Miracle-dz/UniFAR-FTUs huggingface dataset:
Octreotide for acute gastrointestinal bleeding secondary to portal hypertension in pediatric patients: experience of a tertiary center

Octreotide for acute gastrointestinal bleeding secondary to portal hypertension in pediatric patients: experience of a tertiary center Uso de octreotida na hemorragia digestiva alta secundária à hipertensão portal em pacientes pediátricos: experiência de um serviço terciário Uso de octreotide en la hemorragia digestiva alta secundaria a hipertensión portal en pacientes pediátricos: experiencia de un servicio terciario
AN UPDATE SURVEY OF THE PREVALENCE OF CANINE DIROFILARIASIS IN A FOCUS AREA OF THE CITY OF RIO JANEIRO, BRAZIL

:- COSTA, R.C. ; COUTO-LIMA, D. ; SERRÃO, M.L. ; LABARTHE, N. An update survey of the prevalence of Canine Dirofilariasis in a focus area of the city of Rio de Janeiro, Brazil. [Atualização da prevalência da Dirofilariose Dirofilaria immitis is a nematode transmitted by culicids, commonly found all over the world. In the western area of Rio de Janeiro, where in 1990 31% of dogs were parasitized, a survey of the culicid fauna and an update of the prevalence of canine dirofilariasis was carried out in two populations: one of them not assisted and the other one regularly assisted by veterinarians. To evaluate whether the preventive medication recommended by the veterinarian was followed, the number of attended animals was compared with the number of preventive doses sold by the veterinary clinic. Female mosquitoes of the species Aedes scapularis , Culex quinquefasciatus and A. taeniorhynchus , efficient vectors in the region, were captured in low frequencies. The prevalence of canine infection by D. immitis detected by an immunoenzymatic test was 1.96% in the population not assisted by veterinarians with no microfilaremic animal and no positive dog was found among those which were regularly attended. Clinical compliance was of 45.5%, a higher percentage than that found in hyperendemic regions in the United States (41%). A decline in the prevalence of canine heartworm disease in the area under study could be noted and observance of the veterinary prescription for preventive medication seems to have contributed to this effect.
Technology Fragmentation, Platform Investment, and Complementary Innovation

Complementor innovation is an essential form of value co-creation in open platform ecosystems. However, the increasing platform fragmentation, i.e., users in the ecosystem adopting different versions of the platform technologies, has significantly hindered complementor innovation. For instance, Android devices currently in the market run a dozen old and new versions of the Android operating system, which increases the cost of complementor innovation because app developers must exhaustively test on different versions of the operating system when they release new apps or updates. Reducing platform fragmentation is a complex coordination problem involving several parties in the ecosystem, thus it is unclear whether and how a platform’s efforts to fight fragmentation would affect complementor innovation. Focusing on recent efforts by Google to address Android fragmentation, we find that while the platform investment does not immediately reduce Android fragmentation, app developers respond to the platform’s action by significantly increasing their innovation efforts in updating apps shortly after platform investment. We find support of two possible explanations of the positive platform investment effect: anticipated lower cost structure and higher platform value. App developers’ forward-looking behavior is likely due to developers’ anticipation of lowered innovation cost in the future, as the impact of platform investment is greater for developers with more variable cost structure such as a larger and more diverse user base, less development experience and lack of economies of scale (i.e., with a smaller portfolio of apps). The effect is also greater for developers in more competitive markets where gaining user base can be costly due to market competition. Our research highlights the role of platform commitment to improve platform infrastructure in complementor innovation and provides implications for platform investment and intervention.
A fractal quad-band antenna loaded with L-shaped slot and metamaterial for wireless applications

A novel concept of using fractal antenna with metamaterial and slot to achieve multiband operation is investigated. The antenna consists of an L-shaped slot, Sierpinski triangle (used as fractal) as the radiating part and metamaterial circular split ring resonator (SRR) as the ground plane. The introduction of metamaterial in the ground plane makes the antenna operate at 3.3 GHz (middle WiMAX). The etching of Sierpinski triangle and L-shaped slot in the radiating monopole perturbs the surface current distribution; thereby increasing the total current path length which tends the antenna to further operate at 5.5 (upper WiMAX), 7.3 (satellite TV) and 9.9 GHz (X-band), respectively. The extraction of medium parameter of a circular SRR through waveguide medium is discussed in detail. The antenna has a compact dimension of 0. 33λ0 × 0. 27λ0 × 0. 01λ0 = 30 mm × 24.8 mm × 1.6 mm, at a lower frequency of 3.3 GHz. Under simulation, antenna operates at 3.3, 5.5, 7.3 and 9.9 GHz with S11 < −10 dB bandwidth of about 5.9% (3.24–3.44 GHz), 5.6% (5.31–5.62 GHz), 7.3% (6.99–7.52 GHz) and 3.02% (9.78–10.08 GHz), respectively. In measurement, antenna exhibit resonances at 3.1, 5.52, 7.31, 9.72 GHz with S11 < −10 dB bandwidth of about 3.5% (3.04–3.15 GHz), 5.01% (5.44–5.72 GHz), 13.2% (6.76–7.72 GHz) and 5.77% (9.42–9.98 GHz), respectively. Good impedance matching and stable radiation characteristics are observed across the operational bandwidth of the proposed configuration.
A systematic literature review on information systems for disaster management and proposals for its future research agenda

Emergency management information systems (EMIS) are fundamental for responding to disasters effectively since they provide and process emergency-related information. A literature stream has emerged that corresponds with the increased relevance of the wide array of different information systems that have been used in response to disasters. In addition, the discussion around systems used primarily within responder organizations broadened to systems such as social media that are open to the general public. However, a systematic review of the EMIS literature stream is still missing. This literature review presents a timeline of EMIS research from 1990 up to 2021. It shows the types of information system scholars focused on, and what disaster response functions they supported. It furthermore identifies challenges in EMIS research and proposes future research directions.
The Impact of Socioeconomic Factors on Consumer Buying Behavior: A Case of Mobile Phone Market of Pakistan

: Over the last few decades, the socio-economic factors of Pakistani consumers in the telecommunications sector have changed. Due to this conflict, the behavior of mobile service users who specify a particular service is impulsive and constantly changing. The main idea of this study was to investigate the impact of socio-economic status (age, gender, income, education) on consumer buying behavior in Pakistan's telecommunications sector. In addition, this paper also looks at whether a sales intent survey links a customer's buying intent to mobile service exchange behavior. The sample of this study consists of 380 mobile service consumers using services from the Pakistan Telecommunication Authority (PTA) companies operating in the southern cities of Punjab, Multan, Khanewal, Vehari and Lodhran. This is a qualitative survey and we used the survey method to collect data. In this study, SMART-PLS-3 was used to analyze the data. The results show that only two socio-economic factors (gender and education) have a significant positive impact on mobile phone customers' buying intentions. However, the other two socio-economic factors (age and income) were not significant factors influencing mobile subscribers' buying intentions. In addition, customers' buying intentions have been found to have a significant positive impact on consumers' buying behavior. The study also found that motivations to buy mobile services significantly ease consumers' buying intentions and behaviors. It is also appropriate to conduct similar comparative studies in other cities. that many factors, such as gender and education, are significantly associated with the intent of a customer's buying behavior. The effect of age on the share of purchasing power has a lot to do with the intent to use it overall. The theory of social exchange is directly supported by the behavioral intent to use mobile technology through a variety of things. This study found no effect of income from technology preparation, or optimistic relationships with purchase intentions for mobile technology. Service buying motives are associated with the buying intent. Tutoring and status are essential for consumers to influence their purchases. the role of friends around you is related to the acceptance of technology and the purchase of new elements of technology. This study found that educational background is one of the key elements of cognitive development that is not directly influenced by purchasing power-related skills. This study is based on the theory of social exchange and cross-cutting foundations, as well as many factors that can trigger the intent of mobile purchases. Purchasing behavior can depend on the purchasing power of the customer. The data is based on the cross section and can result in a different environment compared to the other dimensions of the cross section it may be extended to longitudinal study for better insights.
Systems Genetic Identification of Mitochondrion-Associated Alzheimer’s Disease Genes and Implications for Disease Risk Prediction

Cumulative evidence has revealed the association between mitochondrial dysfunction and Alzheimer’s disease (AD). Because the number of mitochondrial genes is very limited, the mitochondrial pathogenesis of AD must involve certain nuclear genes. In this study, we employed systems genetic methods to identify mitochondrion-associated nuclear genes that may participate in the pathogenesis of AD. First, we performed a mitochondrial genome-wide association study (MiWAS, n = 809) to identify mitochondrial single-nucleotide polymorphisms (MT-SNPs) associated with AD. Then, epistasis analysis was performed to examine interacting SNPs between the mitochondrial and nuclear genomes. Weighted co-expression network analysis (WGCNA) was applied to transcriptomic data from the same sample (n = 743) to identify AD-related gene modules, which were further enriched by mitochondrion-associated genes. Using hub genes derived from these modules, random forest models were constructed to predict AD risk in four independent datasets (n = 743, n = 542, n = 161, and n = 540). In total, 9 potentially significant MT-SNPs and 14,340 nominally significant MT-nuclear interactive SNPs were identified for AD, which were validated by functional analysis. A total of 6 mitochondrion-related modules involved in AD pathogenesis were found by WGCNA, from which 91 hub genes were screened and used to build AD risk prediction models. For the four independent datasets, these models perform better than those derived from AD genes identified by genome-wide association studies (GWASs) or differential expression analysis (DeLong’s test, p < 0.05). Overall, through systems genetics analyses, mitochondrion-associated SNPs/genes with potential roles in AD pathogenesis were identified and preliminarily validated, illustrating the power of mitochondrial genetics in AD pathogenesis elucidation and risk prediction.
VISION - Vienna Survey in Orion II. Infrared extinction in Orion A (cid:63)

We have investigated the shape of the extinction curve in the infrared up to ∼ 25 µ m for the Orion A star-forming complex. The basis of this work is near-infrared data acquired with the Visual and Infrared Survey Telescope for Astronomy, in combination with Pan-STARRS and mid-infrared Spitzer photometry. We obtain colour excess ratios for eight passbands by ﬁtting a series of colour-colour diagrams. The ﬁts are performed using Markov chain Monte Carlo methods, together with a linear model under a Bayesian formalism. The resulting colour excess ratios are directly interpreted as a measure of the extinction law. We show that the Orion A molecular cloud is characterized by ﬂat mid-infrared extinction, similar to many other recently studied sightlines. Moreover, we ﬁnd statistically signiﬁcant evidence that the extinction law from ∼ 1 µ m to at least ∼ 6 µ m varies across the cloud. In particular, we ﬁnd a gradient along galactic longitude, where regions near the Orion Nebula Cluster show a different extinction law compared to L1641 and L1647, the low-mass star-forming sites in the cloud complex. These variations are of the order of only 3% and are most likely caused by the inﬂuence of the massive stars on their surrounding medium. While the observed general trends in our measurements are in agreement with model predictions, both well-established and new dust grain models are not able to fully reproduce our infrared extinction curve. We also present a new extinction map featuring a resolution of 1 (cid:48) and revisit the correlation between extinction and dust optical depth. This analysis shows that cloud substructure, which is not sampled by background sources, affects the conversion factor between these two measures. In conclusion, we argue that speciﬁc characteristics of the infrared extinction law are still not well understood, but Orion A can serve as an unbiased template for future studies.
IMPACT OF EXPERIENTIAL MOTIVES, PERCEIVED IMAGE, AND SERVICE QUALITY ON PERCEIVED VALUE AND BEHAVIORAL INTENTIONS IN AN OUTLET SETTING

The study explores the relationships between constructs of outlet visitation: experiential motives, perceived image, service quality, perceived value, and behavioral intentions. The finding showed experiential motives, perceived image, and service quality to impact behavioral intentions significantly via the mediator of perceived value. However, visitors’ experiential motives may directly affect behavioral intentions more than its indirect effect via service quality. Socio-demographics differences were also explored though one-way ANOVA, which paved the way for recommendations. the findings imply that white collar and governmental workers may have more resources (time or financial) for leisure activities (such as outlet visitation) than people of other occupations.
A Case Study of Enterprise-wide Digital Innovation: Involving Non-IT Employees

Today’s incumbent organisations are under pressure to proactively leverage their resources for digital innovation. Enterprise-wide initiatives hold potential in this regard by enabling employees across departments to contribute their knowledge, skills, and creativity towards digital innovation. However, IT units often struggle to transfer the ideas of non-IT employees into marketable digital solutions. Our understanding of how organisations coordinate and integrate employees’ contributions to digital innovation is limited, yet critical to their survival and growth. Taking a resource-based approach, we identify three complementary competences –orchestration, self-orchestration, and choreography– that support enterprise-wide digital innovation. Specifically, we report how these competences helped an incumbent organisation initiate digital innovation with its non-IT employees while making efficient use of its IT resources. Our study further shows that building these competences requires the strategic use of digital artefacts and their multiple roles in the innovation process.
Serum TNF-α and sarcopenia in liver cirrhosis Prevalence trends of NAFLD among young Korean men Surgery vs. RFA in single small HCC Galectin-3 and

ALT, alanine aminotransferase; AST, aspartate aminotransferase; CLD, chronic liver disease; CT, computed tomography; ELISA, enzyme-linked immunosorbent assay; H&E, hematoxylin and eosin; HCC, hepatocellular carcinoma; HE, hepatic encephalopathy; IBS, irritable bowel syndrome; IHC, immunohistochemistry; IL, interleukin; L3SMI, L3 skeletal muscle index; LC, liver cirrhosis; LPS, lipopolysaccharide; LS, liver stiffness; MELD, model for end-stage liver disease; RT-PCR, real-time quantitative polymerase chain reaction; TAA, thioacetamide; TNF- α , tumor necrosis factor- α ; ZO, zona occludens , which play roles in the development of sarcopenia in elderly individuals, 3 are increased. 18 However, their roles in LC-related sarcopenia remain unclear. In the present study, we investigated the association between inflammatory cytokines and sarcopenia using a thioacetamide (TAA)-induced rat model of LC and data from patients with chronic liver disease (CLD). We also examined the effect of rifaxi-Background/Aims: Sarcopenia is an independent prognostic factor of liver cirrhosis (LC). However, the association between LC-related systemic inflammation and sarcopenia is unclear. might be effective in reducing serum TNF-α levels and improving sarcopenia in LC, but these results need to be validated in future studies. (Clin Mol Hepatol 2022;28:219-231) LC causes systemic inflammation, but its association with sarcopenia is still unclear. In the present study, we found that serum TNF-α was increased in LC rats, and significantly correlated with the degree of sarcopenia, and validated this association between serum TNF-α and sarcopenia in patients’ cohort. Furthermore, rifaximin was effective in the decrease of the systemic inflammation, which resulted in the improvement of sarcopenia. Impor-tantly, these findings suggest that the mechanism of rifaximin in restoring sarcopenia is not restricted to the ammonia lowering, but also it improves sarcopenia by decreasing systemic inflammation in LC.
Bio-inspired voice recognition for speaker identification

Speaker identification (SID) aims to identify the underlying speaker(s) given a speech utterance. In a speaker identification system, the first component is the front-end or feature extractor. Feature extraction transforms the raw speech signal into a compact but effective representation that is more stable and discriminative than the original signal. Since the front-end is the first component in the chain, the quality of the later components is strongly determined by its quality. Existing approaches have used several feature extraction methods that have been adopted directly from the speech recognition task. However, the nature of these two tasks is contradictory given that speaker variability is one of the major error sources in speech recognition whereas in speaker recognition, it is the information that we wish to extract. In this thesis, the possible benefits of adapting a biologically-inspired model of human auditory processing as part of the front-end of a SID system are examined. This auditory model named Auditory Image Model (AIM) generates the stabilized auditory image (SAI). Features are extracted by the SAI through breaking it into boxes of different scales. Vector quantization (VQ) is used to create the speaker database with the speakers’ reference templates that will be used for pattern matching with the features of the target speakers that need to be identified. Also, these features are compared to the Mel-frequency cepstral coefficients (MFCCs), which is the most evident example of a feature set that is extensively used in speaker recognition but originally developed for speech recognition purposes. Additionally, another important parameter in SID systems is the dimensionality of the features. This study addresses this issue by specifying the most speaker-specific features and trying to further improve the system configuration for obtaining a representation of the auditory features with lower dimensionality. Furthermore, after evaluating the system performance in quiet conditions, another primary topic of speaker recognition is investigated. SID systems can perform well under matched training and test conditions but their performance degrades significantly because of the mismatch caused by background noise in real-world environments. Achieving robustness to SID systems becomes an important research problem. In the second experimental part of this thesis, the developed version of the system is assessed for speaker data sets of different size. Clean speech is used for the training phase while speech in the presence of babble noise is used for speaker testing. The results suggest that the extracted auditory feature vectors lead to much better performance, i.e. higher SID accuracy, compared to the MFCC-based recognition system especially for low SNRs. Lastly, the system performance is inspected with regard to parameters related to the training and test speech data such as the duration of the spoken material. From these experiments, the system is found to produce satisfying identification scores for relatively short training and test speech segments.
SMM-Conv: Scalar Matrix Multiplication with Zero Packing for Accelerated Convolution

We present a novel approach for accelerating convolutions during inference for CPU-based architectures. The most common method of computation involves packing the image into the columns of a matrix (im2col) and performing general matrix multiplication (GEMM) with a matrix of weights. This results in two main drawbacks: (a) im2col requires a large memory buffer and can experience inefficient memory access, and (b) while GEMM is highly optimized for scientific matrices multiplications, it is not well suited for convolutions. We propose an approach that takes advantage of scalar-matrix multiplication and reduces memory overhead. Our experiments with commonly used network architectures demonstrate a significant speedup compared to existing indirect methods.
On Voting

Suppose that we have c candidates, e electors, s seats, v votes. There are at least three different kinds of voting to consider: Simple, Combinational, and Cumulative. I. Simple voting. By simple voting I mean any case in which an elector has only one vote. Denote the candidates by A, B, C, D.
Finger-vein Image Dual Contrast Enhancement and Edge Detection

Summary In this paper, we propose a novel scheme to get a pattern of Finger Veins from the original image. The central point of this paper is how to extract Finger-vein ridges from the background surface. For this purpose, we implement dual contrast limited adaptive histogram equalization (DCLAHE) method, which is used for enhancing the grayscale color intensity values. After improving the image contrast, we apply an Otsu thresholding algorithm in canny edge detection to obtain optimal edges for a Finger-vein. Investigational end results show a precise binary representation of the vein pattern.
Listen to Your Heart: Feature Extraction and Classiﬁcation Methods for Heart Sounds

—Heart irregularities are commonly detected using a stethoscope by a physician. Currently, there are digital stetho-scopes and mobile devices that anyone can use to record their heart sounds, however, without medical knowledge, it will be dif-ﬁcult for them to know if there are any irregularities. This paper presents a process for classifying those audio heart recordings to ﬁve most commonly occurring classes: artifact, extra heart sound, extrasystole, murmur and normal heartbeat. The paper also compares the precision and F-scores of six machine learning models, which include Naive Bayes, Support Vector Machines and Decision Trees. Using the process outlined in this paper, the results are a signiﬁcant improvement to the state of the art for all classes except for extrasystole and normal heartbeats. The paper also outlines practicality and next steps to improve audio heart