Miracle-dz/UniFAR-FTUs huggingface dataset:
Isotope fractionation and concentration measurements of Zn in meteorites determined by the double spike, IDMS‐TIMS techniques

Abstract– The isotope fractionation of Zn in meteorites has been measured for the first time using thermal ionization mass spectrometry and a double spiking technique. The magnitude of δZn ranged from −0.29 to +0.38‰ amu−1 for five stone meteorites whereas the iron meteorite Canyon Diablo displays δZn of 1.11 ± 0.11‰ amu−1. The results for chondrites in this work can be divided into positive and negative δZn, supporting a previous proposal that chondrites are a mixture of materials from two different temperature sources. The Zn isotope fractionation present in meteorites may represent a primordial heterogeneity formed in the early solar system. An anomalous isotopic composition of Zn obtained for the Redfields iron meteorite suggests large‐scale inherited isotope heterogeneity of the protosolar nebula, or the presence of a parent body that has formed within its own isotopically anomalous reservoir. These anomalies are in the same direction but smaller than nuclear field shift effects observed in chemical exchange reactions. The isotope dilution mass spectrometry (IDMS) technique was used to measure Zn concentration, yielding a range from 20.1 μg g−1 to 302 μg g−1 in five stone meteorites and from 0.019 to 26 μg g−1 in seven iron meteorites. The IDMS‐measured abundance of Zn in Orgueil is 302 ± 14 μg g−1 and should be considered for future compilations of the abundance of Zn in the solar system.
Mayors, Using Cultural Expenditure in An Opportunistic Way Improves the Chances of Re-Election, but Do Not Do It: Revisiting Political Budget Cycles

This article analyzes whether expenditure on the provision of merit goods, culture, health, education, and sports, by local governments, in medium-sized cities (between 20,000 and 100,000 inhabitants) is tied to the electoral cycle; that is, whether expenditure increases in the run up to an electoral process. Further, we analyze whether the increase in spending on Culture by local governments has any significant effect on the probability of local governments being re-elected. To answer these questions, a database of 350 medium-sized municipalities is used comprising the period 2011 to 2019, when two municipal elections were held in Spain; in 2015 and in 2019. The results confirm that both total spending and spending on culture and sports, are tied to the electoral cycle, while expenditure on other merit goods is not. Moreover, using a logit model, it is confirmed that an increase in culture expenditure has a significant effect on the probability of the government being re-elected. Specifically, a one-third increase in cultural expenditure, as a proportion of total expenditure (e.g., passing from 6% to 8%) at local government level, improves re-election chances by almost 10%.
Exploring gender-based influences on key features of Airbnb accommodations

Abstract Our research aims to address the following research questions: (a) to identify guests’ hidden experiences in a distribution of terms over a fixed vocabulary by analysing a bulk set of online reviews through the process of text mining, and in particular, (b) to assess if the Airbnb guest experience represented in them can be used to enhance Airbnb services. On the other hand, our study analyses the relationship between the topics identified and Airbnb pricing, and mainly measures the influence of gender as a moderating cue. In this regard, a growing body of research has emerged to examine gender differences in leisure participation. In particular, our study concludes how the guests’ gender affects the contributions of listings’ features in price prediction. Females are more intrinsically motivated and preferentially mention, for instance, the Airbnb accommodation’s location and the gratifying (local) experiences in their narratives. On the contrary, male guests highlight hygiene and apartment facilities. To sum up, our research provides design guidelines to reflect the willingness to hire an apartment, offering insights for research and practice, and allowing the layout of pricing-recommendation systems.
Collisional growth in a particle-based cloud microphysical model: insights from column model simulations using LCM1D (v1.0)

Abstract. Lagrangian cloud models (LCMs) are considered the future of cloud microphysical modelling. Compared to bulk models, however, LCMs are computationally expensive due to the typically high number of simulation particles (SIPs) necessary to represent microphysical processes such as collisional growth of hydrometeors successfully. In this study, the representation of collisional growth is explored in one-dimensional column simulations, allowing for the explicit consideration of sedimentation, complementing the authors' previous study on zero-dimensional collection in a single grid box. Two variants of the Lagrangian probabilistic all-or-nothing (AON) collection algorithm are tested that mainly differ in the assumed spatial distribution of the droplet ensemble: the first variant assumes the droplet ensemble to be well-mixed in a predefined three-dimensional grid box (WM3D), while the second variant considers the (sub-grid) vertical position of the SIPs, reducing the well-mixed assumption to a two-dimensional, horizontal plane (WM2D). Since the number of calculations in AON depends quadratically on the number of SIPs, an established approach is tested that reduces the number of calculations to a linear dependence (so-called linear sampling). All variants are compared to established Eulerian bin model solutions. Generally, all methods approach the same solutions and agree well if the methods are applied with sufficiently high resolution (foremost is the number of SIPs, and to a lesser extent time step and vertical grid spacing). Converging results were found for fairly large time steps, larger than those typically used in the numerical solution of diffusional growth. The dependence on the vertical grid spacing can be reduced if AON-WM2D is applied. The study also shows that AON-WM3D simulations with linear sampling, a common speed-up measure, converge only slightly slower compared to simulations with a quadratic SIP sampling. Hence, AON with linear sampling is the preferred choice when computation time is a limiting factor. Most importantly, the study highlights that results generally require a smaller number of SIPs per grid box for convergence than previous one-dimensional box simulations indicated. The reason is the ability of sedimenting SIPs to interact with a larger ensemble of particles when they are not restricted to a single grid box. Since sedimentation is considered in most commonly applied three-dimensional models, the results indicate smaller computational requirements for successful simulations, encouraging a wider use of LCMs in the future.
Modelling hydrological responses under climate change using machine learning algorithms – semi-arid river basin of peninsular India

Catchment scale conceptual hydrological models apply calibration parameters entirely based on observed historical data in the climate change impact assessment. The study used the most advanced machine learning algorithms based on Ensemble Regression and Random Forest models to develop dynamically calibrated factors which can form as a basis for the analysis of hydrological responses under climate change. The Random Forest algorithm was identified as a robust method to model the calibration factors with limited data for training and testing with precipitation, evapotranspiration and uncalibrated runoff based on various performance measures. The developed model was further used to study the runoff response under climate change variability of precipitation and temperatures. A statistical downscaling model based on K-means clustering, Classification and Regression Trees and Support Vector Regression was used to develop the precipitation and temperature projections based on MIROC GCM outputs with the RCP 4.5 scenario. The proposed modelling framework has been demonstrated on a semi-arid river basin of peninsular India, Krishna River Basin (KRB). The basin outlet runoff was predicted to decrease (13.26%) for future scenarios under climate change due to an increase in temperature (0.6 °C), compared to a precipitation increase (13.12%), resulting in an overall reduction in water availability over KRB.
Pore shape and organic compounds drive major changes in the hydrological characteristics of agricultural soils

A small increase in soil organic matter (SOM) content can change soil hydrological properties from a completely wettable to a partially water‐repellent state. Although considerable research describes hydrophobic compounds as a primary driver of this shift, the influence of pore shape has only been considered in a few studies and none of these has emphasized the role of different carbon compounds. Using a capillary bundle model of non‐cylindrical (wavy) capillaries, we described measured hydrological properties of five agricultural soils that have a small degree of water repellency and textures ranging from coarse sand to heavy clay. To isolate the influence of SOM, it was removed by combustion to provide an SOM‐free treatment. Water and methanol sorptivities quantified infiltration rates and soil‐water wetting angles in packed soil cores. Different cores were sectioned to measure wetting profiles and calculate diffusivity. The results from natural soils were supplemented by measurements carried out on model ‘soils’ consisting of quartz particles (50–200 µm) with four different hydrophobic states. Soil organic matter removal increased water sorptivity from about 60% for a coarse sandy soil (Haplic Arenosol) to about 290% for a heavy clay soil (Haplic Leptosol), corresponding to a decreased apparent wetting angle of 20–30°. Application of the wavy pore model suggests that the apparent wetting angle resulting from SOM removal can be several times smaller than its Young value. Generally, SOM removal increased water diffusivity values by one to two orders of magnitudes. The SOM components having the greatest impact on contact angle were hexanedioic acid and heneicosanoic acid (both hydrophilic) and docosane (hydrophobic).
Parent councils, parent involvement, and parent satisfaction: Evidence from rural schools in China

Parents are one of the most important factors promoting children’s educational success. Using parent survey data from rural primary and middle schools in one county, this study examines the implementation of the parent councils (PCs) policy in rural China, specifically, the relationships among PCs, school-based parent involvement (PI), and parent satisfaction. Our analysis shows that not all schools have established PCs and only a small proportion of parents were aware of the existence of PCs. Multi-level mixed effects logistic regression results indicate that having a PC and perceiving a PC in school were both associated with improved parent-teacher communication and parent participation in various school activities. However, the magnitudes of the relationships were substantially higher in the models using perceived existence of PCs. Because of more frequent parent-teacher communication and parent participation in school activities, parent satisfaction levels were higher in schools with PCs, and the satisfaction levels were even higher in schools where parents were aware of the PC’s existence. The findings contribute to our understanding of the importance of PI and have implications for policymakers and school leaders to promote parent satisfaction by establishing PCs, raising the awareness of PCs among parents, and increasing meaningful school-based PI.
Carcass characteristics and meat quality of male goat kids supplemented by alternative feed resources: Olive cake and cactus cladodes.

Background The current study was carried out to evaluate the effect of olive cake and cactus cladodes incorporation on carcass characteristics and meat quality of goat kids.Methods Forty-eight male goat kids were divided into four groups. The control group received a conventional supplementation and the test groups were supplemented with a concentrate containing, on dry matter basis, 35% of olive cake (OC), 30% of cactus cladodes (CC), or 15% OC and 15% CC (OC+CC) respectively. After 3 months, all animals were slaughtered and the carcass quality was characterized. Samples of Longissimus dorsi and Semimembranosus were collected to determine meat quality.Results The diets did not affect final body weight and carcass characteristics, except for muscle index that decreases with 35% OC, and redness and yellowness at tail outline and belly (P < 0.05). The OC incorporation increased yellowness at tail and decreased redness at belly (P < 0.05), while the CC inclusion decreased redness at tail outline (P < 0.01), and redness (P < 0.05) and yellowness at belly (P < 0.01). Meat ultimate pH, color, moisture and tenderness were not affected by diets. In Longissimus dorsi, higher proteins (P < 0.001) and lower fat and ash (P < 0.05) content were observed with CC, and lower proteins content with OC and OC+CC (P < 0.001). In Semimembranosus, a low initial pH (P < 0.05) was observed with OC and high protein content (P < 0.001) with CC and OC+CC. Generally, groups, ratios, and indexes of fatty acids (FA) were similar between groups, except FA profile that was affected by diet, especially for Semimembranosus. In Longissimus dorsi, the OC and CC introduction decreased C16:1, and C20: 3n3 increased with CC and OC+CC (P < 0.05). While in Semimembranosus, OC increased C6, C8, C18:3n3, C20:2 and C22:2, whereas CC incorporation reduced C8, C10, and C15:1, and OC+CC reduced C10 (P < 0.05). Conclusions This study was shown that OC and CC could be introduced in goat kids’ diet, without a negative effect on carcass characteristics and meat quality.
Implementing the Flipped Approach in an English-Medium-Instruction Educational Psychology Course: Student Learning Outcome and Perception

Academic courses taught in English are already difficult for many EFL students. This is especially the case if the class is conducted primarily through lectures. The aim of this study is to show that the flipped approach (FA) in an English-medium-instruction (EMI) course may be an alternative to the traditional teacher-lecture course for EFL undergraduates, if certain weaknesses in the approach are addressed. The students overall had positive perceptions of the FA, but perhaps more important and less frequently noted is that, by using the FA approach, EFL instructors can more clearly identify student-learning challenges. It is not clear, however, if the FA approach can subsequently address these challenges. Therefore, some appropriate pedagogical suggestions and shortcomings are given for those who plan to implement the FA in an EMI course.
A study on awareness and acceptance of contraceptive methods in postpartum women in a tertiary care institute

Contraception is an important tool to reduce unwanted pregnancy and promote healthy, better living among women. India was the first in the world to initiate the national family planning program in the year 1951 with the objective of “reducing the birth rate to the extent necessary to stabilize the population at a level consistent with requirement of national economy. ” The drastic population growth in India calls for steps to stabilize India’s population. The benefits of family planning program have become increasingly recognized worldwide, for improvement in health, social, economic status of families and improve the public health by reducing the maternal and neonatal mortality and morbidity. Contraception includes both temporary and permanent measures, designed to prevent pregnancy and promote small family norm.
Evaluation of Yield and Yield Components of Eggplant (Solanum melongena L.) Genotypes in the Terai Region of Nepal

The productivity of eggplant in Nepal is very low due to lack of high yielding, disease and pests resistant varieties. Eight eggplant genotypes [Parwanipur Selection -1 (PS-1), Pusa Purple Long (PPL), Pokhara Lurki, Lalgulab, Pusa Kranti, Arka Keshav, HRDBRI-012 and HRDBRI-013] were evaluated at on-station research field of Regional Agricultural Research Station, Parwanipur, Bara, and PS -1, PPL, Pokhara Lurki, Lalgulab, Pusa Kranti, and Arka Keshav were evaluated at farmers’ field, Bara and Parsa districts from 2018 to 2019. Results of the on-station experiment showed that genotype PS-1 was the earliest maturing genotype and was harvested at 56 days after transplanting. The number of fruits per plot (9 m area) was 189 in Arka Keshav followed by HRDBRI-012 (180) and PS-1 (179). The number of marketable fruits per plot (9 m) was highest in Lalgulab (166) followed by PS-1 (152). The biggest fruit size was recorded in PS-1 (130 g) followed by Pusa Kranti (121 g) and PPL (108 g). The fruit yield was recorded the highest in PS-1 (25.8 mt/ha). The genotype PS-1 was found more resistant to Fusarium wilt and shoot and fruit borer followed by PPL. In farmers field, the highest marketable fruits per plot were produced from PPL followed by Pusa Kranti and PS-1. Similarly, the highest yield and marketable yield were also recorded in PS-1 followed by Pusa Kranti. The genotypes PS-1 and PPL were superior in terms of yield and resistance to disease and pests. Therefore, they could be promising genotypes for central Terai region of Nepal.
TEACHING MADURA LOCAL CONTENT LITERACY ON PRESERVICE SCIENCE TEACHER USING LWIS MODEL

Several previous studies have shown that students have difficulty integrating ethnoscience into science learning. Students are more likely to be introduced to the basic concepts of ethnoscience without involving how to integrate ethnoscience into science learning. The impact is that students’ scientific literacy is low. This is what underlies researchers to apply the Local Wisdom Integrated Science (LWIS) learning model by using local Madurese content to train students’ scientific literacy. The aim of this study was to evaluate differences in student scientific literacy after implementing the LWIS learning model in ethnoscience learning with local Madurese content. The method used was pre-experimental study with one group pretest-posttest design. When the study was carried out in the even semester of the 2019/2020 academic year by taking 22 students via purposive sampling technique as a sample of all students in class 6A of science education, Trunojoyo University, Madura. Analysis of data using descriptive statistics and paired sample t test. The results showed that there were different in the scientific literacy of the students using the LWIS learning model before and after studying ethnoscience with local Madurese material. The entire LWIS syntax helps train students' scientific literacy by including self-awareness of the importance of local Madurese content as a learning context. Ethnoscience can be integrated into science learning through the STEAM approach. The contribution of STEAM to the LWIS learning model and self-awareness is very significant in developing ethnoscience learning for local Madurese content from elementary, middle, and tertiary level.
Development of a Toolkit for Analyzing Software Debugging Processes Using the Constructive Approach

Constructive-synthesizing modeling and the Process Mining methods in a toolkit to monitor and analyze the software debugging process were applied. Methods for monitoring the development and debugging processes are the basis for improving the level of practical training of students, reducing the time that is used irrationally in the process of software development by a student, and in monitoring the processes of performance of tasks by a teacher. The process of software debugging is seen as a sequence of actions when dealing with relevant tools. Using the methodology of constructive-synthesizing modeling, a constructor for forming a debugging actions log was developed. Based on the constructive model, the extension to the integrated development environment (IDE) Microsoft Visual Studio, in which all debugging actions are recorded in an event log, was designed. During debugging in the IDE, event logs are collected and then a conformance checking of these logs with regard to the reference model is performed. To do this, the ProM (Eindhoven Technical University, Netherlands), a platform for Process Mining methods, is used. By checking compliance, it is possible to compare different debugging processes and recognize behavioral similarities and differences. The main purpose of the developed toolkit is to collect debugging actions from the developer’s IDE. By better understanding how students grasp and deal with errors, one can help novices learn to program. Knowing how programmers debug can encourage researchers to develop more practically directed methods, enable teachers to improve their debugging curricula and allow tool developers to adapt the debugger to the actual needs of users. It is practically suggested to use the prepared tools in the software engineering course
Perillyl Alcohol in Solid Lipid Nanoparticles (SLN-PA): Cytotoxicity and Antitumor Potential in Sarcoma 180 Mice Model

Cancer is a group of diseases characterized by the uncontrolled growth of cells. These cells in-vade organs and tissues by extension or direct dissemination and can spread to other regions of the body. Nanomedicine offers many possibilities to prevent the spread of cancer tissue and help cure the disease. In this work, solid lipid nanoparticles (SLN) were used to encapsulate perillyl alcohol (PA), a volatile monoterpene with proven anticancer activity. Encapsulation of PA into SLN (SLN-PA) is expected to promote controlled release, increase PA bioavailability, and impair the volatility of the monoterpene. SLN-PA prepared by high-shear homogenization showed average particle diameter around 254 nm, polydispersity index ~ 0.35, zeta potential ~ -14.7 mV, and encapsulation efficiency 84.6%. Scanning electron microscope analysis revealed a decrease in crystallinity, suggesting the encapsulation of PA in the SLN, confirming the spherical shape and the loading of the monoterpene in the SLN. In vitro cytotoxicity assays against murine fibroblasts (L929) showed that SLN-PA in both treated doses did not induce any cytotoxicity on non-tumoral cells. In vivo antitumor effect of the SLN-PA was evaluated in sarcoma 180-transplanted mice. The in vivo results demonstrated a significant tumor inhibition rate of 51.76 and 54.49% via intraperitoneal application of SLN-PA at doses of 100 and 200 mg/kg/day (p < 0.05), respective when compared to the nega-tive control (dimethyl sulfoxide). Adverse side effects of SLN-PA were not noticed in the liver, the kidney, or spleen tissue. The developed SLN-PA can be considered as a safe approach for site-specific antitumor effect in vivo, reinterpreting new nanoparticles-based cancer therapy.
Public perceptions on using Virtual Reality and Mobile Apps in Anxiety treatment

New technologies such as virtual reality (VR) and mobile apps are increasingly being developed and trialled therapeutically to help treat anxiety disorders. Despite this increasing market, there is little research on how the public perceive the incorporation of these innovative technologies in anxiety treatment. This study aimed to describe knowledge, awareness and perceptions of VR and mobile apps for the treatment of anxiety. To do this, a survey was disseminated to those aged 18 to 35 with no current or previous mental illness via social media and poster advertisements, and 57 individuals participated. Results demonstrated that most individuals had limited knowledge on the use of VR and mobile apps in mental health, but overall demonstrated positive perceptions and high optimism regarding its potential use. Neither treatment modality was perceived as being as effective as standard treatment; however, participants were willing to use either modality if recommended by a therapist and use both in conjunction with standard treatment. Participants demonstrated a willingness to use a mobile app as a first point of contact. These findings have implications for the way in which these technologies are rolled out to the public.