Miracle-dz/UniFAR-FTUs huggingface dataset:
Surface-Functionalized Nanoparticles as Efficient Tools in Targeted Therapy of Pregnancy Complications

Minimizing exposure of the fetus to medication and reducing adverse off-target effects in the mother are the primary challenges in developing novel drugs to treat pregnancy complications. Nanomedicine has introduced opportunities for the development of novel platforms enabling targeted delivery of drugs in pregnancy. This review sets out to discuss the advances and potential of surface-functionalized nanoparticles in the targeted therapy of pregnancy complications. We first describe the human placental anatomy, which is fundamental for developing placenta-targeted therapy, and then we review current knowledge of nanoparticle transplacental transport mechanisms. Meanwhile, recent surface-functionalized nanoparticles for targeting the uterus and placenta are examined. Indeed, surface-functionalized nanoparticles could help prevent transplacental passage and promote placental-specific drug delivery, thereby enhancing efficacy and improving safety. We have achieved promising results in targeting the placenta via placental chondroitin sulfate A (plCSA), which is exclusively expressed in the placenta, using plCSA binding peptide (plCSA-BP)-decorated nanoparticles. Others have also focused on using placenta- and uterus-enriched molecules as targets to deliver therapeutics via surface-functionalized nanoparticles. Additionally, we propose that placenta-specific exosomes and surface-modified exosomes might be potential tools in the targeted therapy of pregnancy complications. Altogether, surface-functionalized nanoparticles have great potential value as clinical tools in the targeted therapy of pregnancy complications.
DAXX in cancer: phenomena, processes, mechanisms and regulation

Abstract DAXX displays complex biological functions. Remarkably, DAXX overexpression is a common feature in diverse cancers, which correlates with tumorigenesis, disease progression and treatment resistance. Structurally, DAXX is modular with an N-terminal helical bundle, a docking site for many DAXX interactors (e.g. p53 and ATRX). DAXX’s central region folds with the H3.3/H4 dimer, providing a H3.3-specific chaperoning function. DAXX has two functionally critical SUMO-interacting motifs. These modules are connected by disordered regions. DAXX’s structural features provide a framework for deciphering how DAXX mechanistically imparts its functions and how its activity is regulated. DAXX modulates transcription through binding to transcription factors, epigenetic modifiers, and chromatin remodelers. DAXX’s localization in the PML nuclear bodies also plays roles in transcriptional regulation. DAXX-regulated genes are likely important effectors of its biological functions. Deposition of H3.3 and its interactions with epigenetic modifiers are likely key events for DAXX to regulate transcription, DNA repair, and viral infection. Interactions between DAXX and its partners directly impact apoptosis and cell signaling. DAXX’s activity is regulated by posttranslational modifications and ubiquitin-dependent degradation. Notably, the tumor suppressor SPOP promotes DAXX degradation in phase-separated droplets. We summarize here our current understanding of DAXX’s complex functions with a focus on how it promotes oncogenesis.
Drug Interaction Advisory Service for Clinical Decision Support of Multimordity Patient Centric Care Plans in the C3-Cloud System

C3-Cloud is a project aiming to provide an ICT infrastructure, which will allow patient centric and integrated care, based on best practice guideline, for patients with multi-morbidity. Clinical Decision Support, by checking the patient's record for known adverse interactions when the medication changes. The drug interaction advisory service provides recommendations in the three languages used in the project's pilot sites, for over 1000 substances, based on the UK's NICE BNF body of knowledge.
Radioguided surgery: physical principles and an update on technological developments

Abstract Radioguided surgery (RGS) is the use of radiation detection probes and handheld gamma cameras in surgery rooms to identify radioactively labeled lesions inside the body with an aim to improve surgical outcome. In today’s surgery, application of these devices is a well-established practice, which provides surgeons with real-time information to guide them to the site of a lesion. In recent years, there have been several major improvements in the technology and design of gamma probes and handheld gamma cameras, enhancing their applications in surgical practices. Handheld gamma cameras, for example, are now moving from single-modality to dual-modality scanners that add anatomical data to the physiologic data, and with that provide more clinical information of the tissue under study. Also, in the last decade, a radioguided surgical technique based on the Cerenkov radiation was introduced, with more improved sensitivity in identifying radioactively labeled lesions. Additionally, recent advances in hybrid tracers have led to more efficient detection of lesions labeled with these tracers. Besides, it seems that combining medical robotics and augmented reality technology with current radioguided surgical practices potentially will change the delivery and performance of RGS in the near future. The current paper aims to give an overview of the physics of RGS and summarizes recent advances in this field that have a potential to improve the application of radioguided surgical procedures in the management of cancer.
Utilizing Big Data in Healthcare, How to Maximize Its Value

Big data has been applied in a variety of ways in healthcare. It can be considered as a tool for data collection. And hence, there are certain criteria needed in this tool to be of value. Optimists have exaggerated the benefits of big data, while pessimists reported negative aspects. Big data remains a reality that healthcare must face and maximize its value. The authors identified few guiding principles for scientific utilization of big data in healthcare. These include: generate evidence by scientific methods, assure validity and significance, use multi-step analysis, and lastly consider sensitivity, and specificity.
Ribosome profiling of selenoproteins in vivo reveals consequences of pathogenic Secisbp2 missense mutations

Recoding of UGA codons as selenocysteine (Sec) codons in selenoproteins depends on a selenocysteine insertion sequence (SECIS) in the 3′-UTR of mRNAs of eukaryotic selenoproteins. SECIS-binding protein 2 (SECISBP2) increases the efficiency of this process. Pathogenic mutations in SECISBP2 reduce selenoprotein expression and lead to phenotypes associated with the reduction of deiodinase activities and selenoprotein N expression in humans. Two functions have been ascribed to SECISBP2: binding of SECIS elements in selenoprotein mRNAs and facilitation of co-translational Sec insertion. To separately probe both functions, we established here two mouse models carrying two pathogenic missense mutations in Secisbp2 previously identified in patients. We found that the C696R substitution in the RNA-binding domain abrogates SECIS binding and does not support selenoprotein translation above the level of a complete Secisbp2 null mutation. The R543Q missense substitution located in the selenocysteine insertion domain resulted in residual activity and caused reduced selenoprotein translation, as demonstrated by ribosomal profiling to determine the impact on UGA recoding in individual selenoproteins. We found, however, that the R543Q variant is thermally unstable in vitro and completely degraded in the mouse liver in vivo, while being partially functional in the brain. The moderate impairment of selenoprotein expression in neurons led to astrogliosis and transcriptional induction of genes associated with immune responses. We conclude that differential SECISBP2 protein stability in individual cell types may dictate clinical phenotypes to a much greater extent than molecular interactions involving a mutated amino acid in SECISBP2.
Heterologous expression of the apple hexose transporter MdHT2.2 altered sugar concentration with increasing cell wall invertase activity in tomato fruit

Summary Sugar transporters are necessary to transfer hexose from cell wall spaces into parenchyma cells to boost hexose accumulation to high concentrations in fruit. Here, we have identified an apple hexose transporter (HTs), MdHT2.2, located in the plasma membrane, which is highly expressed in mature fruit. In a yeast system, the MdHT2.2 protein exhibited high 14C‐fructose and 14C‐glucose transport activity. In transgenic tomato heterologously expressing MdHT2.2, the levels of both fructose and glucose increased significantly in mature fruit, with sugar being unloaded via the apoplastic pathway, but the level of sucrose decreased significantly. Analysis of enzyme activity and the expression of genes related to sugar metabolism and transport revealed greatly up‐regulated expression of SlLIN5, a key gene encoding cell wall invertase (CWINV), as well as increased CWINV activity in tomatoes transformed with MdHT2.2. Moreover, the levels of fructose, glucose and sucrose recovered nearly to those of the wild type in the sllin5‐edited mutant of the MdHT2.2‐expressing lines. However, the overexpression of MdHT2.2 decreased hexose levels and increased sucrose levels in mature leaves and young fruit, suggesting that the response pathway for the apoplastic hexose signal differs among tomato tissues. The present study identifies a new HTs in apple that is able to take up fructose and glucose into cells and confirms that the apoplastic hexose levels regulated by HT controls CWINV activity to alter carbohydrate partitioning and sugar content.
Update ESC-Leitlinie Synkope 2018

Was ist neu? Initiale Abklärung und Risikostratifizierung Die neue Leitlinie bietet eine klare Anleitung zur sicheren und effizienten Abklärung und Therapie von Patienten mit Synkopen. Neue Konzepte beinhalten Strategien zur Risikostratifizierung, vernünftigen Entscheidung für den diagnostischen Pfad sowie restriktive Kriterien für eine stationäre Aufnahme. Diagnostische Tests Aufwertung des EKG-Monitorings mittels implantierbarem Loop-Rekorder (ILR). Bewertung des Kipptisch-Tests als Bestätigungstest bei V. a. Reflexsynkope oder Nachweis einer unspezifischen Hypotonie-Neigung. Videoaufzeichnungen durch Smartphones werden einbezogen. Vorgehen bei ungeklärter Synkope Empfehlung zu einem klaren diagnostischen Entscheidungspfad zum Asystolie-Nachweis für Patienten > 40 Jahre mit schweren, rezidivierenden und unvorhersehbaren (ohne Prodromi einsetzenden) Synkopen. Therapie der Synkopen Geänderte Algorithmen zur Therapie von Reflexsynkopen inkl. der seltenen Indikationsstellung zur Schrittmachertherapie. Indikation zur Implantation eines ICD (implantierbarer Kardioverter-Defibrillator) bei hohem Risiko für den plötzlichen Herztod. Organisatorische Aspekte Interdisziplinäre Synkopen-Einheiten werden empfohlen.
Induced Host Resistance by Non-pathogenic Fusarium Endophyte as a Potential Defense Mechanism in Fusarium Wilt Management of Banana Adeline

In this study, the role of a fungal endophyte identified as Fusarium spp. UPM31P1 in suppressing Fusarium wilt development in susceptible banana plantlets via induced host resistance was established. The endophyte, isolated from roots of wild banana, elicited the production of host enzymes related to induced resistance upon reintroduction into the commercial cultivar Pisang Berangan “Intan”. A significant increase in all levels of enzymes and biochemical markers assayed (peroxidase, polyphenoloxidase, phenylalanine ammonia lyase, phenol content and lignothioglycolic acid) was observed as compared to levels in plantlets from control. In comparison between diseased plantlets pre-treated and non-treated with endophyte UPM31P1, enzymatic levels were also significantly higher in plantlets pretreated with endophytes. As a result, the endophyte pre-treated plantlets recorded lower percentages of disease incidence and disease severity, suggesting the possible role of induced host resistance triggered by the endophytic UPM31P1 as a mechanism for Fusarium wilt suppression. _____________________________________________________________________________________________________________
VAGANOV-SHASKIN MODEL FOR TREE-RING GROWTH

The efficiency of the process-based Vaganov-Shashkin model for tree-ring growth simulation has been tested previously on extensive dendrochronological material from the Northern Hemisphere in USA, China, Russia, Tunisia, Spain and France. But using the model is not a trivial task, taking into account a number of the model parameters that should be adjusted for the certain environmental conditions based on parameterization approach. Here we present a new web tool of the VS-model parameterization, i.e. VSOscilloscope online, which can be used any computer platform due to the universal internet technologies. The software was tested on different datasets, and results of the web simulation were identical to the modeling based on previous version of parameterization – VS-Oscilloscope as a benchmark. It provides researchers an opportunity to use the complex model for visual simulation, reconstruction and forecast realistic tree-ring growth based on daily climatic conditions.
A Flow Sensing Bioinspired Robot

september 2014 • Ieee rObOtICs & AUtOmAtION mAGAZINe • 1070-9932©2014IEEE Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee. org/publications_standards/publications/rights/index.html for more information. By Otar Akanyeti, Jennifer C. Brown, Lily D. Chambers, Hadi el Daou, Maria-Camilla Fiazza, Paolo Fiorini, Jaas Ježov, David S. Jung, Maarja Kruusmaa, Madis Listak, Andrew Liszewski, Jacqueline L. Maud, William M. Megill, Lorenzo Rossi, Antonio Qualtieri, Francesco Rizzi, Taavi Salumäe, Gert Toming, Roberto Venturelli, Francesco Visentin, and Massimo De Vittorio FILOSE for Svenning
Datasets Used in Fifteen Years of Automated Requirements Traceability Research

Datasets Used in Fifteen Years of Automated Requirements Traceability Research Palak Sharma Supervising Professor: Dr. Mehdi Mirakhorli Datasets are crucial to advance automated software traceability research. Acquiring such datasets come in a high cost and require expert knowledge to manually collect and validate them. Obtaining such software development datasets has been one of the most frequently reported barrier for researchers in the software engineering domain in general. This problem is even more acute in field of requirement traceability, which plays crucial role in safety critical and highly regulated systems. Therefore, the main motivation behind this work is to analyze the current state of art of datasets used in the field of software traceability. This work presents a first-of-its-kind literature study to review and assess the datasets that have been used in software traceability research over the last fifteen years. It articulates several attributes related to these datasets such as their characteristics, threats and diversity. Firstly, 202 primary studies (refer Appendix A) were identified for purpose of this study, which were used to derive 73 unique datasets. These 73 datasets were studied in-depth and several attributes (size, type, domain, availability, artifacts) were extracted (refer Appendix B). Based on analysis of the primary studies, a threat to validity reference model, vi tailored to Software traceability datasets was derived (refer to figure 4.4). Furthermore, to put some light upon the dataset diversity trend in the Software traceability community, a metric called Dataset Diversity Ratio was derived for 38 authors (refer to figure 4.5) who have published more than one publication in field of software traceability.
Dalam program pemuliaan gandum secara konvensional, ratusan ribu galur dibutuhkan untuk menghasilkan varietas baru setiap beberapa tahun. Biaya yang mahal adalah pada uji multilokasi dan evaluasi untuk beberapa sifat, terutama kualitas hasil biji dan stabilitas hasil. Bioteknologi diharapkan dapat m

Gandum merupakan komoditas pangan penting dunia dengan produksi 624 juta ton pada tahun 2005 (FAO 2006). Komoditas ini adalah sumber utama karbohidrat sehingga penelitian peningkatan produksi gandum diupayakan melalui teknik bioteknologi. Ke depan, permintaan sereal diperkirakan tumbuh sebesar 50% seiring dengan meningkatnya kebutuhan (Reynolds and Borlaug 2006). Di Eropa, sejak tahun 1950-an, hasil panen gandum meningkat rata-rata 0,1 t/ha, yang merupakan dampak dari perbaikan teknologi budi daya maupun perakitan dan pengembangan varietas baru.
Effect of mating ratio on the laying performance , hatching characteristics , feeding and housing cost of Japanese quails

A total of 438 4-wk old Japanese quails (288 females and 150 males) grouped at different mating ratios were used to evaluate the laying performance. The birds were divided into 4 mating groups: 1:1, 1:2, 1:3 and 1:4. Each group comprised of 72 females while males were varied according to the mating ratios, i.e., 72, 36, 24 and 18 males, respectively. Birds were replicated thrice (24 female birds each) in a Completely Randomized Design and raised in colonies. A total of 50 eggs were collected for incubation from the respective mating ratio groups. Data were collected on laying performance, hatching characteristics and feeding and housing cost. Results revealed that the age at first lay of the birds, weight of the birds at first lay, egg weight at first lay, average number of eggs laid per bird, hen day production, average weight of eggs and feed : egg ratio were not significantly influenced by the mating ratios. Total feed intake per mating ratio group, total feed cost (N9025.13, N7136.30, N6104.62 and N5753.83), floor space per mating ratio group and housing cost per group (N4500, N3375, N3000 and N2812.50) increased as the mating ratio increased. Incubation weight loss and fertility were similar (P>0.05) among the mating ratios. However, hatchability was better in 1:1 (73.43%) and 1:2 (74.26%) than others. It can be concluded that mating ratio did not influence laying performance and egg fertility, however, hatchability declined as male to female ratio reduced beyond 1: 2.
Construction of the Non-Thermal Helium Plasma Jet using Two Electrodes and studying its Characteristics

In this work, a homemade plasma jet system has been constructed. The system which used in this work was a dielectric barrier discharge (DBD) type atmospheric pressure plasma jet (APPJ). It was applied to generate a non-thermal plasma using an alternating current (AC) power supply (providing voltages 4,6,8 and 10 ) kVp−p and frequencies up to 20 kHz) with one types of noble gas(helium). The system was based on two electrodes configuration, where the configuration based on double-ring electrodes structure. Each configuration used two types of Pyrex tube with wall thickness of 0.8 mm and then when we changed to a pyrex tube with (1) mm we noticed no plasma was generated and studying all the characteristics
Exploring contExt clustEring for tErm translation

Many tasks in natural language processing, such as machine translation, word sense disambiguation, word translation disambiguation, require analysis of contextual information. In case of supervised approaches this analysis is performed by human experts, which is very costly. Unsupervised approaches offer fully automatic methods to fulfill these tasks. Yet these methods are not robust, their results are very parameter-dependent and difficult to interpret. Context clustering is an unsupervised technique for analysis of context similarities. In this work we explore dependencies of context clustering results from various clustering parameters. We also explore suitability of the context clustering for word translation disambiguation by evaluating the clustering results against known classes that are classes of translation candidates.
Proof of concePt statistical sentiment classification at romiP 2011

In this paper we present a simple statistical classification method that predicts whether the opinion expressed by text in natural language is positive or negative. There are two main approaches in the sentiment or opinion detection: linguistic rule based systems and statistical algorithms. While statistical methods are easier to build when sufficient training data is available, it is widely perceived that a linguistic system can deliver better results. Our work was intended to prove the concept that a simple Naïve Bayes based statistical classification algorithm with a minor language dependent adaptation is able to perform well in a binary sentiment classification task. In order to prove the hypothesis, we participated in Russian Information Retrieval Seminar (ROMIP) 2011 sentiment classification track [1], and achieved quite competitive results in sentiment prediction of Russian blog posts. This paper contains a detailed description of our classification method, including a feature extraction and normalization process, training and test data, evaluation metrics; and presents our official ROMIP results.
CHALLENGES IN IMPLEMENTING SUSTAINABLE SUPPLY CHAIN MANAGEMENT AMONG SELECTED SUPERMARKETS IN NAIROBI , KENYA

The purpose of this study was to find out the challenges encountered by supermarkets in implementing sustainable supply chain management in Kenya. The study focused on five supermarkets in Nairobi CBD area and they are; Nakumatt, Naivas, Ukwala, Tuskys and Uchumi. The specific objectives were to establish the extent organization culture, resources; stakeholders and government regulation affect implementation of SSCM among selected supermarkets in Nairobi CBD area. The study was guided by organization culture theory, systems theory, resource based view theory and institutional theory. The study employed a descriptive research design. The target population comprised of 92 managers in the five selected supermarkets. They included senior managers, branch managers/assistant branch managers and departmental heads. Since the study population was small and variable, census approach was adopted whereby all the 92 managers formed the sample size of the study. Primary data was collected by administration of questionnaires to the managers. A pilot survey was conducted whereby 5 respondents in the five supermarkets in CBD area participated. Descriptive and inferential statistics were used for the analysis, and data was presented using frequency tables, bar graphs and pie charts. The findings showed that organization culture, stakeholder involvement, resources and government policies influence implementation of sustainable supply chain management. The study concluded that management support influence implementation of sustainable supply chain management. Stakeholders, such as manufacturers, supplier and customers influence the implementation of sustainable supply chain management. Resources and especially financial resources are also important in the implementation of SSCM. The study recommends awareness creation among supermarkets in Kenya on how to implement sustainable procurement and the government to create legally binding policies and framework of enforcing implementation of sustainable supply chain management measures.