Miracle-dz/UniFAR-FTUs huggingface dataset:
Job Satisfaction of Private Banking Sector Employees in Bangladesh

The intention of this study is to explore the job satisfaction level in Private Banking Sector officers of Bangladesh. This study highlights the factors of job satisfaction of bank employees in our country also try to evaluate the influences of these factors on the ultimate job satisfaction. So, Private Banks employees are the target population of this research paper. This paper reveled some institutional factors like working environment, work condition, pay, fair treatment of employees, provision of loan, promotion policy and acknowledgement for good performance meaningfully effect on job satisfaction of private Bank employees. On the other hand, employee’s individual factors such as age and gender, marital status minorly effect job satisfaction of Bank employees. The study conveys the message to Bank management that they should give more attention to stimulate and uphold the human resources in banking sector in Bangladesh. For attaining decisive mission of the banking division, the Bank Administration should satisfy the bank officers and utilize their maximum effort by confirming comprehensive superiority of their institutions. We think the results and academic consultation of this research may assist the relevant people for additional research and formulation of plan.
Task space adaptation via the learning of gait controllers of magnetic soft millirobots

Untethered small-scale soft robots have promising applications in minimally invasive surgery, targeted drug delivery, and bioengineering applications as they can directly and non-invasively access confined and hard-to-reach spaces in the human body. For such potential biomedical applications, the adaptivity of the robot control is essential to ensure the continuity of the operations, as task environment conditions show dynamic variations that can alter the robot’s motion and task performance. The applicability of the conventional modeling and control methods is further limited for soft robots at the small-scale owing to their kinematics with virtually infinite degrees of freedom, inherent stochastic variability during fabrication, and changing dynamics during real-world interactions. To address the controller adaptation challenge to dynamically changing task environments, we propose using a probabilistic learning approach for a millimeter-scale magnetic walking soft robot using Bayesian optimization (BO) and Gaussian processes (GPs). Our approach provides a data-efficient learning scheme by finding the gait controller parameters while optimizing the stride length of the walking soft millirobot using a small number of physical experiments. To demonstrate the controller adaptation, we test the walking gait of the robot in task environments with different surface adhesion and roughness, and medium viscosity, which aims to represent the possible conditions for future robotic tasks inside the human body. We further utilize the transfer of the learned GP parameters among different task spaces and robots and compare their efficacy on the improvement of data-efficient controller learning.
Role of expectancy in physiological responses to sound recognition of musical dissonance and timbral change

Recently, it has been suggested that tonal violations produce greater skin conductance response (SCR) than timbral violations in music listening. However, it is unknown how people focus their attention during musical excerpts. The aim of this study is to replicate previous research considering two psychophysiological mechanisms: prediction error and brain stem reflex. Twenty-seven nonmusicians were instructed to listen six melodies and detect three altered conditions in one note: a dissonance (note out-of-key), a timbral change, and dissonance which changes in timbre and tone (timdis). Amplitudes of SCR, heart rate (HR), and respiration rate (RSPR) were analyzed. In addition, the frequency of SCR and the percentage of musical events detection were measured. Results showed no significant differences either on amplitude of SCR or on respiratory rate. However, perception of timdis produced an increase in HR higher than dissonance (p < .05) and the timbre condition had a higher frequency of SCR than dissonance (p < .05). In addition, participants only detected 59.3% of dissonances but they were aware of 90% of notes in-key (original melody). Finally, there was no significant correlation between percentage of detection and frequency of SCR. Results are discussed based on the prediction error mechanism, a theoretical model of expectation.
Motor Load Balancing with Roll Force Prediction for a Cold-Rolling Setup with Neural Networks

The use of machine learning algorithms to improve productivity and quality and to maximize efficiency in the steel industry has recently become a major trend. In this paper, we propose an algorithm that automates the setup in the cold-rolling process and maximizes productivity by predicting the roll forces and motor loads with multi-layer perceptron networks in addition to balancing the motor loads to increase production speed. The proposed method first constructs multilayer perceptron models with all available information from the components, the hot-rolling process, and the cold-rolling process. Then, the cold-rolling variables related to the normal part set-up are adjusted to balance the motor loads among the rolling stands. To validate the proposed method, we used a data set with 70,533 instances of 128 types of steels with 78 variables, extracted from the actual manufacturing process. The proposed method was found to be superior to the physical prediction model currently used for setups with regard to the prediction accuracy, motor load balancing, and production speed.
Two kinds of memory signals in neurons of the human hippocampus

Significance Episodic memories represent the “what,” “when,” and “where” of specific episodes. In epilepsy patients, we detected single-unit activity reflecting episodic memory only in the hippocampus. This neural signal is sparsely coded and pattern-separated, consistent with predictions from neurocomputational models. We also detected single-unit activity reflecting a generic memory signal, coding whether an item is old or new without item-specific episodic information. Similar to concept cells, this generic repetition/novelty neural signal was found in multiple brain regions, including the hippocampus. In contrast, the item-specific signal was found only in the hippocampus. Our results indicate the coexistence of two memory signals in the human brain and suggest that the sparsely coded, hippocampus-specific signal is fundamental, whereas the often-studied generic signal is derivative.
Geochemistry of macrofossil, bulk rock and secondary calcite in the Early Jurassic strata of the Llanbedr (Mochras Farm) drill core, Cardigan Bay Basin, Wales, UK

The Llanbedr (Mochras Farm) core (Wales, UK) yielded a >1300 m long mudrock sequence that has excellent potential for establishing an integrated stratigraphic scheme for the entire Early Jurassic Epoch. Lithological variations in the core are predominantly driven by hierarchical changes in the carbonate content. These changes also dominate – or may impact upon – many geochemical and physical properties of the core. The bulk carbonate C isotope record displays systematic fluctuations, the largest of which correspond to previously identified phases of environmental perturbation. The magnitudes of negative C isotope excursions in carbonate are inflated compared with equivalents previously described elsewhere as a result of diagenesis and the concomitant loss of primary carbonate. The marine macrofossil record of Mochras reveals biological and isotopic patterns that are generally comparable with other UK basins. Potentially significant differences between the Cleveland and Cardigan Bay basins are observed in the Pliensbachian and Toarcian fossils. This different expression may be related to different habitat structures or palaeoceanographic and water depth differences between these basins. Minima in macrofossil δ18O values generally coincide with peaks in macrofossil wood abundance and sea-level lowstands inferred from sequence stratigraphic interpretation of other UK sections. This relationship suggests a possible relative sea-level control on the observed O isotope records and sediment provenance. Supplementary material: Analytical data for the Mochras core are available at https://doi.org/10.6084/m9.figshare. c.5463508
The Determination of Optimal Operating Condition For an Off-Grid Hybrid Renewable Energy Based Micro-Grid: A Case Study in Izmir, Turkey

Nowadays, off-grid systems, which do not require grid connection investment instead of grid connected systems, have become quite feasible. In this study, a feasibility analysis was carried out for a hybrid energy system using solar and wind energy sources to supply to uninterrupted electricity demand of a region with 100 villas in Izmir, Turkey. It has been shown that how changes cost of the hybrid energy system sizing according to the control strategies by using the HOMER software. In the paper, two different control strategies are determined as Cycle Charging (CC) and Load Following (LF), and then the control strategies are compared. According to the results obtained as a result of the simulations, it has been revealed that the research region to operate with CC can supply to the electrical energy demand with lower capacity system architecture. The CC was found to be more suitable for the research region than LF in terms of both Cost of Energy (COE) and Net Preset Cost (NPC).
Damage imaging in skin-stringer composite aircraft panel by ultrasonic-guided waves using deep learning with convolutional neural network

The detection and localization of structural damage in a stiffened skin-to-stringer composite panel typical of modern aircraft construction can be addressed by ultrasonic-guided wave transducer arrays. However, the geometrical and material complexities of this part make it quite difficult to utilize physics-based concepts of wave scattering. A data-driven deep learning (DL) approach based on the convolutional neural network (CNN) is used instead for this application. The DL technique automatically selects the most sensitive wave features based on the learned training data. In addition, the generalization abilities of the network allow for detection of damage that can be different from the training scenarios. This article describes a specific 1D-CNN algorithm that has been designed for this application, and it demonstrates its ability to image damage in key regions of the stiffened composite test panel, particularly the skin region, the stringer’s flange region, and the stringer’s cap region. Covering the stringer’s regions from guided wave transducers located solely on the skin is a particularly attractive feature of the proposed SHM approach for this kind of complex structure.
Enhancement of Solubility and Dissolution Rate of BCS Class-II Fluvoxamine Tablets using Solvent Evaporation Solid Dispersion Technique

Aim: This research work was aimed to formulate Enhancing the solubility of Poorly soluble drug i.e. Fluvoxamine tablets by the solvent evaporation method, Fluvoxamine medicament is a selective serotonin reuptake inhibitor (SSRI) antidepressant agent. Purpose: The BCS class II drug Fluvoxamine consist low aqueous solubility and low oral bioavailability, for this reason to improve the biological performance of Fluvoxamine drug by solid dispersion mechanism. Methodolgy: The drug Fluvoxamine was formulated by using solvent evaporation technique, solid dispersions of Fluvoxamine were prepared with different carriers in different ratios of PEG 6000 & Mannitol (1:1, 1:2 and 1:3). Results: Results of prepared solid dispersions of Fluvoxamine by solid dispersion method Finally by comparing all the formulations, formulation (SF3) containing Fluvoxamine and PEG 6000 (1:3) shows better results. Conclusion: Here we concluded that the poorly soluble drug solubility improving by solvent evaporation solid dispersion mechanism, and also developed six Fluvovamine formulations (FDF1-FDF6) during this FDF4 shows maximum (98.9±0.8%) drug release at the end of time.
Fabrication of a novel PVDF based silica coated multi-walled carbon nanotube embedded membrane with improved filtration performance

Abstract In the present study, silica coated multi-walled carbon nanotubes (SiO2-CNT) were embedded into a pristine polyvinylidene fluoride (PVDF) polymer matrix to develop a novel PVDF/SiO2-CNT nanocomposite membrane. Initially, SiO2-CNT nanofillers were synthesized through sol gel method using commercial multi-walled carbon nanotubes (f-CNT) and incorporated into membrane matrix with varying loadings of 0.5%wt. and 1.0%wt. Pore former/polymer/solvent ratio was investigated to achieve the highest pure water flux and rejection in order to determine the most suitable pristine membrane recipe. Filtration performance properties such as flux, sodium alginate rejection, antifouling properties as well as the morphological characteristics such as porosity, pore size and distribution, hydrophilicity, surface roughness, functional groups, crystalline structure, thermal properties and mechanical strength of the SiO2-CNT embedded membranes fabricated with the best recipe were determined in comparison to those of pristine membrane. It has been demonstrated that incorporating hydrophilic SiO2-CNT into PVDF matrix increased the permeability from 303 to 377 L/m2h (25% increment) due to the improved dispersion of nanoparticles, which subsequently resulted in enhanced morphological properties. In addition to that, SA rejection of the pristine membrane increased from 84.5% to 90.2% and the flux recovery ratio increased from %74.2 to 94.7% with a comparatively smaller Rir value of 2.4 x 1010 m−1 by the addition of 0.5% SiO2-CNT nanofillers into the polymer matrix. Si-MWCNT impregnated nanocomposite membranes not only exhibited better filtration properties but also improved thermal stability and mechanical properties through the synergetic effect of nanotubes and silica group, which would provide in a significant increase in membrane life.
Use of Anionic Salts with Grazing Prepartum Dairy Cows

Abstract Twenty multiparous and four primigravid Holstein cows were utilized in a completely random design to characterize the influence of decreasing prepartum dietary cation-anion difference (DCAD) from +388 to +183 meq/kg diet on DMI, prepartum blood profiles, and postpartum milk yield and composition of dairy cows grazed during the prepartum period. Treatments began on wk −4 prepartum, continued through calving, and consisted of 1) pasture and grain pellet without anionic salts (control; +388 meq/kg) or 2) pasture and grain pellet containing anionic salts (AS) (+183 meq/kg). Prepartum cows were rotationally grazed as a single group and individually fed pellets twice daily at a rate of 0.5% of BW/d. Blood and urine samples were collected on wk −4, −2.5, and −1 prepartum and analyzed for Ca, Mg, K, Na, and Cl concentrations. Urine samples were also analyzed for pH. Chromic oxide was dosed twice daily during the last 4 wk of gestation and again for 10 d during wk 4 and 12 postpartum for estimation of intake. Cows calved on pasture and were then integrated into the regular milking herd and fed a total mixed ration (TMR). Daily milk yield and weekly milk samples were collected through wk 14 of lactation. Prepartum and postpartum DMI, milk yield and composition, and plasma minerals were not affected by treatment. No clinical cases of milk fever were observed for either treatment group. Reducing prepartum DCAD from +388 to +183 meq/kg DM did not improve prepartum blood profiles or postpartum milk yield or composition; therefore, this type of supplementation was not economical.
Development of a high-efficiency dephosphorization process via the fine in situ phases due to the composite ball explosion

In the present work, a new ladle dephosphorization process has been developed using the dispersed in situ phases induced by an explosive reaction of the composite balls with slag forming materials. A composite ball with this function has been designed and prepared using a laboratory model batch type balling disc (at 12 rev min−1) and then has been fed during the convert tapping process. The results indicate that the explosion reaction of a composite ball at steelmaking temperature can take place and plenty of fine powders have been released. Feeding composite ball during converter tapping is a new process and the phosphorus in the molten steel can be removed effectively. Using this technique, the average dephosphorization rate is about 50% and the lowest phosphors in the molten steel can approach 40 ppm. Furthermore, there is no phosphorus reversion phenomenon occurred after the following procedures. Further study is recommended.
Seasonal Variation of the Surface Kuroshio Intrusion into the South China Sea Evidenced by Satellite Geostrophic Streamlines

The long-term satellite altimeter and reanalysis data show that large seasonal variations are associated with geostrophic Kuroshio intrusion, but not with the current intensity, width and axis position east of Philippine. To address this issue, we examine the seasonal variability of surface intrusion patterns by a new streamline-based method. The along-streamline analysis reveals that the seasonality of geostrophic intrusion is only attributed to the cyclonic shear part of the flow, while the anticyclonic shear part always leaps across the Luzon Strait. A possible physical mechanism is proposed to accommodate these seasonal characteristics based on globally the vorticity (torque work) balance between the basin-wide negative wind stress curl and the positive vorticity fluxes induced by the lateral wall, as well as locally loss of balance between the torques of frictional stresses and normal stresses owing to the boundary gap. Through modifying the nearshore sea surface level, the northeasterly/southeasterly monsoon increases/decreases the positive vorticity fluxes in response to global vorticity balance, and simultaneously amplifies/alleviates the local imbalance by enhancing/reducing the positive frictional stress torque within the cyclonic shear layer. Therefore, in winter when the positive torque is large enough, the Kuroshio splits and the intrusion occurs, while in summer the stress torque is so weak that the entire current keeps flowing north.
What matters while assessing quality of social services? Stakeholders’ perspective in Czechia

ABSTRACT Quality of public services including social services is an issue frequently discussed by policy makers, service providers, and by those who represent service users. The aim of this study was to explore how stakeholders perceive quality of social services, with a particular focus on (1) what did participants rate as important; (2) what is the relative importance of each domain and how does that differ across stakeholder groups and (3) does importance vary by participant characteristics. A specially designed questionnaire was completed by 217 service providers, by 249 public administration representatives and 205 service users of residential care and in-home support. The subjective quality of life of service users was rated as the most important indicator of service quality by all three stakeholder groups. Particularly important were items that related to the nature of the relationships and interactions between staff and service users. There were some differences between stakeholder groups and also by respondent characteristics – public administration respondents, older service users and providers of residential care were more likely to rate health care as more important than other respondents. Implications for how quality is measured are discussed.
Neutron star collisions and gravitational waves

The long-awaited detection of a gravitational wave from the merger of a binary neutron star in August 2017 (GW170817) marked the beginning of the new field of multi-messenger gravitational wave astronomy. By exploiting the extracted tidal deformations of the two neutron stars from the late inspiral phase of GW170817, it was possible to constrain several global properties of the equation of state of neutron star matter. By means of fully general-relativistic hydrodynamic simulations, it is possible to get an insight into the hydrodynamic evolution of matter and into the structure of the space–time deformation caused by the remnant of binary neutron star merger. Neutron star mergers represent an optimal astrophysical laboratory to investigate the phase transition from confined hadronic matter to deconfined quark matter. With future gravitational wave detectors, it will most likely be possible in the near future to investigate the hadron-quark phase transition by analyzing the spectrum of the post-merger gravitational wave of the differentially rotating hypermassive hybrid star. In contrast to hypermassive neutron stars, these highly differentially rotating objects contain deconfined strange quark matter in their slowly rotating inner region.
Novel Mechanisms Related to DHA's Atheroprotective Effects in Endothelial Cells: eNOS Activity Is Regulated by DHA via p38MAPK and MSK

Our laboratory previously reported that docosahexaenoic acid (DHA) activates p38 mitogen-activated protein kinase (MAPK) differently in growing and quiescent human endothelial cells, which represent the atherogenic and healthy states in vivo, respectively. Endothelial nitric oxide synthase (eNOS) activity differs between these two states. Since eNOS can be regulated by p38MAPK and mitogen-stimulated kinase (MSK) is a p38MAPK substrate involved in cell proliferation and inflammation, we hypothesized that DHA's atheroprotective actions require eNOS activation via the p38MAPK/MSK pathway. Thus, our objective was to investigate the role of p38MAPK/MSK in the eNOS response to DHA and determine whether the proposed pathway is growth state-sensitive. EA.hy926 cells were cultured on Matrigel-coated plates to sub-confluent and quiescent states and treated with DHA ± SB202190 or SB747651A, inhibitors of p38MAPK and MSK, respectively. eNOS activation was quantified by Western blot detection of Ser1177 phosphorylation. eNOS activation by DHA in EA.hy926 cells was concentration-, time-, and growth state-dependent. p38MAPK inhibition suppressed eNOS activity in sub-confluent cells and increased eNOS activity in quiescent cells, while MSK inhibition suppressed eNOS activity in both growth states. eNOS activity remained suppressed with DHA treatment under MSK inhibition and showed no dose- or growth state-dependent effects. In contrast, when p38MAPK was inhibited, high dose DHA activated eNOS in sub-confluent cells, but dose-dependently decreased the elevated eNOS activity of quiescent cells. eNOS activity in endothelial cells is modulated by DHA via p38MAPK and MSK. The growth state-dependent regulation of p38MAPK and eNOS by DHA provides novel insight into the molecular mechanisms of DHA's atheroprotective actions in relation to health status. Research Manitoba, St Boniface Hospital Foundation, University of Manitoba - GETS