Miracle-dz/UniFAR-FTUs huggingface dataset:
The complete mitochondrial genome of Neolissochilus benasi (Cypriniformes: Cyprinidae)

Abstract In this study, the complete mitochondrial genome of Neolissochilus benasi has been determined by polymerase chain reaction method for the first time. The overall base composition of N. benasi mitogenome is 31.8% for A, 27.4% for C, 15.9% for G and 25.0% for T. The percentage of G + C content is 41.3%. The mitogenome is a circular DNA molecule of 16 583 bp in length with a D-loop region and contains 22 transfer RNA (tRNA) genes, two ribosomal RNA (rRNA) genes and 13 protein-coding genes. The mitochondrial genome sequencing for N. benasi in this study provides important molecular data for further evolutionary analysis for Cyprinoidea.
A Survey on the Micro-Phasor Measurement Unit in Distribution Networks

The Micro-Phasor Measurement Unit ( μ PMU) or distribution-level PMU (D-PMU) is a measurement device that measures the synchronized voltage and current values of electric power distribution networks. The synchronized data obtained by μ PMUs can be used for monitoring, diagnostic, and control distribution network applications, so that operators can understand the dynamic states of the distribution network in real-time. In this paper, we review the state-of-the-art μ PMU research which includes a list of μ PMU applications, monitoring and diagnostic functions, control applications, and optimal placement of the μ PMU. In addition, we analyze the benefits of μ PMUs in distribution networks; in particular, their reliability and resiliency, cost savings, and environmental and policy benefits.
Motivated or informed? Chinese undergraduates’ beliefs about the functions of continuous assessment in their college English course

ABSTRACT Continuous assessment (CA) is believed to have great potential for improving learning in higher education. Students’ beliefs about CA are a determining force for optimising CA’s formative potential. This study explored 27 Chinese undergraduates’ beliefs about CA functions in their college English course through individual semi-structured interviews. The findings reveal that more than half of the participants noticed the judgemental function of CA. The majority valued CA as an external force that motivated them to learn. Fewer than half believed that CA informed their learning. It is argued that this perceived strong extrinsic motivational function and weak informing function might constrain the participants’ sustainable learning improvement. The findings show that the participants’ beliefs about CA functions were ecologically rational. The macrosystem (China’s education system and examination culture) and exosystem (university assessment policy) enhanced the participants’ recognition of CA as a motivator. Further, the microsystem (lecturer feedback and grading practices) and chronosystem (students’ transition from high school to university) contributed to their lower awareness of CA as a useful feedback source.
Line-of-Sight of Reflectors Reconstruction and Stabilization Technique based on Fastest Differential Tracker

In order to overcome the shortcomings of half-angle reflectors mechanism stabilization configuration, we study the Line-of-Sight (LOS) of reflectors reconstruction and stabilization technique. A LOS reconstruction and stabilization configuration of reflectors is designed and modeled. Firstly, we design the Fastest Differential Tracker (FDT) to estimate relative angular rates, then propose a two-coordinate modeling method that is easy to analyse disturbance isolation performance, thirdly we study the control system isolation deegree to the measurement noise and carrier disturbance. The simulations indicate that FDT has superior performance in tracking speed, noise suppression and steady state vibration suppression, and that the stabilization accuracy, in consideration of both noise and carrier disturbance, is about 70μrad(1σ). The experimental results show that reflector platform stabilization accuracy based on LOS reconstruction configuration is about 80μrad(1σ).
Local Community and Policy Maker Perspectives on Sustainable Livelihoods, Tourism, Environment, and Waste Management in Siem Reap/Angkor Cambodia

Siem Reap/Angkor Archaeological Park is a United Nations Educational, Scientific and Cultural Organization (UNESCO)-recognised World Heritage site since 1992 and is a large operational site of enormous religious, cultural and economic importance as it generates revenue from tourism. Increased tourism has negatively impacted not only the environment but also social, cultural and economic circumstances, presenting a complex challenge for communities and policy makers. Additionally, urban expansion has stressed water resources and increased waste, adversely impacting the lives of communities and potentially threatening the Angkor temples, which are dependent upon the natural hydrological system to support these structures. Communities value the opportunities created by the tourism sector but are experiencing disenfranchisement from the policy making processes. Due to the heavy reliance on the revenue generated from tourism, policy makers are under pressure to increase tourism whilst also challenged with maintaining the supporting infrastructure. This paper examines public policy frameworks in Cambodia and argues that sustainable livelihood, tourism, environment, water and waste management are interconnected and require better community engagement in public policy making processes. The paper employs a qualitative research method and has incorporated the perspectives of policy makers and local communities in Siem Reap/Angkor. It concludes that policy makers need to incorporate the concerns IJAPS, Vol. 16, No. 1, 1–37, 2020 Local Community and Policy Maker Perspectives 2 of local communities, as tourism cannot be developed in isolation given its links with local livelihoods, and urgent attention is required to better manage services needed for locals and tourists.
Automatic Classification for Ground Targets under Complex Background Based on Bag of Words Model

In order to improve the performance of the automatic classifier for ground targets under complex background, a new classifier which was based on bag of words model and support vector machine (SVM) was build. Firstly, the keypoints of a target image were extracted into vectors by using Scale-Invariant Feature Transform algorithm, and vectors which were extracted from all trained images were merged into large vectors. Secondly, the large vectors were clustered into small vectors which included K vectors by using K-means clustering algorithm. To analyze how different values of K affected the classifying results, K was set to several different numbers. Thirdly, vectors which were extracted from all trained images were classified, and K-dimensional numerical vectors were obtained. Finally, the classifier was build with SVM algorithm, and the K-dimensional vectors were as input features of the classifier. The training images were randomly chosen from 90% of images dataset which included missile launch vehicles and tanks, and the rest 10% were as the testing images. The trained classifier is tested, and the f1-score value is 0.79. The results show that the new classifier can perform well.
A benchmark of protein solubility prediction methods on UDP-dependent glycosyltransferases

UDP-dependent glycosyltransferases (UGTs) are enzymes that glycosylate a wide variety of natural products, thereby modifying their physico-chemical properties, i.e. solubility, stability, reactivity, and function. To successfully leverage the UGTs in biocatalytic processes, we need to be able to screen and characterise them in vitro, which requires efficient heterologous expression in amenable hosts, preferably Escherichia coli. However, many UGTs are insoluble when expressed in standard and attempted optimised E. coli conditions, resulting in many unproductive and costly experiments. To overcome this limitation, we have investigated the performance of 11 existing solubility predictors on a dataset of 57 UGTs expressed in E. coli. We show that SoluProt outperforms other methods in terms of both threshold-independent and threshold-dependent measures. Among the benchmarked methods, only SoluProt is significantly better than random predictors using both measures. Moreover, we show that SoluProt uses a threshold for separating soluble and insoluble proteins that is optimal for our dataset. Hence, we conclude that using SoluProt to select UGT sequences for in vitro investigation will significantly increase the success rate of soluble expression, thereby minimising cost and enabling efficient characterisation efforts for biocatalysis research.
Atmospheric oxidation of 2-fluoropropene (CH3CFCH2) with Cl atom and aerial degradation of its product radicals by computational study

A detailed atmospheric degradation study of the 2-fluoropropene (2-FP) molecule initiated by various oxidants is essential as it is released due to various applications. So, in this manuscript, we have examined the Cl-atom initiated H-abstractions from 2-FP and Cl-atom addition to α- and β-carbons of 2-FP using the MP2/6-31+G(d,p) level of theory. Here, we have explored all the reaction species along with intermediates and transition states of the 2-FP + Cl reaction on the potential energy surface (PES). Enthalpy and Gibb's free energy changes of all reaction channels are determined to understand their nature and feasibility. PES and thermo-chemistry results indicate that all the reaction channels are exothermic and feasible but H-abstraction from the α-carbon of 2-FP by Cl-atom is thermodynamically more dominant. On the other hand, kinetic and subsequent branching ratio calculation results show that Cl-atom additions to α- and β-carbons of 2-FP are kinetically more dominant than H-abstraction channels. Our calculated overall rate constant at 298 K and 1 atm is found to be 1.07 × 10−10 cm3 molecule−1 s−1, which is in good agreement with the experimental overall rate. The atmospheric lifetime of 2-FP is found to be 10.8 days, which signifies the very short lifetime and negligible effect on the global warming potential. Moreover, aerial degradation of Cl-atom addition product radicals in the presence of NO radicals is further carried out at the same level of theory. From this investigation, we have obtained 2-chloroacetyl fluoride (CF(O)CH2Cl), carbonic chloride fluoride (CFCl(O)) and formaldehyde (HCHO) as more stable end products.
On the forecasting of high‐frequency financial time series based on ARIMA model improved by deep learning

Through empirical research, it is found that the traditional autoregressive integrated moving average (ARIMA) model has a large deviation for the forecasting of high‐frequency financial time series. With the improvement in storage capacity and computing power of high‐frequency financial time series, this paper combines the traditional ARIMA model with the deep learning model to forecast high‐frequency financial time series. It not only preserves the theoretical basis of the traditional model and characterizes the linear relationship, but also can characterize the nonlinear relationship of the error term according to the deep learning model. The empirical study of Monte Carlo numerical simulation and CSI 300 index in China show that, compared with ARIMA, support vector machine (SVM), long short‐term memory (LSTM) and ARIMA‐SVM models, the improved ARIMA model based on LSTM not only improves the forecasting accuracy of the single ARIMA model in both fitting and forecasting, but also reduces the computational complexity of only a single deep learning model. The improved ARIMA model based on deep learning not only enriches the models for the forecasting of time series, but also provides effective tools for high‐frequency strategy design to reduce the investment risks of stock index.
India’s Act East Policy and ASEAN: Building a Regional Order Through Partnership in the Indo-Pacific

Over the past few decades, India’s security concerns have undergone a substantial change. With the formulation of the Look East Policy (LEP) in the 1990s, the Association of Southeast Asian Nations (ASEAN) as a regional entity became an essential component and a corridor for India’s outreach to Southeast Asia. In 2014, the LEP became more encompassing with a shift to the Act East Policy (AEP). The global security and economic environment too are witnessing significant changes with the USA taking a back seat, China’s aggressive positioning and the Belt and Road Initiative (BRI) coupled with the emerging geopolitical construct of ‘Indo-Pacific’. The regional stakeholders, such as ASEAN, the USA, Japan, Australia and India are yet to form a unified stand on the Indo-Pacific concept as well as the regional security architecture. The AEP appropriately fits into the current scenario as India is set to take up a larger role in the regional security environment while keeping the centrality of ASEAN intact. New Delhi seeks to create a platform for mutual development in the Indo-Pacific and engage with like-minded nations in the quest for a rules-based order that promotes transparency, respect for sovereignty and international law, stability and free and fair-trade framework. India and ASEAN can be apt partners in the Indo-Pacific to play a constructive role and build a regional order.
A rare mesentric tumor “paraganglioma” – a case report

Paraganglioma are rare type of neuroendocrine tumors that arise from embryonal neural crest. Paraganglioma of adrenal medulla is known as Pheochromocytoma. Extra adrenal localization has incidence of 2-8 per million people per year, which can extend from upper cervical region to pelvis related to autonomic nervous system. Even rarer is occurrence of paragangliomas outside the usual distribution of paraganglionic tissue. Mesenteric paragangliomas are extremely rare. The present case was of a non-functional extra adrenal paraganglioma occurring in a 43-year-old male presented with complain of pain in abdomen and mild discomfort. Abdominal CECT revealed well defined enhancing solid mass with central necrosis in right side of mesentry. Explorative laparotomy and surgical excision were done, on histology typical “zellballen” pattern was found. Paragangliomas are rare neuroendocrine tumor known to store and secrete catecholamines and hence are known as functional paragangliomas and may present with symptoms like headache, sweating, palpitations and hypertension. On other hand, they may remain silent and non-functional and present with vague symptoms like pain abdomen due to episodic release of catecholamines. Surgical excision is treatment of choice. Long term follow up is mandatory as tumor is prone to recur and metastasize.
IN VITRO PROPAGATION PROTOCOL OF JASMINUM POLYANTHUM USING INDIRECT ORGANOGENESIS

Jasminum polyanthum is an important ornamental plant belonging to the Oleaceae family. Both shoot tip and leaves were used as explant for the induction of shoots via indirect organogenesis. For callus induction, explants were excised from field grown mature plants and thereafter incubated on MS basal medium supplied by 1.0 mg/l BA supplemented with various concentrations of 2,4-dichlorophenoxyacetic acid (2,4-D) at 0.0, 1.0, 2.0, 4.0 and 6.0 mg/l. Maximum percentage of callus induction from both explants was procured by the application of 2,4-D at 2.0 mg/l. Significant release of callus induction was swelled from leaf explants when compared to shoot tips at different 2,4-D levels. For the proliferation stage, induced callus was transferred into MS supplemented with BA at 0.0, 1.0, 2.0 and 3.0 mg/l along with NAA at 0.0, 0.5 and 1.0 mg/l. The maximum percentage of shoot proliferation per culture was achieved from callus cultured in 1.0 mg/L BA along with 0.5 mg/l NAA. For rooting, microshoots were treated with either IBA or IAA at 0.0, 0.5, 1.0 and 2.0 mg/l. Maximum rooting formation (Number and length) was recorded by the application of IBA at 2.0 mg/l. For acclimatization, the complete plantlets grown in pots filled with peat moss + vermiculite was suitable for 91% plantlets to survive.
Технологія і безпека продуктів харчування / Technology and safety of food products

This study proves the advantages of combining duck meat of regional origin with other proteinic raw materials in meat-containing semi-smoked sausages. The model for the formulation and the technology of combining duck meat of regional origin with other types of raw materials was a recipe for semi-smoked sausage containing duck meat, semi-fat pork, mid-back pork fat, and spices. The formulations developed contained meat of Peking duck, pork hearts (instead of semi-fat pork), soybean isolate, demineralised whey powder, chicken skin, and soluble dietary fibre. In the model samples of smoked sausage, the parameters studied were the qualitative characteristics, indicators of microbiological safety, nutritional and biological value. The analysis of the results of the sensory evaluation has confirmed that combining Peking duck meat with protein preparations of different origins improves the appearance of the products, their taste and smell, texture and colour. Studying the microbiological parameters of the sausages developed has indicated that the number of mesophilic aerobic and facultative anaerobic microorganisms (MAFAM) in all the samples tested was within the normal limits. The study of the number of bacteria of E. coli group has not detected these microorganisms in any of the samples. The analysis of the nutritional value of the products has allowed proving that the meat-containing semi-smoked sausages developed are high in protein, have low fat concentrations, and are low-calorie food. Combinations of protein ingredients of different origins can increase the protein content in the products developed by 29.98–31.69%, and reduce the mass fraction of fat by 31.18–35.64%. The product’s high biological value by the content of essential amino acids has been confirmed, as well as the biological effectiveness by the content of fatty acids of the ω-6 and ω-3 families. It has been determined that when Peking duck meat in meat-containing semismoked sausage is combined with non-meat types of protein-containing raw materials (pork hearts, soybean isolate, demineralised whey powder), it allows producing nutritious products with high quality characteristics.
Cognitive computing on unstructured data for customer co-innovation

This paper aims to build on the latest advances in cognitive computing techniques to systematically illustrate how unstructured data from users can offer significant value for co-innovation. ,The paper adopts a general overview approach to understand how unstructured data from users can be analyzed with cognitive computing techniques for innovation. The paper links the computerized techniques with marketing innovation problems with an integrated framework using dynamic capabilities and complexity theory. ,The paper identifies a suite of methodologies for facilitating company co-innovation via engaging with customers and external data with cognitive computing technologies. It helps to expand marketing researchers and practitioners’ understanding of using unstructured data. ,This paper provides a conceptual framework that divides co-innovation process into three stages, ideas generation, ideas integration and ideas evaluation, and maps cognitive computing methodologies and technologies to each stage. This paper makes the theoretical contributions by developing propositions from both customer and firm perspectives. ,This paper can be used for companies to engage consumers and external data for co-innovation activities by strategically select appropriate cognitive computing techniques to analyze unstructured data for better insights. ,Given the lack of systematic discussion regarding what is possible from using cognitive computing to analyze unstructured data for co-innovation. This paper makes first attempt to summarize how unstructured data can be analyzed with cognitive computing techniques. This paper also integrates complexity theory to the framework from a novel perspective.
MIMBY (Maybe in my backyard): a community development approach to providing treatment for adult sex offenders in the north region of B.C.

This report details the experience of worldng in partnership with a non-profit community corrections agency to address the issue of adult sex offender treatment in northern B.C. communities. A community development approach was used to research treatment and community needs specific to the north region, and to design a comprehensive program proposal in response to those findings . Needs were assessed by two methods. First, the specific needs of the offenders themselves were evaluated. Probation officers completed a caseload analysis survey form for a sample of 69 sex offenders on probation during a 2-month snapshot period. The second part of the project involved extensive consultation with a total of 56 service providers from eight different communities across the north region. The primary client groups served by the participants included not only offenders, but also the victims and families of offenders. Aboriginal-serving organizations, and the areas of law enforcement and the justice system were also represented. Data were gathered through a combination of Delphi group, focus group, and individual interview techniques. The results, at the very least, confirmed the need for additional sex offender treatment programs in the north region. Beyond that, it was established that both direct service and community development components are necessary to meet the conditions of safety, effectiveness, community-sensitivity, and sustainability. Such a program would be more likely to be supported and accepted by local professionals in a range of human services, and by the larger community. Ultimately, it would be more effective in fostering a sense of collective responsibility for the prevention of sexual violence. The final program design reflects the belief that sex offenders cannot be treated in isolation of the community in which they live, and that, in order to be effective and cost-efficient, the pro gram must be "locally-delivered and regionally focused".
A survey of Psychiatric Disorders and Their Comorbidities in Children and Adolescents

Background: This community-based study aimed to investigate the psychiatric disorders and their comorbidities according to the kind of psychiatric disorders. Frequency of demographic factors and the prevalence of total psychiatric disorders in term of demographic charactheristics were obtained too. Materials and Methods: The present study focused on 1028 children and adolescent aged 6 to 18 years old across the Razavi Khorasan province by random sampling. The subjects included 496 boys and 532 girls from three age groups (6-9 years, 10-14 years and 15-18 years). Eight clinical psychologists trained to complete the Persian version of K-SADS-PL (Kiddie-SADS present and life time version). This scale measures five diagnostic appendixes of psychiatric disorders. Demographic data of participants were collected too. The data were recorded into the SPSS version 16. The relationship between psychiatric disorders and demographic factors deliberate by descriptive analysis and 95% confidence interval. Results: The total rate of psychiatric disorders among children and adolescent was estimated as 20.5%, elimination disorders with a rate of 12.9% was the most prevalent disorder in the subjects. The lowest prevalence belongs to psychotic disorder and bulimia nervosa (0.1%). Of participants with mood disorders about 71.4% have behavioral disorders too. Anxiety disorders also commonly occurred in person with mood disorders. The comparison of ORs and their 95% confidence interval revealed that there is a significant difference for total psychiatric disorder among boys and girls (OR=0.6 for girls; 95% CI: 0.44-0.82). The rate of total psychiatric disorders in rural and urban areas was 14.9% and 21.1% respectively. Conclusion: With attention to the high prevalence of psychiatric disorders among children and adolescents, it’s necessary that healthcare officials pay more attention to reinforcement of mental health care.