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Abstract Background Green bean, Phaseolus vulgaris L. (Fam.: Leguminosae) is a widely consumed grain legume prized for its edible seeds and pods. It is susceptible to infestations with various pests as insects and mites throughout the growing season. In this study, the efficacy of the predatory species, Chrysoperla carnea (Stephens), Phytoseiulus persimilis Athias-Henriot and the entomopathogenic fungus (EPF) Metarhizium anisopliae (Hypocreales: Clavicipitaceae), as well as conventional pesticides, Mospilan and Vertimec, were evaluated against the most important pests, mainly the whitefly, Bemisia tabaci (Genn.) and the two-spotted spider mite, Tetranychus urticae Koch, infesting the green beans cultivated at two locations Giza and El-Menoufia Governorates in Egypt. Results The findings demonstrate that treatments using C. carnea and M. anisopliae effectively reduced the whitefly population, while pesticide treatments were comparatively less effective. In the Giza plots, at the end of the experiments, the use of both M. anisopliae and C. carnea showed high reductions in whitefly population (85.57 and 84.87%), respectively, while in El-Menoufia, C. carnea (97.74%) was the most effective treatment followed by M. anisopliae (90.32%). Pesticide treatment in this case yielded a reduction rate of (22.76 and 59.67%) in Giza and El-Menoufia plots, respectively. However, for spider mite control, P. persimilis proved to be the most effective treatment in Giza and El-Menoufia plots, reducing the spider mite population to 98.44 and 96.14%, respectively. Metarhizium anisopliae treatment also displayed moderate effectiveness, with reduction rates of 75.62 and 75.37% in Giza and El-Menoufia plots, respectively. In comparison, pesticide treatment showed low effectiveness, with reduction rates of only 23.92 and 53.16% in the two locations, respectively. Conclusion Applications of the predator, C. carnea and the EPF, M. anisopliae were highly effective in reducing the population of whitefly, while the predator mite P. persimilis proved to be the most effective for controlling the spider mites. Overall, the study suggests that biocontrol agents, such as the predators and the EPF, can be considered as alternatives to synthetic chemical pesticides for controlling pests infesting green beans.

Recently, there has been a growing interest among academics worldwide in studying flight control systems. The advancement of tracking technologies, such as the X-15 adaptive flight control system developed at NASA (National Aeronautics and Space Administration), has sparked significant exploration efforts by scientists. The vast availability of aerial resources further contributes to the importance of studying adaptive flight control systems (AFCS). The successful operation of AFCS relies on effectively managing the three fundamental motions: pitch, roll, and yaw. Therefore, scientists have been diligently working on developing optimization algorithms and models to assist AFCS in achieving optimal gains during motion. However, in real-world scenarios, each motion requires its own set of criteria, which presents several challenges. Firstly, there are multiple criteria available for selecting appropriate optimization values for each motion. Secondly, the relative importance of these criteria influences the selection process. Thirdly, there is a trade-off between the performance of the criteria within a single optimization case and across different cases. Lastly, determining the critical value of the criteria poses another obstacle. Consequently, evaluating and selecting optimum methods for AFCS trajectory controls becomes a complex operation. To address the need for optimizing AFCS for various maneuvers, this study proposes a new selection process. The suggested approach involves utilizing black hole optimization (BHO), Jaya optimization algorithm (JOA), and sunflower optimization (SFO) as methods for detecting and correcting trajectories in adaptive flight control systems. These methods aim to determine the best launch of missiles from the AFCS based on the coordinate location for both long and short distances. Additionally, the methods determine the optimal gains for the FOPID (fractional order proportional integral derivative) controller and enhance protection against enemy attacks. The research framework consists of two parts. The first part focuses on improving the FOPID motion gains by employing optimization algorithms (BHO, JOA, and SFO) that are evaluated based on the FOPID criteria. Lower significant weighting values of the optimization algorithms demonstrate the best missile launching in a cosine wave trajectory within AFCS, while higher significant values indicate the best missile launching in a sine wave trajectory within AFCS. The FOPID controller criteria, including Kp_pitch, Ki_roll, Kd_yaw, λ_pitch, and µ_yaw, are considered in all situations. Furthermore, the study reports the best weights obtained for the ''Kp_pitch'' criterion across the motions as follows: (0.8147, 66.7190, and 54.4716). For the ''Ki_roll'' criterion, the best weights are (0.0975, 64.4938, and 64.7311), and for ''Kd_yaw'' the weights are (0.1576, 35.2811, and 54.3886). The results of the selection process by the BHO, JOA, and SFO algorithms also include λ_pitch (0.1419, 40.0791, and 72.1047) and µ_yaw (0.6557, 13.5752, and 52.2495). To ensure the validity of the proposed research framework, a systematic evaluation and precise analysis were conducted.

Case Presentation: A 60-year-old female presented to the emergency department with unilateral eye pain and vision loss. Point-of-care ultrasound (POCUS) was performed, which demonstrated ocular metastatic lesions of breast cancer. Discussion: Ocular metastasis is rare, clinically challenging, and may present with a wide range of ophthalmic symptoms. However, POCUS may safely and rapidly identify metastatic lesions to direct further care.

Recently, there has been a growing interest among academics worldwide in studying flight control systems. The advancement of tracking technologies, such as the X-15 adaptive flight control system developed at NASA (National Aeronautics and Space Administration), has sparked significant exploration efforts by scientists. The vast availability of aerial resources further contributes to the importance of studying adaptive flight control systems (AFCS). The successful operation of AFCS relies on effectively managing the three fundamental motions: pitch, roll, and yaw. Therefore, scientists have been diligently working on developing optimization algorithms and models to assist AFCS in achieving optimal gains during motion. However, in real-world scenarios, each motion requires its own set of criteria, which presents several challenges. Firstly, there are multiple criteria available for selecting appropriate optimization values for each motion. Secondly, the relative importance of these criteria influences the selection process. Thirdly, there is a trade-off between the performance of the criteria within a single optimization case and across different cases. Lastly, determining the critical value of the criteria poses another obstacle. Consequently, evaluating and selecting optimum methods for AFCS trajectory controls becomes a complex operation. To address the need for optimizing AFCS for various maneuvers, this study proposes a new selection process. The suggested approach involves utilizing black hole optimization (BHO), Jaya optimization algorithm (JOA), and sunflower optimization (SFO) as methods for detecting and correcting trajectories in adaptive flight control systems. These methods aim to determine the best launch of missiles from the AFCS based on the coordinate location for both long and short distances. Additionally, the methods determine the optimal gains for the FOPID (fractional order proportional integral derivative) controller and enhance protection against enemy attacks. The research framework consists of two parts. The first part focuses on improving the FOPID motion gains by employing optimization algorithms (BHO, JOA, and SFO) that are evaluated based on the FOPID criteria. Lower significant weighting values of the optimization algorithms demonstrate the best missile launching in a cosine wave trajectory within AFCS, while higher significant values indicate the best missile launching in a sine wave trajectory within AFCS. The FOPID controller criteria, including Kp_pitch, Ki_roll, Kd_yaw, λ_pitch, and µ_yaw, are considered in all situations. Furthermore, the study reports the best weights obtained for the ''Kp_pitch'' criterion across the motions as follows: (0.8147, 66.7190, and 54.4716). For the ''Ki_roll'' criterion, the best weights are (0.0975, 64.4938, and 64.7311), and for ''Kd_yaw'' the weights are (0.1576, 35.2811, and 54.3886). The results of the selection process by the BHO, JOA, and SFO algorithms also include λ_pitch (0.1419, 40.0791, and 72.1047) and µ_yaw (0.6557, 13.5752, and 52.2495). To ensure the validity of the proposed research framework, a systematic evaluation and precise analysis were conducted.

The study of unmanned systems has garnered significant academic attention worldwide. The advancements in tracking technologies, particularly the unmanned aerial vehicle (UAV) developed by the US Air Force, have motivated scientists to extensively explore this field due to the abundance of available aerial resources. However, the UAV’s effectiveness in motion is influenced by its three fundamental motions: pitch, roll, and yaw. To address this, scientists have been developing optimization algorithms and models to enhance the UAV’s performance. Nonetheless, in practical scenarios, each motion requires specific measurements, and their relative importance varies. This presents several challenges, including the existence of multiple criteria for selecting optimization values, determining the criteria’s significance, and evaluating trade-offs between performance across different optimization cases. Consequently, the selection and evaluation of UAV motion control algorithms becomes complex. This study proposes a novel selection process that employs the cuckoo optimization algorithm (COA) and real measured resizable margins for goal detection instead of traditional fixed-size evaluation criteria. The framework consists of enhancing PID motion gains using the COA algorithm, focusing on altitude and attitude functional PID controllers. The results of the selection process demonstrate the significance of various criteria for different motions. Rigorous evaluation and analysis were conducted to validate the proposed research framework.

Axonal regeneration and functional recovery are poor after spinal cord injury (SCI), typified by the formation of an injury scar. While this scar was traditionally believed to be primarily responsible for axonal regeneration failure, current knowledge takes a more holistic approach that considers the intrinsic growth capacity of axons. Targeting the SCI scar has also not reproducibly yielded nearly the same efficacy in animal models compared to these neuron-directed approaches. These results suggest that the major reason behind central nervous system (CNS) regeneration failure is not the injury scar but a failure to stimulate axon growth adequately. These findings raise questions about whether targeting neuroinflammation and glial scarring still constitute viable translational avenues. We provide a comprehensive review of the dual role of neuroinflammation and scarring after SCI and how future research can produce therapeutic strategies targeting the hurdles to axonal regeneration posed by these processes without compromising neuroprotection.

A thrust vector-controlled rocket model consists of army science board model responsible for computing the angles of the gravity center with a directivity of trajectory positions (x, z). A thrust vector-controlled rocket model is known to be #TVCASB for fall trajectory correction solving, but the falling issue of the trajectory correction is a hard when restricted to ASB model. In this work, we study TVCASB model, a mathematical model of TVCASB calculating which involves ASB variables in addition to position variables, and refer to this question: Why falling issue of the trajectory and correction of TVC is a hard on ASB model? Depend on MCDM results from JOA cases, we show that four MCDM methods can choose the better case for a two pieces of fractional order proportional integral derivative controller when set tuning process for TVC model on ASB with a suitable falling of trajectory correction whether be limited or specified for a high or low distance for the rocket motion. Our multi criteria decision making methods are based on mathematical calculations via three cases were proposed by JOA for rocket parameter estimation with a behavior of it, and in the following MCDM methods involving, MCDM normalization, MCDM WSM and WPM, MCDM VIKOR, are gave case 3 lower and upper bounds (0–100) is specified for a high distance and MCDM TOPSIS is gave case one lower and upper bounds (0–1) is limited for a lower distance, and pose this question: Why the MCDM methods are gave different results of JOA cases for TVCASB model? and which one between cases is better? The first reason, there is a different in mathematical calculation for weights assign. The second reason, three mentioned above methods are used for a high and specified distance for fall trajectory correct and MCDM TOPSIS is used for a limited distance, the better case between cases depends on our need whether a high (specified) or a limited (lower) distance.

Introduction Dual antiplatelet therapy has long been established as the preferred treatment option for patients with intracranial or extracranial stenting. Anticoagulation is the preferred treatment option for patients at high risk of stroke with embolic risk factors. There is no data currently available analyzing patients presenting with acute ischemic stroke on anticoagulation who require an intracranial and or extracranial stent (IC/EC), requiring DAPT and anticoagulation with mechanical thrombectomy. Our objective is toinvestigate differences in recanalization and outcomes as well as safety of DAPT and AC in the setting of AIS post MT with stenting when compared to patients without AC. Methods A retrospective search at a large comprehensive stroke center was conducted and data was analyzed from 2013 to 2022. Patients presenting with AIS on AC who had MT and required IC/EC stent were selected and compared to patients not on AC. Outcomes were measured as symptomatic ICH and mortality. Patient demographics, stroke risk factors and stroke severity were abstracted amongst other variables. Results There were 301 patients out of 917 (42.9% Female) who presented with anticoagulation use prior to mechanical thrombectomy requiring ic/ec stent placement and DAPT therapy. See Table 1 for baseline demographics. Symptomatic ICH was seen in 24 (7.9%) compared to 50 (8.1%), Odds ratio 0.86/ p‐value = 0.573, Mortality was seen in 51 (16.9%) patients who received DAPT and a/c compared to 129 (20.9%) (OR 0.67) p = 0.028. Logistic regression model did not show any significant difference (See Table 2). Conclusions There was no statistical difference in symptomatic ICH in acute ischemic stroke patients treated with mechanical thrombectomy and acute stenting on anticoagulation when compared to those without anticoagulation. There was statistical difference in mortality and DAPT/AC actually had lower mortality rates. This data suggests that performing intracranial and extracranial stenting in the acute stroke setting while on anticoagulation and adding DAPT is safe. A larger multicenter study with longer follow up is needed to further confirm these findings.

Food fraud and adulteration are the global issues, currently. One important issue is about gelatine since it comes from many sources of animals. Therefore, analytical method for gelatine must be developed and used for the authentication. This study was conducted to investigate the Volatile Compounds (VCs) of gelatine and the Maillard Reaction Products (MRPs) which are responsible to their aroma. Three gelatine standards from bovine, fish and porcine bought from Sigma Aldrich were used. A high reactivity reducing sugar namely xylose was used in the Maillard Reaction (MR). A Solid Phase Micro Extraction-Gas Chromatography-Mass Spectroscopy (SPME-GC-MS) used to evaluate the VCs in the samples. The VCs were identified by comparing the mass spectra of the compounds with database of NIST library. Moreover, retention time using the n-Alkane index were compared with literature data. There were 67 VCs have been identified. Among them, furfural, acetic acid, nonanone, dimethyl disulphide and decanone were considered as the important volatiles in gelatine due to its abundance. In the MRPs, furfural, 1-(2-furanylmethyl)-1H-pyrrole, 1-(2-furanyl)- ethanone, acetic acid and 2,2’-bifuran were predominant. Additionally, heptanol, octanal, nonanal, nonanone, dimethyl disulphide and dimethyl trisulphide could be considered as the important compounds due to its low odour threshold value. The compounds had a direct influence on the overall aroma of samples and could be potential to use in gelatine differentiation.

Background: Despite recent government efforts to control antibiotic purchase by the public, the rate of self-prescription is still alarmingly high in Saudi Arabia. Increased and inappropriate antibiotic use has been identified as an important factor behind bacterial resistance. Recently, there has been an increased interest in the Saudi public's awareness of antibiotic use and resistance. However, none of the local studies examined the awareness and practices among patients attending primary care services. Additionally, the influencing factors of awareness and practices have never been comprehensively examined. Objective: To assess the levels of knowledge, attitude, and practices of antibiotic use and their influencing factors among a sample of patients at a primary care setting. Methods: A cross-sectional design was used to examine patients attending Al Wazarat Health Center in Riyadh between 1 January 2018 and 31 March 2018. Data was collected using a structured study questionnaire which included data on socio-demographic and clinical characteristics of the participants, as well as knowledge, attitude, and practices of antibiotic use. Scores were calculated for knowledge, attitude, and practices of antibiotic use and were translated to a 100-point scale for easy interpretation. Results: The current analysis included 343 participants. The average age was 32.5 ± 10.0 years. The majority of the participants were women (63.0%), married (65.9%), and had college or higher education (57.0%). The overall antibiotic awareness level was 54.7% (including 43.9% for knowledge and 71.7% for attitude) and appropriate antibiotic practices were 68.3%. The scores of both awareness and practices were positively and significantly correlated (correlation coefficient = 0.440, P < 0.001). In addition to appropriate antibiotic practices, awareness was significantly associated with higher educational level and having children. Conclusions: The current findings indicate the need to improve awareness and understanding of the public regarding appropriate antibiotic use by targeting patients who attend primary care services with posters, structured educational sessions, and physician advice.

Abstract Background Pneumorrhachis (PR) describes the rare presence of intraspinal air, mainly following traumatic or iatrogenic procedures. According to the localization of air in the spinal canal, PR has been classified into internal (subdural) and external (epidural). PR rarely manifests in neurological deficits and usually resolves spontaneously without recurrence, with air being passed directly into the bloodstream. Here, we report a case of external PR occurring spontaneously (without any underlying trauma or surgical interventions) manifesting as neurological deficits. This is an extremely rare finding with only a limited number of cases in the literature. Case presentation We report a case of spontaneous external PR manifesting as neurological symptoms in a 62-year-old male diabetic patient with chronic low backpain who developed numbness in his perineal region mainly on the left side. His medical history was normal, without trauma or surgical intervention. Magnetic resonance imaging (MRI) and computed tomography (CT) in the past 2 years demonstrated degenerative changes in the lumbar spine, including end plates and disc spaces, with intervertebral disc vacuum phenomenon (VP); the CT additionally showed intraspinal air in the epidural space at L5-S1 levels compressing the cauda equina. A diagnosis of spontaneous external PR was made. A follow-up MRI upon exacerbation of neurological deficits showed an increase in air locule size. Our patient was managed conservatively on a nonsteroidal anti-inflammatory agent (NSAID) and was advised for regular follow-ups. No aspiration or surgery has been performed to date. Conclusions Spontaneous external pneumorrhachis manifesting as neurological symptoms is extremely rare. Due to degenerative disc disease producing vacuum phenomenon, we propose that spontaneous PR secondary to intradiscal VP be considered as part of the differential for radicular symptoms, especially with increasing age. The most effective noninvasive investigation for the diagnosis of PR is CT. MRI is less beneficial in the case of PR as gas and calcifications are hard to distinguish, both being of low-intensity signals on all MR sequences.

Intelligent regulation for human exercise behaviors becomes significantly necessary for exercise medicine after the COVID-19 epidemic. The key issue of exercise regulation and its potential development for intelligent exercise is to describe human exercise physiological behaviors in a more accurate and sufficient manner. Here, a non-parametric modeling method with kernel-based regularization is presented to estimate cardiorespiratory biomarkers (i.e., oxygen uptake (V̇O2) and carbon dioxide output (V̇O2) by merely non-invasively monitoring the indicator of exercise intensity (e.g., walking speed). Using the kernel-based non-parametric modeling, we show that V̇O2 and V̇O2 behaviors in response to continuous and diversified exercise intensity stimulations can be quantitatively described. Furthermore, the dataset from the stairs experiment with a proper protocol is applied in the kernel parameter selection, and this selection approach is compared with the numerical simulation approach. The comparison results illustrate an improvement of 4.18% for oxygen uptake and 7.63% for carbon dioxide output in a half period, and 11.00% for oxygen uptake and 12.60% for carbon dioxide output in one period when using the kernel parameter selected from the stairs exercise. Moreover, the advantages of using the non-parametric model, the necessity of sufficient stimulation for identification and the importance of the kernel regularization term are also addressed in this paper. This method provides fundamental work for the practice of intelligent exercise.

ABSTRACT: Lipase enzyme originated from wheat germ was immobilized on nylon -6- grafted with polyglycidyl methachrylate (PGMA). The immobilization of enzyme experiments were designed and studied using face centred central composite design (FCCCD) under response surface methodology (RSM). Prior to immobilization, the polymer was activated with diethyl amine/ethanol to introduce an amine functional group to facilitate covalent bonding with the enzyme. The immobilized and free enzymes were characterized for effect of temperature and pH on enzyme activity, stability, storage and reusability as well as kinetics studies. ANOVA revealed that optimum lipase activity of 0.287 U/ml was achieved at immobilization time of 5 h, pH of 6 and 1.0 mg/ml for enzyme concentration. The optimum temperatures and pH for immobilized and free enzymes were 45 °C and 35 °C, and 8 and 7, respectively. The immobilized enzyme showed higher stability compared to free enzyme. The immobilized enzyme retained 18% of its activity after being recycled 8 times. In a storage stability test, immobilized lipase was able to retain 70% of its activity after being stored for 30 days, while free enzyme activity dropped to 15 % after 20 days of storage. ABSTRAK:Enzim Lipase telah dihasilkan daripada mikroorganisma pegun gandum di atas nilon -6- dan digraf bersama poliglisidel methakrilet (PGMA). Enzim pegun ini direka dan dikaji secara eksperimen menggunakan reka bentuk campuran pusat pada permukaan (FCCCD) di bawah kaedah tindak balas permukaan (RSM). Sebelum menjadi pegun, polimer ini telah diaktifkan dengan dietil amine/ethanol bagi menghasilkan kumpulan fungsi amine bagi membantu ikatan kovalen atom pada enzim. Enzim pegun dan bebas ini telah dikategorikan mengikut kesan enzim ke atas suhu, aktiviti enzim ke atas kesan pH, kestabilan, keboleh-simpanan dan keboleh-gunaan balik, serta ujian tindak balas kinetik. ANOVA membuktikan bahawa aktiviti optimum enzim lipase ini adalah sebanyak 0.287 U/ml telah terhasil selama 5 jam pegun, pada pH 6 dan kepekatan enzim sebanyak 1.0 mg/ml. Suhu dan pH optimum, pada enzim pegun dan enzim bebas ini adalah pada 45 °C dan 35 °C, dan pH 8 dan 7, masing-masing. Enzim pegun ini menunjukkan lebih stabil daripada enzim bebas. Enzim pegun dilihat kekal 18% daripada aktivitinya selepas 8 kali ulangan. Melalui ujian kestabilan simpanan, enzim lipase pegun dapat mengekalkan 70% daripada aktivinya selepas disimpan selama 30 hari, manakala aktiviti enzim bebas telah menurun kepada 15% selepas 20 hari dalam simpanan.

The construction of the Kayu Agung-Palembang-Betung (abbreviated as Kapal Betung) toll road has an impact on changes in the income of rice farmers. The aim of this research was to analyze the changes of farmers’ income after converting their non-tidal swamp land to toll road. The research method used in this study is the survey method. In this study the random sampling method used by incidentally. The samples were 60 persons. There was a change in farmers' income before and after converting their rice fields. The livelihoods of post-conversion farmers also experience an increase in the variety of occupations. Even though the value of farmers' income after conversion of paddy fields has increased; but this condition needs special attention for policy makers, because of the decreasing number of farmers who will have an impact on national food sovereignty.

The objective of the research was to compare rice farmers’ income and capital creation base on a different source of rice farming financing. The study population comprised 180 farmers, 105 of which represented the own funding farmers and the rest were loan funding farmers. These were interviewed to record the rice farming behavior with a different financial source in the sixth bigger rice production in Indonesia, namely South Sumatera Province. Rice farming analysis and continued t-test was used to analyze for different production and income. Research results showed that rice productivity of own funding rice’s farmers was 29% greater than farmers on loan funding farmers. On the other hand, producing cost of own funding farmers 26% was lower than loan funding farmers. This condition causes the income of own funding rice’s farmers per hectare 56% was greater than the income of loan funding farmers. Moreover, with the family spending were not too different, capital creation of own funding farmers was greater than loan funding farmers. Almost half of the farmers have a medium level of capital creation capability, the remaining one third was more classified as high capital creation and one-eighth was classified as low. To reduce rice farming cost of loan funding farmers are savings of labor costs by supervising their labor and finding sources of loans with the lowest loan interest rates.

The grain size analysis plays a significant role in any geotechnical study. The grain size analysis, by means of sieving, is usually used for coarse material of particle size > 75 μm. For the fine material; the sedimentation methods are frequently adopted (e.g., hydrometers). Other methods also exist such as electron microscopy, digital image analysis and laser diffraction. The fine geomaterials commonly undergo agglomeration which makes the recognition of individual grain size using digital image analysis or electron microscopy challenging. To facilitate and enhance the grain-size analysis, this study was conducted using the Laser Diffraction System (LDS). Seven samples with different nature (composition and texture) and sources were analyzed by hydrometer and LDS. For LDS, various factors were studied such as air pressure, sonication, dilution, refractive index, and distribution method (volume or number). The results were compared qualitatively and quantitatively based on soil classification systems, fractal dimensions, and other parameters. Furthermore, this study provided a novel criterion to determine which LDS distribution method (volume or number) is to be used depending on the Liquid Limit. A combined sieve-LDS system is recommended to obtain the entire grain size distribution. It is concluded that the LDS is a viable technique that can replace the time-consuming hydrometer method to assess the grain-size distribution.

Case Presentation: A 60-year-old female presented to the emergency department with unilateral eye pain and vision loss. Point-of-care ultrasound (POCUS) was performed, which demonstrated ocular metastatic lesions of breast cancer.Discussion: Ocular metastasis is rare, clinically challenging, and may present with a wide range of ophthalmic symptoms. However, POCUS may safely and rapidly identify metastatic lesions to direct further care.

The aim of this study was to improve the solubility of etoposide–ethylcellulose (ET–ETO) microparticles using the freeze-drying technique. Ethylcellulose (EC) microparticles loaded with etoposide (ETO) were prepared with different drug–polymer molar ratios of 1:1, 1:3, 1:6, and 1:20 by the solvent evaporation method. The size of the prepared microparticles was 0.088 µm. The results showed that the amount of ETO encapsulated into the microparticles was 387.3, 365.0, 350.0, and 250 µg/50 mg microparticles for microparticles with drug–polymer ratios of 1:1, 1:3, 1:6, and 1:20, respectively. The FT-IR spectra showed no chemical interaction between ETO and the polymer in the solid state. The results obtained from the dissolution experiment showed that the freeze-dried microparticles were stable in 0.1 N HCl (gastric pH) for 2 h. At pH 7.4, the ETO release was 60 to 70% within the first 15 min and approximately 100% within 30 min. Results from the application of different dissolution models showed that the equations that best fit the dissolution data for the ET–ETO microparticles at pH 7.4 were the Higuchi and Peppas model equations. The in vitro cytotoxicity assay of free ETO and freeze-dried microspheres prepared in this study with a drug–polymer ratio of 1:1 was performed in two mammalian cancer cell lines, MCF-7 (for bone cancer of the mammary organ) and Caco-2 (for mammalian epithelial colorectal adenocarcinoma). The results showed that the half-maximal inhibitory concentrations (IC50 values) for ETO and freeze-dried ET–ETO microparticles were 18.6 µM and 27.1 µM, respectively. In conclusion, freeze-dried ET–ETO is a promising formulation for developing a fast-dissolving form of ETO with a significant antiproliferative activity against the tested cell lines used in this study. It is a promising formulation for local duodenal area targeting.

This paper involves the design and implementation of cell phone detection mobile robot. This is applicable in examination halls, private conferences and meeting rooms in which the using of cell phones is highly restricted. The robot is able to detect the presence of unauthorized communications by active phones and then distort them. The detection process is achieved by implementing an electrical circuit for sensing undesirable signals and using NodeMCU for interfacing the robot with a main computer unit. The main computer unit is used as a controlling platform in terms of mobile robot navigation as well as detection and jamming activating. This is accomplished by creating a graphical control panel programmed using a special HTML script. In this work, the cell phone detection mobile robot has been applied in an examination hall to simulate real educational environment. The robot has detected active calls by cell phones with a circle diameter of 1.2 meter and then jammed them directly. The whole area has been covered for detection and jamming by roaming the robot wirelessly via the remote main computer. Different voltage measurements for different detection distances have been recorded.

The ability of Candida cylindracea lipase produced using palm oil mill effluent (POME) as a basal medium to catalyze the esterification reaction for butyl butyrate formation was investigated. Butyric acid and n-butanol were used as substrates at different molar ratios. Different conversion yields were observed according to the affinity of the produced lipase toward the substrates. The n-butanol to butyric acid molar ratio of 8 and lipase concentration of 75 U/mg gave the highest butyl butyrate formation of 63.33% based on the statistical optimization using face centered central composite design (FCCCD) after 12 h reaction. The esterification potential of the POME based lipase when compared with the commercial lipase from the same strain using the optimum levels was found to show a similar pattern. It can be concluded therefore that the produced lipase possesses appropriate characteristics to be used as a biocatalyst in the esterification reactions for butyl butyrate formation.

The thermal parameters of Mg-2.8Nd-1.5Gd-0.5Zn-0.5Zr cast alloy with 0.25 wt.% of erbium (Er) were evaluated by the computer-aided cooling curve thermal analysis(CA CCTA), whereas the microstructure analysis was investigated by the optical microscope and scanning electron microscopy. Results from the cooling curve and microstructure analysis showed that Er altered the grain size of the alloys. In addition, the grain size was reduced by approximately 19.6% with the addition of Er. Scanning electron microscopy results showed that Er formed an Mg-Zn-Nd-Er phase which distributed along the grain boundaries. Furthermore, the mechanical properties were investigated by hardness and tensile tests with Er addition. The addition of 0.25 wt.% of Er significantly improved the ultimate tensile strength and yield strength. In addition, the hardness value of Mg-2.8Nd-1.5Gd-0.5Zn-0.5Zr increased by 13.9% with Er addition.

The article discusses the challenges related to voltage and power management in automated intelligent photovoltaic (PV) systems. It suggests that Fractional Order Proportional Integral Derivative (FOPID) controllers can help address these challenges effectively. The research aims to create a highly adaptable and precise automated intelligent PV system that focuses on managing voltage and power issues. It introduces a novel approach using the Black Hole Optimization (BHO) algorithm and leverages the advantages of FOPID controllers for automation. The study also considers thermal models for batteries within the automated intelligent PV system and explores different options to handle voltage and power issues stemming from PV panels. It involves fine-tuning 15 parameters using the BHO algorithm and concludes that one configuration (Instance 1) is preferable due to its superior accuracy and scalability. This choice is supported by objective validation. In essence, your abstract is about improving the performance and automation of PV systems, particularly in dealing with voltage and power challenges, through the application of FOPID controllers and the innovative BHO algorithm. [ABSTRACT FROM AUTHOR]

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In the dynamic realm of Automatic Voltage Regulation (AVR), the pursuit of robust transient response, adaptability, and stability drives researchers to explore novel avenues. This study introduces a groundbreaking approach--the Hybrid Intelligent Fractional Order Proportional Derivative2+Integral (FOPDD+I) controller--leveraging the power of the Adaptive Neuro-Fuzzy Inference System (ANFIS). The novelty lies in the comparative analysis of three scenarios: the AVR system without a controller, with a traditional PID controller, and with the proposed FOPDD+I-based ANFIS. By fusing ANFIS with a hybrid controller, we forge a unique path toward optimized AVR performance. The hybrid controller, based on FOPID (Fractional Order Proportional Integral Derivative) principles, synergizes individual integral factors with ANFIS, augmenting them with a doubled derivative factor. The ANFIS design employs a hybrid optimization learning scheme to fine-tune the Fuzzy Inference System (FIS) parameters governing the AVR system. To train the fuzzy inference system, we utilize a Proportional-Integral-Derivative (PID) simulation of the entire AVR system, capturing essential data over approximately seven seconds. Our simulations, conducted in MATLAB/Simulink, reveal impressive performance metrics for the FOPDD+I-ANFIS approach: Rise time: 1.1162 seconds, settling time: 0.5531 seconds, Overshoot: 0%, Steady-state error: 0.00272, These results position our novel approach favorably against existing works, underscoring the transformative potential of intelligent creation in AVR control. [ABSTRACT FROM AUTHOR]