Scientific outreach activities play an important role in disseminating knowledge, connecting the general public to research and breaking down scientific scepticism barriers. However, the vision impaired community is often disadvantaged when the most common audio-visual approach of scientific communication is applied. Here we integrated tactile clues in the scientific communication of immune processes involved in the autoimmune skin disease psoriasis. We encouraged participation of the vision impaired community by engagement with tactile scientific origami art, a haptic poster and wood carved molecular models. Readily accessible science communication that engages a number of senses is a critical step towards making science more inclusive, and engaging for individuals with a wide range of sensory abilities. The Sensory Science approach aligns with the principles of equity, diversity, and inclusion and helps create a more informed and scientifically literate public.

The ATP-dependent DNA ligase Lig E is present as an accessory DNA ligase in numerous proteobacterial pathogen genomes, including many disease-causing species. Here we have constructed a genomic Lig E knock-out in the obligate human pathogen Neisseria gonorrhoeae and characterised its growth and infection characteristics. This demonstrates that N. gonorrhoeae Lig E is a non-essential gene and its deletion does not cause defects in replication or survival of DNA-damaging stressors. Knock-out strains were partially defective in biofilm formation on an artificial surface as well as adhesion to epithelial cells which coupled with the predicted extracellular/ periplasmic location of Lig E indicates a role in extracellular DNA joining. In addition to in vivo characterisation, we have recombinantly expressed and assayed N. gonorrhoeae Lig E and determined the crystal structure of the enzyme-adenylate engaged with DNA substrate in an open non-catalytic conformation, providing insight into the binding dynamics of these minimal DNA ligases.

Objective Machine learning has been effective in other areas of medicine, this study aims to investigate this with regards to HNC and identify which algorithm works best to classify malignant patients. Design An observational cohort study. Setting Queen Elizabeth University Hospital. Participants Patients who were referred via the USOC pathway between January 2019 and May 2021. Main outcome measures Predicting the diagnosis of patients from three categories, benign, potential malignant and malignant, using demographics and symptoms data. Results The logistic regression-based models with a penalty term worked best on the data, ridge achieving an AUC of 0.7081. The demographic features describing living alone and recreational drug use history were the most important variables alongside the red flag symptom of a neck lump. Conclusion Further studies should aim to collect larger samples of malignant and pre-malignant patients to improve the class imbalance and increase the performance of the machine learning models.

A straightforward electrochemical hydrogenation of benzo[b]thiophene 1,1-dioxides with HFIP as the hydrogen donor has been re-ported in an undivided cell under metal-free conditions. Moreover, the tolerance of various functional groups and scaled-up experi-ments showed the practicability and potential applications of this methodology.

Simulation and optimization of chemical flowsheets rely on the solution of a large number of non-linear equations. Finding such solutions can be supported by constructing machine-learning based surrogates, relating features and outputs by simple, explicit functions. In order to generate training data for those surrogates computationally efficiently, schemes to adaptively sample the feature space are mandatory. In this article, we present a novel family of utility functions to favor an adaptive, Bayesian exploration of the feature space in order to identify regions that are convergent, fulfill customized inequality constraints and are Pareto-optimal with respect to conflicting objectives. The benefit is illustrated by small toy-examples as well as by industrially relevant chemical flowsheets.

Introduction Humanitarian crisis means any event or series of events that are harmful to the health or security of the general population. The Niger Republic is recently facing serious crisis amid the military coup of 26 th of July, 2023. Our fear is that if nothing is done about it quickly, there could be a civil war in Niger and other neighbouring countries. Aim The aim of this present article is to provide comprehensive knowledge about the ongoing humanitarian crisis in Niger, highlighting the factors that caused it and providing possible solutions for them. Methodology A literature search was done about the recent humanitarian crisis amid the military coup in the Niger Republic through databases such as PubMed, ResearchGate, Google Scholar, World Health Organization, United Nations, Online Newspapers and Reports between a 10-year-period. Result We found that the humanitarian crisis amid the military coup in Niger Republic has further amplified the vulnerability of millions of Nigeriens to more problems in the Niger Republic. The number of Nigeriens in need of humanitarian assistance has reportedly increased by 65% from 2.3 million in 2019 to 3.8 million in 2021. More than two million children in Niger have been impacted by the crisis in the country and are in need of humanitarian assistance. Furthermore, other causes of humanitarian crisis in the Niger Republic include; sociodemographic factors, climate change and other natural disasters. Conclusion The humanitarian crisis in Niger, caused by different factors such as socioeconomic stagnation, environmental causes, food insecurity, terrorist activities, and internal displacement is an alarming situation that requires an urgent solution and a response from the international community. There is a need to analyse all the underlying causes of humanitarian crises and find long-lasting solutions for them.

We report on the spectroscopic investigation of common bacteria encountered in biopharmaceutical industries with spectroscopic definition and specificity using mid-infrared laser spectroscopy. This study describes the detection of three different bacteria species using quantum cascade laser spectroscopy coupled to a grazing angle probe (QCL-GAP). Stainless steel substrates were used as support for the bacterial samples. QCL-GAP spectroscopy was assisted by multivariate analysis (MVA) to assemble a powerful spectroscopic technique with classification, identification, and quantification resources. The bacterial species analyzed, Staphylococcus aureus, Staphylococcus epidermidis, and Micrococcus luteus, were used to challenge the technique’s capability to discriminate microorganisms from the same family. Principal component analysis and partial least squares-discriminant analysis differentiated between the bacterial species using QCL-GAP. Spectral differences in the bacterial membrane were used to determine if these microorganisms were present in the samples analyzed. Results herein provided effective discrimination for the bacteria under study with high sensitivity and specificity values.

The present study combined behavioral measures and EEG to investigate the impact of emotional valence on both auditory and written word processing. Participants were first presented with a series of auditory words with varying emotional valence (positive, neutral and negative) produced in neutral tone, which they rated according to valence level. Subsequently they performed a surprise recognition task with written stimuli (half being foils). Our results revealed a significant valence/arousal effect on word recognition; written words with high-arousal and either positive or negative valence were recognized with higher accuracy compared to low-arousal neutral ones. EEG analyses revealed an effect of valence only for words presented in written format; no effects were found for auditory words. For written words, both positive and negative valence elicited a larger P2 response in comparison to neutral valence, indicating allocation of attentional resources. Critically, a reduced N400 was observed only for negative words, suggesting facilitated processing of unpleasant information perhaps due to better encoding during the auditory presentation. Overall, our study provides valuable insights into the cognitive mechanisms involved in integrating emotional information presented in distinct modalities, shedding light on the influence of valence on word recognition.

Background: Primary bone marrow diffuse large B-cell lymphoma (PBM-DLBCL) is a rare hematological malignancy with a poor prognosis. The lack of a clear definition and unified diagnostic criteria for this disease in the WHO classification poses challenges for its diagnosis and management. Patients and Methods: To gain insights into the clinicopathological characteristics of PBM-DLBCL and explore prognostic factors, we conducted a study using data from our center and published literature spanning from 2001 to 2022. A total of 70 patients were included in our analysis. Results: Univariate analysis revealed that patients presenting with B symptoms and higher IPI scores tended to have a poorer prognosis, although statistical significance was not achieved (P>0.05). However, patients who attained a complete response (CR) after initial therapy exhibited better outcomes (P=0.007). Intensive treatment regimens demonstrated potential benefits over general treatment approaches. Additionally, our investigation suggested that rituximab-based chemotherapy was associated with improved prognoses compared to other general regimens. Conclusion: PBM-DLBCL is an aggressive disease with distinct clinical, pathological, and imaging features. It is crucial to understand the clinical characteristics of PBM-DLBCL, identify clinical risks in a timely manner, and determine appropriate treatment regimens.

Background: Recently，epidermal growth factor receptor (EGFR) -targeting drugs have benefited thousands of patients with EGFR mutation-positive (EGFR MUT+) non-small-cell lung cancer (NSCLC). Nevertheless, nearly all patients with NSCLC who were sensitive to first- or second-generation EGFR-tyrosine kinase inhibitors (EGFR-TKIs), finally developed resistance. Therefore, numerous clinicians have focused on improving the clinical effect of first-generation EGFR-TKIs (1st-gen EGFR-TKIs). Methods: To analyze the therapeutic outcomes of individuals with progressive NSCLC, a retroactive assessment was performed on 86 patients who were medicated with only icotinib or combined with pemetrexed and platinum-based chemotherapy at The First Affiliated Hospital of Henan University of Science and Technology (HAUST). Results: Eighty-six patients with NSCLC-bearing EGFR-sensitive mutations were retroactively analyzed. The results showed statistical significance in PFS (P = 0.049) and disease control rate DCR (P = 0.031) between icotinib + chemotherapy and icotinib alone, especially in the brain metastases (P = 0.021) and L-858R mutation subgroups (P = 0.05). According to the findings of the multivariate analysis, treatment (P = 0.033) and EGFR mutation status (P = 0.019) were significant predictive variables. The OS comparison between icotinib + chemotherapy and icotinib alone were not significantly different. The study included a total of 1242 patients, of which 648 obtained combined treatment and 594 obtained first-generation EGFR-TKI monotherapy. Analyzing the relevant data from multiple studies, the results showed significant improvements in ORR (RR: 0.63, 95% CI: 0.49–0.82, P = 0.0006), PFS (RR: 0.61, 95% CI: 0.47–0.79, P = 0.0002), and OS (RR: 0.67, 95% CI: 0.51–0.88, P = 0.004) for those on combination therapy. However, there was also an increase in treatment-emergent AEs among these patients. Conclusion: In summary, administering first-generation EGFR-TKI concurrently with chemotherapy provides an edge in the therapeutic management of locally or severely advanced NSCLC that is EGFR-positive. Therefore, EGFR mutation-positive NSCLC (EGFR MUT+ NSCLC) patients in this condition may find it advantageous to consider using 1st-gen EGFR-TKIs in conjunction with chemotherapy (1st-gen EGFR-TKIs + Chemo).

A document by Li-Xia Wang. Click on the document to view its contents.

IntroductionMultiple sclerosis is an infrequent inflammatory disease of the central nervous system (CNS) that is distinguished by its assorted clinical and radiological presentations [1, 2]. Tumefactive demyelination, or tumefactive multiple sclerosis, stands apart as a distinctive entity within this spectrum. Demyelinating lesions in the central nervous system (CNS) are a sign of these diseases. These lesions can be big, measuring 2 cm or more in diameter, or small, measuring between 0.5 cm and 2 cm, but have the potential to cause mass effects. This unique feature may result in these lesions being initially misidentified as tumor-like space-occupying lesions; however, they typically exhibit a characteristic appearance on radiographic imaging and are clinically benign [3–5]. Tumefactive demyelination, which is distinct from multiple sclerosis, occurs at an estimated rate of about 1-2 per 1000 cases of MS, although some studies propose a higher incidence ranging from 1.4% to 8% [6–7]. However, tumefactive demyelinating lesions can occur concurrently with autoimmune diseases (e.g., Sjogren disease, lupus erythematosus, neuromyelitis optica), infectious diseases (e.g., HIV), malignancy (e.g., renal cell carcinoma), drug-related conditions (e.g., tacrolimus, fingolimod), and postinfectious conditions (e.g., acute disseminated encephalomyelitis, acute hemorrhage leukoencephalitis). Tumefactive demyelination can show up on its own at the start of a disease or as other diseases progress, but the pathophysiology of how it happens is not well understood. On magnetic resonance imaging (MRI) scans, these lesions can appear either as a single large lesion or several lesions exhibiting varying degrees of contrast enhancement. We present here a case study involving a thirty-year-old female who presented with a fever lasting three days followed by Wernicke’s aphasia without right-sided weakness and whose MRI findings were consistent with tumefactive brain demyelination.

Like other members of the Brassicaceae, plants in the wallflower genus (Erysimum) produce glucosinolates, which are potent defenses against a wide range of herbivores. As a more recently evolved second line of defense, Erysimum produces cardiac glycosides, which are allosteric inhibitors of Na+,K+-ATPases in animals. Cardiac glycoside biosynthesis has evolved in diverse lineages including foxglove (Digitalis, Plantaginaceae) and milkweeds (Apocynaceae), but the full biosynthetic pathway has not been described in any species. We identify and generate CRISPR/Cas9 knockouts of two cytochrome P450 monooxygenases involved in cardiac glycoside biosynthesis in wormseed wallflower (Erysimum cheiranthoides L.): EcCYP87A126, which cleaves the side chain from sterol precursors to initiate cardiac glycoside biosynthesis, and EcCYP716A418, which has a role in cardiac glycoside hydroxylation. In the EcCYP87A126 knockout lines, cardiac glycoside production is eliminated, effectively reversing Erysimum’s escape from herbivory. For the generalist herbivores green peach aphid (Myzus persicae Suzler) and cabbage looper (Trichoplusia ni Hübner), cardiac glycosides appear to be largely redundant with glucosinolates, having some effect in choice assays but little to no effect on insect performance. By contrast, the crucifer-feeding specialist cabbage butterfly (Pieris rapae L.), which will not oviposit or feed on wildtype E. cheiranthoides, is able to complete its life cycle on cardenolide-free E. cheiranthoides mutant lines. Thus, our study demonstrates in vivo that cardiac glycoside production allows Erysimum to escape from a specialist herbivore.

Most foundational work on the evolution and migration of plant species relies on genomic data from contemporary samples. Ancient plant samples can give us access to allele sequences and distributions on the landscape dating back to the mid Holocene or earlier (Gugerli et al., 2005). Nuclear DNA from ancient wood, however, has been mostly inaccessible until now. In a From the Cover article in this issue of Molecular Ecology, Wagner et al. (2023) present the first nuclear genomes from ancient to subfossil oak wood, including two samples dated to the 15th century and one that dates to more than 3,500 years ago. These first assembled nuclear genomes from ancient trees open the possibility for investigating species adaptation, migration, divergence, and hybridization in the deep past. They pave the way for what we hope will be a new era in the use of paleogenomics to study Holocene tree histories.

Ecological divergence due to habitat difference plays a prominent role in the formation of new species but the genetic architecture during ecological speciation and the mechanism underlying phenotypic divergence remain less understood. Two wild rice species (O. rufipogon and O. nivara) are a progenitor-derivative species pair with ecological divergence and provide a unique system for studying ecological adaptation/speciation. Here, we constructed a high-resolved linkage map and conducted a quantitative trait locus (QTL) analysis of 19 phenotypic traits using an F2 population generated from a cross between the two wild rice species. We identified 113 QTLs associated with interspecific divergence of 16 quantitative traits, with effect sizes ranging from 1.61% to 34.1% in terms of the percentage of variation explained (PVE). The distribution of effect sizes of QTLs followed a negative exponential, suggesting that a few genes of large effect and many genes of small effect were responsible for the phenotypic divergence. We observed 18 clusters of QTLs (QTL hotspots) on 11 chromosomes, significantly more than that expected by chance, demonstrating the importance of coinheritance of loci/genes in ecological adaptation/speciation. Analysis of effect direction and v-test statistics revealed that interspecific differentiation of most traits was driven by divergent natural selection, supporting the argument that ecological adaptation/speciation would proceed rapidly under coordinated selection on multiple traits. Our findings provide new insights into the understanding of genetic architecture of ecological adaptation and speciation in plants and helps effective manipulation of specific genes or gene cluster in rice breeding.

Recent work indicates that feralisation is not a simple reversal of domestication, and therefore raises questions about the predictability of evolution across replicated feral populations. In the present study we compare genes and traits of two independently established feral populations of chickens (G. gallus) that inhabit archipelagos within the Pacific and Atlantic regions to test for evolutionary parallelism and/or divergence. We find that these two feral populations share close genetic similarities despite the lack of any current gene flow between them. Next, we used genome scans to contrast the targets of feralisation (selective sweeps) between the two independently feral populations from Bermuda and Hawaii. Three sweep loci (each identified by multiple detection methods) were shared between feral populations, and this overlap is inconsistent with a null model in which selection targets are randomly distributed throughout the genome. In the case of the Bermudian population, many of the genes present within the selective sweeps were either not annotated or of unknown function. Of the nine genes that were identifiable, five were related to behaviour, with the remaining genes involved in bone metabolism, eye development, and the immune system. Our findings suggest that a subset of feralisation loci (i.e. genomic targets of recent selection in feral populations) are shared across independently-established populations, raising the possibility that feralisation involves some degree of parallelism or convergence. A clearer understanding of whether these reflect selection for similar functional traits (‘feralisation syndromes’) will require elucidating genotype-phenotype relationships in any populations being compared.

Alemtuzumab‐induced petechiae and epistaxis in a patient with relapsing remitting multiple sclerosis; A case report Farhad Mahmoudi1*, Sayed Ali Emami1, Farid Masaeli1, Najmeh Rayatpisheh21 School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran2School of Medicine, Shahrekord University of Medical Sciences, Shahrekord, IranCorresponding author*Farhad MahmoudiSchool of Medicine,Isfahan University of Medical Sciences,Isfahan, IranEmail: farhad.mg116@gmail.comAbstract: This case report presents a 58-year-old woman with Multiple Sclerosis (MS) who developed petechiae and epistaxis, rare side effects following Alemtuzumab treatment. While these reactions are infrequent, heightened awareness among healthcare providers is essential as Alemtuzumab gains popularity in MS treatment. Recognizing and managing such hypersensitivity reactions promptly is crucial for improved patient care. 1.Introduction Multiple Sclerosis (MS) is an autoimmune disease that affects the central nervous system. The course of the disease varies among individuals, leading to a wide range of symptoms and patterns of presentation. Additionally, there are other conditions, such as radiologically isolated syndrome, which can progress to MS(1). While there is no curative therapy for this condition, certain drugs can modify the course of the disease and improve the prognosis and quality of life for patients.Disease-modifying treatments (DMTs) are the preferred treatment option for patients with MS. Alemtuzumab is an intravenously administered DMT drug that has been available since 2014 for the treatment of patients with multiple sclerosis who have not responded adequately to two or more DMTs. It is a recombinant DNA-derived humanized monoclonal antibody that selectively binds to the CD52 antigen on B and T lymphocytes, depleting them from the bloodstream. This drug has been described as a safe and effective treatment with minimal side effects for patients with relapsing-remitting multiple sclerosis.(2)While there are few studies on the cutaneous adverse effects of Alemtuzumab, in this study, we report the first case of an MS patient treated with Alemtuzumab who developed drug-induced petechiae and epistaxis.2. Case presentationA 58-year-old Caucasian woman with relapsing-remitting multiple sclerosis, who had no previous medical conditions, presented to the emergency department due to muscle spasms and stiffness in her right foot. Neurological examination revealed weakness in her right lower limb with 3/5 muscle strength. She was diagnosed with MS at the age of 26 through an MRI and had previously been on weekly Interferon-beta (IFNb) treatment. During acute MS attacks, she received intravenous corticosteroids. Despite being on disease-modifying therapies (DMTs), she experienced more relapses in the last year, and her Expanded Disability Status Scale (EDSS) was 3. During the current hospitalization, the patient underwent brain and cervical spinal MRI, which revealed the appearance of new periventricular white active plaques in addition to previous black old lesions.Considering the progression of her disease condition, she was started on treatment with Alemtuzumab at a dose of 12mg/day IV. There were no drug reactions, and after completing the treatment, her muscle spasms and stiffness resolved, and the patient was discharged from the hospital.The day after, the patient came to the hospital to receive the second dose of the drug. While receiving the treatment, her condition remained stable, and she did not experience any notable symptoms. However, one day after finishing the first dose, the patient started to experience a gradual appearance of petechiae on her upper and lower limbs, chest, shoulders, and back. Moreover, a few minutes later, she developed epistaxis. Her blood pressure and heart rate were 127/73 and 87, respectively. The patient denied any previous history of eczema, skin issues, or respiratory allergies.Dermatology was consulted to investigate the possible causes of petechiae, and ENT was consulted to manage and evaluate the epistaxis. Despite applying pressure to the nostrils and placing ice on the forehead, the epistaxis did not cease. Consequently, the patient underwent posterior nasal packing, which successfully halted the bleeding.

Background: Tricuspid regurgitation velocity (TRV), measured by echocardiography, is a surrogate marker for pulmonary hypertension. Limited pediatric studies have considered the association between TRV and surrogate markers of end-organ disease. Methods: Therefore, we conducted a cross-sectional study that evaluated the prevalence of elevated TRV ≥ 2.5 m/s and its associations with renal and cerebrovascular outcomes in children with SCD 1-21 years of age in two large sickle cell cohorts, the University of Alabama at Birmingham (UAB) sickle cell cohort, and the Sickle Cell Clinical and Research Intervention Program (SCCRIP) cohort at St. Jude Children’s Research hospital. We hypothesized that patients with sickle cell disease with elevated TRV would have higher odds of having either albuminuria or cerebrovascular disease. Results: We identified 166 children from the UAB cohort (mean age: 13.49 ± 4.47 years) and 325 children from the SCCRIP cohort (mean age: 13.41 ± 3.99 years) with echocardiography. The prevalence of an elevated TRV was 21% in both UAB and SCCRIP cohorts. Elevated TRV was significantly associated with cerebrovascular disease (OR 1.88 (95% CI: 1.12- 3.15)) and persistent albuminuria (OR: 1.81 (95% CI: 1.07– 3.06)) after adjusting for age, sex, treatment, and site. Conclusion: This cross-sectional, multicenter study identifies associations between surrogate markers of pulmonary hypertension with kidney disease and cerebrovascular disease. A prospective study should be performed to evaluate the longitudinal outcomes for patients with multiple surrogate markers of end-organ disease.

A non-linear life prediction model considering the loading history is proposed based on isodamage curve. The stress-controlled low-high block loading at high temperature, with variously previous cycles, was performed on a nickel-based superalloy. The damage evolvement of the prior loading was revealed using scanning electron microscopy under the low-high block loading, especially the failure mechanism of coaxing effect. In addition, load history correlation factor was introduced to describe the influence of prior-cycle. Based on the Ni-based superalloy, the life prediction model of two-step loading, including the low-high block (LH) and high-low block loading (HL), was proposed, agreeing well with the experimental results for different metals. Comparing with other life prediction models, the proposed model demonstrated the higher prediction accuracy and wider applicability.

Background: Previously, Cystic Fibrosis (CF) patients faced a limited life expectancy, but significant medical advances now highlight the need for successful transition programs from pediatric to adult care. Methods: The aim of this project was to implement the CF R.I.S.E. program, a structured transition program, in a CF center with limited resources at Marmara University. The program was adapted and translated into Turkish with the permission of the Cystic Fibrosis Foundation. A multidisciplinary team collaborated in the translation and adaptation process and educational materials were developed for patients and families. Results: Successful implementation of the CF RISE program was achieved within six months. A pilot study with randomly selected patients revealed positive feedback indicating the effectiveness and understandability of the program. The program facilitated strong collaboration between pediatric pulmonologists, CF nurses, dietitians and patient representatives. However, challenges were encountered due to the lack of a designated social worker, which affected patients’ access to expert guidance on social security and disability rights. Conclusions: The CF S.O.B.E. program was successfully adapted and implemented at the Marmara University CF Center in Turkey. The program is expected to have a positive impact on patients’ knowledge and self-care skills over a period of 1.5 years. It is aimed to make the program a routine practice in the center and to expand the collaboration with adult clinics. Further studies are needed to assess its long-term impact and applicability in different health settings. The ultimate goal is to disseminate the program’s resources and promote structured transition practices nationwide.

The present study proposes an exposure model for indoor PM2.5 levels during cooking activities in poorly ventilated Kazakh houses with high emission levels. It aims to identify influencing factors of PM2.5 concentration patterns during cooking and explain the mechanisms underlying the build-up and downtrend of PM2.5 concentrations. The methodology integrates PM2.5 sampling, monitoring, and modeling to predict household PM2.5 levels and estimate daily concentrations, employing USEPA’s IAQX v1.1 for simulating the one-zone concept for cooking-related PM2.5 concentrations in multiple households. During cooking, PM2.5 concentrations varied between 13 and 266 µg/m3. Kitchen size, air exchange, type of food, and cooking methods were key factors influencing the observed concentrations. The model demonstrated high accuracy (R>0.9). The contribution of cooking to household air pollutant (HAP) PM2.5 levels ranged from 9% to 94%. This impact was more pronounced in warmer months. In colder months, outdoor PM levels and household ventilation were the primary factors regulating indoor air concentrations. The present study is among the first attempts to assess exposure to HAP in Central Asia, providing foundational insights into the poorly understood indoor air quality of Kazakh houses. Future research should refine models to account for individual behaviors and house types, improving accuracy and representativeness.

This paper focuses on a renewable energy system connected to a dual-function power grid through a parallel active power filter for simultaneously injecting photovoltaic energy to the grid and improving the power quality in the presence of the non-linear load. The rejection of disturbances affecting the grid is offered by the improved direct power control (IDPC).This command includes an anti-windup fractional order proportional-integral differentiator (AW-FOPID) regulator, which replaces the traditional PID or PI controllers to maintain the DC bus voltage at its reference value with small undershoots and overshoots in the voltage, while maintaining a short response time. However, the suggested regulator has five parameters, making it difficult to adjust. Therefore, the Particle Swarm Optimization with the spreading factor (PSO-SF) technique is used to tune this AW-FOPID parameters by minimizing the objective function. On the other hand, an intelligent method based on fuzzy logic was used to track the maximum power point (MPPT)under any weather conditions. and to solve the problem of the rapidly changing irradiance. The proposed system control is evaluated in various states of power source: distorted, unbalanced and balanced by simulation using MATLAB/Simulink. The obtained simulations results demonstrate the performance of the studied control strategies.

Through testing the characteristics of temperature difference power supply model, a multi-stage temperature difference power supply array circuit model considering package thermal resistance and contact thermal resistance is presented. The model not only considers the influence of the impedance temperature and the actual temperature difference in the equivalent circuit; The influence of contact thermal resistance between adjacent ceramic contact surfaces in temperature difference modules on temperature difference power generation modeling is also considered. Furthermore, the traditional temperature difference power array circuit model is improved and the modeling accuracy is improved. The accuracy of the improved resistance modeling is demonstrated by comparing the Matlab/Simulink simulation with the experiment, and the feasibility and validity of the model are verified. The simulation results show that the error between the proposed model and the experiment is small, which can well reflect the characteristics of the temperature difference power generation module.

Cognitive processes play a role in decision making, which involves processing stimuli, memory of experiences and working memory. Cognitive processes involve the role of neurotransmitters that support physiological and executive processes. In decision making there is also a role for neurotransmitters such as dopamine, serotonin, noradrenaline and glutamate. This research was carried out using a molecular mechanism prediction approach using machine learning with protein-protein interactions from the GeneCards database followed by interactions using Cytoscape and enrichment analysis. The results of predictions of molecular mechanisms in decision making show that there are 21 genes encoding neurotransmitter, serotonin, intention process, prefrontal cortex, frontal asymmetry and decision making functions. Enrichment analysis and intersections between genes involved in the functions above show that HTR2A, SCL6A4 and COMT are genes that influence decision making. That biological process, cellular component and molecular function have three protein HTR2A, SLC6A4, COMT. The gene encoding the serotonin transporter (SLC6A4), the serotonin 2A receptor gene (HTR2A). The 5-HTT (SLC6A4) is mainly located in the pre-synaptic membrane of the raphe nuclei neurons, which innervate many areas of the brain involved in cognition, mood and behaviour and the relationship between decision-making and executive function is sensitive to genetic factors—particularly COMT provide support for the cross-task adaptation of executive functions to domain-general cognitive ability. The conclusion of the prediction results is that the serotonergic system within corticolimbic structures, HTT and HTR2A, with a few exceptions, is involved in various forms of decision making.