Miracle-dz/UniFAR-FTUs huggingface dataset:
Sistem Rekomendasi Pemilihan Smartphone Dengan Metode Case Based Reasoning (Studi Kasus : Masyarakat Kabupaten Subang)

Saat ini Smartphone telah menjadi benda yang sangat penting bagi kebanyakan masyarakat Indonesia. Hasil survey lembaga we are social, sampai dengan bulan Februari 2022 jumlah pengguna telepon genggam di Indonesia sebanyak 370.1 juta atau 133% dari jumlah penduduk Indonesia yang hanya 277.7 juta jiwa. Data yang sama menunjukan bahwa 96% penduduk indonesia yang berusia antara 16 sampai 64 tahun memiliki smartphone. Saat ini di Kecamatan Ciasem Kabupaten Subang terdapat 16.856 orang pelajar dari tingkat SD sampai SLTA yang di masa pandemi covid-19 menjalani program Sekolah Dari Rumah. Dipasaran tersedia banyak smartphone yang ditawarkan yang memiliki spesifikasi yang berbeda satu dengan yang lainnya walaupun satu merk, belum lagi perbedaan diantara merk yang ada. Banyaknya variasi model dan spesifikasi yang ditawarkan ini akan semakin menyulitkan pelajar maupun orangtua/walinya untuk mengambil keputusan yang tepat dalam membeli smartpohone agar produk yang dibeli sesuai dengan kebutuhan.Untuk membantu pelajar dan orang tuanya dalam menentukan pilihan smartphone yang akan dibeli dibutuhkan suatu sistem yang dapat membantu dalam merekomendasikan smartphone yang sesuai kebutuhan mereka. Metode yang digunakan adalah metode Research and Development (RD) dengan pengumpulan data melalui wawancara dengan 20 orang masyarakat untuk menentukan parameter yang digunakan dalam memilih smartphone dan dilanjutkan dengan teknik observasi yang dilaksanakan dengan mendatangi 10 toko telepon seluler yang ada di wilayah Kabupaten Subang untuk mengumpulkan data spesifikasi dan harga smartphone yang saat ini beredar di Kabupaten Subang. Sedangkan metode pengembangan sistemnya menggunakan teknik Software Development Life Cycle (SDLC) mulai dari tahap requirements definition, software design, implementation and testing, sampai tahap operation. Hasil penelitian berupa aplikasi rekomendasi pemilihan smartphone dengan metode case based reasoning (CBR) berbasis web yang dapat membantu pelajar/orang tua dalam memilih smartphone yang paling sesuai dengan kebutuhan berdasarkan dari data kasus yang paling mirip dengan parameter yang dimasukan pengguna. Aplikasi akan menampilkan tiga rekomendasi smartphone yang paling mendekati kriteria yang dipilih pengguna.
A Reverse-Salient Permanent Magnet Synchronous Motor for Electric Vehicles Considering Operating Conditions

Permanent magnet synchronous motors (PMSMs) provide many attractive electromagnetic performances such as high torque density, high efficiency and simple structure, which make them more competitive in electric vehicles (EVs). However, designing a PMSM with a wide constant-power speed range and high power factor at high speeds is still full of challenges and requires further effort. In this paper, the performance of vehicle motors considering their operating conditions is analyzed. The design rules of the reverse-salient permanent magnet synchronous motor (RSPMSM) are summarized, and an RSPMSM is proposed. The principle of the RSPMSM with high torque especially in the flux-weakening states is studied by analyzing the variable flux leakage and variable saliency ratio in detail. The electromagnetic performance of the proposed RSPMSM is investigated using the finite element method (FEM), and its prototype is manufactured and tested. The experimental results show that the constant-power speed range is 5.5:1, and the power factor is close to 1 at high speed. Thus, the RSPMSM proposed in this paper is a favorable candidate for EVs.
Diboson production at LHC and Tevatron

This is a report at the conference Physics In Collision 2013. The experimental results on physics of diboson production are reviewed. The measurements use pp collision at the LHC with center-of-mass energy $\sqrt{s} = 7$ and 8 TeV, and $p\bar{p}$ collision at the Tevatron with $\sqrt{s} = 1.96 \, {\rm TeV}$. These include measurements of Wγ, Zγ, WW, WZ and ZZ production. The results are compared with Standard Model predictions, and are interpreted in terms of constraints on charged and neutral anomalous triple gauge couplings.
From Junior to Elite in Soccer: Exploring the Relative Age Effect and Talent Selection in Spanish Youth National Teams

The implications of relative age grouping in sport are known as the Relative Age Effect (RAE). This study has the twofold purpose of analyzing RAE in Spanish youth national soccer teams and examining the prediction value of being selected for national youth teams to be a professional. The sample was composed of 548 players divided into five groups. A descriptive analysis of distribution and participation, frequencies, mean and standard deviation, crosstabs, Sankey charts, coefficient correlation and Cohen’s effect size criteria and two regression analyses were performed. Results established that the RAE is present in U’17 to U’21 Spanish youth national teams. Talent detection and selection programs are more reliable the closer they are to adulthood, reaching a success rate of almost 100% at the U’21 stage. The selection of players for such programs should be delayed as much as possible, thus, preventing younger players from dropping out and those selected from thinking they have already reached their goal. To this end, they should focus on long-term improvement, not short-term performance. In addition, factors such as the RAE or the maturity level of the athletes should be monitored.
PyunBBX18 Is Involved in the Regulation of Anthocyanins Biosynthesis under UV-B Stress

(1) Background: Populus yunnanensis Dode (P. yunnanensis) grows in the low-latitude and high-altitude areas of southwest China. In low-latitude and high-altitude areas, plants suffer from the high intensity of UV-B (ultraviolet-b) radiation, and they have a complete regulation system to adapt to the environment of the high UV-B radiation. As natural antioxidants, anthocyanins play an important role in scavenging free radicals. BBX (B-box) genes are involved in anthocyanins biosynthesis. (2) Methods: By exploring the gene structure and motifs of PyunBBX genes (genes of P. yunnanensis BBX family) and the evolutionary relationship between PyunBBX genes and other species BBX genes, six PyunBBX genes that responded to UV-B and participated in anthocyanins biosynthesis were screened. BBX, with the potential to regulate anthocyanins biosynthesis, was further investigated by anthocyanins content determination and RT-qPCR (real-time quantitative polymerase chain reaction); (3) Results: After 7 days of UV-B treatment, anthocyanins were significantly accumulated, and the expression of PyunBBX18 was up-regulated for 7 days. The expression of PyunBBX12 was inhibited by UV-B treatment. By analyzing the RNA-seq data of leaves and bark of P. yunnanensis, we found that PyunBBX18 was highly expressed in leaves and young bark; (4) Conclusions: These results showed that PyunBBX18 and PyunBBX12 may be involved in the response process of UV-B stress, in which PyunBBX18 may regulate the anthocyanins biosynthesis to resist UV damage.
The role of Nanoparticle Catalysis in the Nylon Production

Renewal in the world production of plastics with growing amounts of building blocks from biomass is a pressing demand among society. Adipic acid is one of the monomers of nylon 6,6, and, traditionally, is obtained from fossil sources, but it is possible to reduce the muconic acids, deriving it from biomass, to obtain adipic acid. However, these catalyzed reactions use commonly hazardous conditions or reagents; in this study, a pathway to obtain a bio-adipic acid, following the Green Chemistry, is reported. Metal nanoparticles (M NPs; M = Pd, Pt, Ru, Rh) were synthesized in water at 80 °C using sodium lignosulphonate as a reducing and stabilizing agent. They were characterized by TEM and XRD techniques: Pd NPs were larger (21 nm) and spherical in shape; Pt NPs were irregular; Ru and Rh NPs were smallest (1.9 and 5.3 nm, respectively). M NPs were tested as catalyst in the hydrogenation reactions of dicarboxylic acids (fumaric, malonic, trans,trans- and cis,cis-muconic acids) in water at room pressure and temperature. The NPs transformed selectively fumaric and malonic acids to succinic acid, although with different yields. Ru and Pt NPs were moderately active while with Pd NPs, 80% of succinic acid was obtained and with Rh NPs, 100% was observed. Carrying out the hydrogenations on muconic acids at pH 5, the formation of adipic acid was observed with all NPs but selectivities in the presence of Ru, Pt and Pd NPs were not excellent. The selectivity with Rh NPs was remarkable (86% from cis,cis- and about 100% from trans,trans-muconic acid) considering the mild conditions; furthermore, it is attractive that the adipic acid was obtained also from the cis,cis isomer which can be produced from biomass.
Quasiparticle band structure and tight-binding model for single- and bilayer black phosphorus

By performing ab initio calculations for one- to four-layer black phosphorus within the $GW$ approximation, we obtain a significant difference in the band gap ($\ensuremath{\sim}$1.5 eV), which is in line with recent experimental data. The results are analyzed in terms of the constructed four-band tight-binding model, which gives accurate descriptions of the mono- and bilayer band structure near the band gap, and reveal an important role of the interlayer hoppings, which are largely responsible for the obtained gap difference.
CIRCUMSTELLAR ABSORPTION IN DOUBLE DETONATION TYPE Ia SUPERNOVAE

Upon formation, degenerate He core white dwarfs are surrounded by a radiative H-rich layer primarily supported by ideal gas pressure. In this Letter, we examine the effect of this H-rich layer on mass transfer in He+C/O double white dwarf binaries that will eventually merge and possibly yield a Type Ia supernova (SN Ia) in the double detonation scenario. Because its thermal profile and equation of state differ from the underlying He core, the H-rich layer is transferred stably onto the C/O white dwarf prior to the He core's tidal disruption. We find that this material is ejected from the binary system and sweeps up the surrounding interstellar medium hundreds to thousands of years before the SN Ia. The close match between the resulting circumstellar medium profiles and values inferred from recent observations of circumstellar absorption in SNe Ia gives further credence to the resurgent double detonation scenario.
GAS AND DUST IN A SUBMILLIMETER GALAXY AT z = 4.24 FROM THE HERSCHEL ATLAS

We report ground-based follow-up observations of the exceptional source, ID 141, one of the brightest sources detected so far in the Herschel Astrophysical Terahertz Large Area Survey cosmological survey. ID 141 was observed using the IRAM 30 m telescope and Plateau de Bure interferometer (PdBI), the Submillimeter Array, and the Atacama Pathfinder Experiment submillimeter telescope to measure the dust continuum and emission lines of the main isotope of carbon monoxide and carbon ([C i] and [C ii]). The detection of strong CO emission lines with the PdBI confirms that ID 141 is at high redshift (z = 4.243 ± 0.001). The strength of the continuum and emission lines suggests that ID 141 is gravitationally lensed. The width (ΔVFWHM ∼ 800 km s−1) and asymmetric profiles of the CO and carbon lines indicate orbital motion in a disk or a merger. The properties derived for ID 141 are compatible with an ultraluminous (LFIR ∼ (8.5 ± 0.3) × 1013 μ−1L L☉, where μL is the amplification factor), dense (n ≈ 104 cm−3), and warm (Tkin ≈ 40 K) starburst galaxy, with an estimated star formation rate of (0.7–1.7) × 104 μ−1L M☉ yr−1. The carbon emission lines indicate a dense (n ≈ 104 cm−3) photon-dominated region, illuminated by a far-UV radiation field a few thousand times more intense than that in our Galaxy. In conclusion, the physical properties of the high-z galaxy ID 141 are remarkably similar to those of local ultraluminous infrared galaxies.
Off-center dark matter halo leading to strong central disk lopsidedness

There is increasing evidence from simulations and observations that the center of the dark matter halo in a Milky Way-type galaxy could be off-center by a few 100 pc with respect to the galactic disk. We study the effect of such an offset halo on the orbits and kinematics in the central few kpc of the disk via a simple, analytical model. The equations of motion in the disk plane can be written in terms of the potentials of the disk and halo when they are concentric, and a perturbation term arising due to the offset halo. We show that this perturbation potential has an m = 1 azimuthal variation, or is lopsided, and its magnitude increases at small radii. On solving these equations, we find that the perturbed orbit shows a large deviation, similar to 40% in radius at R = 1.5 kpc, and also strong kinematical lopsidedness. Thus, even a small halo offset of 350 pc can induce surprisingly strong spatial and kinematical lopsidedness in the central region within a similar to 3 kpc radius. The disk lopsidedness would have important implications for the evolution of this region; for example, it could help fuel the central active galactic nucleus.
Intervention of Medicinal Plants for Improving Male Fertility

into four phases, namely desire, arousal, orgasm, and resolution. Male infertility is a major problem worldwide which is defined as the inability of sexually active, non-contraceptive couples to have offspring in a year. Many factors affect the quality of semen including environmental, nutritional, and “lifestyle-related reasons. Male infertility problems may be contributory to 30 to 40 percent of infertile couples. There are many qualitative and quantitative parameters to check infertility in men which are quality of semen, number of sperm per ml of semen, sperm motility, abnormalities in sperm morphology, etc. Many plants are scientifically studied for their effect on male sexual dysfunction. Evidence showed that plants investigated on male infertility uplift the level of testosterone. The studies made it clear that testosterone plays an important role in sexual interest and associated sexual arousal.
Aerobic Training for Healthy Men and Women: Determining Intensities by Different Equations

The aim of this study is to develop equations for aerobic exercise prescription for the intensities of 50, 60, 70 and 80% in healthy subjects of both sexes. Method. This is a cross-sectional study with convenience sampling drawn from a database of 228 healthy subjects who were randomized into the regression group (GR: 197 subjects (male = 143 and female = 54)) and cross-validation group (CVG: 31 individuals [men = 20 and women = 11]). Kohavi’s assumptions were followed in relation to cross-validation and bootstrap for precision estimation and model selection. The GR was used to build the estimation equations from the multiple linear regression. The CVG was determined to analyze the validity in the estimation equations. The equations to determine the intensities were constructed by means of multiple regression, the independent variables were determined by the stepwise method, observing the significance level of p < 0.05. Results. The reliability level of Cronbach’s alpha of the multiple linear regression equations was moderate for the intensity of 50% (0.51); for the intensities of 60, 70 and 80%, it corresponded to 0.50, 0.53 and 0.57, respectively. Conclusion. The results show that it is possible to apply the equations in the determination of aerobic exercise intensities for healthy individuals. However, the need for further studies in other populations to prove the reliability of the proposed equations is evident.
Bayesian grouped variable selection

Traditionally, variable selection in the context of linear regression has been approached using optimization based approaches like the classical Lasso. Such methods provide a sparse point estimate with respect to regression coefficients but are unable to provide more information regarding the distribution of regression coefficients like expectation, variance estimates etc. In the recent years, there has been some progress on the Bayesian formulation for variable selection like for example, the Bayesian Lasso. Motivated by these developments, in this thesis, we build an omnibus Bayesian framework for grouped-variable selection in linear regression models. This framework is capable of summarizing the posterior distribution over the regression coefficients with estimates for the moments and the mode. The inference is carried out using Markov Chain Monte Carlo (MCMC) sampling. The estimate for the mode of the posterior distribution over regression coefficients is also generated from the same MCMC sampling algorithm with minimal changes using simulated annealing. Going beyond simple linear regression, the framework is also extended further to accommodate generalized linear models like Poisson and binomial models with minimal changes to the framework. On the algorithm side, we develop a highly efficient MCMC sampling algorithm for inference purposes. Apart from the Poisson and binomial models, another model that has been incorporated into this framework is the Weibull model which is extensively used for survival analysis. This extension has been combined with an additional clustering component using a survival mixture-of-experts model. The clustering component is particularly useful for performing variable selection (per cluster) simultaneously with cluster identification using Dirichlet processes which avoids the need for fixing the number of clusters in advance. The resulting framework has been applied to several biological applications like identification of novel compound bio-markers for breast cancer from tissue microarray data and analyzing splice site data for identifying distinguishing features of true splice sites. Survival data for breast cancer patients has been used to identify low-risk and high-risk patients and the significant compound markers of each group.
Hematological Parameters in Newborns of Mothers with and Without Preeclampsia

Background: Pregnancy-induced hypertension, preeclampsia, and eclampsia syndrome are multisystem disorders associated with adaptive changes in the fetal circulation and cause a marked imbalance in the hemostatic system of the mother and fetus. Objectives: This study aimed to compare hematological parameters in newborns of mothers with and without preeclampsia. Methods: This prospective case-control study included 30 newborns of mothers with preeclampsia and 30 newborns with normotensive mothers matched for age and sex as a control group. Umbilical cord blood samples were collected from all newborns, and complete blood count and ferritin levels were measured. The data were analyzed using SPSS version 21, and the difference between the two groups was compared using the independent t-test and Mann-Whitney test. Results: The newborns of mothers with preeclampsia had higher mean corpuscular volume, mean corpuscular hemoglobin, red cell distribution width, mean platelet volume, and platelet distribution width but lower white blood cell counts, platelet counts, and ferritin level than those of the control group (P < 0.05). Also, the mean red blood cell count, hemoglobin, and hematocrit was higher in the preeclamptic mothers’ newborns compared to those of the control group, although not significant (P > 0.05). Conclusions: Newborns of mothers with preeclampsia should be carefully evaluated and monitored regarding hematologic abnormalities and early diagnosis of possible complications.
"The Double Dividend of Training"  Labor Market Effects of Work-Related Continuous Education in Switzerland

committed to the IZA key ABSTRACT This paper presents the first longitudinal estimates of the effect of work-related training on labor market outcomes in Switzerland. Using a novel dataset that links official census data on adult education to longitudinal register data on labor market outcomes, we apply a regression-adjusted matched difference-in-differences approach with entropy balancing to account for selection bias and sorting on gains. We find that training participation increases yearly earnings and reduces the risk of unemployment two years after the treatment. However, the effects are heterogeneous as to gender, age, education, and regional labor market context. The gains are highest for middle-aged men with formal vocational education working in either depressed or booming labor markets.
Words Like Weapons: Labeling Women As Emotional During a Disagreement Negatively Affects the Perceived Legitimacy of Their Arguments

With one in eight Americans thinking women are too emotional to be in politics (Carnevale et al., 2019), being labeled as emotional during a disagreement may activate stereotypes about a woman's irrationality and affect how legitimate people perceive her arguments to be. We experimentally tested the effects of such labels. In Study 1 (N = 86), participants who read a vignette where a woman (versus a man) was told to “calm down” during a disagreement, saw her argument as significantly less legitimate. Perceived emotionality mediated the relation between condition and perceived legitimacy. Study 2 replicated this finding (N = 126) with different vignettes where the character was explicitly labeled as “emotional. ” Using video vignettes in Study 3 (N = 251), we failed to replicate the results observed in Studies 1 and 2. We hope practitioners use these studies to increase awareness of how stereotype-laden labels can delegitimize women's arguments, particularly when heard via writing (e.g., via email, text, or instant messaging) rather than when observed. This work may motivate observers to challenge the use of delegitimizing labels, so that women's claims can be judged based on the soundness of their arguments, rather than stereotypes about their ability to think rationally. Additional online materials for this article are available on PWQ's website at http://journals.sagepub. com/doi/suppl/10.1177/03616843221123745
Liver Graft Proteomics Reveals Potential Incipient Mechanisms behind Early Renal Dysfunction after Liver Transplantation

Acute kidney injury (AKI) is frequent after liver transplantation (LT) and correlates with later development of chronic kidney disease. Its etiology is multifactorial and combines pre-, intra-, and postoperative factors. Additionally, the liver graft itself seems an important element in the development of AKI, yet the detailed mechanisms remain unclear. We hypothesized that grafts of LT recipients developing significant early AKI may show distinct proteomic alterations, and we set out to identify proteome differences between LT recipients developing moderate or severe AKI (n = 7) and LT recipients without early renal injury (n = 7). Liver biopsies obtained one hour after reperfusion were assessed histologically and using quantitative proteomics. Several cytokines and serum amyloid A2 (SAA2) were analyzed in serum samples obtained preoperatively, 2–4 h, and 20–24 h after graft reperfusion, respectively. LT induced mild histological alterations without significant differences between groups but uniformly altered liver function tests peaking on postoperative day 1, with a trend towards more severe alterations in patients developing AKI. Global quantitative proteomic analysis revealed 136 proteins differing significantly in their expression levels (p < 0.05, FC 20%): 80 proteins had higher and 56 had lower levels in the AKI group. Most of these proteins were related to immune and inflammatory responses, host defense, and neutrophil degranulation. No differences between the studied pro- and anti-inflammatory cytokines or SAA2 between groups were found at any moment. Our results suggest that grafts of LT patients who develop early AKI reveal a distinct proteome dominated by an early yet prominent activation of the innate immunity. These findings support the hypothesis that AKI after LT may be favored by certain graft characteristics.