Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of Adaptive Intelligent MPPT Algorithm for a Low-cost IoT Enabled Standalone PV System

ABSTRACT This paper explicates a standalone solar photovoltaic system design to track maximum power by utilising intelligent adaptive control algorithms. Conventional MPPT algorithms are not efficient enough to follow the maximum power variable irradiation and temperature conditions. Therefore, an intelligent algorithm has been required to extract the maximum power in a standalone PV system. The present paper incorporates adaptive intelligent maximum power point tracking (MPPT) method adaptive neuro-fuzzy inference system (ANFIS) techniques to extract maximum voltage and power. The fuzzy logic controller (FLC) has been implemented to analyse the performance compared to the ANFIS method. Because of the utilisation of conventional techniques, the point of maximum power gets oscillated in a low irradiance level and the values move between forward and backwards but do not have a fixed value. The used ANFIS method takes all the possibility values from 0 to 1, increasing efficiency. The efficiency of the ANFIS-based MPPT method is 90% more accurate than those of other conventional methods, which has been presented in the paper. For the remote monitoring of the obtained voltage, current and power, internet of things (IoT) features have been incorporated into the considered standalone PV system. The presented standalone PV system has been experimentally verified and validated for the efficiency evaluation of the proposed ANFIS algorithm.
Ligand-based discovery of new potential acetylcholinesterase inhibitors for Alzheimer’s disease treatment

ABSTRACT The enzyme acetylcholinesterase (AChE) is currently a therapeutic target for the treatment of neurodegenerative diseases. These diseases have highly variable causes but irreversible evolutions. Although the treatments are palliative, they help relieve symptoms and allow a better quality of life, so the search for new therapeutic alternatives is the focus of many scientists worldwide. In this study, a QSAR-SVM classification model was developed by using the MATLAB numerical computation system and the molecular descriptors implemented in the Dragon software. The obtained parameters are adequate with accuracy of 88.63% for training set, 81.13% for cross-validation experiment and 81.15% for prediction set. In addition, its application domain was determined to guarantee the reliability of the predictions. Finally, the model was used to predict AChE inhibition by a group of quinazolinones and benzothiadiazine 1,1-dioxides obtained by chemical synthesis, resulting in 14 drug candidates with in silico activity comparable to acetylcholine.
Enterprise Financial Influencing Factors and Early Warning Based on Decision Tree Model

The development of a financial analysis system is essential for modern businesses to improve their management systems. In light of the global financial crisis, it is even more critical for businesses to develop a rigorous financial analysis system to avoid risks. DM does not necessitate the development of a complex mathematical theory; as long as data are filtered, hidden features between data can be found. The decision tree algorithm is one of several DM methods. With the rapid advancement of DM technology, theories and applications related to it are maturing at a rapid pace. This study will develop a decision tree-based enterprise financial risk analysis and early warning model, analyze enterprise financial influencing factors, apply the decision tree method to enterprise financial risk analysis and early warning, and provide a reference for enterprise financial risk early warning and risk control decision-making.
Weak fault feature extraction of rolling element bearings based on ensemble tunable Q-factor wavelet transform and non-dominated negentropy

Tunable Q-factor wavelet transform (TQWT) has been proven to be usable in the fault diagnosis of rolling element bearings; however, its performance is heavily dependent on the selection of the Q-factor for decomposition and the optimal subband for reconstruction. In this paper, a novel method based on ensemble TQWT and non-dominated negentropy is proposed for weak repetitive transient extraction. Firstly, the vibration signal is decomposed with couples of Q-factors and redundancies to match the fault-induced oscillatory behaviors. Then, negentropy is utilized to evaluate the square envelopes and square envelope spectra of all subband signals from impulsiveness and cyclostationarity, respectively. After that, Pareto filtering is performed to search for the non-dominated set, and the knee point in the Pareto front is drawn on a distance metric for decision-making of the optimal subband. Finally, single branch reconstruction of the optimal subband is conducted to identify the fault characteristics for diagnosis. The effectiveness of the proposed non-dominated negentropy in weak fault feature extraction of rolling element bearings is verified by both simulation and experimental case studies. Furthermore, comparative studies also demonstrate its superiority over three peer ensemble TQWT methods.
The reverse design of automotive interior parts Based on reverse engineering

Reverse engineering technology is introduced firstly.Through the point clouds pre-processing and the unit of Digitized Shape Editor and Freestyle in CATIA,the curves’s reverse designation of the automotive interior parts is discussed. At the some time,the sub-network of surface is inquiried. Some technique and method is approached in the delineation of the point clouds,point cloud filtering,surface modeling processing,etc. Then the conclusion is dusccussed through the error analysis for the curved surface and point clouds.Finally,some examples show that the efficience of automotive interior parts development would be inhanceed sharply in the combination of forward and reverse design.
‘A fascinating time to be involved with research’ exploring the impact of COVID‐19 on postgraduate psycho‐oncology researchers

School of Social Sciences, Leeds Beckett University, Leeds, UK Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK Macmillan Survivorship Research Group, Health Sciences, University of Southampton, Southampton, UK Sussex Health Outcomes Research & Education in Cancer (SHORE‐C), Brighton and Sussex Medical School, Brighton, UK Psychology Department, Leeds School of Social Sciences, Leeds Beckett University, Leeds, UK Patient Centred Outcome Research, Leeds Institute of Medical Research at St James’s, Leeds, UK Division of Health Services Research, Leeds Institute of Health Sciences, Leeds, UK Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK Department of Surgery and Cancer, Imperial College London, London, UK Department of Psychology, University of Cambridge, Cambridge, UK
The Pet Exposure Effect: Exploring the Differential Impact of Dogs Versus Cats on Consumer Mindsets

Despite the ubiquity of pets in consumers’ lives, scant research has examined how exposure to them (e.g., recalling past interactions with dogs and cats, viewing ads featuring a dog or a cat) influences consumer behavior. The authors demonstrate that exposure to dogs (cats) reminds consumers of the stereotypical temperaments and behaviors of the pet species, which activates a promotion- (prevention-) focused motivational mindset among consumers. Using secondary data, Study 1 shows that people in states with a higher percentage of dog (cat) owners Google more promotion- (prevention-) focused words and report a higher COVID-19 transmission rate. Using multiple products, Studies 2 and 3 demonstrate that these regulatory mindsets, when activated by pet exposure, carry over to influence downstream consumer judgments, purchase intentions, and behaviors, even in pet-unrelated consumption contexts. Study 4 shows that pet stereotypicality moderates the proposed effect such that the relationship between pet exposure and regulatory orientations persists to the extent consumers are reminded of the stereotypical temperaments and behaviors of the pet species. Studies 5–7 examine the role of regulatory fit and evince that exposure to dogs (cats) leads to more favorable responses toward advertising messages featuring promotion- (prevention-) focused appeals.
Cellulose Isolation from Tomato Pomace Pretreated by High-Pressure Homogenization

This work proposes a biorefinery approach for the utilization of agri-food residues, such as tomato pomace (TP), through combining chemical hydrolysis with high-pressure homogenization (HPH), aiming to achieve the isolation of cellulose with tailored morphological properties from underused lignocellulose feedstocks, along with the valorization of the value-added compounds contained in the biomass. Cellulose was isolated from TP using sequential chemical hydrolysis in combination with mechanical pretreatment through HPH. The chemical and structural features of cellulose isolated from TP pretreated by HPH were compared with cellulose isolated from untreated TP through light scattering for particle size distribution, optical and scanning electron microscopy, and Fourier-transform infrared spectroscopy (FT-IR) analysis. HPH pretreatment (80 MPa, 10 passes) not only promoted a slight increase in the yield of cellulose extraction (+9%) but contributed to directly obtaining defibrillated cellulose particles, characterized by smaller irregular domains containing elongated needle-like fibers. Moreover, the selected mild chemical process produced side streams rich in bioactive molecules, evaluated in terms of total phenols and reducing activity. The liquors recovered from acid hydrolysis of TP exhibited a higher biological activity than those obtained through a conventional extraction (80% v/v acetone, 25 °C, 24 h at 180 rpm).
Perceptually-based auralization

With increasingly complex environments, the cost of auralization can quickly become a significant bottleneck for interactive applications, such as video games or simulators. While limitations of the human auditory perception have been successfully leveraged for lossy audio compression, real-time auralization pipelines still implement brute-force processing, independent of the content to process and perceptive capabilites of a human listener. Several recent studies have shown that listeners are unlikely to perceive a complex auditory environment in its entirety. In this paper, we review a number of recent approaches which can be used to organize and simplify virtual auditory scenes, leveraging both the nature of the contents and limitations of human perception. Such approaches are independent of the spatial reproduction techniques and lead to scalable processing performance with minimal degradation in the perceived spatial and tonal quality. They can be applied to a variety of applications and allow for rendering highly complex environments at interactive speed.
A Mixed Numerical-Experimental Analysis for the Development of a Partially Stratified Compressed Natural Gas Engine

In modern DI Diesel engines with high pressure injection systems, the impingement of the spray on the piston head frequently occurs. Being the mixture preparation a crucial aspect for the correct operation of the engine, as it greatly influences and alters the combustion process, numerical modeling of the spraywall interaction becomes essential. Three different spray-wall interaction models have been tested and integrated into a modified version of the KIVA-3V. All the models conserve mass, momentum and energy of the impinging droplet and have a different behaviour if the surface is wet or dry. The paper focuses on the main features of the single models, investigating the different criteria used to define the splash occurrence, the ratio of the splashed mass to the incident mass and the splashed droplet size. Comparisons with experimental data are presented. The effects of the initial injection velocity and the spray cone angle are also investigated.
Stress and Strain Modeling of Low Temperature Cofired Ceramic (LTCC) Seal Frame and Lid

Low temperature cofired ceramic (LTCC) is established as an excellent packaging technology for high reliability, high density microelectronics. LTCC multichip modules (MCMs) comprising both ‘surface mount’ and ‘chip and wire’ technologies provide additional customization for performance. Long term robustness of the packages is impacted by the selection of seal frame and lid materials used to enclose the components inside distinct rooms in LTCC MCMs. An LTCC seal frame and lid combination has been developed that is capable of meeting the sealing and electromagnetic shielding requirements of MCMs. This work analyzes the stress and strain performance of various seal frame and lid materials, sealing materials, and configurations. The application for the MCM will impact selection of the seal frame, lid, and sealing materials based on this analysis.
Study on Establishing 3D Parameterized Similar-cutters Database Based on Pro/E

Study on utilizing the technology of parameter design to establish similar-cutters database in which a series of cutter parts and subassemblies model can be got by controlling several key parameters in Family Table,based on the template for benchmark cutter as the general model of cutter design.In the similar-cutters database, even if the characteristics parameters’ value is discrete normal size,they also can be driven by relational expressions to adapt automatically to design requirements that major characteristics parameter’s vale is no grading.Finally,a typical cutter assembly example be presented.
RAISING EXPERIMENTAL INFECTION OF PARAMPHISTOMOSIS IN SHEEP UNDER LABORATORY CONDITION

Snails, the intermediate host are the transmitter of trematode infection in ruminants in the endemic areas of Punjab. Under DST-SERC-FAST-Track project(DST, GOI, New Delhi), the survey was conducted mainly in ponds, bank of the River Satluj and Beas its surrounding temporary water bodies, ditches, impoundments, near by tube well sand paddy fields in Ludhiana, Hoshiarpur Kapurthala and Amritsar district of Punjab. A total of 701 snails were collected, and seven species were identified as Indoplanorbis exustus, Gyraulus convexiusculus, Lymnaealuteola, L. auricularia, Bellamya (Vivipara) bengalensis, Corbicula striatella, and Thiara tuberculata. Out of the total collected snails, 365, 4, 165, 127, 16 and 24 were contributed by I. exustus, G. convexiusculus, Lymnaeasp. , B. bengalensis, C. striatella and T. tuberculata respectively. Snails like I. exustus, G. convexiusculus and Lymnaeasp were found to be most prominent in ditches, impoundments, nearby tube wells and paddy fields which play a very important role in the transmission of most pathogenic diseases like paramphistomosis and schistosomosis in ruminants respectively. The other snails were recorded to be common in bank of the River Satluj and its surrounding temporary water bodies. I. exustusan intermediate host of Paramphistomum spp. were kept in different batches individually in glass tubes as per Leiper's glass tube technique. Snails in bulk were also kept in beaker, surgical tray, earthenpots and petridishes with coloured poly then estrips to harvest metacercariae. Polythene strips of different colour, green, yellow and pink were used for the encystment of cercariae. These strips were stuck to the inner surface of the petridishes, beakers and surgical tray. Various encystment materials like water plants; lettuce and itsit (Trienthemagovinda) leaves were used. It was observed that maximum attraction of cercariae was towards itsit leaves followed by green and yellow polythene strips. Very few cercariae were also encysted onthe wall of the containers. 185 individuals of I. exustuswere found to be shedding cercariae with the prevalence rate of 55.89%. The cercariae were identified ascerearia of Paramphistomum epiclitum. The collected metacercariae were used for raising the infection in sheep. A total of 12,040 metacercariae was collected from185 infected snails (I. exustus) and kept in polyvinyl tubes (stored at 4°C). These metacercariae were given orally to two sheep for raising paramphistome infection under experimental condition. The animals were subjected with 4000 metacercariae to each sheep. The grass with encysted metacercariae was also collected from thefields for feeding to sheep. Faecal samples examined microscopically and found positive for paramphistome eggs after 135 days post infection. The experiments confirm the transmission of paramphistome infection in sheep. This disease is highly pathogenic and there is a need to formulate control and preventive measures for the betterment of livestock industry
Comparability Study of Two National EFL Tests (CET-6 and TEM-4) in China

The two Chinese nation-wide tests (CET-6 and TEM-4) have been in operation for more than a decade during which their status has risen. Nevertheless, there has been little research on the comparability of these two influential tests in China, though both are designed particularly for the second-year students at tertiary institutions. To bridge the gap, this study compares the two tests in terms of test takers, test scores and test content. The results show more overall similarities than differences with a Pearson correlation coefficient of . 714 (p < .01, nondirectional). Two types of subjects (English majors and non-English majors) in the study were quite similar to each other, with an obvious difference chiefly in instruction hours. The respective means of 67 and 69 appeared close, but this difference was found to be statistically significant. As for test content, differences were observed at a deeper level than at a surface level. The results are discussed in terms how meaningful the relationship is and what they may mean to researchers and test users in developing, using or taking such EFL tests in China. For about 15 years the Chinese English Test (CET) and the Test for English Majors (TEM) have been in operation nation-wide, and their scores have been increasingly used as measures of proficiency in English as a foreign language (EFL) throughout China. The number of test candidates has increased every year; about 4,500,000 took the CET and about 100,000 the TEM in 2002. The large numbers of test takers along with the extensive use
Overview of Thermal Error Compensation Modeling for Numerical Control Machine

Thermal error compensation modeling technique is crucial in deciding the effectiveness of thermal error compensation and important for improving machining accuracy of numerical control machine.Native and foreign research situation of CNC machine's thermal error modeling were introduced.Several main thermal error modeling methods commonly used in home and abroad were expatiated,such as artificial intelligence,statistical analysis and grey system theory and etc.The characters of the three methods were discussed.Problems existing in present research work were pointed out and a future development was viewed.
The Meaning of Patience in Islamic Psychological Perspective: a Life Effort for Physical Disabilites

This study aims to find out how people with physical disabilities understand the meaning of patience in an effort to live life. Using qualitative research with a phenomenological research design. Sampling using purposive sampling technique, namely 6 subjects consisting of men and women with physical disabilities. Methods of data collection using interviews, observation and documentation. While the data analysis method uses an interactive model which consists of three stages, namely data condensation, data display and conclusions: drawing. The results of this study conclude that the meaning of patience for people with physical disabilities is trying to stay calm, not complaining and not doing bad things and not doing things that are forbidden by Allah SWT by surviving and struggling, limiting themselves, Refrain from people's ridicule and always be optimistic about life. The factors that affect patience in people with physical disabilities are religiosity and social support.
Environmental Problems: An Analysis of Students’ Perceptions Towards Selective Waste Collection

The reduction, reuse, collection and recovery of recyclable materials are sustainable behaviors and people’s awareness of them plays an important role in implementing strategies and policies in this field. The quantitative analysis performed on a group of 816 students of Politehnica University of Timisoara, aimed at finding answers to important environmental concerns and observing the students’ behaviors of reuse and selective collection of the waste resulted from plastic containers, paper, aluminum, batteries, iron packaging waste, electronic equipment, used cooking oil and printer toner. The research has shown that ‘increased amounts of waste’ (63.5%) is among the first three concerns Romania has to deal with, besides ‘air pollution’ (67.9%) and ‘deforestation’ (63.7%). Moreover, the study highlights the existence of the behavior toward the selective waste collection among students (plastic – 60.3%, paper – 57.8%, and glass – 55.3%). although there are some areas (e.g., selectively collecting used cooking oil or printer toner, their level of knowledge regarding the color code for the recycling bins, etc.) that students still need to be familiarized with through different campaigns, trainings, courses, etc. The results can be used in the development of institutional strategies or of strategic documents targeting environmental protection and sustainable development.
Audio Diaries: A Novel Method for Water, Sanitation, and Hygiene-Related Maternal Stress Research

Previous studies have identified both physical and psychosocial forms of stress among newly married women due to inadequate water, sanitation, and hygiene (WASH) access. However, methodologies used to identify stress have relied on surveys and interviews, which have limitations for eliciting situated information regarding stress. Prior public health studies indicate that, together with other qualitative methods, audio diaries provide rich data sets of participants’ everyday practices, and their interactions with their physical and social environment. In this research, our interdisciplinary team collaborated to explore the feasibility of making audio diary recordings from prompts in a rural, Indian context where many women are illiterate. Three pregnant women living in rural Karnataka (India) were trained on the prompts and audio recorders, and were asked to make audio entries over two weeks. Midterm and exit interviews were used to ascertain women’s thoughts and experiences making audio diary entries. Each woman successfully recorded, on average, 27 minutes per week, demonstrating the feasibility of audio diaries in rural India. While the recruitment and training process was labor intensive and required follow-up visits, trust-building between participants and researchers over time facilitated discussions about the contextual and experiential details of making recordings that will improve data collection through this method. We concluded that when used with other qualitative methods, audio diaries offer a unique opportunity to collect participants’ practices, feelings, reflections, and interactions with their physical and social environment in real time.