Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengaruh Electronic Word of Mouth Terhadap Keputusan Pembelian Menggunakan Zomato di Café Koi The, Mall Kelapa Gading Jakarta Utara

The development of internet resulted high growth of applications in Indonesia, which then used by business owners in marketing. Restaurant directory applications is gaining popularity for the ease of obtaining information, but information can also obtain using social media, which begun to use as marketing platform, but social media tends to bias in reviews. This study aims to examine whether there is influence between Electronic Word of Mouth on Zomato on purchasing decisions. Electronic word of mouth is information from the results of the assessment of various aspects of product by consumers, can be called online reviews. Purchasing decisions are when consumers faced with two or more possiblities that have been reached by consumers after various considerations. The sample of this study obtained by slovin technique which resulted 100 people, this research is quantitative study, with non-probability technique. The results of this study indicate that electronic word of mouth has effect on purchasing decisions. The conclusion of this study is the dimensions of Electronic Word of Mouth is Intensity, Content, and Valance of Opinion has positive influence on purchasing decisions. Suggestions for further research is add other independent variables, and for the business, this can be used as evaluation because there was influence between e-wom on purchasing decisions.
Understanding of the properties of neural network approaches for transient light curve approximations

Context. Modern-day time-domain photometric surveys collect a lot of observations of various astronomical objects and the coming era of large-scale surveys will provide even more information on their properties. Spectroscopic follow-ups are especially crucial for transients such as supernovae and most of these objects have not been subject to such studies. Aims. Flux time series are actively used as an affordable alternative for photometric classification and characterization, for instance, peak identifications and luminosity decline estimations. However, the collected time series are multidimensional and irregularly sampled, while also containing outliers and without any well-defined systematic uncertainties. This paper presents a search for the best-performing methods to approximate the observed light curves over time and wavelength for the purpose of generating time series with regular time steps in each passband. Methods. We examined several light curve approximation methods based on neural networks such as multilayer perceptrons, Bayesian neural networks, and normalizing flows to approximate observations of a single light curve. Test datasets include simulated PLAsTiCC and real Zwicky Transient Facility Bright Transient Survey light curves of transients. Results. The tests demonstrate that even just a few observations are enough to fit the networks and improve the quality of approximation, compared to state-of-the-art models. The methods described in this work have a low computational complexity and are significantly faster than Gaussian processes. Additionally, we analyzed the performance of the approximation techniques from the perspective of further peak identification and transients classification. The study results have been released in an open and user-friendly Fulu Python library available on GitHub for the scientific community.
Functional MRI brain state occupancy in the presence of cerebral small vessel disease -- pre-registration for a replication analysis of the Hamburg City Health Study

Many thanks for this comment. We agree that it is important to consider not only statistical but also theoretical/practical significance and to discuss what a minimal interesting effect size from that perspective would be. Since the field of dynamic functional connectivity and imaging-derived brain states is relatively young, such a discussion will necessarily remain somewhat speculative. (2020 Cornblath, Communications Biology) reported differences in fractional occupancy of DMNrelated states between 6 and 7 percentage points between different task demands (rest vs n-back) in healthy subjects. This would constitute an upper bound for a minimal effect size of interest, but along the continuum of ischemic white matter disease severity, even smaller effects would be of importance. Given the high prevalence of cerebral small vessel disease and its known association with cognitive impairment, we argue that variations in state occupancy equaling half of the rest/nback difference would be of interest,a nd include the following explanation in the revised manuscript:
Optimal fuzzy adaptive control for uncertain flexible joint manipulator based on
 D
 ‐operation

A fuzzy approach to the optimal control design for a kind of uncertain flexible joint manipulator is proposed. The system contains mismatched uncertainty which is described by fuzzy set theory and is assumed to be bounded. By implanting a fictitious control and transforming the system with new state variables, an adaptive robust controller is designed to guarantee the uniform boundedness and uniform ultimate boundedness of the transformed system. The proposed control is only based on the existence of the uncertainty bound and is not if-then heuristic rules-based. Furthermore, the performance of the original system is also proven theoretically. By applying D -operation, the optimal design problem associated with the control can then be solved by minimising a constrained performance index. The performance index, which is based on the fuzzy information, includes average fuzzy system performance and control effort. The resulting control design is systematic and is able to assure the deterministic performance as well as the fuzzy performance. An illustrative example is given to demonstrate the authors' conclusions.
or “Doctors”? Physicians’ Presentation of Self in YouTube and Facebook Videos

Despite growing interest in doctors’ use of social media, little is known about how medical professionals want to appear before online audiences. This multi-method qualitative study fills this gap by analyzing the self-presentation of 12 Egyptian medical doctors who create health-related video blogs (vlogs) on YouTube and Facebook. We pair in-depth interviews and focus group data with a critical discourse analysis of 48 vlogs to investigate how these physicians construct their images as both health professionals (doctors) and content makers (influencers). In doing so, we rely on Goffman’s dramaturgical approach to examine the “faces” they wear in their vlogs and the strategies they use to manage when and how each face is perceived. We find that participants present themselves through four faces: approachable, knowledgeable, pedagogical, and popular. Their self-presentation appears to be a negotiation between two roles: part influencer, or social media content creator, and part doctor, or health service provider.
Commentary

Background and Objectives: It has been said that amino acid transporters play an important role in supplying nutrition to cells and for cell proliferation. In this study, we examined whether LAT1 and 4F2hc are closely related to tumor growth. Methods: Rat colon cancer cells (RCN-9) were injected into the spleen of 12 male rats (inbred F344/DuCrj). In each rat, liver samples including tumor lesions were immunostained with anti-LAT1 and anti-4F2hc antibodies. The staining area of LAT1 and 4F2hc tumor lesions was calculated by computer analysis. Results: Sixty-eight tumor nodules were observed in 12 livers. Out of the 68 tumor nodules, 36 nodules (52.9%) indicated a positive staining of LAT1 and 32 (47.1%) had a negative staining of LAT1. However, the LAT1 expression was scarcely detected in non-tumor areas. In terms of the 4F2hc expression, there were 56 nodules (82.4%) with 4F2hc positive and 12 (17.6) with 4F2hc negative. In addition, the expression of 4F2hc in non-tumor areas was almost the same as the expression of 4F2hc in tumor lesions. The average tumor size of the group with LAT1 positive and 4F2hc positive (n (cid:136) 31) was 0.845 (cid:6) 0.232 mm 2 , which was signiﬁcantly larger than that of the group with LAT1 negative and 4F2hc negative group (n (cid:136) 7) (0.090 (cid:6) 0.028 mm 2 ) or the group with LAT1 positive and 4F2hc negative (n (cid:136) 5) (0.097 (cid:6) 0.025 mm 2 ), respectively ( P (cid:136) 0.0017, P (cid:136) 0.007). Conclusion: LAT1 was related to tumor growth. We think that LAT1 can possibly enhance its ability to promote tumor growth in cooperation with 4F2hc.
High-speed Implementation of AIM symmetric primitives within AIMer digital signature

Recently, as quantum computing technology develops, the importance of quantum resistant cryptography technology is increasing. AIMer is a quantum-resistant cryptographic algorithm that was selected as the first candidate in the electronic signature section of the KpqC Contest, and uses symmetric primitive AIM. In this paper, we propose a high-speed implementation technique of symmetric primitive AIM and evaluate the performance of the implementation. The proposed techniques are two methods, a Mer operation optimization technique and a linear layer operation simplification technique, and as a result of performance measurement, it achieved a performance improvement of up to 97.9% compared to the existing reference code. This paper is the first study to optimize the implementation of AIM.
Can personalised hygienic masks be used to attack face recognition systems?

The proliferation of automated face recognition (FR) necessitates increasingly accurate person identification. The COVID-19 pandemic has exposed the limitations of FR systems when presented with faces occluded by hygienic masks. However, the security risks of personalised hygienic mask attacks, whereby an attacker wears the mask on which the bottom part of an enrolled user’s face is printed, have not yet been studied. To address this research gap, we introduce a novel face dataset consisting of smartphone-recorded videos of real (bona-fide) faces and personalised hygienic mask attacks. We also analyse the vulnerability of two state-of-the-art FR systems to this type of attack, using our dataset. Our results indicate that personalised hygienic mask attacks have the potential to compromise system security, particularly for FR systems that are tuned towards optimising user convenience. These findings underscore the importance of developing suitable Presentation Attack Detection (PAD) algorithms. Our dataset will help researchers and practitioners work towards this goal, thereby enhancing the security and reliability of FR systems.
Separate and Combined Eﬀects of Resistance Training and Cucumber ( Cucumis sativus ) Juice Consumption on the Diabetic Indicators and Lipid Proﬁle in Women with Type 2 Diabetes

Background: Type 2 diabetes is a metabolic disease with many consequences. Objectives: This study aimed to evaluate the separate and combined eﬀects of resistance training and cucumber ( Cucumis sativus ) juice consumption on diabetic indicators and lipid proﬁles in women with type 2 diabetes. Methods: Womenwithtype2diabetes(n=40)wereassessedinarandomized,double-blindstudyandcategorizedintofourgroups: (training + placebo), (training + supplement), supplement, and control. Blood sampling was performed 48 hours before and after the protocol, and blood indicators were evaluated to compare their changes among groups. One-way ANOVA statistical tests and Tukey’s post hoc test were used to compare groups. Results: The results indicated that separate resistance training signiﬁcantly decreased fasting blood sugar (FBS), glycated hemoglobin (HbA1c), triglyceride (TG), total cholesterol (TC), and low-density lipoprotein (LDL), while high-density lipoprotein (HDL) signiﬁcantly increased. Cucumber juice consumption signiﬁcantly reduced FBS, HbA1c, TG, TC, and LDL, while HDL signiﬁcantlyincreased(P< 0.05). Combinedresistancetrainingandconsumingcucumberjuicecausedamoresigniﬁcantdecrease in (FBS, HbA1c, TG, TC, and LDL), and HDL increased signiﬁcantly (P < 0.05). Intergroup changes in (FBS, TG, TC, LDL) was signiﬁcant (P < 0.05). Intergroup changes in (HbA1c and HDL) were signiﬁcant (P < 0.05). However, diﬀerences in (HbA1c and HDL) between training and supplement groups were not signiﬁcant (P ≥ 0.05). Conclusions: Separateandcombinedeﬀectsof resistancetrainingandcucumberjuiceconsumptionimproveddiabeticindicators and lipid proﬁle in women with type 2 diabetes.
Sparse Symmetrizers of Diagonalizable Real-λ Matrices

Every diagonalizable m × m matrix A with real eigenvalues can be symmetrized by some change of basis S ; that is, there exists an invertible S such that H = SAS − 1 is symmetric. In fact, there are inﬁnitely many such S , but we want to speciﬁcally ﬁnd sparse S , such as a diagonal or tridiagonal matrix. To this end, we formulate and code a convex optimization problem that enforces matrix sparsity by minimizing the L 1 norm. We successfully recover sparse outputs for diagonal and diagonally dominant matrices A , but fail to ﬁnd sparse S for tridiagonal and sparse random matrices.
MEANDERING AND STRAIGHT CHANNELS IN THE OKAVANGO DELTA, BOTSWANA

Previous studies of alluvial rivers have shown that channel patterns form a continuum controlled by interactions among factors such as gradient, discharge, sediment size, and bank strength. Data from channels in the permanent wetlands of the Okavango Delta add to these findings by focusing on pattern transitions in channels with banks formed by sedges and grasses that are rooted in peat and underlain by unconsolidated sediment. Channels are well defined, and transport fine–medium sand as bedload between the vertical, vegetation-lined banks. Water depths, velocities, grain sizes, and bankline vegetation do not vary significantly or systematically downstream, but the permeable banks allow water to leak from the channels, contributing to an overall downstream decrease in discharge and width. In addition, as the Okavango River flows from the <12 km wide ‘Panhandle’ and splits into distributaries in the broader ‘Fan’, valley gradient steepens by c. 60 per cent. These downstream changes result in channel pattern adjustments. In the Panhandle, the Okavango River is a relatively wide (c. 30–100 m), actively meandering, sinuous channel (P > 2·0), but further downstream in the Fan, the narrower (<40 m) distributaries follow laterally stable, less sinuous (‘straight’) courses (P < 1·75). Some channel pattern discrimination diagrams based on simple indices of gradient, discharge, sediment size or stream power are inadequate for analysing the meandering–straight transition in the Okavango but Parker’s (1976) approach, based on ratios of depth–width and slope– Froude number, accurately characterizes the transition. Our field observations, combined with the results from previous experimental studies, suggest that in relatively wide channels (w/d > 10), thalweg meandering results in scour of the unconsolidated sediment at the bank base, leading to undermining and collapse of the vegetation, and to slow meander migration. However, as channels narrow downstream (w/d < 10) with discharge losses, proportionally increasing sidewall drag exerted by bankline vegetation suppresses thalweg meandering and bank scour, and channels follow stable, less sinuous courses. Copyright © 2004 John Wiley & Sons, Ltd.
Malabsorption of Oral Antibiotics in Pregnancy after Gastric Bypass Surgery

Gastric bypass surgery, by definition, changes the absorption capabilities of the stomach and small intestine. The use of oral medications in patients post gastric bypass may need to be adjusted by medical providers to account for this absorption change. The following case exemplifies this dilemma in a pregnant patient status post gastric bypass surgery with a complicated urinary tract infection. (J Am Board Fam Med 2007;20:310–313.)
Performance Of Ggbfs As Replacement On Workability, Setting Time And Compressive Strength Properties Of Fly Ash Geopolymer Concrete Precast Elements Cured In Ambient Temperature

: This paper illustrates the posterior results of the experiments that are done to testify the functionality of Ground Granulated Blast-furnace Slag (GGBS) as a replacement of workability, time set, and compressive force features of geopolymer concrete fly ash precast elements treated by ambient temperature.The rapid setting is a common disorder characterized by difficulty of the casting of the geopolymer concrete fly ash which needs materials to be added to limit the rapid setting and enhance the properties. Therefore, the curing process of the geopolymer concrete fly ash must be determined to decrease the growth of cracking resulting from the hydration of the mix.Three mixes were examined with various ratios of GGBS (10%, 30%, 50%) and the one mix without any replacement is contained 100% fly ash as a control mix.Throughout a rational mix,the design was occupied to get an optimum the optimum mix proportions, the alkaline Alkali, which is a solution that is utilized for the sake of this study, and it consists of sodium hydroxide sodium and silica fume solution were added to the binder at a concentration of 25%. Tests were executed on the following three dimensions: 100x, 100x , and 100mm cube Geopolymer mortar samples.Two fly ash types are used in this study, and they are class C and class F, and they were examined via Energy Dispersive X-ray (EDX) and scanning electron microscope (SEM) in order to preserve their phases. The incorporation of GGBS with Class F fly ash helped in reaching achievable time setting and compressive strength for precast elements in comparison to those of class C Fly ash geopolymer concrete. Another substantial finding was achievingground highly amount of GGBS on fly ash geopolymers, and it is appropriate for restoration without the presence of high heat
Probing the solar transition region: current status and future perspectives

The solar transition region (TR) is the temperature regime from roughly 0.02 MK to 0.8 MK in the solar atmosphere. It is the transition layer from the collisional and partially ionized chromosphere to the collisionless and fully ionized corona. The TR plays an important role in the mass and energy transport in both the quiet solar atmosphere and solar eruptions. Most of the TR emission lines fall into the spectral range of far ultraviolet and extreme ultraviolet ( ∼ 400 Å–1600 Å). Imaging and spectroscopic observations in this spectral range are the most important ways to obtain information about the physics of the TR. Static solar atmosphere models predict a very thin TR. However, recent high-resolution observations indicate that the TR is highly dynamic and inhomogeneous. I will summarize some major findings about the TR made through imaging and spectroscopic observations in the past 20 years. These existing observations have demonstrated that the TR may be the key to understanding coronal heating and origin of the solar wind. Future exploration of the solar TR may need to focus on the upper TR, since the plasma in this temperature regime (0.1 MK–0.8 MK) has not been routinely imaged before. High-resolution imaging and spectroscopic observations of the upper TR will not only allow us to track the mass and energy from the lower atmosphere to the corona, but also help us to understand the initiation and heating mechanisms of coronal mass ejections and solar flares.
FREE FATTY ACID LEVELS IN SOME SURFACE WATERS AND MUNICIPAL WATER SUPPLY OF SOUTH-WESTERN NIGERIA.

* Akinnifesi T. A. 1 , Asubiojo F.O. 2 , Ogunfowokan A.O. 2 , Okonkwo O. J. 3 , Ololade I. A 1 and Oladoja N. A 1 . 1. Lecturer, Department of Chemical Sciences, Adekunle Ajasin University. AkungbaAkoko, Nigeria. 2. Professor, Department of Chemistry, Obafemi Awolowo University. Ile-Ife, Nigeria. 3. Professor, Department of Environmental Science, Tshwane University of Technology, Pretoria, South Africa. Manuscript Info Abstract . Manuscript History
International Journal of Public Health Science (IJPHS)

Received Sep 22, 2022 Revised May 19, 2023 Accepted Jun 12, 2023 The current study was designed to screen and observe dysgraphia in primary schools in Wassit governorate in Iraq. In addition, to identify the presence of any family environment characteristics associated with dysgraphia, a cross-sectional study has been applied during the period from 1st November 2018 to the end of March 2019, which was conducted on 421 students from public and private primary schools which were randomly selected. The lifetime prevalence of students with dysgraphia was 27% in the present study. Most students (53.2%) were equal to or less than 10 years old. In the population sample, dysgraphia prevailed more in boys than girls. Illiteracy was higher for the students who have fathers with dysgraphia (39.3%) as compared to the students who have nondysgraphia fathers (29.4%). The difference was more significant for the age, gender, and level of education of parents (p<0.05). It was concluded that dysgraphia among primary school students aged 7-12 years occurs at a lifetime prevalence of nearly one-third of them. In our study, it was affirmed that dysgraphia is a problem that most commonly affects males more than females. It is important to note that the difference between the two groups was statistically significant in regard to age, gender, and level of education of parents.
Comparison of Mobile Scanning Tool and Cancer Early Diagnosis, Screening and Training Centers

Objectives: Cancer Early Diagnosis, Screening and Training Centers (CEDSTCs) have been established to make cancer screenings easier and more common. In this study, it was aimed to compare the cancer screening data made in CEDSTC and the mobile screening tool in Kayseri. Methods: This retrospective study was performed in CEDSTCs and on a mobile screening tool in Kayseri. The mobile screening tool served in the central, rural, and semi-rural areas of Kayseri within the mentioned period of time. Mammography examinations and cervical cancer screenings performed in that period were compared with the screenings performed in seven CEDSTCs in the central districts. Results: A total of 3080 individuals were included in the study. The mean age of the participants applying to the mobile screening tool was 52.2±6.8 years, and the mean age of those applying to CEDSTCs was 54.1±6.3 years (p<0.001). While human papillomavirus-deoxyribonucleic acid (HPV-DNA) analysis was performed on 417 (27.3%) people in the mobile scanning tool, CEDSTCs were performed on 1415 (90.8%) people (p=0.005). While the number of those who were positive for HPV-DNA in the mobile screening tool was 72 (4.7%), the number of those who were positive in the CEDSTCs was 172 (11.0%). Conclusion: The use of methods such as mobile scanning devices enables people living in rural areas to have easy access to mammography devices. This method may increase the number of people being screened for at least breast cancer. Cervical cancer screening in mobile services needs to be increased.
TRAFFIC SIGN ANALYSIS USING CNN AND KERAS

: Traffic signs can be seen everywhere in daily life. Traffic signs are symmetrical, and traffic sign detection is easily affected by distortion, distance, light intensity and other factors, which also increases the potential safety hazards of assisted driving in practical application. In order to solve this problem, a symmetrical traffic sign detection algorithm CNN for complex scenes is proposed. The algorithm optimizes the delay problem by reducing the computational overhead of the network, and speeds up the speed of feature extraction. While improving the detection efficiency, it ensures a certain degree of generalization and robustness, and enhances the detection performance of traffic signs in complex environments, such as scale and illumination changes. In this Deep Learning project, we will build a model for the classification of traffic signs available in the image into many categories using a convolutional neural network (CNN) and Keras library.