Miracle-dz/UniFAR-FTUs huggingface dataset:
Motivational Climate Predicts Student Evaluations of Teaching: Relationships Between Students’ Course Perceptions, Ease of Course, and Evaluations of Teaching

Student evaluations of teaching (SETs) are important at most colleges and universities. One purpose of this study was to determine the extent to which motivational climate was associated with SETs. Another purpose was to determine whether course ease was associated with SETs. Participants included 2,949 undergraduate students from 30 courses at a large public university. Using hierarchical linear modeling, we examined the extent to which students’ motivation-related course perceptions (empowerment/autonomy, usefulness, success expectancies, situational interest, and caring) related to SETs at the student and class levels. SETs were highly associated with motivational climate. Furthermore, easier courses were rated lower by students when controlling for motivational climate and the demographical composition of the class. These findings highlight the association between the motivational climate and SETs and suggest that one way to improve SETs may be for instructors to focus on improving the motivational climate rather than making the course easier.
Surgical and Patient-Reported Outcomes of Delayed Anastomotic Urethroplasty for Male Pelvic Fracture Urethral Injury at a Japanese Referral Center

We aimed to assess the surgical and patient-reported outcomes of delayed anastomotic urethroplasty (DAU) for pelvic fracture urethral injury (PFUI). We included 211 male patients who underwent DAU for PFUI. DAU success was considered when the urethral lumen was sufficiently large for the passage of a flexible cystoscope, without additional treatment required. The patients completed the lower urinary tract symptoms (LUTS)-related quality of life (QOL) questionnaire (scores: 0, not at all; 1, a little; 2, somewhat; 3, a lot), EuroQol-5 dimensions (EQ-5D), and EQ-5D visual analog scale (EQ-VAS). Postoperative overall satisfaction was evaluated using the following responses: “very satisfied,” “satisfied,” “unsatisfied,” or “very unsatisfied. ” DAU was successful in 95.3% cases, with a median postoperative follow-up duration of 48 months. Multivariate logistic regression analysis revealed that “greater blood loss” was an independent predictor of failed urethroplasty. Questionnaire responses were obtained from 80.1% patients. The mean LUTS-related QOL, EQ-5D score and EQ-VAS improved significantly from 2.8, 0.63 and 54.4 at baseline to 0.9, 0.81 and 76.6 postoperatively (p < 0.0001 for all parameters). Moreover, 35.5% and 59.2% of the patients responded being “satisfied” and “very satisfied,” respectively, with their DAU outcomes. DAU not only had a high surgical success rate, but also a significant beneficial effect on both LUTS-related QOL and overall health-related QOL.
Penalized likelihood ratio test for a biomarker threshold effect in clinical trials based on generalized linear models

In a clinical trial, the responses to the new treatment may vary among patient subsets with different characteristics in a biomarker. It is often necessary to examine whether there is a cutpoint for the biomarker that divides the patients into two subsets of those with more favourable and less favourable responses. More generally, we approach this problem as a test of homogeneity in the effects of a set of covariates in generalized linear regression models. The unknown cutpoint results in a model with nonidentifiability and a nonsmooth likelihood function to which the ordinary likelihood methods do not apply. We first use a smooth continuous function to approximate the indicator function defining the patient subsets. We then propose a penalized likelihood ratio test to overcome the model irregularities. Under the null hypothesis, we prove that the asymptotic distribution of the proposed test statistic is a mixture of chi‐squared distributions. Our method is based on established asymptotic theory, is simple to use, and works in a general framework that includes logistic, Poisson, and linear regression models. In extensive simulation studies, we find that the proposed test works well in terms of size and power. We further demonstrate the use of the proposed method by applying it to clinical trial data from the Digitalis Investigation Group (DIG) on heart failure.
Effectiveness of Platelet-Rich Plasma Therapy in Androgenic Alopecia—A Meta-Analysis

Platelet-rich plasma (PRP) represents a novel therapy tested and is used more and more frequently in dermatology and cosmetic surgery for a variety of conditions, including androgenic alopecia (AGA), a common condition with a complex pathogenesis involving genetic factors, hormonal status and inflammation. We performed an extensive literature search which retrieved 15 clinical trials concerning the use in AGA of PRP therapy, alone or in combination, in male, female or mixed patient groups. A quantitative statistical meta-analysis of n = 17 trial groups proved significant increases in hair density from 141.9 ± 108.2 to 177.5 ± 129.7 hairs/cm2 (mean ± SD) following PRP (p = 0.0004). To the best of our knowledge, this is the first meta-analysis that proved a statistically significant correlation between the number of PRP treatments per month and the percentage change in hair density (r = 0.5, p = 0.03), as well as a negative correlation between the mean age of treatment group and the percentage change in hair density (r = −0.56, p = 0.016). Other factors considered for analysis were the PRP preparation method, amount used per treatment, hair diameter, terminal hairs and pull test. We conclude that PRP represents a valuable and effective therapy for AGA in both males and females if patients are rigorously selected.
EVALUATING SPLIT TIMING FERTILIZER APPLICATIONS FOR IMPROVING BREAD BAKING QUALITY OF SOFT RED WINTER WHEAT IN KENTUCKY

There is growing interest among farmers to locally produce high protein and strong gluten wheat that is suitable for bread making and meet the demand of local artisanal bakers in Kentucky. The warm and humid weather in southeast region is ideal for soft red winter wheat (SRW) production which characterized by low protein content. The technique of splitting nitrogen (N) fertilization according to the growth stages has been suggested to improve protein content and its composition. This study evaluated the effect of split N application on yield and baking quality traits of two SRW wheat cultivars grown in the eastern U.S. region in conventional and organic cropping systems. One landrace (Purple Straw) and one modern cultivar (Pembroke 2014 ) were grown under three split N application treatments (ST1, ST2 and ST3). Late N applications (ST3) significantly increased protein content for both years by 5.45% and 6.11% respectively compared to a single application; however, this treatment decreased yield. Cropping system had consistent effects in that conventional system exceeded organic system except for thousand kernel weight. Conventional system had greater yield by 16.11% and 20.17% respectively for both years than organic system. Similarly, sedimentation value (a baking quality trait) was greater by 14.27% and 11.12% respectively in conventional than organic system. This study has generally found improvement in protein content by N application on soft red winter wheat. In addition, more studies should be done in organic system to examine other baking quality traits.
WJMI: A New Feature Selection Algorithm Based on Weighted Joint Mutual Information

Mutual information based feature selection algorithms are very popular currently. Though they perform well in many cases, they suffer from two drawbacks: (1) the neglect of feature interaction; (2) the overestimation of some features. To overcome these shortcomings, a new feature evaluation criterion considering feature interaction is proposed and a pruning rule is designed. Based on the criterion and pruning rule, a new feature selection algorithm WJMI is proposed. Experiments carried out on UCI real world dataset against other four algorithms demonstrate the effectiveness of WJMI.
In Situ Passive Sampling to Monitor Long Term Cap Effectiveness at a Tidally Influenced Shoreline

Polydimethylsiloxane solid-phase microextraction passive samplers were used to evaluate long-term performance of a sand/gravel cap placed in 2005 in a tidally influenced shoreline in Puget Sound to reduce polycyclic aromatic hydrocarbon (PAH) transport into overlying surface water. Sampling in both 2010 and 2018 measured porewater concentrations of <1 ng/L total PAHs in the cap layer. d-PAH performance reference compounds were used to evaluate the extent of equilibration of the contaminants onto the samplers and to estimate net upwelling velocities through a mass-transfer model. The upwelling velocities were used to predict long-term migration of selected PAHs through the cap, showing that the cap is expected to continue being effective at limiting exposure of contaminants at the cap–water interface.
INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS

Today, people provide information through different channels. The information channels used can affect the decision-making mechanism due to asymmetric information or different tendencies. Especially in recent years, people use social media to reach information quickly. Therefore, notifications made on social media reveal economic results. Cryptocurrencies are digital currencies intended to be used as currency. Unlike their traditional financial rivals, cryptocurrencies are not backed by a central bank or authority. The success of cryptocurrencies depends on its infrastructure, the block chain. Especially in recent years, the popularity of cryptocurrencies has increased. After the popularization of cryptocurrencies, digital currencies are discussed more especially in the media. In addition to the positive features, negative features are also included in the media. There are concerns about the misuse of cryptocurrencies. It is mentioned that cryptocurrencies provide financing for criminal organizations and are used in money laundering. In addition to these, it is reported that cryptocurrencies are used for tax evasion. The lack of intrinsic value of cryptocurrencies puts investors in trouble in terms of investment and price determination. Cryptocurrencies, which are digital currencies, have many digital price determinants such as social media. Two different objectives were determined in this study. The first is the detection of the presence of bubbles in Dodgecoin prices. The second is the examination of the relationship between bubbles and tweeter notifications. In the study, Dodgecoin prices between May 2020 and May 2021 are examined with the GSADF test. From May 2020 until May 2021, 10 different price bubbles are observed. Some bubbles can be associated with tweets by Elon Musk. However, the biggest bubble observed, the April 2021 price bubble, is due to a different reason.
Analyzing and Predicting Verification of Data-Aware Process Models–A Case Study With Spectrum Auctions

Verification techniques play an essential role in detecting undesirable behaviors in many applications like spectrum auctions. By verifying an auction design, one can detect the least favorable outcomes, e.g., the lowest revenue of an auctioneer. However, verification may be infeasible in practice, given the vast size of the state space on the one hand and the large number of properties to be verified on the other hand. To overcome this challenge, we leverage machine-learning techniques. In particular, we create a dataset by verifying properties of a spectrum auction first. Second, we use this dataset to analyze and predict outcomes of the auction and characteristics of the verification procedure. To evaluate the usefulness of machine learning in the given scenario, we consider prediction quality and feature importance. In our experiments, we observe that prediction models can capture relationships in our dataset well, though one needs to be careful to obtain a representative and sufficiently large training dataset. While the focus of this article is on a specific verification scenario, our analysis approach is general and can be adapted to other domains.
Tourism Goes Mobile: Using Smartphone Apps to Access Tourism Services on the Go

This study investigates mobile users' intention to adopt smartphone applications (apps) for accessing tourism services. A research framework was proposed and empirically tested using data collected from a survey on mobile users. Innovation diffusion theory and media selection theory were used to explore and explain mobile users' intention to adopt smartphone-enabled tourism services (STS). Among the investigated factors, functionality, usability, situational factor, image, relative advantage and low complexity were found to significantly affect users' intention to adopt STS. Social influence was found to significantly affect image, thus indirectly influencing users' intention to use STS. Based on the findings, the tourism industry should focus on the validated factors for developing STS in a ubiquitous commerce environment. The research findings can help managers and decision makers in the tourism industry keep pace with research on consumer attitudes and innovations in smartphone applications, and make favorable tactics to catch the benefits offered by STS in the ubiquitous commerce environment.
Polymer-Based Constructs for Flexor Tendon Repair: A Review

A flexor tendon injury is acquired fast and is common for athletes, construction workers, and military personnel among others, treated in the emergency department. However, the healing of injured flexor tendons is stretched over a long period of up to 12 weeks, therefore, remaining a significant clinical problem. Postoperative complications, arising after traditional tendon repair strategies, include adhesion and tendon scar tissue formation, insufficient mechanical strength for early active mobilization, and infections. Various researchers have tried to develop innovative strategies for developing a polymer-based construct that minimalizes these postoperative complications, yet none are routinely used in clinical practice. Understanding the role such constructs play in tendon repair should enable a more targeted approach. This review mainly describes the polymer-based constructs that show promising results in solving these complications, in the hope that one day these will be used as a routine practice in flexor tendon repair, increasing the well-being of the patients. In addition, the review also focuses on the incorporation of active compounds in these constructs, to provide an enhanced healing environment for the flexor tendon.
Ca2+/Calmodulin-Dependent Protein Kinase II Inhibits Hepatitis B Virus Replication from cccDNA via AMPK Activation and AKT/mTOR Suppression

Ca2+/calmodulin-dependent protein kinase II (CaMKII), which is involved in the calcium signaling pathway, is an important regulator of cancer cell proliferation, motility, growth, and metastasis. The effects of CaMKII on hepatitis B virus (HBV) replication have never been evaluated. Here, we found that phosphorylated, active CaMKII is reduced during HBV replication. Similar to other members of the AMPK/AKT/mTOR signaling pathway associated with HBV replication, CaMKII, which is associated with this pathway, was found to be a novel regulator of HBV replication. Overexpression of CaMKII reduced the expression of covalently closed circular DNA (cccDNA), HBV RNAs, and replicative intermediate (RI) DNAs while activating AMPK and inhibiting the AKT/mTOR signaling pathway. Findings in HBx-deficient mutant-transfected HepG2 cells showed that the CaMKII-mediated AMPK/AKT/mTOR signaling pathway was independent of HBx. Moreover, AMPK overexpression reduced HBV cccDNA, RNAs, and RI DNAs through CaMKII activation. Although AMPK acts downstream of CaMKII, AMPK overexpression altered CaMKII phosphorylation, suggesting that CaMKII and AMPK form a positive feedback loop. These results demonstrate that HBV replication suppresses CaMKII activity, and that CaMKII upregulation suppresses HBV replication from cccDNA via AMPK and the AKT/mTOR signaling pathway. Thus, activation or overexpression of CaMKII may be a new therapeutic target against HBV infection.
Solids Turn into Liquids—Liquid Eutectic Systems of Pharmaceutics to Improve Drug Solubility

The low solubility of active pharmaceutical ingredients (APIs) is a problem in pharmaceutical development. Several methodologies can be used to improve API solubility, including the use of eutectic systems in which one of the constituents is the API. This class of compounds is commonly called Therapeutic Deep Eutectic Systems (THEDES). THEDES has been gaining attention due to their properties such as non-toxicity, biodegradability, and being non-expensive and easy to prepare. Since the knowledge of the solid liquid diagram of the mixture and the ideal eutectic point is necessary to ascertain if a mixture is a deep eutectic or just a eutectic mixture that is liquid at ambient temperature, the systems studied in this work are called Therapeutic Liquid Eutectic Systems (THELES). Therefore, the strategy proposed in this work is to improve the solubility of chlorpropamide and tolbutamide by preparing THELES. Both APIs are sulfonylurea compounds used for the treatment of type 2 diabetes mellitus and have low solubility in water. To prepare the THELES, several coformers were tested, namely, tromethamine, L(+)-arginine, L-tryptophan, citric acid, malic acid, ascorbic acid, and p-aminobenzoic acid, in molar ratios of 1:1 and 1:2. To improve viscosity, water was added in different molar ratios to all systems. THELES were characterized by mid-infrared spectroscopy (MIR), and differential scanning calorimetry. Their viscosity, solubility, and permeability were also determined. Their stability at room temperature and 40 °C was accessed by MIR. Cytocompatibility was performed by metabolic activity and cell lysis evaluation, according to ISO10993-5:2009, and compared with the crystalline APIs. THELES with TRIS were successfully synthesized for both APIs. Results showed an increased solubility without a decrease in the permeability of the APIs in the THELES when compared with the pure APIs. The THELES were also considered stable for 8 weeks at ambient temperature. The cells studied showed that the THELES were not toxic for the cell lines used.
Secondary Structure of Influenza A Virus Genomic Segment 8 RNA Folded in a Cellular Environment

Influenza A virus (IAV) is a member of the single-stranded RNA (ssRNA) family of viruses. The most recent global pandemic caused by the SARS-CoV-2 virus has shown the major threat that RNA viruses can pose to humanity. In comparison, influenza has an even higher pandemic potential as a result of its high rate of mutations within its relatively short (<13 kbp) genome, as well as its capability to undergo genetic reassortment. In light of this threat, and the fact that RNA structure is connected to a broad range of known biological functions, deeper investigation of viral RNA (vRNA) structures is of high interest. Here, for the first time, we propose a secondary structure for segment 8 vRNA (vRNA8) of A/California/04/2009 (H1N1) formed in the presence of cellular and viral components. This structure shows similarities with prior in vitro experiments. Additionally, we determined the location of several well-defined, conserved structural motifs of vRNA8 within IAV strains with possible functionality. These RNA motifs appear to fold independently of regional nucleoprotein (NP)-binding affinity, but a low or uneven distribution of NP in each motif region is noted. This research also highlights several accessible sites for oligonucleotide tools and small molecules in vRNA8 in a cellular environment that might be a target for influenza A virus inhibition on the RNA level.
Lighting from Top and Side Enhances Photosynthesis and Plant Performance by Improving Light Usage Efficiency

Light is a critical environmental factor that influences plant growth and development, ranging from seed germination to flowering and fruiting. This study was carried out to explore how the optimal combination of various lighting directions increases the light usage efficiency and influences the plant morphophysiology, by investigating the plant growth parameters, leaf anatomy, epidermal morphology, stomatal properties, chlorophyll content, key physiological changes, and correlated gene expressions. In closed-type plant growth chambers, rooted cuttings of two chrysanthemum (Chrysanthemum morifolium Ramat.) cultivars, “Pearl Egg” and “Gaya Glory”, were subjected to a 10-h photoperiod with 600 μmol∙m−2·s−1 photosynthetic photon flux density (PPFD) provided by light-emitting diodes (LEDs) in each light-direction combination (top (1/1) (T), top (1/2) + side (1/2) (TS), top (1/2) + bottom (1/2) (TB), side (1/2) + bottom (1/2) (SB), and top (1/3) + side (1/3) + bottom (1/3) (TSB)). The TS lighting significantly enhanced the morphophysiological performance, compared to the other lighting direction combinations. Notably, the excellent branch formation and earlier flowering were induced by the TS lighting in both “Pearl Egg” and “Gaya Glory” plants.
ANTIBACTERIAL EFFICACY OF Anopheles gambiae (MOSQUITOES) EXTRACTS ON SOME BACTERIA CAUSING THROAT INFECTIONS

Introduction: Respiratory tract infection refers to any infectious disease involving the respiratory tract. In low-income and middle-income countries, respiratory tract infection is considered as one of the major public health problems. It can lead to severe mortality and morbidity in children as well as adults. Over the years there has been a development of resistance to antibiotics used for the treatment of throat infections which has led to the search for alternative therapy. Insects can be potentially useful as an alternative therapy because of the diverse bioactive compounds they possess. Objective: This research investigated the antibacterial activity of the extract of Anopheles gambiae against bacterial isolates associated with throat infection. Methods: The insects were bred in microbiology laboratory and identified in the Department of Biology, Federal University of Technology, Akure. The mosquitoes were collect and immobilized in the freezer at -4oC. The extracts were prepared by mecrating the mosquitoes into 30% Dimethlsulfoxide (DMSO) for its homogenization. Extracts were then tested against bacterial isolates in-vitro using agar well diffusion method. Results: Extracts were tested against bacterial isolates using agar well diffusion method which showed activity against S. pyogenes (22.00 ± 0.58b mm), S. aureus (19.67 ± 1.20mm) and K. pneumoniae (24 ± 1.15mm), while it showed no activity against E. coli and S. pneumoniae. Conclusion: A. gambiae extract may be considered as an alternative in medicine to combat the issue of increasing multidrug resistance to conventional antibiotics, the side effects of these antibiotics and high cost of synthetic drugs production. The most prevalent compound was n-hexadecenoic with retention time of 20.997, which was reported to exhibit antioxidant and antimicrobial activity.