Miracle-dz/UniFAR-FTUs huggingface dataset:
Phylogenetic Relationships of Greek and Eurasian-Japanese Common Carp: The Origin of Cyprinus carpio from Western Greece

To elucidate the origin of the Greek common carp inhabiting the Lakes Amvrakia, Ozeros, Lysimacheia and Trichonida located in Western Greece, representative partial D-loop sequences 573 bp, in length, sequences from European, Asian and Japanese domestic and wild common carp strains (n=45) have been analyzed. Phylogenetic analysis indicates that the Yangtze River wild common carp (YWC1) is the ancestor for the Greek and all Eurasian common carp strains and the Lake Biwa wild common carp represent a possible ancient lineage of Cyprinus carpio. In addition, partial D-loop sequence analysis provided further support regarding the origin of the Greek common carp and revealed that the Ozeros Lake common carp (OZE2a) and Volga River wild common carp (VWC1) strains consist of a closely and a distinct ancestor for European Cyprinus carpio populations, respectively.
Intersection norms and one-faced collections

Intersection norms are integer norms on the ﬁrst homology group of a surface. In this article, we give examples of polytopes which are not the dual unit balls of intersection norms, answering a question asked in [2]. On the way, we investigate the set of collections of curves on Σ 2 whose complement is a disk.
Correlation between Chemical Composition, Water Holding Capacity and Flavonoids Content of Maize Verities Harvested at Buxedeni Village of KwaNongoma in KwaZulu Natal, South Africa

Maize is the most important grain crop in South Africa, especially in the rural places of KwaZulu Natal. Protein, starch, fat, minerals, fibre, and flavonoids content was determined, together with water holding capacity in four different maize varieties obtained from rural village of KwaNongoma (KwaZulu Natal Province). Red maize variety had higher macro nutrients than other verities however, all varieties showed low micro nutrients. The soaking time and soaking temperature showed to have an effect on water holding capacity of maize varieties. Red maize variety had higher capacity in all soaking temperatures which increased as the temperature increases with 1.69% at 25°C, 8.79% at 35°C and 11.89% at 45°C. Red and yellow variety showed phenolic content of more than 100 mg 100g-1. This study showed that all maize varieties yielded high nutritional value and flavonoid contents which makes maize produced from rural village of KwaNongoma suitable for human consumption.
Resveratrol and its Nanoparticle suppress Doxorubicin/Docetaxel-resistant anaplastic Thyroid Cancer Cells in vitro and in vivo

Background: Docetaxel and doxorubicin combination has been widely used in anaplastic thyroid cancer/ATC treatment but often results in serious adverse effects and drug resistance. Resveratrol effectively inhibits ATC cell proliferation in vitro without affecting the corresponding normal cells, while its in vivo anti-ATC effects especially on the ones with docetaxel/doxorubicin-resistance have not been reported due to its low bioavailability. Nanoparticles with sustained-release and cancer-targeting features may overcome this therapeutic bottleneck. Methods: The resveratrol nanoparticles with sustained-release and IL-13Rα2-targeting capacities (Pep-1-PEG3.5k-PCL4k@Res) were prepared to improve the in vivo resveratrol bioavailability. Human THJ-16T ATC cell line was employed to establish nude mice subcutaneous transplantation model. The tumor-bearing mice were divided into four groups as Group-1, without treatment, Group-2, treated by 30 mg/kg free resveratrol, Group-3, treated by 30 mg/kg Pep-1-PEG3.5k-PCL4k@Res and Group-4, treated by 5 mg/kg docetaxel/5 mg/kg doxorubicin combination. TUNEL staining was used to detect the apoptotic cells in the tumor tissues. Docetaxel/doxorubicin resistant xenografts named as THJ-16T/R were isolated and subjected to 2D and 3D culture. The docetaxel/doxorubicin and resveratrol sensitivities of the original THJ-16T and THJ-16T/R cells were analyzed by multiple methods. Results: Docetaxel/doxorubicin and Pep-1-PEG3.5k-PCL4k@Res but not free resveratrol significantly delayed tumor growth (P < 0.01) and caused extensive apoptosis. The mice in docetaxel/doxorubicin-treated group suffered from weight loss (> 10%) and 2/3 of them died within 3 times of treatment and the chemotherapy was stop to avoid further animal loss. One week after drug withdrawal, the subcutaneous tumors regrew and the tumor volume increased 55.28% within 14 days. The cells isolated from the regrowing tumors (THJ-16T/R) were successfully cultured under 2D and 3D condition and underwent drug treatments. Compared with THJ-16T, the death rate of docetaxel/doxorubicin-treated THJ-16T/R population was lower (39.3% vs 18.0%), which remained almost unchanged in resveratrol-treated group (45.3% vs 49.3%). Conclusion: Resveratrol sustained-release targeting nanoparticles effectively inhibit in vivo ATC growth. Docetaxel/doxorubicin suppresses ATC xenografts but causes obvious side effects and secondary drug resistance that can be overcome by resveratrol.
implementation of modules in Prolog

One obvious shortcoming in many Prolog implementations has been the lack of facilities for modularizing large Prolog programs, for providing information hiding, and generally for managing the space of user-defined names; predicates and operators are visible across the entire program in which they are used. One solution is to introduce “traditional” modules into Prolog, which is to say the sort of modules familiar to users of Modula 2 (except with a Prolog flavour). The paper describes a set of predicates which implement “traditional” modules in UNSW-Prolog. The implementation is arguably the most comprehensive to date, and includes the ability to define nested, parameterized modules. Within a module, predicates can be defined by clauses local to that module and by imports from any number of other modules. Finally, an extension to facilitate Simula-style classes is provided
THE MOMENTUM EFFECT: ANOMALY OR ILLUSION

This paper tests the effectiveness of the momentum strategy for different time horizons between April 2013 and March 2020 and its sources in the Tunisian stock market. The findings display that, employing the methodology of Jegadeesh and Titman (1993), momentum strategy for all time horizons are positive and statistically significant. In the explanation section of the momentum effect, it is found that the momentum is not an illustration of the January effect and that both models (Capital Asset Pricing Model and the model of Fama and French (1993)) are unable to fully capture the profit of momentum strategy. However, we find that trading costs in the form of quoted spread eliminate the statistical significance of the momentum return. Therefore, an investor can’t make a profit by exploiting the momentum strategy in the Tunisian context.
A Review on Face Photo-Sketch Synthesis

— Face sketch synthesis is a process of creating a sketch from available face photograph. This process is widely used in law enforcement and digital entertainment. If some factors except the facial are not present in training set, but they are present in photograph like hairpin, hair style, glasses, then it becomes more difficult to handle. And existing methods fails if the photographs are of different background and size. This results to poor quality of sketches. For that purpose different approaches are proposed. And this paper contains a review of all existing approaches were used for face sketch synthesis.
Alternative Reforming Methods of Primary Tar Released from Gas Treatment of Biomass at Low Temperature for Development of Pyrolysis/Gasification Process

Primary tars produced from gas treatment in a low-temperature region were confirmed by thermogravimetric analysis of tar-mixed biomass that they would be easily handled by using simple reforming methods. A two-stage reactor was used to investigate the secondary reaction of light tar decomposition. The effect of air on light tar decomposition showed that gas products increased when the upper temperature was increased from 600 to 900 °C. When biomass char pyrolyzed to 900 °C was loaded in the upper reactor, the decomposition of light tar under inert atmosphere occurred by steam reforming to produce fuel gases even at a low temperature of 600 °C. When the upper temperature was increased to 800−900 °C, the yield of light tar significantly decreased and became almost zero because steam reforming and related reactions could proceed to produce CO and CO2 even in the case without biomass char. However, CO could be selectively obtained at the highest yield of 24.0 wt % because of the effect of catalytic char at a .
Indigenous Vegetables for Food and Nutritional Security in Andaman and Nicobar Islands, India

Indigenous vegetables have enormous potential to contribute in food and nutritional security in tribal or geographical challenged regions like Andaman and Nicobar Islands, India. The present paper reviews the work on indigenous vegetables in Andaman and Nicobar Islands for their potential in sourcing the dietary micronutrients and natural antioxidants for poor and marginal communities. These are highly preferred and frequently consumed vegetables by tribal and rural communities as compared to the exotic vegetables. Their easy accessibility, cost effectiveness, low pesticide or chemical uses and abundance in and around habitat make them preferred choice for the rural and tribal population. They are rich in micronutrients iron, calcium, zinc and copper and phosphorus and antioxidants like phenolics, carotenoids, ascorbic acid, anthocyanin, flavonoids and tannins. The survey of 120 respondents from 15 villages in all the three districts of the islands revealed the role of indigenous vegetables in traditional diets of indigenous tribes and rural communities in islands. However, respondents stressed the need to address the issues such as conservation, improvement, marketing and nutritive profiles of indigenous vegetables. For this a number of strategies are suggested in the paper, some of them are under way through collaborative network for research and development and extension. Shrawan Singh et al 504
Research Paradigm: A Philosophy of Educational Research

This paper attempts to provide insights on research paradigm as the philosophical foundation for educational research. The main purpose of writing this paper is to provide basic idea and knowledge about research paradigm to the prospective researcher with a claim as it is a philosophy of educational research. Different books and journal articles were consulted, reviewed and discussed to prepare this write up. After accumulating the idea and insights on research paradigms, the paper begins with the overview of research in terms of basic features. Then, it introduces about the research paradigms as the research philosophy and followed by the major components of research paradigms viz. ontology, epistemology, methodology and axiology. The key components of research paradigms are defined and discussed in terms of their basic premises in relation to the educational research contexts. Moreover, the paper also presents a brief discussion on the implications of research paradigms in educational research. Keywords— Axiology, epistemology, methodology, ontology, research paradigm, research implications.
Previous works about iris recognition stages

By increasing security requirements, biometric as a perfect solution for people identification is used. One of the biometrics which is considered as the most accurate and reliable method, is iris biometric. The iris biometric is about analysis of patterns in the iris texture. The operation can be done in several stages. Image acquisition, preprocessing and main processing including segmentation, normalization, feature extraction and matching are different stages of iris recognition. In this paper the previous works for different stages are proposed separately and classified, with the appropriate tables. Since there are many different methods for iris recognition, this survey covers some of the significant methods.
Modified nonlinear internal model control

A new internal model control structure, guaranteeing the offset free control, is proposed in this paper. The modified nonlinear internal model control requires only the inverse model of the plant, which considerably simplifies both design and implementation of the nonlinear control systems. Two inverse modelling techniques, requiring only the plant's input/output data, are investigated and successfully applied. One is based on the polynomial approximation and the least-squares method, and the other uses a feed-forward fully connected neural network and back-propagation algorithm.
Developing Teaching Material Bajo’s Local Wisdom Sea Preservation Thomson-Brooks/Cole Model

This research aims to identify the Bajo’s local wisdom in preservation sea and coastal area in the form of teaching material in the Basic Natural Science (BNS) focused on environment preservation. The type of research is research and development. Teaching material is arranged based on the principle and procedures of developing a 4-D model, there are: define, design, develop, and disseminate. Teaching material draft validated by two matter experts, one language experts, and one design expert. Teaching material draft tried to the Language and Literature Education students with 10 people in the small group and 40 people in the large group. The average validation results were 83.73% (very good) and did not need revision. Revised sections: cover, image source, chapter display, and change the unsuitable image. The small group student trials result obtained 80.68% (good) and large groups obtained 82.95% (good). The implication of this research is as an alternative solution to maintain and enhance the local wisdom value of the Bajo’s in preserving the sea and coast through teaching
Idiosyncratic Risk are not InterChangeable

A burgeoning literature investigates the association between firm-specific stock return variation (the dependent variable) and several aspects of firms’ information and governance structures. However, some papers in this literature use the variance of residual returns from a market model (σ ) as the measure of firm-specific return variation whereas others use return synchronicity, or R. Although, at first blush, these two variables appear equivalent, we show that the specific dependent variable used, σ or R, can lead to contradictory inferences depending on the degree of correlation between systematic risk (the complement of idiosyncratic return volatility) and the variable of interest, e.g., earnings quality or governance quality. Therefore, we caution researchers to not view σ or R as inter-changeable measures. _________________________ †Corresponding Author. We are grateful for financial support from the Fuqua School of Business, Duke University and the Goizueta Business School, Emory University. We thank Stephen Brown and Søren Hvidkjær for generously providing us with data on PIN measures. We appreciate helpful comments from Scott Dyreng, Frank Ecker, Henock Louis, Ken Merkley, Craig Nichols and workshop participants at National University of Singapore and Syracuse University.
Decreased lipoprotein (a) and serum high-sensitivity C-reactive protein levels in male patients with atherosclerosis after supplementation with ginger: A randomized controlled trial

BACKGROUND Although the antioxidant properties of ginger have been revealed, there is little available information on the effectiveness of ginger on inflammatory disorders such as atherosclerosis. This study was carried out to examine the effect of ginger on improving the complication of atherosclerosis. METHODS This study was a double-blind, placebo-controlled, randomized clinical trial conducted on patients with atherosclerosis. Participants in the ginger and control groups received 1600 mg of powdered ginger or placebo (wheat flour) in capsules daily for 8 weeks. Weight, body mass index (BMI), fasting blood sugar (FBS), cholesterol, triglyceride (TG), low-density lipoprotein (LDL), very-low-density lipoprotein (VLDL), high-density lipoprotein (HDL), lipoprotein (a) [Lp(a)], high-sensitivity C-reactive protein (hs-CRP), and total anti-oxidant capacity (TAC) were assessed before and after the intervention. RESULTS Ginger consumption in the intervention group significantly reduced serum Lp(a) level (27.25 ± 1.30 ng/ml vs. 23.57 ± 0.97 ng/ml) (P = 0.040) and also the level of hs-CRP in the intervention group was 1.90 ± 0.33 µg/ml and 1.24 ± 0.15 µg/ml (P = 0.010) before and after intervention, respectively, but the levels of Lp(a) and hs-CRP were not decreased significantly in the placebo group. The level of TAC in the ginger group was 0.71 ± 0.05 mM and after the trial was 0.57 ± 0.04 mM (P = 0.050); no significant differences were seen in TAC when ginger was administered at 1600 mg/daily for 60 days. Also the level of Lp(a) and hs-CRP but not TAC reduced significantly in ginger group compared to placebo group after intervention. CONCLUSION This study showed that ginger had anti-atherosclerosis and anti-glycemic properties associated through a significant decreased Lp(a) and FBS in patients with atherosclerosis supplemented with ginger.
RF Front End for an SDR-based Community Network in the 700 MHz Band

—This paper presents the design of an RF front end for a base transceiver station implemented with a commercial general purpose software deﬁned radio board. This front end helps to decrease the total cost of deploying community networks and the contribution of this paper is to disclose its project and simulation results, as well as discuss the aspects that inﬂuenced its design decisions.
Deep Learning application for fraud detection in ﬁnancial statements

Financial statement fraud is an area of signiﬁcant consternation for potential investors, auditing companies, and state regulators. Intelligent systems facilitate detecting ﬁnancial statement fraud and assist the decision-making of relevant stakeholders. Previous research detected instances in which ﬁ-nancial statements have been fraudulently misrepresented in managerial comments. The paper aims to investigate whether it is possible to develop an enhanced system for detecting ﬁnancial fraud through the combination of information sourced from ﬁnancial ratios and managerial comments within corporate annual reports. We employ a hierarchical attention network (HAN) with a long short-term memory (LSTM) encoder to extract text features from the Management Discussion and Analysis (MD&A) section of annual reports. The model is designed to o ﬀ er two distinct features. First, it reﬂects the structured hierarchy of documents, which previous models were unable to capture. Second, the model embodies two di ﬀ erent attention mechanisms at the word and sentence level, which allows content to be di ﬀ erentiated in terms of its importance in the process of constructing the document representation. As a result of its architecture, the model captures both content and context of managerial comments, which serve as supplementary predictors to ﬁnancial ratios in the detection of fraudulent reporting. Additionally, the model provides interpretable indicators denoted as “red-ﬂag” sentences, which assist stakeholders in their process of determining whether further investigation of a speciﬁc annual report is required. Empirical results demonstrate that textual features of MD&A sections extracted by HAN yield promising classiﬁcation results and substantially reinforce ﬁnancial ratios.
Locomotor Activities of Adult Zebrafish (Danio rerio) Under the Influence of Pranic Energy: Controlled Study

Movement plays an important role throughout the lifespan of every moving organism. In scientific experimentation, Zebrafish (Danio rerio) is a popular model organism due to their genetic attributes similar to humans and rapid development. Pranic energy comprises the natural method of projecting prana (Vital energy) which keeps the plants and animals healthy and alive. The present study aims to investigate the impact of pranic energy on locomotory performance of adult zebrafish. Controlled experimental design has been used in this study. Pranic group received the Pranic healing techniques for fish, food, and water to reinforce the energy in them, non pranic treated fishes were referred as the control group. Locomotor behaviour of individual fishes was performed by exposing in an open area for 5 minutes and parameters including average speed, mobile speed, total distance travelled, mobility rate and exploratory rate were measured and analysed by Tox-Track tracking software. Pranic treated zebrafishes (46) had increased average speed of 8.77 mm/s, mobile speed of 8.15 mm/s and total distance travelled of 32.050m and the results were found to be significant (p<.001), when compared to control group (43). Thus pranic energy helps in enhancing the locomotory performance of adult zebrafish.
Effects of Video Filters for Learning an Action Recognition Model for Construction Machinery from Simulated Training Data

In the construction industry, construction machinery are an important factor in the overall productivity and efficiency of a worksite. Thus, emphasis is put on the monitoring of actions conducted by construction machinery. This was traditionally done manually by humans, which is a timeconsuming and laborious task. Automatic action recognition of construction machinery is therefore needed. The field of action recognition is predominantly occupied by Deep Learning approaches and several previous works focused on adapting such approaches for construction machinery. However, the issue of obtaining training data is particularly troublesome for construction machinery. Our previous work proposed a Deep Learning method for learning an action recognition model from training data generated in a simulator using video filters but the precise contributions of the introduced video filter were unclear. The purpose of this study is therefore to clarify the effects of video filters for learning an action recognition model for construction machinery from simulated training data.
A Research on Automatic Picture Classification and Image Retrieval

This paper presents an approach for classifying photos based on the image visual contents. Photos can be classified into faces and places. A face detector is used to extract faces from the photos, while a face recognizer is used to classify the detected faces. GPS information which is used to detect places is extracted from geo-tagged photos in a database by image matching. The reverse geo-tag technique enables to find keywords related to the place, and the keywords help to retrieve photos.
On the Age-of-Information of Buffer-Aided Truncated ARQ Receiver with Chase Combining

—In this work, we evaluate the average age-of-information (AoI) of a network composed of an internet-of-things (IoT) end-device (ED) transmitting randomly generated status updates to an access point (AP). More speciﬁcally, we elaborate on a recently proposed truncated automatic repeat request (TARQ) scheme, by considering a buffer-aided AP that is capable of combining retransmissions by means of the maximal ratio Chase Combining (CC) technique. While the average AoI of TARQ is a decreasing function of the generation probability p , we show that the proposed TARQ-CC scheme presents a more intricate relationship between its average AoI and p , which suggests that the generation probability can be optimized to minimize the AoI. Analytical and simulation results are presented, showing that TARQ-CC is capable of achieving considerably lower AoI than TARQ, without requiring any increase in the ED complexity.