Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated handwriting analysis based on pattern recognition: a survey

Handwriting analysis has wide scopes include recruitment, medical diagnosis, forensic, psychology, and human-computer interaction. Computerized handwriting analysis makes it easy to recognize human personality and can help graphologists to understand and identify it. The features of handwriting use as input to classify a person’s personality traits. This paper discusses a pattern recognition point of view, in which different stages are described. The stages of study are data collection and pre-processing technique, feature extraction with associated personality characteristics, and the classification model. Therefore, the purpose of this paper is to present a review of the methods and their achievements used in various stages of a pattern recognition system.
Clusterization of customer energy usage to detect power shrinkage in an effort to increase the efficiency of electric energy consumption

Automatic meter reading (AMR) is a reading system result the measurement of electrical energy consumen, both locally and remotely. The problems faced is the high non-technical shrinkage of AMR customers due to installation, maintenance errors as well as dishonest actions some consumers, this has a major influence on electrical power losses. PT. PLN Disjaya currently faces difficulties having to choose which customers should be checked first, so the field can only find a little damage. The K-means method based on historical electric power usage and determine the most optimal number of groups the davies-bouldin index (DBI) method. Based on the results of testing with 2-6 sets of clusters, the cluster set results are the most optimal is set cluster 4 because it has the smallest DBI value 0.893. The set of 4 clusters has the best performance in data grouping of historical power usage of AMR customers the business class, each centroid of each cluster is used as an attribute and value of the AMR customer power usage business chart. The testing phase is customers who categorized as customers with un-normal usage electricity power. The test is, by determining the distance data testing each centroid in the cluster 4 set.
Service landscape for private universities in indonesia based on service oriented architecture and cloud technology

Information technology (IT) has been widely adopted and is believed to improve academic processes’ efficiency and run private universities’ academic functions (PTSs) in Indonesia. Nonetheless, adopting diverse technologies for them will also create many challenges. PTSs are struggling to survive in terms of technological implementation, in the sense that the investment and implementation rate in the PTSs just cannot catch up with the technological advancement rate. Even when more PTSs are trying to transform into digital entities, the next problem will be system integration and flexibility. This study aims to overcome this problem by implementing a framework that can be both integrated and flexible while also serving the efficiency of investments. Many studies already suggested that service oriented architecture (SOA) and cloud technology are the solutions. Nevertheless, none has been able to define what standard services can be applied within those platforms. To determine this, we use the BIAN service landscape, which was translated from the banking industry, offering a comprehensive view of the business domain and business capabilities alongside its service functions. While BIAN offers common services throughout the same platform, we modify the framework using the OASIS model from SOA, which allows the framework to be flexible in complying with many platforms of databases, programming languages, and network infrastructures. We completed our study by defining one business area: academic processes, three business domains, 19 business capabilities, and 84 service functions. We are strongly confident that our findings and study results will act as a reference in creating a cloud-based platform for Indonesia’s higher education academic systems.
Design and implementation of a stability control system for TCP/AQM network

In this work, we used a new approach as active queue management (AQM) to avoid data congestion in TCP/IP networks. The new approach is PSO-PI controller which use the proportional-integral controller as a control unit and particle swarm optimization (PSO) algorithm as an optimization technique to improve the performance of the PI controller and therefore improving the performance of TCP/IP networks as a required goal. The optimization control (PSO-PI) is characterized by access to design and choosing the optimal parameters of (K_1 and K_p) to reach optimal solutions in a short way (fewer iterations). The implementation of the PSO algorithm is achieving by using the mathematical system model and M-file and SIMULINK in Mathlab program. Simulation results show good congestion management performance with PSO-PI controller better than the PI controller as AQM in TCP networks, and the proposed method was very fast and required few iterations.
Multi-constraints based RPL objective function with adaptive stability for high traffic IoT applications

The internet of things technology is classified as a Low power and lossy network. These kinds of networks require a trustworthy routing protocol considered as the backbone for management and high quality of service achievements. IPv6 routing protocol for Low power and lossy network (RPL) was able to gain popularity compared to other routing protocols dedicated to IoT for its great flexibility through the objective function. Default objective functions implemented in the RPL core are based on a single metric. Consequently, the routing protocol can’t cope with different constraints and show congestion issues in high traffics. For that, we proposed in our paper multi-constraints-based objective function with adaptive stability (MCAS-OF), which uses novel strategies for Radio strength indicator, node energy consumption, hop count and a designed work-metric combination, new rank processing, and parent selection procedure. The network stability was also taken into account, since the multi constraints can lead to frequent parent changes, using an adaptive threshold. The proposal, evaluated under the COOJA emulator against standard-RPL and EC-OF, showed a packet delivery ratio improvement by 24% in high traffics, a decrease in the power consumption close to 44%, achieved less latency and DIO control messages, it also gives a good workload balancing by reducing the standard deviation of node’s power consumption.
Computational Approaches to Estimating Octanol-Water Partition Coefficient and Water Solubility of Organic Compounds

Octanol-water partition coefficient and water solubility are two important physicochemical properties of organic compounds in medicinal chemistry and environmental chemistry studies.They are used as critical parameters in quantitative structure-activity relationship (QSAR) studies to model the adsorption, distribution and metabolism of drugs in the living body and the distribution of organic compounds in naturenvironment.The most widely applied approaches to calculating octanol-water partition coefficients and water solubility can be roughly divided into two categories:fragment-addition models and descriptor-based models.This article provides a comprehensive review on these approaches, discusses their strengths and shortcomings, and provides an outlook for possible future developments in this area.
A State of Art for Semantic Analysis of Natural Language Processing

—Semantic analysis is an essential feature of the Natural Language Processing (NLP) approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of the subject because of the interrelationship between linguistic classes. In this article, semantic interpretation is carried out in the area of NLP. The findings suggest that the best-achieved accuracy of checked papers and those who relied on the Sentiment Analysis approach and the prediction error is minimal.
SIFAT FISIKO KIMIA BERAS MERAH GOGO LOKAL ENDE [The Physico-chemical Properties of Local Ende High Land Brown Rice]

Ten strains of Ende high land brown rice were assessed to underpin their physico-chemical properties related to their potential uses. Are Ndota has bigger grain size and smoother gel consistency than others (63.50 mm gel length). It potentially can be used as food thickeners and baby foods. Are Kea showed the highest water imbibition ability (90.99%), the fastest wettability (12.11 sec), and the highest dispersibility value (2,50 %) due to its high amylose content (33.21 %). Potentially, Are kea can be used for noodles. The variety also had small repose angle (27.46 ° ), therefore it can be easily transported.
Methods and protocols from Chaiyarat et al. (2019) for systematic reintroduction of bateng (Bos javanicus) v1

Banteng (Bos javanicus) underwent general medical checkups and received minimal human contact in 302 ha enclosure.They were train in transportation boxes(1 m × 2.5 m × 1.8 m, width × long × high)over6 months.They werekept in groups in soft release cage for 4 months. Natural food plants,fresh water and artificial salt licks were provided.Immobilizations were controlledwith anesthetic drugsby veterinarians and fitted with radio collars.The radio signals were monitored every week through ground tracking, using homing in and triangulation techniquesvia VHF signals.Cameras traps were installed,memory cards and batteries
In vitro antioxidant activity‐guided fractionation of Daucus carota L. seed extract

Daucus carota Linn (carrot) seeds are medicinally useful in the management of diseases including diabetes mellitus. The present study investigates the in vitro antioxidant activities and phytochemical constituents of several fractions from aqueous seed extract of Daucus carota. D. carota seeds (78.8g) were pulverized and dissolved in 400 mL of distilled water for 24 hours. The crude extract obtained (16.4g, 20.8% yield) was partitioned in water/ethyl acetate (3:1) to yield ethyl acetate fraction (6.2g, 37.8% yield) and aqueous ethyl acetate fraction (7.6g, 46.3% yield) which was subjected to column chromatography. Thirteen (13) fractions obtained were evaluated for their in vitro antioxidant activities and screened for phytochemical constituents. The fractions exhibited in vitro antioxidant activities at 2 – 20 μg/mL with 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging activities (IC50 = 1.38 - 22.96 μg/mL), total antioxidant capacity (IC50 = 1.17 - 3.13 μg/mL) and nitric oxide scavenging activities (IC50 = 3.20 - 20.72 μg/mL). Fractions 4 – 8 expressed promising in vitro hydrogen peroxide (H2O2) antioxidant activities with IC50 comparable with that of ascorbic acid and butylated hydroxytoluene. The phytochemical screening of fractions 4 – 8 revealed the presence of alkaloids, flavonoids, and phenolics, which could be responsible for the antioxidant activities. The results suggest that fractions obtained from Daucus carota L. seed extracts possess significant antioxidant potential.
Neural Network-Based System Identification for Quadcopter Dynamic Modeling: A Review

A quadcopter is a rotorcraft with a simple mechanical construction. It has the same hovering capability similar to the traditional helicopter, but it is easier to maintain. The quadcopter is hard to control due to its unstable system with highly coupled and non-linear dynamics. In order to design a robust control algorithm, it is crucial to obtain a precise quadrotor flight dynamics through system identification approach. System identification is a method of finding the mathematical model of the dynamics system using the input-output data measurement. Neural network (NN) based system identification is excellent alternative modeling because it reduces development costs and time by avoiding governing equations and large aerodynamic database. NN based system identification has successfully identified the quadcopter dynamics with good accuracy. This paper gives an overview of the characteristic of the quadcopter and presents a comprehensive survey of the modeling techniques used to determine the flight dynamics of a quadrotor with a particular focus on NN based system identification method. The presented research works have been classified into different categories such as the first principle modeling, system identification and implementation of NN based system identification in quadcopter platform. Finally, the paper highlights challenges that need to be addressed in developing efficient NN based system identification model for unmanned quadcopter system.
Design of a robust LMI-based model predictive control method for surge instability in interconnected compressor systems in the presence of uncertainty and disturbance

ABSTRACT Surge is the most significant instability observed in the compressors, and its control requires the exact dynamics of the compressor systems. Uncertainty in compressor characteristics and unknown opening percentage of the throttle and spillback valves, as well as disturbances in compressor’s flow and pressures, are among the major issues to be addressed in controller design for surge instability. Furthermore, in compressor systems that consist of several individual compressors, their reciprocal effects should also be taken into account. This paper presents an LMI-based decentralized robust model predictive control to ensure the stability of the compressor system against surge instability, uncertainty, and disturbance. The proposed scheme benefits from the optimized control signal with minimum computational complexity to overcome the destabilizing effects in a complex compressor system. The considered working class for this compressor system is a continuous-time nonlinear system. Through this method, the optimization problem is designed for a worst-case scenario. The implementation results of the presented robust controller for a compressor system, consisting of three parallel and series compressors, suggest the effectiveness of the presented method.
Berberine Improves Meat Quality and Carcass Traits in Broilers Challenged with Mycotoxins

Background and Aim: Mycotoxin-contaminated feed causes significant concern in poultry production and public health because of serious economic losses and health problems caused by them. Berberine hydrochloride (Berberine), a natural plant alkaloid derived from Chinese medicine, is characterized by diverse pharmacological effects. This study is designed to evaluate the effects of different levels of Berberine (BBR) on carcass traits and meat quality of broilers fed diets contaminated with Aflatoxin B1 (AFB) and Ochratoxin A (OCT). Methods: A 42-day floor pen trial was performed with 288 Ross 308 broilers. A randomized design, with 4 replicates of 8 birds each, was conducted with the following 9 treatments: (1) negative control diet with no additives (NC); (2) NC + 2 ppm AFB (positive control AFB; PCAFB); (3) NC + 2 ppm OCT (positive control OCT; PCOCT); (4) PCAFB + 200 mg/kg BBR; (5) PCAFB + 400 mg/kg BBR; (6) PCAFB + 600 mg/kg BBR; (7) PCOCT + 200 mg/kg BBR; (8) PCOCT + 400 mg/kg BBR; and (9) PCOCT + 600 mg/kg BBR. At the end of the experiment, from every group, eight birds were selected, slaughtered, and subjected to analyses. The analyzed parameters carcass and cut yields and meat quality according to water-holding capacity (WHC) and breast level MDA. Results: Both PCAFB and PCOTA diets decreased carcass relative weight, breast level MDA, and WHC values compared with the NC diet (p 0.05). Carcass efficiency in PCAFB and PCOTA treatments was lower than in the NC treatment (p˂0.05), and supplementation with BBR at multiple levels partially or fully reversed these effects. The addition of 600 mg/kg BBR to PCAFB diet increased carcass relative weight compared to PCAFB alone (p>0.05). Conclusion: These data provided supplementation of BBR (600 mg/kg) improves meat quality in broiler fed diet contaminated with mycotoxins. *Corresponding Author: Nazar Afzali; Email: nafzali@birjand.ac. ir Please cite this article as: Malekinezhad P, Afzali N, Farhangfar SH, Omidi A, Mohammadi A. Berberine Improves Meat Quality and Carcass Traits in Broilers Challenged with Mycotoxins. Arch Med Lab Sci. 2020;6:1-9 (e23). https://doi.org/10.22037/amls.v6. 33330
Polynomial-time plaintext recovery attacks on the IKKR code-based cryptosystems

Recently, Ivanov et al. proposed a new approach to construct code-based cryptosystems, namely the \begin{document}$ {\sf IKKR} $\end{document} public-key encryptions (PKE) in the International Workshop on Code-Based Cryptography (CBCrypto 2020) [ 9 ]. Unlike the usual construction in code-based encryption schemes which has restrictions on the Hamming weight of the error introduced into the ciphertext, the \begin{document}$ {\sf IKKR} $\end{document} approach allows error vectors of arbitrary weight being introduced into the ciphertext. Using this new approach, Ivanov et al. constructed two cryptosystems, namely the modified and the upgraded \begin{document}$ {\sf IKKR} $\end{document} -PKE. This paper aims to discuss the practical security of the \begin{document}$ {\sf IKKR} $\end{document} -PKE. In particular, we describe the weaknesses in the design of the public key used in the \begin{document}$ {\sf IKKR} $\end{document} -PKE. We exploit such weaknesses and propose two attacks to recover the plaintext in the \begin{document}$ {\sf IKKR} $\end{document} -PKE. The approach of our first attack is similar to the LCKN attack [ 12 ], whilst our second attack is more efficient than the LCKN attack. Our experimental results show that we can recover the plaintext from a given ciphertext in less than 176 milliseconds for schemes based on random Goppa codes and BCH codes.
Influence of meteorological conditions on sound propagation of a wind turbine in complex terrain

In this work the influence of different meteorological parameters on the sound propagation of a wind turbine in complex terrain is evaluated based on measurement data assimilated in the Vale de Cobrao (Perdigao, Portugal) throughout the NEWA-Project. Therefore, meteorological data in vicinity of the wind turbine as well as data of three microphones placed in distances of up to 900m from the wind turbine were evaluated. For the two near field microphones a very good correlation between the sound pressure levels and a strong dependency of the actual sound pressure level from the wind speed is found. The correlation between the near field and far field microphones is much less pronounced with a significantly larger variation of the data but still an increase in the sound pressure levels with the wind speed is found. Using data filtering, the measurements were compared for different meteorological situations. It is shown how the sound pressure levels in the far field differ among different meteorological situations for both the A-weighted levels and a single octave band.
Effect of unifaceted and multifaceted interventions on antibiotic prescription control for respiratory diseases: A systematic review of randomized controlled trials

Background: The global health system is improperly using antibiotics, particularly in the treatment of respiratory diseases. We aimed to examine the effectiveness of implementing a unifaceted and multifaceted intervention for unreasonable antibiotic prescriptions. Methods: Relevant literature published in the databases of Pubmed, Embase, Science Direct, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure and Wanfang was searched. Data were independently filtered and extracted by 2 reviewers based on a pre-designed inclusion and exclusion criteria. The Cochrane collaborative bias risk tool was used to evaluate the quality of the included randomized controlled trials studies. Results: A total of 1390 studies were obtained of which 23 studies the outcome variables were antibiotic prescription rates with the number of prescriptions and intervention details were included in the systematic review. Twenty-two of the studies involved educational interventions for doctors, including: online training using email, web pages and webinar, antibiotic guidelines for information dissemination measures by email, postal or telephone reminder, training doctors in communication skills, short-term interactive educational seminars, and short-term field training sessions. Seventeen studies of interventions for health care workers also included: regular or irregular assessment/audit of antibiotic prescriptions, prescription recommendations from experts and peers delivered at a meeting or online, publicly reporting on doctors’ antibiotic usage to patients, hospital administrators, and health authorities, monitoring/feedback prescribing behavior to general practices by email or poster, and studies involving patients and their families (n = 8). Twenty-one randomized controlled trials were rated as having a low risk of bias while 2 randomized controlled trials were rated as having a high risk of bias. Six studies contained negative results. Conclusion: The combination of education, prescription audit, prescription recommendations from experts, public reporting, prescription feedback and patient or family member multifaceted interventions can effectively reduce antibiotic prescription rates in health care institutions. Moreover, adding multifaceted interventions to educational interventions can control antibiotic prescription rates and may be a more reasonable method. Registrations: This systematic review was registered in PROSPERO, registration number: CRD42020192560.
The effectiveness of the Beneish model in the detection of accounting violations – the example of companies sanctioned by the Polish Financial Supervision Authority

The main purpose of the paper is to assess the effectiveness of the eight-factor Beneish model in detecting manipulations in the financial statements of public companies listed on the Warsaw Stock Exchange. The research sample consists of 27 enterprises that were sanctioned at least once by the PFSA for irregularities in compliance with the IAS/ IFRS principles in the period 2006-2018. Empirical analysis proved that in the selected group of enterprises, the original version of the Beneish model is characterized by a relatively low degree of usefulness, thus it should be considered as an average tool supporting the work of auditors, statutory auditors and stock exchange investors, and at the same time a starting point for the further search for instruments to detect accounting violations, developed and adapted to conditions of the Polish capital market
The Growth of Europa's Icy Shell: Convection and Crystallization

The thickness of Europa's icy shell, which controls its thermal and rheological structure, cannot currently be directly measured. However, it can be estimated through indirect methods, including geodynamic modeling. We simulate the crystallization of the ice shell from a liquid water ocean and its subsequent thermal equilibration in the presence of tidal heat. We evaluate the effects of solid‐state stagnant lid convection on the shell's thermal equilibrium thickness and shell formation timing. The thermal equilibrium thickness of the ice shell ranges from 5 to 30 km, depending on the imposed tidal flexure strain rate. The ice lithospheric thickness remains less than 8 km, independently of imposed tidal flexure strain rate, overall shell thickness, and surface temperature, suggesting the Europan ice lithospheric strength is globally uniform. Thermal convection significantly reduces the thermal equilibration time scale, with the Europan ice shell able to fully crystallize out from a liquid water ocean in less than 2 Myr. Heterogeneous thermal equilibrium thickness values across the satellite suggest that widespread crystallization and melting may occur at the base of the shell. Rapid melting and crystallization timing suggest that the young surface age of the Europan ice shell may be the result of rapid catastrophic whole‐shell melting and recrystallization entirely recycling the surface.