Miracle-dz/UniFAR-FTUs huggingface dataset:
Antimicrobial activity of polyhexamethylene biguanide nanoparticles against mastitis-causing Staphylococcus aureus

Graphical Abstract Summary: Polyhexamethylene biguanide (PHMB) nanoparticles (NP) developed for this study presented antimicrobial activity against mastitis-causing Staphylococcus aureus at lower concentrations than PHMB alone, chlorhexidine digluconate, povidone-iodine, and sodium dichloroisocyanurate. Thus, PHMB NP present potential for the development of new dipping solutions.
DATA PUBLICATION BASED ON DIFFERENTIAL PRIVACY IN V2G NETWORK

Nowadays, the massive amount of data from V2G networks makes many important data mining applications possible and improves the quality of our daily lives. However, data privacy protection in the V2G network has also attracted great attention when data is released to a third party for analysis. In response to this problem, this paper proposes a dynamic data publishing algorithm based on differential privacy. Combined with the idea of data prediction, we propose a combined prediction model to predict the data, adaptively sample according to the prediction error, and then dynamically allocate a privacy budget to the sampling points. , And finally release streaming data that meets wevent-level privacy. We experiment on real data sets. Compared with traditional input data set noise injection methods, the proposed algorithm improves data availability and reduces publishing errors
The Impact of Educational Technology Tools on the Learning Achievement of B.Ed. Science Students in Ecology Class at Samtse College of Education

Infusion of technology in education has tremendous potential to enhance students' learning and enable them to become competent and prepare for their future career. The study explored the impact of educational technology tools on the learning achievement of B.Ed. science students in Ecology at Samste College of Education, Bhutan. The study adopted a quasi-experimental design and the study was guided by postpositivist worldview. Pretest and posttest were administered before and after the intervention. Purposive sampling was used to select one section of students at Samtse College of Education. The quantitative data were collected by using the survey questionnaire. The qualitative data was collected using semi-structured interviews. The quantitative data were analysed statistically using SPSS and qualitative data were analysed thematically. The findings of the study revealed that students have positive opinion towards various educational technology tools as it made the learning interesting and fun. The mean difference between pretest and posttest was 8.6 indicating that educational technology tools has enhanced students learning achievement in Ecology. Triangulation of three data sources such as survey questionnaire, interview and literature also revealed that educational technology tools enhance students' learning achievement. There are numerous advantages of using educational technology tools in teaching, learning and assessment. Some of the advantages of educational technology tools are gaining attention, motivating students, encouraging interaction and independent learning. The finding also listed some challenges of using educational technology tools such as time management, understanding new educational technology, adaptability struggle, distraction, technical issues, and limited ICT knowledge. Educational technology tools integrated in the module will be further replicated by student teachers in schools. Therefore tutors were recommended to use variety of educational technology tools were recommended.
Evaluation of Intraperitoneal Instillation of Levobupivacaine versus Ultrasound Guided Rectus Sheath Block for Post-Operative Pain Relief Following Laparoscopic Cholecystectomy

Background: Laparoscopic cholecystectomy (LC) is not a painless process, with the most acute pain occurring on the day of surgery and the next day. Postoperative pain management methods include intraperitoneal instillation of local anaesthetics and rectus sheath block (RSB), both of which may give excellent pain reduction. Objectives: The aim of this study was to evaluate the efficacy of intraperitoneal instillation versus rectus sheath block using levobupivacaine for postoperative pain relief after laparoscopic cholecystectomy. Patients and methods: The study was a prospective randomized double-blind study. Patients were randomized into two groups using a closed envelope technique in sequentially numbered opaque envelopes that was opened by an anesthesiologist not involved in the study. The study was conducted on 50 patients, 25 each for each group. Group I received intraperitoneal instillation of 40 ml 0.25% levobupivacaine. Group II (Rectus sheath block) received bilateral RSB with 40 ml of 0.25% levobupivacaine (20 ml on each side). Results: There was high statistical significant difference between groups as regard VAS. There was high statistical significant difference between groups as regards patient satisfaction, which was more increased among rectus sheath group. Conclusion: U/S-guided rectus sheath block is effective as analgesic technique as intraperitoneal instillation of levobupivacaine led to more patient satisfaction, lower postoperative pain and lower amount of anaesthetic consumption. Both techniques are simple, safe, and without adverse effects. This study favors the administration of rectus sheath block pre-emptively for postoperative pain relief after laparoscopic cholecystectomy.
Climatology of super‐refraction and trapping layers conditions over Central and West Africa

The propagation of radio electric waves emitted from ground‐based meteorological instruments is determined through stratification of the atmosphere. In super‐refractive cases characterized by strong temperature inversions or strong vertical moisture gradients, the radar beam can be deflected towards the ground (trapping). This phenomenon often results in spurious returned echoes and misinterpretation of radar images such as erroneous precipitation, wind, and temperature detection. In this study, a 5‐year Central and West Africa (CWA) climatology of the frequency of super‐refractive and trapping‐layer base height has been produced using refractivity computations from European Centre for Medium‐Range Weather Forecasts (ECMWF) analyses at a 40‐km horizontal resolution and 60 levels in the vertical direction. The aim of this climatology is to improve the understanding on how frequent such anomalous propagations conditions are, which is a prerequisite for fully benefiting from radar data information for the multiple purposes of model validation, precipitation analysis, and data assimilation. First, the main climatological features are summarized for the whole CWA: Sahara and inlands seldom experience super‐refraction, whereas coastal areas are strongly affected, especially in regions where the temperature inversion and the trade winds are intense lying near the surface. Over land, seasonal averages of super‐refraction frequencies reach 80% (40%) over moist areas year‐round but remain below 40% (15%) in most other regions. Seasonal statistics exhibit a pronounced diurnal cycle of super‐refraction occurrences, with averaged frequencies peaking at 60% in summer late afternoon over the areas located on the Atlantic Ocean border but inlands region are less affected with super‐refractive cases by midday.
Significant factors impact of reclamation on environmental, economic, and social cultural aspects in Makassar city

Reclamation at the Center Point of Indonesia (CPI) in Makassar City was initiated by the South Sulawesi Provincial Government. The sustainability of the CPI reclamation project is still reaping the pros and cons until now. Reclamation policies can have both good and bad impacts on environmental, economic, and socio-cultural aspects. Contrary to the essence of the policy that should bring goodness to the lives of the people of Makassar, the CPI reclamation has attracted the attention of several NGOs that allied to demand that the reclamation be stopped because it has damaged the surrounding environment and has adversely affected coastal communities economically and materially. This study aims to obtain significant factors that can have an impact on coastal reclamation on environmental, economic, and socio-cultural aspects in the city of Makassar. This research was conducted qualitatively in a Review Study of CPI reclamation case. The method used is a literature study, in-depth interviews, and field observations as well as digging the necessary data from related sources, to analyze the impacts that arise from the CPI reclamation, in terms of environmental, economic, and socio-cultural perspectives. The results of this study are the acquisition of significant factors that influence and have a systemic impact on the coastal reclamation activities in the city of Makassar which are very useful for formulating the best policies in reclamation activities towards a prosperous and prosperous society.
A survey of various intelligent home applications using IoT and intelligent controllers

The tremendous development in technology used in our daily life was one of the most important incentives for researchers to add technology that is easy to use and useful in human life, an example internet of things (IoT) and systems of intelligence used in various fields. This article provides an overview of the smart home (SH) study of the Internet of Things as smart homes (SHs) have attracted great interest with communication technology advancements. The intelligent home is an Internet of Things technology that allows the monitoring and control of devices via the Internet using a home automation system (HAS). Followed by the justification for choosing the smart home and smart home engineering, and what are the most used communication protocols for smart homes, whether wired or wireless.
Electomyographic analysis of the oral phase of swallowing in subjects rehabilitated with mandibular implant retained overdenture.

Objective: The purpose of this study was to detect the impact of mandibular implant retained overdenture on electromyographic activity of submental muscles during swallowing in edentulous subjects. Materials and methods: Fifteen completely edentulous subjects with problematic lower complete dentures were participated in this study. All subjects received a newly carefully constructed complete dentures and then the lower dentures were changed into mandibular implant retained overdentures by placing two implants on the mandibular canine regions and using ball attachments to retain the overdentures. All the subjects were submitted to surface electromyographic evaluation for the submental muscles without dentures, with complete dentures and with mandibular implant overdenture during swallowing of 10ml of water. Results: There was a statistically significant increase in swallowing duration and electromyographic amplitude of submental muscles after complete dentures insertion and also after insertion of mandibular implant overdenture. Moreover, there was a statistically significant reduction in both swallowing duration and electromyographic amplitude of submental muscles for mandibular implant overdenture when compared to complete dentures. Percentage Overlapping Coefficient showed a non-significant differences between different oral conditions. Conclusion: Rehabilitation of completely edentulous patient with mandibular implant retained overdenture revealed a reduction in swallowing duration and reduction in electromyographic amplitude of the submental muscles during swallowing.
Single-Atom Tungsten Doped Nis0.5Se0.5 Nanosheets@Nanorods Heterostructures Catalyze Water Splitting Highly Active and Durable

Developing robust nonprecious electrocatalysts towards hydrogen/oxygen evolution reaction (HER/OER) is crucial for the spread of hydrogen energy industrialization. Here, we prepared a highly active and durable electrocatalyst of W single-atoms doped NiS0.5Se0. 5 nanosheets@NiS0.5Se0. 5 nanorods heterostructure (W-NiS0.5Se0.5). The W-NiS0.5Se0. 5 exhibits superior catalytic activity for HER and OER with an ultralow overpotential (39, 106 mV for HER and 171, 239 mV for OER) and excellent long-term durability (500 h) at 10 and 100 mA cm− 2, outperforming commercial precious-metal catalysts and many other reported transition-metal-based compounds. The spin state of Ni was delocalized by introducing low spin-state of W single-atom, thus increasing the electron density of Ni 2p orbital, optimizing the adsorption/desorption process of H, significantly reducing the energy barrier of the rate-determining step (O* → OOH*), finally accelerating thermodynamics and kinetics of HER/OER. This work provides a rational feasible strategy to design single-atom catalysts for water splitting and develop advanced transition metal-based electrocatalysts via regulating delocalized spin states.
Pareto-based Multi-objective Firefly Algorithm with Hierarchical Clustering for Environmental-Economic Power Dispatch Problem

This paper proposes a multi-objective firefly algorithm (MOFFA) to solve the environmental-economic power dispatch (EEPD) problem. Also, it presents a modified firefly algorithm (FFA) to solve the economic power dispatch (EPD) and the emission dispatch (ED) problems as single goals. The modifications proposed on the traditional FFA aim to improve its exploration and ensure the feasibility of the obtained solutions. The proposed MOFFA uses an external Pareto set to keep the non-dominated solutions, where a hierarchical clustering algorithm is used to get a representative and controlled set of Pareto-optimal solutions. The best compromise solution is also extracted from the Pareto set using an approach based on the fuzzy set theory. The constraints of EEPD, EPD, and ED problems are power balance constraint, generation limits constraint, and transmission power losses. To verify the effectiveness of the proposed algorithms, two methodologies are adopted and tested on the IEEE 30-bus test and the 10-unit test system with valve-point loading. In methodology 1, the EPD problem and the ED problem are solved separately using the modified FFA. In methodology 2, the EEPD is solved as a true multi-objective optimization problem using the proposed MOFFA. The simulation results and the statistical analysis ensure the high-quality solutions of the proposed algorithms and prove the ability of the MOFFA to produce well-distributed Pareto-optimal solutions.
Research on intelligent vehicle lane changing and obstacle avoidance control based on road adhesion coefficient

Aimed at the safety and stability problems of intelligent vehicles under extreme conditions such as low adhesion road surface and emergency lane change and obstacle avoidance, this article designs a lane change and obstacle avoidance controller based on road adhesion coefficient. Using the nonlinear vehicle dynamics model as the prediction model, using the recursive least squares method to identify the road adhesion coefficient, considering the road adhesion coefficient to plan and adjust in the obstacle avoidance path as well as limit constraint conditions of the model predictive control controller, using model predictive control method for the expectation of intelligent vehicle trajectory tracking, travels tremendously guarantee the security and stability of driving. The joint CarSim–Simulink simulations results show that under poor road conditions, the trajectory tracking accuracy after optimization is higher and the vehicle is less prone to sideslip and instability. The lane change controller designed in this article has strong adaptability to different road surface adhesion coefficient, and all parameters can be controlled within a reasonable safety range at different speeds, with good robustness.
DESIGN AND IN VITRO EVALUATION OF FLOATING DRUG DELIVERY SYSTEM OF GLIPIZIDE USING COMBINATION OF NATURAL MUCILAGES AND SYNTHETIC POLYMERS

Objective: The objective of the study is to explore polysaccharide mucilages of Colocasia esculenta (CE), and Fenugreek (FG) as buoyancy enhancing agents, and mucoadhesive agents by developing gastroretentive floating tablets of Glipizide. Methods: Glipizide loaded floating tablets were developed with CE, and FG alone and in combination of Guar gum (GG), and Hydroxypropyl methylcellulose (HPMC) K4M using direct compression technique. The developed formulations have been subjected to evaluation of in vitro buoyancy study, in vitro drug release study (pH 1.2), and in vitro bioadhesiveness study. Therefore, the final optimized formulation was subjected to Fourier Transform Infrared Spectroscopy (FTIR), Differential scanning calorimetry (DSC), and X-ray powder diffraction (XRD) study. Results: The results of the buoyancy study for formulation F1, F2, and F5 revealed that the instant floating lag time, floating time duration of 1 h, and exhibited 100% drug release in 4 h. Therefore, the formulations developed with GG (F3), and HPMC K4M (F4) have been exhibited slow floating lag time, prolonged floating duration and drug released up to 100 % in 12 h, while; formulations F6, F7, F8, and F9 have been exhibited shortest floating lag time, longest floating time duration, the best drug released up to 12 h, and better in vitro bioadhesiveness properties. Furthermore, F7 exhibited good bioadhesive property as compared to F6, F8-F9. The results of the FTIR, DSC, and XRD study for F7 revealed that the presence of functional groups and amorphous. Conclusion: Owing to the anticipated properties like biocompatibility, biodegradability, swelling ability, and cost-effectiveness of CE; it could be the potential macromolecule for the replacement of synthetic polymers.
Role of Cellulose Nanofibrils in Structure Formation of Pigment Coating Layers

The dried structure of paints and coatings are important to understand. In paper coatings, pigments and binder types are known to influence this structure. The influence of a new additive such as cellulose nanofibrils (CNF) on the interaction between the coating components is not thoroughly examined. In this study, the effect of CNF on the rheology of coating color and structure formation of the coating layer was investigated and compared to that of carboxymethyl cellulose (CMC). The addition of these two rheological modifiers made the dried coating layer porous, but the working mechanisms associated with these two additives were different. CMC, which flocculated coating components, limited the rearrangement of the components, resulting in a loosely packed coating structure in wet state. CNF, which did not significantly influence the interactions between the coating components, increased effective volume fraction by absorbing water. The water absorbing characteristics of CNF expanded the dried coating str.
MCI Detection Using Kernel Eigen-Relative-Power Features of EEG Signals

Classification between individuals with mild cognitive impairment (MCI) and healthy controls (HC) based on electroencephalography (EEG) has been considered a challenging task to be addressed for the purpose of its early detection. In this study, we proposed a novel EEG feature, the kernel eigen-relative-power (KERP) feature, for achieving high classification accuracy of MCI versus HC. First, we introduced the relative powers (RPs) between pairs of electrodes across 21 different subbands of 2-Hz width as the features, which have not yet been used in previous MCI-HC classification studies. Next, the Fisher’s class separability criterion was applied to determine the best electrode pairs (five electrodes) as well as the frequency subbands for extracting the most sensitive RP features. The kernel principal component analysis (kernel PCA) algorithm was further performed to extract a few more discriminating nonlinear principal components from the optimal RPs, and these components form a KERP feature vector. Results carried out on 51 participants (24 MCI and 27 HC) show that the newly introduced subband RP feature showed superior classification performance to commonly used spectral power features, including the band power, single-electrode relative power, and also the RP based on the conventional frequency bands. A high leave-one-participant-out cross-validation (LOPO-CV) classification accuracy 86.27% was achieved by the RP feature, using a simple linear discriminant analysis (LDA) classifier. Moreover, with the same classifier, the proposed KERP further improved the accuracy to 88.24%. Finally, cascading the KERP feature to a nonlinear classifier, the support vector machine (SVM), yields a high MCI-HC classification accuracy of 90.20% (sensitivity = 87.50% and specificity = 92.59%). The proposed method demonstrated a high accuracy and a high usability (only five electrodes are required), and therefore, has great potential to further develop an EEG-based computer-aided diagnosis system that can be applied for the early detection of MCI.
Is beauty more than skin deep? Attractiveness, power, and nonverbal presence in evaluations of hirability

Organization andHuman Resources Department, School ofManagement, University at Buffalo, The State University of NewYork, Buffalo, New York, USA 2 Business Administration Department, Williams College of Commerce, Economics, and Politics,Washington and Lee University, Lexington, Virginia, USA Department ofManagement,Warrington College of Business Administration, University of Florida, Gainesville, Florida, USA
Emerging Threats and Security Planning: How Should We Decide What Hypothetical Threats to Worry About?

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Moire Is Different

Graphene, as the thinnest material ever found, exhibits unconventionally relativistic behaviour of Dirac fermions. However, unusual phenomena (such as superconductivity) arise when stacking two graphene layers and twisting the bilayer graphene. The relativistic Dirac fermion in graphene has been widely studied and understood, but the large change observed in twisted bilayer graphene (TBG) is intriguing and still unclear because only van der Waals force (vdW) interlayer interaction is added from graphene to TBG and such a very weak interaction is expected to play a negligible role. To understand such dramatic variation, we studied the electronic structures of monolayer, bilayer and twisted bilayer graphene. Twisted bilayer graphene creates different moiré patterns when turned at different angles. We proposed tight-binding and effective continuum models and thereby drafted a computer code to calculate their electronic structures. Our calculated results show that the electronic structure of twisted bilayer graphene changes significantly even by a tiny twist. When bilayer graphene is twisted at special “magic angles”, flat bands appear. We examined how these flat bands are created, their properties and the relevance to some unconventional physical property such as superconductivity. We conclude that in the nanoscopic scale, similar looking atomic structures can create vastly different electronic structures. Like how P. W. Anderson stated that similar looking fields in science can have differences in his article “More is Different”, similar moiré patterns in twisted bilayer graphene can produce different electronic structures.