SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Adaptive Soft Frequency Reuse Scheme for Wireless Cellular Networks

Spectrum scarcity and intercell interference (ICI) are two fundamental limiting factors in wireless cellular systems. Soft frequency reuse (SFR) has been proposed as an effective way to manage the spectrum and reduce ICI in cellular systems. In a static SFR scheme, the allocations of transmit power or subcarriers in each cell are fixed prior to system deployment. This limits the potential performance of the SFR scheme. In this paper, we propose an intercell resource-allocation algorithm, which is referred to as the adaptive SFR algorithm (ASFR), that dynamically optimizes subcarrier and power allocations for multicell wireless networks to improve system capacity. The ASFR first finds the subcarrier and power allocations in each cell by using exhaustive search and greedy descend methods and then iteratively repeats among cells until a predefined convergence criterion is satisfied. The theoretical analysis proves the convergence of the ASFR algorithm. Simulation results show that the ASFR achieves a higher system throughput and better cell edge user performance than existing frequency reuse schemes.
Self‐initiated expatriation and self‐initiated expatriates

Purpose This paper aims to move towards clarification of the self‐initiated expatriate/expatriation construct with the aim of extending and deepening theory development in the field. Design/methodology/approach Drawing on Suddaby's think piece on construct clarity, this paper applies his proposed four elements; definitional clarity, scope conditions, relationships between constructs and coherence, in order to clarify the SIE construct. Findings The discussion examines the “problem of definition” and its impact on SIE scholarship. The spatial, temporal and value‐laden constraints that must be considered by SIE scholars are expounded, and the links between SIE research and career theory are developed. From this, potential research agendas are proposed. Research limitations/implications This is a conceptual piece which, rather than giving precise research data, encourages further thinking in the field. Originality/value Although the definitional difficulties of SIEs have been identified in previous literature, this is the first attempt to clarify the boundaries of SIE and its interconnectedness with other related constructs.
Posterior reversible encephalopathy syndrome in neuroblastoma patients receiving anti-G<sub>D2</sub>3F8 monoclonal antibody

Posterior reversible encephalopathy syndrome (PRES) comprises clinical and radiologic findings with rapid onset and potentially dire consequences. Patients experience hypertension, seizures, headache, visual disturbance, and/or altered mentation. Magnetic resonance imaging reveals edematous changes in the brain (especially in the parietal and occipital lobes). In this report, the authors describe PRES associated with antidisialoganglioside (anti-GD2 ) monoclonal antibody (MoAb) immunotherapy, which is now standard for high-risk neuroblastoma but has not previously been implicated in PRES.Successive clinical trials using the anti-GD2 MoAb 3F8 (a murine immunoglobulin 3 MoAb specific for GD2) for patients with neuroblastoma involved multiple cycles of standard-dose 3F8 (SD-3F8) (20 mg/m2 daily for 5 days per cycle) or 2 cycles of high-dose 3F8 (HD-3F8) (80 mg/m2 daily for 5 days per cycle) followed by cycles of SD-3F8.PRES was diagnosed in 5 of 215 patients (2.3%), including 3 of 160 (1.9%) who received SD-3F8 and 2 of 55 (3.6%) who received HD-3F8 (P = .6). All 5 patients had a rapid return to clinical-radiologic baseline. PRES occurred in 3 of 26 patients (11.5%) whose prior treatment included external-beam radiotherapy to the brain (2 of 6 patients status-post total body irradiation and 1 of 20 patients status-post craniospinal irradiation) compared with 2 of 189 patients (1.1%) who had not received prior brain irradiation (P = .01). Hypertension, which is strongly linked to PRES, reached grade 3 toxicity in 12 of 215 patients (5.6%), including the 5 patients with PRES and 7 patients without PRES.Patients who receive anti-GD2 MoAb immunotherapy should be closely monitored for, and undergo urgent treatment or evaluation of, symptoms that may herald PRES (eg, hypertension or headaches). Prior brain irradiation may be a predisposing factor for PRES with this immunotherapy.
Comparing predictors of conversion and decline in mild cognitive impairment

A variety of measurements have been individually linked to decline in mild cognitive impairment (MCI), but the identification of optimal markers for predicting disease progression remains unresolved. The goal of this study was to evaluate the prognostic ability of genetic, CSF, neuroimaging, and cognitive measurements obtained in the same participants.APOE epsilon4 allele frequency, CSF proteins (Abeta(1-42), total tau, hyperphosphorylated tau [p-tau(181p)]), glucose metabolism (FDG-PET), hippocampal volume, and episodic memory performance were evaluated at baseline in patients with amnestic MCI (n = 85), using data from a large multisite study (Alzheimer's Disease Neuroimaging Initiative). Patients were classified as normal or abnormal on each predictor variable based on externally derived cutoffs, and then variables were evaluated as predictors of subsequent conversion to Alzheimer disease (AD) and cognitive decline (Alzheimer's Disease Assessment Scale-Cognitive Subscale) during a variable follow-up period (1.9 +/- 0.4 years).Patients with MCI converted to AD at an annual rate of 17.2%. Subjects with MCI who had abnormal results on both FDG-PET and episodic memory were 11.7 times more likely to convert to AD than subjects who had normal results on both measures (p <or= 0.02). In addition, the CSF ratio p-tau(181p)/Abeta(1-42) (beta = 1.10 +/- 0.53; p = 0.04) and, marginally, FDG-PET predicted cognitive decline.Baseline FDG-PET and episodic memory predict conversion to AD, whereas p-tau(181p)/Abeta(1-42) and, marginally, FDG-PET predict longitudinal cognitive decline. Complementary information provided by these biomarkers may aid in future selection of patients for clinical trials or identification of patients likely to benefit from a therapeutic intervention.
Quantum computational universality of Affleck-Kennedy-Lieb-Tasaki states beyond the honeycomb lattice

Universal quantum computation can be achieved by simply performing single-spin measurements on a highly entangled resource state, such as cluster states. The family of Affleck-Kennedy-Lieb-Tasaki (AKLT) states has recently been explored; for example, the spin-1 AKLT chain can be used to simulate single-qubit gate operations on a single qubit, and the spin-3/2 two-dimensional AKLT state on the honeycomb lattice can be used as a universal resource. However, it is unclear whether such universality is a coincidence for the specific state or a shared feature in all two-dimensional AKLT states. Here we consider the family of spin-3/2 AKLT states on various trivalent Archimedean lattices and show that in addition to the honeycomb lattice, the spin-3/2 AKLT states on the square octagon $(4,{8}^{2})$ and the ``cross'' $(4,6,12)$ lattices are also universal resource, whereas the AKLT state on the ``star'' $(3,{12}^{2})$ lattice is likely not due to geometric frustration.
Categorization Extraction Algorithm for Scientific-Related News on Websites

There are a lot of non-scientific-related news on Websites. In order to improve the useful value for the news information,a novel multilevel dichotomous model of text automatic categorization extraction system for technology news based on TF-IDF was designed and implemented. The news offered by government news website and Phoenix as the research background in scientific news categorization extraction. Experiments showed a85. 3 percent accuracy for scientific-related news and 82. 9 percent recognition rate for nonscientific-related news respectively in the test containing two hundred thousand documents and more than four thousand news classifications. The results showed that the proposed method offered a useful reference model on website scientific intelligence.
Telepediatria: normas, legislação e ética

A pandemia pela Covid-19 alterou de forma significativa a forma de oferta de cuidados e a atenção à saúde. A telessaúde passou por uma transformação rápida e massiva, com um grande aumento de pacientes e provedores experientes em seu uso. As novas práticas devem considerar modelos de prestação de cuidados nos quais a telessaúde e o atendimento presencial sejam ainda mais integrados, seguindo as legislações e regras de convivência. Este artigo tem como objetivo discutir as legislações atuais para esta nova prática, em especial ao que se refere à telepediatria. No Brasil, novas leis e resoluções foram publicadas. A Sociedade Brasileira de Pediatria elaborou um guia para propiciar dados e orientações sobre estas novas práticas. O padrão ouro é a consulta presencial, mas a telemedicina atualmente ocupa papel de destaque na atenção à saúde. Neste novo modelo é importante auxiliar os profissionais e os pais/responsáveis pelos pacientes a utilizar de forma legal e responsável as ferramentas disponíveis. As legislações que asseguram a confidencialidade, sigilo e segurança dos dados tem sido cada vez mais aprimoradas. A questão ética para a assistência não difere da forma presencial e as boas práticas de publicidade devem ser seguidas.
Social connectedness in urban areas

Abstract We use de-identified and aggregated data from Facebook to explore the spatial structure of social networks in the New York metro area. We find that a substantial share of urban residents’ connections are to individuals who are located nearby. We also highlight the importance of transportation infrastructure in shaping urban social networks by showing that social connectedness declines faster in travel time and travel cost than it does in geographic distance. We find that areas that are more socially connected with each other have stronger commuting flows, even after controlling for geographic distance and ease of travel. We also document significant heterogeneity in the geographic breadth of social networks across New York zip codes, and show that this heterogeneity correlates with access to public transit. Zip codes with geographically broader social networks also have higher incomes, higher education levels, and more high-quality entrepreneurial activity. We also explore the social connections between New York zip codes and foreign countries, and highlight how these are related to past migration movements.
Techno-Environmental Platform for the Agro-food Sector in the Mediterranean

The Proposal for the Project “Techno-Environmental Platform for the Agro-food Sector in the Mediterranean” aims at the promotion of the eco-innovation in companies belonging to the Agro-food Sector, mainly SMEs, by the creation of a platform sustainable in time and which promotes the transfer of Environmental Technologies and Eco-innovation best practices through the exchange of information and development of joint actions. This will contribute to the promotion of exchange of information related to Eco-innovation and Environmental Technologies in the agro-food in the Mediterranean so that organizations incorporate eco-innovation into their processes. In addition, this will improve the environmental behaviour of agro-food companies in the Mediterranean area, through the implementation of Environmental Technologies and the transfer of management best practices. The project answers the increasing importance of the Environmental Technologies due to its contribution to the reduction of the pressure natural resources, to the improvement of citizens’ quality of life and to its contribution to competitiveness and economic growth. This project also responds to the EU Environmental Technologies Action Plan (ETAP), adopted in 2004, to support both innovation and development of Environmental Technologies and their introduction onto the market. Environmental Technologies can be defined as those which are less harmful for the Environment than the corresponding alternatives.
Zebra GC: A mini gas chromatography system for trace-level determination of hazardous air pollutants

Abstract A ready-to-deploy implementation of a microfabricated gas chromatography (μGC) system characterized for detecting hazardous air pollutants (HAPs) at parts-per-billion (ppb) concentrations in complex mixtures has been described. A microfabricated preconcentrator (μPC), MEMS separation column with on-chip thermal conductivity detector (μSC-TCD), flow controller unit, and all necessary flow and thermal management as well as user interface circuitry are integrated to realize a fully functional μGC system. The work reports extensive characterization of μPC and μSC-TCD for target analytes: benzene, toluene, tetrachloroethylene, chlorobenzene, ethylbenzene, and p-xylene. A Limit of Detection (LOD) of ∼1 ng was achieved, which corresponds to a sampling time of 10 min at a flow rate of 1 mL/min for an analyte present at ∼25 ppbv. An innovative method using flow-manipulation generated sharp injection plugs from the μPC even in the presence of a flow-sensitive detector like a μTCD. The μGC system is compared against conventional automated thermal desorption–gas chromatography–flame ionization detector (ATD–GC–FID) system for real gasoline samples in simulated car refueling scenario. The μGC system detected five peaks, including three of the target analytes and required ∼3 orders of magnitude lower sample volume as compared to the conventional system.
Frankincense derived heavy terpene cocktail boosting breast cancer cell (MDA-MB-231) death in vitro

Abstract Objective To investigate the anti-cancer effect of frankincense derived heavy oil obtained by Soxhlet extraction method on breast cancer cells (MDA-MB-231), and to study its chemical profile using gas chromatography mass spectrometry analysis. Methods Hexane was used to extract heavy oil from frankincense resin. Chemical profiling of heavy oil was done using Perkin Elmer Clarus GC system with mass spectrometer. MDA-MB-231 cells were treated with different dilutions (1:1 000, 1:1 500, 1:1 750, 1:2 000, 1:2 250, 1:2 500, 1:2 750, 1:3 000, 1:3 250) of heavy oil for 24 h. The cells were observed by using light microscopy. Cell viability was measured by MTT assay. Results Gas chromatography mass spectrometry chemical profiling of frankincense derived heavy oil revealed the presence of terpenes such as α-pinene (61.56%), α-amyrin (20.6%), β-amyrin (8.1%), β-phellandrene (1.47%) and camphene (1.04%). Heavy terpene cocktail induced significant MDA-MB-231 cell death at each concentration tested. Noticeably, very low concentration of Soxhlet derived heavy terpenes elicits considerable cytotoxicity on MDA-MB-231 cells compared to hydro distillated essential oil derived from frankincense resin. Conclusions Extracting anti-cancer active principle cocktail by simple Soxhlet method is cost effective and less time consuming. Our in vitro anti-cancer data forms the rationale for us to test heavy terpene complex in breast cancer xenograft model in vivo. Furthermore, fractionation and developing frankincense heavy terpene based breast cancer drug is the major goal of our laboratory.
Coopetition Disadvantages: The Case of the High Tech Companies

Coopetition (simultaneous cooperation and competition between competitors) is rapidly becoming a key success factor for enterprises operating in the contemporary business world. The literature on coopetition characterizes these relationships mostly in the context of the benefits achieved; however, coopetition is fraught with threats arising mainly from both the coexistence and interaction of streams of cooperation and competition between competitors. Research on a sample of 235 companies operating in the high technology sector (HT) in Poland has shown that there are a number of risks accompanying coopetition. The most common amongst them are the low efficiency of activities and goals pursued (statistically significant for all the activities of the value chain as areas of cooperation). The areas of coopetition that are most exposed to risk are sales and distribution, logistics and finance (nine out of 12 risks analyzed). Due to the similarity of the frequency of occurrence of particular threats to coopetition, and using the method of cluster analysis, four groups of value chain areas with similar risks have been identified. The first such group is finance and marketing, the second is sales and production, the third is human resources and logistics, and finally the fourth is information technology, purchasing inputs and R&D. When selecting the area of competitive cooperation corresponding to the individual clusters of the value chain activities, one may expect the occurrence of similar threats to coopetition. The research findings allow interested parties to predict threats to coopetition when choosing specific areas of cooperation and thus an extension to cooperation between competitors which will not increase the quantity of these threats. DOI: http://dx.doi.org/10.5755/j01.ee.28.5.16421
AUTHENTICATION AND SECURED INFORMATION EXCHANGE SYSTEM, AND METHOD THEREFOR

Identity based encryption (IBE). An IBE server assigns a private and public key pair to a client device based on a unique identification of the client device. To establish an encrypted session with the client device a server device requests the client device's public key from the IBE server. Authentication of the client and the server by the IBE server is based on credentials or a token. Assigned keys are securely stored in an embedded trusted platform provided in the client device
Method and device for excerpt licensing

There are times when a first user may wish to distribute an excerpt of a protected digital content (120) to a second user, for example for criticism. The protected digital content (120) is divided into a plurality of parts (130), each part (130) being encrypted using a control word specific for the part (130), wherein each control word can be generated from a master control word for the protected digital content (120). A device (400) belonging to the first user selects (S31) the parts (130) of the excerpt; generates (S33) the control words for the selected parts (130) from the master control word; generates (S33) a license for the selected parts (130), the license comprising the control words for the selected parts; and transmits (S35) the selected parts (130) and the license to the receiver of the second user. Also provided is the device (400) of the first user.
The World of Smurfs: A Celebration of Tiny Blue Proportions

began as a comic strip in October 1958 in Belgium and quickly gained popularity, launching popular comic books and the classic figurines still sold today, but it wasn't until the NBC eighties cartoon that audiences everywhere fell in love with Papa Smurf and Smurfette. After years of re-runs the Smurfs are hitting the big screen. This summer Sony is releasing a life-action Smurf film starring Neil Patrick Harris and Hank Azaria (Gargamel) and featuring voices from Katy Perry, Alan Cumming, George Lopez, and many more. The upcoming film release has generated new publicity for the series and has introduced a whole new generation to the characters. World of will feature extensive character bios of Smurf village residents like Papa Smurf, Smurfette, and Hefty. It will also delve into the history of the smurfs, with a biography of the creator, Peyo, and a look back at the popular Hanna-Barbera produced cartoon series. And of course, no history of the smurfs would be complete without a behind-the-scenes look at their upcoming movie. World of will be the ultimate collector's item for both new and old fans. The upcoming Smurfs movie has reignited pop culture's focus on these little blue characters, and there is no other book that chronicles the smurf's history from comic strip to cartoon to live-action movie. Ours will be the first and only book for all the smurf fans.
The animated museum

The concept of the “Animated Museum” stems from the “Street Museum” project implemented by the Sergej Mašera Museum of Piran-Pirano. In this sense, the Animated Museum offers to a public of young people and children, innovative forms of animation of artworks, in order to stimulate their curiosity and their interest in the museum’s collection and therefore in their own historical and cultural roots. The project aims at diversifying the tourism offer and fostering a cultural thematic tourism that promotes cross-border cooperation: for this reason actions were carried out to raise awareness among school authorities and the relevant local, public institutions, to encourage their participation in the project and its implementation. Contacts were set up with schools to plan theatre workshops managed by the students themselves, and aimed at five animated visits to the Museums of Reclamation. Moreover, theatre and museum experts helped the students in the setting up of theatrical performances, that were subsequently presented in the course of the visits to the Museums. A good contact network was set up with Italian and Slovenian schools, while a telematic network was created among the various cross-border schools, which enabled an intercultural dialogue and exchange. In conclusion, the project implemented a tourist promotion action followed by the production of information material, which resulted in the one-day event entitled “The Animated Museum meets the children”, an opportunity to showcase this innovative strategy of communication and education undertaken by the project.
Spark-Based Political Event Coding

Political event data have been widely used to study international politics. Previously, natural text processing and event generation required a lot of human efforts. Today we have high computing infrastructure with advance NLP metadata to leverage those tiresome efforts. TABARI -- an open source non distributed event-coding software -- was an early effort to generate events from a large corpus. It uses a shallow parser to identify the political actors, but ignores semantics and relation among the sentences. PETRARCH, the successor of TABARI, encodes event data into who-did-what-to-whom format. It uses Stanford CoreNLP to parse sentences and a static CAMEO dictionary to encode the data. To build dynamic dictionaries, we need to analyze more metadata such as the token, Named Entity Recognition (NER), co-reference, and many more from parsed sentences. Although these tools can code modest amounts of source corpora into event data they are too slow and suffer scalability issues when we try to extract metadata from a single document. The situation gets worse for other languages like Spanish or Arabic. In this paper, we develop a novel distributed framework using Apache Spark, MongoDB, Stanford CoreNLP, and PETRARCH. It shows a distributed workflow by using Stanford CoreNLP to extract all the metadata (parse tree, tokens, lemma, etc.) from the news corpora of the Gigaword dataset and storing it to MongoDB. Then it uses PETRARCH to encode events from the metadata. The framework integrates both tools using distributed commodity hardware and reduces text processing time substantially with respect to a non-distributed architecture. We have chosen Spark over traditional distributed frameworks like MapReduce, Storm, Mahout. Spark has in-memory computation and lower processing time in both batch and stream processing compared to other options.