Miracle-dz/UniFAR-FTUs huggingface dataset:
Co-infection and co-localization of Kaposi sarcoma-associated herpesvirus and Epstein-Barr virus in HIV-associated Kaposi sarcoma: a case report

Kaposi sarcoma (KS), a multifocal vascular neoplasm frequently observed in HIV-positive individuals, primarily affects the skin, mucous membranes, visceral organs, and lymph nodes. KS is associated primarily with Kaposi sarcoma-associated herpesvirus (KSHV) infection. In this case report, we present a rare occurrence of co-infection and co-localization of KSHV and Epstein-Barr virus (EBV) in KS arising from the conjunctiva, which, to our knowledge, has not been reported previously. Immunohistochemistry (IHC), DNA polymerase chain reaction (PCR), and EBV-encoded RNA in situ hybridization (EBER-ISH) were utilized to demonstrate the presence of KSHV and EBV infection in the ocular KS lesion. Nearly all KSHV-positive cells displayed co-infection with EBV. In addition, the KS lesion revealed co-localization of KSHV Latency-Associated Nuclear Antigen (LANA) and EBV Epstein Barr virus Nuclear Antigen-1 (EBNA1) by multi-colored immunofluorescence staining with different anti-EBNA1 antibodies, indicating the possibility of interactions between these two gamma herpesviruses within the same lesion. Additional study is needed to determine whether EBV co-infection in KS is a common or an opportunistic event that might contribute to KS development and progression.
The Clinical and Genetic Characteristics of Streptococcus agalactiae Meningitis in Neonates

Streptococcus agalactiae (Group B Streptococcus, GBS) is an important pathogen of bacterial meningitis in neonates. We aimed to investigate the clinical and genetic characteristics of neonatal GBS meningitis. All neonates with GBS meningitis at a tertiary level medical center in Taiwan between 2003 and 2020 were analyzed. Capsule serotyping, multilocus sequence typing, antimicrobial resistance, and whole-genome sequencing (WGS) were performed on the GBS isolates. We identified 48 neonates with GBS meningitis and 140 neonates with GBS sepsis. Neonates with GBS meningitis had significantly more severe clinical symptoms; thirty-seven neonates (77.8%) had neurological complications; seven (14.6%) neonates died; and 17 (41.5%) survivors had neurological sequelae at discharge. The most common serotypes that caused meningitis in neonates were type III (68.8%), Ia (20.8%), and Ib (8.3%). Sequence type (ST) is highly correlated with serotypes, and ST17/III GBS accounted for more than half of GBS meningitis cases (56.3%, n = 27), followed by ST19/Ia, ST23/Ia, and ST12/Ib. All GBS isolates were sensitive to ampicillin, but a high resistance rates of 72.3% and 70.7% to erythromycin and clindamycin, respectively, were noted in the cohort. The virulence and pilus genes varied greatly between different GBS serotypes. WGS analyses showed that the presence of PezT; BspC; and ICESag37 was likely associated with the occurrence of meningitis and was documented in 60.4%, 77.1%, and 52.1% of the GBS isolates that caused neonatal meningitis. We concluded that GBS meningitis can cause serious morbidity in neonates. Further experimental models are warranted to investigate the clinical and genetic relevance of GBS meningitis. Specific GBS strains that likely cause meningitis requires further investigation and clinical attention.
Anti-Neurodegenerating Activity: Structure–Activity Relationship Analysis of Flavonoids

An anti-neurodegeneration activity study was carried out for 80 flavonoid compounds. The structure–activity analysis of the structures was carried out by performing three different anti-neurodegeneration screening tests, showing that in these structures, the presence of a hydroxy substituent group at position C3′ as well as C5′ of ring B and a methoxy substituent group at the C7 position of ring A play a vital role in neuroprotective and antioxidant as well as anti-inflammatory activity. Further, we found structure (5) was the top-performing active structure out of 80 structures. Subsequently, a molecular docking study was carried out for the 3 lead flavonoid compounds (4), (5), and (23) and 21 similar hypothetical proposed structures to estimate the binding strength between the tested compounds and proteins potentially involved in disease causation. Ligand-based pharmacophores were generated to guide future drug design studies.
Different Types of El Nino Events and Their Relationships with China Summer Climate Anomaly

The relationships between different types of El Nino events and East Asian summer monsoon(EASM) as well as summer precipitation in China are discussed in detail.In the developing years of western and standing-wave/eastern patterns El Nino events,EASM is weaker/stronger than the normal.In the decaying years of western and standing-wave/eastern patterns,EASM is rather stronger/ normal.Moreover,in the developing years of western pattern El Nino events,the summer precipitation is less than the normal in North China,the upper and middle reaches of Yellow River,Dongting Lake and Poyang Lake valleys,and parts of South China,but it is relatively more in the Yangtze-Huaihe River Valley,and it is the reverse in the decaying years.In the developing years of standing-wave pattern,there are less rainfall in the Yangtze River Valley and the northern part of North China,and more one in South China and the middle part of North China.Rainfall in Sichuan basin and South China is less than the normal in the decaying years,meanwhile it is more in the Yangtze River Valley and the middle part of North China.Despite in the developing or decaying years of eastern pattern,the rainfall is less than the normal in most of China except for in Sichuan basin and Huanghe-Huaihe Valley in the developing year,and in parts of South China and North China in the decaying years.
Current Status of National SOFC Projects in Japan

The New Energy and Industrial Technology Development Organization (NEDO) has been conducting technology development and demonstrative research projects on SOFC, as one of the most important and promising technologies for CO2 reduction and realizing dispersed power sources. One of the achievements was the-first-in-the-world commercialization of SOFC-based combined heat and power (CHP) residential system in 2011. Cost reduction and durability improvements of SOFCs, however, still remain critical issues for their further widespread commercialization. In this paper, two NEDO projects relating to SOFCs, "Development of System and Elemental Technologies on SOFC" (FY 2008-2012) and "Technology Development for promoting SOFC commercialization" (FY 2013- 2017) will be introduced.
Vision-Motion Codesign for Low-Level Trajectory Generation in Visual Servoing Systems

The separate design of vision algorithms and motion control algorithms in existing vision servo systems limits their application in high-speed and high-precision industrial scenarios. To address this problem, a vision-motion codesign method is proposed for integrating visual servo systems with motion controllers via real-time Ethernet (RTE) connections. During the engineering design phase of our proposal, we developed a control kernel architecture to clarify the system design logic. Then, we proposed a runtime module for real-time trajectory generation to facilitate the unified deployment of different planning methods in the kernel. On this basis, we implemented a self-adaptive trajectory generation synthesis method capable of dynamically adjusting the motion resources for real-time interpolation. The experimental results demonstrate that in visual servo static tracking experiments with the SCARA robot, our proposed method has a faster response time and smaller impact than other mainstream trajectory generation methods in 1 ms real-time interpolation cycles.
Hierarchical Quadrant Spatial LSM Tree for Indexing Blockchain-Based Geospatial Point Data

Blockchain technology is attracting attention for its high usability in various fields such as IoT and healthcare, and it is being used as an alternative to distributed databases. Despite their high usability, the techniques for efficiently indexing blockchain-based geospatial point data have not been studied much until now. In this paper, we propose a hierarchical quadrant spatial LSM tree(i.e., HQ-sLSM tree) which effectively indexes large amounts of geospatial point data from the blockchain by reflecting its write-intensive feature. The geospatial point data is linearized using Geohash before being inserted into our proposed HQ-sLSM tree. Furthermore, we present the concept of a spatial filter which enables low disk I/O generating algorithms to process range and <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>NN queries over the HQ-sLSM tree. Experiments confirmed that the HQ-sLSM tree performed exceptionally well for the insertion of point data, and the performance of range and <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>NN query processing resulted second to the best after the R-tree.
The effect of six-week plyometric exercises with tabata protocol on some biomotor properties in U-16 male footballers

In modern football, physiological assessments are becoming increasingly important for optimal performance not only in adults but also in youth. The aim of this study was to investigate the effect of six-week plyometric exercises with tabata protocol on some biomotor properties in U-16 male football players. The athletes were randomly divided into 2 groups as experimental (n:12) and control (n:12). The plyometric exercise programme was applied to the experimental group in addition to their own football training 2 days a week for 6 weeks, while the control group only participated in football training. The normality level of the data was determined by Shapiro-Wilk test. Independent Sample T Test for independent groups and Paired Sample T Test for dependent groups were used to analyse the normally distributed data. According to the research findings, a statistically significant difference was found in the pre-test - post-test measurement values of all performance tests of the experimental group and between all performance tests (T-Agility, 20-m sprint, vertical jump, flamingo balance and long jump standing) of the experimental and control groups (p < 0.05). No significant difference was found in the control group (p>0.05). In conclusion, it can be said that six-week plyometric exercises applied with Tabata protocol were effective in the development of some biomotor properties in U-16 male football players. In this context, it can be stated that plyometric exercises added to training plans can be used as an effective method in the development of performance parameters of athletes.
Characterization of Non-Food Foreign Bodies Aspirated by Children: A Systematic Review of the Literature

Background. Foreign Body Aspiration (FBA) represents a leading cause of death among unintentional injuries in children less than one year of age. This study reviewed case reports and case series reporting non-food FBA in children to characterize aspirated foreign bodies, describing the clinical presentations and the outcomes. Methods: A systematic review was conducted according to the PRISMA checklist. Case reports and case series presenting non-food FBA in children (up to 18 years) were eligible to be included. Information regarding study characteristics, child demographics, foreign body characteristics, clinical presentation, and outcome were extracted. Results: The review included 248 articles published between 1965 and 2023, corresponding to 294 cases. The male gender was the most prevalent (194 cases, 66%), and the median age was 3.5 years (Interquartile Range: 1–8 years). Button batteries were the objects most frequently reported (21 cases, 7.1%). Objects were located most often in the bronchus (102 cases, 35%). The most common symptom was cough (181 cases, 62%), followed by respiratory distress (160 cases, 54%) and wheezing/stridor (127 cases, 43%). Conclusions: The present systematic review may have relevant public health implications, since characterizing objects that cause foreign body injuries is essential to reduce the burden of this phenomenon.
Morfometría geométrica de la superficie oclusal de dientes de lirones (Gliridae, Rodentia, Mammalia): Estudio preliminar, problemas y posibles aplicaciones. A preliminar geometric morphometric analysis of the oclusal surface of dormouse teeth (Gliridae, Rodentia, Mammalia): problems and possible app

A preliminary work to test the landmark-based geometric morphometrics methods for the study of dental crown pattern of upper cheek teeth of glirids or dormouse (Gliridae, Rodentia, Mammalia) is presented. As an example, a sample of the fossil especies Armantomys jasperi D AAMS, 1990 M 1 and M 2 has been studied. There are 22 landmarks defined in its oclusal surface. The experimen- tal design that allows the landmarks identification and the comparision of diferents specimens by superimposition methods has been done. A cluster analysis test the capacity of the refered method to distinguish between M1 and M 2 . A discriminant analysis give the per- centage success in prediction in the two upper molars groups. This study allow a satisfactory separation of M1 and M 2 and the identifi- cation of a mistake in one specimen.
Impact of Digital Literacy on Cyberloafing and Compulsive Social Media Use Post-Kahramanmaraş Earthquake

In recent years, mass disasters have begun to occur in the world and the business world has been greatly affected by these disasters. Especially during the COVID-19 pandemic period, many processes have shifted to digitalization and people have increased their technology usage levels. It can be said that a similar situation was experienced in the Kahramanmaraş earthquake. From this point of view, within the scope of the research, the effects of digital literacy on cyberloafing and compulsory social media use were tried to be examined. The research was carried out with 244 participants aged between 18-30 working in any business line, in a quantitative research design. The data were collected using the questionnaire technique. The obtained data were subjected to descriptive statistics, correlation analysis, reliability analysis and simple regression analysis. According to the research findings, the digital literacy scale and its sub-dimensions are in a moderately and highly significant positive relationship with the cyberloafing scale and its sub-dimensions. However, the scale of compulsive social media use has a low level of positive and significant relationship with the scale of digital literacy and cyberloafing. According to the results of the regression analysis, it was determined that digital literacy has a statistically significant and positive effect on cyberloafing. In addition, it has been determined that digital literacy has a statistically significant and positive effect on compulsive social media use.
Using Video-Feedback to Support Learning Outcome and Work-life Relevance

With students having the opportunity of choosing to take part in courses online rather than attend physically, they may lose the personal contact with the lecturers. One way of inducing a personal touch is by providing personalized video-feedback on the students’ assignments to maintain or establish a connection with the students. Video-feedback is tested out in blended learning, and thus far, the results have been positive. The students claim that this is a more personal and direct way of obtaining feedback on their work. The students in this research project are students in the study programme of Knowledge Management at the Business School at the Inland Norway University of Applied Sciences. The courses consist of three full-day seminars per semester, in addition to streaming video of the curriculum. There is also a mandatory assignment that the students need to pass in order to proceed and take their exam. The courses, both in the autumn semester and the spring semester, have been delivered as a hybrid version, meaning that the students have been able to follow the courses, either online or present in a (physical) classroom. The video-feedback on their assignments has been developed from only being feedback on their assignment and issues for improvement, to where in this semester, the focus has been on tying the feedback to the learning objectives of the course. In this paper, the focus has been on the students who have only been able to follow the courses on an online basis. Via in-depth interviews, such as via Zoom with online students, the impact of the video-feedback has been compared for these particular students to the generic students who have also attended in person. Our investigations have revealed that the impact on the online students were positive, as they do find this type of feedback more personal compared to the students who had also been present in the classroom.
Environmental Risk Arising From Well-Construction Failure—Differences Between Barrier and Well Failure, and Estimates of Failure Frequency Across Common Well Types, Locations, and Well Age

Summary Do oil and gas wells leak to the environment? This paper will show the great majority of wells do not pollute. The purpose of this paper is to explain basic concepts of well construction and illustrate differences between single-barrier failure in multiplebarrier well design and outright well-integrity failure that could lead to pollution by use of published investigations and reviews from data sets of more than 600,000 wells worldwide. For US wells, while individual-barrier failures (containment maintained and no pollution indicated) in a specific well group may range from very low to several percent (depending on geographical area, operator, era, well type, and maintenance quality), actual well-integrity failures are very rare. Well-integrity failure occurs when all barriers fail and a leak is possible. True well-integrityfailure rates are two to three orders of magnitude lower than single-barrier-failure rates. When one of these rare total-well-integrity failures occurs, gas is the most common fluid lost. Common final-barrier leak points are failed gaskets or valves at the surface and are easily and quickly repaired. If the failure is in the subsurface, an outward leak is uncommon because of a lower pressure gradient in the well than in outside formations. Subsurface leaks in oil and gas wells are rare, and routinely comprise exterior-formation salt water leaking into the well toward the lower pressure in the well. Failure frequencies are estimated for wells in several specific sets of environmental conditions (i.e., location, geologic strata, produced-fluid composition, and soils). Estimate accuracy depends on a sufficient database of wells with documented failures, divided into (1) barrier failures in a multiple-barrier system that did not create pollution, and (2) well-integrity failures that created a leak path, whether or not pollution was created. Estimated failure-frequency comparisons are valid only for a specific set of wells operating under the same conditions with similar design and construction quality. Well age and construction era are important variables. There is absolutely no universal definition for well-failure frequency.
Surrogate Modeling of the Aeroacoustics of an NM80 Wind Turbine

Wind turbines play a major role in the European Green Deal for clean energy transition. Noise is a critical aspect among open technological issues, as it determines the possibility of onshore installations near inhabited places and the possible detrimental effects on wildlife when offshore. This paper assesses the accuracy of different approaches to predicting the sound pressure level (SPL) of a wind turbine. The 2.75 MW Neg Micon NM80 horizontal axis wind turbine (HWAT) was simulated in OpenFOAM, modeling the turbine with the actuator line method (ALM) implemented in the turbinesFoam library. Two different inflow conditions were considered: a stationary inflow with a typical atmospheric boundary layer profile and a time-dependent inflow derived from a precursor channel with fully turbulent conditions. The surrogate model for noise prediction used for this work is based on the synthetic/surrogate acoustics models (SAMs) of Amiet and Brooks-Pope-Marcolini (BPM). This approach allows for blade motion modeling and the prediction of the SPL of the URANS postprocessing results. The SPL spectrum obtained was then compared to the results from the other aeroacoustic solvers of IEA Task 39 participants, showing the best performance in the fully turbulent case. The results demonstrate that coupling between the ALM and surrogate acoustics provides more accurate results than the blade element momentum (BEM) approach.
Joint Discriminative Analysis With Low-Rank Projection for Finger Vein Feature Extraction

Over the last decades, finger vein biometric recognition has generated increasing attention because of its high security, accuracy, and natural anti-counterfeiting. However, most of the existing finger vein recognition approaches rely on image enhancement or require much prior knowledge, which limits their generalization ability to different databases and different scenarios. Additionally, these methods rarely take into account the interference of noise elements in feature representation, which is detrimental to the final recognition results. To tackle these problems, we propose a novel jointly embedding model, called Joint Discriminative Analysis with Low-Rank Projection (JDA-LRP), to simultaneously extract noise component and salient information from the raw image pixels. Specifically, JDA-LRP decomposes the input image into noise and clean components via low-rank representation and transforms the clean data into a subspace to adaptively learn salient features. To further extract the most representative features, the proposed JDA-LRP enforces the discriminative class-induced constraint of the training samples as well as the sparse constraint of the embedding matrix to aggregate the embedded data of each class in their respective subspace. In this way, the discriminant ability of the jointly embedding model is greatly improved, such that JDA-LRP can be adapted to multiple scenarios. Comprehensive experiments conducted on three commonly used finger vein databases and four palm-based biometric databases illustrate the superiority of our proposed model in recognition accuracy, computational efficiency, and domain adaptation.