Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing Car Showroom Profitability through K-Means Clustering for Customer Segmentation

Indonesia is known to be one of Southeast Asia’s largest markets for used cars. Used car showrooms in Indonesia are numerous and varied, some focus on one car brand, some focus on the lower middle class, some focus on the upper middle class, and some provide all types of cars. One of them is PQR Showroom, Even though PQR Showroom was able to generate such a great amount of sales, the profits generated by the PQR showroom are not proportional to the amount of capital invested. To increase the profit, we proposed the solution using descriptive analytics and prescriptive analytics using K-Means. We also carry out simulations by comparing sales in existing years with the results of the descriptive and prescriptive analytics that have been made for the expected profit. The results show that the simulation comparison with the data we have obtained from descriptive and prescriptive analysis gives the best-expected profit compared to the initial sales results at the PQR Showroom. It shows that the data using descriptive and K-Means is great than before. The fastest cars that have been sold is LCGC and the most wanted car is MPY Toyota Avanza and the best profit that can generate is SUV Toyota Fortuner.
Computational modeling of creep in complex plane for reinforced materials

Manuscript submitted 2016-09-20, revised 2017-03-10, initially accepted for publication 2017-05-28, published in December 2017. Abstract. Computational modeling for predicting the steady state creep behavior is presented in complex plane for reinforced materials by complex variable method. Both the fiber and matrix simultaneously creep at elevated temperatures and loading. We suppose that one dimension of the short fiber is small enough in comparison with the other two (see Fig. 1). In this formulation, plane stress state is used. Finally, displacement rate behaviors are predicted using compatibility, equilibrium, constitutive, and governing equations by complex variable method. One of the considerable applications of the method is in nano-composites analysis in elasticity or plasticity research.
The Drape: a new way to characterize ecosystem states, dynamics, and tipping points from process-based models

There are many ways to study ecosystem dynamics, all having several issues. Main limitations of differential equation systems are the necessarily small number of interactions between few variables used, and parameter values to be set before the system dynamics can be studied. Main drawbacks of large-scale snapshot observation datasets to build a stability landscape are assuming that the most represented conditions are the most stable states, and using the computed landscape to directly study the system’s dynamics. To remedy these aforementioned shortcomings and study complex systems based on the processes that characterize them without having to limit the number of variables, neither set parameter values, nor to use observations serving both model buildup and system’s dynamics analysis, we propose a geometric model as an additional and novel aid to study ecosystem dynamics. The Drape is a generic multi-dimensional analysis, derived from process-based model datasets that include disturbances. We illustrate the methodology to apply our concept on a continental-scale system and by using a mechanistic vegetation model to obtain values of state variables. The model integrates long-term dynamics in ecosystem components beyond the theoretical stability and potential landscape representations currently published. Our approach also differs from others that use resolution of differential equation systems. We used Africa as example, representing it as a grid of 9395 pixels. We simulated each pixel to build the ecosystem domain and then to transform it into the Drape – the mean response surface. Then, we applied a textural analysis to this surface to discriminate stable states (flat regions) from unstable states (gradient or crest regions), which likely represent tipping points. Projecting observed data onto the Drape surface allows testing ecological hypotheses, such as illustrated here with the savanna-forest alternative stable states, that are still today debated topics, mainly due to methods and data used. The Drape provides new insights on all ecosystem types and states, identifying likely tipping points (represented as narrow ridges versus stable states across flat regions), and allowing projection and analysis of multiple ecosystem types whose state variables are based on the same three variables.
Treatment Efficacy of Various Maneuvers for Lateral Canal Benign Paroxysmal Positional Vertigo With Apogeotropic Nystagmus: A Randomized Controlled Trial

Objectives. The aim of this study was to determine the most effective treatment approach by comparing the impacts of various otolith reduction techniques in patients with apogeotropic lateral semicircular canal benign paroxysmal positional vertigo (LC-BPPV). Methods. We performed a multicenter randomized prospective study from January to December 2015, involving 72 consecutive patients with apogeotropic LC-BPPV. The patients were divided into three treatment groups: therapeutic head-shaking (group A), the Gufoni-Appiani maneuver (group B), and the cupulolith repositioning maneuver (CuRM; group C). Each group underwent evaluation and treatment up to the fourth week. Treatment success was defined as the disappearance of positional vertigo and nystagmus. Results. This study included 72 patients (49 male and 23 female), with a mean (±standard deviation) age of 55.4±13.5 years. The mean duration of vertigo experienced prior to treatment was 3.9±4.4 days. The mean latency and duration of nystagmus were 2.7±3.0 seconds and 47.9±15.8 seconds, respectively. The overall treatment frequency was 2.0±0.9. The number of treatments differed significantly among the three groups (P<0.05). After 4 weeks, the success rates for groups A, B, and C were 90.5%, 92.3%, and 100%, respectively. No significant difference was observed in the success rate across treatment methods and periods (P>0.05). However, CuRM was the only method with a 100% treatment success rate. Conclusion. While no clear difference was observed among the three treatments for LC-BPPV, CuRM was found to be superior to the other approaches in the long term.
The Dual Gromov-Hausdor Propinquity

Motivated by the quest for an analogue of the Gromov-Hausdor distance in noncommutative geometry which is well-behaved with respect to C*-algebraic structures, we propose a complete metric on the class of Leibniz quantum compact metric spaces, named the dual Gromov-Hausdor propinquity. This metric resolves several important issues raised by recent research in noncommutative metric geometry: it makes *-isomorphism a necessary condition for distance zero, it is well-adapted to Leibniz seminorms, and — very importantly — is complete, unlike the quantum propinquity which we introduced earlier. Thus our new metric provides a natural tool for noncommutative metric geometry, designed to allow for the generalizations of techniques from metric geometry to C*-algebra theory. R´
Comparison of Aural and Rectal Temperature in Dogs Presenting to an Emergency Room

Purpose To compare rectal and aural temperatures in canines presenting to a small animal emergency room. Patients and Methods We performed a prospective cohort study conducted between June 2022 and October 2022. One hundred and fifty-two dogs were evaluated that were presented to a private practice emergency room. Temperatures were obtained on presentation using both an aural Braun ExacTemp and a rectal Vet-Temp Rapid Digital Thermometer. The order of temperature measurement was randomized and recorded. Dogs were classified into three groups based on recorded temperature; normothermic (n = 105), hypothermic (n = 24), and hyperthermic (n = 23). Additional recorded parameters included: patient signalment, heart rate, respiratory rate, presence or absence of aural debris, coat length (classified as short, medium or long), body weight, body condition score, pain score, as well as venous lactate and non-invasive blood pressure, if performed. Results The overall aural temperatures were significantly lower than rectal temperatures. The average rectal and aural temperatures were 38.7°C (range 36.6–40.7°C) and 38.3°C (range 35.7°C–40.4°C), respectively. Among all canines, there was a moderate, statistically significant relationship between rectal and aural temperatures (r = 0.636; p < 0.001) and this relationship remained significant with a weaker relationship for normothermic dogs (r = 0.411; p < 0.001). For hyperthermic and hypothermic dogs, there was not a statistically significant relationship between rectal and aural temperatures. Hyperthermic dogs had a significantly higher respiratory rate than other groups and hypothermic dogs were more likely to have a short haircoat. Lastly, ambient temperature, but not humidity, influenced patient temperature. Conclusion Our study found aural temperatures were consistently lower than rectal temperatures in dogs with both normal and abnormal rectal temperatures. Aural thermometry may not be an acceptable method of temperature measurement in the emergency patient cohort.
Inspiratory muscle training to reduce risk of pulmonary complications after coronary artery bypass grafting: a systematic review and meta-analysis

Background Pulmonary complications occur in a substantial proportion of patients who undergo coronary artery bypass grafting. Inspiratory muscle training (IMT), a simple, well-tolerated physical therapy, has been proposed to reduce the risk of complications, but its efficacy remains controversial. Method Randomized controlled trials (RCTs) examining the influence of IMT on the risk of pulmonary complications after coronary artery bypass grafting were identified from PubMed, Embase, CENTRAL, CINAL, and Web of Science through March 2023. Data were meta-analyzed for the primary outcomes of pulmonary complications, defined as pneumonia, pleural effusion, and atelectasis; and in terms of the secondary outcomes of maximum inspiratory pressure, maximum expiratory pressure, length of hospitalization, 6 min walk test, and peak expiratory flow and other outcomes. Risk of bias and quality of evidence assessments were carried out using the RoB 2.0 and Grading of Recommendations Assessment, Development and Evaluation (GRADE) applied to primary outcomes of pulmonary complications. Results Data from eight RCTs involving 755 patients were meta-analyzed. IMT was associated with a significantly lower risk of postoperative pneumonia [relative risk (RR) 0.39, 95% confidence interval (CI) 0.25–0.62, P < 0.0001] and atelectasis (RR 0.43, 95% CI 0.27–0.67, P = 0.0002), but not pleural effusion (RR 1.09, 95% CI 0.62–1.93, P = 0.76). IMT was associated with significantly better maximum inspiratory pressure (preoperative: mean difference (MD) 16.55 cmH2O, 95% CI 13.86–19.24, P < 0.00001; postoperative: mean difference (MD) 8.99 cmH2O, 95% CI 2.39–15.60, P = 0.008) and maximum expiratory pressure (MD 7.15 cmH2O, 95% CI: 1.52–12.79, P = 0.01), and with significantly shorter hospitalization (MD −1.71 days, 95% CI −2.56 to −0.87, P < 0.001). IMT did not significantly affect peak expiratory flow or distance traveled during the 6 min walk test. Conclusions The available evidence from medium and high quality trials suggests that IMT can significantly decrease the risk of pneumonia and atelectasis after coronary artery bypass grafting while shortening hospitalization and improving the strength of respiratory muscles. Systematic Review Registration https://www.crd. york.ac. uk/prospero/, identifier: CRD42023415817.
Integrated Genomic Selection for Accelerating Breeding Programs of Climate-Smart Cereals

Rapidly rising population and climate changes are two critical issues that require immediate action to achieve sustainable development goals. The rising population is posing increased demand for food, thereby pushing for an acceleration in agricultural production. Furthermore, increased anthropogenic activities have resulted in environmental pollution such as water pollution and soil degradation as well as alterations in the composition and concentration of environmental gases. These changes are affecting not only biodiversity loss but also affecting the physio-biochemical processes of crop plants, resulting in a stress-induced decline in crop yield. To overcome such problems and ensure the supply of food material, consistent efforts are being made to develop strategies and techniques to increase crop yield and to enhance tolerance toward climate-induced stress. Plant breeding evolved after domestication and initially remained dependent on phenotype-based selection for crop improvement. But it has grown through cytological and biochemical methods, and the newer contemporary methods are based on DNA-marker-based strategies that help in the selection of agronomically useful traits. These are now supported by high-end molecular biology tools like PCR, high-throughput genotyping and phenotyping, data from crop morpho-physiology, statistical tools, bioinformatics, and machine learning. After establishing its worth in animal breeding, genomic selection (GS), an improved variant of marker-assisted selection (MAS), has made its way into crop-breeding programs as a powerful selection tool. To develop novel breeding programs as well as innovative marker-based models for genetic evaluation, GS makes use of molecular genetic markers. GS can amend complex traits like yield as well as shorten the breeding period, making it advantageous over pedigree breeding and marker-assisted selection (MAS). It reduces the time and resources that are required for plant breeding while allowing for an increased genetic gain of complex attributes. It has been taken to new heights by integrating innovative and advanced technologies such as speed breeding, machine learning, and environmental/weather data to further harness the GS potential, an approach known as integrated genomic selection (IGS). This review highlights the IGS strategies, procedures, integrated approaches, and associated emerging issues, with a special emphasis on cereal crops. In this domain, efforts have been taken to highlight the potential of this cutting-edge innovation to develop climate-smart crops that can endure abiotic stresses with the motive of keeping production and quality at par with the global food demand.
Orthogonal Experimental Design Based Binary Optimization Without Iteration for Fault Section Diagnosis of Power Systems

Fault section diagnosis (FSD) is considerably indispensable for the continuous and reliable electricity supply. In general, the analytical model of FSD is solved by derivative-free intelligent metaheuristic algorithms. However, intelligent metaheuristic algorithms require long iterations in the computation process, which leads to a time-consuming diagnostic process and difficulties in computing the correct results within a given computational resource. In addition, the stochastic nature of their evolutionary mechanism will lead to unstable diagnosis results. To overcome this shortcoming, we propose a simple yet efficient binary optimization method base on orthogonal experimental design in this article. This method does not require iterations in the calculations and relies only on a small number of representative combinations in the orthogonal table, resulting in less computational time and stable diagnosis results. The proposed method can identify valuable data between two initial fixed points quickly and utilize them to achieve the optimal solution without any iteration. Simulation results on different complex fault cases of two power systems indicate that it requires fewer computational resources to diagnose faults correctly compared with other methods. Besides, its diagnosis results are stable, reliable, and not affected by the complexity of fault scenarios.
Adherence to iron and folic acid supplementation and associated factors among mothers receiving antenatal care in Lira district, Uganda

Background: Prenatal iron and folic acid supplementation is an economical strategy for reducing iron and folic acid deficiency anemia among expectant mothers in resource-limited countries like Uganda. This study aimed to assess the level of compliance with iron and folic acid supplementation (IFAS) and identify associated factors among mothers receiving prenatal services in Lira district, Uganda. Methods: A cross-sectional study was conducted at the antenatal clinic of Lira Regional Referral Hospital, involving 252 pregnant mothers. Adherence levels to IFAS were evaluated using a visual analogue scale, and associated factors were collected through an interviewer-administered questionnaire. The data were analyzed using SPSS software, and the results were presented in tables. Results : Only 46% of the mothers attending the antenatal clinic adhered to IFAS during the 30 days preceding the study. Participants who had good knowledge of IFAS before recruitment (odds ratio (OR) 1.49, 95% confidence interval (CI) 1.12–1.97), utilized reminder techniques (OR 1.05, 95% CI 1.02–1.09), and received support from their partners or relatives (OR 1.56, 95% CI 1.07–2.29) were more likely to have good adherence. The main reasons for missing IFAS were forgetfulness and fear of taking too many tablets. Conclusions: There was a low adherence rate to IFAS among mothers attending antenatal clinics in Lira district. Further investigations are recommended to identify barriers to adherence, and comprehensive health education programs should be provided to pregnant mothers.
Time-dependent active microrheology in dilute colloidal suspensions

Abstract In a microrheological set-up a single probe particle immersed in a complex fluid is exposed to a strong external force driving the system out of equilibrium. Here, we elaborate analytically the time-dependent response of a probe particle in a dilute suspension of Brownian particles to a large step-force, exact in first order of the density of the bath particles. The time-dependent drift velocity approaches its stationary state value exponentially fast for arbitrarily small driving in striking contrast to the power-law prediction of linear response encoded in the long-time tails of the velocity autocorrelation function. We show that the stationary-state behavior depends nonanalytically on the driving force and connect this behavior to the persistent correlations in the equilibrium state. We argue that this relation holds generically. Furthermore, we elaborate that the fluctuations in the direction of the force display transient superdiffusive behavior.
Dual-wavelength Q-switched pulse generation using D-fibre and MoS2 saturable absorber

We have demonstrated a dual-wavelength Q-switched generation of erbium-doped fibre laser, which is achieved using a D-fibre and several layers of molybdenum disulfide as a saturable absorber. Bulk MoS2 has been processed using a liquid-phase exfoliation to obtain a layered structure. To provide a thin-film structure, MoS2 has been mixed with a polyvinyl-alcohol polymer. The dualwavelength spectrum of our device reveals two peaks centred at 1555 and 1562 nm. Q-switched operation at the both spectral peaks has been investigated using a tunable bandpass filter.
Reversible data hiding by combining local and global search

Finding an appropriate predictor is the (cid:12)rst and also the most important step for the histogram shifting based reversible data hiding. Unfortunately, most predictors reported in the literature cannot be directly introduced to the embedding process. To this end, this paper proposes a hybrid predictor for histogram shifting, which not only uses the local information near a pixel, but also utilizes the global information of the whole image. In addition, we design an estimation function which enables the use of sorting. As a result, the embedding performance is signi(cid:12)cantly improved. The superiority of the proposed data hiding method is (cid:12)nally experimentally veri(cid:12)ed by comparing with four state-of-the-art methods.
Regularity and stability of coupled plate equations with indirect structural or Kelvin-Voigt damping

In this paper, the regularity and stability of the semigroup associated with a system of coupled plate equations is considered. Indirect structural or Kelvin-Voigt damping is imposed, i.e., only one equation is directly damped by one of these two damping. By the frequency domain method, we show that the associated semigroup of the system with indirect structural damping is analytic and exponentially stable. However, with the much stronger indirect Kelvin-Voigt damping, we prove that, by the asymptotic spectral analysis, the semigroup is even not differentiable. The exponential stability is still maintained. Finally, some numerical simulations of eigenvalues of the corresponding one-dimensional systems are also given.
The anti-oncogenic effect of 17-DMAG via the inactivation of HSP90 and MET pathway in osteosarcoma cells

Heat shock protein (HSP) 90 plays a crucial role in correcting the misfolded three-dimensional structure of proteins, assisting them in folding into proper conformations. HSP90 is critical in maintaining the normal functions of various proteins within cells, as essential factors for cellular homeostasis. Contrastingly, HSP90 simultaneously supports the maturation of cancer-related proteins, including mesenchymal epithelial transition factor (MET) within tumor cells. All osteosarcoma cell lines had elevated MET expression in the cDNA array in our possession. MET, a tyrosine kinase receptor, promotes proliferation and an anti-apoptotic state through the activation of the MET pathway constructed by HSP90. In this study, we treated osteosarcoma cells with an HSP90 inhibitor, 17-demethoxygeldanamycin hydrochloride (17-DMAG), and assessed the changes in the MET signaling pathway and also the antitumor effect of the drug. The cell cycle in osteosarcoma cells administered 17-DMAG was found to be halted at the G2/M phase. Additionally, treatment with 17-DMAG inhibited cell proliferation and induced apoptosis. Inhibition of tumor cell proliferation was also observed in an in vivo model system, mice that were treated with 17-DMAG. Based on the results of this study, we were able to confirm that 17-DMAG promotes inhibition of osteosarcoma cell proliferation and induction of apoptosis by inhibition of MET, a protein highly expressed in osteosarcoma cells. This approach may be useful for the establishment of a new treatment strategy for patients resistant to the standard treatment for osteosarcoma.
Comparative analysis of zero aliasing logarithmic mapped optimal trade-off correlation filter

Correlation filters are a well established means for target recognition tasks. However, the unintentional effect of circular correlation has a negative influence on the performance of correlation filters as they are implemented in frequency domain. The effects of aliasing are minimized by introducing zero aliasing constraints in the template and test image. In this paper, the comparative analysis of logarithmic zero aliasing optimal trade off correlation filters has been carried out for different types of target distortions. The zero aliasing Maximum Average Correlation Height (MACH) filter has been identified as the best choice based on our research for achieving enhanced results in the presence of any type of variance which are discussed in results section. The reformulation of the MACH expressions with zero aliasing has been made to demonstrate the achievable enhancement to the logarithmic MACH filter in target detection applications.