Miracle-dz/UniFAR-FTUs huggingface dataset:
Does Online Dating Challenge Gendered Divisions of Household Labor?

Abstract:Online dating has modified how people find and select partners. In addition to outcomes already observed (e.g., exogamy), we argue that by subverting normative dating scripts, online courtship practices may set the course for partnerships that display more egalitarian divisions of routine household labor. This may be particularly true for the married and for lower-educated women, who generally report the least egalitarian allocation of domestic work. Furthermore, we posit that the relationship between meeting context and household labor will be partially explained by the selectivity of those who search for partners online but also by mechanisms specific to online dating that allow for greater relationship quality. We use 2008–2019 German Family Panel (pairfam) data in random-effects regression models to predict sharing of routine housework among women in marital and cohabiting opposite-sex unions (N = 3305). We find that meeting online is associated with greater sharing of housework for married women with lower-education, and that the link is robust even after accounting for observed selection into online dating via entropy balancing weights. Contrary to expectations, partnership quality has no mediating effect. Much of the positive association remains unexplained, suggesting that the different ways men and women negotiate power in the dating phase in digital versus non-digital partner markets may indeed play a role in how gender is enacted later on.
Static Vulnerability Analysis Using Intermediate Representations: A Literature Review

Analysis (SA) in Cybersecurity is a practice aimed at detecting vulnerabilities within the source code of a program. Modern SA applications, though highly sophisticated, lack programming language agnostic generalization, instead requiring codebase specific implementations for each programming language. The manner in which SA is implemented today, though functional, requires significant man hours to develop and maintain, higher costs due to custom applications for each language, and creates inconsistencies in implementation from SA-tool to SA-tool. A source of programming language generalization occurs within compilers. During the compilation process, source code is converted into a grammatically consistent Intermediate Representation (IR) (e.g. LLVM-IR) before being converted to an output format. The grammatical consistencies provided by the IR theoretically allow the same program written in different languages to be analyzed using the same mechanism. By using the IRs of compiled programming languages as the codebase of SA practices, multiple programming languages can be encompassed by a single SA tool. To begin understanding the possibilities the combination of SA and IRs may reveal, this research presents the following outcomes: 1) a systematic literature search, 2) a literature review, and 3) the classification of existing work pertaining to SA practices using IRs. The results of the study indicate that generalized Static Analysis using the LLVM IR is already a common practice in all compilers, but that the extended use of the LLVM IR in Cybersecurity SA practices aimed at finding vulnerabilities in source code remains underdeveloped.
Research on the Impact of CFO Background Heterogeneity on IPO Under-Pricing

: In the current market, IPO underpricing is widespread, which will bring a series of serious consequences to the company and the whole market. In the enterprise, the chief financial officer (CFO), as the financial core of the senior management, bears incomparable responsibilities for the enterprise finance. The role of the chief financial officer can be further reflected in the IPO process of the company. Generally speaking, the CFOs in different stages of listing are different, so their impact on IPO underpricing is also different. Based on this background, this paper takes the micro perspective of CFO's personal characteristics as the starting point to explore its impact on IPO underpricing rate. Firstly, this paper summarizes and introduces the relevant domestic and foreign research on the influencing factors of IPO Underpricing and the background characteristics of CFO. On the basis of understanding the research conclusions made by existing scholars, this paper considers the current market situation, studies relevant theories, considers the expected purpose, and puts forward a series of hypotheses combined with the existing results. Secondly, select effective indicators and models for empirical analysis to test the impact of the background characteristics of the CFO on the IPO underpricing range, and analyze whether the gender characteristics, educational characteristics and financial professional background characteristics of the CFO have a significant impact on the IPO underpricing range. Finally, according to the research results, this paper puts forward relevant suggestions to reduce IPO Underpricing and summarizes it.
Can serum soluble urokinase plasminogen activator receptor be an effective biomarker in comparing the inflammatory response between laparoscopic and open appendectomy?

Introduction The inflammatory response after laparoscopy and laparotomy has been compared in studies in adults, but only a few studies have compared the immune response between laparoscopy and laparotomy in children. Aim To compare open and laparoscopic appendectomies regarding a new biomarker, suPAR, to evaluate the inflammatory response. Material and methods Patients between 3 and 17 years of age who were admitted to the pediatric surgery department and scheduled for appendectomy due to appendicitis were enrolled in the investigation. The patients were randomized to receive either laparoscopic (n = 20) or conventional open appendectomy (n = 20). The primary outcome was a change in preoperative and postoperative suPAR levels. The secondary outcomes were the white blood cell count, lymphocytes, neutrophils, platelets, C-reactive protein level, appendix diameter, symptoms, symptom duration, surgical complications, operative time, rescue analgesics, hospital stay, and family satisfaction. Results The mean age of the patients undergoing laparoscopic appendectomy was 10.55 ±2.743 (3–17) years. The mean age of the patients undergoing open appendectomy was 11.40 ±3.515 (3–17) years. A statistically significant difference was found when the postoperative suPAR values between the two groups were compared (p = 0.048). The operative time and hospital stay in the laparoscopic group were significantly shorter than those in the open group (p = 0.001, p = 0.047). Conclusions Laparoscopic appendectomy is associated with a shorter operative time, a shorter hospital stay, and a smaller inflammatory response caused by surgical stress than open appendectomy. suPAR is an effective marker for comparing postoperative inflammatory stress between open and closed appendectomies.
Biodegradation of 17 β-estradiol by Serratia marcescens and Stenotrophomonas tumulicola co-culture isolated from a sewage treatment plant in Upper Egypt

Background and Objectives: 17 β-estradiol (E2) is an important pollutant of the aquatic system. It is responsible for sexual disruptions in the majority of aquatic organisms. This study aimed to search for bacteria with high potential degradation of E2 as an important method for bioremediation. Materials and Methods: Sewage water samples were collected and treated to isolate bacterial strains which were identified by conventional methods and 16S ribosomal RNA gene sequence analysis. The biodegradation of E2 by the isolated strains was evaluated under different environmental conditions. Results: Two bacterial strains were recovered from sewage water samples and identified as Stenotrophomonas tumulicola and Serratia marcescens, (named ASc2 and ASc5 respectively). Co-culture of the two strains showed biodegradation of approximately 93.6 % of E2 (50 mg. L−1) within 48 hours. However, the biodegradation capacity of the same E2 concentration was 69.4% and 71.2% for ASc2 and ASc5 each alone, respectively. The optimum cultivation conditions for efficient E2 biodegradation by co-culture were 5% (v/v) inoculation volume with 50 mg. L−1 of E2 as the initial concentration at pH 7 and 30°C within 48 hours inoculation period. Conclusion: This study detected new bacterial strains that are capable of rapid degradation of estrogen as an environmental pollutant.
Stability of stochastic SIRS epidemic models with saturated incidence rates and delay

Abstract In this article, we consider stochastic susceptible-infected-removed-susceptible (SIRS) epidemic models with saturated incidence rates and delay. We investigate the stochastic stability in probability of the disease-free and endemic equilibria for the stochastic dynamic model with variability in the natural death rate, and the stochastic stability in probability of the endemic equilibrium for the dynamic model when the variability in the environment is proportional to a deviation between the state of the system and the endemic equilibrium. The numerical experiments are provided to support our theoretical results.
Pengembangan Keamanan Sistem Rekam Medis Berbasis Blockchain dengan Smart Contract

Abstrak Manipulasi data kesehatan memicu keresahan masyarakat dan menurunkan tingkat kepercayaan terhadap langkah antisipatif yang dilakukan pemerintah Indonesia. Teknologi Blockchain menjadi salah satu solusi untuk mencegah data kesehatan yang berpotensi untuk dimanipulasi. Smart contract adalah protokol yang berjalan di jaringan blockchain. Metode ini mengikat suatu kesepakatan antara beberapa pihak dalam suatu perjanjian. Data kesehatan ini dapat dilindungi dari pihak internal dengan membuat kontrak cerdas antara dokter, pasien, dan pengelola website. Data diagnosis yang dibuat oleh dokter baru adalah valid jika pasien setuju. Administrator hanya dapat mengakses data jika disetujui oleh dokter dan pasien. Pengujian keamanan dilakukan melalui serangan injeksi SQL. Sistem yang belum menerapkan kontrak pintar dapat dikompromikan melalui uji injeksi muatan, sedangkan sistem yang telah menerapkan kontrak pintar hanya dapat memecahkan kueri login. Pengujian manipulasi data 10 kali setelah login berhasil menunjukkan bahwa data yang telah disimpan tidak dapat diubah karena memerlukan kontrak pintar.
DevOps Ontology - An ontology to support the understanding of DevOps in the academy and the software industry

Currently, the degree of knowledge about what DevOps really means and what it entails is still limited. This can result in an informal and even incorrect implementation in many cases. Although several proposals related to DevOps adoption can be found, confusion is not uncommon and terminology conflict between the proposals is still evident. This article proposes DevOps Ontology, a semi-formal ontology that proposes a generic, consistent, and clear language to enable the dissemination of information related to implementing DevOps in software development. The ontology presented in this article facilitates the understanding of DevOps by identifying the relationships between software process elements and the agile principles/values that may be related to them. The DevOps Ontology has been defined considering the following aspects: the REFSENO formalism that uses the representation in UML was used and the language OWL language using Prótegé and HermiT Reasoner to evaluate the consistency of its structure. Likewise, it was satisfactorily evaluated in three application cases: a theoretical validation; instantiation of the continuous integration and deployment practices proposed by the company GitLab. Furthermore, a mobile app was created to retrieve information from the DevOps Ontology using the SPARQL protocol and RDF language. The app also evaluated the Ontology’s proficiency in responding to knowledge-based questions using SPARQL. The results showed that DevOps Ontology is consistent, complete, and concise, i.e.: to say: the consistency could be observed in the ability to be able to infer knowledge from the ontology, ensuring that the ontology is complete by checking for any incompleteness and verifying that all necessary definitions and inferences are well-established. Additionally, the ontology was assessed for conciseness to ensure that it doesn't contain redundant or unnecessary definitions. Furthermore, it has the potential for improvement by incorporating new concepts and relationships as needed. The newly suggested ontology creates a set of terms that provide a systematic and structured approach to organizing the existing knowledge in the field. This helps to minimize the confusion, inconsistency, and heterogeneity of the terminologies and concepts in the area of interest.
The Structure of Nodes Visited in Sequential Simulation

Introduction Sequential simulation is a powerful and widely used stochastic simulation technique to sample multivariate probability spaces. For a given multivariate model, sequential simulation can be used to determine the conditional probability of a single random variable given any number of conditioning values. From a practical point of view, it is the basis for sequential indicator simulation (SISIM) (Deutsch and Journel, 1998) or single normal sequential simulation (SNESIM) (Strebelle, 2002) for discrete variable and sequential Gaussian simulation (SGSIM) (Deutsch and Journel, 1998) for continuous variables. The sequential simulation methodology is very straightforward. Most theory researches are focused on how to model the multivariate probability space and determine the conditional probabilities. Some practical details such as the search radius and number of conditioning data have been investigated (McLennan, 2002; Zanon and Leuangthong, 2004). The data pattern changes continuously along the random path in the sequential simulation process. In this paper, the random path is investigated to find the most important and representative data configurations.
A geometric calibration method for cone beam CT system

FDK algorithm widely used in cone beam CT image reconstruction has strict requirements on the geometric alignment of cone beam CT system. In terms of the cone beam CT system, especially the micro-CT system, the actual installation accuracy is difficult to meet the requirements of micro level positioning, it inevitably leads to image distortion. To solve this kind of problem, this paper proposes a geometric calibration method based on the square-line phantom. Firstly, we acquire square-line phantom projection in a fixed direction under different voltages, frame frequency and exposure time , and analytically determine the calibration geometry of the cone beam system. Finally reconstruct image using modified FDK algorithm， which has well calibrated the geometric errors of cone beam CT system. The experiments demonstrate that the proposed method has good noise immunity, and the positioning accuracy can meet the needs of practical application.
Giant photoluminescence enhancement in monolayer WS 2 by energy transfer from CsPbBr 3 quantum dots

Monolayer (ML) transition metal dichalcogenides (TMDCs) are thought to be highly promising materials for the optoelectronic and nanophotonic applications. However, the low absorption cross section and photoluminescence (PL) quantum yield in such atomically thin layers restrict their applications. Considering that the energy transfer in a heterostructure can modulate TMDCs’ optical properties, a type I heterostructure geometry comprising ML TMDCs and lead halide perovskite quantum dots (QDs) has the potential to overcome these shortcomings. In this work, spin-coating the CsPbBr3 QDs on ML WS2 results in ~12.7 times enhancement in the PL intensity of ML WS2 at 295K. This giant enhancement is attributed to the energy transfer process from CsPbBr3 QDs to WS2 with a ~40% energy transfer efficiency and ~2 × 108 s−1 energy transfer rate. Besides, we observed that the internal quantum efficiency of ML WS2 is increased from 6.35% to 29.01%. The result demonstrates the feasibility of using perovskite QDs and ML TMDCs to form a type I heterostructure and improve the performance of the TMDC-based optoelectronic devices.
Bayesian Distributional Non-Linear Multilevel Modeling with the R Package brms

The brms package allows R users to easily specify a wide range of Bayesian multilevel models, which are fitted with the probabilistic programming language Stan behind the scenes. A wide range of response distributions are supported in combination with an intuitive and powerful multilevel formula syntax. Non-linear relationships may be specified using non-linear predictor terms, splines or Gaussian processes. Additionally, all parameters of the response distribution can be predicted at the same time allowing for distributional regression. Model fit can be investigated and compared using leave-one-out cross-validation and graphical posterior-predictive checks. Many more post-processing and plotting methods are implemented.
Soil aggregates associated carbon and enzyme activities under long-term nitrogen and rice straw incorporation in Rice-Wheat system

ABSTRACT Intensive tillage and burning or removal of crop residues have led to a decline in soil organic carbon (SOC) content, posing a significant threat to soil quality and global food production. To mitigate this, adoption of conservation-agriculture practices, including residue retention/incorporation, is necessary to promote soil structural stability, increase SOC content, and enzyme activities, and restore carbon (C) sustainability in the rice-wheat system (RWS). Therefore, the long-term effects (10 years) of rice straw incorporation (RS) (0, 5, 7.5, and 10 Mg ha−1) and nitrogen (N) levels (0, 90, 120, and 150 kg N ha−1) in wheat on soil aggregate associated C pools and enzyme activities were studied. The results revealed that RS incorporation levels of RS7.5 and RS10 had 15.1% and 15.5% higher water-stable aggregates. Within the aggregate fractions, enzyme activities and C pools were significantly higher in the macro-aggregates fraction (Ma-A >0.25 mm) and least in micro-aggregates (Mi-A <0.25 mm). Under Ma-A fraction, treatments RS10 and N150 had higher enzyme activity compared to RS0 and N0. Under Ma-A, very labile C, labile C, less labile C, and recalcitrant C were increased by 34%, 25%, 33%, and 48% in RS10 over RS0 and by 20%, 28%, 23%, and 15% in N150 over the N0 level, respectively. Thus, the study concluded that the addition of crop residues (7.5 and 10 Mg ha−1) along with the N level of 150 kg ha−1 is a suitable management practice to promote soil structural stability and enzyme activities encouraging long-term SOC sustainability in the RWS.
Parameter dependences of the onset of turbulent liquid-jet breakup

Previous studies have predicted $We^{-2/5}$ dependence of the streamwise location at which primary breakup of turbulent liquid jets begins and $We^{-3/5}$ dependence of the Sauter mean diameter (SMD) of droplets released at that location, where $We$ is the jet Weber number. Measured deviations from these predictions were attributed to measurement uncertainties and to the simplicity of the analysis, which invoked turbulence inertial-range phenomenology. Here, it is proposed that breakup onset is instead controlled by the residual presence of the boundary-layer structure of the nozzle flow in the near field of the jet. Assuming that the size of the breakup-inducing eddy is within the scale range of the log-law region, $We^{-1}$ dependence of both the onset location and the SMD at onset is predicted. These dependences agree with the available measurements more closely than those previously predicted. To predict the dependences on the Reynolds number $Re$ , either the friction velocity in conjunction with the Blasius friction law or the bulk velocity can be used, where the former yields $Re^{3/8}$ and $Re^{1/4}$ dependence of the onset location and the SMD at onset respectively, while the latter implies no $Re$ dependence of either. The latter result is consistent with the available measurements, but the boundary-layer analysis indicates that the velocity scaling should be based on the friction velocity rather than the bulk velocity, so the origin of the measured lack of $Re$ dependence merits further investigation. A plausible hypothesis is that pressure effects associated with the transition from wall-bounded nozzle flow to jet free-slip boundary conditions induce a transient large-scale flow modification that counteracts the $Re$ dependence of the nozzle flow while preserving the logarithmic flow structure near the jet surface. Notwithstanding the absence of direct evidence supporting this hypothesis, the new analysis and comparisons of its predictions with measurements suggest that transient effects such as the residual influence of the nozzle-flow structure are the likely explanations of the observed parameter dependences.
Prediksi Toksisitas dan Farmakokinetika untuk mendapatkan Kandidat Obat Analgesik

Salah satu upaya penemuan obat baru untuk mengobati nyeri yang sering terjadi di masyarakat adalah dengan penapisan senyawa bioaktif yang berasal dari alam. Flavonoid merupakan salah senyawa bioaktif alami yang memiliki berbagai khasiat dalam pengobatan seperti sebagai antibakteri, antijamur, antivirus, antioksidan, antiinflamasi, antialergi, antinyeri dan antitumor. Senyawa bioaktif yang terdapat di flavonoid yang memiliki aktivitas sebagai antinyeri seperti gingerol, linalool, limonen, zingeron, zingiberol, anthocyanin, dan melatonin. Untuk mengetahui besarnya interaksi senyawa bioaktif dengan target dilakukan dengan penapisan virtual melalui Protox II Web Server untuk mengetahui toksisitas dan PkCSM untuk mengetahui ADMET. Dari penelitian ini diperoleh seluruh senyawa uji sangat aman, terbukti dengan hasil dari toksisitas, kesamaan dan organ target.One of the efforts to find new drugs to treat pain that often occurs in the community is by screening bioactive compounds derived from nature. Flavonoids are natural bioactive compounds that have various medicinal properties such as antibacterial, antifungal, antiviral, antioxidant, anti-inflammatory, antiallergic, anti-pain, and antitumor properties. Bioactive compounds contained in flavonoids that have anti-pain activity, such as gingerol, linalool, limonen, zingeron, zingiberol, anthocyanins, and melatonin, To determine the magnitude of the interaction of bioactive compounds with targets, virtual screening was carried out through the Protox II Web Server to determine toxicity and PkCSM to determine ADMET. From this research, it was determined that all test compounds were very safe, as evidenced by the results of toxicity, similarity, and target organs.