Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimizing Photovoltaic Power Production in Partial Shading Conditions Using Dandelion Optimizer (DO)-Based MPPT Method

This research proposes the dandelion optimizer (DO), a bioinspired stochastic optimization technique, as a solution for achieving maximum power point tracking (MPPT) in photovoltaic (PV) arrays under partial shading (PS) conditions. In such scenarios, the overall power output of the PV array is adversely affected, with shaded cells generating less power and consuming power themselves, resulting in reduced efficiency and local hotspots. While bypass diodes can be employed to mitigate these effects by redirecting current around shaded cells, they may cause multiple peaks, making MPPT challenging. Therefore, metaheuristic algorithms are suggested to effectively optimize power output and handle multiple peaks. The DO algorithm draws inspiration from the long-distance movement of a dandelion seed, which relies on the force of the wind. By utilizing this bioinspired approach, the DO algorithm can successfully capture the maximum power point (MPP) under different partial shading scenarios, where traditional MPPT algorithms often struggle. An essential contribution of this research lies in the examination of the performance of the proposed algorithm through simulation and real-time hardware-in-the-loop (HIL) results. Comparing the DO algorithm with the state-of-the-art algorithms, including particle swarm optimization (PSO) and cuckoo search (CS), the DO algorithm outperforms them in terms of power tracking efficiency, tracking duration, and the maximum power tracked. Based on the real-time HIL results, the DO algorithm achieves the highest average efficiency at 99.60%, surpassing CS at 96.46% and PSO at 94.74%. These findings demonstrate the effectiveness of the DO algorithm in enhancing the performance of MPPT in PV arrays, particularly in challenging partial shading conditions.
Elaboración de una plantilla de SPM para la normalización de imágenes de PET con 18F-DOPA

El analisis de las imagenes PET cerebrales mediante metodos parametricos voxel a voxel ha demostrado ventajas indiscutibles frente al analisis visual o semicuantitativo basado en regiones de interes (ROIs). Un paso clave en el pre-procesado de imagenes cerebrales para estudios a nivel de grupo es la normalizacion a espacio anatomico comun, el cual precisa de una plantilla o “template” especifica para el tipo de estudio y radiofarmaco empleado. En este trabajo hemos desarrollado un template en espacio MNI para estudios cerebrales con PET 18F-DOPA en humanos. Este template se encuentra disponible de forma gratuita para su aplicacion por la comunidad de neuroimagen en el analisis parametrico de las alteraciones de la via nigroestriada.
Molecular detection of Trypanosoma evansi in cattle from Quirino Province, Philippines.

Trypanosoma evansi is a protozoan parasite which ubiquitously infects livestock in the Philippines. The study depicts an initial report of livestock trypanosomes in cattle from the province of Quirino, Philippines using the polymerase chain reaction (PCR) method. Out of 246 fi eld blood samples from apparently healthy cattle collected from fi ve municipalities of Quirino Province, Philippines, 3/246 (1.22%) were established positive for T. evansi using PCR. The positive animals identifi ed were from the municipality of Saguday (3/42; 7.14% prevalence). These were composed of one female and two males species and belonged to variable age groups (1.1-2 yrs, 2.1-3 yrs and >3 yrs). In addition, the data on the physical examination of the sampled animals using the nine-point scale body condition scoring system showed that the top three body condition scores (BCS) were 3[Very thin, (107/246; 43.50%)], 4[Thin, (75/246; 30.50%)] and 2[Emaciated, (46/246; 18.70%)]. Furthermore, the data showed that majority of the animals in Diffun and Saguday were thin (BCS 4) while most of the animals in Cabarroguis and Maddela and Aglipay were classifi ed under BCS 3(Very thin) and BCS 2(Emaciated) respectively. Consequently, all the Trypanosoma evansi positive animals appeared thin (BCS= 4) and were from the municipality of Saguday. No parasites were observed after blood parasite examination (BPE). The study provides information on the fi rst report of T. evansi cases in cattle from Quirino Province located in Region 2 of the Philippines. Consequently the data also presents the fi rst molecular detection of T. evansi infection in cattle in the province of Quirino, Philippines.
Characterization of the Nitrogen Removal Potential of Two Newly Isolated Acinetobacter Strains under Low Temperature

Excess nitrogen and phosphorus in the water causes several ecological problems for nutrients. Biological nitrogen removal is an economical and efficient way to prevent excessive nitrogen in the environment. For most areas of China, temperatures are usually lower than 20 °C except during the summertime. It is necessary to discover microbes that can efficiently remove nitrogen at low temperatures. In this study, two Acinetobacter strains were isolated from a sample in a wastewater tank in Taizhou for their capabilities to remove NO3−–N and NO2−–N at 15 °C. Heterotrophic nitrification experiments showed that both strains could efficiently remove nitrogen from the culture medium. The maximum removal rates of NH4+–N were 3.15 mg/L·h and 4.74 mg/L·h for heterotrophic nitrification by the strains F and H, respectively. Strain H grew faster and removed both nitrite and nitrate more efficiently than strain F. Genome sequencing showed that strains F and H could be classified into Acinetobacter johnsonii and Acinetobacter bereziniae, respectively. NO2−–N (100 mg/L) was completely removed in 3 days by strain H. The maximum NO3−–N removal rate was 3.53 mg/L·h for strain F. When strain H was cultured in a broth with 200 mg/L NO3−–N, 97.46% of NH4+–N (200 mg/L) was removed in 5 days, and the maximum NH4+–N removal rate was 4.04 mg/L·h. Genomic sequence analysis showed that both the strains lacked genes involved in the denitrification pathway that transforms NO3− into N2. This implies that nitrate or nitrite is removed through the nitrogen assimilation pathway. Genes responsible for nitrate assimilation are clustered together with molybdopterin cofactor biosynthesis genes. Strain H contains fewer resistance genes and transfer elements. All the above data demonstrate that strain H is a promising candidate for nitrogen removal at lower temperatures. But there is still a lot to be done to systematically evaluate the potential of A. bereziniae strain H in treating wastewater at a pilot scale. These include the long-term performance, environmental tolerance, and nitrogen removal efficiency in wastewater. And the application of these Acinetobacter strains in diverse wastewater treatment settings might require careful optimization and real-time monitoring.
Robotic Skill Mutation in Robot-to-Robot Propagation During a Physically Collaborative Sawing Task

Skill propagation among robots without human involvement can be crucial in quickly spreading new physical skills to many robots. In this respect, it is a good alternative to pure reinforcement learning, which can be time-consuming, or learning from human demonstration, which requires human involvement. In the latter case, there may not be enough humans to quickly spread skills to many robots. However, propagation among robots without direct human supervision can result in robotic skills mutating from the original source. This can be beneficial when better skills might emerge or when a new skill is obtained to be used for other similar tasks. However, it can also be dangerous in terms of task execution safety. This letter studies the mutation of a robotic skill when it is propagated from one robot to another during a physically collaborative task. We chose the collaborative sawing task as a study case since it involves complex two-agent physical interaction/coordination and because its periodic nature can facilitate repetitive learning. The study employs periodic Dynamic Movement Primitives and Locally Weight Regression to encode and learn the motion and impedance required to execute the task. To explore what influences mutation, we varied several control and environment conditions such as the maximum stiffness, robot base position, friction coefficient of the sawed object, and movement period. The results showed that the skill varied over propagation steps and we identified several key aspects of mutation such as movement length, movement offset, and trajectory shape. Based on the results we identified possible benefits (skill mutations useful for different settings or different tasks, and energy efficiency) and dangers (high forces and skill mutations becoming useless for the original task) of the mutation.
Easily Applicable Predictive Score for Differential Diagnosis of Prefibrotic Primary Myelofibrosis from Essential Thrombocythemia

Simple Summary Essential thrombocythemia and primary myelofibrosis are Philadelphia-chromosome negative myeloproliferative neoplasms with a similar initial phenotypic presentation with thrombocytosis but totally different prognoses and treatment approaches. Patients with primary myelofibrosis compared to essential thrombocythemia had significantly shorter survival as well as higher rates of progression to overt myelofibrosis and leukemic transformation. Around 20% of patients with an early prefibrotic phase of primary myelofibrosis have poor outcomes with a median overall survival of less than 3 years. The aim of our study was to determine significant clinical and laboratory parameters at presentation to differentiate these two entities, according to which we have developed and validated a predictive diagnostic prePMF score. Based on this score, patients with ≥2 points are suspected to have primary myelofibrosis, and hematological work-up should be performed as soon as possible because there is a chance that some of these patients may have rapid disease progression and a shortened life expectancy. Abstract Essential thrombocythemia (ET) and prefibrotic primary myelofibrosis (prePMF) initially have a similar phenotypic presentation with thrombocytosis. The aim of our study was to determine significant clinical-laboratory parameters at presentation to differentiate prePMF from ET as well as to develop and validate a predictive diagnostic prePMF model. This retrospective study included 464 patients divided into ET (289 pts) and prePMF (175 pts) groups. The model was built using data from a development cohort (229 pts; 143 ET, 86 prePMF), which was then tested in an internal validation cohort (235 pts; 146 ET, 89 prePMF). The most important prePMF predictors in the multivariate logistic model were age ≥ 60 years (RR = 2.2), splenomegaly (RR = 13.2), and increased lactat-dehidrogenase (RR = 2.8). Risk scores were assigned according to derived relative risk (RR) for age ≥ 60 years (1 point), splenomegaly (2 points), and increased lactat-dehidrogenase (1 point). Positive predictive value (PPV) for pre-PMF diagnosis with a score of ≥points was 69.8%, while for a score of ≥3 it was 88.2%. Diagnostic performance had similar values in the validation cohort. In MPN patients with thrombocytosis at presentation, the application of the new model enables differentiation of pre-PMF from ET, which is clinically relevant considering that these diseases have different prognoses and treatments.
Algorithmic management on digital labour platforms: A systematic literature review

This study aims to understand algorithmic management in digital work platforms. To this end, a systematic literature review was conducted in the main databases of the Administration field. Initially, 912 studies were surveyed that went through inclusion and exclusion criteria, resulting in a corpus of 39 articles. The results produced demonstrated the existing research perspectives, definitions and conceptualizations, their similarities and discrepancies, assisting the development of future research and leading researchers in the area. The contribution of this study consists in making the conceptualization process of algorithmic management more understandable and systematic, guiding towards a uniform direction instead of scattered perspectives.
Association of retinopathy with risk of all-cause and specific-cause mortality in the National Health and Nutrition Examination Survey, 2005 to 2008

Objective This study aimed to elucidate the relationship between retinopathy status or severity and the all-cause and specific-cause mortality risk based on the updated National Health and Nutrition Examination Survey (NHANES) database and 2019 Public Access Link mortality file. Methods In this prospective cohort study, a total of 6,797 participants aged over 40 years based on NHANES 2005–2008 were analyzed. The severity of retinopathy was classified into 4 grades-no retinopathy, mild non-proliferative retinopathy (NPR), moderate to severe NPR, and proliferative retinopathy (PR). Multiple covariate-adjusted Cox proportional hazards regression models and Fine and Gray competing risk regression models were used to assess the all-cause and cause-specific mortality risks, respectively. The propensity score matching (PSM) approach was also applied additionally to adequately balance between-group covariates to validate our findings. Results A final total of 4,808 participants representing 18,282,772 United States (US) non-hospitalized participants were included for analysis, 50.27% were male (n = 2,417), 55.32% were non-hispanic white (n = 2,660), and mean [SE] age, 56.10 [0.40] years. After a median follow-up of 12.24 years (interquartile range, 11.16–13.49 years), 1,164 participants died of all-cause mortality, of which 941 (80.84%) died without retinopathy and 223 (19.16%) died with retinopathy at baseline. The presence of retinopathy was associated with increased all-cause mortality, cardiovascular disease (CVD), and diabetes mellitus (DM)-specific mortality, and the results remain consistent after PSM. Severity analysis showed that only mild NPR was associated with an increased all-cause mortality risk (hazard ratio (HR) = 2.01; 95% confidence interval (CI), 1.00–4.03), while increased CVD and DM-specific mortality risk were associated with all grades of retinopathy and were exponentially greater with increasing retinopathy severity, and the trend test was also significant (P for trend 0.004 and 0.04, respectively). Discussion Our findings suggest that the diagnosis of retinopathy is an independent risk factor for all-cause mortality in people over 40 years old. Retinopathy grading is significantly associated with the survival risk of patients with CVD or DM, it can be a valuable predictor in the stratified management and risk warning of CVD or DM patients, as well as in the monitoring of systemic vasculopathy status.
Prototipe Pendeteksi dan Pengenalan Wajah Berbasis Web Menggunakan Algoritma Local Binary Pattern Histogram untuk Absensi

Abstrak-Prototipe Pendeteksi dan Pengenalan Wajah untuk Absensi adalah prototipe yang digunakan untuk melakukan absensi dengan menggunakan wajah sebagai objek. Sistem absensi yang biasanya menggunakan sidik jari sebagai objek menjadi kurang efektif mengingat adanya pandemi Covid-19 di Indonesia. Alat absensi yang sudah terkontaminasi oleh jari akan menjadi wadah penyebaran Covid-19. Perancangan sistem absensi ini bertujuan untuk pemutusan rantai penyebaran COVID-19 dengan melakukan absensi tanpa terkontaminasi langsung dengan alat absensi. Pada penelitian ini dilakukan Analisa pendeteksi dan pengenalan wajah dengan pendekatan fitur algoritma Local Binary Pattern Histogram (LBPH) untuk absensi berbasis web, dimana pengembangan perangkat lunak menggunakan metode prototipe. LBPH adalah sebuah kombinasi algoritma antara Local Binary Pattern (LBP) dengan Histogram of Oriented Gradients (HOG). LBP merupakan metode yang terkenal dalam mengenali sebuah objek dengan cara membedakan objek dengan background. Citra wajah yang diambil secara realtime menggunakan webcam akan dibandingkan dan dicocokan menggunakan histogram yang sudah diekstraksi dengan citra wajah yang sudah ada pada database. Hasil proses pengenalan wajah pada sistem ini sangat bergantung pada pencahayaan, sudut pandang wajah dan pemakaian aksesoris pada wajah. Sistem absensi wajah mampu mendeteksi adanya wajah dengan baik sampai akurasi 100% dan mengenali wajah yang telah terdeteksi sampai akurasi 60%.
Exploring the mechanism of Suanzaoren decoction in treatment of insomnia based on network pharmacology and molecular docking

Objective: To explore the functional mechanisms of Suanzaoren decoction (SZRD) for treating insomnia using network pharmacology and molecular docking. Methods: The active ingredients and corresponding targets of SZRD were obtained from the Traditional Chinese Medicine Systems Pharmacology database, and then, the names of the target proteins were standardized using the UniProt database. The insomnia-related targets were obtained from the GeneCards, DisGeNET, and DrugBank databases. Next, a Venn diagram comprising the drug and disease targets was created, and the intersecting targets were used to draw the active ingredient-target network diagram using Cytoscape software. Next, the STRING database was used to build a protein-protein interaction network, followed by cluster analysis using the MCODE plug-in. The Database for Annotation, Visualization, Integrated Discovery (i.e., DAVID), and the Metascape database were used for Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. AutoDock Vina and Pymol software were used for molecular docking. Results: SZRD contained 138 active ingredients, corresponding to 239 targets. We also identified 2,062 insomnia-related targets, among which, 95 drug and disease targets intersected. The GO analysis identified 490, 62, and 114 genes related to biological processes, cellular components, and molecular functions, respectively. Lipid and atherosclerosis, chemical carcinogen-receptor activation, and neuroactive ligand-receptor interaction were the most common pathways in the KEGG analysis. Molecular docking demonstrated that the primary active components of SZRD for insomnia had good binding capabilities with the core proteins in PPI network. Conclusion: Insomnia treatment with SZRD involves multiple targets and signaling pathways, which may improve insomnia by reducing inflammation, regulating neurotransmitters.
Combining Ability Studies on Yield and Yield Related Traits in Tomato (Solanum lycopersicum L.)

Aim: The present study was conducted to generate information regarding the general combining ability (GCA), specific combining ability (SCA), genetic parameters and GCA and SCA variances in tomato. Study Design: The parents and F1s were laid out in Randomized block design with 3 replications. Place and Duration of Study: The present study was conducted at research farm of Banaras Hindu University, Varanasi. Crosses were generated in Line x Tester design and resultant F1, F2 and parents were evaluated. Methodology: After genetic diversity evaluation, ten genotypes were selected and used as females which were crossed with three other selected genotypes used as males in Line × Tester mating design followed by evaluation of their F1 hybrids along with parents. Results: The study concluded that Pant T-3 was a good general combiner for plant height, days to 50% flowering and days to first fruit set, Kashi Amrit was a good general combiner for number of primay branches/plant, CO-3 was a good general combiner for number of flower clusters/plant, number of flowers/cluster and number of fruits/plant, H-86 was a good general combiner for number of fruits/cluster, Fla 7171 was a good general combiner for fruit length, fruit width and fruit weight. Based on sca effects best specific combiner for plant height and fruit yield was Punjab Upma × Azad T-5. The ratio of σ2gca/σ2sca is less than unity for all characters except fruit shape index which also indicated the preponderance of non additive genetic variance. High heritability (>60%) combined with high genetic advance (>20%) was observed for fruit yield, number of primary branches/plant, plant height, number of flower clusters/plant, number of flowers/cluster, fruit weight, number of fruits/cluster, number of fruits/plant. These traits can be improved by simple selection in tomato breeding programme. Conclusion: From the study it was concluded that best general combiners for various yield and yield related traits were Pant T-3, Kashi Amrit, CO-3, H-86 and Fla 7171. Based on sca best specific combiner for plant height and fruit yield was Punjab Upma × Azad T-5.
Characterization of begomoviruses associated with emerging mosaic disease of ivy gourd (Coccinia grandis L.) in Tamil Nadu, India

A systematic field survey was conducted in ivy gourd fields of Tamil Nadu during the year 2019-2021. The infected plants manifesting prominent chlorosis, mosaic, puckering, and yellow mosaic symptoms on leaves were tested through polymerase chain reaction (PCR) assay for the infection of begomoviruses. Amplicons of PCR from 5 samples were sequenced. 4 samples were infected with tomato leaf curl New Delhi virus (ToLCNDV) and one with Coccinia mosaic Tamil Nadu virus (CoMoTNV). The nucleotide sequences from isolates IGT-1 (OR041745) and IGP-1 (OR041746) have an identity of 96-98% with ToLCNDV isolate infecting chrysanthemum (MG758145) from Karnataka. Another isolate IGD-1 (OR041747) had 99.3% identity with tomato infecting ToLCNDV isolate (MW538662) from Raipur and isolate IGE-1 (OR041748) had 98.4% highest identity with the previously reported ToLCNDV isolates of India infecting bitter gourd. The IGS-1 (OR028863) isolate 98.9% identity at the nucleotide level with previously reported CoMoTNV (KY860899) infecting ivy gourd from Tamil Nadu. Phylogenetic analysis revealed that ToLCNDV isolates infecting ivy gourd were grouped under three different clusters reported previously reported from different parts of the globe. The present investigation reports the emergence of begomoviruses (ToLCNDV and CoMoTNV) on ivy gourd growing in different parts of Tamil Nadu.
Analysis of bovine beta-casein A1 and A2 allele frequency in Holstein-Friesian cows by Real-time PCR with fluorescent hybridization probes

A2 milk popularity is increasing across the world and novel molecular techniques have been evaluated to develop reliable methods. This study aimed to genotype Holstein-Friesian cows concerning their A1/A2 status using Real-time PCR assay with the specifically designed FRET hybridization probes. In this context, DNA samples were obtained from 310 Holstein-Friesian milk samples. Concerning the Real-time PCR assay, the melting temperature of each amplicon was analyzed and the melting data was converted to a derivative plot using the LightCycler 480 System. The sensor probe was designed to match the wild-type sequence in the target DNA. In the Real-time PCR assay, the melting peaks obtained in the Real-time PCR assay were highly decisive and consistent for each genotype regarding CCT→CAT alteration. The results indicated a remarkably high frequency of the A2 allele (68%) and a considerable frequency of heterozygous animals (0.41). Population genetic analysis showed intermediate levels of genetic variability and biodiversity. The A2-herd conversion process is a complex process consisting of genetic testing of both cows and calves, evaluating replacement rates, and the conversion of heterozygotes by using A2-genotyped bull semen. In this sense, the key point is a reliable and rapid genotyping method to produce A1-free milk. This study suggests that Real-time PCR assay with the specifically designed FRET hybridization probes is a preferable method for A2 genotyping, and may be useful for further studies and instructive for companies or breeders who aim to produce A2 milk.