Miracle-dz/UniFAR-FTUs huggingface dataset:
Attachment as a Predictor of Academic Competence in Preschoolers

Attachment is defined as the quality of the emotional bond between child~en I and their parents. Over the first years oflife, a mental representation of a parent's emotional availability develops, termed the Internal Working Model, which becomes generalized to other settings. Guided by this model, children process relationshipbased information, predict other's responsiveness, and modify their own behaviors to insure their attachment needs are met in the best way possible. While attachment has I I become a central theory of child socioemotional development, the purpose of th~ I current study was to extend the predictions from attachment to academic-related i I I outcomes. An additional goal was to examine the degree to which academic-specific ! parenting is associated with children's attachment and school functioning. Participants were 44 parents and their preschoolers, who completed assessments that measured the child's academic self-concept (via a puppet interview), parenting behaviors during a videotaped teaching task, and teacher report of early academic skills. Attachment was measured via Ainsworth's Strange Situation (1978), utilizing Crittenden's Preschooler Assessment of Attachment coding system (20Ql). Children were classified based on their predominant attachment strategy (A, B, C) and level of perceived risk (high A or C versus low A or C). The major finding for this project was that children classified as having Type C attachments had lower academic skills, according to teacher-report, than those :that were classified as either Type A or B. Type B children, because of their experiences with their primary caregivers, appear to have been able to give themselves wholly to the classroom experience. Their Internal Working Model likely guides them to perceive the school setting as positive in nature, allowing them to explore their environment freely and comfortably. Type A children, as predicted, also performed better in their academic skills than their Type C peers. Type A's were expected to do somewhat better academically because they likely attempt to please and perform for their teacher, just as they do with their parent. On the other hand, the C children ? ften ' did poorly academically. This is a result of their over-focus on their negative aff6ct, to I I the detriment of focusing on cognitive, exploratory activities.
Pharmacological activities of Cuscuta reflexa (Shwe-nwe) stem and Taraxacum officinale Weber ex F.H. Wigg. (Dai-Si) leaf extracts

Cuscuta reflexa (Shwe-nwe; SN) stem and Taraxacum officinale Weber ex F.H. Wigg. (Dai-si; DS) leaf were explored chemically and followed by antioxidant and antiproliferation activities determination. The samples were collected from Taunggyi University Campus, Taunggyi Township, Shan State in 2018. The preliminary phytochemical results showed that the presence of carbohydrate, flavonoids, glycosides, phenolic compound, reducing sugars, saponins, steroids, tannins, terpenoids, and organic acids are present in both samples. The samples (SN and DS) were observed to compose by protein (11.08 and 11.75%), moisture (26.0 and 8.59%), fat (2, 4 and1.81%), and fiber (14.08 and 10.81%) were found to be determined by using the AOAC method. In addition, the elements such as K, Cl, Fe, P and S are found as major elements in SN whereas Fe, K, Ca, Na, Si, Al, Mg in DS were found using ED XRF method. The total phenol contents were determined by Folin-Ciocalteu reagent (FCR) method. The total phenolic contents of MeOH and water extracts were 4.12, and 8.26 μg GAE/mg for SN and 2.13 and 1.04 μg GAE/mg for DS respectively. As pharmacological activities, the order of anti-proliferative effect against HepG2 cell line was observed to be methanol extract of DS (IC50=161.7 µg/ml) > SN (IC50= 183.7 µg/ml) by MTT assay. The antioxidant activity of DS ethanol extract (IC50 = 3.62 µg/ml) was found to be most potent and followed by DS methanol extract (IC50= 3.75 µg/ml), DS aqueous extract (IC50 = 4.48 µg/ml), SN methanol extract (IC50 = 5.81 µg/ml), SN aqueous extract (IC50 = 7.24 µg/ml), and SN ethanol extract (IC50 =12.21 µg/ml) determined by DPPH radical scavenging assay. Both samples possess significant pharmacological activities and potentially could be applied as herbal medicine.
Children and Adolescents’ Violence: The Pattern and Determinants Beyond Psychological Theories

Background: Violence may be assimilated to actions or words that are intended to hurt. Youth violence includes a wide range of aggressive acts that may vary from bullying and physical fighting, to most serious forms such as homicide. Africa and Latin America are the continents where the highest rates of youth violence and homicide are reported. For many years in the past, media violence exposure alone was incriminated for children violence, but as time went on, it became clear that children violence is more of a resultant to a combination of factors contributing with varying degrees according to age, the intensity of exposure to a predisposing factor and the individual’s predisposition or susceptibility to violence. This review aims to present in simple and accessible terms the various aspects of children and adolescents’ violence. Epidemiological and psycho-pathophysiological aspects are described, with emphasis laid on the various risk factors and possible preventive measures. Method: A review based on past and recent publications treating the subject was done. The literature was screened, with relevant information critically analyzed. Results: The recurrent predictive factors for children and adolescents’ violence found in the literature are: the exposure to media and community violence, drug use and abuse, neuropsychiatric and psychological disorders that manifest or worsen with violence, and inadequate parenting models. These predisposing factors are underlined by some other determinants such as gender, genetic and individual factors, culture, poverty, and peer effect or companionship principally. Conclusion: Violence in children is determined by intrinsic factors such as the developmental stage or age, individual’s susceptibility or natural predisposition, and environmental factors such as media and community influences. The most essential of the preventive measures are based on the reduction of the various risk factors and their determinants which may be achieved by parental, scholar and governmental regulations.
Opioid Use Disorder

Lifetime prevalence of a substance use disorder (SUD) has been estimated at 52.5% among veterans, with alcohol/drug and tobacco use disorders affecting 38.7% and 35.2% of veterans, respectively. [1] Combat exposure, PTSD and sexual trauma are risk factors for SUD and mental health problems. [2-4] Mental health conditions and SUDs frequently cooccur, and their presence increases the risk of suicide. [5] Approximately one-third to a half of patients seeking treatment for SUDs also meet criteria for PTSD, with some studies reporting even higher prevalence of [6] Since substances can be used to self-medicate symptoms of physical (e.g., chronic pain) or mental health (e.g., depression, anxiety, PTSD) conditions, or for stress coping, it is crucial to identify co-occurring mental health problems when assessing individuals for SUDs to ensure treatment of both conditions and increase the likelihood of a successful recovery.
Image and depth retrieval from single monocular images with various point spread functions

Depth estimation of a scene has important applications in fields such as autonomous systems, computer vision, and biological imaging. At the same time, recovery of the all-in-focus image is desirable to extract full information in the scene. The all-in-focus image together with the depth map allows for further post processing such as object detection and refocusing. Here, we explore passive approaches utilizing three different point spread functions (PSF) to 1) construct a depth map, and 2) recover an all-in-focus image from a single monocular image. Specifically, we compare qualitatively and quantitatively the performance of a conventional PSF, a coded aperture PSF, and a double helix PSF.
Detection of EGFR gene mutation in periphral blood of NSCLC patients in Yun‐ nan by Super-ARMS and its clinical significance

[基金项目] 国家自然科学基金资助项目(No. 8186110513);云南省科技计划资助项目(No. 2017FA037, No. 2017NS202)。 Project supported by the National Natural Science Foundation of China (No. 81860513), and the Science and Technology Project of Yunnan Province (No. 2017FA037, No. 2017NS202) [作者简介] 蔡静静(1993-),女,硕士生,主要从事肿瘤分子分型的研究,E-mail:546876045@qq.com [通信作者] 周永春(ZHOU Yongchun,corresponding author),博士,主任医师,硕士生导师,主要从事肿瘤分子分型的研究,E-mail:chun‐ gui7625@163.com Super-ARMS法检测云南地区非小细胞肺癌患者外周血中EGFR突变 及其临床意义
Individual Ethical Decision Making of Accounting Lecturers Between Idealism and Relativism in Tangerang

The objective of this research is to determine the influence of ethical philosophy that consist of idealism and relativism toward ethical awareness, ethical judgments, and ethical intentions of accounting lecturers in Tangerang. Based on the previous studies idealism was more influent ethical decision making in the stage of ethical awareness than relativism, but in the ethical judgments and intentions relativism was more influent vice versa.This study will use multiple regression analysis in the determination of which one has stronger influence between these two ethical philosophies (idealism or relativism). Idealism more influent ethical decision making in the stage of ethical awareness based on previous studies, and relativism stronger in the second and third stages ethical judgments and intentions. We will also use the expert opinion to determine of which ethical philosophy has stronger influence specifically to empowering ethical idealism influence at the ethical awareness.Ethical philosophy of idealism more influent ethical decision making at the first stage but after that it will not influent again at the following stages. In the second and third stages, the relativism has stronger influences. This phenomenon would describe that idealism has implemented in the ethical decision making as the ethical philosophy of relativism. Then relativism was the orientation of ethical philosophy of idealism in practice, those were ethical judgments, intentions, behaviour.
Source characterization of volatile organic compounds measured by PTR-ToF-MS in Delhi, India

Abstract. Characteristics and sources of volatile organic compounds (VOCs) were investigated with highly time-resolved simultaneous measurements by two proton-transfer-reaction time-of-flight mass spectrometers (PTR-ToF-MS) at an urban and a suburban site in New Delhi, India from January to March 2018. During the measurement period, high mixing ratios of VOCs and trace gases were observed, with high nocturnal mixing ratios and strong day-night variations. The positive matrix factorization (PMF) receptor model was applied separately to the two sites, and six major factors of VOCs were identified at both sites, i.e., two factors related to traffic emissions, two to solid fuel combustion, and two secondary factors. At the urban IITD site, traffic-related emissions comprising mostly mono-aromatic compounds were the dominant sources, contributing 56.6 % of the total mixing ratio, compared to 36.0 % at the suburban MRIU site. Emissions from various solid fuel combustion processes, particularly in the night, were identified as a significant source of aromatics, phenols and furans at both sites. The secondary factors accounted for 15.9 % of the total VOC concentration at IITD and for 33.6 % at MRIU. They were dominated by oxygenated VOCs and exhibited substantially higher contributions during daytime.
EVIDENCES OF INTERDEPENDENCY IN THE POLICY RESPONSES OF MAJOR CENTRAL BANKS: AN ECONOMETRIC ANALYSIS USING VAR MODEL

The study attempts to capture the influence of monetary policy of one central bank on another in the present globalised world. The study used monthly time series data of long-term interest rates of major countries US, India, Japan and Euro Area from December 2011 to November 2017. Based on VAR analysis, Impulse Response and Variance decomposition, found that the monetary policy of countries are majorly influenced by the policy changes made by Federal Reserve System, US. Reserve Bank of India responds almost immediately to a policy change in US, and quiet often it has a sustained impact. Japan and Euro Area also responds to the policy changes made by Fed, but has impact only in the short run. Japan and Euro Area have an increased economic integration and thereby their policies influence each other in a major way. Indian monetary policy was never found to have any impact over the policies of US. The study concluded that while considering the monetary policy reaction, the impact of the policy changes of major central banks should also be considered along with the changes in the macroeconomics variables as advocated by the Taylor rule.
Key Resources to Enable Collaborative Digital Innovation

This paper describes key requirements for digital innovation readiness in the public healthcare sector. Collaborative innovation models, where internal and external innovators contribute their ideas and solutions put certain requirements to the organization and ICT infrastructure of health organizations. To explore these requirements, we conducted an empirical case study of a collaborative digital innovation project from its concept stage towards implementation. Our study identifies key technical and organizational resources needed to facilitate innovation, and it therefore has implications for what resources and capabilities need to become part of the healthcare information infrastructure to enable collaborative digital innovation.
Contabilitatea şi auditul în condițiile globalizării: realități și perspective de dezvoltare

Contabilitatea reprezintă instrumentul prin care este reflectată realitatea economică a unei entități. Rezultatul evidenței contabile este materializată sub forma informației pe care aceasta o generează. Scopul acestui studiu este orientat spre descrierea caracteristicilor calitative necesare a fi respectate în cazul informației financiare, pentru a fi considerată relevantă pentru utilizatori. De asemenea se va analiza impactul pe care îl poate avea aplicarea tehnicilor de contabilitate creativă asupra calității informației financiare, prezentate în rapoartele financiare anuale. Pentru atingerea obiectivelor propuse a fost efectuată o revizuire a literaturii de specialitate în ceea ce privește subiectul dat. Pe de o parte, contabilitatea a fost prezentată ca actor principal în furnizarea de informații utile, relevante și necesare în procesul decizional, pe de altă parte au fost prezentate argumente în ceea ce privește prezentarea unor informații financiare, folosind tehnici de contabilitate creativă, care distorzionează imaginea fidelă a poziției și performanței financiare a întreprinderii. Cuvinte cheie: informația financiară, caracteristici calitative, contabilitatea creativă JEL Classifications: M41
Revisiting The Concept Of Market Environmentalism And Human Right To Water

The concept of „market environmentalism‟ (ME) and the process of „neo-liberalisation of nature‟ becomes a new discourse in the field of natural resources management. Commercialisation, privatisation, and market mechanisms are replacing public policies vis-à-vis resource governance. Simultaneously, the movements for establishing human right to water (HRtW) and decentralisation of environmental governance for ensuring the viability of the natural ecosystem are also on the rise. This article sheds light on the optimistic argumentations of ME and then examines them critically. It is concerned with the governance of environmental resources especially „waters‟, the role of neoliberal forces have diminishing effects in many instances. Taking water as a right more significant than any other constitutional rights citizens exercise legally, the article speculates that moderate state intervention and encouragement for greater public participation are necessary steps to be taken for sustainable governance of water, which would eventually ensure citizens their „Right to Water‟ . ————————————————————
A Prospective Analysis On Entity Linking For Domain Specific With Heterogeneous Information Networks

: Entity linking is a task of extracting information that links the mentioned entity in a collection of text with their similar knowledge base as well as it is the task of allocating unique identity to various entities such as locations, individuals and companies. Knowledge base (KB) is used to optimize the information collection, organization and retrieval of information. Heterogeneous information networks(HIN) comprises of multiple-type interlinked objects are interconnected with various types of relationships which have becomes increasingly most popular named are bibliographic networks, social media networks which includes the typical relational database data. The entity linkage determines the corresponding entities from unstructured web text, in the existing HIN. This work is the most challenging and important due to its ambiguity and existing limited knowledge. Some HIN could be considered as a domain-specific KB. The current Entity Linking systems aimed towards corpora which contain heterogeneous as web information and it performs sub-optimally on the domain specific corpora. The EL systems used one or more general or specific domains for linking such as DBpedia, Wikipedia, IMDB and Word net. This model framework presents a model on domain specific entity linking with HIN. This model framework describes the advantages and disadvantages of exiting methods along with its outcomes.
Implementation of Intrusion Detection System

— The paper deals with the security issues concerned to the intrusion in a network and focuses on setup of an Intrusion Detection System (IDS) in a VLAN and detecting various types of attacks on VLAN. It describes various approaches of detecting the attacks and preventing the attacks with different techniques such as pattern matching, protocol decoding, defining rules and signatures etc. We proposed a secured architecture for a LAN with placement of Intrusion Detection System. We have used Snort as an Intrusion Detection System, which is an open source toolkit on Linux platform. It includes detailed study of Intrusion Detection System and practical implementation. Finally, architecture is being proposed to secure VLAN by placing Intrusion
CNN Classification Approach For Analysis And Recognition Of Marathi Manuscript

: Day by day, the printed and handwritten documents are processed on high scale to perform different operations digitally. In this process, Classification of the contents is one of the crucial tasks for any Optical Character Recognition. Diverse techniques like SVM,KNN, ANN, Deep Learning and many more has been utilized for this. We have used KNN, CNN approach for this and illustrated the working of the Convolutional neural network for the Marathi Script with discussion of its working environment. To achieve the superiority we used the max pooling. We tried our system on the diverse size dataset to check the fitness of the proposed model. We evaluated our system on the varying size trained and test data set
Pathogenesis & Laboratory approach to Thrombophilia

Abstract. Thrombophilia is a term used for any hypercoagulable state, either inherited or acquired. The former is considered after excluding acquired predisposing causes like trauma, immobility, Dirseminated inta vascular cuagulation, pregnancy and anitphospholipid syndrome etc. It frequently results from interplay of genetic and acquired factors. An individual’s risk for DVT would be determined by the combination of his or her baseline propensity for thrombosis and the magnitude of the acute insult. Inherited hypercoagulable states may be secondary to deficiency of natural clotting inhibitors or elevated procoagulants or increased fibrinolytic factors . Amongst these, activated protein C resistance, is the commonest underlying cause . Testing for thrombophilia is best performed in stages. Highest-yield assays (screening tests) should be performed first and, if positive, should be followed by appropriate confirmatory tests. Cornerstone of initial treatment is heparin, either unfractionated or low molecular weight, followed by oral anticoagulation. Key words: Thrombophillia, inherited
Smart Attendance System Using Cd-Lbp Algorithm

: Over past few years, Automatic Face Recognition (AFR) have seen a huge performance improvement and this technology is now widely used in almost all commercial and security applications. It is now dragging its concentration on several automatic attendance system. Maintaining attendance is mandatory and important in all the institutions. In olden days, manual method of taking the attendance by a staff was carried out which especially needs more time and man power. To make this process automatized, Biometric attendance system emerged with marking the attendance through the fingerprints of the students. Although it is better than the manual method, it fails in the fact that it makes the students stand in a long queue which is again time consuming.Face recognition is also available in the same biometric module, it is used for analysing individuals only which still needs huge time. The proposed system gives an efficient way to automatically recognize the faces of the students and maintain attendance database based on their presence in a real time background. The results have shown improved behaviour over manual attendance system with a higher accuracy. It also tends to highly increase the security of the attendance management system.
Skill of large-scale seasonal drought impact forecasts

Abstract. Forecasting of drought impacts is still lacking in drought early-warning systems (DEWSs), which presently do not go beyond hazard forecasting. Therefore, we developed drought impact functions using machine learning approaches (logistic regression and random forest) to predict drought impacts with lead times up to 7 months ahead. The observed and forecasted hydrometeorological drought hazards – such as the standardized precipitation index (SPI), standardized precipitation evaporation index (SPEI), and standardized runoff index (SRI) – were obtained from the The EU-funded Enhancing Emergency Management and Response to Extreme Weather and Climate Events (ANYWHERE) DEWS. Reported drought impact data, taken from the European Drought Impact Report Inventory (EDII), were used to develop and validate drought impact functions. The skill of the drought impact functions in forecasting drought impacts was evaluated using the Brier skill score and relative operating characteristic metrics for five cases representing different spatial aggregation and lumping of impacted sectors. Results show that hydrological drought hazard represented by SRI has higher skill than meteorological drought represented by SPI and SPEI. For German regions, impact functions developed using random forests indicate a higher discriminative ability to forecast drought impacts than logistic regression. Moreover, skill is higher for cases with higher spatial resolution and less lumped impacted sectors (cases 4 and 5), with considerable skill up to 3–4 months ahead. The forecasting skill of drought impacts using machine learning greatly depends on the availability of impact data. This study demonstrates that the drought impact functions could not be developed for certain regions and impacted sectors, owing to the lack of reported impacts.