Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of User-Participatory Crowdsensing System for Improved Privacy Preservation

Recently, crowdsensing, which can provide various sensing services using consumer mobile devices, is attracting considerable attention. The success of these services depends on active user participation and, thus, a proper incentive mechanism is essential. However, if the sensing information provided by a user includes personal information, and an attacker compromises the service provider, participation will be less active. Accordingly, personal information protection is an important element in crowdsensing services. In this study, we resolve this problem by separating the steps of sensing data processing and the reward payment process. An arbitrary node in a sensing data processing pool consisting of user nodes is selected for sensing data processing, and only the processing results are sent to the service provider server to reward the data providing node. The proposed user-participatory crowdsensing system is implemented on the Kaa Internet of things (IoT) platform to evaluate its performance and demonstrate its feasibility.
Knowledge on Nursing Process among Nurses in Selected County Referral Hospitals in Kenya

Nursing process promotes communication between nurses in relation to various aspects of patient care. Through this nursing care strategy, the patient receives holistic care, hence satisfaction to both the nurse and the client. All this will be possible if the nurses are knowledgeable in regard to nursing process. However, utilization of nursing process has been poor in the country. This formed the basis of this study to determine the nurses’ knowledge on nursing process in selected health care facilities in Kenya. The study involved collecting data from 249 nurses using self-administered questionnaires. Descriptive statistics and score computations were performed. The results showed that more than two thirds of the nurses had poor knowledge on nursing process, hence the need to implement measures to promote the nurses’ knowledge on nursing process in the country.
Feasibility of Spinal Neuronavigation and Evaluation of Registration and Application Error Modalities Using Optical Topographic Imaging

Intra-operative navigation began with the localization of subsurface structures in cranial neurosurgery using frame-based stereotaxy. Advances in imaging and computing power have led to the development of modern frameless three-dimensional (3D) computer-assisted navigation (CAN), employed across multiple surgical disciplines. In spinal surgery, CAN may guide implant placement, bony decompression and soft-tissue resection. However, adoption of 3D CAN by spinal surgeons has been limited by cumbersome registration protocols, workflow disruption, high capital cost, and questionable quantitative and clinical utility. A novel technique for image-to-patient registration has recently been developed, based on optical topographic imaging (OTI). Whether OTI-based CAN is able to provide accurate intra-operative imageguidance for common spinal procedures, while addressing current limitations of CAN techniques, warrants study. First, we explored the current paradigms of reporting CAN accuracy in the context of spinal procedures, finding that quantitative application accuracy and radiographic screw placement do not correlate. We therefore proposed a combined quantitative and radiographic system of reporting CAN accuracy. Second, we examined the registration workflow and accuracy of OTI-CAN in open posterior thoracolumbar instrumentation, in pre-
Tactical approach to identify and quarantine spurious node participation request in sensory application

Securing Wireless Sensor Network (WSN) from variable forms of adversary is still an open end challenge. Review of diversified security apprroaches towards such problems that they are highly symptomatic with respect to resiliency strength against attack. Therefore, the proposed system highlights a novel and effective solution that is capable of identify the spurios request for participating in teh network building process from attacker and in return could deviate the route of attacker to some virtual nodes and links. A simple trust based mechanism is constructed for validating the legitimacy of such request generated from adversary node. The proposed system not only presents a security solution but also assists in enhancing the routing process significantly. The simulated outcome of the study shows that proposed system offers significantly good energy conservation, satisfactory data forwarding performance, reduced processing time in contrast to existing standard security practices.
The response of irisin serum levels to eight weeks aerobic training with moderate intensity in obese male Wistar rats

Background and Objective: Irisin was identified as a myokine secreted by exercise which plays an important role in energy metabolism and regulation of metabolic diseases such as obesity. The aim of this study was to investigate the effects of eight weeks aerobic training on serum levels of irisin in male obese Wistar rats. Materials and Methods: In this experimental study, 16 adult rats (weight: 250 to 300 g, BMI >30 g/cm2) were divided into two groups: aerobic training with 70 to 75% Vo2max (moderate intensity) and control group. Aerobic training included: eight weeks walking on treadmill (5 sessions/per week for 60 min per session). After the training period, the level of irisin was measured. Statistical techniques for data analysis were paired and independent sample t-test to determine the intraand inter-group comparisons between groups and the level of significance was considered at p<0.05. Results: The serum levels of irisin in the aerobic training group with moderate intensity significantly increased as compared to the control group (t=4.18, p=0.001). In addition, weight in aerobic training significantly reduced. Conclusion: According to the results, eight weeks of aerobic training lead to a significant increase in serum levels of irisin. Moreover, it seems that aerobic training with moderate intensity has led to an increase in theremogenesis, weight loss, and energy expenditure.
Towards Comparative Web Content Mining using Object Oriented Model

Web content data are heterogeneous in nature; usually composed of different types of contents and data structure. Thus, extraction and mining of web content data is a challenging branch of data mining. Traditional web content extraction and mining techniques are classified into three categories: programming language based wrappers, wrapper (data extraction program) induction techniques, and automatic wrapper generation techniques. First category constructs data extraction system by providing some specialized pattern specification languages, second category is a supervised learning, which learns data extraction rules and third category is automatic extraction process. All these data extraction techniques rely on web document presentation structures, which need complicated matching and tree alignment algorithms, routine maintenance, hard to unify for vast variety of websites and fail to catch heterogeneous data together. To catch more diversity of web documents, a feasible implementation of an automatic data extraction technique based on object oriented data model technique, OOWeb, had been proposed in Annoni and Ezeife (2009). This thesis implements, materializes and extends the structured automatic data extraction technique. We developed a system (called WebOMiner) for extraction and mining of structured web contents based on object-oriented data model. Thesis extends the extraction algorithms proposed by Annoni and Ezeife (2009) and develops an automata based automatic wrapper generation algorithm for extraction and mining of structured web content data. Our algorithm identifies data blocks from flat array data structure and generates Non-Deterministic Finite Automata (NFA) pattern for different types of content data for extraction. Objective of this thesis is to extract and mine heterogeneous web content and relieve the hard effort of matching, tree alignment and routine maintenance. Experimental results show that our system is highly effective and it performs the mining task with 100% precision and 96.22% recall value.
Fully Quantized Transformer for Machine Translation

State-of-the-art neural machine translation methods employ massive amounts of parameters. Drastically reducing computational costs of such methods without affecting performance has been up to this point unsuccessful. To this end, we propose FullyQT: an all-inclusive quantization strategy for the Transformer. To the best of our knowledge, we are the first to show that it is possible to avoid any loss in translation quality with a fully quantized Transformer. Indeed, compared to full-precision, our 8-bit models score greater or equal BLEU on most tasks. Comparing ourselves to all previously proposed methods, we achieve state-of-the-art quantization results.
1 Towards Unsupervised Multi-Resident Tracking in Ambient Assisted Living: Meth-ods and Performance Metrics

Ageing is a global challenge facing our society in the next few decades. Ambient assisted living (AAL) is a promising technology that helps people stay active, socially connected and independent into older age. Even though ambient binary sensors, such as PIR motion sensors, o ﬀ er a low cost, easy to deploy and less intrusive solution to constructing a smart environment, the limited ability of coping with multiple residents hinders the wide adoption of the AAL technology. In this work, we present three multi-resident tracking algorithms, NN-SG, GNN-SG and sMRT, to solve the data association problem between the ambient sensor events and residentsinthesmartenvironment. Wealsointroducenewperformancemetricstoevaluatethe success of alternative approaches to multi-tracking tracking in smart homes. We evaluate all the algorithms with a recent smart home dataset recorded in real-life settings. Among the three algorithms, NN-SG and GNN-SG require sensor location and ﬂoor plan of the environment to derive the sensor graph, while sMRT does not require such information and relies solely on the unannotated sensor data. As an initiative of the unsupervised resident tracking solution, sMRT prompts additional research opportunities in multi-resident tracking to improve the adoption of AAL technology in our daily life.
Why do people call crisis helplines? Identifying taxonomies of presenting reasons and discovering associations between these reasons

The objective of this study is to identify the most common reasons for contacting a crisis helpline through analysing a large call log data set. Two taxonomies were identified within the call log data from a Northern Ireland telephone crisis helpline (Lifeline), categorising the cited reason for each call. One taxonomy categorised the reasons at a fine granular level; the other taxonomy used the relatively coarser International Classification of Diseases–10. Exploratory data analytic techniques were applied to discover insights into why individuals contact crisis helplines. Risk ratings of calls were also compared to assess the associations between presenting issue and of risk of suicide as assessed. Reasons for contacting the service were assessed across geolocations. Association rule mining was used to identify associations between the presenting reasons for client’s calls. Results demonstrate that both taxonomies show that calls with reasons relating to suicide are the most common reasons for contacting Lifeline and were a prominent feature of the discovered association rules. There were significant differences between reasons in both taxonomies concerning risk ratings. Reasons for calling helplines that are associated with higher risk ratings include those calling with a personality disorder, mental disorders, delusional disorders and drugs (legal). In conclusion, employing two differing taxonomy approaches to analyse call log data reveals the prevalence of main presenting reasons for contacting a crisis helpline. The association rule mining using each taxonomy provided insights into the associations between presenting reasons. Practical and research applications are discussed.
The Northern Italian Diet Compared to the Mediterranean Diet: Prevalence Rates of Obesity and Diabetes

I am writing in response to your recent articles on the conference proceedings of the World Congress on Nutrition and obesity prevention. I wish to call attention to the data on the prevalence of obesity in Italy, which are some of the lowest in the Western world, and which seem to be relatively stable [1]. The table 1 below shows that the northern part of Italy had significantly lower prevalence of overweight and obesity in 2007 than the southern part of Italy [2]. The Northern Italian diet differs significantly from the Mediterranean diet of the southern part of Italy, being richer in calories, animal fats and meat products than the typical Mediterranean diet. It also uses butter more often than olive oil as a condiment. For years the Mediterranean diet has been portrayed as one of the healthiest. The concept of the Mediterranean diet reflected “food patterns typical of Crete, much of the rest of Greece, and Southern Italy in the early 1960s” [3]. American biochemist Ancel Keys had first originated the concept of the Mediterranean diet after discovering a high proportion of centenarians in the Cilento area of Southern Italy [4]. However, according to the World Health Organization, Greece only ranked 24th among world countries in 2015 with respect to life expectancy with an average life expectancy for men of 78.3 years and for women of 83.6 years, behind Germany and the United Kingdom. Like many Western countries, Greece is also experiencing an obesity epidemic [5]. With particular regards to type 2 diabetes mellitus, Northern Italy has a very low prevalence of the condition (3.2%), lower than that of Southern Italy (6.3%) [6]. The Mediterranean diet has even been proclaimed an intangible cultural heritage by Unesco in 2013 (Inscription: 8.COM 8.10), supposedly for its great health benefits. The American College of Cardiology promotes the Mediterranean diet on its website claiming that it lowers the risk of diabetes. However, analysis of the available data does not support this conclusion. The table 2 below lists the diabetes type 2 prevalence rates of several countries and of Northern and Southern Italy: as it will be apparent some “Mediterranean” countries(including Greece) have higher prevalence rates than the United States. I therefore feel that we are giving the wrong advice to the public: to follow a “Mediterranean” diet.
Load balancing by diversified quality factors‐based handoff (DQFH) in wireless cellular networks

The long‐term evolution (LTE) and long‐term evolution advance (LTE‐A) communication networks are the buzz of cellular networks. Due to the phenomenal count of users who hangs on cellular networks in regard to the concept of information and communications technology (ICT), the over‐sized demand of any network related to ICT experiences the crux of transmission load, which is critical constraint of the cellular networks. Though the contemporary research evincing the benchmark strategies to deal the crux of load on cellular networks, most of these are adapting handoff schemes to optimize the communication through effective load balancing under one or two standard quality metrics. Hence, the contemporary models have critical droppage in performance under the context of multiple quality objectives. In regard to deprive the constraints of the contemporary models, a handoff mechanism to optimize the load balancing in cellular networks under diversified contextual quality objectives has been defined in this manuscript. The method that is portrayed is a search technique that intends to select an optimal target node. The experimental study that was carried has evinced the significance the proposal that scaled against the contemporary methods having similar objective.
Single-Layer Wideband End-Fire Dual-Polarized Antenna Array for Device-to-Device Communication in 5G Wireless Systems

A millimeter wave (mm-wave) wideband dual-linearly polarized antenna array with the end-fire radiation is presented as a promising candidate for device-to-device (D2D) communications in the 5G wireless systems. To realize the property of dual polarizations, two types of orthogonally-polarized radiators are arranged alternately, forming a linear array. By using the crossover, the whole array architecture, including radiators and feed networks, is built into a same layer. A 2 × 4-element array prototype is architected based on the substrate integrated waveguide (SIW) technology. Both radiators and feed networks are carefully designed and analyzed for a wideband operation. Experimentally, the proposed array obtains an impedance bandwidth of 28.6% (24∼32 GHz) for both polarizations. The port isolation is larger than 18.85 dB. Peak gains are 10.5 dBi and 11.6 dBi for the horizontal and vertical polarizations, respectively.
Prescription Stimulant Use

This study examines whether GPA affects the rate at which students use nonmedical prescription stimulants for academic purposes. A web-based survey was sent to students at a public northeastern university via email and social media. Data from 362 completed surveys were collected and analyzed using Qualtrics. A statistically significant correlation was found between my independent variable, GPA, and dependent variable, use of nonmedical prescription stimulants (p-value 0.00). Alcohol use and nonmedical stimulant use show positive, linear correlations. The study found that binge drinking and non-medical stimulant use were highly associated. The more one drinks alcohol to get drunk, the more likely they are to use nonmedical stimulants. I also found a positive linear relationship between binge drinking frequency and moral acceptance of stimulant use for academic purposes. A larger, more representative sample would provide more accurate results. Introduction and Literature Review This study looks at the nonmedical use of Attention Deficit Hyperactivity Disorder medications by college students at a public university in the northeastern U.S. Non-medical use describes use of a prescription stimulant (such as Adderall, Ritalin, Dexadrine, Vyvanse, and Concerta) without a prescription (Sepulveda, Thomas, McCabe, Cranford, Boyd, Teter 2014). The use of drugs has fascinated and appalled the American public for decades. College campuses across the US are seeing a steady rise in misuse of prescription drugs (Ross and DeJong 2009). In a national survey of 119 colleges, the authors found 6.9% of students had reported life-time use of a nonmedical prescription stimulant. (McCabe, Knight, Teter, Wechsler 2005). At individual universities and colleges across the country, rates of nonmedical prescription stimulant use varied from 0 to 25% (McCabe et al. 2005). Most users did not find nonmedical use morally wrong if used for academic purposes, and only 2% of these users thought that the use of these stimulants posed a “very dangerous” health risk (Desantis, Webb, and Noar 2008). This begs the question, why are these drugs so popular? The consistent increase of use over time, accompanied by the disregard 1 Dudzisz: Prescription Stimulant Use Published by University of New Hampshire Scholars' Repository, 2017
The Optimal Configuration and Their Strategic Analysis of Information System Security Technology Portfolios

Confronted with the increasingly severe information security problems, proper configuration of security technologies is critical to enhance the information systems performance. To solve the integrated linkage control problem based on attack detection, the security model including firewall, intrusion detection system (IDS) and vulnerability scan is analyzed by game theory. The analyses show that more IT portfolio will not bring better benefits, and more fixed vulnerabilities are not the better choice for the firm either. However, reasonable configuration of firewall will always reduce the firm’s expected loss. According to the Nash equilibrium of the model, technical parameters are configured to minimize the firm’s expected loss.
Analisa Perbandingan QoS (Quality Of Service) Teknik Load Balancing Metode PCC (Peer Connection Classifier) Pada Manajemen Shared Dan Dedicated Bandwidth Terhadap Layanan Video Streaming

Beragam penggunaan media streaming saat ini sangatlah pesat dan meningkat dari sisi pengguna maupun penyedia. Dari sekian banyaknya penyedia layanan media streaming seperti Youtube, Facebook, Vimeo dan masih banyak lagi. Diantara nya software pembantu untuk kegiatan ini adalah VMix yang digunakan untuk video coding sebelum proses video streaming dilakukan. Dengan ini penggunaan video streaming tentu tidak terlepas dari akses jaringan internet yang bagus serta mumpuni sehingga fungsi nya dapat dirasakan semaksimal mungkin. Pada penelitian ini dilakukan pengujian jaringan komputer menggunakan tehnik Load Balancing pada uji bandwidth skema 4:1. Load balancing digunakan untuk menyeimbangkan input traffic dari beberapa traffic yang masuk dengan menggunakan metode PCC (Peer Connection Classifier). Vmix pada pengujian ini dijalankan sebagai server penyedia layanan media streaming yang diterima oleh client menggunakan VLC Media Player yang mana video akan disimpan sebagai video distorsi dan akan dibandingkan dengan video asli dari server menggunakan software evalvid. Evalvid digunakan untuk mendapatkan data QoS yaitu parameter PSNR (Peak Signal to Noise Ratio) yang nantinya dikonversi kedalam nilai MOS (Mean Opinion Score). Secara umum performa pada penelitian ini dalam kategori fair dalam nilai MOS dengan nilai (2,9), (2,7),dan (2,82). 1 dari 4 macam percobaan di atas masuk kategori Good dengan nilai MOS Scale 3,9 yaitu pada video 240p Dedicated Bandwidth. Adanya interfensi pada pengujian Shared Bandwidth, mempengaruhi proses pengiriman paket dari server ke client sehingga menghasilkan nilai persentase Bad terbesar dengan rata – rata nilai >30%.
The utility of trout hepatic cells in the prediction of xenobiotic bioaccumulation and environmental persistence

The need to protect aquatic organisms from the toxic potential of environmental contaminants with minimal use of animal testing has been highlighted by the introduction of a number of regulatory directives. This thesis proposes the potential of 3D cell culture models to ‘bridge the gap’ between the use of existing subcellular and in vivo systems for the testing of compounds for potential persistence, bioaccumulation and toxicity, improving the predictive power of in vitro screening procedures. In this project, a trout hepatocyte spheroid model was optimised and using metabolic, fluorescence, transport and gene expression assays, the utility of this system in such studies as a superior alternative to currently used in vitro models was demonstrated. Hepatocytes cultured as spheroids remained viable for up to 40 days, exhibiting significantly greater functional xenobiotic metabolism and transport, as well as expression of genes, compared to other in vitro systems. These features of spheroids present a profile more closely representative of that of the whole liver. Together with the potential advantages of screening highly persistent compounds that require long term incubation and possible use in the assessment of the toxicity of compounds exhibiting chronic effects, this system successfully enriches current in vitro testing strategies.