Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing Behavior Data of Students in the Classroom with Association Rule Mining

Students behavior in the classroom has a close relation with the academic performance of students. With the widespread use of mobile phones, the students are easily distracted by mobile phones during the class. Therefore, analyzing the students behavior in the classroom becomes important to improve the quality of teaching. However, the existing methods for analyzing students behavior in the classroom, such as facial recognition, has low efficiency with large amounts of irrelevant data. And it also raises concerns about privacy and ethical issues. To solve this problem, in this paper, a novel mobile software called EasyClass has been developed to collect and quantify students behaviors. Based on the data collected by EasyClass, we propose to utilize user profiling to study students behavior in the classroom. The clustering algorithm is firstly employed to classify the data and generate semantically tags which describe students behavior in the classroom. Then a sequence and association rule analysis method is used to analyze the behavior tags and generated association rules. The results enable educators and non-expert users to gain a deeper understanding of students behavior in the classroom, and further improve the quality of the classroom teaching.
Comparative Chemical Composition and Antioxidant Properties of the Essential Oils and Aromatic Water from Teucrium persicum Boiss

The essential oils and aromatic water, known as Arak in traditional Iranian medicine, comes from the aerial part of Teucrium persicum Boiss. , which is grown in Fars Province located in Iran. The samples were collected in summer and the oils and aromatic water were obtained through steam distillation. The chemical composition of the oils was analyzed using GC-MS. An analysis of the chemical profile of the isolated oils revealed the presence of more than 80 compounds, mainly oxygenated monoterpenes and sesquiterpene hydrocarbons. The principal components of essential oil were α-cadinene (9.7%), 1,4-cadinadiene (9.2%) and α-terpinyl acetate (7.9%). The major constituents in the Arak were determined to be linalool (10.4%), α-cadinene (7.5%) and γ-terpineol (7.3%). Most of the compounds identified from different oils were similar, but their amounts differed. The oil revealed a higher content of total phenolics than the Arak (1.71 ± 0.12 mg GAE/g DW and 1.36 ± 0.11 mg GAE/g DW, respectively). The antioxidant activity of the oils was calculated by using a ferric reducing antioxidant power assay (FRAP), DPPH radical scavenging activity, and a reducing power assay (RP). The FRAP value points to a considerably higher reducing power of essential oil (220 ± 7.2 µmol Fe2+/g DW) compared to that of Arak (113 ± 5.4 µmol Fe2+/g DW). Essential oil exhibited higher radical scavenging potential (IC50 = 0.29 mg/mL) than Arak (IC50 = 4.19 mg/mL). The reducing power of essential oil (51.7 ± 4.3 µg BHA/g DW) was higher than that of Arak (34.1 ± 2.7 µg BHA/g DW). The studied essential oils showed good antioxidant activities, which were higher than those of Arak.
Nursing interventions in a telemonitoring program.

BACKGROUND The use of telemonitoring of patients with chronic illness in their homes is growing. Current literature does not describe what types of patient problems are addressed by nurses in these programs and what actions are taken in response to identified problems. This study defined and analyzed patient problems and nursing actions delivered in a telemonitoring program focused on chronic disease management. SUBJECTS AND METHODS Data were drawn from a clinical trial that evaluated telemonitoring in patients with comorbid diabetes and hypertension. Using study patient records, patient problems and nursing actions were coded using an inductive approach. RESULTS In total, 2,336 actions were coded for 68 and 65 participants in two intervention groups. The most frequent reasons for contact were reporting information to the primary care provider and lifestyle information related to diabetes and hypertension (e.g., diet, smoking cessation, foot care, and social contacts). The most frequent mode of contact was the study sending a letter to a participant. CONCLUSIONS Detailed descriptions of interventions delivered facilitate analysis of the unique contributions of nurses in the expanding market of telemonitoring, enable identification of the appropriate number and combination of interventions needed to improve outcomes, and make possible more systematic translation of findings to practice. Furthermore, this information can inform calculation of appropriate panel sizes for care managers and the competencies needed to provide this care.
An inquiry into school context and the teaching of the virtues

If teachers' views of their work are strongly influenced by school-level processes, and if it can be shown that there is a tight connection between teachers' views of their work and their actual conduct in the classroom, then what students gain morally and intellectually from their experiences in school may be contingent, in important ways, on the avowed philosophy of the school and the commitment of the school principal to that philosophy. Although this chain of reasoning may be lengthy and somewhat fragile, it is filled with interesting implications. This paper is a first step in examining these potential connections. Using multiple case study methods, an analysis is presented around principals' and teachers' views regarding the school philosophy, the organizational structures that allow for its implementation, and to what any congruence between them might be attributed.
Stem cells in endometrium and their role in the pathogenesis of endometriosis

The human endometrium is a dynamic tissue that undergoes cycles of growth and regression with each menstrual cycle. Adult progenitor stem cells are likely responsible for this remarkable regenerative capacity; these same progenitor stem cells may also have an enhanced capacity to generate endometriosis if shed in a retrograde fashion. The progenitor stem cells reside in the uterus; however, less‐committed mesenchymal stem cells may also travel from other tissues such as bone marrow to repopulate the progenitor population. Mesenchymal stem cells are also involved in the pathogenesis of endometriosis and may be the principle source of endometriosis outside of the peritoneal cavity when they differentiate into endometriosis in ectopic locations. Finally, besides progenitor stem cells, recent publications have identified multipotent stem cells in the endometrium. These multipotent stem cells are a readily available source of cells that are useful in tissue engineering and regenerative medicine. Endometrial stem cells have been used to generate chondrocytes, myocytes, neurons, and adiposites in vitro as well as to replace dopaminergic neurons in a murine model of Parkinson's disease.
A predictive model of muscle excitations based on muscle modularity for a large repertoire of human locomotion conditions

Humans can efficiently walk across a large variety of terrains and locomotion conditions with little or no mental effort. It has been hypothesized that the nervous system simplifies neuromuscular control by using muscle synergies, thus organizing multi-muscle activity into a small number of coordinative co-activation modules. In the present study we investigated how muscle modularity is structured across a large repertoire of locomotion conditions including five different speeds and five different ground elevations. For this we have used the non-negative matrix factorization technique in order to explain EMG experimental data with a low-dimensional set of four motor components. In this context each motor components is composed of a non-negative factor and the associated muscle weightings. Furthermore, we have investigated if the proposed descriptive analysis of muscle modularity could be translated into a predictive model that could: (1) Estimate how motor components modulate across locomotion speeds and ground elevations. This implies not only estimating the non-negative factors temporal characteristics, but also the associated muscle weighting variations. (2) Estimate how the resulting muscle excitations modulate across novel locomotion conditions and subjects. The results showed three major distinctive features of muscle modularity: (1) the number of motor components was preserved across all locomotion conditions, (2) the non-negative factors were consistent in shape and timing across all locomotion conditions, and (3) the muscle weightings were modulated as distinctive functions of locomotion speed and ground elevation. Results also showed that the developed predictive model was able to reproduce well the muscle modularity of un-modeled data, i.e., novel subjects and conditions. Muscle weightings were reconstructed with a cross-correlation factor greater than 70% and a root mean square error less than 0.10. Furthermore, the generated muscle excitations matched well the experimental excitation with a cross-correlation factor greater than 85% and a root mean square error less than 0.09. The ability of synthetizing the neuromuscular mechanisms underlying human locomotion across a variety of locomotion conditions will enable solutions in the field of neurorehabilitation technologies and control of bipedal artificial systems. Open-access of the model implementation is provided for further analysis at https://simtk.org/home/p-mep/.
Exploring Both Flat and Structured Features for Number Type Identification of Chinese Personal Noun Phrases

Different from English, Chinese does not explicitly show grammatical number information by inflection. The Number information in a Chinese sentence is implied by the noun phrase itself and its surrounding context. In this paper, we explore diverse features, including both flat and structured, for number identification of Chinese personal noun phrase. The flat features explore the knowledge within the noun phrase while the structured features capture the surrounding context information of the noun phrase in the parse tree of the given sentence. These two kinds of features together with kernel-based SVM are utilized in this study. Evaluation on the ACE 2005 corpus shows that our method achieves 89.23% in accuracy, which significantly advances the state-of-the-art.
Total white blood cell count is associated with the presence, severity and extent of coronary atherosclerosis detected by dual-source multislice computed tomographic coronary angiography.

BACKGROUND Total white blood cell (WBC) count has been consistently shown to be an independent risk factor and predictor for future cardiovascular outcomes, regardless of disease status in coronary artery disease (CAD). The purpose of this study is to evaluate the relationship between total WBC count and the presence, severity and extent of coronary atherosclerosis detected in subjects undergoing multislice computed tomographic (MSCT) coronary angiography for suspected CAD. METHODS A total of 817 patients were enrolled in this cross-sectional study. Non-significant coronary plaque was defined as lesions causing £ 50% luminal narrowing, and significant coronary plaque was defined as lesions causing 〉 50% luminal narrowing. For each segment, coronary atherosclerotic lesions were categorized as none, calcified, non-calcified and mixed. All images were interpreted immediately after scanning by an experienced radiologist. RESULTS An association between hypertension, diabetes mellitus, age, gender, hyperlipidemia, smoking, total WBC counts and coronary atherosclerosis was found when patients were grouped into two categories according to the presence of coronary atherosclerosis (p 〈 0.05). Although plaque morphology was not associated with total WBC counts, the extent of coronary atherosclerosis was increased with higher total WBC quartiles (p = 0.006). Patients with critical luminal stenosis had higher levels of total WBC counts when compared to patients with non-critical luminal narrowing (7,982 ± 2,287 vs 7,184 ± 1,944, p 〈 0.05). CONCLUSIONS Our study demonstrated that total WBC counts play an important role in inflammation and are associated with the presence, severity and extent of coronary atherosclerosis detected by MSCT. Further studies are needed to assess the true impact of WBC counts on coronary atherosclerosis, and to promote its use in predicting CAD.
Temperature-Dependent Quenching Rate Constants of NF(a1Δ)

The temperature dependence of the rate constants for NF(a1Δ) quenching by Cl2, HCl, O2, and CO over the temperature range 300−480 K have been measured in a flow reactor. The rate constant data were fit by Arrhenius expressions k(T, Cl2) = 1.6 ± 1.0 × 10-11 exp(−1100 ± 250/T), k(T, HCl) = 2.0 ± 1.0 × 10-10 exp(−3270 ± 250/T), k(T, O2) = 1.5 ± 0.5 × 10-14 exp(−300 ± 150/T) and k(T, CO) = 2.0 ± 1.0 × 10-12 exp(−2000 ± 250/T), cm3 molecules-1 s-1. Reaction mechanisms and possible products are discussed for each reaction.
A Dual-Mode Noise-Immune Stethoscope for Use in Noisy Vehicles

Abstract : In combat casualty and civilian environments, an unmet need exists for a stethoscope that can hear heart and especially breathing sounds while inside helicopters, fixed-wing aircraft, or ambulances where noise levels preclude auscultation with standard stethoscopes. Without this capability, patients can suffer from unidentified collapsed lungs or loss of intubation integrity with the threat of loss of life. A conventional acoustic stethoscope will not function in background noise levels beyond 80-85 dB. Electronic stethoscopes, in combination with mechanical impedance-matched transducer designs, can extend this range to about 90 dB. This is, unfortunately, not enough for helicopter noise levels that can reach 110 dB. The use of an ultrasound transmitter and receiver, however, provides an essentially noise-free auscultation channel since transportation vehicles do not produce acoustic energy at ultrasound carrier frequencies of 2-3 MHz. Clean and noise-free heart and breath sounds have been obtained in broadband noise fields of intensities as high as 120 dB. A hybrid stethoscope has been developed that allows auscultation by ultrasound Doppler as well as by electro-mechanical means. Pros and cons of making Doppler sounds subjectively similar to conventional sounds by nonlinear signal processing will be discussed, as well as potentially functional and meaningful aspects of Doppler signals that are not found in conventional stethoscope sounds.
The Anti-Oxidant Defense System of the Marine Polar Ciliate Euplotes nobilii: Characterization of the MsrB Gene Family

Organisms living in polar waters must cope with an extremely stressful environment dominated by freezing temperatures, high oxygen concentrations and UV radiation. To shed light on the genetic mechanisms on which the polar marine ciliate, Euplotes nobilii, relies to effectively cope with the oxidative stress, attention was focused on methionine sulfoxide reductases which repair proteins with oxidized methionines. A family of four structurally distinct MsrB genes, encoding enzymes specific for the reduction of the methionine-sulfoxide R-forms, were identified from a draft of the E. nobilii transcriptionally active (macronuclear) genome. The En-MsrB genes are constitutively expressed to synthesize proteins markedly different in amino acid sequence, number of CXXC motifs for zinc-ion binding, and presence/absence of a cysteine residue specific for the mechanism of enzyme regeneration. The En-MsrB proteins take different localizations in the nucleus, mitochondria, cytosol and endoplasmic reticulum, ensuring a pervasive protection of all the major subcellular compartments from the oxidative damage. These observations have suggested to regard the En-MsrB gene activity as playing a central role in the genetic mechanism that enables E. nobilii and ciliates in general to live in the polar environment.
A Stable Marriage of Poisson and Lebesgue

Let be a discrete set in R d . Call the elements of centers. The well-known Voronoi tessellation partitions R d into polyhedral regions (of varying sizes) by allocating each site of R d to the closest center. Here we study \fair" allocations of R d to in which the regions allocated to dieren t centers have equal volumes. We prove that if is obtained from a translation-invariant point process, then there is a unique fair allocation which is stable in the sense of the Gale-Shapley marriage problem. (That is, sites and centers both prefer to be allocated as close as possible, and an allocation is said to be unstable if some site and center both prefer each other over their current allocations.) We show that the region allocated to each center is a union of nitely many bounded connected sets. However, in the case of a Poisson process, an innite volume of sites are allocated to centers further away than . We prove power law lower bounds on the allocation distance of a typical site. It is an open problem to prove any upper bound in d > 1.
Analisis Strategi Pembinaan Atlet oleh Dinas Kebudayaan Pariwisata Pemuda dan Olahraga Kabupaten Pati

This study aimed to explore alternative strategies for coaching athletes in Pati regency. The research process begins with identifying and analyzing strategic value, internal and external environment as well as enabling factors and inhibitors. The next process is to establish strategic issues using SWOT analysis and formulate development strategies. This is a descriptive qualitative research. Researchers will describe the situation on the ground and propose a development strategy as a recommendation to the government. Data collection techniques used were interviews and documentation. Determination of informants also obtained by purposive sampling technique, such as interviews with the Head of Department, Head of Section, KONI, coaches and athletes involved. Strategy coaching athletes obtained from the SWOT analysis there are four, Utilizing conformity the vision and mission with fostering the current condition as a foundation in early coaching ages, promote the welfare of athletes by utilizing the commitment of stakeholders, Improving the quality and quantity of human resources by utilizing the methods of competition and a stable political conditions, and Improving the quality of sports facilities and infrastructure in accordance with the standards by working with a third party.
Thrombin activatable fibrinolysis inhibitor gene polymorphisms are associated with antigenic levels in the Asian‐Indian population but may not be a risk for stroke

Thrombin activatable fibrinolysis inhibitor [carboxypeptidase B2 (plasma), CPB2] is a basic carboxypeptidase, which inhibits fibrinolysis by cleaving the C‐terminal lysine residues on plasmin‐modified partially degraded fibrin. Plasma CPB2 concentrations have been reported to be under the control of numerous single nucleotide polymorphisms located in the regulatory and coding regions of the gene encoding CPB2 (CPB2). High functional CPB2 levels have been found to be associated with an increased risk for ischemic stroke. The present study investigated CPB2 antigen levels and associated CPB2 polymorphisms in an acute onset non‐cardioembolic stroke population compared with an age‐ and sex‐matched healthy control population. This is, to the best of our knowledge, the first such study done in an Asian Indian population. CPB2 antigen levels were significantly associated with the disease phenotype (P < 0·001) and with CPB2 polymorphisms (P < 0·001). The haplotypes generated on analysis of the genotypic data accounted for 21% of the natural variation in the CPB2 antigenic levels. However none of the haplotype combinations generated showed any association with disease phenotype and therefore could not explain for the difference in CPB2 antigen levels between cases and controls.
Power Text Mining and Classification Based on Deep Learning Hybrid Models

The proposed deep learning hybrid model for power text mining and classification addresses the limitation of traditional methods that fail to reflect the significance of each word in the text during feature extraction. The model combines Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) networks, along with an attention mechanism, to effectively extract features from power text.Firstly, CNN is used to extract local information from power text, followed by integrating the semantics of the entire text. This step helps in capturing important patterns and relationships within the text. Secondly, LSTM is employed to extract contextual features from power text, which are then enhanced by adding an attention mechanism that calculates the attention score of output information. This mechanism enables the model to focus on crucial words and phrases in the text.Finally, the output of LSTM Attention is fused with the output of CNN to create a more comprehensive representation of power text features. This approach ensures that both local and global information is considered when classifying power text. Experimental results on public datasets demonstrate that the proposed model outperforms LSTM, CNN, and their improved models in terms of accuracy and effectiveness in power text classification. The model's ability to focus on important words and phrases leads to better performance in identifying relevant information from power text.
Robust Feature Classification and Editing

Sharp edges, ridges, valleys, and prongs are critical for the appearance and an accurate representation of a 3D model. In this paper, we propose a novel approach that deals with the global shape of features in a robust way. Based on a remeshing algorithm which delivers an isotropic mesh in a feature-sensitive metric, features are recognized on multiple scales via integral invariants of local neighborhoods. Morphological and smoothing operations are then used for feature region extraction and classification into basic types such as ridges, valleys, and prongs. The resulting representation of feature regions is further used for feature-specific editing operations
Immune response during therapy with cisplatin or radiation for human papillomavirus-related head and neck cancer.

BACKGROUND Human papillomavirus (HPV) is the most identifiable cause of head and neck squamous cell cancer (HNSCC). Compared with HPV-negative HNSCC, HPV-positive HNSCC presents at an advanced stage but with significantly better survival. We created a syngeneic mouse model of HPV-positive and HPV-negative HNSCC by transforming mouse primary tonsil epithelial cells with either HPV oncogenes or a nonantigenic RNA interference strategy that affects similar oncogenic pathways. OBJECTIVES To examine the effect of radiation therapy on HPV-positive and HPV-negative tumors in immune-competent and immune-incompetent mice and to examine responses in human cancer cell lines. DESIGN Prospective in vivo murine model. MAIN OUTCOME MEASURES Survival and tumor growth. RESULTS For human and murine transformed cell lines, HPV-positive cells were more resistant to radiation and cisplatin therapy compared with HPV-negative cells. In vivo, HPV-positive tumors were more sensitive to radiation, with complete clearance at 20 Gy, compared with their HPV-negative counterparts, which showed persistent growth. Cisplatin in vivo cleared HPV-positive tumors but not HPV-negative tumors. However, neither radiation or cisplatin therapy cured immune-incompetent mice. Adoptive transfer of wild-type immune cells into immune-incompetent mice restored HPV-positive tumor clearance with cisplatin therapy. CONCLUSIONS The HPV-positive tumors are not more curable based on increased epithelial sensitivity to cisplatin or radiation therapy. Instead, radiation and cisplatin induce an immune response to this antigenic cancer. The implications of these results may lead to novel therapies that enhance tumor eradication for HPV-positive cancers.