Miracle-dz/UniFAR-FTUs huggingface dataset:
Response Surface Method Assisted Fabrication and Characterization of Optimized Aceclofenac Loaded Microspheres Inculcated with Multivariate Polymers

Quazi et al. : Fabrication and Characterization of Optimized Aceclofenac Loaded Microspheres The optimized microspheres were fabricated as a controlled release system for aceclofenac incorporating polymeric cross-linking with sodium alginate as natural, hydrophilic polymer and Eudragit RS100 synthetic, hydrophobic polymer by ion-gelation technique. The method was optimized by Box Behnken design incorporating concentration of pure drug, natural and synthetic polymer along with the obtained responses that were mean particle size (Y1) and entrapment efficiency of drug (Y2). Microspheres were characterized for percentage yield, micromeritic evaluation, particle size, entrapment efficiency of drug, in vitro study, fourier transform infrared spectroscopy, scanning electron microscopy, nuclear magnetic resonance and high performance liquid chromatography quantification of optimized formulation. It was observed that application of response surface method software for Box Behnken design yielded stable and spherical microspheres with mean particle size 69.37 µm and entrapment efficiency of drug 79.86 % for the most optimized formulation F5. We can conclude that bridging of aceclofenac with natural and synthetic polymers yielded stable, cost effective microspheres bearing enhanced micromeritic properties with controlled release effect.
ERRONEOUS PRODUCTION OF APICO-DENTAL FRICATIVE CONSONANT SOUNDS BY JAVANESE HIGH SCHOOL STUDENTS

This research paper aims to investigate the errors in the production of apico-dental fricative consonant sounds by Javanese high school students. Particularly, it attempts to investigate deviation and the different intensity level in producing apico-dental fricative sounds such as [θ] and [ð]. The data used in this research were 30 words containing apico-dental fricatives in initial, medial, and final positions. The results of the research show that the range intensity level between Oxford Advanced Learner’s Dictionary (OALD) and English learners is different. In initial position, the production of [θ] sound has range 52.92 dB – 59.60 dB while the deviations are at 65.83 dB – 70.98 dB; in the middle is 78.94 dB – 79.87 dB while the deviations are at 74.74 dB – 76.03 dB; in final position the range is at 85.73 dB – 88.52 dB while the deviations are at 72.81 dB – 77.35 dB. In the production of [ð] sound, the range in initial position is 61.6 dB- 62.33 dB while the deviations are at 76.47 dB – 82.08 dB; in medial position the range is 81.64 dB – 84.23 dB while the deviations occurred at 70.81 dB – 75.97 dB; in final position the range is 81.95 dB – 83.21 dB while the deviations occurred at 74.27 dB -79.98 dB. In the pronunciation process, there are seven possible errors, namely [t], [tʰ], [tʃ], [s], the deletion of [θ], [d], and [nd].
Sustainable Economic Sectors in Indonesia and Brunei Darussalam

Indonesia and Brunei Darussalam have a significantly different economic structure where the Brunei Darussalam economy is very much dominated by oil and gas, whereas Indonesia is dominated by the manufacturing, trade, and agriculture sectors. This paper aims to identify the economic sectors that have the potential to achieve Sustainable Economic Growth (SEG) in both countries. Secondary data from several sources were processed using the multifactor evaluation process method. The results show that there are two economic sectors with equal potential in the two countries, namely, the Information and Communication Sector and the Business Activities Sector. The growth in these two sectors tends to increase; the addition of labor is greater than the increase in output, and they have a relatively limited environmental impact. However, this finding does not mean that other sectors cannot be sustained. On the contrary, they need regulations that will encourage a shift to an economic growth that cares about the environment and society, especially for crucial sectors such as agriculture as a food provider, and the manufacturing sector, which produces value added goods.
A Conceptual MIS Framework for Business Intelligence

The prime objective of the present study was to examine the relationship between compatibility, top management support, competitive pressure and organizational performance with the mediation of business intelligence. The data in the present study were collected from the employees of Madina grocery store by purposive sampling. The response rate of the study was 69%. The collected data was analysed through smart PLS 3.3. 2. The results of the study revealed that competitive pressure, top management support and compatibility have a positive effect on business intelligence and organizational performance. Additionally, the mediation result of business intelligence is also confirmed by the results of the present research. This research fills the gap between limited studies regarding business intelligence and organizational performance. This study is helpful for the decision-makers of management of different organizations.
Transient Stability Evaluation Criterion of Multi-Wind Farms Integrated Power System

This letter proposes a novel transient stability criterion for power systems with multi-wind farms, which is deduced from power flow and inertia distribution. The variations of acceleration and deceleration power with and without wind integration, instead of the acceleration and deceleration areas themselves, are calculated, in which the power angle swing direction, the transient stability control of wind turbines, the position of wind farms access, and the unbalanced output of synchronous clusters are also considered. The simulation results show the effectiveness of the proposed criterion to distinguish transient stability.
A Brain-Targeted Approach to Ameliorate Memory Disorders in a Sporadic Alzheimer’s Disease Mouse Model via Intranasal Luteolin-Loaded Nanobilosomes

Impaired memory and cognitive function are the main features of Alzheimer’s disease (AD). Unfortunately, currently available treatments cannot cure or delay AD progression. Moreover, the blood–brain barrier hampers effective delivery of treatment to the brain. Therefore, we aimed to evaluate the impact of intranasally delivered luteolin on AD using bile-salt-based nano-vesicles (bilosomes). Different bilosomes were prepared using 23-factorial design. The variables were defined by the concentration of surfactant, the molar ratio of cholesterol:phospholipid, and the concentration of bile salt. Results demonstrated optimized luteolin-loaded bilosomes with particle size (153.2 ± 0.98 nm), zeta potential (−42.8 ± 0.24 mV), entrapment efficiency% (70.4 ± 0.77%), and % drug released after 8 h (80.0 ± 1.10%). In vivo experiments were conducted on an AD mouse model via intracerebroventricular injection of 3 mg/kg streptozotocin. We conducted behavioral, biochemical marker, histological, and immune histochemistry assays after administering a luteolin suspension or luteolin bilosomes (50 mg/kg) intranasally for 21 consecutive days. Luteolin bilosomes improved short-term and long-term spatial memory. They also exhibited antioxidant properties and reduced levels of proinflammatory mediators. They also suppressed both amyloid β aggregation and hyperphosphorylated Tau protein levels in the hippocampus. In conclusion, luteolin bilosomes are an effective, safe, and non-invasive approach with superior cognitive function capabilities compared to luteolin suspension.
A Technique of Hydrocarbon Potential Evaluation in Low Resistivity Gas-Saturated Mudstone Horizons in Miocene Deposits, South Poland

The petrophysical properties of Miocene mudstones and gas bearing-heteroliths were the main scope of the work performed in one of the multihorizon gas fields in the Polish Carpathian Foredeep. Ten boreholes were the subject of petrophysical interpretation. The analyzed interval covered seven gas-bearing Miocene horizons belonging to Sarmatian and Badenian deposits. The water saturation in shaly sand and mudstone intervals was calculated using the Montaron connectivity theory approach and was compared with Simandoux water saturation. Additionally, the Kohonen neural network was used for qualitative interpretation of four PSUs (petrophysically similar units), which represent the deposits of comparable petrophysical parameters. This approach allowed us to identify the sediment group with the highest probability of hydrocarbon saturation. Then, the spatial distribution of PSUs and reservoir parameters was carried out in Petrel. The resolution of the model was selected to reflect the variability of log-derived parameters. The reconstruction of the spatial distribution of shale volume, porosity, and permeability was performed with standard parametric modeling procedures using the Gaussian random function simulation stochastic algorithm, while PSU distribution and hydrocarbon saturation (SH) required a separate approach. The distribution into PSU groups was carried out by facies classification. Predefined ranges of clay volume, effective porosity, and permeability were used as discriminators to achieve spatial distribution of the PSU groups. The spatial distribution of hydrocarbon saturation was performed by creating the meta-attribute of this parameter and then reducing the derived pseudo-saturation model to physical values. Results included the creation of maps of hydrocarbon saturation that show the preferable areas with the highest hydrocarbon saturation for each gas horizon.
Online Removable Knapsack Problem for Integer-Sized Unweighted Items

SUMMARY In the online removable knapsack problem, a sequence of items, each labeled with its value and its size, is given one by one. At each arrival of an item, a player has to decide whether to put it into a knapsack or to discard it. The player is also allowed to discard some of the items that are already in the knapsack. The objective is to maximize the total value of the knapsack. Iwama and Taketomi gave an optimal algorithm for the case where the value of each item is equal to its size. In this paper we consider a case with an additional constraint that the capacity of the knapsack is a positive integer N and that the sizes of items are all integral. For each positive integer N , we design an algorithm and prove its optimality. It is revealed that the competitive ratio is not monotonic with respect to N .
Effect of Texture on Total Energy Consumption of High Frequency Hydraulic Impact Piston Pair

Limited by the influence of the traditional clearance seal structure on the leakage and friction loss of piston pair, the energy utilization ratio of the hydraulic impactor is difficult to improve effectively. To solve this problem, a novel micro-texture clearance seal structure of impact piston cylinder was proposed, and an integrated energy consumption evaluation index considering leakage and friction loss of impact piston pair was proposed. Based on the average Reynolds equation, a comprehensive energy consumption analysis model for a textured high-frequency hydraulic impact piston pair was established, and the influence of piston texture parameters on the comprehensive energy consumption under rated working conditions was studied. The results show that the cylindrical texture clearance seal structure provided an effective way to improve the energy utilization ratio of hydraulic impactor, with energy consumption 13~15% less than the traditional structure. Variation of area rates textured made the amplitude value of integrated energy consumption of the piston pair decrease by 4~15%, and the optimum area rate was 0.2~0.4. Depth ratio of texture could also reduce the integrated energy consumption of the piston pair, but the reduction range was small.
Recent Advances in Development of Waste-Based Polymer Materials: A Review

Limited petroleum sources, suitable law regulations, and higher awareness within society has caused sustainable development of manufacturing and recycling of polymer blends and composites to be gaining increasing attention. This work aims to report recent advances in the manufacturing of environmentally friendly and low-cost polymer materials based on post-production and post-consumer wastes. Sustainable development of three groups of materials: wood polymer composites, polyurethane foams, and rubber recycling products were comprehensively described. Special attention was focused on examples of industrially applicable technologies developed in Poland over the last five years. Moreover, current trends and limitations in the future “green” development of waste-based polymer materials were also discussed.
Meditation and Five Precepts Mediate the Relationship between Attachment and Resilience

Secure attachment is fundamental to the development of resilience among adolescents. The present study investigated whether meditation and precept practices influence the relationship between attachment and resilience. This study recruited 453 10th–12th-grade boarding school students who completed the Experience of Close Relationship Questionnaire (revised), Resilience Inventory, Inner Strength-Based Inventory, and Precept Practice to assess attachment, resilience, meditation practice, and precepts adherence. The participants’ mean age was 16.35 ± 0.96 years; 87.9% were females, and 89.2% were Buddhists. A parallel mediation model within the structural equation framework was used for an analysis of the indirect effect of attachment on resilience through meditation and precept practices. The indirect effects of attachment anxiety and avoidance on resilience were β = −0.086, 95% CI = −0.125, −0.054, p < 0.001, and β = −0.050, 95% CI = −0.088, −0.021, p = 0.006, respectively. The indirect effect size resulting from meditation was significantly higher than that resulting from observance of the precepts. The parallel mediation model explained the 33% variance of the resilience scores, compared with 23% from the direct effect of attachment anxiety and avoidance only. This work provides evidence that meditation and precepts significantly affect the relationship between attachment and resilience.
Adaptive neural networks force/position control of uncertain manipulators subject to input saturation and output constraints

In this work, considering the influence of input saturation and time-varying output constraints, an adaptive neural networks force/position control method is proposed for a class of uncertain robotic manipulators in contact with the external environment. Radial basis function neural networks are introduced to approximate the system uncertainty and only one parameter needs to be updated online. The output constraints are satisfied by converting the constrained system to an unconstrained one. Moreover, an auxiliary dynamic system is applied in the transformed unconstrained system to handle the input saturation nonlinearity and the Moore–Penrose pseudo-inverse term is introduced for controller design. All signals in the closed-loop system are proved to be bounded by using the Lyapunov method. To show the good performance of the given scheme, comparative simulation is conducted on a two-joint manipulator, which is controlled by the proposed adaptive neural networks force/position tracking controller and a conventional force/position controller without considering input saturation and output constraints. Simulation results show that the adaptive neural network force/position controller has better control performance than the traditional method.
Efficient Modeling and Systematic Design of Enhanced Phase-Locked Loop Structures

This article presents approaches for efficient modeling and systematic design of enhanced phase-locked loop (ePLL) structures. While different ePLL structures have found a wide acceptance for various applications, their modeling and design aspects have not been fully and systematically reported in the existing literature. This article fills this gap by presenting an effective modeling approach for both the single- and three-phase ePLLs. The models are derived with a view to minimize the number of parameters to be adjusted to simplify the design. The models are then used to develop systematic design algorithms for their parameters. As an example, application of the ePLL in a grid-connected inverter is formulated and studied through simulation and experimental results. The design and simulation files are made available.
A Novel Experimental Method for Identifying the Flux Linkage Map of a High-Power Medium-Voltage Electrically Excited Synchronous Machine with Double Stator Winding

Accurate knowledge of the magnitude and position of the magnetic flux is essential for implementing field-oriented control (FOC) and achieving high-performance behaviour of AC drives. For estimating the flux in a wide range of speeds, so-called hybrid flux estimators, which are a combination of current-model and voltage-model based estimators, are usually used. Since the inductances are used as parameters in the current model, knowledge of the actual flux–current relationship, i.e., of the actual flux linkage map, is inevitable. In this paper, a novel experimental method for identifying the flux linkage map of an electrically excited synchronous machine (EESM) with double stator winding is proposed, which, unlike most existing experimental methods, does not require an additional machine to be used as a load. The flux is determined for different operating points to which the unloaded and sped-up machine is brought to by injecting d- and q-axis stator current components, whereby the current controllers are used to keep them constant for a certain operating point. The proposed method has been used to identify the flux linkage map of a medium-voltage EESM with double stator winding. A more than acceptable accuracy confirmed by comparison with three different analytical methods, together with the fact that it does not require a complex experimental setup, makes the proposed method suitable for the identification of a machine’s flux linkage map in an industrial environment.
A single-cell atlas of the myometrium in human parturition

Parturition is a well-orchestrated process characterized by increased uterine contractility, cervical ripening, and activation of the chorioamniotic membranes; yet, the transition from a quiescent to a contractile myometrium heralds the onset of labor. However, the cellular underpinnings of human parturition in the uterine tissues are still poorly understood. Herein, we performed a comprehensive study of the human myometrium during spontaneous term labor using single-cell RNA sequencing (scRNA-Seq). First, we established a single-cell atlas of the human myometrium and unraveled the cell type–specific transcriptomic activity modulated during labor. Major cell types included distinct subsets of smooth muscle cells, monocytes/macrophages, stromal cells, and endothelial cells, all of which communicated and participated in immune (e.g., inflammation) and nonimmune (e.g., contraction) processes associated with labor. Furthermore, integrating scRNA-Seq and microarray data with deconvolution of bulk gene expression highlighted the contribution of smooth muscle cells to labor-associated contractility and inflammatory processes. Last, myometrium-derived single-cell signatures can be quantified in the maternal whole-blood transcriptome throughout pregnancy and are enriched in women in labor, providing a potential means of noninvasively monitoring pregnancy and its complications. Together, our findings provide insights into the contributions of specific myometrial cell types to the biological processes that take place during term parturition.
Zuogui Pill on Heat Shock Protein 70 and Ultrastructure of Brain Neurons in Senile Dementia Model Rats

Peng et al. : Zuogui Pill on Heat Shock Protein 70 and Ultrastructure of Brain Neurons Alzheimer's disease is a pathological mechanism of chronic degenerative disease of brain function, which has a profound influence on various brain diseases, with the highest incidence in the elderly population. With the deepening of population aging, the incidence of Alzheimer's disease is also on the rise, seriously affecting the quality of life of the elderly population. Therefore, the study of neuronal heat shock protein 70 and its ultrastructure is helpful to enhance the therapeutic effect and improve the quality of life of patients. To observe the effect of Zuogui pill on heat shock protein and ultrastructure of brain neurons in rats with Alzheimer's disease. The experimental rats were divided into model group, anti-cerebral failure control group, Haboin control group, Zuogui pill low-dose group, Zuogui pill high-dose group and sham operation group. The model group was injected with D-galactose intraperitoneal injection and amyloid-beta injection into the hippocampus to prepare an Alzheimer's disease animal model. The two control groups were injected with anti-Nao Shuai capsule and Haberman capsule while modeling. The sham operation group was injected with the same amount of normal saline into the hippocampus of both rats. After successful modeling, acetylcholinesterase of rat brain homogenate was detected by biochemical method, expression of heat shock protein 70 in hippocampus of rats in each group was measured by reverse transcription-polymerase chain reaction and ultrastructural changes of rat brain neurons were observed by transmission electron microscope. Zuogui pill could inhibit acetylcholinesterase activity, reduce apoptosis and stabilize the number of neurons. Ultrastructural observation also showed that hippocampal neurons in each treatment group showed morphological characteristics different from the early apoptosis in the model group. Zuogui pill has a positive effect on increasing the number of neurons surviving and inhibiting cell death. It can effectively promote the repair of nerve cells in the brain, thus improving memory impairment in Alzheimer's disease patients.
Internet Tomography: An Introduction to Concepts, Techniques, Tools and Applications

Internet tomography, introduced from basic principles through to techniques, tools and applications, is the subject of this book. The design of Internet Tomography Measurement System (ITMS) aimed at mapping the Internet performance profile spatially and temporally over paths between probing stations is a particular focus. ITMS design criteria addressed include: minimally-invasive, independent and autonomous, active or passive measurement, flexibility and scalability, capability of targeting local, regional and global Internet paths and underlying IP networks, compliance with the standardised performance methodologies and QoS metrics, e.g., those of the IETF IPPM Working Group. The book also features the use of Internet tomography measurement in modelling support, through network simulation and emulation, for real network and service design and analysis, and new service deployment; the exploration of spatial and temporal Internet performance variations by means of scenario-based analysis using real-time Internet performance data; aspects of Internet tomography in next generation wireless network -wireless NGN- architectures; and the role of ITMS in Service Level Agreement design, implementation and compliance.