiyi ş izofreni hastalar ı yla kar-şı la ş t ı rarak ara ş t ı rmak istedik. Hastalarda intihar ı n derecesini intihar giri ş iminde bulunmayanlar (94/122) ve bulunanlar (28/122) olarak de ğ erlendirdik. Dü ş ük kolesterol seviyesi ile intihar giri ş imi aras ı nda anlaml ı (p=0.036) ili ş ki bulunurken, depresyon derecesi ile trigliserid seviyesi aras ı nda anlaml ı (p=(cid:127)0.10) fark bu-lunmad ı . Daha çok depresyonlu hastada dü ş ük kolesterol seviyesi ve patolojik seviyedeki trigliserid seviyelerinin ara ş t ı r ı lmas ı gerekir. de-termine whether cholesterol and triglycerid levels are associated with a history of suicide attempts and depression degree in a depressed sample and control patients with schizophrenia. The degree of suicidally was di-vided two level: no suicidal attempt (94/122), suicidal attempt (28/122). There was a sign ı :ficant association between lower cholesterol levels and increasing attempt of suicidality (p=0.036), no significant association between triglycerid levels and depresson degree (p=0.10). Low cholesterol levels and pathological levels of triglycerid should be further investigated in more depressed sample.
An Ensemble FIR Filtering Framework for Inter-Vehicular Range Estimation Using GNSS Signals

Accurate inter-vehicle range estimation is a critical requirement in Cooperative Positioning (CP) methods. CP methods are preferred over other positioning techniques in location-aware intelligent transportation applications due to increased availability and accuracy of positioning information. In this paper, we propose a new statistical Finite Impulse Response (FIR) filtering framework for estimating the accuracy of inter-vehicle ranges using Global Navigation Satellite System (GNSS) observables. FIR filters have been proven to be better state estimators than traditional Kalman filters in terms of robustness and sensitivity to unknown noise characteristics. However, they are affected by the choice of selecting an optimal value for window size which is usually unknown and involves an intricate procedure to find it. Here, we propose rather a simpler approach to deal with this problem where an ensemble of a priori particles, generated from a Gaussian density function, is used to deal with the window size problem. Only one particle which is closest to current measurement is retained and used in the update step of the filter. The proposed filtering architecture is tested and its enhanced performance is validated using actual field trials data sets.
Outcomes of Single-Dose Empirical Antibiotic Treatment in Children With Suspected Sepsis Implemented in the Emergency Department

Objectives Implementing a single-dose empirical antibiotic (SDEA) strategy at the emergency department (ED) in children with suspected sepsis may improve outcomes. We aim to evaluate the outcomes of the SDEA strategy for children with suspected sepsis at the ED in a tertiary care center in Bangkok. Methods Children who met the predefined checklist screening criteria for suspected sepsis were administered single-dose intravenous cefotaxime 100 mg/kg, or meropenem 40 mg/kg if they were immunocompromised or recently hospitalized. The medical records of children diagnosed with sepsis and septic shock caused by bacterial or organ-associated bacterial infections before and after implementation of the SDEA strategy were reviewed. Results A total of 126 children with sepsis before and 127 after implementation of the SDEA strategy were included in the analysis. The time from hospital arrival to antibiotic initiation was significantly reduced after implementation of the SDEA strategy: median, 241 (110–363) minutes before versus 89 (62–132) minutes after (P < 0.001), with an increased number of patients starting antibiotics within 3 hours of hospital arrival: 42.1% vs 85.0% (P < 0.001). Comparing before and after SDEA implementation, children receiving SDEA had a shorter median duration of antibiotic therapy: 7 (5–13.3) versus 5 (3–7) days (P = 0.001), shorter length of hospital stay: 10 (6–16.3) versus 7 (4–11) days (P = 0.001), and fewer intensive care unit admissions: 30 (23.8%) versus 17 (13.4%; P = 0.036); however, mortality was not different: 3 (2.4%) in both groups. In multivariate analysis, SDEA strategy was the independent factor associated with reduced intensive care unit admission or death. Adherence to SDEA was 91.4%. Single-dose empirical antibiotic was retrospectively considered not necessary for 22 children (11.9%), mostly diagnosed with viral infections afterward. Conclusions Single-dose empirical antibiotic at the ED is an effective strategy to reduce the time from hospital arrival to antibiotic initiation and can help improve outcomes of sepsis in children.
The Situation of Cancer Treatment in Ethiopia: Challenges and Opportunities

Background Less attention is given to cancer treatment and control in Ethiopia. Methods To investigate the challenges and opportunities facing cancer treatment services in Ethiopia. A purposive sampling technique was applied to recruit the study subjects from Black Lion Specialized Hospital Oncology Department. A semi-structured interview guide was used to investigate challenges and opportunities in oncology service in Ethiopia. Data was transcribed and coded by two independent coders and analyzed thematically in reference to the objectives. Results Fifteen professionals from four different disciplines were interviewed on opportunities and challenges facing cancer treatment in Ethiopia. Out of these respondents 3 were senior clinical oncologists while 4 individuals were senior oncology residents. The rest were 2 medical Physicists, 2 radiotherapy technologists and 4 oncology nurses. Majority (80%) of the respondents were males. We demonstrate that the challenges of cancer treatment service in Ethiopia emanate from the patients themselves, the administrating body, the professionals, and the technology limitations. In general, the result of this study was grouped under the following five themes: Customer-related challenges, provider-related challenges, facility-related challenges, technology-related challenges and the opportunities. Conclusions Several assignments are waiting for the policy makers, the professionals, the communities and other concerned bodies to combat the alarmingly growing burden of cancer in Ethiopia. Escalating the awareness of the general population about cancer, expanding well-developed diagnostic and treatment centers, and producing well-trained competent oncology professionals are the forefront challenges in combating cancer in Ethiopia.
Food Insecurity is positively related to Dietary Inflammatory Index in Iranian high school girls.

AIM To determine the association between food insecurity and Dietary Inflammatory Index (DII) in high school girls. METHODS This cross-sectional study was conducted on 525 students aged 14-18 years in northern Iran. Dietary assessment was performed using a validated and reliable 147-food item questionnaire. DII was calculated on the basis of 30 available food parameters from this FFQ based on the standard means. The USDA 18-item standard food security questionnaire was used to assess the food security status. Linear regression was performed to determine the association between DII and food insecurity, with DII considered as an outcome and food security score as an exposure. RESULTS The average age of students was 16.13 ± 0.97 year. Mean BMI and menarche age was 22.64 ± 4.62 kg/m2 and 12.59 ± 1.09 year. The mean value of DII was -0.003 ± 1.72. Food insecurity prevalence was 40.8%. Protein, and vitamin D and B12 intake were lower in the food insecure group (P < 0.05). Energy intake, total fat and saturated fatty acid (SFA) were higher in the highest tertile vs. the lowest tertile of DII (P < 0.05). Carbohydrate, protein, fiber, magnesium, zinc, folate, selenium, vitamin A, B6, and C, thiamin, riboflavin, niacin and tea intake were lower in the highest tertile vs. the lowest tertile of DII (P < 0.05). There was a positive significant association between DII and food security status. CONCLUSION It seems there is an association between DII and food security status. However, further well-designed studies in a different population are suggested.
Spatial distribution and pattern of heavy metals in urban soils of Yogyakarta, Indonesia

Heavy metals contamination is becoming a global problem in urban areas. With that, understanding spatial distribution and pattern of heavy metals in urban soils is a crucial step toward sustainable urban development. This study intends to assess the spatial distribution and pattern of four heavy metals (Pb, Cu, Zn, and Cd) in Yogyakarta City outward in the boundaries of Sleman and Bantul Regencies. In relation, we utilized geostatistical method Empirical Bayesian Kriging (EBK) then correlated to Land Cover/Use data for the spatial analysis of heavy metals concentration. The degree of contamination was quantified using indices - PI (Pollution Index), Igeo (Geo-accumulation Index), and PLI (Pollution Load Index). We show that by analysing the Pb, Cu, Zn, and Cd elements of 168 urban soils samples collected, Yogyakarta City, a densely populated area, serves as a place of heavy metals contamination hotspots. Pb and Cu is posed as moderately contaminated, whereas Zn and Cd is considered as uncontaminated (as majority of Zn and Cd values does not exceed the background values). But in overlapping consideration of four heavy metals contamination, they are classified as moderately contaminated (PLI=1.10). In summary, heavy metals contamination in soils varies as a function of urbanization.
A New Convex Controller for Stabilizing of Two Symmetrical Logistic Maps

In this paper, we focused on the coupled logistic map, which is a system of two symmetrically identical single logistic maps. The complicated dynamics of the generated system, which has a wide range of dynamical behavior, grant it much attention for many applications. First, the existence and uniqueness of this system are investigated, where the analytical technique is utilized to find the parametric condition for the local asymptotic stability of its fixed points. It can be obviously seen that it undergoes Niemark-Sacker and Hopf bifurcation in a small neighborhood of the unique positive fixed point and invariant circle. This has been proven based on bifurcation theory and the center manifold theorem. The behavior of this system is stabilized using two conventional controlling methods, the OGY and the pole-placement. As well as, a new control method is proposed to make such stabilization more easier. The numerical simulations are utilized to demonstrate the analytic results.