Miracle-dz/UniFAR-FTUs huggingface dataset:
MOLECULAR PHYLOGENY OF MACROSOLEN (BLUME) RCHB. (LORANTHACEAE) FROM VIETNAM BASED ON MOLECULAR DATA

Khám phá mối quan hệ phát sinh loài giữa các đơn vị phân loại cung cấp thông tin quan trọng cho khoa học. Nghiên cứu phát sinh loài của chi Macrosolen được thực hiện dựa trên bộ dữ liệu phân tử của 27 mẫu nghiên cứu với năm vùng DNA bao gồm các gen lục lạp rbcL, matK, và trnL-F và gen nhân (SSU rDNA và LSU rDNA). Các phương pháp Maximum likelihood (ML) và Bayesian inference (BI) được sử dụng để xây dựng cây phát sinh loài. Các kết quả phân tích dữ liệu phân tử ủng hộ mạnh mẽ rằng Macrosolen không phải là đơn phát sinh với hai nhánh phát sinh chính trong chi này. Sự đan xen vào nhau của ba chi Elytranthe, Lepidaria và Macrosolen trên cây phát sinh được ghi nhận là tương đồng với dữ liệu hình thái, phân tử và sự phân bố của chúng, tuy nhiên cần nghiên cứu thêm để giải quyết rõ ràng các ranh giới cho một sắp xếp phân loại chắc chắn cho ba chi. Loài đặc hữu M. bidoupensis của Việt Nam có quan hệ di truyền gần gũi với M. tricolor dựa trên dữ liệu phân tử. Nhìn chung, các mẫu Macrosolen ở Việt Nam có sự tương đồng di truyền với các mẫu của chi này từ các nước khác.
Rhizosphere Soil Microbial Survival States and N-Related Process during Riparian Plant Dormancy: Influences of Plant Locations and Plant Species

The plant dormancy period in the riparian zone affects the activity of microorganisms and their related nitrogen (N) process, which necessitates an investigation of the influence of the dormancy period on the microbial community. This study sampled two groups of soils (ashore and offshore soils) of two typical plants (Acorus calamus, Canna indica) in rhizosphere soils and bulk soils during the dormancy period to study the microbial communities. The results suggested that in ashore soils, especially in Canna indica soils, there was a lower abundance of N-related genes (4.79 × 106 copies/g) due to relatively competitive ecological niche competition because of possible sufficient substrate. Therefore, microbial communities still play a major role in the removal of N-related nutrients during plants’ dormancy period. In addition, the results also showed that during the plant dormancy period, the cell necrosis processes accounted for relatively lower proportions (15.75%, 7.54%, 21.46%, and 5.23% in ashore and offshore Canna indica and ashore and offshore Acorus calamus, respectively), suggesting an unexpected fairly strong microbial survival ability in the dormancy period compared to the commonly expected weak microbial state. This high microbial vitality provides us insight into the restoration of riparian soils during the plant dormancy period.
Inviscid boundary conditions and stability of viscous boundary layers

We study the set of residual boundary conditions for a one-dimensional hyperbolic system of conservation laws set in x> 0 which appears when the diffusion coefficient of Dirichlet's problem for a parabolic perturbation tends to zero. We show that this set is a submanifold in a vicinity of a point where the Evans function of the associated profile of boundary layer is such that D(0) = 0. Next we linearize a multidimensional hyperbolic problem about a constant state in the set of residual conditions and a viscous approximation about the associated profile of boundary layer. We show that the Evans function for the viscous problem reduces in the long-wave limit to the Lopatinsky determinant. We deduce that inviscid well-posedness is necessary for stability of the boundary layer.
The Effect of Insulin Resistance on Ovulation Induction With Clomiphene Citrate in Non-polycystic Ovary Syndrome (PCOS) Women

Objective To study the status of insulin resistance (IR) in non-polycystic ovary syndrome (PCOS) infertile women and to assess its effects on response to ovulation induction (OI) with clomiphene citrate (CC). Methods and materials A prospective cohort study was conducted at the Department of Obstetrics and Gynecology, King George Medical University, Lucknow, India, over a one-year period. One hundred two women who underwent treatment for infertility were enrolled and evaluated for insulin resistance. Insulin resistance was assessed using fasting serum insulin levels and the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) index. All participants were given ovulation induction with clomiphene citrate and were then followed up for the occurrence of ovulation and conception. Results Insulin resistance was found in 20.5% of infertile subjects and 95.4% of anovulatory subjects. Of the subjects with insulin resistance, 80.5% showed monofollicular development. The pregnancy rate was 5.8%, but there was no conception among subjects with insulin resistance. Conclusions Insulin resistance was found to be present in 20.5% of infertile women. Women with insulin resistance are more likely to have monofollicular development on ovulation induction and are less likely to conceive as compared with women without insulin resistance (OR = 0.2079).
EVALUATION OF THE JUMAT TAQWA PROGRAM (JUMTAQ) TO CONSTRUCTING THE RELIGIOUS CHARACTER OF STUDENTS

This study describes the Evaluation of the Jumat Taqwa Program at SMAN 13 Pandeglang. The purpose of this study is to evaluate the Jumat Taqwa program, which is routinely held every Friday morning at SMAN 13 Pandeglang as a consideration for the student and spiritual fields, to take policies regarding the development of character education in schools. This study uses a qualitative descriptive method with the evaluation model used is Countenance Stake. The result of this study is that the Jumat Taqwa program (JUMTAQ) at SMAN 13 Pandeglang received a good response from the students. This can be seen based on the percentage of students who agree and are enthusiastic about participating in the Jumtaq program, 89%. The average answer of students in the aspect of aqidah after participating in the Jumat taqwa program 92% said consistently, and 8% often said, in the element of morality there were 78% always, 14% usually and 8% sometimes, while in the aspect of increasing knowledge of fiqh the answers were obtained Yes by 87% and No by 13%. Based on the study results, the Jumat Taqwa program made a positive contribution to the cultivation of the religious character of students.
Leguminosas e adubação mineral como fontes de nitrogênio para o milho em sistemas de preparo do solo

O nitrogenio e um nutriente requerido em grande quantidade pelo milho. O solo tem limitada capacidade de atender a esta demanda, sendo por isto utilizadas outras fontes de N como leguminosas e adubacao mineral. A combinacao destas duas fontes de N pode contribuir para a sustentabilidade do agroecossistema. Com o objetivo de avaliar a disponibilidade de N em sistemas de preparo do solo e cultura, foi realizada esta pesquisa, utilizando um experimento de longa duracao na UFRGS (RS) em um Argissolo Vermelho-Escuro distrofico. Os tratamentos utilizados foram tres sistemas de preparo: convencional, reduzido e direto; tres sistemas de cultura: aveia/milho, aveia + ervilhaca/milho + caupi e ervilhaca/milho, e tres doses de N: 0, 90 e 180 kg ha-1 aplicadas em cobertura no milho. A associacao do sistema plantio direto com o uso de leguminosas foi eficiente em promover o aumento do estoque de N total no solo. Embora tenha sido constatada maior velocidade de decomposicao de residuos no preparo convencional do que no plantio direto, ambos os sistemas apresentaram potencial de sincronismo da liberacao de N dos residuos com a demanda do milho. Esta cultura no sistema plantio direto apresentou menor producao de materia seca e absorcao de N do que no preparo convencional, porem nao houve diferenca no rendimento entre estes sistemas de preparo. A equivalencia em fertilizante nitrogenado foi estimada em 55 e 38 kg ha-1, respectivamente, para a ervilhaca e aveia + ervilhaca.
Satisfaction and Quality of Life of Healthy and Unilateral Diseased BRCA1/2 Pathogenic Variant Carriers after Risk-Reducing Mastectomy and Reconstruction Using the BREAST-Q Questionnaire

Risk-reducing mastectomy (RRM) is the most efficient form of breast cancer (BC) risk reduction in BRCA1/2 pathogenic variant (pV) carriers. However, this intervention in physical integrity is associated with significant morbidity. We assessed long-term perception of satisfaction and health-related quality of life (QoL) after bilateral RRM and reconstruction using the validated BREAST-Q. We searched the prospective database of the Center for Hereditary Breast and Ovarian Cancer Cologne for previvors and survivors who underwent bilateral RRM from 1994 to 2015 and evaluated the results of their BREAST-Q scores. The study enrolled 43 previvors and 90 survivors after a mean follow-up of 46.3 ± 45.3 months after RRM. Satisfaction and QoL were independent of the technique of RRM or type of reconstruction but depended on the time of RRM. Compared to survivors, previvors had significantly higher mean satisfaction scores in their psychosocial, sexual, and physical well-being (chest) in both modules. Among previvors and survivors, higher psychological well-being correlated with a higher satisfaction with information and higher satisfaction with outcome. As psychological well-being correlated with satisfaction with information and outcome, we developed decision aids to improve shared decision making and long-term satisfaction with the decision and the postoperative outcome.
Household Rituals and Merchant Caravanners: The Phenomenon of Early Bronze Age Donkey Burials from Tell eṣ-Ṣâfi/Gath, Israel

Simple Summary The goal of this study is to increase our understanding of the role of ritual in the domestic residences of commoners in early complex societies in the ancient Near East. Most archaeologists have concentrated their research on rituals taking place in the public and administrative areas of early cities (e.g., temples and palaces). However, the bulk of the population lived in simple domestic residences and were not involved in the public ritual displays except as onlookers. We present the results of our recent excavations at the Early Bronze Age site of Tell eṣ-Ṣâfi/Gath, Israel. Our excavations at the site have uncovered the remains of early domestic donkeys and other goods that were buried as the neighbourhood was constructed and houses were renovated. These provide insight into the role of ritual in everyday life for most people in these early cities. As the donkey burials are very limited in their location in these early cities, we propose that such residences were inhabited by merchant families. Abstract Most studies of ritual and symbolism in early complex societies of the Near East have focused on elite and/or public behavioural domains. However, the vast bulk of the population would not have been able to fully participate in such public displays. This paper explores the zooarchaeological and associated archaeological evidence for household rituals in lower-stratum residences in the Early Bronze Age (EB) of the southern Levant. Data from the EB III (c. 2850–2550 BCE) deposits excavated at the site of Tell eṣ-Ṣâfi/Gath, Israel, are illustrative of the difficulty in identifying the nature of household rituals. An integrated analytical approach to the architecture, figurines, foundation deposits, and domestic donkey burials found in lower-stratum domestic residences provides insights into the nature of household rituals. This integrated contextual perspective allows the sacred and symbolic role(s) of each to be understood and their importance for EB urban society to be evaluated.
The Role of Velocity-Based Training (VBT) in Enhancing Athletic Performance in Trained Individuals: A Meta-Analysis of Controlled Trials

Velocity-based training (VBT) is a rising auto-regulation method that dynamically regulates training loads to promote resistance training. However, the role of VBT in improving various athletic performances is still unclear. Hence, the presented study aimed to examine the role of VBT in improving lower limbs’ maximum strength, strength endurance, jump, and sprint performance among trained individuals. A systematic literature search was performed to identify studies on VBT for lower limb strength training via databases, including PubMed, Web of Science, Embase, EBSCO, Cochrane, CNKI (in Chinese), and Wanfang Database (in Chinese). Controlled trials that deployed VBT only without extra training content were considered. Eventually, nine studies with a total of 253 trained males (at least one year of training experience) were included in the meta-analysis. The pooled results suggest that VBT may effectively enhance lower limbs’ maximum strength (SMD = 0.76; p < 0.001; I2 = 0%), strength endurance (SMD = 1.19; p < 0.001; I2 = 2%), countermovement jump (SMD = 0.53; p < 0.001; I2 = 0%), and sprint ability (SMD of sprint time = −0.40; p < 0.001; I2 = 0%). These findings indicate the positive role of VBT in serving athletic training. Future research is warranted to focus on the effect of velocity loss of VBT on athletic performance.
ANALYSIS OF FACTORS AFFECTING POVERTYIN CENTRAL JAVA 2016-2019

Poverty is a common issue when discussing economic development. Central Java Province has a fairly high number of poor people and is in the 2nd position on Java Island. This study aims to analyze the effect of average length of schooling, population growth, and human development index on poverty. The data used is panel data obtained from BPS Central Java Province in 2016-2019, the method used is regression analysis of Fixed Effect model panel data with the help of the Eviews 10 application. The results show that the average length of school has a positive and insignificant effect. on poverty, HDI has a negative and significant effect on poverty and economic growth has a negative and insignificant effect on poverty.
Situation Representation and Strategic Reasoning Method of Hybrid Game System Based on Modified Hybrid Stochastic Timed Petri Net

The hybrid game system suffers from the constantly time-varying environment and the heterogeneous behaviors of decision-making subjects (players) when the hybrid situation emerges, bringing significant challenges to situation representation and strategic reasoning. With the help of the powerful modeling ability of hybrid systems for situation representation and reasoning in network topology, we propose the six-tuple hybrid game model based on modified hybrid stochastic timed Petri nets (M-HSTPN) to reveal the internal cross-level operating mechanisms. Then, we carry out the nonlinear mapping relationship between the hybrid game elements and the symbols of M-HSTPN. Taking the intelligent drones combat problem as an example, we compare differential game, event game, and proposed hybrid game scheme in pursuit–evasion trajectories, action timing, bombing sequence, and formation. The proposed M-HSTPN-based hybrid game scheme can effectively describe the constantly changing pursuit–evasion trajectories and select the action timing to reduce the energy consumption of interception and the target-missing quantity. Furthermore, the proposed hybrid game scheme can reason the optimal bombing sequence and narrow the scope of optimal formation through enriching payoff evaluation indexes with the current hybrid situation compared with the event game scheme and differential game scheme.
A Method to Evaluate Spectral Analysis by Spectroscopy

Visible and near infrared spectroscopy has been widely used to develop a method for rapidly determining organic carbon in soils or sediments (SOC). Most of these studies concentrated on how to establish a good spectral model but ignored how to evaluate the method, such as the use of detection range (max and min), resolution and error for SOC spectral analysis. Here, we proposed a method to evaluate the spectral analysis of SOC. Using 96 sediments sampled in the Yellow Sea and Bohai Sea, China, we established three spectral models of SOC after collecting their spectral reflectance by Agilent Cary 5000, ASD FieldSpec 4 and Ocean Optics QEPro, respectively. For both the calibration set and validation set in each spectrometer, the predicted SOC concentrations followed a distribution curve (function), in which the x-axis was the SOC concentrations. Using these curves, we developed these four technical parameters. The detection ranges were the SOC concentrations where the curve was near to or crossing with the lateral axis, while the detection resolution was the average difference between the two neighboring SOC concentrations. The detection errors were the differences between the predicted SOC and the measured SOC. Results showed that these technical parameters were better in the bench-top spectrometer (Cary 5000) than those in the portable spectrometers when analyzing the same samples. For the portable spectrometers, QEPro had a broader detection range and more consistent detection error than FieldSpec 4, suggesting that the low-cost QEPro performed as well as the high-cost FieldSpec 4. This study provides a good example for evaluating spectral analysis by spectroscopy, which can support the development of the spectral method.
Seeing the Harm to Happiness: Integrating Satisfaction With Life Into Restorative Practices

This article proposes an approach to intervening in harms that is based on the integration of positive psychology and restorative justice. We begin by reviewing the importance of interpersonal relationships to restorative justice. Next, we discuss harms as viewed in restorative justice. We then explore the concept and language of happiness through models of satisfaction with life (SWL) from positive psychology. We end the article by proposing the integration of models of SWL into the practices of restorative dialogue and the development of restoration plans.
LW-CMDANet: A Novel Attention Network for SAR Automatic Target Recognition

Deep-learning-based synthetic aperture radar automatic target recognition (SAR-ATR) plays a significant role in the military and civilian fields. However, data limitation and large computational cost are still severe challenges in the actual application of SAR-ATR. To improve the performance of the convolutional neural network (CNN) model with limited data samples in SAR-ATR, this article proposes a novel multidomain feature subspace fusion representation learning method, i.e., a lightweight cascaded multidomain attention network, namely, LW-CMDANet. First, we design a four-layer CNN model to perform hierarchical feature representation learning via the hinge loss function, which can efficiently alleviate the overfitting problem of the CNN model by a nongreedy training style with a small dataset. Then, a cascaded multidomain attention module, based on discrete cosine transform and discrete wavelet transform, is embedded into the previous CNN to further complete the class-specific feature extraction from both the frequency and wavelet transform domains of the input feature maps. Thus, the multidomain attention can enhance the feature extraction ability of previous nongreedy learning manner, to effectively improve the recognition accuracy of the CNN model. Experimental results on small SAR datasets show that our proposed method can achieve better or competitive performance than that of many current existing state-of-the-art methods in terms of recognition accuracy and computational cost.
Variational Bayesian inference for comparison Var(1) models

Suppose that we wish to determine which models in a candidate set are most likely to have given rise to a set of observed data. Then, it is well-established that, from a Bayesian viewpoint, evaluation of the marginal likelihood for each candidate is a crucial step to this end. For the purposes of model comparison, this will enable subsequent computation of both Bayes’ factors and posterior model probabilities. Given its evident significance in this area, it is thus regrettable that analytic calculation of the marginal likelihood is often not possible. To tackle this problem, one recent addition to the literature is the variational Bayesian approach. In this thesis, it is seen that variational Bayes provides efficient, accurate approximations to both the marginal likelihood and the parameter posterior distribution, conditioned on each model. In particular, the theory is applied to ranking sparse, vector autoregressive graphical models of order 1 in both the zero and non-zero mean case. That is, our primary aim is to estimate the unknown sparsity structure of the autoregressive matrix in the process. Moreover, approximate, marginal posterior information about the coefficients of this matrix is also of interest. To enable rapid exploration of higher-dimensional graphical spaces, a Metropolis-Hastings algorithm is presented so that a random walk can be made between neighbouring graphs. The scheme is then tested on both simulated and real datasets of varying dimension.
Mutation Testing of Quantum Programs: A Case Study With Qiskit

As quantum computing is still in its infancy, there is an inherent lack of knowledge and technology to test a quantum program properly. In the classical realm, mutation testing has been successfully used to evaluate how well a program's test suite detects seeded faults (i.e., mutants). In this article, building on the definition of syntactically equivalent quantum operations, we propose a novel set of mutation operators to generate mutants based on qubit measurements and quantum gates. To ease the adoption of quantum mutation testing, we further propose QMutPy, an extension of the well-known and fully automated open-source mutation tool MutPy. To evaluate QMutPy's performance, we conducted a case study on 24 real quantum programs written in IBM's Qiskit library. Furthermore, we show how better test suite coverage and improvements to test assertions can increase the test suites' mutation score and quality. QMutPy has proven to be an effective quantum mutation tool, providing insight into the current state of quantum tests and how to improve them.
Alteration of Plasma Amino Acid Concentrations in Iranian Children with COVID-19

COVID-19 is an acute viral disease that has so far infected more than 200 million and killed more than four million worldwide. It affects the immune system and other organs. Here, we investigated the level of free plasma amino acids in COVID-19 patients and compared them with non-COVID-19 subjects. We also compared amino acids levels in critically ill patients admitted to the intensive care unit (ICU) with non-ICU patients and expired and recovered patients. Twenty-six COVID-19 patients and 32 non-COVID-19 subjects were included in the study. The mean of glutamic acid, serine, glycine, threonine, phenylalanine, leucine, lysine, alanine, arginine, aspartic acid, and ornithine was significantly higher in cases than controls. In addition, the mean of glutamine was significantly lower in patients than controls (443.89 ± 254.31 vs. 651.73 ± 107.38, PV < 0.001). Low level of glutamine and isoleucine was seen in the majority of ICU and expired patients, respectively. Logistic regression analysis showed low level of isoleucine as a predictor variable in mortality (P = 0.02, EXP (B) = 16.5, and CI 95% = (1.48, −183.07)). There was a positive and significant relationship between some amino acids levels, serum liver enzymes, and sodium concentrations. There was also a significant but negative correlation between histidine levels, ESR, and ferritin. Phenylalanine had a highly positive relationship with serum procalcitonin in patients (R2 = 0.534, PV = 0.015). Our studies have shown the alteration of plasma amino acids concentration in COVID-19 patients. These changes are more evident in critically ill and at-risk patients.