Miracle-dz/UniFAR-FTUs huggingface dataset:
BERT-Based Natural Language Processing System for Online Social Information Retrieval on Illness Tracking

With the growing rise of digital platforms such as facebook, twitter and others that attract billions of people around the world, it has gained a lot of traction as a source of unstructured data. The volume of unstructured data is expected to expand at a 60 percent annual rate in the future years. The emergence of social media has facilitated the expansion of unstructured data. Thanks to social media, everyone may now express and share their thoughts and opinions on a wide range of topics. Infodemiology is one such popular and rapidly expanding information retrieval method (i.e., information epidemiology). As per the concept, a set of approaches that study data, particularly health data on the internet, for the purpose of public health studies and policy. Web data is analyzed to detect disease outbreaks faster than traditional surveillance in infoveillance (also known as information surveillance). This research has created a prototype software model for extracting spatiotemporal diseases from diverse data sources in this vein. To identify prospective sickness instances, the proposed method gathered tweets and other postings and used NLP semantic algorithms with transformers called BERT. The prototype system is tuned to improve disease detection using rules given by dissimilar semantic similarity algorithms. The prototype’s output is a visual representation of likely disease forms and spread, which is a straight IE produce from Twitter and other sites.
Characterization of the angR Gene ofVibrio anguillarum: Essential Role in Virulence

ABSTRACT The ability to utilize the iron bound by high-affinity iron-binding proteins in the vertebrate host is an important virulence factor for the marine fish pathogen Vibrio anguillarum. Virulence in septicemic infections is due to the presence of a highly efficient plasmid-encoded iron transport system. AngR, a 110-kDa protein component of this system, appears to play a role in both regulation of the expression of the iron transport genes fatDCBA and the production of the siderophore anguibactin. Therefore, study of the expression of the angR gene and the properties of its product, the AngR protein, may contribute to the understanding of the mechanisms of virulence of this pathogen. In this work, we present genetic and molecular evidence from transposition mutagenesis experiments and RNA analysis that angR, which maps immediately downstream of the fatA gene, is part of a polycistronic transcript that also includes the iron transport genesfatDCBA and angT, a gene located downstream ofangR which showed domain homology to certain thioesterases involved in nonribosomal peptide synthesis of siderophores and antibiotics. In order to dissect the specific domains of AngR associated with regulation of iron transport gene expression, anguibactin production, and virulence, we also generated a panel of site-directed angR mutants, as well as deletion derivatives. Both virulence and anguibactin production were dramatically affected by each one of the angRmodifications. In contrast to the need for an intact AngR molecule for anguibactin production and virulence, the regulation of iron transport gene expression does not require the entire AngR molecule, since truncation of the carboxy terminus carrying the nonribosomal peptide synthetase cores, as well as the site-directed mutations, resulted in derivatives that retained their ability to regulate gene expression which was only abolished after truncation of amino-terminal sequences containing helix-turn-helix and leucine zipper motifs and a specialized heterocyclization and condensation domain found in certain nonribosomal peptide synthetases. The evidence, while not rigorously eliminating the possibility that a separate regulatory polypeptide exists and is encoded somewhere within the 5′-end region of the angRgene, strongly supports the idea that AngR is a bifunctional protein and that it plays an essential role in the virulence mechanisms ofV. anguillarum. We also show in this study that theangT gene, found downstream of angR, intervenes in the mechanism of anguibactin production but is not essential for virulence or iron transport gene expression.
ROCK1 Phosphorylates and Activates Zipper-interacting Protein Kinase*

Zipper-interacting protein kinase (ZIPK) regulates Ca2+-independent phosphorylation of both smooth muscle (to regulate contraction) and non-muscle myosin (to regulate non-apoptotic cell death) through either phosphorylation and inhibition of myosin phosphatase, the myosin phosphatase inhibitor CPI17, or direct phosphorylation of myosin light chain. ZIPK is regulated by multisite phosphorylation. Phosphorylation at least three sites Thr-180, Thr-225, and Thr-265 has been shown to be essential for full activity, whereas phosphorylation at Thr-299 regulates its intracellular localization. Herein we utilized an unbiased proteomics screen of smooth muscle extracts with synthetic peptides derived from the sequence of the regulatory phosphorylation sites of the enzyme to identify the protein kinases that might regulate ZIPK activity in vivo. Discrete kinase activities toward Thr-265 and Thr-299 were defined and identified by mass spectrometry as Rho kinase 1 (ROCK1). In vitro, ROCK1 showed a high degree of substrate specificity toward native ZIPK, both stoichiometrically phosphorylating the enzyme at Thr-265 and Thr-299 as well as bringing about activation. In HeLa cells, coexpression of ZIPK with ROCK1 altered the ROCK-induced phenotype of focused stress fiber pattern to a Rho-like phenotype of parallel stress fiber pattern. This effect was also dependent upon phosphorylation at Thr-265. Our findings provide a new regulatory pathway in smooth muscle and non-muscle cells whereby ROCK1 phosphorylates and regulates ZIP kinase.
Using class separation for feature analysis and combination of class-dependent features

We analyze the class separation of the features in handwriting recognition. Behaviors of measurement tools are studied with a partial and full classifications. A new scheme of selecting and combining class-dependent features is proposed. In this scheme, a class is considered to have its own optimal feature vector for discriminating itself from the other classes. Using an architecture of modular neural networks as the classifier, a series of experiments have been conducted on totally unconstrained handwritten numerals. The results indicate that the selected features are effective in separating pattern classes and the new feature vector derived from a combination of two types of such features further improves the recognition rate.
Hardware Implementation of Collision Avoidance in Inter- Vehicular ADHOC Network Using Zigbee and Stellaris ARM Cortex-M4

To avoid accidents on highway roads, it is necessary to maintain safe distance between vehicles referred as “Inter-Vehicular Distance”. A warning system should be employed inside the vehicle, so that the vehicle could sense the distance between other vehicles by using GPS co-ordinates and ADHOC wireless network and then intimate it to the driver. The main objective of this paper is to implement the Inter Vehicular Adhoc network (IVAN) using Zigbee technology and developing the control circuit using Texas Instruments Stellaris launch pad which uses LM120XL ARM Cortex M4 processor. A graphical LCD is used to display the nearby vehicles dynamic information like position, speed of the vehicle, acceleration, door lock status, break failure, etc., The Zigbee wireless technology itself provides features like data Integrity, low power consumption, low cost, wide coverage area, large network up to 65536 nodes when compared with other wireless technologies. Another objective of this paper is to secure the information passing via Inter-Vehicular ADHOC wireless Network and protect it from intruders. For this a Secure-Pre warning Collision Algorithm (S-PWCA) is implemented in firmware to make the IVAN message more secure. The implementation results show the Zigbee technology is best suit for the IVAN by taking advantage of Low power and coverage area.
Widespread quinolone resistance among methicillin-resistant Staphylococcus aureus isolates in a general hospital

Ofloxacin and ciprofloxacin resistance (MIC, greater than 4 micrograms/ml) was encountered in 45 of 50 clinical isolates of methicillin-resistant Staphylococcus aureus. None of 20 methicillin-susceptible strains was resistant to the quinolones (P less than 10(-6). Quinolone-susceptible and -resistant isolates did not differ with respect to culture source or bacteriophage type. The future usefulness of quinolones for S. aureus infection may be limited.
Bayesian dose–response analysis for epidemiological studies with complex uncertainty in dose estimation

Most conventional risk analysis methods rely on a single best estimate of exposure per person, which does not allow for adjustment for exposure‐related uncertainty. Here, we propose a Bayesian model averaging method to properly quantify the relationship between radiation dose and disease outcomes by accounting for shared and unshared uncertainty in estimated dose. Our Bayesian risk analysis method utilizes multiple realizations of sets (vectors) of doses generated by a two‐dimensional Monte Carlo simulation method that properly separates shared and unshared errors in dose estimation. The exposure model used in this work is taken from a study of the risk of thyroid nodules among a cohort of 2376 subjects who were exposed to fallout from nuclear testing in Kazakhstan. We assessed the performance of our method through an extensive series of simulations and comparisons against conventional regression risk analysis methods. When the estimated doses contain relatively small amounts of uncertainty, the Bayesian method using multiple a priori plausible draws of dose vectors gave similar results to the conventional regression‐based methods of dose–response analysis. However, when large and complex mixtures of shared and unshared uncertainties are present, the Bayesian method using multiple dose vectors had significantly lower relative bias than conventional regression‐based risk analysis methods and better coverage, that is, a markedly increased capability to include the true risk coefficient within the 95% credible interval of the Bayesian‐based risk estimate. An evaluation of the dose–response using our method is presented for an epidemiological study of thyroid disease following radiation exposure. Copyright © 2015 John Wiley & Sons, Ltd.
Open-Circuit Fault Diagnosis for Grid-tied T-Type Inverters Using an LSTM Autoencoder

Grid-tied T-type inverters are widely used in photovoltaic power (PV), Vehicle-to-Grid (V2G) and other power conversion applications. However, their transistors are fragile and prone to open-circuit faults that can lead to power loss or system crashes. An open-circuit fault diagnosis method for grid-tied T-type converters is proposed based on the long short-term memory (LSTM) autoencoder. At first, the autoencoder extracts latent feature vectors automatically from the three-phase current series, and a low-dimensional feature is obtained. Then, the feature vectors are represented as the multivariate Gaussian distribution, and their distribution features are calculated. Finally, in the stage of online diagnosis, the latent features of real-time signals are extracted by only the encoder and used to measure the latent distance between the signals and the fault categories to realize fault diagnosis. The distance measurement ensures the accuracy of diagnosis instead of directly outputting fault categories by the learning model. Experiment results verify the effectiveness of the proposed method.
Automatic spelling correction in scientific and scholarly text

The study of computerized correction of spelling errors has a relatively long history and remains of considerable current interest if regularly appearing papers on the topic are any gauge. Whereas early papers focused on the correction of output from optical character recognition (OCR), voice recognition, Morse code, or on spelling errors in program code, the application of most interest today is probably the correction of machine-readable text. Also, the techniques involved in spelling error correction have other important applications, for example, measuring the similarity of two strings of symbols to determine the evolutionary distance of proteins. The specialized subtopics are covered extensively in recent bibliographies by Peterson [7] and Pollock [8] and are not discussed further here. The most suitable correction strategy for text often depends on both its nature and its source. Correcting source code for a procedural language with a smafl vocabulary of short words (e.g., a typical programming language or the command language for a bibliographic search system) presents quite different problems than scientific text. Similarly, OCR output contains almost exclusively substitution errors, which ordinarily account for less than 20 percent of keyboarded misspellings [9, 10]. This paper describes the correction pro.gram developed as part of SPEEDCOP (Spelling Error. Detection/ ©1984ACM0001-0782/84/0400-0358 75¢ Correction Project), a Chemical Abstracts Service (CAS) project supported by the National Science Foundation. The program is intended not as a theoretical construct but as a useful tool for text editing. Under SPEEDCOP, approximately 25,000,000 words from seven scientific and scholarly textual databases were processed to extract over 50,000 misspellings using a dictionary equivalent to 40,000 words. This contrasts sharply with most work on spelling correction that tends to feature small dictionaries and either few or artificial misspellings. In our case, the use of real data gave credibility to the proposed solution, whereas the large dictionary revealed problems such as ambiguity that would not otherwise have been discovered. Internal reports [10-13] and papers [9, 19] describe in considerable detail how the misspellings were gathered and analyzed. The core of the SPEEDCOP program is an algorithm for correcting only isolated misspellings that contain a single error and whose correct forms are in a dictionary. This is not as drastic a restriction as it may seem as 90-95 percent of misspellings in raw keyboarding typically contain only one error [9, 10]. The SPEEDCOP program also incorporates a common misspelling dictionary and a function word routine and is therefore not rigidly restricted to the above class of misspellings. In practice, the program corrected 85-95 percent of the misspellings for which it was designed, 75-90 percent of those whose corresponding words were in the dic-
Management of upper ureteral stones exceeding 15 mm in diameter: Shock wave lithotripsy versus semirigid ureteroscopy with holmium:yttrium–aluminum–garnet laser lithotripsy

Objectives: We conducted a retrospective study to evaluate the efficacy and outcome of shock wave lithotripsy versus semirigid ureteroscopy in the management of the proximal ureteral stones of diameter exceeding 15 mm. Methods: During the 2009−2014 study period, 147 patients presenting with the proximal ureteral stones exceeding 15 mm in diameter were treated. Both shock wave lithotripsy and ureteroscopy with laser lithotripsy were offered for our patients. A 6/8.9 Fr semirigid ureteroscope was used in conjunction with a holmium:yttrium–aluminum–garnet laser. The stone-free rate was assessed at 2 weeks and 3 months post-treatment. All patients were evaluated for stone-free status, operation time, hospital stay, perioperative complications, and auxiliary procedures. Results: Of the 147 patients who took part in this study, 66 (45%) had undergone shock wave lithotripsy and 81 (55%) underwent ureteroscopy. At the 3-month follow-up, the overall stone-free rate in the shock wave lithotripsy group was 39/66 (59%) compared to 70/81 (86.4%) in the ureteroscopic laser lithotripsy group. Ureteroscopic laser lithotripsy achieved a highly significant stone-free rate (p = 0.0002), and the mean operative time, auxiliary procedures, and postoperative complication rates were comparable between the two groups. Conclusion: In terms of the management of proximal ureteral stones exceeding 15 mm in diameter, ureteroscopy achieved a greater stone-free rate and is considered the first-line of management. Shock wave lithotripsy achieved lower stone-free rate, and it could be used in selected cases.
Subjective religiosity and God image as predictors of mental health

The aim of the present study was to examine if the relationship between subjective religiosity and god image has the power to predict mental health outcomes through religious and non-religious individuals. Especially with regard to non-religious individuals, the god image seems to have predictive value with regard to pathology. In order to measure subjective religiosity, god image and mental health, the God Image Questionnaire and the Brief Symptom Inventory have been administered to a clinical sample (N=337) and to a non-clinical sample (N=150), aged between 18 and 65 years. Statistical analyses revealed that an interaction effect between subjective religiosity and god image predicts pathology, and especially non-religious people with a strong developed god image seem to be pathological. Thus, an inconsistency between subjective religiosity and god image seems to contribute to pathology.
Réseaux sociaux et processus d'apprentissage, une relation complexe et ambivalente

Cette recherche interroge le lien conceptuel entre reseaux sociaux et apprentissage organisationnel a l'aune d'une perspective duale de la connaissance (objet versus flux). Elle prend appui sur une etude de cas qualitative et longitudinale de refonte du systeme d'information d'un grand groupe francais. Quel role jouent les reseaux sociaux dans le transfert de connaissance? Comment les micro- pratiques inscrites dans le reseau impactent la creation et re-creation de la connaissance et finalement l'apprentissage organisationnel ? Quelle influence peuvent avoir les acteurs du reseau sur le transfert de connaissance et l'apprentissage organisationnel ? Quels effets l’apprentissage et le transfert de connaissance ont-ils en retour sur les caracteristiques du reseau social? Par ces questions, nous cherchons a ouvrir “la boite noire” melant reseaux sociaux et processus d'apprentissage, a la lumiere des travaux contemporains traitant de la connaissance organisationnelle comme un flux plutot qu'un objet. Nous defendons ici l'idee que les perspectives mecaniste et organique des liens reseau- apprentissage, reperables dans la litterature, sont complementaires et mutuellement structurantes. L’etude empirique met en evidence l’attention qu’il convient de porter a la dimension sociale du reseau pour comprendre les dynamiques d’apprentissage qui s’y jouent et pour saisir la dynamique de co-construction mutuelle reseau – apprentissages realises dans et par le reseau. Cette conception recursive des liens « reseau social et apprentissage » est appuyee par trois types de resultats empiriques relatifs 1) au reseau comme, a la fois, conduit et construit, 2) au role de la pratique, voire de la micro pratique et 3) a la dialectique entre le pilotage du projet et l’emergence des apprentissages qui s’y deroulent.
Escala de duelo perinatal: validación en mujeres mexicanas con pérdida gestacional

La perdida de un hijo al inicio de la vida constituye uno de los estresores emocionales mas intensos que puede experimentar una mujer. La evaluacion de este proceso de duelo requiere contar con instrumentos confiables y validos. El objetivo del presente trabajo fue determinar las caracteristicas psicometricas de la Perinatal Grief Scale (Escala de Duelo Perinatal, EDP) en una muestra de mujeres mexicanas que habian experimentado perdidas perinatales. La escala fue traducida, retraducida, piloteada y adaptada, para finalmente aplicarla a 200 mujeres que habian experimentado una o mas perdidas perinatales y que asistian a una clinica especializada. Los datos fueron sometidos a los procedimientos estadisticos usuales de validacion (analisis de distribucion de frecuencias,comparacion de grupos extremos, analisis factorial exploratorio y analisis factorial confirmatorio, asi como correlacion entre subescalas) y de evaluacion de consistencia interna, obteniendo indices adecuados de confiabilidad y validez. La EDP quedo conformada por 27 reactivos, agrupados en cuatro subescalas: duelo activo, depresion, culpa y aceptacion. Se discute su utilizacion en la investigacion y en la practica clinica.
Power Balance of a Delta-Connected CHB Converter with MPC for Photovoltaic Systems

Cascaded H-Bridge (CHB) converters are attractive candidates for next generation photovoltaic (PV) inverters. The overall plant can be divided in several PV strings that can be connected to each H-bridge cell. However, due to variability on solar irradiance conditions, each PV string may present different maximum available power levels, which difficult the overall converter operation. In this work, both inter-bridge and inter-cluster power imbalance are directly considered into the optimal control problem by designing a suitable system reference. Thus, the inter-cluster power imbalance is tackled by enforcing the converter to operate with a proper circulating current component. Moreover, the inter-cell imbalance power is achieved by governing the duty cycles independently.
The Jewish Contribution to the Transmission of the Classical Legacy

The transmission and acquisition of the wisdom of the ancients throughout the Middle Ages is a fascinating phenomenon in which languages served as the primary vehicles for this journey of classical culture. The main route – but not the only one – was located on the Mediterranean coasts and incorporated Asia, Europe and Africa. It was a multidirectional journey.
Can sleep quality and wellbeing be improved by changing the indoor lighting in the homes of healthy, elderly citizens?

The study investigated the effect of bright blue-enriched versus blue-suppressed indoor light on sleep and wellbeing of healthy participants over 65 years. Twenty-nine participants in 20 private houses in a uniform settlement in Copenhagen were exposed to two light epochs of 3 weeks with blue-enriched (280 lux) and 3 weeks blue-suppressed (240 lux) indoor light or vice versa from 8 to 13 pm in a randomized cross-over design. The first light epoch was in October, the second in November and the two light epochs were separated by one week. Participants were examined at baseline and at the end of each light epoch. The experimental indoor light was well tolerated by the majority of the participants. Sleep duration was 7.44 (95% CI 7.14–7.74) hours during blue-enriched conditions and 7.31 (95% CI 7.01–7.62) hours during blue-suppressed conditions (p = 0.289). Neither rest hours, chromatic pupillometry, nor saliva melatonin profile showed significant changes between blue-enriched and blue-suppressed epochs. Baseline Pittsburgh Sleep Quality Index (PSQI) was significantly worse in females; 7.62 (95% CI 5.13–10.0) versus 4.06 (95% CI 2.64–5.49) in males, p = 0.009. For females, PSQI improved significantly during blue-enriched light exposure (p = 0.007); no significant changes were found for males. The subjective grading of indoor light quality doubled from participants habitual indoor light to the bright experimental light, while it was stable between light epochs, although there were clear differences between blue-enriched and blue-suppressed electrical light conditions imposed. Even though the study was carried out in the late autumn at northern latitude, the only significant difference in Actiwatch-measured total blue light exposure was from 8 to 9 am, because contributions from blue-enriched, bright indoor light were superseded by contributions from daylight.