Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Hybrid Encryption Approach for Secure Communication: GenComPass

: When looking at the daily life flow and working sectors, it is seen that almost all work and transactions are carried out electronically. It performs many data streams in the electronic transactions performed. The importance of information security is exactly at this point. To ensure the security of the data, the journey of the data between the sender and the receiver is encrypted. In this study, a hybrid application that creates encrypted text using genetic algorithm and particle swarm algorithm has been developed. In the first step of the study, two separate keys were generated to encode the message using the genetic algorithm and particle swarm algorithm. Shannon Entropy method was used as a fitness function in both algorithms. The message was encrypted with the genetic algorithm method by choosing the key that obtained the best result from the compliance function. The encrypted message was decoded by applying a reverse genetic algorithm to the recipient. The encryptions made using the generated key were measured and the results of the AES algorithm were compared. In the proposed model, successful performances were obtained as the maximum switching space and encryption time for encryption. As a result, the proposed application offers an alternative method of data encryption and decryption that can be used for message transmission.
Metabolism and Respiration of the Amazonian Manatee (Trichechus inunguis)

A study was made of respiration and metabolism in Amazonian manatees (Trichechus inunguis) weighing between 20 and 170 kg. These animals had a low metabolic rate, 0.36 times that predicted by Kleiber's 1975 equation for placental mammals. They also had a low breathing frequency and minute ventilation, and high O₂ extraction and CO₂ output. The mean dive times were less than 2 min but dives of up to 10 min-duration were noted. Sequential dive times exhibited a pattern only in that several short dives followed a prolonged one.
Point-of-interest (POI) recommender systems for social groups in location based social networks (LBSNs)-Proposition of an improved model

— Point-of-interest (POI) recommendation systems provide recommendation of places to users based on their behavior or activities. Checking behavior features from many Location Based Social Network (LBSN) applications combined with POI recommendation systems, provides better location-based services and benefits consumers and businesses in many areas. For users, they assist consumers in discovering interesting places, while for industries, they distribute commercials to target consumers and increase industry benefits. LBSNs may also use a POI recommendation system to have more target customers in return. This research aims to improve the precision of the POI recommender system for individuals as well as social groups in LBSNs by overcoming limitations of current models. The revised model was designed to support individual as well as group recommendations. In terms of individual recommendations, the proposed model is intended to take friendships between users into consideration and their impact on LBSNs and their POI ratings. Furthermore, for group recommendations, consideration was given to the aggregation of individual user recommendations. The improved model was implemented on a Gowalla dataset and results were compared with current models. The experimental results showed higher precision in POI recommendations for individuals in LBSNs.
Virtualization and Cloud Computing

Virtualization has been suggested by researchers as one of the ways to go in cloud computing because of the rampant growth and advancement. The phenomena are rapidly gaining interest in the domain of cloud computing due partly to its inherent benefits such as better resource utilization and ease of system manageability. Virtualization refers to the act of creating a virtual (rather than actual) version of something, including virtual computer hardware platforms, operating systems, storage devices, and computer network resources. This concept has created lots of open opportunities for technology users as well as network administrators to make good use of technology at affordable cost. In this paper, we present a systematic review of the various types of virtualization, the advantages and disadvantages associated with running traditional operating system on a single hardware using server virtualization approach. Our findings show a paradigm of computing system been driven by economies of scale, in which a pool of abstracted, virtualized, dynamically-scalable, managed computing power, storage, platforms, and services are delivered on demand to external customers over the Internet.
Conception of an endodontics questionnaire in undergraduate dental education

The purpose of this study was to create a valid assessing instrument using a set of questions to examine preclinical dental education in endodontics. For this reason, we constructed the “German Endodontology Questionnaire” (GEndoQ), which assesses preclinical dental education in endodontics. In recent years and decades, various curricula in preclinical and clinical endodontic education have been evaluated at both national and international levels and the results published. However, the conception of the questionnaires that have been used have never been discussed or published.
A Sampling Proﬁler for a JIT Compiler Master Thesis

For efﬁcient execution of dynamically typed languages, many implementations use a two-tier architecture. The ﬁrst tier is used for low-latency startup and collects dynamic proﬁles, e.g., the types of all program variables. The second tier provides high throughput through the use of an optimizing compiler. This compiler specializes the code for the type information recorded in the ﬁrst tier. If a program suddenly changes its behavior and presents the compiled code with types that have not been seen before and that are incompatible with the compiled version, that specialization becomes invalid. It is deoptimized and control is transferred back to the ﬁrst tier where new proﬁles are gathered and specialization can start anew. But if the program behavior becomes more speciﬁc, for instance, if a variable suddenly becomes monomorphic ( i.e., only takes on one single type) this will not trigger a deoptimization as it is still compatible with the compiled version. If the program were recompiled with that monomorphic variable in mind, performance could be improved. Once the program is running in an optimized form there are no means to notice such optimization opportunities. We propose the use of a sampling proﬁler to monitor native code without instrumentation. With the absence of instrumentation we incur no overhead when the proﬁler is inactive and can control the active proﬁler overhead by limiting the sampling rate. It also allows sampling at random points in the program and not just at predeﬁned locations. Our implementation is in the context of the optimizing ˇ R JIT-compiler for the R language. Based on the collected proﬁles we are able to detect when the native code produced by ˇR is specialized for stale type information and trigger recompilation for more speciﬁc type information. We show that sampling with our proﬁler adds an overhead of less than 3% in most cases and up to 9% in some cases when active. We also show that it reliably detects stale type information within milliseconds.
Evaluation of the efficiency and benefits of a Pilot Scaled Decentralized Faecal Sludge Treatment System in Kampala

Many peri-urban cities of Sub-Saharan Africa are overwhelmed with overloading the existing centralised wastewater treatment plants and high capital costs of operations and maintenance. In this work, a pilot decentralized faecal sludge treatment system (DEFASTS) was constructed in Kampala for assessing the performance and potential benefits of the treatment system. It consisted of a sedimentation tank, 2 m3, where liquid overflowed sequentially through anaerobic baffled reactor and anaerobic filter. Effluent was polished by a Cyperus papyrus planted gravel filter. The system was loaded daily with 0.5m3/day of mixed raw faecal sludge from both septic tanks and pit latrines operated with a total retention time of 12.52 days. Monitored parameters were; Chemical Oxygen Demand, five-day Biochemical Oxygen Demand total suspended solids pH, temperature, total phosphorus, total nitrogen faecal coliforms total volatile solids and ash content. Results obtained were 95.7±24 %, 96.4±1.9%, 96.8±1.8%, 78.4± 24.2%, 76.6±29.8% and 99 ±1.6% respectively.
SEISMIC PERFORMANCE OF STEEL DUAL SYSTEMS WITH BRBS AND MOMENT-RESISTING FRAMES

Buckling-restrained braces (BRBs) are energy dissipation devices which have proven to be very effective in improving the performance of existing and new building frames. However, their post-elastic stiffness may lead to excessive residual deformations in the systems to be protected, and this may cause irreparable damage and jeopardize the capability of withstanding multiple shocks. Previous studies demonstrated that buckling-restrained braced frames (BRBFs) can be used in conjunction with special moment-resisting frames to form a dual system, able to minimize the residual drifts and optimize the performances of the BRBFs. The objective of this present paper is to provide recommendations regarding the proportioning in terms of forces, stiffness and ductility of the two systems. For this purpose, an extensive parametric analysis under the single degree of freedom approximation for the dual system is carried out to shed light on the parameters that control the seismic performance and residual capacity of frames equipped with BRBs. A non-dimensional formulation of the problem allows investigating wide ranges of configurations, including the case of BRBFs and the case of BRBFs forming a dual system with moment-resisting frames. The results of this study provide useful information for the preliminary sizing and the optimal choice of the design parameters of structural systems equipped with BRBs.
A novel way to consider uncertainty in epidemiological models based on ODEs: Considering actual data from two municipalities in Colombia affected by Dengue

Uncertainty is present in any measurement process and in modeling real phenomena. Frequently, available information is not 100% reliable or accurate. This work considers the modeling of uncertainty in epidemiological models based on systems of Ordinary Differential Equations (henceforth ODEs) where knowledge and available information on model parameters and initial conditions is limited. This is especially true for models that simulate the transmission of vector-borne diseases such as dengue, our study case. To achieve this goal, we model the uncertainty through interval analysis by representing the input parameters and initial conditions as closed real intervals. To find guaranteed enclosures on the solutions of such systems, we apply a method based on the use of Taylor series and Taylor models to represent dependence on uncertain param1Dept. Ciencias Matemáticas/Escuela de Ciencias, Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medelĺın 050022, Colombia 2Dept. of Mathematics, University of Louisiana at Lafayette 104 E. University Circle Lafayette, LA 70504-1010, USA Preprint submitted to Journal of LTEX Templates July 20, 2020 eters or initial conditions; specifically, we use the VSPODE software (Verifying Solver for Parametric ODEs). To enhance the use of this numerical method, we perform structural identifiability and sensitivity analysis to determine which parameters and initial conditions should be considered uncertain. Finally, our results so obtained enable us to show the worst-case scenarios of an outbreak, according to uncertainties considered. This allows considering under-reporting in the modeling process and designing more effective control strategies.
Comparative study between magnesium sulphate and fentanyl as an adjuvant to intrathecal bupivacaine for patients undergoing lower limb orthopaedic surgery

Background and Aim: Spinal anaesthesia is widely used for lower limb orthopaedic surgery. A number of adjuvants are added to maximize quality of anaesthesia, effective analgesia and to overcome the side-effects associated with local anaesthetic agents are used. This study has been carried out to evaluate onset of sensory and motor block, duration of block, analgesic efficacy, intraoperative hemodynamic parameters and side-effects of magnesium sulphate and fentanyl when used as an adjuvant to intrathecal bupivacaine in lower limb orthopaedic surgery. Methods: This prospective, randomized double blind study was conducted in 100 patients of either sex, ASA I and II, posted for lower limb orthopaedic surgeries. The patients were randomly allocated into two equal groups: Group M-Bupivacaine15mg (0.5%heavy) with 50 mg magnesium sulphate. Group FBupivacaine 15mg (0.5%heavy) with 25μg Fentanyl. The time of onset of sensory and motor blockade, duration of blockade, duration of analgesia, haemodynamic parameters and side-effects were recorded. The data was analysed using chi-square test, paired ‘t’ test and ANOVA test. Results:Magnesium caused a significant delay in onset of both sensory and motor blockade as compared to fentanyl (p<0.001). There was insignificant difference in duration of sensory and motor block in both the groups. Mean time of rescue analgesia was comparable among both the groups. In Group M, there was less incidence of intraoperative hemodynamic fluctuation as compared to Group F. Conclusion: Addition of magnesium sulphate to intrathecal bupivacaine significantly prolonged the onset of sensory and motor blockade as compared to the fentanyl. Magnesium sulphate provided more stable hemodynamic profile than fentanyl with fewer side-effects.
Multimodal Event-based Task Load Estimation from Wearables

Humans always engage multiple modalities when performing tasks, such as eye activity, speech and head movement, which contain rich information indicative of task load that can help understand and predict human psychological state and behavior. In recent research into multimodal signal processing, the ideas of sequence- and coordination-based event features have been proposed, which explicitly utilize the interaction information among different modalities. In this paper, we propose event intensity and event duration-based features, which capture the extent and duration of onset events that denote major changes in behavior signal. These features are combined with sequence- and coordination-based event features to achieve state-of-the-art performance in assessing task load levels and load types. In experimental work, we collected eye activity, speech and head movement data from 24 participants during cognitive, perceptual, physical and communication tasks. Results suggest that by fusing these four compact, interpretable event-based features, strong accuracy can be achieved: 84% for two load level classification, 89% for four load type classification and 76% for 8-class classification, outperforming conventional statistical features and deep neural network self-learned features by up to 9% and 25% respectively. These features do not need to be selected during training and can generalize well for different participants and different task types.
Gross Visceral Organs Morphometry and Carcass Characteristics of Broiler Chickens Fed Differently Processed African Locust Bean Seeds

An experiment was conducted to evaluate the effects of four local processing methods i.e. sprouting, salt treatment, cooking and roasting with raw African locust bean as control on visceral organs morphometry and carcass characteristics of broiler chickens. Two hundred and fifty (250) Anak 2000 unsex broiler chicks were randomly allotted to five treatments, replicated five (5) times in a completely randomized block design (CRBD). The experiment lasted for eight weeks.Results showed that the local processing methods affected organs morphometry and carcass yield (P<0.05). All the local processing methods exerted effects on carcass yield and gut morphometry (P<0.05). However, Salt treatment and cooking proved to be more efficient methods of local processing and should be recommended to farmers wishing to use ALBS as protein source.
Demonstration of a Mobile Education Artifact in a Tanzania's Higher Education Institution

This study reports the demonstration of the effectiveness of a mobile education tool (MET) that was co-designed and developed at the College of Business Education (CBE) in Tanzania by a team of teachers, researchers, and a developer using the Design Science Research (DSR) methodology. The demonstration of the CBEMET Prototype as an artifact was done to 30 teachers who had participated in the co-designing of the prototype phase, 3 members of CBE management team and 20 students in Bachelor II degree program as the observers and representative of those who will use the prototype at a later stage. Different sets of questionnaires were administered to the teachers, the members of the management team and the students. The demonstration confirmed that it is easy to access the prototype, share learning contents, and provide education through mobile devices. Nonetheless, teaching materials prepared for testing the prototype were insufficient and thus needed improvement. Furthermore, teachers and observers proposed for more options to the prototype such as the inclusion of timetables, alerts of events like examination dates, and news on innovation activities. The feedback from the participants has thus been considered to reduce errors in the usage of the prototype before its final deployment.
Elevated serum uric acid levels are associated with increased risk score and mace development in patients with stemi

Aim: Although the relationship between changes in serum uric acid (UA) levels and adverse events in ST segment elevation myocardial infarction (STEMI) patients is well known, the effect of an increase in UA levels on risk scores or major adverse cardiovascular event (MACE) development are not well established. In this study, we investigated the effects of ordinal changes in serum UA levels on adverse events and risk scores in STEMI patients. Material and Methods: The patients presenting with a diagnosis of STEMI and undergoing coronary angiography were included in the study. The patients were divided into seven groups evenly according to baseline UA levels and the effects of changes in UA levels on risk score and MACE were investigated. Results: A total 1200 STEMI patients was included in the study. The mean age of the patients was 62 years and 72% of them were males. While both Syntax score-II (SS-2) and Cadillac scores (CS) were lower among Group-1 and Group-4; SS-2, CS and development of MACE were markedly increased with an increase in UA levels. Conclusions: The UA levels in STEMI patients can be guiding for the clinician regarding the development of adverse event and patient-based intensive approaches should be considered in the patients with higher UA levels.
Evaluating Soil Fertility Potentials of Some Soils of Bali Local Government, Taraba State, Nigeria

A field experiment was carried out to evaluate the soil fertility potentials of some soils in Bali Local Government area of Taraba State, Nigeria. Soil samples were collected from different wards which were Bali A and B using cropping system as criteria for the collection of soil samples. Six (6) soil profile pits were dug in each of the ward and twelve (12) auguring points with the distance of 2.5km away from the pit. The soil samples were analysed to determine their physical and chemical properties. The result of the analyses concluded that the soils were deep soils (> 1.5km) and they were generally sandy loam textured. The soils were also yellowish brown to reddish in colour which indicated the presence of iron three (Fe 111) and iron two (Fe 11) oxide as a result of iron oxidation with the mean value of soil bulk density 1.53 and 1.55 gcm 3 for the pedon and the soil samples, respectively. The mean value of soil porosity was 45% for the all collected soil samples. In the chemical properties of the soil, it showed that the pH of the soils were moderately acidic to neutral with low to moderate EC values in pedon and soil samples, respectively. The means of the organic carbon and the net nitrogen were 10 /kg and 7 mg/kg, respectively. The average of available P were 4.8 mg/ kg and o.94 for pedon and the soil samples, respectively. ESP, exchangeable acidity and exchangeable bases were low, but ECEC was moderate to high in all the soil samples. The soils of the wards are deep, moderately structured and well drained with, low to medium organic carbon, N, P and K contents indicated medium fertility levels and could be maintained and sustained through monitoring and balanced integrated nutrient management using both synthetic and organic fertilizers
Hispanic Community Engagement (HCE): Pilot Study to Reduce Hypertension among Low-Income Mexican Americans

Hypertension is a modifiable risk factor for heart disease and stroke and is a major cause of premature death and disability due to cardiovascular and cerebrovascular complications [1,2]. Hypertension is a chronic medical condition in which blood pressure is elevated above a specified range of healthy levels (standardized at 140/90 mm of hg) [3]. Despite public health efforts to increase screening and management of hypertension [4] as well as the availability of effective pharmacological and non-pharmacological treatment regiments (e.g., low sodium diet, exercise), hypertension remains a major public health problem in the U.S. [5,6]. Racial and ethnic minority groups are at increased risk for health complications due to lack of awareness, treatment and control of hypertension [7,8]. According to the Hispanic Community Health Study / Study of Latinos (HCHS/SOL), a longitudinal cohort study of 16,415 Hispanic/Latino (H/L) adults in the U.S., the age adjusted prevalence of hypertension for H/L men was 26.1% and 25.3% for H/L women [9]. National data from 2011-2012, showed that the age-adjusted hypertension prevalence for Mexican American adult women 20 years and older was 27.0%, while the rate for Mexican American men was 26.6% [10]. The prevalence of uncontrolled hypertension among individuals of Mexican heritage must be addressed given that Mexicans comprise the largest percentage of H/Ls (over 60%) in the U.S. [11,12].
Adaptive Traffic Signal Control Model on Intersections Based on Deep Reinforcement Learning

Controlling traffic signals to alleviate increasing traffic pressure is a concept that has received public attention for a long time. However, existing systems and methodologies for controlling traffic signals are insufficient for addressing the problem. To this end, we build a truly adaptive traffic signal control model in a traffic microsimulator, i.e., “Simulation of Urban Mobility” (SUMO), using the technology of modern deep reinforcement learning. The model is proposed based on a deep Q-network algorithm that precisely represents the elements associated with the problem: agents, environments, and actions. The real-time state of traffic, including the number of vehicles and the average speed, at one or more intersections is used as an input to the model. To reduce the average waiting time, the agents provide an optimal traffic signal phase and duration that should be implemented in both single-intersection cases and multi-intersection cases. The co-operation between agents enables the model to achieve an improvement in overall performance in a large road network. By testing with data sets pertaining to three different traffic conditions, we prove that the proposed model is better than other methods (e.g., Q-learning method, longest queue first method, and Webster fixed timing control method) for all cases. The proposed model reduces both the average waiting time and travel time, and it becomes more advantageous as the traffic environment becomes more complex.