Miracle-dz/UniFAR-FTUs huggingface dataset:
FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition

Efficient and accurate BRDF acquisition of real world materials is a challenging research problem that requires sampling millions of incident light and viewing directions. To accelerate the acquisition process, one needs to find a minimal set of sampling directions such that the recovery of the full BRDF is accurate and robust given such samples. In this paper, we formulate BRDF acquisition as a compressed sensing problem, where the sensing operator is one that performs sub-sampling of the BRDF signal according to a set of optimal sample directions. To solve this problem, we propose the Fast and Robust Optimal Sampling Technique (FROST) for designing a provably optimal sub-sampling operator that places light-view samples such that the recovery error is minimized. FROST casts the problem of designing an optimal sub-sampling operator for compressed sensing into a sparse representation formulation under the Multiple Measurement Vector (MMV) signal model. The proposed reformulation is exact, i.e. without any approximations, hence it converts an intractable combinatorial problem into one that can be solved with standard optimization techniques. As a result, FROST is accompanied by strong theoretical guarantees from the field of compressed sensing. We perform a thorough analysis of FROST-BRDF using a 10-fold cross-validation with publicly available BRDF datasets and show significant advantages compared to the state-of-the-art with respect to reconstruction quality. Finally, FROST is simple, both conceptually and in terms of implementation, it produces consistent results at each run, and it is at least two orders of magnitude faster than the prior art.
Fixed-parameter debordering of Waring rank

Border complexity measures are defined via limits (or topological closures), so that any function which can approximated arbitrarily closely by low complexity functions itself has low border complexity. Debordering is the task of proving an upper bound on some non-border complexity measure in terms of a border complexity measure, thus getting rid of limits. Debordering is at the heart of understanding the difference between Valiant's determinant vs permanent conjecture, and Mulmuley and Sohoni's variation which uses border determinantal complexity. The debordering of matrix multiplication tensors by Bini played a pivotal role in the development of efficient matrix multiplication algorithms. Consequently, debordering finds applications in both establishing computational complexity lower bounds and facilitating algorithm design. Currently, very few debordering results are known. In this work, we study the question of debordering the border Waring rank of polynomials. Waring and border Waring rank are very well studied measures in the context of invariant theory, algebraic geometry, and matrix multiplication algorithms. For the first time, we obtain a Waring rank upper bound that is exponential in the border Waring rank and only linear in the degree. All previous known results were exponential in the degree. For polynomials with constant border Waring rank, our results imply an upper bound on the Waring rank linear in degree, which previously was only known for polynomials with border Waring rank at most 5.
Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection

Software, while beneficial, poses potential cybersecurity risks due to inherent vulnerabilities. Detecting these vulnerabilities is crucial, and deep learning has shown promise as an effective tool for this task due to its ability to perform well without extensive feature engineering. However, a challenge in deploying deep learning for vulnerability detection is the limited availability of training data. Recent research highlights the deep learning efficacy in diverse tasks. This success is attributed to instruction fine-tuning, a technique that remains under-explored in the context of vulnerability detection. This paper investigates the capability of models, specifically a recent language model, to generalize beyond the programming languages used in their training data. It also examines the role of natural language instructions in enhancing this generalization. Our study evaluates the model performance on a real-world dataset to predict vulnerable code. We present key insights and lessons learned, contributing to understanding the deep learning application in software vulnerability detection.
City Scene Super-Resolution via Geometric Error Minimization

Super-resolution techniques are crucial in improving image granularity, particularly in complex urban scenes, where preserving geometric structures is vital for data-informed cultural heritage applications. In this paper, we propose a city scene super-resolution method via geometric error minimization. The geometric-consistent mechanism leverages the Hough Transform to extract regular geometric features in city scenes, enabling the computation of geometric errors between low-resolution and high-resolution images. By minimizing mixed mean square error and geometric align error during the super-resolution process, the proposed method efficiently restores details and geometric regularities. Extensive validations on the SET14, BSD300, Cityscapes and GSV-Cities datasets demonstrate that the proposed method outperforms existing state-of-the-art methods, especially in urban scenes.
Marital “Mismatch” from Changes in Women’s Litigant Rights

This paper examines the effect of a change in a legal regime to reinstate the adjudication of criminal matters to Islamic courts and documents the effect of the change on the marital matches of women. This change reduces the litigant rights of women in cases of illicit sexual behavior and extramarital relations. Combining three rounds of a nationally representative survey in Nigeria, I show that a woman affected by the legal reform is 29.2 percentage points more likely to be married to a man who earns less than she does and significantly more likely to be married to an older man. Regarding the educational attainment of the spouse, I show that an affected woman is 21.5 percentage points less likely to be married to a spouse who has higher educational attainment. Finally, a woman affected by the reform enforcement is 7.6 percentage points less likely to report that she is involved in any four intrahousehold decisions and less likely to be involved in decision-making about spending her spouse’s earnings. Some of these effects are seen only in nonmatrilineal communities, and changes in the woman’s attitude toward male dominance and outside marriage utility are other channels of effect.
Seeking temporal refugia to heat stress: increasing nocturnal activity despite predation risk

Flexibility in activity timing may enable organisms to quickly adapt to environmental changes. Under global warming, diurnally adapted endotherms may achieve a better energy balance by shifting their activity towards cooler nocturnal hours. However, this shift may expose animals to new or increased environmental challenges (e.g. increased predation risk, reduced foraging efficiency). We analysed a large dataset of activity data from 47 ibex (Capra ibex) in two protected areas, characterized by varying levels of predation risk (presence versus absence of the wolf—Canis lupus). We found that ibex increased nocturnal activity following warmer days and during brighter nights. Despite the considerable sexual dimorphism typical of this species and the consequent different predation-risk perception, males and females demonstrated consistent responses to heat in both predator-present and predator-absent areas. This supports the hypothesis that shifting activity towards nighttime may be a common strategy adopted by diurnal endotherms in response to global warming. As nowadays different pressures are pushing mammals towards nocturnality, our findings emphasize the urgent need to integrate knowledge of temporal behavioural modifications into management and conservation planning.
Climate change is associated with asynchrony in arrival between two sympatric cuckoos and both host arrival and prey emergence

Matching the timing of spring arrival to the breeding grounds with hosts and prey is crucial for migratory brood parasites such as cuckoos. Previous studies have focused mostly on phenological mismatch between a single cuckoo species and its hosts but information regarding climate-driven mismatch between multiple sympatric cuckoo species and their hosts and invertebrate prey is still lacking. Here, we analysed long-term data (1988–2023) on the first arrival date of two declining migratory cuckoo species and their 14 migratory host species breeding in sympatry and prey emergence date in Tatarstan (southeast Russia). We found that the common cuckoo (Cuculus canorus; wintering in Africa) generally arrived on breeding grounds earlier than the oriental cuckoo (Cuculus optatus; wintering in southeast Asia and Australia). Both cuckoos have advanced their arrival dates over 36 years but less than their hosts, potentially resulting in an increasing arrival mismatch between cuckoos and their hosts. Moreover, cuckoo arrival advanced less than the emergence date of their prey over time. These observations indicate that climate change may disrupt co-fluctuation in the phenology of important life stages between multiple sympatric brood parasites, their hosts and prey with potential cascading consequences for population dynamics of involved species.
Active self-touch restores bodily proprioceptive spatial awareness following disruption by ‘rubber hand illusion'

Bodily self-awareness relies on a constant integration of visual, tactile, proprioceptive, and motor signals. In the ‘rubber hand illusion' (RHI), conflicting visuo-tactile stimuli lead to changes in self-awareness. It remains unclear whether other, somatic signals could compensate for the alterations in self-awareness caused by visual information about the body. Here, we used the RHI in combination with robot-mediated self-touch to systematically investigate the role of tactile, proprioceptive and motor signals in maintaining and restoring bodily self-awareness. Participants moved the handle of a leader robot with their right hand and simultaneously received corresponding tactile feedback on their left hand from a follower robot. This self-touch stimulation was performed either before or after the induction of a classical RHI. Across three experiments, active self-touch delivered after—but not before—the RHI, significantly reduced the proprioceptive drift caused by RHI, supporting a restorative role of active self-touch on bodily self-awareness. The effect was not present during involuntary self-touch. Unimodal control conditions confirmed that both tactile and motor components of self-touch were necessary to restore bodily self-awareness. We hypothesize that active self-touch transiently boosts the precision of proprioceptive representation of the touched body part, thus counteracting the visual capture effects that underlie the RHI.
Association of Mild Iodine Insufficiency during Pregnancy with Child Neurodevelopment in Patients with Subclinical Hypothyroidism or Hypothyroxinemia

Abstract Objective Our objective was to evaluate whether iodine status in pregnant patients with either subclinical hypothyroidism or hypothyroxinemia in the first half of pregnancy is associated with measures of behavior and neurodevelopment in children through the age of 5 years. Study Design This is a secondary analysis of a multicenter study consisting of two randomized, double-masked, placebo-controlled treatment trials conducted in parallel. Patients with a singleton gestation before 20 weeks' gestation underwent thyroid screening using serum thyrotropin and free thyroxine. Participants with subclinical hypothyroidism or hypothyroxinemia were randomized to levothyroxine replacement or an identical placebo. At randomization, maternal urine was collected and stored for subsequent urinary iodine excretion analysis. Urinary iodine concentrations greater than 150 μg/L were considered iodine sufficient, and concentrations of 150 μg/L or less were considered iodine insufficient. The primary outcome was a full-scale intelligence quotient (IQ) score at the age of 5 years, the general conceptual ability score from the Differential Ability Scales-II at the age of 3 if IQ was not available, or death before 3 years. Results A total of 677 pregnant participants with subclinical hypothyroidism and 526 with hypothyroxinemia were randomized. The primary outcome was available in 1,133 (94%) of children. Overall, 684 (60%) of mothers were found to have urinary iodine concentrations >150 μg/L. Children of iodine-sufficient participants with subclinical hypothyroidism had similar primary outcome scores when compared to children of iodine-insufficient participants (95 [84–105] vs. 96 [87–109], P adj = 0.73). After adjustment, there was also no difference in IQ scores among children of participants with hypothyroxinemia at 5 to 7 years of age (94 [85 – 102] and 91 [81 – 100], P adj 1/4 0.11). Treatment with levothyroxine was not associated with neurodevelopmental or behavioral outcomes regardless of maternal iodine status ( p > 0.05). Conclusion Maternal urinary iodine concentrations ≤150 μg/L were not associated with abnormal cognitive or behavioral outcomes in offspring of participants with either subclinical hypothyroidism or hypothyroxinemia. Key Points Most pregnant patients with subclinical thyroid disease are iodine sufficient. Mild maternal iodine insufficiency is not associated with lower offspring IQ at 5 years. Iodine supplementation in subclinical thyroid disease is unlikely to improve IQ.
Healthcare professionals’ perceptions and experiences of obesity and overweight and its management in primary care settings: a qualitative systematic review

Abstract Aim: This qualitative systematic review aimed to synthesise existing qualitative research on HCPs’ perceptions and experiences of obesity and its management in primary care settings. Background: Healthcare professionals (HCPs), particularly those in primary care, play a key role in policy implementation around weight management. Overweight and obese individuals are subject to weight stigma which has negative health consequences and reduces the likelihood of healthcare service usage. An understanding of HCPs’ perceptions of obesity and weight management in primary care is necessary for the development and delivery of effective initiatives. Methods: A search strategy developed using the SPIDER framework was applied to Medline and CINAHL databases. Inclusion criteria were applied, and quality assessment was undertaken using the CASP framework. Fifteen papers meeting the inclusion criteria were analysed thematically. Findings: Four themes were identified: conflicting discourses surrounding obesity, medicalisation of obesity, organisational factors, and lack of patient knowledge and motivation. Conflicting discourses around obesity refers to the differing views of HCPs regarding what it means to have and treat obesity. Medicalisation of obesity considers whether obesity should be treated as a medical condition. Organisational factors were identified as knowledge, resources and time that affected HCPs’ ability to provide care to overweight or obese. Finally, the review discovered that patients required their own knowledge and motivation to lose weight. This review has highlighted the need to provide safe, non-judgemental spaces for HCPs and patients to discuss weight and weight loss. This is essential to the therapeutic relationship and the provision of effective obesity management.
Specialized Inpatient Unit for Adults with Co-Morbid Mental Illness, Intellectual Disability, and Challenging Behavior

Individuals with intellectual disability (ID) often experience barriers accessing appropriate and effective healthcare. Our specialty program was established to provide interdisciplinary services across the continuum of care to patients with ID, co-morbid mental illness, and challenging behaviors by identifying the etiology of challenging behaviors and creating a comprehensive plan for treatment. We describe the structure of our inpatient specialty unit and a retrospective chart review completed to evaluate the combined impact on the prevalence of challenging behaviors as measured by the Aberrant Behaviors Checklist (ABC) and polypharmacy. Fifty-five patients were evaluated before and one month following 72 corresponding hospitalizations. Mean ABC scores improved from 69.5 to 54.7 (p=.02) with decreases in subscales for irritability, lethargy, hyperactivity, and inappropriate speech but not stereotypy. Total psychotropic medication use was reduced from a mean of 4.9 to 3.8 medications (p<.001). Our specialized interdisciplinary treatment approach appears to benefit many patients with complex needs.
Putting the ‘Community’ in Community-Based Human Service Funding: Recruitment, Motivation, and Role Negotiation of Granting Committees

We explore how funding decisions are made when giving grants to human services organizations that include mental and physical health. Community engagement in the decision-making processes is expected to yield many benefits, including a deeper understanding of community problems, a better sense of grantee needs and challenges, and greater effectiveness. This qualitative study examines the experiences of 20 community grantmakers and 5 grantmaking staff in six Washington State human service funders. Findings suggest challenges with achieving the goals of more participatory grantmaking, stemming mainly from recruitment processes, grantmaker motivations, and sensitivity to staff roles.
Urban greenspace aerobiomes are shaped by soil conditions and land cover type

Growing evidence suggests that exposure to microbial biodiversity is important for human immunoregulation and health. Urban greenspaces harbour airborne bacterial communities (aerobiomes) with the potential to transfer beneficial bacteria to humans. However, limited studies have examined the ecological influences of soil, vegetation, and rainfall on aerobiomes in urban greenspaces. Here, we utilised 16S rRNA amplicon sequence data to analyse the effects of land cover, soil abiotic characteristics, surrounding vegetation diversity, and rainfall on aerobiome diversity and composition from 33 urban greenspace sites in Adelaide, South Australia. We sampled air and soil from two urban greenspace land cover types: highly-managed sports fields (n = 11) and minimally-managed nature parks (n = 22). Sports field aerobiomes had a distinct aerobiome community composition and higher alpha diversity than nature parks. Aerobiome alpha diversity was shaped more by soil abiotic characteristics, particularly soil pH and iron levels, than woody plant species diversity. Rainfall prior to sampling also had strong effects on the aerobiome community composition and associated with decreased alpha diversity. These findings point toward soil iron and pH management as pathways to increase aerobiome bacterial diversity. Our study shows that, with additional research, there is potential for greenspace managers and urban planners to target specific soil abiotic characteristics in urban greenspaces to improve microbiome-mediated urban health.
The impact of kinship composition on social structure

The relatedness between group members is a potential driver of variation in social structure. Relatedness predicts biases in partner choice and formation of strong relationships among group members. As such, groups that differ in their percentage of non-kin dyads, i.e., in their kinship composition, should therefore differ in the structure of their social networks. Yet the relationship between kinship composition and social structure remains unclear. Here, we used long-term social and pedigree data from a population of rhesus macaques to investigate the relationship between kinship composition and the connectivity, cohesion, potential for transmission and social differentiation of the social networks of adult female macaques. We found no evidence that the social structure of groups composed of greater proportion of unrelated females differ from that of groups with a lower proportion of non-kin. To investigate this unexpected finding, we built agent-based models parameterised with the empirical data to further explore (1) the expected relationship between kinship composition and social structure and (2) why we did not find such a relationship in the empirical data. Agent-based models showed that kinship composition can influence social structure in populations similar to the one studied, but that this effect may only be detectable with a sample size even larger than ours (19 group-years) and with greater variance in kinship composition (proportion of non-kin varied between 0.830-0.922 in the empirical data). The relationship between kinship composition and social structure might be more apparent when comparing data from species that differ strongly in their social organisation, translating into marked differences in kinship composition. This further emphasises the importance of reporting existing and future kinship composition data to deepen our understanding of the evolution of sociality and highlights the potential of agent-based models to better understand empirical results.
Neuronal subtypes and connectivity of the adult mouse paralaminar amygdala

The paralaminar nucleus of the amygdala (PL) is comprised of neurons which exhibit delayed maturation. PL neurons are born during gestation but mature during adolescent ages, differentiating into excitatory neurons. The PL is prominent in the adult amygdala, contributing to its increased neuron number and relative size compared to childhood. However, the function of the PL is unknown, as the region has only recently begun to be characterized in detail. In this study, we investigated key defining features of the adult PL; the intrinsic morpho-electric properties of its neurons, and its input and output connectivity. We identify two subtypes of excitatory neurons in the PL based on unsupervised clustering of electrophysiological properties. These subtypes are defined by differential action potential firing properties and dendritic architecture, suggesting divergent functional roles. We further uncover major axonal inputs to the adult PL from the main olfactory network and basolateral amygdala. We also find that axonal outputs from the PL project reciprocally to major inputs, and to diverse targets including the amygdala, frontal cortex, hippocampus, hypothalamus, and brainstem. Thus, the adult PL is centrally placed to play a major role in the integration of olfactory sensory information, likely coordinating affective and autonomic behavioral responses to salient odor stimuli. Significance Statement Mammalian amygdala development includes a growth period from childhood to adulthood, believed to support emotional and social learning. This amygdala growth is partly due to the maturation of neurons during adolescence in the paralaminar amygdala. However, the functional properties of these neurons are unknown. In our recent studies, we characterized the paralaminar amygdala in the mouse. Here, we investigate the properties of the adult PL in the mouse, revealing the existence of two neuronal subtypes that may play distinct functional roles in the adult brain. We further reveal the brain-wide input and output connectivity of the PL, indicating that the PL combines olfactory cues for emotional processing and delivers information to regions associated with reward and autonomic states.