Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating the unaccounted ones: insights on age-dependent reproductive loss in a viviparous fly

Most empirical and theoretical studies on reproductive senescence focus on observable attributes of offspring produced, such as size or postnatal survival. While harder to study, an important outcome of reproduction for a breeding individual is whether a viable offspring is produced at all. While prenatal mortality can sometimes be directly observed, this can also be indicated through an increase in the interval between offspring production. Both direct reproductive loss and presumed losses have been found to increase in older females across several species. Here, we study such reproductive loss (or “abortion”) in tsetse, a viviparous and relatively long-lived fly with high maternal allocation. We consider how age-dependent patterns of abortion depend on the developmental stage of offspring and find that, as per previous laboratory studies, older females have higher rates of abortion at the late-larval stage, while egg-stage abortions are high both for very young and older females. We track the reproductive output of individual females and find little evidence that experiencing an abortion is an adaptive strategy to improve future reproductive outcomes. After an abortion, females do not generally take less time to produce their next offspring, these offspring are not larger, and there is no sex bias towards females, the sex with presumed higher fitness returns (being slightly larger and longer-lived than males, and with high insemination rates). Abortion rates are higher for breeding females experiencing stress, measured as nutritional deprivation, which echoes previous work in tsetse and other viviparous species, i.e., humans and baboons. We discuss our results in the context of studies on reproductive loss across taxa and argue that this is an important yet often overlooked reproductive trait which can vary with maternal age and can also depend on environmental stressors.
Potential links between brown adipose tissue, circadian dysregulation, and suicide risk

Circadian desynchronizations are associated with psychiatric disorders as well as with higher suicidal risk. Brown adipose tissue (BAT) is important in the regulation of body temperature and contributes to the homeostasis of the metabolic, cardiovascular, skeletal muscle or central nervous system. BAT is under neuronal, hormonal and immune control and secrets batokines: i.e., autocrine, paracrine and endocrine active substances. Moreover, BAT is involved in circadian system. Light, ambient temperature as well as exogen substances interact with BAT. Thus, a dysregulation of BAT can indirectly worsen psychiatric conditions and the risk of suicide, as one of previously suggested explanations for the seasonality of suicide rate. Furthermore, overactivation of BAT is associated with lower body weight and lower level of blood lipids. Reduced body mass index (BMI) or decrease in BMI respectively, as well as lower triglyceride concentrations were found to correlate with higher risk of suicide, however the findings are inconclusive. Hyperactivation or dysregulation of BAT in relation to the circadian system as a possible common factor is discussed. Interestingly, substances with proven efficacy in reducing suicidal risk, like clozapine or lithium, interact with BAT. The effects of clozapine on fat tissue are stronger and might differ qualitatively from other antipsychotics; however, the significance remains unclear. We suggest that BAT is involved in the brain/environment homeostasis and deserves attention from a psychiatric point of view. Better understanding of circadian disruptions and its mechanisms can contribute to personalized diagnostic and therapy as well as better assessment of suicide risk.
Microwave Drying of Soybean at 2.45 GHz

Soybeans were rewetted to selected levels of initial moisture content and then dried in a microwave field under various conditions of microwave power and inlet air condition. An empirical diffusion model, based on the assumption that the surface moisture content is an exponentially decreasing function of the initial free moisture content, fit the data very well. This modelling technique resulted in goodfits to independent data on soybean drying. Tests showed that soybeans may be dried in a microwave field much more rapidly than by convection alone, with no reduction in germination for absorbed power levels below 0.13 W/g.
Parafoil steady turn response to control input

Parafoil vehicles in maneuvering flight differ significantly from other, wconventional", aircraft types in that control input produces turn rate, rather than roll rate, and also in that turning is associated with side-slip or "skidw. The case of a steady turn is analyzed. Expressions for turn response to control input are derived, based on a linearized (constant coefficient) model. Aerodynamic coefficients of a typical parafoil, calculated using a discrete vortex computer program, are tabulated for use in example turn calculations. The program and details of the model geometry are discussed. Examples are calculated, illustrating the effects of scale and wing loading on turn and turn radius. rate
Quantitative Reasoning and the Sine Function: The Case of Zac.

A growing body of literature has identified quantitative and covariational reasoning as critical for secondary and undergraduate student learning, particularly for topics that require students to make sense of relationships between quantities. The present study extends this body of literature by characterizing an undergraduate precalculus student’s progress during a teaching experiment exploring angle measure and trigonometric functions. I illustrate that connecting angle measure to measuring arcs and conceiving the radius as a unit of measure can engender trigonometric meanings that encompass both unit circle and right triangle trigonometry contexts. The student’s progress during the teaching experiment also indicates that a covariation meaning for the sine function supports using the sine function to represent emergent relationships between quantities in novel situations.
Self-tracking and gamification of physical activity: Effects on wellbeing

The use of physical activity trackers and gamification can have wide-ranging benefits, however, their effect on wellbeing has not yet been sufficiently examined in literature. Our study examines whether gamified and non-gamified self-tracking experiences create positive psychological responses that yield enhanced wellbeing. We gathered data on self-reported happiness and life satisfaction before and after a four-week self-tracking experience of physical activity, with and without the use of gamification. We measured the users’ emotional and cognitive responses and parsed out the effect of these psychological outcomes on the users’ subjective wellbeing. We found that users’ perceived usefulness of the experience was associated with an increase in the individuals’ life satisfaction, while enjoyment and interest were linked to an increase in the individuals’ happiness. Both gamified and non-gamified self-tracking experiences evoked similar positive emotional and cognitive responses, yielding similar gains in wellbeing. Future research could explore long-term health and wellbeing impacts.
Influence of the alignment of operators’ preferences on the use of managerial information

This article aimed to evaluate the influence of the alignment of operators’ preferences for aggregating or disaggregating on the use of managerial information. Although studies indicate that accounting information has the potential to support the decision-making process, they also point to its limited use. However, those studies have basically investigated aspects such as information received versus demanded, timeliness, and legal and corporate aspects. There remains the question of whether divergences in preferences regarding the way information is presented, between those who elaborate and those who use it, could also be an explanatory factor. Thus, this study sought to investigate, under the lens of Mental Accounting Theory (MAT), whether there are differences in operators’ preferences that help to explain the low use of accounting information to support the decision-making process. The relevance of this article lies in better understanding the reasons for the low use of accounting information to support the decision-making process, despite its contributive potential, seeking organizational continuity and prosperity. As an impact on the area, this article helps preparers to understand and contemplate users’ demands and preferences, resulting in greater use of information. The aim is for informed decisions to be taken without the influence of opportunisms, randomness, or the bias of whoever prepares the information. A quasi-experiment was operationalized with 1,074 students, 550 of accounting courses (preparers) and 524 of management courses (users) at four (public and private) universities in the south of Brazil. The study involves empirical, quantitative, descriptive, and applied research. For the data analysis, descriptive statistics, logistic regressions, and homogeneity analysis by means of alternating least squares (HOMALS) were used. In most of the scenarios, the operators (preparers and users) presented a preference for disaggregating the information, independently of whether they follow the assumptions of MAT or not. It was observed that the search for informational volume for more assertive decision making predominates over the psychological gains and the value function perceived by the individual. Those who prefer disaggregated information are willing to align/use accounting information for management.
Supplementary Material - Tailoring Visual Object Representations to Human Requirements: A Case Study of a Recycling Robot

Figure 1: Interaction Flow with System Architecture: In our interaction flow, a human selects some items from a given category from a conveyor belt. The system estimates the similarity of each remaining item on the conveyor belt. Finally, the robot selects objects most similar to the human-selected objects and sends a push/pull command to the robot. Each colored zone (and its corresponding number code) shows the system components deployed during different phases of the interaction flow.
JFBM-09-2021-0099_proof 450..467

Purpose – Both Hungary and Germany belong to the old-world wine-producing countries and have long winemaking traditions. This paper aims at exploring and comparing online branding strategies of family SME (small and medium sized enterprises) wineries at Lake Balaton (Hungary) and Lake Constance (Germany), as two wine regions with similar geographic characteristics. Design/methodology/approach – This paper, based on a total sample of 37 family wineries, 15 at Lake Balaton and 22 at Lake Constance, investigates the differences in brand identity on the website, brand image in social media and online communication channels deployed in both wine regions. The study applies a qualitative methodology using MaxQDA software for conducting content analysis of texts in websites and social media. Descriptive statistics and t-test were conducted to compare the usage of different communication channels and determine statistical significance. Findings – At Lake Balaton, the vineyard, the winery and the family, while at Lake Constance, the lake itself and the grape are highlighted regarding family winery brand identity. The customer-based brand image of Hungarian family wineries emphasizes wine, food and service, with the predominant use of Facebook. In the German family wineries, the focus of brand identity is on wine, friendliness and taste and includes more extensive usage of websites. Originality/value –The paper deploys a novelmethodology, both in terms of tools used aswell as geographic focus to uncover online branding patterns of family wineries, thereby providing implications for wine and tourism industries at lake regions. It compares the share of selected most-used words in the overall text in websites and in social media, and presents the key findings from this innovative approach.
On 𝔓-Adic Integral Representations of Finite Groups

It has been shown by Diederichsen [2] that for integral representations of a finite group, the irreducible constituents in any complete reduction are not necessarily unique up to order and unimodular equivalence. In this same article, it is shown that for certain finite groups, such as the cyclic group of order 4, there are infinitely many classes of indecomposable representations under unimodular equivalence.
A new approach to linear filtering and prediction problems" transaction of the asme~journal of basic

A unitary, lightweight outer garment constructed of a thin polyethylene film includes front and rear panels which are joined together forming a medial body member, paired arms which extend outwardly and downwardly from the upper portion of the body member, and a head opening which is located in the upper margin of the body member. The arms and body member are arranged to have unjoined coplanar lower margins and the inner side margin of each arm and the adjacent side margin of the body member lie congruously along a common line. The garment is formed by placing two rectangular sheets of the film, having a width equal to the finished length of the garment, in overlying engagement with one another on a cutting surface, thermally die cutting the sheets into the appropriate shape, and thermally sealing the resulting cut margins to complete the garment.
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning

Commonsense reasoning (CR) has been studied in many pieces of domain and has achieved great progress with the aid of large datasets. Unfortunately, most existing CR datasets are built in English, so most previous work focus on English. Furthermore, as the annotation of commonsense reasoning is costly, it is impossible to build a large dataset for every novel task. Therefore, there are growing appeals for Cross-lingual Low-Resource Commonsense Reasoning, which aims to leverage diverse existed English datasets to help the model adapt to new cross-lingual target datasets with limited labeled data. In this paper, we propose a multi-source adapter for cross-lingual low-resource Commonsense Reasoning (MetaXCR). In this framework, we first extend meta learning by incorporating multiple training datasets to learn a generalized task adapters across different tasks. Then, we further introduce a reinforcement-based sampling strategy to help the model sample the source task that is the most helpful to the target task. Finally, we introduce two types of cross-lingual meta-adaption methods to enhance the performance of models on target languages. Extensive experiments demonstrate MetaXCR is superior over state-of-the-arts, while being trained with fewer parameters than other work.
The Spatial Association between Residents' Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China

: With the increasing trend of residents and tourists sharing urban spaces, the boundary between leisure spaces and tourism spaces is gradually being blurred. However, few studies have quantiﬁed the spatiotemporal correlation patterns of residents’ leisure activities and tourists’ activities. To ﬁll this gap, this paper takes Nanjing as an example to study the temporal and spatial correlation between residents’ leisure activities and tourists’ activities based on mobile phone signal data. First, through kernel density analysis, it is found that there is a spatial overlap between residents’ leisure activities and tourists’ activities. Then, the spatial and temporal correlation patterns of residents’ leisure activities and tourists’ activities are analyzed through the colocation quotient. According to our ﬁndings, (1) residents’ leisure activities and tourists’ activities are not spatially correlated, indicating that they are relatively independent in space both during the week and on weekends. (2) On weekday afternoons, the spatial correlation between residents’ and tourists’ leisure activities is strongest. On weekends, the night is when residents’ leisure activities and tourists’ activities are most closely related. (3) The correlation area is mainly distributed in areas near famous scenic spots, as well as public spaces such as parks and squares. Based on the above analysis, this paper aims to study the resident-tourist interaction in the spatial context to provide directions for improving the attractiveness of cities, urban transportation, services, and marketing strategies.
Tkatchenko-Scheffler van der Waals correction method with and without self-consistent screening applied to solids

The method proposed by Tkatchenko and Scheffler [Phys. Rev. Lett. 102, 073005 (2009)] to correct density functional calculations for the missing van derWaals interactions is implemented in the Vienna ab initio simulation package (VASP) code and tested on a wide range of solids, including noble-gas crystals, molecular crystals (alpha-N-2, sulfur dioxide, benzene, naphthalene, cytosine), layered solids (graphite, hexagonal boron nitride, vanadium pentoxide, MoS2, NbSe2), chain-like structures (selenium, tellurium, cellulose I), ionic crystals (NaCl, KI), and metals (nickel, zinc, cadmium). In addition to the original formulation expressing the van der Waals (vdW) corrections as pairwise potentials whose strength is derived from the rescaled polarizabilities of the neutral free atoms, the self-consistently screened (TS + SCS) [Phys. Rev. Lett. 108, 236402 (2012)] variant of the method involving electrodynamic response effects has been examined. Analytical expressions for the forces acting on the atoms and for the components of the stress tensor needed for the relaxation of the volume and shape of the unit cell using the TS + SCS method are derived. While the calculated structures are reasonably close to experiment, the van der Waals corrections to the binding energies are often found to be overestimated in comparison with experimental data. The TS + SCS approach leads to significantly better results in some problematic cases, such as the binding energy of graphite. However, there is room for further improvements, in particular for strongly ionic systems.
Dietary Supplementation with Rutin Alters Meat Quality, Fatty Acid Profile, Antioxidant Capacity, and Expression Levels of Genes Associated with Lipid Metabolism in Breast Muscle of Qingyuan Partridge Chickens

Consumer demand for tasty and quality meat has been quickly increasing. This study investigated how dietary supplemented rutin affects meat quality, muscle fatty acid profile, and antioxidant capacity in the Chinese indigenous Qingyuan partridge chicken. A cohort of 180 healthy 119-day-old chickens was subjected to a randomized assignment into three groups, identified as the control, R200, and R400 groups, with respective supplementation of 0, 200, and 400 mg/kg of rutin. The results revealed insignificance in growth performance, namely, average daily gain, average daily feed intake, and feed-to-gain ratio, across the various treatment groups (p > 0.05). Nevertheless, dietary rutin supplementation increased (p < 0.05) breast muscle yield and intramuscular fat content in breast muscle and decreased (p < 0.05) drip loss in breast muscle. Rutin supplementation increased (p < 0.05) the content of high-density lipoprotein but decreased (p < 0.05) the contents of glucose, triglyceride, and total cholesterol in serum. Rutin supplementation increased (p < 0.05) the levels of DHA (C22:6n-3), total polyunsaturated fatty acids (PUFAs), n-3 PUFAs, decanoic acid (C10:0), the activity of Δ5 + Δ6 (22:6 (n − 3)/18:3 (n − 3)), and the ratio of PUFA/SFA in breast muscle but decreased (p < 0.05) the level of palmitoleic acid (C16:1n-7), the ratio of n-6/n-3 PUFAs, and the activity of Δ9 (16:1 (n − 7)/16:0). Rutin treatment also reduced (p < 0.05) the contents of malondialdehyde in serum and breast muscle, and increased (p < 0.05) the catalase activity and total antioxidant capacity in serum and breast muscle and the activity of total superoxide dismutase in serum. Additionally, rutin supplementation downregulated the expression of AMPKα and upregulated the expression of PPARG, FADS1, FAS, ELOVL7, NRF2, and CAT in breast muscle (p < 0.05). Convincingly, the results revealed that rutin supplementation improved meat quality, fatty acid profiles, especially n-3 PUFAs, and the antioxidant capacity of Qingyuan partridge chickens.
JRIT-12-2020-0095_proof 132..146

Purpose – This study evaluates the mediating role of social media entertainment on social information (content) and social media performance, during the COVID-19 era. Design/methodology/approach – Primary data were randomly gathered from 373 students from two top universities (public and private) in Ghana, a sub-Saharan African economy. Data analysis was achieved utilizing the partial least square–structural equation model (PLS-SEM). Findings – Social media (SM) entertainment partly mediates the link between social media content and social media performance of students, suggesting that social media entertainment is almost indispensable in creating social media content to achieve optimum performance among tertiary students. Research limitations/implications – The use of cross-sectional data alone for this study does not give us the opportunity to observe the social media activities of respondents over a longer period. Future studies could, therefore, include longitudinal data. Practical implications – The findings in this study suggest that faculties can modify their pedagogical activities to include social media and reflect some entertainment content, since it has an influence on student performance within the social media space. Social implications – SM has a great influence on students’ performance socially and academically; therefore, educational stakeholders like university authorities, faculties, parents and guardians, and the government should consider social media as a tool for attaining educational goals. Originality/value – The study extends the use of UTAUT2, in understanding students’ learning and behavior processes, by linking antecedents of adoption to the post-adoption effect.
How do Albanian Biology Student-Teachers make use of ICT during their master studies?

With the development of information and communication technologies (ICT) and the increasing of online teaching materials, ICT is becoming an essential aspect of teachers’ education and competencies. This paper aims to investigate how and why Albanian biology student-teachers use ICT during their master studies. The study method involved a survey (n = 56) of second-year biology student-teachers studying at the Faculty of Natural Sciences in two consecutive academic years, 2021-2022 and 2022-2023. The survey explored several topics, including general characteristics (age, gender, academic performance), access to digital equipment, digital competence, and the use of ICTs during studies. Our results show that students have low access to digital equipment. Students with high and average academic performance spent more time using ICT for study purposes than those with low academic performance (p<0.05). More than 90% of students emphasize that access to digital equipment and training is crucial to help them integrate ICT in their classes as teachers.
Neural Discovery of Permutation Subgroups

We consider the problem of discovering subgroup $H$ of permutation group $S_{n}$. Unlike the traditional $H$-invariant networks wherein $H$ is assumed to be known, we present a method to discover the underlying subgroup, given that it satisfies certain conditions. Our results show that one could discover any subgroup of type $S_{k} (k \leq n)$ by learning an $S_{n}$-invariant function and a linear transformation. We also prove similar results for cyclic and dihedral subgroups. Finally, we provide a general theorem that can be extended to discover other subgroups of $S_{n}$. We also demonstrate the applicability of our results through numerical experiments on image-digit sum and symmetric polynomial regression tasks.