Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of low-energy slow extraction efficiency of XiPAF

Xi’an Proton Application Facility (XiPAF) synchrotron provides 10∼200MeV proton beam for the experimental simulation of the space radiation environment. Due to the space charge effect, the slow extraction of 10 MeV proton beam is a work full of challenges. In a past experiment, the total extraction efficiency was over 65% with 4.5 ∽ 6.5×1010 protons stored before extraction but decreased to 52% with 9×1010 protons stored. In order to study the beam loss caused by a strong space charge effect, based on experimental parameters, the beam loss fractions at different positions of XiPAF synchrotron are obtained through the simulation. According to the beam loss analysis, optimized parameters are found for reference in subsequent experiments. It is also noted that negative beam average momentum spread before extraction is beneficial to the improvement of extraction efficiency.
The association between closed-eye unipedal standing and the risk of cognitive impairment in the elderly: a 7-year community-based cohort study in Wuhan, China

Objectives The prevention of cognitive impairment in the elderly is one of the public health priority areas. However, the relationship between closed-eye unipedal standing and cognitive impairment remains unclear. Methods This study was conducted on a group of elderly individuals from a community, using a prospective cohort study design. Participants were monitored for 7 years and were diagnosed with new-onset cognitive impairment. Logistic regression models and restricted cubic spline (RCS) were used to investigate the relationship between closed-eye unipedal standing and cognitive impairment. Stratified analysis by baseline characteristics were also performed. Results At baseline, 1,652 people aged 65 years or older were enrolled. Ultimately, 880 participants completed the follow-up and 155 (17.61%) of them satisfied the diagnostic criteria for cognitive impairment at follow-up. Compared to the closed-eye unipedal standing low group as the reference, the middle (OR = 0.601, 95% CI: 0.396–0.911) and high (OR = 0.508, 95% CI: 0.329–0.785) groups had significantly lower cognitive impairment risks. RCS analysis indicated a linear relationship (Pnon − linear = 0.177), with a reduced risk of developing cognitive impairment when the duration of closed-eye unipedal standing was exceeded ~2.920 s. Stratified analysis showed that for female, aged 70 years or younger, with 3 or more years of education, without lack of exercise and without falls within 1 year subgroup, the elderly in the high group of closed-eye unipedal standing had significantly reduced cognitive impairment risks. Conclusion Among the elderly population, closed-eye unipedal standing duration was linearly and negatively associated with the cognitive impairment risk. The closed-eye unipedal standing duration might be a predictive index for cognitive impairment in the elderly.
Morphophysiological studies for salinity tolerance in oat (Avena sativa L.)

a. Title of thesis : Morphophysiological studies for salinity tolerance in oat (Avena sativa L.) b. Holder Full name of degree : POOJA RANI 2008BS114M c. Title of degree : Master in Science d. Name and address of Major Advisor : Dr. A.S. Nandwal Additional Director Research Directorate of Research CCS Haryana Agricultural University Hisar – 125004, India. e. Degree awarding University/Institute : Chaudhary Charan Singh Haryana Agricultural University Hisar, India f. Year of award of degree : 2013 g. Major subject : Plant Physiology h. Total number of pages in dissertation : 60 + ix i. Number of words in the abstract : 524
A novel approach to evaluate dynamic performance for photovoltaic system using software platform

With the growing demand for renewable energy, solar photovoltaic (PV) systems have gained popularity as a reliable source of clean electricity. However, the performance of these systems can be limited by factors such as suboptimal maximum power point tracking (MPPT) algorithms. In order to improve the power generation efficiency of PV systems, it is important to evaluate the performance of dynamic MPPT algorithms that can adapt to varying operating conditions. Traditionally, such evaluations have been time consuming and expensive, often requiring extensive testing and measurement equipment. In this paper, we propose a novel approach to evaluate dynamic MPPT performance very quickly and simply using PSIM software. This approach enables accurate and efficient evaluation of MPPT performance under a wide range of operating conditions, while minimizing the cost and time involved in traditional testing methods. When applying the proposed method to a 3.7 kW inverter using the traditional perturbation and observation (P and O) method, we found that the highest average efficiency was 98.92% at an MPPT control period of 0.1s and a voltage perturbation of 1 V. This evaluation technique provides valuable insights into the design and optimization of more efficient MPPT control algorithms, leading to improved power generation efficiency and increased adoption of solar PV systems.
Development of Biclustering Techniques for Gene Expression Data Modeling and Mining

xi CHAPTER 1: Introduction . 1 1.1 Gene Expression Data . 1 1.2 Biclustering Techniques . 2 1.3 QUBIC . 8 1.4 Qserver . 10 CHAPTER 2: QUBIC2—A Novel Biclustering Algorithm for Large-scale RNA-Seq Data Analysis . 13 2.1 Overall Design of QUBIC2 . 13 2.2 Detailed Methods in QUBIC2 . 17 2.2.1 Left Truncated Mixed Gaussian (LTMG) Model and Qualitative Representation . 17 2.2.2 KL Score . 19 2.2.3 QUBIC2 Algorithm . 20 2.2. 4 Size-based P-value . 21 2.3 Functional Gene Modules Detection from RNA-Seq Data . 22 2.3. 1 Data Acquisition . 22
Research on Vegetable Product Pricing and Replenishment Decision Based on Linear Regression and ARIMA Model

With the rise of fresh food supermarkets, how to automatically price and restock vegetable products has become a major challenge for many businesses. To develop a restocking and pricing plan for vegetable products in supermarkets, we first calculate the cost profit margin, standardize the profit margin and total sales volume data, and then incorporate vegetable categories into a linear regression model using dummy variables, We found a significant negative correlation between profit margin and total sales volume, and obtained the product pricing strategy using the linear equation of profit margin. After conducting ADF testing, the number of autoregressive terms and the average number of sliding terms of the Time Series (ARIMA) model were determined based on the test set results, and the model was used to predict the total daily replenishment of each vegetable category in the next week. This study has reference value for vegetable restocking and pricing decisions.
Depression Detection on Twitter Text Based on Negative Emotion Score and Level of Depressed

This essay presents a method for detecting depression level detection based on the negative emotion score of social media text. The score is calculated by the NRC Word-Emotion Association Lexicon (EmoLex). The dataset will first be processed by the EmoLex model and then based on certain scores given by the model, three levels of depression will be generated for further classification. The advantage of this model is that the detected depression is classified into three levels, which can help people take different levels of response. The experiment is performed in Multi Labeled Depression Corpus of 60,000 English tweets. Three models are trained in this experiment: Random Forest and Logistic Regression. The result shows that Random Forest achieves 65.9% accuracy; Logistic Regression achieve 72.2% accuracy.
Morphology and Mechanics of Star Copolymer Ultrathin Films Probed by Atomic Force Microscopy in the Air and in Liquid

Star copolymer films were produced by using spin-coating, drop-casting, and casting deposition techniques, thus obtaining ultrathin and thick films, respectively. The morphology is generally flat, but it becomes substrate-dependent for ultrathin films where the planarization effect of films is not efficient. The indentation hardness of films was investigated by Force Volume Maps in both the air and liquid. In the air, ultrathin films are in the substrate-dominated zone and, thus, the elastic modulus E is overestimated, while E reaches its bulk value for drop-casted ultrathin and thick films. In liquid (water), E follows an exponential decay for all films with a minimum soaked time t0 of 0.37 and 2.65 h for ultrathin and drop-casted ultrathin and thick films, respectively. After this time, E saturates to a value on average 92% smaller than that measured in the air due to film swelling. Such results support the role of film morphology in the antimicrobial activity envisaged in the literature, suggesting also an additional role of film hardness.
Modeling Ocean Cooling Induced by Tropical Cyclone Wind Pump Using Explainable Machine Learning Framework

Tropical cyclones (TCs), with an intensive wind pump impact, induce sea surface temperature cooling (SSTC) on the upper ocean. SSTC is a pronounced indicator to reveal TC evolution and oceanic conditions. However, there are few effective methods for accurately approximating the amplitude of the spatial structure of TC-induced SSTC. This study proposes a novel explainable machine learning framework to model and interpret the amplitude of the spatial structure of SSTC over the northwest Pacific (NWP). In particular, 12 predictors related to TC characteristics and pre-storm ocean states are considered as inputs. A composite analysis technique is used to characterize the amplitude of the spatial structure of SSTC across the TC track. Extreme gradient boosting (XGBoost) is utilized to predict the amplitude of SSTC from the 12 predictors. To better interpret the ocean–atmosphere interaction, a SHapely Additive explanations (SHAP) method is further employed to identify the contributions of predictors in determining the amplitude of the TC-induced SSTC, bringing the attribute-oriented explainability to the proposed method. The results showed that the proposed method could accurately predict the amplitude of the spatial structure of SSTC for different TC intensity groups and outperforms a numerical model. The proposed method also serves as an effective tool for reconstructing composite maps of both interannual and seasonal evolutions of SSTC spatial structure. The study offers insight into applying machine learning to model and interpret the responses of oceanic conditions triggered by extreme weather conditions (e.g., TCs).
The Proteomic Analysis of Cancer-Related Alterations in the Human Unfoldome

Many proteins lack stable 3D structures. These intrinsically disordered proteins (IDPs) or hybrid proteins containing ordered domains with intrinsically disordered protein regions (IDPRs) often carry out regulatory functions related to molecular recognition and signal transduction. IDPs/IDPRs constitute a substantial portion of the human proteome and are termed “the unfoldome”. Herein, we probe the human breast cancer unfoldome and investigate relations between IDPs and key disease genes and pathways. We utilized bottom-up proteomics, MudPIT (Multidimensional Protein Identification Technology), to profile differentially expressed IDPs in human normal (MCF-10A) and breast cancer (BT-549) cell lines. Overall, we identified 2271 protein groups in the unfoldome of normal and cancer proteomes, with 148 IDPs found to be significantly differentially expressed in cancer cells. Further analysis produced annotations of 140 IDPs, which were then classified to GO (Gene Ontology) categories and pathways. In total, 65% (91 of 140) IDPs were related to various diseases, and 20% (28 of 140) mapped to cancer terms. A substantial portion of the differentially expressed IDPs contained disordered regions, confirmed by in silico characterization. Overall, our analyses suggest high levels of interactivity in the human cancer unfoldome and a prevalence of moderately and highly disordered proteins in the network.
Identification of the chaA and fwA Spore Color Genes of Aspergillus nidulans

Wild-type Aspergillus nidulans asexual spores (conidia) are green due to a pigment that protects the spores against ultraviolet light. The pigment is produced by a biosynthetic pathway, the genes of which are dispersed in the genome. The backbone molecule of the pigment is a polyketide synthesized by a polyketide synthase encoded by the wA gene. If wA is not functional, the conidia are white. The polyketide is modified by a laccase encoded by the yA gene and inactivation of yA in an otherwise wild-type background results in yellow spores. Additional spore color mutations have been isolated and mapped to a locus genetically, but the genes that correspond to these loci have not been determined. Spore color markers have been useful historically, and they remain valuable in the molecular genetics era. One can determine if a transforming fragment has been successfully integrated at the wA or yA locus by simply looking at the color of transformant conidia. The genes of the potentially useful color loci chaA (chartreuse conidia) and fwA (fawn conidia) have not been identified previously. We chose a set of candidate genes for each locus by comparing the assembled genome with the genetic map. By systematically deleting these candidate genes, we identified a cytochrome P450 gene (AN10028) corresponding to chaA. Deletions of this gene result in chartreuse conidia and chartreuse mutations can be complemented in trans by a functional copy of this gene. With fwA, we found that the existing fawn mutation, fwA1, is a deletion of 2241 base pairs that inactivates three genes. By deleting each of these genes, we determined that fwA is AN1088, an EthD domain protein. Deletion of AN1088 results in fawn conidia as expected. Neither deletion of chaA nor fwA restricts growth and both should be valuable target loci for transformations. Combinations of deletions have allowed us to investigate the epistasis relationships of wA, yA, chaA and fwA.
Morphological comparisons of North American sea bass larvae (Pisces: Serranidae)

Larvae of 17 of the 23 nominal genera of American serranid fishes are described. Representatives of only two of these genera have been described previously from American waters. The genera fall into four groups which closely follow subfamilial groupings based on adult characters. Larvae of the Serraninae, representing seven genera, appear to be the most generalized and are most similar to Morone-like percichthyid larvae. They have some larval specializations but exhibit rather direct development of adult morphology. The serranine genera can be ranked in order of increasing larval specialization as follows: Serraniculus, Paralabrax, Centropristis, Diplectrum, and Serranus. Hypoplectrus and one type of Diplectrum, although considered serranines on the basis of adult characters, are quite different from the other serranine larvae observed. One line of divergence from the serranines is the Anthiinae, with larvae of four genera being represented in the present collections. These larvae have variously developed strong spines on the head and in the opercular region, also the pelvic fin spine and some dorsal fin spines are strong and develop precociously. These spines are serrated in more specialized genera. Among the anthiine genera described there is a progression of larval specialization as follows: Plectranthias, Pronotogrammus, Anthias, and Hemanthias. A third general type of serranid larvae is represented by members of the three American genera of the Epinephelinae and Gonioplectrus. These larvae all are similar in general appearance and specialized in having elongate, strong serrate spines—primarily the second spine of the dorsal fin and the pelvic spine. The fourth larval type is comprised of three genera whose affinities have been unclear. Liopropoma is generally considered by others to be a serranid of the subfamily Liopropominae, Pseudogramma has been placed by others in the family Pseudogrammidae, or considered to be a member of a subfamily of the Grammistidae, the family in which Rypticus, the third genus, is placed. Because of the similarity of their larvae and evidence from adult characters, I consider these genera to be members of the serranid subfamily Grammistinae. Larvae of these genera share some larval characters with the serranines. Their most outstanding larval feature is the development of one or two greatly elongated flexible dorsal fin spines.
Analysis of the Development of Entertainment Industry: Evidence from Huayi Brothers

As one of the leading enterprises in the entertainment industry, Huayi Brothers' evaluation of its commercial value helps to understand the development potential and current situation of China's media and entertainment industry. This article mainly provides a review of the value evaluation of Huayi Brothers, a listed company. It introduces the value of Huayi Brothers itself and its investment value and combines existing valuation evaluations to analyze and introduce the development trend of China's media and entertainment industry in the post pandemic era. Finally, by studying market changes, comparing market and media sector performance, and conducting valuation analysis on the market value of this type of company, the development potential of the entertainment industry under the digital trend was explored, and the viewpoint that the media and entertainment industry still has development potential was further clarified. Overall, these results shed light on guiding further exploration of valuation for the whole entertainment industry.
Functionalization of the NiTi Shape Memory Alloy Surface through Innovative Hydroxyapatite/Ag-TiO2 Hybrid Coatings

The objective of this research was to develop a surface modification for the NiTi shape memory alloy, thereby enabling its long-term application in implant medicine. This was achieved through the creation of innovative multifunctional hybrid layers comprising a nanometric molecular system of silver-rutile (Ag-TiO2), known for its antibacterial properties, in conjunction with bioactive submicro- and nanosized hydroxyapatite (HAp). The multifunctional, continuous, crack-free coatings were produced using the electrophoretic deposition method (EPD) at 20 V/1 min. Structural and morphological analyses through Raman spectrometry and scanning electron microscopy (SEM) provided comprehensive insights into the obtained coating. The silver within the layer existed in the form of nanometric silver carbonates (Ag2CO3) and metallic nanosilver. Based on DTA/TG results, dilatometric measurements, and high-temperature microscopy, the heat treatment temperature for the deposited layers was set at 800 °C for 2 h. The procedures applied resulted in the creation of a new generation of materials with a distinct structure compared with the initial nanopowders. The resulting composite layer, measuring 2 μm in thickness, comprised hydroxyapatite (HAp), apatite carbonate (CHAp), metallic silver, silver oxides, Ag@C, and rutile exhibiting a defective structure. This structural characteristic contributes significantly to its heightened activity, influencing both bioactivity and biocompatibility properties.
Chemical composition, antioxidant properties, and antifungal activity of wild Origanum elongatum extracts against Phytophthora infestans

Introduction Phytophthora infestans, the causative agent of late blight disease, has gained notoriety for its destructive potential, leading to substantial losses in potato yields. Although conventional systemic fungicides have been shown to be effective in controlling plant pathogens, growing environmental concerns have prompted the need for more integrated disease management approaches. Hence, in this study, the effectiveness of wild Origanum elongatum extracts as biopesticides was explored in controlling P. infestans and potentially mitigating its devastating impact in planta. Methods The aerial parts of O. elongatum were subjected to sequential extraction using water, hexane, chloroform, and methanol. The obtained extracts were tested in vitro through the poisoned food procedure for their capacity to obstruct P. infestans growth and to defeat potato blight severity in vivo. The phyto-contents (total phenolic content (TPC) and total flavonoid content (TFC)), as well as the antioxidant activities, were spectrophotometrically determined in all extracts, and the phytoconstituents of the most active extract (methanolic extract) were profiled via high-performance liquid chromatography–photodiode array–tandem mass spectrometry (HPLC–PDA–MS/MS). Results In vitro, the complete inhibition rate of the P. infestans was obtained using the methanolic extract at 5 mg/mL, followed by the hexane and chloroform extracts at 10 mg/mL. Interestingly, complete inhibition of the pathogen was achieved upon the application of the aqueous extract at 10 mg/mL. In vivo, the aqueous extract at 25 mg/mL reduced the P. infestans severity rate to 27.25%, while the methanolic extract at 20 mg/mL led to the lowest severity rate. Moreover, the hexane and chloroform extracts impaired the pathogen severity rate to 50% and 41% using 20 mg/mL, respectively. The TPC and TFC in the extracts were variable with high concentrations detected in the methanolic extract with 485.42 mg GAE/g and 58.24 mg QE/g, respectively. In addition, the methanolic extract showed the highest antioxidant activities, while the chloroform extract exhibited the lowest activity. Liquid chromatography (LC)–MS/MS analysis of the methanol extract revealed 56 components from diverse classes. These included organic acids, phenolic acids, flavonoids, tannins, and coumarins. Conclusion These findings suggest that O. elongatum could be investigated as a potential source of antifungal compounds targeting different phytopathogens.
Diagnosis of the tourism offer in the province of Imbabura

This research develops a baseline of the tourism available in Imbabura for the purpose of implementing actions that improve the current indicators. All the data collected come from private businesses registered in the land registry (census) compiled by the Ministry of Tourism in the province of Imbabura. A group of previously trained university students administered a questionnaire to managers and business owners. The subsectors under study were: accommodation, food and beverages, travel agencies or intermediation, and tourist transportation. By using this information, it is intended to diagnose the current situation in the province to strengthen it from an administrative, sustainable and marketing perspective, uniting academia, public and private sectors. The results show that the tourism industry in Imbabura requires effective marketing strategies and environment to enhance the sector and position the province as a brand. Tourism must be aligned with the Geopark initiative, a project that focuses on education, conservation, and geotourism.