Miracle-dz/UniFAR-FTUs huggingface dataset:
Tolerance factors of hybrid organic–inorganic perovskites: recent improvements and current state of research

In 2014 we applied Goldschmidt's concept of ionic tolerance factors to the large family of hybrid organic–inorganic perovskites. Initially seen as a guiding concept for the discovery of new hybrid organic–inorganic perovskites, the tolerance factor concept has also proven to be a valuable tool for understanding and manipulating the phase stability and properties of existing phases. Since our initial report, there have been many research examples in which tolerance factors were used to understand the existence and stability of certain hybrid organic–inorganic perovskites, while the concept itself has been continuously improved. Here we give an update on the current state of the concept, reviewing the different improvements that have been made over the past few years and drawing on topical examples in which tolerance factors have played a major role.
An Analysis for the Prediction of Prefetched Content on Social Media

In Recently, social media networks are popularly emerging through world. This has been a great platform for information sharing through network among people. Being ubiquitous in nature, social media are accessible anywhere and at any point of time. To provide Quality of Experience support, a learning-based model for social media is been proposed. This is mainly used to improve user's usage satisfaction and to reduce access delay in Online Social Networks (OSN). For this, an analysis of Twitter traces for over fourteen months is conducted. Over 2,800 users Twitter data is collected using Twitter API for the analysis of social media friendship. And a cluster-based analysis for these set of user friends is made for the prefetch prediction. A mechanism using XGBoost algorithm and Decision Tree Regressor algorithm, the performance of this framework is been determined. The performance of this framework using trace-drive emulations on the social media network has been evaluated. Evaluation results could do superior performance with XG Boost algorithm of around 85.1% accuracy of access delay reduction.
Multiple EffNet/ResNet Architectures for Melanoma Classification

Melanoma is the most malignant skin tumor and usually cancerates from normal moles, which is difficult to distinguish benign from malignant in the early stage. Therefore, many machine learning methods are trying to make auxiliary prediction. However, these methods attach more attention to the image data of suspected tumor, and focus on improving the accuracy of image classification, but ignore the significance of patient-level contextual information for disease diagnosis in actual clinical diagnosis. To make more use of patient information and improve the accuracy of diagnosis, we propose a new melanoma classification model based on EffNet and Resnet. Our model not only uses images within the same patient but also consider patient-level contextual information for better cancer prediction. The experimental results demonstrated that the proposed model achieved 0.981 ACC. Furthermore, we note that the overall ROC value of the model is 0.976 which is better than the previous state-of-the-art approaches.
Design and Implementation of Low Power and High- Speed Full Adder

Adder circuit is basic part of arithmetic circuits and also Application Specific Integrated Circuits (ASIC). Combination of different logic styles are used to implement adder circuits. Here, XOR-XNOR and full adder (FA) implemented using PTL, CPL cross coupled and PTL cross coupled logic styles. Performance analysis of these circuits are studied by measuring worst-case delay, power dissipation and Power Delay Product (PDP). Performance of FACs is dependent on XOR-XNOR circuit. The performance analysis of FAC is done by Pyxis schematic, layout by Pyxis layout editor and Design Rule Check (DRC) by Calibre tool in Mentor Graphics EDA tool at 130nm technology operating at 1.2V supply voltage and frequency of 1GHz. CPL cross coupled FAC is having lowest power of 2.65nW; The PTL based FAC 1 and CPL cross coupled FAC has got lowest worst-case delay for sum as 7.99ps and carry as 4.80ps respectively, and CPL cross coupled FAC is lowest PDP of 0.02aJ. CPL cross coupled FAC can be considered as the low power and high-speed FA as it has got lowest PDP. Proposed FAC 1 and FAC 3 have got reduced power dissipation of 4.72nW and 4.29nW. PDP of FAC 1 is 0.20aJ and FAC 3 is 0.16aJ and the number of transistors is 20 and 16 respectively. Proposed transistors and obtained PDP are lesser than PTL based FAC 1 and FAC 2.
Effect of Smoking Methods (Hot and Cold) and Refrigeration Storage on the Chemical Composition of Catfish Fillets (Clarias Gariepinus)

The current study aims to determine the effect of smoking methods (Hot and cold) on the chemical composition of catfish fillets (Clarias gariepinus), as well as following of the changes that occurred during the of refrigeration storage at 4°C ± 1°C for 40 days. The moisture contents of catfish fillets samples sharply decreased after smoking process. The loss of moisture content in hot smoked fillets was higher than cold smoked fillets. Contrary to moisture; protein, fat and ash contents increased in smoked catfish fillets. During storage period, moisture, protein and fat contents decreased gradually while ash and sodium chloride contents increased during refrigeration storage.
Goat’s milk-derived bioactive components - a review

A well balanced diet of modern population includes an increased consumption of products from goat’s milk, which has composition different from the commonly used cow milk. Goat’s milk is characterized by better digestibility, higher buffer capacity than cow’s milk and a lower content of αs1-casein which is responsible for causing allergic reactions. Goat’s milk also contains more free amino acids than cow’s milk. The advantage of goat’s milk is its approximately 30 % higher magnesium content, high selenium content and glutathione peroxidase enzyme, which means that goat’s milk has greater antioxidant properties than cow’s milk.
Formalising Zero-Knowledge Proofs in the Symbolic Model

With most of our everyday life taking place online – from private conversations in messaging applications to financial transactions even being published on a public ledger – security properties such as anonymity and privacy are in ever higher demand. These properties typically require cryptographic schemes beyond encryption and traditional signatures. Zero-knowledge proofs often provide an elegant and powerful way in which anonymity and privacy can be achieved. Because of this, zeroknowledge proofs are now ever more frequently employed in security pro-
Study the Association of C-Reactive Protein and Risk of Cardiovascular Disease in Heart Patients above the Age of 50 Years

Coronary heart disease, non-communicable disease has become epidemic and increasing in world crisis. There is escalation in developing countries and known to be the death cause in developed countries. Due to the absence of proper guidance and preventive measures its risk factors are increasing day by day. 30-40% of deaths in Pakistan are due to cardiovascular disease. Study of C-reactive protein relationship with cardiovascular disease risk factors is essential for heart disease patients. C-reactive protein is an inflammatory marker it’s helpful tool for the recognition of risks in developing heart disease. C-reactive protein assessed by Enzyme LinkedImmunosorbent assay method is more effective in comparison with other risk factors of cardiovascular disease such as obesity, blood pressure, diabetes mellitus, cholesterol, Triglycerides, LDL cholesterol and HDL cholesterol. Written consent filled by the patients was studied to understand the relative relation of C-reactive protein with other parameters. Systolic and diastolic blood pressure mmHg was measured at 5 minutes of interval for the average analysis. By statistical analysis on Graph Pad Prism we have found the prevalence of Creactive protein in heart patients in reference to their physical activity, smoking status and stress. Statistical means of h heart patients and control were compared to each other and there see mainly increase in level of CRP, LDL cholesterol, Triglycerides, diabetes mellitus and total cholesterol. High density lipoprotein cholesterol was low in patients and higher in control because this is the good cholesterol. Total numb er of heart patients is 50, and 15controls. C-reactive protein in heart patients is (4.594±0.2099***) at a 95% of confidence interval whereas in control it was 1.42±0.1776. Statistical value of total cholesterol is 246.1±7.081*** in heart patients and in control (173.7±7.909). There was significant association of all parameters with coronary heart disease.
Research on the Path of Improving the Employment Ability of Students in Application-oriented Universities

Application-oriented undergraduate colleges refer to those colleges that mainly focus on undergraduate education, serve the regional economy and society, rely on discipline construction, take social talents' needs as the training orientation, and train high-level and high-quality applied talents based on application-oriented professional education. In recent years, with the rise and expansion of local undergraduate colleges, the number of college graduates has soared, but the employment situation is not optimistic. This paper analyzes the reasons for the lack of employability of local application-oriented undergraduate students, and finds that local applicationoriented undergraduate universities pay insufficient attention to the cultivation of practical ability in employment, which is mainly due to the unclear objectives of training programs, the lack of training subjects and insufficient attention to practical ability. Finally, it puts forward ways to improve the employability of application-oriented undergraduate students from different aspects.
CMAR_A_314384 8131..8136

1Department of Radiation, The Affiliated Suzhou Hospital of Nanjing Medical University and Second Affiliated Hospital of Xuzhou Medical University, Suzhou, Jiangsu, People’s Republic of China; 2Department of Radiation, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China; 3Department of Gynecologic Oncology, Cancer Hospital of University of Chinese Academy of Sciences, Hangzhou, Zhejiang, People’s Republic of China Purpose: Patterns of recurrence in cervical cancer may be useful as prognostic indicators. The aim of the present study was to determine the value of patterns of recurrence for predicting prognosis of early-stage cervical cancer. Patients and Methods: Of the 1934 patients diagnosed with primary cervical cancer between August 2008 and July 2013, 167 experienced recurrence after radical hysterectomy, including pelvic lymphadenectomy, and adjuvant postoperative treatment. The patterns of recurrence were classified into four groups: central, pelvic, distant only, and combined metastases, and the relationship between patterns of recurrence and prognosis was evaluated. Results: The patterns of lung only (21.6%), central (21.0%), and pelvic recurrence (17.4%) were the most common sites, followed by distant lymph nodes and lung with other sites. The longest 5-year survival period occurred in patients with central recurrence (70.5%), followed by distant lymph nodes (58.4%), peritoneum (58.3%), and lung only (36.8%). Late recurrence was detected in 28 patients (1.4%), who showed a better prognosis than those with early recurrence (p = 0.003). Conclusion: The patterns of recurrence help to predict prognosis. A central pattern of recurrence, distant lymph node recurrence, and peritoneal recurrence were associated with favorable outcomes after salvage therapy; however, patients who suffered other recurrent patterns, along with early recurrence, require more effective therapeutic strategies to improve survival.
Minerals of the bavenite-bohseite series from the Schinderhübel I pegmatite in Maršíkov (Silesicum, Czech Republic)

Bavenite and bohseite were found in an archive sample from Schinderhübel I granitic pegmatite, situated ca. 50 m NE from the famous chrysoberyl-bearing pegmatite body Schinderhübel III near Maršíkov (Silesicum, Czech Republic). Minerals of the bavenite-bohseite series together with minor quartz, muscovite and albite form chalky white radial aggregates up to 3.5 cm in size within a fissure cutting the pegmatite. The electron microprobe data revealed 29.0 65.4 mol. % of bavenite component, 0.03 0.12 apfu Na and 0.05 0.20 apfu F. Bavenite seems to be older than bohseite in the studied aggregate. The collected data suggest significant increase of Be/Al during growth of the studied aggregate, which could be explained in two ways. First, one can assume that different primary minerals with contrasting Be/Al ratios were dissolved during different stages of alteration (i.e., chrysoberyl in the early stage giving rise to bavenite-rich compositions and beryl during late stage giving rise to bohseite-rich members). Second, chemical fractionation of Be and Al due to complexation by fluoride anions is suggested from negative correlation between Al and F in the studied members of the bavenite-bohseite series. Identical behaviour is observed also in bavenite-bohseite from Piława Górna and Maršíkov D6e pegmatites, suggesting potential importance of fluoride complexation during hydrothermal stage of evolution of granitic pegmatites.
Assessment of Haematological and Biochemical Parameters at Different Pubertal Stages among Boys from Khammam District

Background: Adolescence is the most critical phase of human growth that radically alters the physiology of the body and wherein any inconsistency can lead to serious health consequences in adulthood. In adolescents, the haematological and biochemical parameters change with age, necessitating a continuous age-related definition of the reference intervals. This prospective study aimed to examine the utility of new haematological and biochemical markers to assess nutritional status and possible health risks in children, adolescents and adult boys. Materials and Methods: We performed a crosssectional study in a sizeable group of 90 male participants aged between 10–22 years to inspect the distribution of values of common haematological and biochemical parameters. Anthropometrical measurements were carried with standard protocols, and blood samples were collected from participants in a hospital setting. Haematological samples were measured using pathology laboratory protocols. Hepatic, renal, lipid and carbohydrate metabolism markers were determined by following standard biochemistry methods. Results: We observed some differences between haematological parameters, hepatic, renal, lipid and glycaemic profiles among children, adolescents and adults. Amongst lipid parameters, only HDL levels were significantly associated with gender following puberty (p< 0.001), the calculated BMI levels were in the lower normal range. Conclusions: This is the first study establishing haematological and biochemical parameters in this part of India. These findings provide a helpful guide for clinical researchers and care providers. Studies on a large scale and in different settings would also be desirable.
Polyphenols: A Comprehensive Review of their Nutritional Properties

Polyphenols are the most prominent natural antioxidants found numerously in nature. They are secondary metabolites recognized for having high health benefits for consumers, even if the exploitation of these remarkable natural compounds is still a challenge. Moreover, there is a dilemma over the nutritional value of polyphenols. Hence, this paper seeks to review the classification, sources, anti-browning effect, antioxidant activity, nutritional property and anti-disease effect of polyphenols for better understanding the issues which need to be addressed in the valorization of these natural compounds.
AlphaGo-like Inverse RNA Folding algorithms

In RNA inverse folding the goal is to ﬁnd a nucleotide sequence given a target secondary or tertiary structure. The RNA inverse folding problem is an NP-complete problem and chaotic in nature, which makes ﬁnding a near-perfect algorithm for solving the problem challenging. The RNA inverse folding problem has recently been converted into a game called Eterna where human players are able to solve together problems that the best algorithms today cannot solve. AlphaGo-like algorithms are great in solving games where human strategies are needed. Therefore in this project, we explore the possibility of implementing an AlphaGo-like algorithm for the RNA inverse folding problem. In this process we give some promising solutions for the pre-requisites of such an algorithm. First, this includes a representation of the secondary structure of the RNA molecule in the form of a matrix. Secondly, we propose a state representation in the form of a tensor, which can readily be used by a neural network as input. Third, we based the neural network architecture at the core of the Monte Carlo Tree Search on U-Net. Finally, we combine these proposed pre-requisites together, culminating in a proof of concept.
Understanding engagement with U.S. (mis)information news sources on Facebook

Facebook has become an important platform for news publishers to promote their work and engage with their readers. Some news pages on Facebook have a reputation for consistently low factualness in their reporting, and there is concern that Facebook allows their misinformation to reach large audiences. To date, there is remarkably little empirical data about how often users "like," comment and share content from news pages on Facebook, how user engagement compares between sources that have a reputation for misinformation and those that do not, and how the political leaning of the source impacts the equation. In this work, we propose a methodology to generate a list of news publishers' official Facebook pages annotated with their partisanship and (mis)information status based on third-party evaluations, and collect engagement data for the 7.5 M posts that 2,551 U.S. news publishers made on their pages during the 2020 U.S. presidential election. We propose three metrics to study engagement (1) across the Facebook news ecosystem, (2) between (mis)information providers and their audiences, and (3) with individual pieces of content from (mis)information providers. Our results show that misinformation news sources receive widespread engagement on Facebook, accounting for 68.1% of all engagement with far-right news providers, followed by 37.7 % on the far left. Individual posts from misinformation news providers receive consistently higher median engagement than non-misinformation in every partisanship group. While most prevalent on the far right, misinformation appears to be an issue across the political spectrum.
openSkies - Integration of Aviation Data into the R Ecosystem

Aviation data has become increasingly more accessible to the public thanks to the adoption of technologies such as Automatic Dependent Surveillance-Broadcast (ADS-B) and Mode S, which provide aircraft information over publicly accessible radio channels. Furthermore, the OpenSky Network provides multiple public resources to access such air trafﬁc data from a large network of ADS-B receivers. Here, we present openSkies , the ﬁrst R package for processing public air trafﬁc data. The package provides an interface to the OpenSky Network resources, standardized data structures to represent the different entities involved in air trafﬁc data and functionalities to analyze and visualize such data. Furthermore, the portability of the implemented data structures makes openSkies easily reusable by other packages, therefore laying the foundation of aviation data engineering in R.
Social Media and the Murder of Klodian Rasha

Social media brought an important change in the way of doing journalism, different from traditional media for their characteristics and features on their own. As every new thing, social media attracts the attention of researchers to understand the way how they function with their advantages and disadvantages, with positive and negative aspects. The murder of an innocent young man by a policeman in Tirana in the December of 2020 had a lot of attention in Albania media. The sensitivity of Albanian society in this case, despite the event itself was strengthen from the media space that was given to the murder, given versions of official and unofficial sources and protests organized in the name of the victim Klodian Rasha. This case study was analyzed to understand the role of social media focusing in the process of producing the media product, spreading, network, interaction in other words the new media space and ethical problems that accompany this process so the research question is: Which is the role of social media in covering and treatment of this event? The study relies on the social platform Facebook because it is one of the most followed platforms in Albania.
Maternal Ezh1/2 deficiency in oocyte delays H3K27me2/3 restoration and impairs epiblast development responsible for embryonic sub-lethality in mouse

Mammalian embryonic development is a complex process regulated by various epigenetic modifications. Recently, maternal histone H3 methylations were found to be inherited and reprogrammed in early embryos to regulate embryonic development. The enhancer of zest homolog 1 and 2 (Ezh1 and Ezh2) belong to the core components of Polycomb repressive complex 2 (PRC2) and are the histone methyltransferase of histone 3 lysine 27 (H3K27). How maternal Ezh1 and Ezh2 function on H3K27 methylation in in vivo preimplantation embryos and embryonic development are not clear. Here, we deleted Ezh1 or/and Ezh2 in growing oocytes using gene knockout mouse models, and found that H3K27me3 in oocytes was disappeared by loss of Ezh2 alone while H3K27me2 was absent upon deletion of both Ezh1 and Ezh2. The effects of Ezh1/2 were inherited in maternal knockout zygotes and early embryos, in which restoration of H3K27me3 was delayed until late blastocyte by loss of Ezh2 alone and H3K27me2 was reestablished until morulae by deletion of Ezh1 and Ezh2. However, the ablation of both Ezh1 and Ezh2, but not single Ezh1 or Ezh2, led to significantly decreased litter size due to growth retardation during post-implantation. Furthermore, maternal Ezh1/2 deficiency caused compromised H3K27me3 and pluripotent epiblast cells in late blastocyst, followed by defective development of epiblast. These results demonstrate that in oocytes, Ezh2 is indispensable for H3K27me3 while Ezh1 complements Ezh2 in H3K27me2. Also, maternal Ezh1/2-H3K27 methylation is inherited in descendant embryos and has a critical effect on fetus and placenta development. Thus, this work sheds light on maternal epigenetic modifications during embryonic development.