Miracle-dz/UniFAR-FTUs huggingface dataset:
Ethical decision making

The self-centeredness of modern organizations leads to environmental destruction and human deprivation. The principle of responsibility developed by Hans Jonas requires caring for the beings affected by our decisions and actions. Ethical decision-making creates a synthesis of reverence for ethical norms, rationality in goal achievement, and respect for the stakeholders. The maximin rule selects the "least worst alternative" in the multidimensional decision space of deontological, goal-achievement and stakeholder values. The ethical decision-maker can be characterized as having the ability to take multiple perspectives and make appropriate balance across diverse value dimensions. Modern organizations should develop a critical sensitivity to and empathy toward human and non-human beings with which they share a common environment.
Palomas (Columbidae), pájaros carpinteros (Picidae) y colibríes (Trochilidae) como indicadores de sucesión en la selva baja de Dzilam, Yucatán, México

A pesar de que recientemente las selvas secundarias han aumentado su superficie mundial a costa de las primarias, el valor de las primeras para conservar la vida silvestre no esta completamente entendido. En las selvas de Yucatan extensas zonas agropecuarias han sido abandonadas debido a la migracion de los productores a las grandes ciudades, lo que ha permitido la regeneracion de la vegetacion. Esto representa una invaluable oportunidad para describir su efecto en poblaciones de aves con diferentes requerimientos ecologicos, en especial, en el area de influencia de una reserva natural. En este trabajo evaluamos las abundancias de tres familias de aves, dos que pueden ser consideradas indicadoras de la integridad de las selvas (Picidae y Trochilidae) y una como indicadora de antropizacion (Columbidae) en tierras agropecuarias abandonadas en la selva baja de Yucatan. Muestreamos a las aves durante 12 meses en parcelas agropecuarias con diferentes periodos de abandono: 1) 2 anos o menos, 2) entre 2 y 5 anos, 3) entre 5 y 10 anos, y 4) mas de 10 anos. Todos los muestreos los realizamos con redes de niebla, en total fueron 1,440 horas/red por sitio. La abundancia de picidos y troquilidos fue mayor en sitios con mas de 10 anos de abandono, mientras que los columbidos abundaron en los sitios de menos de 2 anos. Sugerimos que la cantidad de picidos y troquilidos puede funcionar como indicador de integridad del ecosistema, en tanto que la de los columbidos como indicador de sitios recientemente perturbados.
Hierarchical Recursive Search across 3D-Scene Graphs Utilizing Multi-Resolution Bernstein Curves

— 3D Dynamic Scene Graphs (DSG) have emerged as a powerful new method of representing an environment in a hierarchical fashion. A DSG is a layered representation where nodes represent physical entities and edges represent relations between entities. Recent strides have been made in real time localization and mapping of a DSG, however, little research has been conducted on planning across DSGs. This paper proposes a recursive planning methodology for DSGs. Planning is conducted at the coarsest resolution and the results of the course resolution search are improved by results determined recursively from the finest resolution. This paper also proposes a fine resolution planner that utilizes the derivation of Bezier Curves and multi-resolution format to reduce time required to perform motion planning.
NDnano Summer Undergraduate Research 2023 Project Summary

The Raman spectra of both nanoparticles under green laser excitation was similar to the literature. Reactant concentration affected Raman peak position. PL spectra showed Cr 3+ dopant in both undoped samples, and a possible association between concentration and crystal structure was identified. We studied the PL spectra of ZALO:Mn 2+ and ZGO:Mn 2+ . Weak green luminescence at 510 nm was observed, and a vast PL emission peak at the infrared range was found only in the basic samples. Further characterizations using Raman, XRD, EPR, and PL spectra are necessary to understand possible defects and differences in crystal structure and field strength. Other dopants, such as Nickel, in ZGO and ZALO nanoparticles will also be studied for the best result.
On Orthogonal Circulant MDS Matrices

In 2019, Cauchois and Loidreau gave a necessary and suﬃcient condition for the existence of circulant MDS matrices over a ﬁeld of given characteristic. In this paper, we prove the non-existence of certain orthogonal circulant MDS matrices. Then we give a necessary and suﬃcient condition for orthogonal θ -circulant matrices using q - polynomial rings. We also discuss orthogonal circulant MDS matrices over Galois rings.
concentra-Components of the covariances between reproductive performance traits and milk protein concentration and milk yield in dairy cows

Reproductive performance in dairy cows can be improved through genetic selection and herd management. Milk protein concentration is strongly associated with various measures of reproductive performance, but the relative importance of genetic and environmental components of these associations have not been defined. The primary objective of this study was to estimate the magnitudes of correlations and covariances between 9 reproductive performance traits in dairy cows and each of milk protein concentration and milk yield at 4 levels: genetic, permanent environmental effects of cow, herd-year-season, and residual levels. A retrospective single cohort study was conducted using data collected from seasonally and split calving dairy herds. We used animal models to partition covariances for the relationships between 9 fertility traits and each of milk protein concentration and milk yield at lactation level, with up to 80,203 lactations from 27,244 cows that were 780 herd-year-seasons in 65 herds. For the fertility traits, of the explained covariance with milk protein concentration, between 33 and 79% (median 53%) was genetic and 21 to 67% (median 47%) was nongenetic. We concluded that research should be conducted to identify management strategies that capture the nonge-netic components of relationships between milk protein concentration and reproductive performance. Genetic correlations with milk protein concentration were generally similar to genetic correlations with milk yield, but the correlation with milk protein concentration was closer (i.e., the absolute value of the correlation coefficient was nearer to 1) for pregnant by wk 6, a key trait for seasonally and split calving dairy herds (correlation coefficient ± standard error = 0.28 ± 0.05 and −0.17 ± 0.07 for milk protein concentration and milk yield, respectively). As the associations also have substantial genetic components, it is possible that reliabilities
What is Wrong with Bayes Nets

Probability is a guide to life partly because it is a guide to causality. Work over the last two decades using Bayes nets supposes that probability is a very sure guide to causality. I think not, and I shall argue that here. Almost all the objections I list are well-known. But I have come to see them in a different light by reflecting again on the original work in this area by Wolfgang Spohn and his recent defense of it in a paper titled "Bayesian Nets Are All There Is to Causality". [1]
Evolved Urban Form to Respond to Extreme Sea Level Events in Coastal Cities

Along with climate change and global warming, ESLEs (extreme sea level events) are seriously threatening coastal cities’ development. In order to respond to such events, transformational adaptation strategy in urban planning might play an important role. For instance, it has been proposed that BCR (building coverage ratio) should be minimized to a certain range in order to enhance coastal areas’ resiliency. For the purpose of urban planning practices, the main objective of this research is to develop a method which could formulate the proper BCR range in vulnerable coastal areas. The research is conducted through simulating storm surge floods in simplified waterfront settlements with different BCRs. Data representing the impact of ESLEs collected through CFD (computational fluid dynamic) simulations has been examined. This research has proved that in dense coastal areas, ESLEs may cause serious damage to the built environment if their protective structures fail. It showed that controlling BCR is an effective way to enhance their resiliency. When the BCR is low, the pressure caused by storm surge floods and wave height can be greatly reduced. However, decreased BCR may also reduce land utilization efficiency. Simulation results indicated that controlling the BCR to around 36% might be the most effective scenario which balances resiliency and land use efficiency. They also showed that under the same storm surge flood scenario, the pressures caused by flood waves could be reduced if the length of the building is increased. This study might be considered as transformational adaptation measures that contributes some knowledge for waterfront development in vulnerable locations, and it also provides scientific and useful proof for sustainable strategies in coastal cities and reveals that particular urban design tools, such as BCR control, could play an essential role in responding to ESLEs.
Evaluating Deep Learning Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus

The current UMLS (Uniﬁed Medical Language System) Metathesaurus construction process for integrating over 200 biomedical source vocabularies is expensive and error-prone as it relies on the lexical algorithms and human editors for deciding if the two biomedical terms are synonymous. Recent work has aimed to improve the Metathesaurus construction process using a deep learning approach with a Siamese Network initialized with BioWordVec embeddings for predicting synonymy among biomedical terms. Recent advances in Natural Language Processing, such as Transformer models, and Graph Neural Networks (GNN), such as Graph Attention Networks (GAT), have achieved state-of-the-art (SOTA) on different downstream tasks. Therefore, these techniques are therefore logical candidates for a synonymy prediction task as well. In this paper, we evaluate different approaches of employing biomedical BERT-based Transformer models and Graph Attention Networks for synonymy prediction. We employ BERT models in two model architectures: (1) Siamese Network, and (2) Transformer for predicting synonymy in the UMLS Metathesaurus. We aim to validate if using the BERT models or GNNs can actually outperform the existing approaches for synonymy prediction. In the existing Siamese Networks with LSTM and BioWordVec embeddings, we replace the BioWordVec embeddings with the biomedical BERT embeddings extracted from each BERT model using different ways of extraction. For the Transformer architecture, we evaluate the use of the different biomedical BERT models that have been pre-trained using different datasets and tasks. For the GNN architecture, we formulate synonymy prediction as a link prediction task use a graph neural network (GNN) with a graph attention layer to predict if two terms are synonymous in the UMLS Metatharsus. Given the SOTA performance of these BERT models for other downstream tasks, our experiments yield surprisingly interesting results: (1) employing these biomedical BERT-based models do not outperform the existing approaches us-ing Siamese Network with BioWordVec embeddings for the UMLS synonymy prediction task, (2) the original BioBERT large model that has not been pre-trained with the UMLS outperforms the SapBERT models that have been pre-trained with the UMLS, and (3) using the Siamese Networks yields
Efficacy and Acceptability of Intermittent Aerobic Exercise on Polysomnography-Measured Sleep in People With Rheumatoid Arthritis With Self-Reported Sleep Disturbance A Randomized Controlled Trial

Objective. This study ’ s objective was to investigate the ef ﬁ cacy and acceptability of intermittent aerobic exercise training on sleep parameters, fatigue, pain, depressive symptoms, physical function, and cardiorespiratory ﬁ tness in people with rheumatoid arthritis (RA). Methods. Thirty-eight people with RA were assigned to intermittent aerobic exercise training (three sessions/ week for 6 weeks; intervention group, n = 17) or usual care (control group, n = 21). The primary outcome was a change in polysomnography-assessed sleep ef ﬁ ciency from baseline to the end of the intervention. Secondary outcomes were sleep quality (Pittsburgh Sleep Quality Index), fatigue (Bristol Rheumatoid Arthritis Fatigue Multi-Dimensional Questionnaire), depression (Center for Epidemiological Studies-Depression), and cardiorespiratory ﬁ tness (watt max test). Results. No between-group differences were found in changes in polysomnography-assessed sleep ef ﬁ ciency (0.04; 95% con ﬁ dence interval [CI]: − 0.02 to 0.09, P = 0.17). In the intervention group, sleep ef ﬁ ciency was improved signi ﬁ cantly from baseline (0.84; 95% CI: 0.80-0.88) compared with the end of the intervention (6 weeks) (0.88; 95% CI: 0.85-0.92); however, there was no signi ﬁ cant difference in the control group. Fatigue and depression measures were signi ﬁ cantly lower in the intervention group than in the control group. Between-group differences were overall fatigue ( − 16.1; 95% CI: − 25.1 to − 7.0, P = 0.001), physical fatigue ( − 5.0; 95% CI: − 7.3 to − 2.7, P = 0.0001), cognitive fatigue ( − 2.4; 95% CI: − 4.2 to 0.6, P = 0.009), living with fatigue ( − 2.5; 95% CI: − 4.5 to − 0.5, P = 0.01), and depressive symptoms ( − 6.8; 95% CI: − 12.4 to − 1.1, P = 0.02).
de-Influence of hydrodynamic cavitation on the rheological properties and microstructure of formulated Greek-style yogurts

With limited applications of acid whey generated during the manufacture of Greek yogurts, an alternate processing technology to sidestep the dewheying process was developed. Milk protein concentrate (MPC) and carbon dioxide-treated milk protein concentrate (TMPC) were used as sources of protein to fortify skim milk to 9% (wt/wt) protein for the manufacture of Greek-style yogurts (GSY). The GSY bases were inoculated and fermented with frozen direct vat set yogurt culture to a pH of 4.6. Owing to the difference in buffering of MPC and TMPC, GSY with TMPC and MPC exhibited different acidification kinetics, with GSY containing TMPC having a lower fermentation time. The GSY with TMPC had a titratable acidity of 1.45% lactic acid and was comparable to acidity of commercial Greek yogurt (CGY). Hydrodynamic cavitation at 4 different rotor speeds (0, 15, 30, and 60 Hz) as a postfermentation tool reduced the consistency coefficient (K) of GSY containing TMPC from 79.4 Pa·s n at 0 Hz to 17.59 Pa·s n at 60 Hz. Similarly for GSY containing MPC, K values decreased from 165.74 Pa·s n at 0 Hz to 53.04 Pa·s n at 60 Hz. The apparent viscosity ( (cid:1702) 100 ) was 0.25 Pa·s for GSY containing TMPC and 0.66 Pa·s for GSY containing MPC at 60 Hz. The CGY had a (cid:1702) 100 value of 0.74 Pa·s. Small amplitude rheological analysis performed on GSY indicated a loss of elastic modulus dependency on frequency caused by the breakdown of protein interactions with increasing cavi-tator rotor speeds. A steady decrease in hardness and adhesiveness values of GSY was observed with increasing cavitational intensities. Numbers of grains with a perimeter of >1 mm of cavitated GSY with TMPC and MPC were 35 and 13 grains/g of yogurt, respectively, and were lower than 293 grains/g observed in CGY. The water-holding capacity of GSY was higher than that observed for a commercial strained Greek yogurt. The ability to scale up the process of hydrodynamic cavitation industrially, and the ease of controlling events of cavitation that can influence final textural properties of the product, make this technology promising for large-scale industrial application. Overall, the current set of experiments employed in the manufacture of GSY, which included the use of TMPC as a protein source in conjunction with hydrodynamic cavitation, could help achieve comparable titratable acidity values, rheological properties, and microstructure to that of a commercial strained Greek yogurt.
Schwager-Comparison of maintenance energy requirement and energetic efficiency between lactating Holstein-Friesian and other groups of dairy cows

The objectives of the present study were to investigate the effects of cow group on energy expenditure and utilization efficiency. Data used were collated from 32 calorimetric chamber experiments undertaken from 1992 to 2010, with 823 observations from lactating Holstein-Friesian (HF) cows and 112 observations from other groups of lactating cows including Norwegian (n = 50), Jersey × HF (n = 46), and Norwegian × HF (n = 16) cows. The metabolizable energy (ME) requirement for maintenance (ME m ) for individual cows was calculated from heat production (HP) minus energy losses from inefficiencies of ME use for lactation, energy retention, and pregnancy. The efficiency of ME use for lactation (k l ) was obtained from milk energy output adjusted to zero energy balance (E l(0) ) divided by ME available for production. The effects of cow groups were first evaluated using Norwegian cows against HF crossbred cows (F 1 hybrid, Jersey × HF and Norwegian × HF). The results indicated no significant difference between the 2 groups in terms of energy digestibility, ratio of ME intake over gross energy intake, ME m (MJ per kg of metabolic body weight, MJ/kg 0.75 ), or k l . Consequently, their data were combined (categorized as non-HF cows) and used to compare with those of HF cows. Again, we detected no significant difference in energy digestibility, ratio of ME intake over gross energy intake, ME m (MJ/kg 0.75 ), or k l between non-HF and HF cows. The effects were further evaluated using linear regression to examine whether any significant differences existed between HF and non-HF cows in terms of relationships between ME intake and energetic parameters. With a common constant, no significant difference was observed between the 2 groups of cows in coefficients in each set of relationships between ME intake (MJ/kg 0.75 ) and ME m (MJ/kg 0.75 ), E l(0) (MJ/ kg 0.75 ), HP (MJ/kg 0.75 ), ME m :ME intake, E l(0) :ME intake, or HP:ME intake. However, ME m values (MJ/ kg 0.75 ) were positively related to ME intake (MJ/kg 0.75 ), irrespective of cow group. We concluded, therefore, that cow groups evaluated in the present study had no significant effects on energy expenditure or energetic efficiency. However, the maintenance energy requirement (MJ/kg 0.75 ) was not constant (as adopted in the majority of energy rationing systems across the world) but increased with increasing feed intake.
Digital Commons @ DU Digital Commons @ DU

Abstract This paper provides a rationale on why and how to utilize assessment tools effectively within the behavioral framework through idiographic assessment. Empirical assessment instruments can provide guidance to the behaviorist that may prove useful in the idiographic formation of a behaviorally-based treatment plan. The paper will focus on two of the major traditional instrument tools, the Minnesota Multiphasic Personality Inventory and the Rorschach inkblot test
PENGGUNAAN TEKNOLOGI AUGMENTED REALITY UNTUK MENINGKATKAN PENGALAMAN PELANGGAN DALAM PEMASARAN PRODUK REAL ESTATE

Augmented Reality (AR) telah menjadi teknologi yang penting dalam berbagai bidang, termasuk bidang Real Estate. Dalam industri Real Estate, pengalaman pelanggan menjadi fokus utama dalam memilih properti. Sayangnya, media tradisional seperti foto dan video sering kali kurang interaktif, menghasilkan pengalaman yang kurang memuaskan bagi konsumen. Untuk mengatasi masalah ini, diperlukan solusi inovatif yang memungkinkan pelanggan untuk mengalami properti secara lebih mendalam dalam pemasaran. Penelitian ini bertujuan untuk mengembangkan aplikasi Augmented Reality pada perangkat smartphone yang bertujuan meningkatkan pengalaman pelanggan dalam memahami dan memilih produk Real Estate di Perumahan Griya Jati Kalijaga. Aplikasi ini memungkinkan konsumen untuk secara instan melihat properti yang dimunculkan secara digital dalam lingkungan fisik dunia nyata. Selain itu, aplikasi ini memberikan pengalaman interaktif yang memungkinkan pengguna untuk menjelajahi setiap ruangan dalam desain properti yang ditampilkan. Pendekatan yang digunakan dalam pengembangan aplikasi Augmented Reality ini adalah System Development Life Cycle (SDLC). SDLC melibatkan prosespengumpulan data, analisis data, perancangan, pembangunan, implementasi, dan pengujian sistem. Metode ini digunakan untuk memastikan bahwa aplikasi dapat dikembangkan dengan baik dan sesuai dengan kebutuhan pengguna. Hasil dari penelitian ini adalah aplikasi Augmented Reality yang dinamakan AREST (Augmented Reality Real Estate). Aplikasi ini memungkinkan pengguna untuk melihat properti dalam bentuk unit 3D dengan proporsi 1:1 dalam kondisi dunia nyata. Selain itu, terdapat fitur tambahan yang memungkinkan pengguna untuk menjelajahi ruangan dalam mode gambar 360 derajat. Aplikasi AREST dirancang untuk memberikan pengalaman yang lebih mendalam dan memuaskan bagi konsumen dalam memilih properti. Aplikasi AREST diharapkan dapat membantu Perumahan Griya Jati Kalijaga dalam menarik lebih banyak calon pembeli dan meningkatkan daya saing dalam industri Real Estate yang kompetitif.Kata kunci: Augmented Reality, Real Estate, Pemasaran, Interaktif, SDLC
Integrated prediction of green bond return under the dual risks of climate change and energy crisis

Prediction of bond return is a classic problem in financial area, providing an important basis for portfolio construction and risk management. The sustainable investment attribute of green bonds has been favored by investors, so that green bonds have become an important component for major asset allocation. However, due to the specific investment focus of green bonds, investors’ return expectations are influenced not only by traditional corporate bond factors, but also by related factors such as climate change and energy transition. Against the backdrop of increasingly severe climate risks and the global energy crisis, this paper analyses the volatility characteristics of China’s green bonds at multiple time scales, and introduces exogenous variables such as returns of the alternative financial assets, climate risks and returns of energy markets for prediction. Based on the LSTM model, the volatility of green bond yield at different time scales is separately predicted using optimal exogenous variable before integration. It is found that the new integrated prediction model can significantly improve the forecasting performance compared to traditional single LSTM models and simple decomposition-integrated models. Further, both climate risks and energy markets variables have a significant improvement effect on predicting green bond in low-frequency item, while energy markets variables also have a better predictive effect on trend items. Building on the use of only LSTM model, it could be further enhanced by integrating more algorithms to select the best single model for each component, further improve the prediction accuracy and provide a more effective quantitative tool for investment decision-making and risk management in related fields.
Greenness and kidney? A review of epidemiological studies on the association between green space and kidney disease

Recent accumulating epidemiological evidence underlines the important role of environmental exposures on kidney diseases. Among environmental exposures, this study addresses “Green space,” which has been recognized as one of the major environmental exposures at the population level. We review a total of seven epidemiological studies currently published on greenness and kidney disease. We also discuss knowledge gaps in the epidemiological evidence in relation to study design, greenness exposure index, emerging kidney outcomes, and inequalities. With an increase in public attention regarding environmental risks and climate change, an improved understanding of the beneficial effects of green space can play an important role in promoting kidney health.