Miracle-dz/UniFAR-FTUs huggingface dataset:
The Experimental Study on Mechanical Behavior of Conveyor Belt Rubber Bearings

Fabric core conveyor belt rubber bearing (CBRB) with low cost and a simple manufacturing process has been proposed to further popularize seismic isolation technology in low-rise buildings, and four samples of such bearings have been produced, including four-layer, five-layer, five-layer with inner pattern and six-layer fabric core CBRBs. The vertical compression and the compression shear test are carried out to evaluate the performances of the four bearings. Results show that the vertical stiffness of the CBRB increases as the number of fabric core layer increases, while the damping ratio decreases, and the bearings can withstand a vertical pressure of 10 MPa. In addition, these bearings work very well within 100% shear strain, and the horizontal stiffness of the bearings decreases with increasing shear strain. In the meantime, as the number of fabric core layer increases, the effective horizontal stiffness of the bearings increases under 4 MPa compressive stress, and the damping ratio coefficient of the bearing is about 15%, when bearing sliding does not occur. The ultimate shear strain reached up to 200% for the four-layer bearing with obvious interlayer cracks, which means that the bonding quality between layers is the key influencing factor on the ultimate shear strain. In short, the proposed low-cost bearing has low horizontal stiffness and good energy dissipation capacity, so it is suitable for low-rise buildings in economically underdeveloped, high intensity areas, which can significantly improve their earthquake resistance and reduce casualties and property losses.
THE DEVELOPMENT AND RESEARCH TREND OF USING DSAS TOOL FOR SHORELINE CHANGE ANALYSIS: A SCIENTOMETRIC ANALYSIS

The sensitivity of research on shoreline monitoring of coastal erosion is justified due to high density population, climate changes impacts, and intensified development, which are squeezing the ecosystem of coastal zones around the world. The budding fields of optical remote sensing such source medium and high-resolution satellite imagery in conjunction with avenue programming of Digital Shoreline Analysis System (DSAS) are widely used extended tools for analyzing the rate of coastal erosion and deposition. Although, there is a geometric growth in the research published documents in the last decades after the start of DSAS in 1990, but its broad insight into global peer groups, its scientometrics, pattern and trends in research activities in monitoring coastal erosion or shoreline change is missing. To breach this gap, 99 bibliographic records published in the Web of Science core collection for the period of 1994–2019 were analyzed using the VOSviewer software. Further, the analysis about global insight of research activities using DSAS in shoreline change analysis focused on (i) general scientometric characteristics of published output, (ii) experts in research themes and their cooperation, (iii) publishable journal list, (iv) institutional distribution and international collaboration, and (v) potential hotspot areas. This systematic analysis of the theme, graphically using rigorous scientmetric tools, will help coastal researchers to visualize the current research trends and prospective guideline for future research. The output of the present study will provide a robust road map to early carrier researchers for their advance inquiry in these fields in coming days.
Palestinian mothers in Israel: Can a welfare-to-work program enhance their social capital?

This study analyzes the experience of Palestinian mothers in Israel participating in a non-mandatory welfare-to-work program. The goal is to explore the perceptions of these women and their trainers about the ways the program helps enhance the mothers’ social capital. The study is based on in-depth interviews of 30 mothers and three trainers who participated in the program. The findings expose a range of mothers’ voices. The three main ones are: encouraging empowerment more than Work First; encouraging ‘maternal’ jobs; and encouraging partnership and group cohesion. The combined voices of participants and trainers deepen the significance of these findings, as the latter play a meaningful role in enhancing the social capital and networking capabilities of the former, who suffer from multiple sources of exclusion, including a vulnerable ethno-national status, poverty, low income and gender.
In vitro regeneration and conservation of an endangered medicinal plant sarpagandha (Rauvolfia serpentina L.)

An investigation on in vitro plant regeneration of endangered medicinal plant Rauvolfia serpentina L. was carried out. The newly emerging leaves were used as explants, which were transferred to half strength MS medium along with various combinations of growth regulators for callus regeneration. The half strength MS medium fortified with 5.0 mgl-1 2,4-D and 2.0 mgl-1 NAA was found most suitable for qualitative (light green colour) and quantitative callus production (86%). The shoot regeneration (81.67 %) and elongation (5.67 cm) was highest in full MS medium supplemented with 6.0 mgl-1 BAP and 2.0 mgl- 1 GA3 and consequently, the root initiation was highest (55%) in half strength MS medium containing 3.0 mgl-1 IBA. The regenerated plantlets were preserved for nine months in good condition through repeated subculturing on full strength MS media. The callus were kept in storage by repeated sub-culturing in in vitro condition on MS medium fortified with 0.2 mgl-1 2,4-D and the preservation could be extended for nine months in its best condition. It was evident that, the regeneration capacity of callus was reduced as the time of callus storage was increased.
Material Allowable Generation and AM Process Parameters Effect on Porosity

Additive manufacturing (AM) process methods such as powder bed fusion (LPBF) of metal powder layers can produce layered material systems with designed microstructures, which may exhibit scatter in mechanical properties (e.g., lower yield and lower failure strain), corrosion due to porosity and print anomalies. This study shows the development of AM process simulation to predict As-built material characteristic and their scatter comparing with experimental test data. ICME (Integrated Computational Materials Engineering) was used to simulate yield, ultimate, strain, and reduction of the area of sample AM. The method was extended to predict oxidation and damage of as-built parts. The samples were fabricated horizontally and vertically in multiple and scatter directions to find the effect on the mechanical properties such as ultimate tensile strength (UTS) and yield strength (YS). The probabilistic sensitivities show that in order for the next-generation technology to improve the strength of 3D printed materials, they must control the void volume fraction (trapped gas) and orientation of voids. The studied 3D print modality processes: (a) LPBF of AlSi10Mg, and (b) Electron Beam (EBM) of Ti-6Al-4V materials are shown to be over 99.99% reliable. The statistics of 3D printed Ti-6Al-4V have been observed for room and high temperature (RT/HT). The ICME Material Characterization and Qualification (MCQ) software material model prediction capabilities were used to predict (a) Material Allowable, a variation in Stress Strain Curves Characteristic Points and Residual Stress due to air particle (void/defect) shape and size and orientation. The probabilistic simulation computes Cumulative Distribution Function (CDF) and probabilistic sensitivities for YS, UTS, and %Elongation as well as A and B basis allowable of the As-Built 3D printed material and; and (b) Fracture Control Plan fracture toughness determination, and fatigue crack growth vs. stress intensity.
A Comparative study on Handwritten Devanagari Character Recognition

Handwritten text recognition is a challenging task because of the vast changes in writing styles. In India, a massive number of people use Devanagari Script to write their documents, but due to large complexity, research work accomplished on this script is much lesser as compared to English script. Hence, recognition of handwritten Devanagari Script is amongst the most demanding research areas in the field of image processing. Feature extraction and recognition are key steps of OCR which affects the accuracy of the character recognition system. This paper gives a comparative study on distinct techniques used for feature extraction and classification by the researchers over the last few years.
A Comparison of the Mechanism of TOC and COD Degradation in Rhodamine B Wastewater by a Recycling-Flow Two- and Three-dimensional Electro-Reactor System

Dye wastewater, as a kind of refractory wastewater (with a ratio of biochemical oxygen demand (BOD) and chemical oxygen demand (COD) of less than 0.3), still needs advanced treatments in order to reach the discharge standard. In this work, the recycling-flow three-dimensional (3D) electro-reactor system was designed for degrading synthetic rhodamine B (RhB) wastewater as dye wastewater (100 mg/L). After 180 min of degradation, the removal of total organic carbon (TOC) and chemical oxygen demand (COD) of RhB wastewater were both approximately double the corresponding values in the recycling-flow two-dimensional (2D) electro-reactor system. Columnar granular activated carbon (CGAC), as micro-electrodes packed between anodic and cathodic electrodes in the recycling-flow 3D electro-reactor system, generated an obviously characteristic peak of anodic catalytic oxidation, increased the mass transfer rate and electrochemically active surface area (EASA) by 40%, and rapidly produced 1.52 times more hydroxyl radicals (·OH) on the surface of CGAC electrodes, in comparison to the recycling-flow 2D electro-reactor system. Additionally, the recycling-flow 3D electro-reactor system can maintain higher current efficiency (CE) and lower energy consumption (Es).
Unemployment-based Capital Asset Pricing Model

In this paper, we wish to examine how prospects of unemployment might change predictions of consumption based CAPM with regards to equity premium and term structure of interest. In particular, instead of agents having varied consumption growth, we study agents with probability of losing significant portion of their consumption. Thus, volatility of unemployment determines risk in the economy, rather than volatility of the consumption. Within framework of Epstein-Zin utility function, our model correctly predicts term structure premium and equity premium. In particular, the model predicts one-year risk-free rate of 1.71%, 30-year risk-free rate of 3.17% and equity rate of 7.33% given parameter of risk aversion of 1,2, EIS of 1,54, and time discount factor of 0.9578. Additionally, we study importance of third moments in our model and discover new pricing factor that is missing in current skewness models. Empirical tests under various conditions confirm statistical significance of our factor. Finally, we utilize our model to predict market changes based on shifts in term structure and then empirically verify model predictions. This paper demonstrates that standard C-based CAPM is more than enough to predict observed term structure and equity premium and no model modification is required if proper consumption variation statistics is used.
Pelatihan Kewirausahaan Kreatif Berbasis Manajemen Pemasaran Digital bagi UMKM Di Wilayah Rawamangun

Usaha mikro, kecil dan menengah telah menjadi salah satu tulang punggung perekonomian Indonesia dan ASEAN. Presiden Jokowi Widodo memiliki harapan bahwa para pelaku bisnis usaha kecil ini dapat menjadi tumpuan utama dalam membangun keberlangsungan dan kemajuan bisnis di Indonesia. Dalam kondisi saat ini pemanfaatan sarana teknologi, informasi dan komunikasi dalam melakukan perdagangan secara elektronik adalah keharusan yang dilakukan oleh para pengusaha mikro, kecil dan menengah (UMKM) dalam upaya meningkatkan omset penjualan dan memberikan nilai lebih kepada konsumen. Kegiatan pengabdian masyarakat bertujuan untuk merubah para pelaku UMKM disekitar wilayah Rawamangun untuk menjadi seorang wirausaha kreatif yang memiliki nilai ekonomis tinggi serta bisnis yang memiliki keberlanjutan dalam meningkatkan keterampilan dan pengetahuan yang secara mendalam mengenai pemanfaatan teknologi informasi, lebih khususnya pada perdagangan elektronik. Metode yang digunakan pada pelatihan ini berupa ceramah, praktik, tanya-jawab dan studi kasus dengan menjelaskan konsep dan strategi pemasaran digital, serta coaching yang efektif serta mendapatkan umpan balik dari para peserta. Kegiatan ini juga memberikan manfaat berkelanjutan bagi peserta dalam pengarahan dan konsultasi bisnis secara intensif dalam menjalankan usaha mikro berbasis online demi meningkatkan potensi kerjasama yang luas untuk membangun ekonomi rakyat.
Expressing breastmilk while on break and in private: a qualitative study of Malaysian first-time mothers

ABSTRACT Employment and breastfeeding among first-time mothers in Malaysia remain problematic, due, in part, to the lack of clear policies and policy implementation. This article, based on a phenomenological study utilising dyadic interviews with eight participants and twelve interviews, explores the experience of Malaysian first-time parents managing both breastfeeding and employment. The findings illustrate that although breastfeeding is considered a mother's responsibility and is regarded as the preferred and superior form of infant feeding, there is often no designated time or space for expressing milk, causing many participants to use their lunch or tea breaks for this purpose. While study participants describe themselves as feeling supported by their partners, families, colleagues, and workplace superiors to breastfeed at work, they must nonetheless manage the perceived contradiction between the lactating body and the ‘male working body’. For these participants, this entails deftly negotiating the demands of being a good mother with a successful performance of the good worker role. Future research implications include a focus on identifying the roles and possible roles of fathers in infant feeding, and guidelines around monitoring breastfeeding breaks and spaces for mothers at work.
Motion Planning and Coordinated Control of Underwater Vehicle-Manipulator Systems with Inertial Delay Control and Fuzzy Compensator

This paper presents new motion planning and robust coordinated control schemes for trajectory tracking of the underwater vehicle-manipulator system (UVMS) subjected to model uncertainties, time-varying external disturbances, payload and sensory noises. A redundancy resolution technique with a new secondary task and nonlinear function is proposed to generate trajectories for the vehicle and manipulator. In this way, the vehicle attitude and manipulator position are aligned in such a way that the interactive forces are reduced. To resist sensory measurement noises, an extended Kalman filter (EKF) is utilized to estimate the UVMS states. Using these estimates, a tracking controller based on feedback Linearization with both the joint-space and task-space tracking errors is proposed. Moreover, the inertial delay control (IDC) is incorporated in the proposed control scheme to estimate the lumped uncertainties and disturbances. In addition, a fuzzy compensator based on these estimates via IDC is introduced for reducing the undesired effects of perturbations. Trajectory tracking tasks on a five-degrees-of-freedom (5-DOF) underwater vehicle equipped with a 3-DOF manipulator are numerically simulated. The comparative results demonstrate the performance of the proposed controller in terms of tracking errors, energy consumption and robustness against uncertainties and disturbances.
The trade-off between growth and reproduction in an alpine herbaceous plant along an elevation gradient

The relationship between growth and reproduction is a fundamental aspect of the reproductive strategy for a plant. Using an allometric perspective for both vegetative and reproductive traits allows us to understand and predict the impact of environmental change on a plant species. Here, we investigated the allometric relationships in Gentiana rigescens Franch. ex Hemsl. individuals at non-flowering and flowering stages along an elevation gradient in southwest China. We found that the mean values of the metrics were significantly higher in G. rigescens plants at reproductive stage than those at vegetative stage. However, allometric analysis showed that the plants in vegetative stage had higher root and stem biomass than those in reproductive stage at a given size, while leaf biomass showed fixed allometric trajectory. The height of G. rigescens was higher in flowering individuals than that in non-flowering individuals at small size, while the contrary was obtained at large size. Analysis of covariance showed that the root biomass was not affected by elevation, whereas the stem biomass, leaf biomass, and total biomass increased with increasing elevation. In conclusion, allocating biomass to roots and stems in G. rigescens individuals reduced when flowering occurred, but the resource investment in leaves was not changed. As the total biomass increased with increasing elevation, the effects of elevation on leave and stem biomass of G. rigescens could be partly size-dependent.
Strategic Choice and Performance Empirical Evidence from Mission Hospitals in Kiambu County Kenya

The modern business environment is highly dynamic and the management of every firm is compelled to make effective decisions for the company to remain relevant. Strategic choice is a critical element in the process of formulating a strategy. As a result of the threats that organizations are exposed to, organizations are adopting strategic choices to enhance performance. Despite the challenges that mission hospitals in Kiambu County encounter in the health industry, they are still luring away clients from public hospitals. Therefore, this study’s main objective was to establish the influence of strategic choice on performance of mission hospitals in Kiambu County. Specifically, the study embarked on four objectives; to establish the influence of organizational structure on the performance of mission hospitals in Kiambu County; to determine the influence of technology on performance of mission hospitals in Kiambu County; to determine the influence of leadership on the performance of mission hospitals in Kiambu County; and to establish the effect of resource acquisition on performance of mission hospitals in Kiambu County. The theories that guided this study were the agency theory, open systems theory, contingency theory, and the resource based theory. This study adopted a descriptive design. The study targeted the big four mission hospitals Africa Inland Church Kijabe Mission Hospital; Africa Inland Church cure International Hospital; Presbyterian Church of East Africa. Kikuyu Hospital; and Nazareth Hospital) in Kiambu County. The target population was 80 senior, middle, and operational managers and a census was employed. A semistructured questionnaire was utilized for data collection. Regression results revealed that organizational structure, technology, leadership and resource acquisition were highly significant on the performance of mission hospitals in Kiambu County in Kenya. The study recommended that mission hospitals in Kiambu County should create organizational structures which are in line with the goals being pursued by the mission hospitals. On technology the study recommended for effective management and use of technology infrastructure planning, on leadership, the researcher recommends that leadership development be cascaded to all level of employees/management. This is to help the mission hospitals achieve its objectives on service delivery. On resource acquisition the study recommends that managers should look for ways of motivating human resource in the organization for better performance. Mission hospitals should encourage more training and development of employees to enhance knowledge and skills if they want to sustain performance.
Spatiotemporal‐based sentiment analysis on tweets for risk assessment of event using deep learning approach

Social media plays a vital role in analyzing the actual emotions of people after and during a disaster. Sentiment analysis is a method to detect a pattern from the emotions and feedback of the user. The main objective of the proposed work is to perform sentiment analysis on the tweets on a specific disaster context for a particular location at different intervals of time. LSTM network with word embedding algorithm is used to derive keywords based on the history of tweets and the context of the tweets. The proposed algorithm risk assessment sentiment analysis (RASA) uses the keywords generated from the network to classify the tweets and sentiment score for each location is identified. The model is validated with various state‐of‐art algorithms, namely, support vector machine, Naive‐Bayes, maximum entropy, logistic regression, random forest, XGBoost, stochastic gradient descent, and convolution neural networks in 2‐fold scenario: one for binary class and the other multiclass with three target classes. The results infer that the proposed RASA performs better in a binary class scenario with an increase of 1% when compared with XGBoost and 30% in multiclass scenario on an average when compared with all the other techniques. The model helps the government to take preventive measures to manage the posteffect of the disaster event in a location.
Comparison of a Triple Inverted Pendulum Stabilization Using Optimal Control Technique

In this paper, modelling design and analysis of a triple inverted pendulum have been done using Matlab/Script toolbox. Since a triple inverted pendulum is highly nonlinear, strongly unstable without using feedback control system. In this paper an optimal control method means a linear quadratic regulator and pole placement controllers are used to stabilize the triple inverted pendulum upside. The impulse response simulation of the open loop system shows us that the pendulum is unstable. The comparison of the closed loop impulse response simulation of the pendulum with LQR and pole placement controllers results that both controllers have stabilized the system but the pendulum with LQR controllers have a high overshoot with long settling time than the pendulum with pole placement controller. Finally the comparison results prove that the pendulum with pole placement controller improve the stability of the system.
Method for estimating the effective data rate in 802.11 channels by using a monitoring algorithm

The rapid spread of 802.11 wireless technologies and the emergence of a significant number of networks leads to a large number of negative factors that can significantly impair the transmission characteristics of wireless transmission channels. The aim of this research is to develop a method estimating the effective rate of information transmission in 802.11 channels using a monitoring algorithm to improve the design efficiency of wireless networks. During the study, statistical processing models and methods for averaging research results were used. Novel mathematical models have been developed to estimate the effective rate of information transmission, taking into account monitoring parameters and destabilizing factors for 802.11 wireless channels. Models allow us to estimate the effective rate of information transmission at any location of user device in the coverage area of the network in real-time. The peculiarity of such models is consideration of fluctuations in monitoring parameters, which is estimated by the confidence interval between changing the primary informational parameter to determine the suitability of the channel to transmit any type of traffic. Based on the mathematical models obtained, the provisions of a new method for estimating the effective rate of information transmission in the channel of standard 802.11 were formed using a monitoring algorithm, which has high estimation, ease of implementation, taking into account the maximum possible number of destabilizing factors and possibility of adaptation for any other wireless channel standards.