Miracle-dz/UniFAR-FTUs huggingface dataset:
Studies in mycobactin biosynthesis

Tuberculosis (TB) is the leading cause of infectious disease mortality in the world by a single bacterial pathogen, \(Mycobacterium\) \(tuberculosis\). Current TB chemotherapy remains useful in treating susceptible M. tuberculosis strains, however, the emergence of MDR-TB and XDR-TB demand the development of new drugs. Enzymes involved in mycobactin biosynthesis, low molecular weight iron chelators, do not have mammalian homologues; therefore they are considered potential targets for the development of new anti-TB drugs. The aims of this study were to identify potential inhibitors and to investigate the function of the \(mbtG\) and \(AmbtE\) and \(AMbtF\) genes during mycobactin biosynthesis. The full length of \(mbtB\) and the ArCP domain were successfully cloned and post-translationally modified by MtaA, a broad phosphopantetheinyl transferase from \(Stigmatella\) \(aurantiaca\), using \(Escherichia\) \(coli\). Inhibitors identified by virtual screening as well as 13 chemically synthesised PAS analogues were initially investigated in whole-cell assay against \(Mycobacterium\) \(bovis\) BCG Pasteur. Seven of these compounds had interesting growth inhibition under ironsufficient conditions. The \(mbtA\) gene was cloned and expressed as soluble protein using \(Mycobacterium\) \(smegmatis\) mc2155. Preliminary \(in\) \(vitro\) MbtA assays provided hints of its activity, although, the \(KM\) for SAL and ATP have not been determined yet. The \(mbtG\) and \(ambtE\) genes have been cloned and expressed in E. coli to further investigate their biochemical function in mycobactin biosynthesis.
Text mining methods for measuring the coherence of party manifestos for the German federal elections from 1990 to 2021

Text mining is an active ﬁeld of statistical research. In this paper we use two methods from text mining: the Poisson Reduced Rank Model (PRR, see Jentsch et al. 2020; Jentsch et al. 2021) and the Latent Dirichlet Allocation model (LDA, see Blei et al. 2003) for the statistical analysis of party manifesto texts from Germany. For the nine federal elections in Germany from 1990 to 2021, we analyze party manifestos that have been written by the parties to present their political positions and goals for the next legislative period of the German federal parliament (Bundestag). We use the models to quantify distances in the language of the manifestos and in the weight of importance the parties attribute to several political topics. The statistical analysis is purely data driven. No outside information, e.g., on the position of the parties, on the meaning of words, or on currently hot political topics, is used in ﬁtting the statistical models. Outside information is only used when we interpret the statistical results.
Scarring versus Selective Mortality: The long-term effects of early-life exposure to natural disasters in the Philippines∗

This paper analyzes the long-term effects of early-life shocks with varying degrees of severity on mortality and human capital outcomes in the Philippines. We exploit variations in the geographical path and intensity of typhoons, as well as the introduction of disaster relief policies under Ferdinand Marcos to disentangle the effects of culling and scarring. Before Marcos, in-utero exposure to severe typhoons led to higher mortality; the average survivor exhibited similar levels of human capital as the unaffected. Under Marcos, in-utero exposure to severe typhoons had little impact on mortality but significantly reduced survivors’ educational attainment and occupational skill level. These adverse effects are intensified within families and among those born to disadvantaged parents.
Toward XML-Based Data Warehouse Architecture

XML enables data to migrate from relational databases and other sources into future applications. It integrates structured and unstructured data to present new application and knowledge management opportunities. By another way, data warehousing is an essential element of decision support, which has increasingly become a focus of the database industry. Meta-data contains data dictionary and repository; it describes warehousing process, data storage and information delivery. This paper defines how XML affects and changes the concept of the data warehouse. It describes an XML based tool for a structured, reusable and more efficient data warehouse (DW). Otherwise, it shows the ability to specify the warehousing tools with rules defined in the meta-data dictionary.
Betting Market Efficiency during the COVID Crisis: Evidence from the 2020-2021 NFL Season

The COVID-19 outbreak presents an unprecedented shock to betting markets and financial markets alike. With limited capacity in stadiums, the COVID crisis allows us to isolate the impact of crowd support from other determinants of home-field advantage such as stadium familiarity and travel. We find that home-field advantage is eliminated for the first time in NFL history, suggesting that fans are the primary drivers of the advantage. We then evaluate the extent to which betting lines are incorporating the fanless home-field advantage, testing the efficient market hypothesis over the 2020-2021 NFL season. We see quick adaptation in spread setting over the course of the season as the new home-field advantage is realized. As spreads adjust, we find that NFL betting markets are efficient in pricing home-field advantage, leaving no room for profitable exploitation.
Distributed Data Persistency

Distributed applications such as key-value stores and databases provide fault tolerance by replicating records in the memories of different nodes, and using data consistency protocols to ensure consistency across replicas. In this environment, nonvolatile memory (NVM) offers the ability to attain high-performance data durability. However, it is unclear how to tie NVM memory persistency models to the existing data consistency frameworks. In this article, we propose the concept of distributed data persistency (DDP) model, which is the binding of the memory persistency model with the data consistency model in a distributed system. We reason about the interaction between consistency and persistency by using the concepts of visibility point and durability point. We design low-latency distributed protocols for several DDP models, and investigate the tradeoffs between performance, durability, and intuition provided to the programmer.
PROM_A_241170 109..118

1Department of Health Education and Health Promotion, Social Determinants of Health Research Center, Student Research Committee, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran; 2Department of Epidemiology and Biostatistics, Social Determinants of Health Research Center, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran; 3Department of Health Education and Health Promotion, Social Determinants of Health Research Center, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran Introduction: Self-care behaviors are the most important factor in diabetes management, and improving such behaviors is the cornerstone in helping patients to manage their illness. The current study aimed to determine interfering factors in the self-care process in patients with diabetes. Methods: The present qualitative study with content-analysis design was performed from March 2017 to April 2019 in Mashhad, Iran. Data collection was started with sampling and continued until saturation. Data were collected through semistructured interviews. Participants comprised 21 patients with diabetes (adults with type 1 or 2 diabetes) aged 31–60 years. Data analysis was performed using the Landman method and MaxQDA 10 software. Results: Qualitative content analysis showed that patients' self-care behavior was influenced by different factors and conditions. In the current study, four key themes facilitating or preventing self-care behaviors in patients with diabetes were extracted: accessibility, environmental factors, behavioral habits, and personal factors. Conclusion: A range of personal and environmental factors may play an important role in the formation of self-care behaviors in patients with diabetes, and providing medical, welfare, and social support to such patients can facilitate self-care behavior formation in them. On the other hand, by removing perceived barriers, patients may be better able to adhere to self-care behaviors.
Effect of Salting Process on Fish Quality

Salting is one of the oldest techniques known to man for the preservation and increasing of shelf life of fish, and was in use long before other processes such as smoking, drying, canning, marinating, etc. The present study can be summarized in identifying the changes in chemical composition, physicochemical parameters, microbiological quality and sensory properties associated with fish salting and storage periods.
CMAR_A_209824 1121..1128

Jan Schaible* Kirsten Utpatel* Niklas Verloh 1 Ingo Einspieler Benedikt Pregler Florian Zeman Philipp Wiggermann Andreas G Schreyer Christian Stroszczynski Lukas P Beyer 1Department of Radiology, University Medical Center Regensburg, Regensburg, Germany; 2Institute of Pathology, University of Regensburg, Regensburg, Germany; 3Center for Clinical Studies, University Medical Center Regensburg, Regensburg, Germany; 4Department of Radiology, Municipal Hospital Braunschweig, Braunschweig, Germany; 5Department of Radiology, Brandenburg University Hospital, Brandenburg Medical School, Brandenburg, Germany; 6Department of Diagnostic and Interventional Radiology, Clinic Ernst von Bergmann, Potsdam, Germany
Impact of an Educational Program on Sexual Issues among Cervical Cancer Survivors' Women in Northern Upper Egypt

Background: Sexuality is an important part of normal human functioning. Gynecological cancer and its treatments can affect one or more phases of the sexual response cycle, through alterations of sexual function. Sexual dysfunction is one of the most distressful symptoms among cervical cancer survivors. Sexual distress is a broad term encompassing any sexual discomfort and dysfunction. Sexual difficulties following cervical cancer can be stressful for couples as it can feel like a core part of the relationship has disappeared. Aim: The study is conducted to evaluate the impact of an educational program on sexual issues (sexual dysfunction & sexual distress) among cervical cancer survivors' women in Northern Upper Egypt. Methods; Design: A quasi-experimental design. Setting: out-patient clinic in the oncology unit at Beni-Suef University Hospital. Subjects: A purposive sample of 70 women. Tools: structured interviewing questionnaire sheet, female sexual function index, and female sexual distress scale. Results: The results of the study revealed regression of all items of women’s sexual distress scores, and progression of all items of women’s sexual items post-program compared to pre-one. Conclusion: The teaching program was very effective in improving sexuality among cervical cancer survivors' women. Recommendations: Disseminate the educational booklet at health centers and oncology outpatients. Integrate psychologist, psychosexual specialist, and social worker in treatment and counseling program for women with cervical cancer in the early stage of their treatment.
Decompressive Surgery for Craniovertebral Foramen Magnum Stenosis with Medullary Compression in Paediatric Skeletal Dysplasia Syndromes

Citation: Antunes C, Pereira P, Alves D, Vaz R, Pereira J (2021) Decompressive Surgery for Craniovertebral Foramen Magnum Stenosis with Medullary Compression in Paediatric Skeletal Dysplasia Syndromes. Neurosurg Cases Rev 4:073. doi.org/10.23937/2643-4474/1710073 Accepted: July 21, 2021; Published: July 23, 2021 Copyright: © 2021 Antunes C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Open Access Neurosurgery Cases and Reviews
Do Islamic Bank Assets Help Reducing Poverty? The Correlation Assessment in Poverty Cluster

Abstract: The purpose of this research is to examine the ability of total assets, deposit funds, and financing of Islamic banks in alleviating poverty in each province. Provincial clusters were measured by poverty levels which are deliberately established to reveal the level of success of each provincial cluster in reducing poverty. This study incorporates methods of hierarchical cluster and non-parametric correlation as means of exposing characters of the relationship between Islamic bank assets and poverty in each cluster measured by low, moderate, and high poverty levels. To refine the findings, correlation tests are performed on each cluster. This study proves that total assets, deposit funds, and Islamic bank financing have a significant negative relationship with poverty in clusters with high poverty level. On the other hand, in clusters with moderate and low poverty levels, the three variables do not have significant negative relationship with poverty. The finding implies the importance of Islamic banks to map the poverty weights in each group of regions so that it can be used to improve the level of poverty alleviation success.Abstrak: Penelitian ini bertujuan untuk menguji kemampuan total aset, dana pihak ketiga, dan pembiayaan bank syariah mengentaskan kemiskinan di setiap provinsi. Kluster provinsi yang diukur menurut tingkat kemiskinan untuk mengungkap level keberhasilan setiap kelompok dalam mengurangi angka kemiskinan. Penelitian ini memadukan metode kluster hirarki dan korelasi non-parametrik sebagai alat untuk mengungkap karakter hubungan aset-aset bank syariah dan kemiskinan. Untuk mempertajam temuan, uji korelasi dilakukan terhadap masing-masing kluster. Penelitian ini membuktikan bahwa total aset, dana pihak ketiga, dan pembiayaan bank syariah memiliki hubungan negatif signifikan dengan kemiskinan pada kluster yang tingkat kemiskinannya tinggi. Sedangkan pada kluster yang tingkat kemiskinannya sedang dan rendah, ketiga variabel tersebut tidak memiliki hubungan negatif signifikan dengan kemiskinan. Temuan ini mengimplikasikan pentingnya bank syariah memetakan bobot kemiskinan di setiap kelompok daerah sehingga dapat digunakan untuk meningkatkan level keberhasilan pengentasan kemiskinan.
Emotion Analysis Model of MOOC Course Review Based on BiLSTM

Online course review can objectively reflect the emotional tendency of learners towards the learning effect. This paper proposes a deep neural network based sentiment analysis model for MOOC course reviews. The model uses Bidirectional Long Short-Term Memory Network (BiLSTM) to analyze Chinese semantic. In order to deal with the imbalance of training data set, this paper introduces two methods to balance it and adds dropout mechanism to prevent the over fitting of the model. The model is then applied to the emotional evaluation of MOOC course of “Fundamentals of College Computer Application”. The application results show that the model has achieved good accuracy and can well realize the emotional orientation analysis of online course reviews so as to provide valuable reference for Course Builders.
REVIEWS | Books Challenging Categorisation from an Adolescent Perspective

Pia Olsson has conducted a three-year ethnographic study on differences and diversities in a school context. The book Kaikki vähän erilaisii [Everyone is a little different] is the result. The study aimed at understanding how lived experiences of differences are represented and manifested in the lives of adolescent pupils. At the beginning of her book, Olsson presents a list of facts that serve as an argument for such a study. Due to low specialisation in the schooling system, Finnish schools are largely places where children from various backgrounds meet. Children from a range of socioeconomic, cultural, linguistic and other backgrounds are in the same classes and often, as in Olsson’s study, children with special needs are also included as part of the school policy. Olsson suggests that this is why school is an excellent location to study differences and processes of differentiation. The three-year study started in 2009 and took place at a secondary school in the capital area of Finland. Olsson wanted participants who would represent and/or be able to discuss the different categorisations that she had in mind when preparing for the study. In addition to categories related to gender and lifestyle, the categorisation of ethnicity and children with disabilities guided the study, especially at the outset. The researcher invited students from regular classes (yleisopetus), students from a preparatory class (mainly aimed at students with little or no previous schooling in Finnish) and students from a class for extended compulsory education (mainly aimed at students with disabilities) to participate in the study. The book introduces 21 participants, who are all pupils from various backgrounds between the ages of 13 and 17 and who wanted to participate in Olsson’s study and were interested in discussing the research themes (p. 8). The data were collected through observations and interviews that took place within classrooms and at the school. The book consists of six chapters as well as an appendix, in which the author discusses the ethical considerations of doing ethnographic research. The six chapters include a description of the research context, the theoretical foundations and definition of concepts, the results in three chapters divided
Efficient Scene Adaptation Technology for Object Detection Using Auto Image Synthesis

Recently, because of the growing need for automation of monitoring, machine learning has become widely used in the social systems domain. However, the issue of machine learning is that the pre-trainedmodel provides poor performance when the environment changes. Especially in the social systems domain, there are various environmental changes such as place and camera angle, and additional learning through scene adaptation is essential to achieve the required accuracy. Therefore, we tried to develop a method for more efficient scene adaptation. Until now, the cost to collect images of the new scene and label the ground truth was substantial. In this paper, we investigated a method to automatically generate images and pseudo ground-truth labels for training through image synthesis. The experiment was conducted for vehicle detection on highways and at intersections. As a result, we were able to generate a training dataset for less cost while achieving accuracy close to that of manually label . This method can be expected to further automation.
Evaluation of effectiveness for using of Electronic Health Information System at Al-Rajhy Assiut University Hospital for Liver

Background: Electronic Health Information System (EHIS) are currently considered a major part of the healthcare system; this importance emerges from the importance of their role in managing all patient data to documenting all medical services. Aim to evaluate the effectiveness of health care providers’ usage of Electronic Health Record at AlRajhy Assiut University Hospital for Liver. Research design; Descriptive comparative research design was used for this study. Setting; the study had been conductedat Al-Rajhy Assiut University Hospital for Liver. Subjects; the study subject included all users of the EHRs, (n= 250) Tools; one tool consists of three parts as following; personal and professional characteristics data sheet, Evaluation of electronic health records sheet, and Utility of electronic hospital information system sheet. Results; the study finding revealed that the majority of studied subjects were agreed that the system works well, easy to input information into electronic records, and easy to use, most of them agreed that the system provides clear, useful, complete information, provides reliable information, records are useful, present updated information in an appropriate format. And more than half of them agreed that the records offer reliability, and moreover facilitates coordination of tasks, decision process, auditing and release of procedures, facilitates analysis of hospital bills, verification of the materials & medications used in units, and facilitates hospital billing. Conclusion; There were high statistical significant difference among physicians, nurses, and employees’ regarding to evaluation of electronic records system.There were statistical significant differences among physicians, nurses, and employees and general utility of electronic records. Recommendation; guideline and manual book about how to use of Health Information System should be available for users to support them in documentations. Arrange a training program to assess awareness for HIS users regarding the benefits of Information Technology and HIS. Training should be assured by arranging workshops to improve their computer and HIS proficiency.
Assessment of Wavelets Transform based Processing of Features of Forearm Muscle Signals for Prosthesis

People who have lost forearm are suffer from hand mobility limitations due to trauma, disease or defect, Prosthesis arm help those people to do their daily actions. Researchers have been focused on developing artificial hand. In this regard, better processing of features of electromyographic (EMG) signal has a significant role from residual forearm muscle. To achieve this, Wavelet Transform (WT) technique has been applied because it is acceptable with the characteristics of EMG as a nonstationary signal. Results have shown that db5 wavelet decomposition performs best denoising at fifth level in other wavelets comparison. Furthermore, the ratio of Signal to Noise (S/N) and the error of percentage (PE) are calculated to evaluate the eminence and the usefulness features of EMG.
Tourism 2021 03EN 325-464.indd

Tourist attractions are vital sub-elements in the tourism system. Despite drawing considerable attention in the tourism literature, most studies suff er from a lack of in-depth analysis of the theoretical foundation. Th is research aims to analyze the temporal nature of tourist attraction, thereby linking the cognitive and organizational perspective of tourist attraction classifi cation by its temporal dimension. From the organizational perspective of tourist attraction classifi cation, a further purpose is to classify tourist attractions regarding their temporal dimension. Th is paper shows the organizational infl uence of time regarding when and how long an attraction occurs. Th e cognitive and organizational perspective typologies of tourist attractions are linked by a common unit of measurement: time. With regard to their temporal dimension, tourist attractions are classifi ed as STA Stationary attraction and SEA Seasonal attractions. Th is study contributes to the literature by providing an insight into the temporal dimension of tourist attractions and the understanding of the cognitive and organizational perspective and their interconnection within tourist attraction typology. Th e defi ned framework can be applied in the comparison and evaluation of tourist attractions providing the basis for further discussion on the nature of tourist attractions.