Miracle-dz/UniFAR-FTUs huggingface dataset:
Does Social Media Behaviors Reflect Users’ Anxiety

Anxiety has been a common mental health disorder that affects many people, especially young adults, but it is often undetected or untreated. Meanwhile, mental health professionals and services available are insufficient for the assessment and treatment of mental illnesses, including anxiety, due to cost, availability, and other factors. Therefore, there is an urgent need to develop new approaches for mental healthcare services. Considering that the number of young adults using social media has increased significantly in the last decade, data from social media activities could possibly be a new approach for individual’s mental health assessment. In this study, we recruited 95 participants and examined their Twitter activities to learn if young adults’ social media activities are relevant to their anxiety level. Twitter activities were assessed between two groups of users, namely, those participants who reported symptoms, and participants reporting few or no anxiety symptoms. Our preliminary results show that certain social media behaviors differ for individuals that report anxiety symptoms and those with less or no symptoms of anxiety. Results from this study could be beneficial for both researchers and mental health professionals as a supplemental source of information and could potentially provide a new approach for mental health assessment and treatment in the future.
seed-fruit relationships in fleshy fruit species: Role of hormones. a review Relación semilla-fruto en frutos carnosos: Rol de las hormonas. Una revisión

Seeds are known to have significant biological importance in nature, and they have high economic value in agriculture. This review discusses the physiological, biochemical, and hormonal aspects involved in the seed-fruit relationship, highlighting the main implications that seeds have on fruit set and growth, development, and abscission of some fleshy fruits. Fleshy fruits, with the exception of some parthenocarpic species, require pollination and double fertilization for seed formation. This contributes to the stimulation of hormone synthesis for auxins, gibberellins, cytokinins, and brassinosteroids. These hormones are required for seed formation and, in turn, for fruit development; and they determine fruit set, final fruit size, fruit shape and quality characteristics in some fruits. This knowledge is necessary for successful management of the cultivation of species producing fleshy fruits.
Computer-Project-Ontology Construction, Validation and Choice of Knowledge Base

— The ontology design has developed within the framework of approaches of acquisition and capitalization of knowledge. In this case, we are talking about the design of the domain ontology which models the knowledge of a particular domain whose bounded terms are specified, mostly coming from controlled vocabularies. This ontology makes it possible not to encroach on another field of expertise. This has the advantage of being reused for applications designed within a defined domain. In this paper, we propose domain ontology(C-P-Onto: Computer-Project-Ontology) to represent knowledge in the field of computers projects. "Protégé" tool is the most popular and widely used tool for ontology development. Thus, we use this device for developing, validating and questioning the proposed ontology. In order to test it in a real field, the "HAL" will be applied as our knowledge base.
Automated Requirements Engineering Framework for Agile Development

—Requirements engineering has been established as a critical success factor for software projects. On the other hand, most requirements documents are often written in natural language; often prone to structure errors and inconsistent semantic, thereby, exposing the documents to misunderstanding arising from undue misinterpretations. This paper first proposes a framework to automate requirements engineering activities with focus on modelling while equally articulating the strategies and work plan for the implementation and evaluation.
WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America

Abstract. Understanding the differences between regional simulations of land-atmosphere interactions and near-surface conditions is crucial for a more reliable representation of past and future climate. Here, we explore the effect of changes in the model's horizontal resolution on the simulated energy balance at the surface and near-surface conditions using the Weather Research and Forecasting (WRF) model. To this aim, an ensemble of twelve simulations using three different horizontal resolutions (25 km, 50 km and 100 km) and four different Land Surface Model (LSM) configurations over North America from 1980 to 2013 is developed. Our results show that finer resolutions lead to higher surface net shortwave radiation and maximum temperatures at mid- and high latitudes. At low latitudes over coastal areas, an increase in resolution leads to lower values of sensible heat flux and higher values of latent heat flux, as well as lower values of surface temperatures and higher values of precipitation and soil moisture in summer. The use of finer resolutions leads then to an increase in summer values of latent heat flux, convective and non-convective precipitation and soil moisture at low latitudes. The effect of the LSM choice is larger than the effect of horizontal resolution on the near-surface temperature conditions. By contrast, the effect of the LSM choice on the simulation of precipitation is weaker than the effect of horizontal resolution, showing larger differences among LSM simulations in summer and over regions with high latent heat flux. Comparison between observations and the simulation of daily maximum and minimum temperatures and accumulated precipitation indicates that the CLM4 LSM yields the lowest biases in maximum and minimum mean temperatures, but the highest biases in extreme temperatures. Increasing horizontal resolution leads to larger biases in accumulated precipitation over all regions particularly in summer. The reasons behind relate the partition between convective and non-convective precipitation, specially noticeable over western US.
SUPPLEMENT TO “MECHANISM DESIGN WITH AFTERMARKETS: CUTOFF

IN THIS APPENDIX, I extend and discuss the characterization of cutoff rules from Theorem 1. In particular, I show that cutoff rules are uniquely pinned down by requiring implementability for a sufficiently large set of aftermarkets and prior distributions. I let A and F denote an abstract set of possible aftermarkets and prior distributions, respectively. For example, A may include various versions of a post-mechanism game differing in parameters of the bargaining protocol and characteristics of third-party players, or different equilibria of the same aftermarket game. I look at the case N = 1 to simplify exposition (hence drop the subscripts).
The Classification of EEG-based Winking Signals: A Transfer Learning and Random Forest Approach

– Brain Computer-Interfaces (BCI) offers a means of controlling prostheses for neurological disorder patients owing to their inability to control such devices due to their inherent physical limitations. More often than not, the control of such devices exploits the Electroencephalogram (EEG) signals. Nonetheless, it is worth noting that the extraction of the features is often an arduous task. The use of Transfer Learning (TL) has been demonstrated to be able to mitigate the issue. However, the employment of such a method towards BCI applications, particularly with regards to EEG signals are limited. The present study aims to evaluate the efficacy of different TL models in extracting features for the classification of winking. The extracted features are classified utilizing an optimized Random Forest
Cavitation‐resistant junipers cease transpiration earlier than cavitation‐vulnerable oaks under summer dry conditions

Ashe juniper (Juniperus ashei Buchholz) and escarpment live oak (Quercus fusiformis Small) are two of the most common woody species of the Edwards Plateau, an arid‐to‐semi‐arid region of nearly 100,000 km2 in central Texas. They have very different hydraulic strategies, yet they experienced similar mortality rates during an extreme drought in 2011. We measured J. ashei and Q. fusiformis sap flow velocities during summer dry periods of 2016 and 2017 at six micro‐sites. Although these were years with more‐or‐less average summer conditions, both included significant dry periods. To estimate the relative rate of decrease in sap velocity for each species during the dry periods, we fit a Bayesian exponential decay model to the sap velocity time series for each tree. We found that Q. fusiformis trees were better able to maintain transpiration than J. ashei during dry periods at five micro‐sites and were comparable at the sixth micro‐site. We conclude that it is likely that Q. fusiformis can better maintain transpiration during dry periods than J. ashei, on average, and that in the case of these two species, greater cavitation resistance may not translate to greater drought resistance.
Low-Voltage Ride-Through Based on Neuro-Fuzzy for Grid-Connected Photovoltaic System

The increasing capacity of grid-connected photovoltaic (PV) over electrical power system might lead to voltage sags which affected the consumers and industries. To improve this situation, a simple control strategy of reactive power control using neuro-fuzzy is proposed in this paper to enable voltage regulation in a single-stage gridconnected PV system. An Artificial Neural Network (ANN) model is trained until a satisfactory result is obtained. After that, the trained neural network is combined with fuzzy logic. During the abnormal condition, the reactive current is controlled to inject reactive power for grid support and voltage recovery purpose. The dynamic behaviour of the system will be analyzed under a three-phase fault condition via MATLAB/Simulink. The simulation result shows that the proposed control strategy using neuro-fuzzy controller is effective in compensating desired reactive power during such faults. The voltage profile of the system has shown at least 9% of increment in all case studies. A swift recovery on the voltage can be achieved as well since the voltage returns to steady-state immediately when the fault is cleared. 
Reinforcement Learning for Link Adaptation in 5G-NR Networks

of the master’s thesis Author Evagoras Makridis Title Reinforcement Learning for Link Adaptation in 5G-NR Networks Degree programme Master of Science, ICT Innovation Major Autonomous Systems Code of major AUS Supervisor Prof. Quan Zhou Advisors Prof. Mikael Johansson, Dr. Euhanna Ghadimi Date 23.11. 2020 Number of pages 50+13 Language English
Beliefs about the Consequences of the Establishment of Betting Terminals on Attendance and the Promotion of Youth’s Gambling

The increase in the number of betting terminals over the years has attracted many people to watch matches and stake odds. Since live matches have been found to provide more money for betting companies, betting companies are providing more options for people to stake live bets by establishing many terminals. Sports fans have also taken the opportunity to watch free live matches in the betting terminals. The current study examined the reasons why football fans prefer watching live matches in betting terminals instead of at the stadia. Using an Interpretative Phenomenological Analysis (IPA) the views of six football fans (bettors) were examined in betting terminals. Findings revealed that fans are attracted to watch matches at betting terminals based on cost-effectiveness and financial benefits, socialisation/atmosphere, watching many matches at the same time, and proximity (nearness of betting terminals to their homes). While the respondents foresaw the establishment of betting terminals as a threat to promote gambling among the youths they don’t support the ban on the establishment of betting terminals as they see it as an avenue to generate extra revenue. Suggestions and discussions for the future can be found in the appropriate section in this paper.
Research on active response proactive elderly care service model based on user interest atlas discovery and personalized recommendation

The government's "lower-level groups pay more attention to the public's needs and pay less attention to", the free and scattered social pension resources, and the relaxation of the atmosphere of the proactive elderly care service market. Service requirements. As one of the "Internet + old-age service" methods, old-age service. 2. To a certain extent, it can play the role of the optimization and integration of the Internet in the resource allocation of proactive elderly care services. On the basis of combing the theoretical discussion and practice of elder care service supply and the application of the Internet in the elder care service in detail, the elder care service is provided. 20 The key elements such as content, functions, framework and guarantee of the operation platform were discussed, with a view to driving the provision of offline services through the operation and consumption of online old-age care services, and shaping orderly competition while meeting the needs of old-age care The environment to guide the rudiment of the marketization of old-age services, and ultimately realize the true socialization and marketization of old-age services. Drawing on the theories of Web 2.0, social networks, complex networks, ontology, and cloud computing, a personalized recommendation system structure based on user interest graphs is designed, the principle of recommendation based on user interest graphs is clarified, and user interest graph generation is proposed The integration method and the dynamic evolution and feedback mechanism of user interest graphs have improved the recommendation quality and accuracy of the recommendation system.
INTAKE, DIGESTIBILITY, MILK YIELD AND COMPOSITION OF LACTATING BUFFALOES FED RATIONS SUPPLEMENTED WITH CORN GLUTEN MEAL AS NATURAL PROTECTED PROTEIN SOURCE

Six lactating multiparous Buffaloes of 480± 27( kg) body weight after their peak of lactation were served in this study. Three rations nominated as T1, T2 andT3 were formulated to meet 100, 110and 115 % of the buffalo's metabolisable protein (MP) requirements according to AFRC,1993 recommendations. Corn gluten meal (CGM) as a natural rumen protected protein source was added to the concentrate mixture (CM) to meet this increment in dietary MP. The control concentrate mixture (CM,T1) contained 30.80% wheat bran, 23.32% yellow corn,17.60% soybean meal, 11% sorghum straw,8.89% undecorticated cotton seed meal, 5.19%Casalt of palm fatty acids (as ruminal protected fat),2.2%calcium carbonate and 1% sodium chloride. Rice straw as dry roughage and barseem (Trifolium alexandrinum) as green forage were offered as roughage source. Corn gluten meal supplementation significantly (P<0.05) increased total dry matter intake(TDMI),dry matter, organic matter and crude protein digestibility's (DMD, OMD and CPD). The total digestible nutrients values (TDN) of the three tested rations were not significantly differed. The figures were 730.8, 738.2 and 743.1 g/kg for T1,T2 and T3 respectively. Actual milk yield and 7%fat corrected milk yield (7%FCM) were significantly (P<0.05) increased when T2 andT3 were fed in comparison with feeding T1 (the control ration). The values were 11.01,12.25 and 12.09 kg 7% FCM/day. Supplementation of CGM significantly (P<0.05) increased milk protein concentrations and yield. The Concentrations were 41.5, 44.0 and 44.7 g protein/ kg milk while, the yields were 0.41, 0.50 and 0.52 kg/day for T1, T2 and T3 respectively. Yield of milk fat and lactose were also significantly (P<0.05) increased. It could be included that Supplementation of CGM in amount that represent 10% above the AFRC,1993 recommendations for MP of dairy cattle positively improved intake, digestibility and milk production.
INFLUENCING FACTORS OF BUSINESS INTELLIGENCE CONTINUANCE USAGE INTENTION: A CASE STUDY OF GOVERNMENT-OWNED INSURANCE COMPANY

— Business Intelligence is a technological trend in supporting strategic analysis and decision making in organizations. Many organizations claimed to have successfully adopted Business Intelligence, many also reported failure after adoption. Taspen is one of government-owned insurance company in Indonesia that has problems with the use of Business Intelligence, it decreased to reach 16% in the first year. Based on these facts it is necessary to analyze the factors that influence the continued use of Business Intelligence in the company. This study uses a quantitative approach through the distribution of questionnaires to decision makers and users of Business Intelligence. From the results of data collection, there were 195 respondents who were analyzed using Covariance Based SEM (CB-SEM) with the help of IBM Amos v22 software. This study proposes a framework model that combines External Stimuli, Affective Response, and Cognitive Response to the continuity of Business Intelligence use. The results of this study indicate that Information Integration and productivity increase are the most significant factors influencing the continuity of Business Intelligence use. Factors such as influence organizations and influence peers still need to be investigated further to identify the causes of the weak influence on the continued use of Business Intelligence.
Denial of Service Attack on Neighbor Discovery Protocol Processes in the Network of IPv6 Link- Local

Most devices are nowadays connected automatically via an IPv6 address. IPv6 was developed in 1998 so that the IPv4 address space issues are solved. Due to rapid technological advancements, i.e., the internet of things (IoT), IPv4 is no more efficiently functioning. Therefore, IPv6 introduced with a novel protocol, i.e., Neighbor Discovery Protocol (NDP). It involves many processes to facilitate the communication operation between nodes (hosts and router) that are located on the same link. NDP does not have any verification mechanism to validate the exchange messages, whether it comes from the legitimate or illegitimate node. Besides, the NDP messages are not secure by its design. Therefore, an attacker may manipulate these messages and perform attacks such as Denial of Service (DoS) attack which is considered a frequent attack that threatens the network of the NDP IPv6 link-local. We have reviewed in this paper the main processes of NDP and the security issues of these processes. In addition, the experiments result shown the NDP processes are completely vulnerable to the DoS attack. Thus, the future direction involves developing a prevention mechanism that aims at securing the NDP processes in the network of IPv6 link-local.
HIGH PREVALENCE OF EHRLICHIA CANIS IN DOGS IN VAN, TURKEY

Tropical and subtropical regions have seen an alarming increase in vector-borne diseases especially tick-borne diseases. Ehrlichiosis is one of the most important vector-borne disease from a zoonotic perspective and it can be even more lethal in dogs and humans a compromised immune system. This study was conducted to determine the prevalence and molecular characterization of E. canis in Van province of Turkey. A total of 387 blood samples were collected from dogs in Van veterinary clinics in 2019. Extracted DNAs were run through Nested PCR using the appropriate primers. A total of 79 samples out of 387 were E. canis positive at 389 bp revealed by Nested PCR. Sanger method was used for DNA sequencing of two selected positive samples. Phylogenetic analysis revealed that relevant amplicon was 100% compatible with 16S RNA gene isolated from E. canis in many geographical regions.
Boosting Home WiFi Throughputs via Adaptive DAS Clustering of PLC Extenders

WiFi-capable PLC (Poiver Line Communications) plug-and-play extenders are becoming popular to improve WiFi range and coverage in homes and enterprises. As shown in prior work, unlike an Ethernet backhaul, the PLC backhaul may not support high data rates. In addition, clients (users) that are either far or partially occluded from the WiFi-PLC extender they associate with can experience fading and shadowing, which degrades the throughput on the wireless link. Thus, both the PLC and WiFi backhauls will influence a user’s end-to-end throughput. In this paper, we seek to exploit the presence of multiple PLC extenders that may be plugged in, by combining their transmissions in a distributed antenna system (DAS), to boost client throughputs in a home setting. Specifically, we design PLC-DAS to determine which PLC extenders are the best candidates for forming a joint DAS transmitter cluster to each client. PLC-DAS is designed based on a real measurement study and not only accounts for the WiFi link qualities from the extenders to the users, but also the PLC link qualities from each extender to a master router which is typically deployed in homes. PLC-DAS is flexible and can maximize the throughput under different fairness objectives. We evaluate PLC-DAS via extensive simulations and show that it can increase the aggregate throughput by up to 4.5x compared to blindly using all WiFi PLC extenders to form a DAS transmitter, while maintaining a fairness Jain’s index value of at least 0.97 with proportional and max-min fairness models.
Recovery of phosphorus from stored urine using continuous flow reactor in decentralised level operations

Past studies have shown that phosphate recovery in the form of struvite is relatively a simple process, which can be achieved by adding a magnesium source in stored urine. However, struvite recovery process at a decentralised level becomes uneconomical due to high input cost of magnesium salts and operational cost. While use of cheaper alternative magnesium sources such as bittern, low-grade MgO and wood ash could lead to partial cost reduction, it is also important to reduce the overall operational costs to make struvite recovery process economically viable and sustainable. In this study, a continuous flow reactor was developed for low-cost struvite recovery from stored urine at decentralised community scale operations. Our study revealed that over 81.2% of phosphate present in urine can be recovered in the form of struvite. Comparison of results from stirred and unstirred experiments shows that higher recovery efficiency is obtained due to minimal loss of fines. Operation and financial assessment of the process shows that struvite recovery can be profitable due to continuous operation of the reactor requiring minimal process control and manpower requirement.
Classification of Cardiovascular Artery Diseases Using Artificial Neural Network

: According to WHO (World Health Organization), 17.9 million people die every year because of Cardiovascular diseases (CVDs) and it accounts for 31% of all global deaths. Hence, the diagnosis of such common and deadly diseases are becoming very critical. In this study, we proposed a method that uses Fisher's Linear Discriminant Analysis (FLDA) for dimension reduction and Artificial Neural Network (ANN) for obtaining an efficient CVD diagnostic model. Performance evaluations based on publicly available datasets show that the accuracy of the proposed method is 97%, which is superior than the state of the art.
Hormone Imbalance: The Serious Health Hazard for Woman

Hormones act through specific receptors present on or in the target cells. More than 200 hormones or hormonelike substances have been discovered in the human body Most of the activities by the body are regulated by performed the hormones. Imbalance of a particular hormone may hamper majority of the body functions, since they work in cascaded manner. Hormonal imbalances occur when there is too much or too little of a hormone in the bloodstream. All most all body functions such as, metabolism and appetite heart rate sleep cycles reproductive cycles and sexual activity general growth and development mood and stress levels , body temperature, etc. are directly or indirectly regulated by hormones. Fig1. Female and male endocrine glands and the target organs