Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid intelligent machine systems: design, modeling and control

To further improve performances of machine systems, mechatronics offers some opportunities. Traditionally, mechatronics deals with how to integrate mechanics and electronics without a systematic approach. This thesis generalizes the concept of mechatronics into a new concept called hybrid intelligent machine system. A hybrid intelligent machine system is a system where two or more elements combine to play at least one of the roles such as sensor, actuator, or control mechanism, and contribute to the system behaviour. The common feature with the hybrid intelligent machine system is thus the presence of two or more entities responsible for the system behaviour with each having its different strength complementary to the others. The hybrid intelligent machine system is further viewed from the system's structure, behaviour, function, and principle, which has led to the distinction of (1) the hybrid actuation system, (2) the hybrid motion system (mechanism), and (3) the hybrid control system. This thesis describes a comprehensive study on three hybrid intelligent machine systems. In the case of the hybrid actuation system, the study has developed a control method for the "true" hybrid actuation configuration in which the constant velocity motor is not "mimicked" by the servomotor which is treated in literature. In the case of the hybrid motion system, the study has resulted in a novel mechanism structure based on the compliant mechanism which allows the micro- and macro-motions to be integrated within a common framework. It should be noted that the existing designs in literature all take a serial structure for micro- and macro-motions. In the case of hybrid control system, a novel family of control laws is developed, which is primarily based on the iterative learning of the previous driving torque (as a feedforward part) and various feedback control laws. This new family of control laws is rooted in the computer-torque-control (CTC) law with an off-line learned torque in replacement of an analytically formulated torque in the forward part of the CTC law. This thesis also presents the verification of these novel developments by both simulation and experiments. Simulation studies are presented for the hybrid actuation system and the hybrid motion system while experimental studies are carried out for the hybrid control system.
Optimization for Coal Heavy Haul Transportation Assembly Scheme Problem Using Genetic Algorithm

Thispaper presents aCoal Heavy Haul Transportation Assembly Scheme Problem (CHASP), in which the time consuming functions, assembly number constraints and assembly weight constraints etc are considered. The time consuming costs consist of residence time and disassembly time. The disassembly time functions are usually nonlinear functions of unit train departure directions. Then, a nonlinear 0-1 programming is formulated for the problem and solved by lingo mathematical solver. Considering the complexity of the problem, a kind ofGenetic Algorithm is proposed to solve it. Extensive computational experiments are taken on randomly generated data, the detailed results are given and the genetic algorithm is shown to be efficient.
Possibility of Using some Beneficial Elements Stimulating Non-Biological N-Fixation Process As Partial Substitutes of Mineral Nitrogen under Poor Soils. إمکانية استخدام بعض العناصر المفيدة المحفزة لعملية التثبيت الغير حيوي للنيتروجين کبدائل جزئية للنيتروجين المعدني في الأراضي الفقيرة.

Due to the environmental hazards of mineral N-fertilizers, finding an effective alternative to it is becoming necessary. So a field experiment was executed in sandy soil condition to evaluate the possibility of using titanium (Ti) and vanadium (V) as a substitute for mineral N-fertilizers. Faba bean was cultivated as an experimental plant based on its significant response to nitrogen fixation process either biological or non-biological. Treatments were different levels of ammonium sulphate (20.5% N) which represented the main plots [100, 75 and 50% of nitrogen recommended dose (NRD) as starter, equivalent to 30, 22.5 and 15 kg N fed -1 , respectively] and different levels of Ti and V which represented the sub plots[ 5.0 and 10.0 mgL -1 for both separately in addition to control (plants without Ti and V)]. The findings showed that plants treated with both Ti and V at both studied rates under ammonium sulphate fertilizer at rate of 75% of NRD realized plant performance at period of 65 days from sowing and at harvest stage better than that fertilized with ammonium sulphate at rate of 100% of NRD alone without both Ti and V and this may be due to their ability in non-biological N-fixation process taking into consideration that rate of 5 mg L -1 for both studied elements was better than rate of 10 mg L -1 as well as it can be noticed that Ti was superior compared to V. Generally, it can be concluded that both Ti and V possess a vital role in non-biological N-fixation process.
Deep Learning Based on Hierarchical Self-Attention for Finance Distress Prediction Incorporating Text

To detect comprehensive clues and provide more accurate forecasting in the early stage of financial distress, in addition to financial indicators, digitalization of lengthy but indispensable textual disclosure, such as Management Discussion and Analysis (MD&A), has been emphasized by researchers. However, most studies divide the long text into words and count words to treat the text as word count vectors, bringing massive invalid information but ignoring meaningful contexts. Aiming to efficiently represent the text of large size, an end-to-end neural networks model based on hierarchical self-attention is proposed in this study after the state-of-the-art pretrained model is introduced for text embedding including contexts. The proposed model has two notable characteristics. First, the hierarchical self-attention only affords the essential content with high weights in word-level and sentence-level and automatically neglects lots of information that has no business with risk prediction, which is suitable for extracting effective parts of the large-scale text. Second, after fine-tuning, the word embedding adapts the specific contexts of samples and conveys the original text expression more accurately without excessive manual operations. Experiments confirm that the addition of text improves the accuracy of financial distress forecasting and the proposed model outperforms benchmark models better at AUC and F2-score. For visualization, the elements in the weight matrix of hierarchical self-attention act as scalers to estimate the importance of each word and sentence. In this way, the “red-flag” statement that implies financial risk is figured out and highlighted in the original text, providing effective references for decision-makers.
Vision-based adaptive prediction, planning, and execution of permissible and smooth trajectories for a 2DOF model helicopter

Vision-based control of Unmanned Aerial Vehicles (UAV) is gaining a global interest. Recent quantum leaps in the development of fast image acquisition–processing tools are making vision sensors omnipresent. Information obtained from the on-board imaging sensor of a UAV can be used for mapping the environment, localizing the UAV, visual odometry, and tracking pre-specified trajectories and (or) way points. The information obtained through vision sensors can be either fused with those obtained from a GPS or can be used in GPS-deprived scenarios such as indoor applications. A vision-based control strategy based on an adaptive prediction, planning, and execution framework is proposed with the objective to smoothly servo–track an object in near optimal time. A class of C2 continuous quintic polynomial based trajectories is planned at a higher level first taking the maximum permissible acceleration of the flyer into account. At a lower level, a Linear Quadratic regulator is used to track the planned trajectory.
The Land Snail, Eobania vermiculata, as a Bioindicator of the Heavy Metal Pollution in the Urban Areas of Sulaimani, Iraq

Land snails are crucial consumers in the terrestrial environment and beneficial significant bioindicators to evaluate the chemical impact in the ecosystem, especially on urban lands. The present study aimed to investigate the concentration of heavy metals such as As, Cr, Ni, Pb, and Zn in urban soil and study whether Eobania vermiculata acts as a bioindicator for heavy metal contamination in an urban area. Thirty soil and snail samples in triplicate from each sampling site were taken from the urban areas of Suliamani. After a microwave-assisted digestion procedure, every sample was analyzed by inductively coupled plasma-optical emission spectrometry. Results showed that the concentration of chromium (Cr) in each snail sample was significantly high. The maximum Cr concentration (15.87 mg kg−1) was recorded in the snail sample collected from Ali Kamal Park, which was adjacent to a very crowded traffic road. The As concentration in snail samples ranged from 0.08 to 1.004 mg kg−1, and it was below the permissible limits. However, the concentrations of heavy metals in urban soil locations were below their background measurements, except for nickel (Ni) which was above the permissible limits. The safest site in the study area was Chaviland 1, while the most contaminated site was the Ha-wary Shar Park. The snails bioaccumulated metals in their tissues in the following order, Cr > Zn > Ni, and this bioaccumulation occurred more on the main road locations, which represented potentially contaminated places due to anthropogenic activities. Moreover, there was no correlation among the heavy metals within the soil samples when compared to the similar metals in the snail samples, due to the low concentration of heavy metals in soil, excluding Ni, from where the snail samples were collected. Consequently, the land snail, E. vermiculata, is an appropriate sentinel organism for some metals, mainly for Cr, and the bioindicator monitoring with this snail should be extended to mixtures of heavy metals, since such relationships frequently occur in soil.
Drawing a double jeopardy line

This technical note describes the process for drawing a double jeopardy line as it would be estimated by the Dirichlet model. The resultant graph is an x-y plot of penetration and purchase frequency for brands of different market share under a given set of category conditions. Previous analyses show double jeopardy to be an approximately linear effect but the extrapolation inherent in this approach demonstrates the nonlinearity of the effect as brands approach high levels of penetration.
Electrical and mechanical modeling of embedded capacitors

Integral passives have many advantages, such as: improving packaging efficiency and electrical performance, reducing the use of printed wiring board (PWB) real estate, eliminating assembly to board, minimizing solder joint failure and enhanced reliability. The objective of this research is to reduce the size and enhance the performance of a multi-chip-module (MCM) used in aerospace accelerometers and gyroscopes by incorporating all the discrete components into the low-cost printed wiring board MCM substrate. To achieve this goal, we intend to use the low temperature process to incorporate decoupling capacitors directly into the substrate during the PWB manufacturing process. Computer simulation and modeling of embedded capacitors were carried out to predict the capacitance range, fabrication tolerance, the interference between adjacent capacitors and the effects of vias. The commercial finite element software ANSYS was used for the modeling work, which includes electric and thermomechanical analyses of embedded capacitor with/without via and the interference between two adjacent capacitors. Attention was given to the effects of different dielectric constants and geometry of the embedded capacitors. FEM model provides a good picture of the distribution, electrical performance and tolerance of capacitors for the design and manufacturing process.
Research on the performance of high-voltage insulators in polluted atmospheres

The paper describes the work which has been carried out at the Croydon Insulator Testing Station during the last 15 years on the performance of insulators in humid and polluted atmospheres. Various types of line and substation insulators have been investigated, and the results obtained with insulators for working voltages of up to 380 kV are presented. Methods of surface treatment to improve insulator performance are also discussed. Work on experimental insulators made from plastics is described. An account is given of recent work on insulators for high-voltage d.c. operation. The use of artificial salt-pollution tests to simulate service conditions is also discussed.
Design of a 1×2 CPW Fractal Antenna Array on Plexiglas Substrate with Defected Ground Plane for Telecommunication Applications

In this paper, a fractal antenna array for telecommunication applications is presented. The proposed antenna array is realized on a Plexiglas substrate, has 1×2 radiating elements, and dimensions of 170mm×105mm. The antenna array is composed of two Koch Snowflake patches and is fed by a Coplanar Waveguide (CPW) transmission line. Radiating elements and the ground plane are printed on the top side of the substrate. Defected Ground Structure (DGS) technique is employed to enhance the bandwidth and improve the impedance matching. The proposed antenna array operates at two frequency bands, 1.08-1.32GHz covering the GPS band and 1.7-3.7GHz covering the GSM 1800/1900, UTMS, Bluetooth, LTE, and WiMAX bands. In addition, the antenna has a good performance with efficiency and peak gain of 82% and 6.3dB respectively. These characteristics allow the antenna to be an attractive candidate for telecommunication systems. Design and analysis of different structures were carried out with Ansys HFSS.
MODIFICATION OF MICROCLIMATE CONDITIONS FOR IMPROVING TOMATO PLANT GROWTH COMPONENTS AND WATER USE EFFICIENCY

W. M. A. Ismail, M. M. Hegazy, K. F. El-Bagoury, W. M. Sultan, M. M. Mohamed 1 Ph.D. Student, Ag. Eng. Dept., Fac. of Ag. , Ain Shams U. , Egypt. 2 Prof. of Ag. Eng., Ag. Eng. Dept., Fac. of Ag. , Ain Shams U. , Egypt. 3 Head of Res., Field Irrigation Eng. Dept., Ag. Eng. Res. Inst. , Ag. Res. Center, Egypt. 4 Prof. of Soil Science, Soil and Water Science Dept., Fac. of Ag. , Ain Shams U. , Egypt. * E-mail: wafaa.mahmoud1990@gmail.com
Exploring the action of new FimH inhibitors against CTX– 15 enzyme by enzoinformatics approach: A plausible arsenal against drug-resistant uropathogenic bacterial strains

Purpose: To explore the potency of FimH inhibitors against CTX-M β-lactamase enzyme type 15, in view of the increasing prevalence of CTX-M 15 in uropathogenic strains which has reduced the treatment options to minimal.Method: FimH inhibitors were targeted against CTXM-15 by a molecular docking approach. Thereafter, the best ligand-target confirmation was selected and analyzed using LIGPLOT+ Version v.2. 1. The hydrophobic and hydrogen bonding among the catalytic site amino acids of CTXM-15 and the FimH inhibitors were analyzed and 3-D structures were converted into 2-D images by LIGPLOT algorithm.Results: Out of all the FimH inhibitors tested, 3′-chloro-4′- (α-D-mannopyranosyloxy) biphenyl-4- carbonitrile, para-biphenyl-2-methyl-3′-methylamidemannoside, para-biphenyl-2-methyl-3′,5′dimethylamide-α-D-mannoside, and thiazolylamino mannoside exhibited better interaction with the CTX-M15 active site than the positive control avibactam. Moreover, in CTX-M 15, the amino acid residues, Ser70, Tyr105, Ser130, Asn132, Thr216, Thr235, Gly236, and Ser237 were commonly interacting with these FimH inhibitors as well as avibactam.Conclusion: The predicted findings suggest that these FimH inhibitors could be explored as potential CTX-M 15 inhibitors to cope-up with resistance issues of uropathogenic bacteria in the form of an alternate strategy.
Efficacy and safety of ixazomib maintenance therapy for patients with multiple myeloma: a meta-analysis

ABSTRACT Objectives Multiple myeloma(MM) is a malignant plasma cell disease. Maintenance treatment is beneficial to prolong survival time in patients with MM. Ixazomib was approved for the treatment of relapsed or refractory MM in combination with lenalidomide and dexamethasone. Here, we carried out a meta-analysis to determine the efficacy and safety of ixazomib maintenance therapy. Methods Several databases were searched including PubMed, Web of Science, Embase, the Cochrane Library, etc. The last search dated back to July, 2020. Three clinical trials with a total of 1440 participants with newly diagnosed MM were included. Results and conclusion The pooled HR of progression-free survival (PFS) was 0.69 (95% CI = 0.59–0.79), which suggested ixazomib maintenance therapy could prolong PFS remarkably. In addition, ixazomib was effective in deepening remission (RR = 1.57, 95% CI = 1.26–1.96). But it could not significantly prolong PFS in cytogenetic high-risk patients (HR = 0.74, 95% CI = 0.47–1.00). In terms of adverse reactions, our analysis revealed higher incidences of grade 3–4 thrombocytopenia (RR = 7.47, 95% CI = 2.06–27.06), neuropathy (RR = 1.48, 95% CI = 1.14–1.92), grade 3–4 infections (RR = 1.77, 95% CI = 1.21–2.59) and gastrointestinal disorders (RR = 1.48, 95% CI = 1.32–1.66). There was no significant correlation between the use of ixazomib and grade 3–4 neutropenia (RR = 1.46, 95% CI = 0.77–2.78, p = 0.25) or the occurrence of new primary malignant tumor (RR = 0.88, 95% CI = 0.53–1.46, p = 0.62). Additionally, more RCTs are needed for better choice of treatment regimen.
DRIVING LICENCES AND KNOWN USE OF LICIT AND ILLICIT DRUGS

This report determines whether and how authorities responsible for issuing and renewing driving licences in eight EC Member States (Belgium, Denmark, France, Germany, Italy, Spain, The Netherlands and United Kingdom) are in fact meeting their present obligation to ascertain applicants' lack of impairment due to the use of illicit drugs or drugs used for legitimate medicinal purposes. Specific attention was given to know whether those authorities plan to modify screening procedures in response to the new EC Council Directive 91/439/EEC of 29 July 1991. (A)
Immunopathology of RSV: An Updated Review

RSV is a leading cause of respiratory tract disease in infants and the elderly. RSV has limited therapeutic interventions and no FDA-approved vaccine. Gaps in our understanding of virus–host interactions and immunity contribute to the lack of biological countermeasures. This review updates the current understanding of RSV immunity and immunopathology with a focus on interferon responses, animal modeling, and correlates of protection.
Bipolar and tetrapolar transfer impedance measurements from volume conductor

Bipolar and tetrapolar impedance measurements from a volume of biological tissue are compared. In the bipolar case, sensitivity is always positive and decreases with depth. However, for tetrapolar measurements the mean sensitivity is found to be zero over the surface plane, rising to a maximum at a depth proportional to electrode spacing.
TeachOpenCADD 2022: open source and FAIR Python pipelines to assist in structural bioinformatics and cheminformatics research

Abstract Computational pipelines have become a crucial part of modern drug discovery campaigns. Setting up and maintaining such pipelines, however, can be challenging and time-consuming—especially for novice scientists in this domain. TeachOpenCADD is a platform that aims to teach domain-specific skills and to provide pipeline templates as starting points for research projects. We offer Python-based solutions for common tasks in cheminformatics and structural bioinformatics in the form of Jupyter notebooks, based on open source resources only. Including the 12 newly released additions, TeachOpenCADD now contains 22 notebooks that cover both theoretical background as well as hands-on programming. To promote reproducible and reusable research, we apply software best practices to our notebooks such as testing with automated continuous integration and adhering to the idiomatic Python style. The new TeachOpenCADD website is available at https://projects.volkamerlab. org/teachopencadd and all code is deposited on GitHub.
Multiuser detection using time-varying scaling-parameter transiently chaotic neural networks

A time-varying scaling-parameter transiently chaotic neural network (TSTCNN) is proposed for multiuser detection in DS/CDMA systems. The TSTCNN has rich dynamics which can prevent the network from being trapped at local minima. Simulation results show that the performance of the TSTCNN-based detector can closely approximate that of the optimum detector.
GROWTH ANALYSIS OF PRETERM NEWBORNS WITH GASTROSCHISIS DURING HOSPITALIZATION IN A NEONATAL INTENSIVE CARE UNIT.

BACKGROUND Gastroschisis, especially complex type, prematurity and low birth weight are associated with a worse clinical outcome with higher mortality, higher incidence of sepsis and catheter-related infection, cholestasis, short bowel syndrome, greater number of days to achieve full diet, longer time of parenteral nutrition and longer hospitalization time. OBJECTIVE To evaluate the growth of preterm newborns with gastroschisis during their hospitalization in the neonatal intensive care unit. METHODS Descriptive study, based on a retrospective cohort (January 2012 to December 2018), including preterm newborns (gestational age less than 37 weeks) with simple and complex gastroschisis admitted in a tertiary neonatal intensive care unit. The following parameters were analyzed: maternal age, parity, type of delivery, birth weight, gender, gestational age, nutritional adequacy, type of gastroschisis, fasting time, parenteral nutrition time, time until achieving full enteral nutrition, hospitalization time, weight gain and outcome. The results were expressed in percentage, average, and median. RESULTS A total of 101 newborns with gastroschisis were admitted, of which 59.4% were premature (80.7% of late preterm infants). From the maternal data, the mean age was 21.2 years and 68.3% were primiparous. Regarding childbirth: 80% were cesarean sections. From newborns: the average birth weight was 2137 g, 56.6% were female, the average gestational age was 34.8 weeks, the average weight gain was 20.8 g/day during hospitalization and 83.3% were discharged from the hospital. CONCLUSION The growth analysis by weight gain (grams/day) during hospitalization in the intensive care unit showed that more than 90% of the sample presented acceptable or adequate weight gain.
IMPLEMENTASI COMPLIANCE RISK MANAGEMENT SEBAGAI DECISION SUPPORT SYSTEM DALAM KEGIATAN PENAGIHAN DI DIREKTORAT JENDERAL PAJAK

Penelitian ini dilakukan untuk menganalisis implementasi dari pemanfaatan Compliance Risk Management (CRM) Fungsi Penagihan sebagai decision support system dalam kegiatan penagihan di Direktorat Jenderal Pajak. Penelitian ini mengevaluasi implementasi CRM Fungsi Penagihan dengan metode usability inquiry yang mengevaluasi CRM dengan kuesioner, observasi, dan wawancara. Dari kuesioner diperoleh skor usability yang mencerminkan tingkat kegunaan dari CRM Fungsi Penagihan sebagai alat pengambilan keputusan dalam penentuan prioritas tindakan penagihan. Validitas skor tersebut dikonfirmasi dan diperdalam dengan observasi lapangan dan wawancara. Berdasarkan hasil penelitian, peran CRM Fungsi Penagihan dalam penentuan prioritas penagihan sejauh ini adalah sebagai trigger, bukan alat pengambilan keputusan utama. Sebab, CRM Fungsi Penagihan masih memiliki banyak kekurangan dalam hal efektivitas, efisiensi, dan akurasi yang utamanya disebabkan oleh pemutakhiran data yang lambat. Namun, CRM Fungsi Penagihan telah memiliki understandability, operability, dan learnability yang cukup memadai.