Miracle-dz/UniFAR-FTUs huggingface dataset:
DFPS: A Distributed Mobile System for Free Parking Assignment

Cruising for vacant curbside parking spaces causes waste of time, frustration, waste of fuel, and pollution. This problem has been addressed by centralized solutions that perform parking assignments and communicate them to drivers’ smart phones. These solutions suffer, however, from two intrinsic problems: scalability, as the server has to perform intensive computation and communication with the drivers; and privacy, as the drivers have to disclose their destinations to the server. This article proposes DFPS, a distributed mobile system for free parking assignment. DFPS solves the scalability problem by using the drivers’ smart phones to cooperatively compute the parking assignments, and a centralized dispatcher to receive and distribute parking requests to the network of smart phones. The phones of the parked drivers in DFPS are structured in a K-D tree to serve parking requests in a distributed fashion. DFPS removes the computation from the dispatcher and substantially reduces its communication load. DFPS solves the privacy problem through an entropy-based cloaking technique that runs on drivers’ smart phones and conceals drivers’ destinations from the dispatcher. The evaluation demonstrates that DFPS is scalable and obtains better travel time than a centralized system, while protecting the privacy of drivers’ destinations.
1 SPECIAL ISSUE CALL FOR PAPERS: Proteins and Circuits in Memory Section: Reports Title: Persistent increases of PKM in memory-activated neurons trace LTP maintenance during spatial long-term memory storage Authors:

Authors: Changchi Hsieh,1,* Panayiotis Tsokas,1,2,* Alejandro Grau-Perales,3 Edith Lesburguères,3,§ Joseph Bukai,4 Kunal Khanna,4 Joelle Chorny,4 Ain Chung,3,# Claudia Jou,5 Nesha S. Burghardt,5 Christine A. Denny,6 Rafael E. Flores-Obando,1 Benjamin Rush Hartley,1,& Laura Melissa Rodríguez Valencia,2 A. Iván Hernández,4 Peter J. Bergold,1,7 James E. Cottrell,2 Juan Marcos Alarcon,4 André Antonio Fenton,1,3 Todd Charlton Sacktor 1,2,7
Mapping the spectral index of Cassiopeia A: evidence for flattening from radio to infrared

Synchrotron radiation from supernova remnants is caused by electrons accelerated through diffusive shock acceleration (DSA). The standard DSA theory predicts an electron spectral index of p = 2, corresponding to a radio spectral index of α = −0.5. An extension of DSA theory predicts that the accelerated particles change the shock structure, resulting in a spectrum that is steeper than p > 2 (α < −0.5) at low energies and flattens with energy. For Cassiopeia A, a synchrotron spectral flattening was previously reported for a small part of the remnant in the mid-infrared regime. Here, we present new measurements for spectral flattening using archival radio (4.72 GHz) and mid-infrared (3.6 μm) data, and we produce a complete spectral index map to investigate the spatial variations within the remnant. We compare this to measurements of the radio spectral index from L-band (1.285 GHz) and C-band (4.64 GHz) maps. Our result shows overall spectral flattening across the remnant (αR-IR ∼ −0.5 to −0.7), to be compared with the radio spectral index of αR = −0.77. The flattest values coincide with the locations of most recent particle acceleration. In addition to overall flattening, we detect a relatively steeper region in the south-east of the remnant (αR-IR ∼ −0.67). We explore whether these locally steeper spectra could be the result of synchrotron cooling, which provides constraints on the local magnetic field strengths and the age of the plasma, suggesting B ≲ 2 mG for an age of 100 yr, and even B ≲ 1 mG using the age of Cas A, in agreement with other estimates.
A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence

The prevalence of e-commerce applications poses new trust challenges that render traditional Trust and Reputation Management (TRM) approaches inadequate. The first challenge is that TRM is built on evidence (direct or indirect observations) but evidence is becoming increasingly sparse because nowadays users have many more venues to share information. This makes it hard to derive trust models that are robust to attacks such as whitewashing and Sybil attacks. Second, the cost of attacks has reduced significantly due to the widespread presence of bots in e-commerce applications, which tends to invalidate the traditional assumption that majority users are honest. In this paper, we propose a new TRM framework called BEQA, which uses Blockchain to transform multiple disjoint and sparse sets of evidence into a single and dense evidence set. To address the second challenge, we introduce and formulate the cost of Sybil attacks using Blockchain transaction fees. In addition, we make a key observation that existing trust models have overlooked publicity (evidence originating from influencers) that exist in e-commerce applications. Thus, we formulate publicity as a whitewashing deposit such that a higher level of publicity will impose higher cost on Sybil attacks.
Assistance of the psychologist expert in the justice bodies to protect minors in Kosovo

This paper reviews the assistance of a psychologist expert in the justice bodies to protect minors in Kosovo. Research data on the study of normative acts (laws and international acts) regarding the role of the expert psychologist have been analyzed since from September 1999 until 2019. The purpose of this study is to assess the role of an expert psychologist, conforming to national and international legal norms in the protection of minors at the police, prosecution and court organs, where the analysis of these legal norms has been used over the years. In the case of looking at the protection of minors the expert psychologist is involved in all stages of criminal and civil proceedings before the competent authorities. The results show that the role of the psychologist expert in justice bodies in Kosovo is based on national and international law, but in this highly sensitive work Kosovo psychologist experts must have their own association to represent their requests as good as possible to the competent authorities and for the delegation of the name of the expert psychologist at the request of the judge. Moreover, it has been found that until now the determination of the expert psychologist hired has been made with the will of the judge. This paper contributes to existing scientific literature, especially in the fields of criminology, victimology and forensic psychology. Moreover, this paper is likely to contribute to the work of the Association of Psychological Experts, the Victims’ Association and in the work of various minors’ protection associations.
Distributional Impacts of Cost-effective Spatially Homogeneous and Regionalized Agri-Environment Payments. A case study of a Grassland Scheme in Saxony, Germany

Economic analysis of agri-environment schemes (AES) has focused mainly on improving their cost-effectiveness. In contrast, the distributional impacts of AES have received less attention in the economic literature, even though the implementation of cost-effective policies can receive much more support, if their distributional impacts are desirable. We combine cost-effectiveness and distributional considerations and investigate empirically for a case study (a grassland program in Saxony, Germany), if trade-offs or synergies exist between improving the costeffectiveness of an AES and its distributional impacts. We apply an ecological-economic modelling procedure to design two cost-effective AES one scheme with spatially homogeneous payments and one with regionally differentiated payments. To compare the distributional impacts of the schemes we use the criteria of equality, equity and Rawls’ maximin criterion. Our results suggest that substantial cost-effectiveness improvements can be achieved with the spatially differentiated AES. Regarding distributional impacts, on the federal state level and within the largest region, we find a trade-off between equality and cost-effectiveness, whereas equity generally increases with improved cost-effectiveness of the AES, except in the largest region. On Rawls’ maximin criterion the spatially homogeneous payments are preferred, as they lead to the highest net benefits in the poorest region. This shows the importance of analyzing the distributional implications of cost-effective AES on different spatial levels.
Socially Responsible Investment in Malaysia: Behavioural Framework in Evaluating Investorsâ•Ž Decision Making Process

Socially responsible investment (SRI) represents the method of investment that consider the impact (good or bad) of investment decisions on social, ethics, and/or environment within the context of rigorous financial analysis. Despite the evidence of an increasing interest among academics and industry players on SRI, the understanding of the psychological aspect of decision-making behaviour of SRI investors is still incomplete. Currently, no published evidence has been found in the context of Malaysian investors‘ decision – making behaviour regarding SRI. Thus, this study aims to examine the role of intention, attitude, subjective norms, perceived behavioural control and moral norm in explaining SRI behaviour by investors in Malaysia. The underlying framework is the Theory of Planned Behaviour (TpB) that has been modified to incorporate moral norm as an additional explanatory variable. Studies that apply TpB in their measurement of behaviour indicate a mix of explanations for the relationship of constructs (i.e. impact of attitude and moral norm) that influence behaviour through intention which warrant further examinations. Previous studies on SRI are extended by examining the role of intention in improving the relationships of TpB‘s attributes on behaviour. This study uses Structural Equation Modelling (SEM) to ascertain the causal relationships between the variables and whether these relationships could be improved by intention as a mediator. The results based on a questionnaire survey of Malaysian investors suggest that attitude, subjective norm and moral norm have positive effect on intention which in turn positively affects behaviour towards SRI. The relationship for attitude, subjective norm, and moral norm to behaviour is improved significantly by intention as a mediator. Based on squared multiple correlations (R2), it is found that the final structural model could explain 46% of the variance in intention and 50% of the variance in behaviour. These results suggest that, together with social, ethical and environmental issues (SEE) and financial goals, SRI providers and policy makers should also consider the influence of social pressure from investors‘ friends and relatives in their SRI decision making. Investors‘ personal standards are also found to influence the intention and behaviour to invest in SRI. Furthermore the results of this study yielded critical information and insights that will enable Malaysian authorities as well as fund management companies to launch effective marketing strategies and develop SRI products.
Machine-annotated Rationales: Faithfully Explaining Text Classiﬁcation

We propose an approach to faithfully explaining text classiﬁ-cation models, using a speciﬁcally designed neural network to ﬁnd explanations in the form of machine-annotated rationales during the prediction process. This results in faithful explanations that are similar to human-annotated rationales, while not requiring human explanation examples during training. The quality of found explanations is measured on faithfulness, quantitative similarity to human explanations, and through a user evaluation.
Improving Reader Motivation with Machine Learning

This thesis focuses on the problem of increasing reading motivation with machine learning (ML). The act of reading is central to modern human life, and there is much to be gained by improving the reading experience. For example, the internal reading motivation of students, especially their interest and enjoyment in reading, are important factors in their academic success. There are many topics in natural language processing (NLP) which can be applied to improving the reading experience in terms of readability, comprehension, reading speed, motivation, etc. Such topics include personalized recommendation, headline optimization, text simplification, and many others. However, to the best of our knowledge, this is the first work to explicitly address the broad and meaningful impact that NLP and ML can have on the reading experience. In particular, the aim of this thesis is to explore new approaches to supporting internal reading motivation, which is influenced by readability, situational interest, and personal interest. This is performed by identifying new or existing NLP tasks which can address reader motivation, designing novel machine learning approaches to perform these tasks, and evaluating and examining these approaches to determine what they can teach us about the factors of reader motivation. In executing this research, we make use of concepts from NLP such as textual coherence, interestingness, and summarization. We additionally use techniques from ML including supervised and self-supervised learning, deep neural networks, and sentence embeddings. This thesis, presented in an integrated-article format, contains three core contributions among its three articles. In the first article, we propose a flexible and insightful approach to coherence estimation. This approach uses a new sentence embedding which reflects predicted position distributions. Second, we introduce the new task of pull quote selection, examining a spectrum of approaches in depth. This article identifies several concrete heuristics for finding interesting sentences, both expected and unexpected. Third, we introduce a new interactive summarization task called HARE (Hone as You Read), which is especially suitable for mobile devices. Quantitative and qualitative analysis support the practicality and potential usefulness of this new type of summarization.
Various Factors Related to The Quality of Living Pulmonary Tuberculosis Patients

A low quality of life has still experienced by many pulmonary tuberculosis (TB) sufferers. The quality of life of patients with pulmonary TB is influenced by many factors that differ for each patient depending on economic and socio-cultural conditions in the area. This study was purposed to find out what factors were associated with the quality of life for people with pulmonary TB by using the Health Promotion Model from Pender. A cross-sectional design was used in this study. The sample size was 20 respondents. Independent variables include gender, age, BMI; education, occupation, marital status, total income; anxiety and depression; assessment of the benefits of action; assessment of barriers to action; behavior which is in accordance with health promotion. While the dependent variable was quality of life. The instruments used include demographic data, K10, barrier modification questionnaire, benefit modification questionnaire, and lifestyle profile modification questionnaire, and SF-36v2. The analysis used a Spearman rank with a significance level of I± = 0.05. The results showed that many pulmonary TB sufferers had a low quality of life, mainly from the physical domain (17 people) and mental domain (14 people). Only the age variable (p = 0.027) was related to the quality of life of patients with pulmonary TB from the mental domain. However, these factors were not related to the quality of life of patients with pulmonary TB. The theory of HPM has many factors, other researchers can use other factors from HPM to determine the quality of life for people with pulmonary TB. Primary healthcare can improve health promotion patterns in the program to eradicate and prevent pulmonary TB.
PROLIFERATE: An adaptable framework to evaluate participatory research products

Background: Participatory research (PR) – the practice of involving stakeholders in research processes – is growing in prominence in health research because it can enhance the impact of research and the translation of research-based knowledge. Yet, the literature indicates that the products of PR studies are rarely evaluated empirically to track, demonstrate, and expand their claimed effectiveness and impact. This lack of measurement tools and frameworks can limit the effectiveness of knowledge translation (KT). Methods: We introduce a framework for evaluating the products of PR called PROLIFERATE. We use an inductive combination of formative and summative evaluation methods to pilot test the framework on a Frailty PR communication product (a video) to determine the methods’ functionality.Results: PROLIFERATE demonstrates adeptness for evaluating barriers and enablers of PR product uptake, effectiveness, and impact. It can identify ways to address barriers by assessing knowledge user perspectives on the comprehensibility of the product, emotional resonance, motivation to change, and future accessibility. Conclusions: PROLIFERATE can enable longitudinal and cross-sectional measurement of PR products in implementation and integrated KT efforts. It can evaluate and track the effectiveness and impact of different types of PR products in a situational responsive manner which compares users, platforms, and other factors in a replicable way.
MPPT Circuit Using Time Exponential Rate Perturbation and Observation for Enhanced Tracking Efficiency for a Wide Resistance Range of Thermoelectric Generator

The thermoelectric generator (TEG) stands out among many energy harvesters due to its simple structure, small size, rich thermal energy, and the absence of pollution and noise. However, previous studies have rarely probed into the influence of TEG internal resistances on extracting maximum power from TEGs, and the tracking of efficiency is limited. By analyzing the relationship between the tracking efficiency and the TEG internal resistances, a time exponential rate perturbation and observation (P&O) technology is proposed to achieve maximum power point tracking (MPPT) for a wide resistance range of the TEG. Using the time exponential rate P&O, the MPPT circuit observed the power change by comparing the positive-channel metal-oxide semiconductor (PMOS) on-time and perturbs the power by adjusting the negative-channel metal-oxide semiconductor (NMOS) on-time exponentially. The MPPT circuit was implemented in a 110 nm complementary metal-oxide semiconductor (CMOS) process. The tracking efficiency maintained a high level from 98.9 to 99.5%. The applicable range of the TEG resistance was from 1 to 12 Ω, which reflects an enhancement of at least 2.2 times.
SNOMED CT Disease Hierarchies and the Charlson Comorbidity Index (CCI): An analysis of OHDSI methods for determining CCI

The Charlson Comorbidity index (CCI) is one of the most widely used scores for predicting mortality and as a proxy covariate for health status in observational studies. The current quality and availability of electronic health record (EHR) data and the constantly evolving OMOP CDM has made the calculation of the CCI score for large cohorts easier than at any point since its first introduction in 1987. This study compared the OHDSI method used to calculate CCI, which uses SNOMED-CT codes, to the Quan et al (2005) method for ICD-10-CM era codes. Results demonstrate that these two methods can result in different CCI scores for the same cohort of patients. Further research is necessary to understand whether these differences cause practical issues in prediction of mortality and morbidity
General Controlled Sulfidation toward Achieving Novel Nanosheet‐Built Porous Square‐FeCo2S4‐Tube Arrays for High‐Performance Asymmetric All‐Solid‐State Pseudocapacitors

A significant advance toward the design and fabrication of a novel hierarchical supercapacitor electrode consisting of FeCo2S4‐tubes with well‐defined square cross‐section and intersecting nanosheets built porous shells on a 3D porous Ni backbone via controlled sulfidation is reported. This general method allows template‐free synthesis of metal sulfides tubular structures with polygonal cross‐sections and also fine control over the nanostructure leading to both maximized porosity and saturation sulfidation. New insights into concentration and time dependent sulfidation reaction kinetics are proposed. The FeCo2S4 electrode achieves a specific capacitance reaching 2411 F g‐1 at 5 mA cm‐2 and good rate capability, which are superior over those for nanotube arrays of other ternary transition metal sulfides. This is attributed to rich redox reactions, the highly porous but robust architecture as well as high electrical conductivity. Especially such porous shells effectively avoid “dead volume”, thus improve the utilization ratio of the electrode material. Asymmetric solid‐state device applying the FeCo2S4 as positive electrode and N‐doped graphene hydrogel film as negative electrode has a high cell voltage of 1.6 V and thus delivers considerably higher energy density of 76.1 W h kg‐1 (at 755 W kg‐1) than those reported for similar devices.
RGS4 and GAIP are GTPase-activating proteins for G q (cid:97) and block activation of phospholipase C (cid:98) by (cid:103) -thio-GTP-G q (cid:97)

RGS proteins constitute a newly appreciated and large group of negative r egulators of G protein s ignaling. Four members of the RGS family act as GTPase-activating proteins (GAPs) with apparent specificity for members of the G i (cid:97) subfamily of G protein subunits. We demonstrate here that two RGS proteins, RGS4 and GAIP, also act as GAPs for G q (cid:97) , the G (cid:97) protein responsible for activation of phospho- lipase C (cid:98) . Furthermore, these RGS proteins block activation of phospholipase C (cid:98) by guanosine 5 (cid:42) -(3- O -thio)triphosphate-G q (cid:97) . GAP activity does not explain this effect, which appar- ently results from occlusion of the binding site on G (cid:97) for effector. Inhibitory effects of RGS proteins on G protein-mediated signaling pathways can be demonstrated by simple mixture of RGS4 or GAIP with plasma membranes. The (cid:97) subunits of signal-transducing, heterotrimeric G proteins are molecular switches and clocks, and these functions are imparted to the proteins by conformational changes that result from the binding and hydrolysis of GTP. G (cid:97) proteins are inactive as GDP-bound species because of reduced affinity (compared with the GTP-bound protein) for downstream effectors and,
The Intervention of Effective Playdough Activity on The Increase of Cognitive Development of Autistic Children

Dandruffis a most common chronic scalp problem assigned by flaking of the skin of the scalp.Although dandruff isn’t contagious and not serious it may be embarrassing and treatment of it difficult.The goal of this project is to assess epidemiology and effectiveness of dandruff treatment among medical students. A cohort study (retro prospective) was conducted Tikrit university college of medicine from 28th November 2018 to 1st April 2019. sample size was 72 cases are selected randomly (simple random). The data was collected by using a questionnaire which was administered by interviewersAmong the dandruff survey most of them were females and from20. 1_23 year, there is a strong association between dandruff and family history which represent (62.5%) of cases. (68%) of cases were rural residence. Absolutely there was no refuse for treatment. Regarding to ketoconazole response, (41.66%) were responded in the first week, while (38.88%) were non responded to the ketoconazole this may belong to poor compliance and/or other medical conditions. In relation to seasonal incidence (84.72%) occur in winter, while there is no incidence in autumn. Conclusions: The oily scalp was the main type that affected by dandruff (65.3%). Also there was no relationship between number of showering and development of dandruff. Other than ketoconazole (56.94%) of cases were responded to cosmetics.