Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality of service‐aware adaptive radio resource management based on deep federated Q‐learning for multi‐access edge computing in beyond 5G cloud‐radio access network

Due to the exponential increase of mobile data services, both industry and academia have turned their focus for improving the quality of service (QoS) provisioning for the beyond 5G (B5G) networks. In this paper, an adaptive QoS‐aware resource allocation scheme is developed for multi‐tenant and multi‐service cloud‐radio access networks (C‐RAN) mobile edge computing scenario with the aim of maximizing network performance over time. First, a multi‐user C‐RAN resource allocation architecture for task computation and result collection is developed, where edge nodes can take on user equipments' (UEs) computation‐intensive activities. Then deep reinforced learning (DRL) based multi‐user resource allocation scheme, that is, deep federated Q‐learning (DFQL) is developed for determining the best resource allocation policy. To maximize the validation accuracy of the global model in the FL while satisfying resource restrictions, this technique learns resource allocation immediately in contrast to the present allocation mechanisms. A realistic dataset is built for assessing the proposed method using 5G experimental prototype based on open air interface (OAI). At last, the effectiveness of the proposed scheme is demonstrated, where the performance of the scheme is compared with the existing resource allocation techniques.
Why people hesitate to help: Neural correlates of the counter-dynamics of altruistic helping and individual differences in daily helping tendencies

Recent psychological and neuroimaging studies on altruism–egoism dilemmas have promoted our understanding of the processes underlying altruistic motivation; however, little attention has been paid to the egoistic counter-dynamics that prompt hesitancy to help. These counter-dynamics may involve the construction of reasons not to help based on contextual elaboration and explain individual differences in the tendency to help others in daily life. In this functional magnetic resonance imaging (fMRI) study, we explored the neural correlates of altruism–egoism dilemmas during empathy-driven helping decisions, with particular attention to the counter-dynamics related to individual helping tendency traits. We used two context-rich helping decision scenarios. In the empathy dilemma (Emp) scenario, empathy-driven motivation to help a poor person was associated with a cost, whereas in the economic-dilemma (Eco) scenario, self-beneficial motivation to help a non-poor person was associated with a cost. Our results showed activation of the right anterior prefrontal cortices, supramarginal gyrus, and posterior cingulate cortex (PCC) for the altruism–egoism dilemma (i.e., Emp > Eco). A significant negative effect of the helping tendency trait score was observed on PCC activation; interestingly, this effect was observed for both Emp and Eco dilemmas. The identified neural correlates of altruism–egoism dilemmas appear to be related to the construction of decision reasons based on contextual elaboration in naturalistic situations. In contrast to the classical view, our results suggest a two-stage model that includes an altruistic helping decision followed by counter-dynamics to determine the individual helping tendency.
Analysis of variance in complex experimental designs

An apparatus for forming heat exchanger turbulators from a roll of sheet metal strip stock employs two forming wheels with generally triangularly shaped teeth meshing with one another and one roll being driven about a fixed axis and the other roll being journalled on a second axis parallel to the first and disposed in floating relation thereto with means for adjustably biasing the second roll toward the first. A special tooth on each roll is used to form the turbulator handle and cut-off blades may be included to automatically cut the formed strip into individual turbulators.
Category of Inmates, Duration of Incarceration and Depression as Determinants of Suicidal Ideation among Prison Inmates in Ibadan, Nigeria

Suicidal ideation is the thought of one taking one’s life or thinking about suicide without actually making plans to do so. It is currently one of the major problems in the society. Statistics have shown that the rate of suicide has been on the increase especially among prison inmates worldwide. In this study, therefore, the influence of category of inmates, duration of incarceration and suicidal ideation among prisons in Ibadan, Nigeria was examined. Two hundred and ninety-seven inmates (290 males and 7 females) in Agodi prison in Ibadan were accidentally sampled. A structured questionnaire consisting of socio-demographic, depression (α= 0.81) and suicidal ideation scales (α= 0.86) was used for data collection. Data was analysed using independent t-test and analysis of variance at p= 0.05. Results show that category of inmates had a significant influence on suicidal ideation [t(295) = 4.846, p <0.05]. The convicted inmates scored higher on suicidal ideation (M =29.00) than those awaiting trial (M = 23.45). Also, depression had a significant influence on suicidal ideation [t(295) = 2.36; p <0.05]. Inmates who are depressed scored higher on suicidal ideation (M = 25.98) than inmates who are low on depression (M = 22.93). However, duration of incarceration in prison had no significant influence on suicidal ideation among the inmates sampled. The study shows that rather than the duration of incarceration in prison, category of inmates and depression were the most influential factors that influence suicidal ideation among the inmates in Agodi prison in Ibadan, Nigeria. Policy implications are proffered.
Transarterial Embolization of Ruptured Pancreaticoduodenal Artery Pseudoaneurysm Related to Chronic Pancreatitis

We presented a 67-year-old woman with lightheadedness, diaphoresis, and acute epigastric and right hypochondrium pain, with a past medical history including stage 2 essential hypertension, chronic ischemic cardiomyopathy, and class 1 obesity. An abdominal contrast-enhanced CT scan showed an extensive hematoma (3 × 4 cm2 in size) located intra-abdominally, adjacent to the duodenojejunal area, with hyperdensity around the duodenum, positioned inferior to the pancreas (30–59 HU). Moreover, the CT scan also revealed an enhancing lesion as a pseudoaneurysm of the inferior pancreaticoduodenal artery, measuring 5 × 8 × 8 mm3 with active bleeding and associated hematoma. Following these investigations of the abdominal area, a decision was made to proceed with an endovascular intervention within the interventional radiology department. With the patient under conscious sedation, via a right common femoral artery approach, the superior mesenteric artery was catheterized. While injecting the contrast agent to obtain a better working projection, the pseudoaneurysm ruptured, and acute extravasation of the contrast agent was noted, followed by injection of a mixture of 1 mL Glubran 2 with 2 mL Lipiodol until complete obliteration of the pseudoaneurysm was obtained. The patient was hemodynamically stable at the end of the procedure and was discharged 6 days later in a good condition without active bleeding signs.
Thermal activation effects in CoCrPtTa media due to stacking faults

We report magnetic measurements made on two CoCrPtTa thin film media, which were sputter deposited in identical conditions onto either CrMn or NiAl/CrMn underlayers grown on glass substrates. This produced films with [112~0] and [101~0] preferred orientations respectively. The films had stacking fault densities of 8/spl plusmn/1% and 13/spl plusmn/1% respectively. Increased magnetic viscosity and switching at low fields in the switching field distributions were observed which correlates well with the level of FCC-like regions. We find that the energy barriers to reversal in these films are dominated by the anisotropy field distribution rather than the distribution of grain-sizes. Furthermore, it is clear that even relatively low levels of stacking faults cause significant levels of thermally activated magnetization reversal which may cause reduced thermal stability of written information.
Ab initio calculations of phonon properties and spectra in condensed matter

Ab initio calculations of phonon properties and spectra in condensed matter Shauna M. Story Chair of the Supervisory Committee: Chair John J. Rehr Physics Phonons, the quantization of atomic vibrations, are important in studying many solid state properties, ranging from Raman, infrared, and neutron scattering to thermal expansion, specific heat, and heat conductivity to electrical resistivity and superconductivity. Generally, modeling the interatomic forces and vibrational modes of a given system require costly computer simulations, though once calculated, they provide the means to a wide variety of phonon properties. Our goal is to enable easy access to these phonon properties and to do this, we have developed a framework for easily automating the workflows involved in interfacing a phonon mode calculation with the analysis tools for determining such physical properties. This was originally implemented with the ai2ps (ab initio to phonon spectra) tool, meant solely for the calculation of vibrational properties. It has since greatly expanded in scope and capabilities to a general scientific workflow tool called Corvus, which was started with the eventual goal of collecting all our various scientific workflow efforts—phonon properties, optical properties, and so on—into a single hub. We present here both the evolution of ai2ps into the Corvus project and the phonon properties simulated, including Debye–Waller factors, phonon contributions the electron self–energy and spectral function, vibrational free energy, thermal expansion, and heat capacity.
Adaptive subspace algorithm for direction finding and tracking

This paper presents an adaptive subspace-based method for the direction of arrival estimation and the tracking of multiple sources. This method relies on a linear operator, referred to as the Propagator, which only exploits the linear independency of the source steering vectors, and which allows the determination of the source and the noise subspaces without any eigendecomposition ofthe cross-spectral matrix of the received signals. Two gradient-based adaptive algorithms are here proposed for the estimation of the Propagator, and then of the source and the noise subspaces. A theoretical analysis of the behavior of these two algorithms in a nonstationary environment is given. Simulations exhibit the good performances of the proposed algorithms for tracking moving sources.
Prevalence of Diabetes Mellitus among individuals with chronic kidney disease: systematic review and meta-analysis

BACKGROUND: Diabetes Mellitus (DM) is currently considered a global epidemic, with alarming estimates for the coming years on all continents, with Chronic Kidney Disease (CKD) as one of its main consequences when a timely diagnosis is not made. OBJECTIVE: The objective of this study is to estimate the prevalence of DM among individuals diagnosed with CKD by means of a systematic review and meta-analysis. METHODS: A systematic review was carried out in the main free-access databases such as Pubmed (Medlaine), Lilacs, Scopus and Scielo. Two researchers selected the articles, extracted the data and evaluated the quality. The collected data were evaluated using a random effects model. RESULTS: Of 994 articles, 17 studies were included that looked at three continents. The group prevalence of DM among individuals with CKD (95% CI) was 29% (23-35%), with heterogeneity I2 = 99,86% and p = 0.00, which was not explained by meta-regression and subgroups. CONCLUSIONS: The present study confirmed the high prevalence of DM among individuals with CKD, especially among those with end-stage renal disease, demonstrating the need for early diagnosis and timely treatment of DM and new studies in this area, considering the social and economic impact of these diseases worldwide.
Can Blockchain Payment Services Influence Customers’ Loyalty Intention in the Hospitality Industry? A Mediation Assessment

This study analyzes the impact of blockchain mobile payment services on customer loyalty intention through the mediating role of service quality, privacy and security, and customer satisfaction in the Bangladeshi hospitality industry. Data were collected through a survey using a structured questionnaire from 326 respondents who stayed in 4- and 5-star hotels in Chattogram and Cox’s Bazar. Respondents’ (N = 326) opinions were analyzed employing Smart PLS software. The results ensure that privacy and security and customer satisfaction mediate the blockchain-based mobile payment services and loyalty intention relationship. However, service quality does not mediate that relationship. The findings of the mediation effect of privacy and security and customer satisfaction are a unique contribution to the blockchain literature in the field of the hospitality industry. Hoteliers are encouraged to employ appropriate blockchain mobile payment services for better quality customer service and ensured safety and security, and in turn, loyalty intention.
Analysis on modeling accuracy of GM(1,1) based on new weakening operators

Improvement of the smoothness of data series is one of the effective ways of enhancing the forecast accuracy of GM(1,1). Based on analyzing the researches of the present weakening buffer operators thoroughly,some new weakening buffer operators are established according to the three axioms of buffer operators and the principle of prior using new information.Meanwhile,they are proved in theory.The problem that there are some contradictions between quantitative analysis and qualitative analysis in pretreatment for vibration data sequences is resolved effectively.The availability of the kind of new weakening buffer operators is verified by an example.
Molecular Clouds in the Extreme Outer Galaxy

We present observation of 11 molecular clouds with kinematic Galactocentric distances of 18-28 kpc. The most distant is approximately 10 kpc farther from the Galactic center than any previously known and apparently lies beyond the edge of the optical disk. All are associated with much larger H I concentrations, with typical offsets of approximately 40 pc from the H I peaks. CO observations with the CfA 1.2 m and National Radio Astronomy Observatory (NRAO) 12 m telescopes indicate typical sizes of 20-40 pc, velocity widths of 1-3 km/s, and kinetic temperatures of 10-25 K. They apparently have lower CO luminosities than clouds near the solar circle with similar properties. Some may have associated infrared sources, but owing to the great distances of the clouds, the only general conclusion that can be made about star formation is that stars earlier than B1 are absent. The apparent scarcity of clouds like these indicates that their contribution to the mass of the ISM beyond R = 18 kpc is not significant.
Community-Oriented Policing and Violent Crime: Evidence From the Los Angeles Community Safety Partnership

Over the past decade, the Los Angeles Police Department has experimented with a unique model of community-oriented policing called the Community Safety Partnership (CSP). The program places a dedicated set of CSP officers in select housing developments and neighborhoods to engage with residents to better understand and ultimately address the root causes of crime. This study examined the first four waves of the program to assess whether, and the extent to which, the program reduced violent crime. Results reveal significant variation in program effects, with the first wave yielding crime reductions while subsequent waves experienced little to no change in violent crime. Supplemental analyses suggest that the null results for the final three waves of the program were not confounded by increases in crime reporting and reveal that crime reductions following the program’s first wave were not achieved through increases in traditional enforcement (e.g., arrests).
Search for the rare charged decay kaon->pion neutrino antineutrino

An experimental search for the flavour-changing weak neutral current decay J(+ -+z)j7 was performed in the + kinematic energy range 60 < T+ < 100 MeV. The Standard Model theo retical prediction for the branching ratio is within the bounds (0.5—4.5) x 10—10. An observation at a rate significantly in excess of the prediction would be an indicator of new physics. The experiment was also sensitive to decays of the type J(+ +XO , where X° is a weakly interacting massive neutral particle with mass in the range 150 < Mxo < 260 MeV/c 2. The search was carried out at Brookhaven National Laboratory, using an intense beam of positively charged kaons. A specialized detector selected candidate K+ — lr+vE7 decays among a large background of other processes by identifying K+ decays at rest, measuring the momentum, kinetic energy and range of the + , recording its decay sequence for positive identification and vetoing photons from background processes. Data were collected in two different periods in 1989 and 1991. After analysis of the 1989 data set, no events were observed, allowing a 90% confidence level upper limit of 1.7 x 10—8 to be set for the branching ratio. This is a factor of 55 improvement over the previous experiment using the same region of phase space. Studies performed after the analysis was completed led to an estimated expected background of less than one event. In the 1991 data set, atotalof4 events were observed, with an estimated background of less than two events. The studies leading to this estimate were performed before the final analysis was carried out, resulting in reduced bias. However, uncertainties in the background estimate precluded the identification of the source of the events. Therefore, an upper limit of 5.0 x 108 was set for the branching ratio, based on the observation of 4 events.
A Case Report of Bacteremia Due to a Symptomatic and Rare Lactobacillus Rhamnosus Infected Splenic Hematoma and the Ultimate Treatment Model

We present the case of a 76-year-old male who presented to our hospital with a rare infection of Lactobacillus rhamnosus. The patient had a suspected urinary tract infection (UTI) secondary to a chronic indwelling catheter; however, when symptoms did not improve on standard therapy, blood cultures revealed the growth of L. rhamnosus. The patient was found via imaging to have a concurrent infectious splenic hematoma, and aspiration confirmed the presence of L. rhamnosus. The patient resided in an area nursing home and was a poor historian; however, it is conceivable that this infection was acquired via diet or from normal gut flora as the patient did not present on probiotic supplementation. In this case report, we present both pharmaceutical and interventional treatment strategies as well as a timeline of treatment for this rarely-seen infection.
In situ lattice measurement of the bcc phase boundary in Mg on the principal shock Hugoniot

We report on nanosecond resolution lattice measurements of shock-compressed Mg in the hcp and bcc phases between 12 and 45 GPa. X-ray diffraction signals consistent with a compressed bcc lattice were captured above a shock pressure of 26.2 ± 1.3 GPa. Our results are in agreement with the phase boundary calculated by Moriarty and Althoff using the generalized pseudopotential theory in the pressure and temperature region intersected by the principal shock Hugoniot.
Emergence of antiferromagnetic ordering in Mn clusters

First-principles density-functional-theory investigations of small Mn{sub n} (n=2-7,13) clusters reveal a competition between ferromagnetic and antiferromagnetic ordering of atomic magnetic moments. For smaller sizes (n{<=}6), this competition results in a near degeneracy between the two types of orderings, whereas AF arrangements are clearly favored for larger clusters. The calculations thus predict a size-dependent transition in the magnetic ordering of Mn clusters.
A MAXIMUM LIKELIHOOD PROCEDURE FOR REGRESSION WITH AUTOCORRELATED ERRORS

The widely used Cochrane-Orcutt and Hildreth-Lu procedures for estimating the parameters of a linear regression model with first-order autocorrelation typically ignore the first observation. An alternative maximum likelihood procedure which incorporates the first observation and the stationarity condition of the error process is proposed in this paper. It is similar to the Cochrane-Orcutt procedure, and appears to be at least as computationally efficient. This estimator is superior to the conventional ones on theoretical grounds, and sampling experiments suggest that it may yield substantially better estimates in some circumstances.
Towards a new multi-modality campus: unboxing Pandora’s box

ABSTRACT Changing times force us to rethink our academic policies in higher education institutions. Traditional narrow views on students coming to campuses might be problematic for full inclusion. In this paper, we present an innovative model for student inclusion with the goal of producing a new framework for practice in higher education. We suggest re-examining the interactions between student characteristics while taking them into account as a whole and adopting a new holistic view of their identity-derived needs. The New Multimodality Diversified Campus (NMDC) model takes into account multiculturism, multiple technological literacies, multiple identities, multilingualism, multiple religions, and multiple disabilities. This model, based on multiple pedagogies, multiple curricula, multiple evaluations and multiple policies, serves as a compass to reach our desired destination, which is a fully inclusive campus. We present new observations about Universal Design for Learning (UDL) as a guiding tool that can be used in higher education, contextualising it in the framework of our model.
Diverse Dispersion Effects and Parameterization of Relative Dispersion in Urban Fog in Eastern China

Understanding cloud droplet relative dispersion is critical for mitigating the confounding effect of aerosol‐cloud interactions in the simulation of the global climatic patterns. Diverse dispersion effects, meaning that the correlation between relative dispersion (ε) and fog droplet number concentration (Nf) changes from positive to negative as Nf increases at a fixed liquid water content (LWC) condition, were found in the urban fog observed during the winters of 2017 and 2018 in Nanjing, China. The dominant microphysical processes driving the diverse dispersion effects were found to be activation, condensation, deactivation, evaporation, and sedimentation. The critical first bin (diameter range of 2–4 μm) strength and volume‐mean diameter (Dv) for classifying the diverse dispersion effects are 0.3–0.4 and 10–12 μm, respectively. The mean dispersion offset (DO) was −27.6% for weakening the Twomey effect and 27.5% for enhancing it. Assuming the Gamma distribution for the fog droplet number size distribution, the mean dispersion effect was significantly underestimated at DO < 0. Based on the measured nonmonotonic relationship between ε and Dv, we establish ε parameterization using a Nelder function, which can be applied to the diverse dispersion effects. The mean deviation for diagnosing DO was less than 10% for DO > 0 and less than 50% for DO < 0. These results could shed new light on understanding the diverse dispersion effects, which cloud help reduce the uncertainties in the simulation of aerosol‐cloud interactions.