Miracle-dz/UniFAR-FTUs huggingface dataset:
Temporal and spatial variability of energy intensity for atmospheric water generators

Atmospheric water generators (AWGs) produce potable water from the moisture in the air, providing a potentially viable water source in austere locations or emergency response scenarios. In this study, the operating constraints of three existing commercially available AWG devices are investigated, compared to historical weather data from across the continental United States. Utilizing linear regression modeling and weather station data for the years of 1985–2019, the monthly and spatial trends of energy demand to produce water from these devices are estimated. Energy and water production efficiencies for the devices are highly dependent on environmental conditions with relative humidity (RH) and temperature as the two driving factors. Publicly available manufacturer specifications for each AWG system were modeled to predict yield and specific energy consumption (SEC). A spatial analysis depicts the change in SEC in kilowatt-hours per liter (kWh l−1) across the country at a monthly scale. SEC for refrigeration AWG ranged between 0.02 and 3.64 kWh l−1 and solar driven sorption was between 3.19 and 5.29 kWh l−1, significantly larger than conventional water treatment energy demands. Additionally, the results are synthesized based on the Köppen–Geiger climate classification system, to approximate projected water production and energy demand for each environment, with arid climates demanding larger energy consumption per unit volume of water produced. Excluding arid and cold climate classes, solar powered refrigeration devices have the potential to operate more efficiently than solar driven sorption due to advances in photovoltaic solar panel technology, but still require more energy than alternatives.
A nonlinear complementarity model for supply chain network equilibrium

We study a nonlinear complementarity formulation of the supply chain network equilibrium problem, which is parallel to the variational inequality model established by Dong et al. (2004). In this setting, we obtain weaker conditions to guarantee the existence and uniqueness of the equilibrium pattern for a supply chain. A smoothing Newton method that exploits the network structure is proposed and convergence results are presented. Numerical examples show that the algorithm is more applicable than the modified projection method presented by Dong et al. (2004).
Goat-Sheep Livestock Business Development Strategy in Bekasi City

The social assistance program for raising goats in Bekasi City is an alternative to post-Covid-19 economic recovery which has been given to 100 business groups but after one year there were only 73 active breeders, so it is interesting to study with the aim of knowing internal factors (strengths and weaknesses) and external factors (strengths and threats) in formulating a strategy for developing a goat-sheep business in Bekasi City. A sample of 40 respondents was taken through a purposive sampling approach and data analysis was carried out qualitatively (descriptive business activities and determining alternative strategies), as well as quantitatively through instrument testing, IFE/EFE analysis, SWOT Matrix and QSPM Matrix. The results of the study show that the goat livestock business in Bekasi City is in a weak condition with strategic priorities, namely (1) revitalizing the revolving program by benchmarking to regions that carry out best practices, (2) maximizing the promotion of the revolving grant model with good management by policy makers, (3) strengthening the readiness of beneficiaries in raising goats, and (4) increasing the number of beneficiaries of sheep livestock assistance.
Inégalités de Morse holomorphes G-invariantes et formes de torsion asymptotiques

Dans cette these, nous etudions certains aspects de la limite semi-classique en geometrie complexe. Soit M une variete complexe munie d'un fibre en droites holomorphe L et d'un fibre complexe E. Nous donnons les proprietes asymptotiques d'objets associes aux grandes puissances tensorielles de L tordues par E. Dans le premier chapitre, M est compacte, L positif et E pas necessairement holomorphe. Nous montrons l'annulation des 2j premiers termes du developpement asymptotique diagonal du noyau de Bergman restreint aux (0,2j)-formes puis nous donnons une formule locale pour les coefficients dominants. Dans le deuxieme chapitre, M est compacte, E holomorphe et un groupe de Lie compact connexe agit sur M, L et E de facon compatible. Nous etablissons des inegalites de Morse holomorphes analogues a celles de Demailly pour la partie invariante de la cohomologie de Dolbeault. Pour cela, nous definissons, sous une hypothese naturelle, la reduction de M et nous donnons nos inegalites en termes de la courbure du fibre induit par L sur cette reduction. Dans le troisieme chapitre, E est holomorphe et M est l'espace total d'une fibration holomorphe de fibre compacte. On peut alors definir les formes de torsion analytique holomorphe associees a cette fibration et aux puissances de L tordues par E. Nous donnons d'abord une formule asymptotique pour ces formes, que nous generalisons ensuite dans le cas ou les puissances de L sont remplacees par l'image directe des puissances d'un fibre en droites sur une variete plus grosse. Dans les deux cas, nous devons faire des hypotheses de positivite sur le fibre en droites. Ces resultats sont les versions en famille des resultats de Bismut-Vasserot.
Enacting Mana Māori Motuhake during COVID-19 in Aotearoa (New Zealand): “We Weren’t Waiting to Be Told What to Do”

Māori, the Indigenous people of Aotearoa (New Zealand), were at the centre of their country’s internationally praised COVID-19 response. This paper, which presents the results of qualitative research conducted with 27 Māori health leaders exploring issues impacting the effective delivery of primary health care services to Māori, reports this response. Against a backdrop of dominant system services closing their doors or reducing capacity, iwi, hapū and rōpū Māori (‘tribal’ collectives and Māori groups) immediately collectivised, to deliver culturally embedded, comprehensive COVID-19 responses that served the entire community. The results show how the exceptional and unprecedented circumstances of COVID-19 provided a unique opportunity for iwi, hapū and rōpū Māori to authentically activate mana motuhake; self-determination and control over one’s destiny. Underpinned by foundational principles of transformative Kaupapa Māori theory, Māori-led COVID-19 responses tangibly demonstrated the outcomes able to be achieved for everyone in Aotearoa when the wider, dominant system was forced to step aside, to be replaced instead with self-determining, collective, Indigenous leadership.
A variant of the spectral clustering method using l1 -penalty to promote sparse eigenvectors basis

The spectral clustering method is one of the most well-known graph clustering algorithm, that is used in a wide range of fields and applications. In this paper, we propose a variant of the spectral clustering algorithm, called 1-spectral clustering. This procedure does not require the use of k-means to cluster the nodes of the graph, but directly estimates the indicators of the communities by computing a specific eigen-basis using a l1-penalty.
Tests of an operational algorithmic urban heat island scheme

This study presents the tests of an algorithmic scheme to calculate the magnitude of the heat island of the urban canopy layer, on an hourly basis throughout the year. The algorithmic scheme has been developed so that operational climatologists can apply it in all cities. Input requirements for the scheme are readily available meteorological data and simple numerical descriptors of the urban canyon geometry and rural surface conditions. The scheme comprises four components. The first, (AT u . r (m a x)), is an empirical relation that gives the absolute maximum urban heat island, experienced in a city as a function of its canyon height-to-width ratio in the urban core (Oke, 1981). Three 'phi ' terms, ( O m O w <J>t ), adjust this maximum downward as a result of the combined effects of rural surface thermal admittance, weather and time of day, respectively. The rural surface thermal admittance effect term, (3>m), is derived from the results of an energy balance model (Oke etal., 1991). Two datasets from Uppsala, Sweden and one from Lodz, Poland are used to test the scheme. The nocturnal performance of the scheme is promising. Average predicted nocturnal heat island magnitudes are typically within plus or minus half a degree of the measured heat island, ( M A E 0.5 °C), in Lodz, Poland (1998). However, the daytime utility of the scheme is poor. The regular occurrence of small, (~1 °C), daytime heat and cool islands is largely missed. Degradation of performance appears to be due, in part, to the inability of the scheme to produce negative heat islands (cool islands). Given that, applied (pollution) climatologists are primarily concerned with heat island effects when they attain magnitudes of several degrees; this is not considered a significant limitation. TABLE OF CONTENTS Page Abstract i i L i s t of Tables vii L i s t of Figures vi i i Acknowledgements xi i L i s t of Tables vii L i s t of Figures vi i i Acknowledgements x Chapter
Depression and anxiety in glioma patients

Abstract Glioma patients carry the burden of having both a progressive neurological disease and cancer, and may face a variety of symptoms, including depression and anxiety. These symptoms are highly prevalent in glioma patients (median point prevalence ranging from 16–41% for depression and 24–48% for anxiety when assessed by self-report questionnaires) and have a major impact on health-related quality of life and even overall survival time. A worse overall survival time for glioma patients with depressive symptoms might be due to tumor progression and/or its supportive treatment causing depressive symptoms, an increased risk of suicide or other (unknown) factors. Much is still unclear about the etiology of depressive and anxiety symptoms in glioma. These psychiatric symptoms often find their cause in a combination of neurophysiological and psychological factors, such as the tumor and/or its treatment. Although these patients have a particular idiosyncrasy, standard treatment guidelines for depressive and anxiety disorders apply, generally recommending psychological and pharmacological treatment. Only a few nonpharmacological trials have been conducted evaluating the efficacy of psychological treatments (eg, a reminiscence therapy-based care program) in this population, which significantly reduced depressive and anxiety symptoms. No pharmacological trials have been conducted in glioma patients specifically. More well-designed trials evaluating the efficacy of nonpharmacological treatments for depressive and anxiety disorders in glioma are urgently needed to successfully treat psychiatric symptoms in brain tumor patients and to improve (health-related) quality of life.
The Relationship Between Teacher–Student Relationship and Adolescent Emotional Intelligence: A Chain-Mediated Mediation Model of Openness and Empathy

Background As the role of emotional intelligence has been increasingly explored, researchers generally agree that emotional intelligence is a better predictor of individual success. And fortunately, emotional intelligence is somewhat easily shaped. Schools are important microsites for the shaping of an individual’s emotional intelligence. Good teacher-student relationship contribute to the shaping and development of students’ emotional intelligence. Objective Based on the theory of developmental contextualism, the current study aims to identify the relationship between good teacher-student relationship and students’ emotional intelligence, and the mediating roles of students’ openness and emotional intelligence. Methods In this study, a total of 352 adolescents (11–15 years old) from two schools were surveyed using the teacher-student relationship scale, big five inventory openness subscale, and emotional intelligence scale. Results Teacher-student relationship were positively correlated with students’ openness, empathy, and emotional intelligence. Teacher-student relationship positively predicted students’ emotional intelligence; students’ openness and empathy played a fully mediating role in teacher-student relationship and emotional intelligence. Conclusion The closeness and supportiveness of the teacher-student relationship were positively related to students’ openness, empathy, and emotional intelligence were positively correlated.
Changes in cardiac troponin I (cTnI), T (cTnT), and some biochemical parameters in Arabian racehorses after training

The aim of this study was to compare the changes in the content of cTnI, cTnT and some biochemical parameters (CK–MB, LDH, AST, ALT) in Arabian racehorses before and after training. Diagnosis of myocardial disease in horses is very difficult due to the lack of specific cardiac signs. Cardiac diseases are seen as a cause of sudden death or decreased performance in horses. It has also been reported that excessive exercise may cause transient myocardial damage. In our study, 20 healthy stallion Arabian racehorses aged 4–10 y (6.00 ± 0.52 y) were used. Five millilitres of blood was collected from the V. jugularis of clinically healthy horses into serum tubes before and after training. Training time was determined as 30 min for each horse. Pre-training cTnI, cTnT, CK–MB, LDH, AST, and ALT contents were determined to be 0.130 ± 0.01 ng/mL, 0.007 ± 0.00 ng/mL, 231.15 ± 8.96 U/L, 692.45 ± 34.12 U/L, 309.92 ± 18.48 U/L, and 11.83 ± 0.92 U/L, respectively. After training, cTnI, cTnT, CK–MB, LDH, AST, and ALT contents were determined to be 0.169 ± 0.01 ng/mL, 0.008 ± 0.00 ng/mL, 289.80 ± 10.96 U/L, 704.25 ± 22.03 U/L, 328.47 ± 19.58 U/L, and 15.24 ± 1.03 U/L, respectively. As a result, it was determined that exercise triggered myocardial damage to some extent in Arabian horses. Exercise stimulates troponin release and the differences that may occur in troponin tests in horses after exercise should be taken into consideration.
Missing Values in Linear Multiple Discriminant Analysis

This paper presents the results of an empirical study of handling the problem of missing values in a discriminant function analysis where both number of variables and number of individuals were very large. Elimination of individuals with missing values is considered and rejected. Estimation of missing values using means and estimation by an iterative regression technique are essayed, and the results compared. In this particular study, the far simpler method of using means for missing values gives comparable results with the regression estimation technique. Additional studies of the estimation techniques are recommended.
Eosinopenia as a Prognostic Biomarker for Noninvasive Ventilation Use in COPD Exacerbations

Background: In recent years, blood eosinophils have been evaluated as a surrogate biomarker for eosinophilic airway inflammation and as a prognostic indicator of the outcomes of hospitalized COPD subjects. During an exacerbation of COPD, eosinopenia has been proposed as a prognostic marker of adverse outcomes. Objectives: The aim of the present post hoc analysis was to elucidate the effectiveness of blood eosinophils for predicting the need of NIV in subjects with COPD exacerbation. Methods: Consecutive subjects admitted to a hospital for COPD exacerbation were included in the analysis. The eosinophil count from the first complete blood count was used to designate the eosinophil groups. The relationship between the clinical characteristics and blood eosinophil counts, as dichotomized using 150 cells/μL, was evaluated. Results Subjects with blood eosinophil number < 150 k/μL had a more severe disease on admission compared to subjects with ≥150 k/μL, regarding pH 7.400 (7.36, 7.44) vs. 7.42 (7.38, 7.45), p = 0.008, PO2/FiO2 levels 238.1 (189.8, 278.6) vs. 276.2 (238.2, 305.6), p < 0.001, CRP (mg/L) levels 7.3 (3.1, 19.9) vs. 3.5 (0.7, 7.8), p < 0.001 and required a longer hospital stay (days) 10.0 (8.0, 14.0) vs. 5.0 (3.0, 7.0) p < 0.001 respectively. The number of blood eosinophils correlated with the levels of CRP upon admission (p < 0.001, r = −0.334), with arterial pH upon admission (p < 0.030, r = 0.121), with PO2/FiO2 (p < 0.001, r = −0.248), and with duration of hospital stay (p < 0.001, r = −0.589). In the multinomial logistic regression analysis, blood eosinophil count < 150 k/μL was an independent predictor of the use of NIV during hospital stay. Conclusion: During COPD exacerbation, low blood eosinophil levels upon admission are related to more severe disease and can be used as a predictor of the need of NIV. Further prospective studies are needed to identify the use of blood eosinophil levels as a predictor of unfavorable outcomes.
SemiSiROC: Semisupervised Change Detection With Optical Imagery and an Unsupervised Teacher Model

Change detection (CD) is an important yet challenging task in remote sensing. In this article, we underline that the combination of unsupervised and supervised methods in a semisupervised framework improves CD performance. We rely on half-sibling regression for optical change detection (SiROC) as an unsupervised teacher model to generate pseudolabels (PLs) and select only the most confident PLs for pretraining different student models. Our results are robust to three different competitive student models, two semisupervised PL baselines, two benchmark datasets, and a variety of loss functions. While the performance gains are highest with a limited number of labels, a notable effect of PL pretraining persists when more labeled data are used. Further, we outline that the confidence selection of SiROC is indeed effective and that the performance gains generalize to scenes that were not used for PL training. Through the PL pretraining, SemiSiROC allows student models to learn more refined shapes of changes and makes them less sensitive to differences in acquisition conditions.
Structural Mechanical Properties of 3D Printing Biomimetic Bone Replacement Materials

One of the primary challenges in developing bone substitutes is to create scaffolds with mechanical properties that closely mimic those of regenerated tissue. Scaffolds that mimic the structure of natural cancellous bone are believed to have better environmental adaptability. In this study, we used the porosity and thickness of pig cancellous bone as biomimetic design parameters, and porosity and structural shape as differential indicators, to design a biomimetic bone beam scaffold. The mechanical properties of the designed bone beam model were tested using the finite element method (FEM). PCL/β-TCP porous scaffolds were prepared using the FDM method, and their mechanical properties were tested. The FEM simulation results were compared and validated, and the effects of porosity and pore shape on the mechanical properties were analyzed. The results of this study indicate that the PCL/β-TCP scaffold, prepared using FDM 3D printing technology for cancellous bone tissue engineering, has excellent integrity and stability. Predicting the structural stability using FEM is effective. The triangle pore structure has the most stability in both simulations and tests, followed by the rectangle and honeycomb shapes, and the diamond structure has the worst stability. Therefore, adjusting the porosity and pore shape can change the mechanical properties of the composite scaffold to meet the mechanical requirements of customized tissue engineering.
Effectiveness of Liquid Organic Fertilizer from Banana Peel on the Growth of Pepper Plants (Capsicum annuum)

- The use of organic fertilizers as an alternative to chemical fertilizers is one way to reduce the use of chemical fertilizers which have negative effects when used for a long time. This study aims to determine the effect of liquid organic fertilizer on the growth of pepper plants. This study used a completely randomized design (CRD), which consisted of 6 treatments with 4 replications, namely control P0 (0 ml), P1 (100 ml), P2 (200 ml), P3 (300 ml), P4 (400 ml), P5 (500 ml). The variables observed in this study were plant height, number of leaves, dry weight, and fresh weight. The results of the study showed that
Fish—To Eat or Not to Eat? A Mixed-Methods Investigation of the Conundrum of Fish Consumption in the Context of Marine Pollution in Indonesia

Background: The Indonesian government faces a dilemma of promoting fish consumption for its health benefits and to ease food insecurity, while at the same time seeking effective approaches to reduce the high levels of marine pollution. However, the factors associated with fish consumption in the face of persistent high levels of marine pollution are not well elucidated in the literature. Objectives: This was an explorative study to investigate the sociodemographic factors related to fish consumption and to understand the perspectives of expert informants on marine pollution and its impact on fish quality and availability in Indonesia. Methods: We characterized fish consumption among respondents aged 15 years and older in the fifth wave of the Indonesian Family Life Survey (n = 31,032), based on their sociodemographic profiles, and developed multinomial regression models to assess the relationship between respondents’ sociodemographic profiles and quintiles of fish consumption. We also conducted in-depth interviews on fish consumption and marine pollution with key informants from Indonesia (n = 27). We then used a convergent mixed-methods design to synthesize the results of both datasets. Results: Fish was the most frequently consumed animal-source food reported by survey respondents: 2.8 (±2.6) days/week. More younger respondents (15–19 years) reported relatively lower consumption of fish (9.3% in Q1 versus 5.9% in Q5) compared to respondents 50 years and older (37% in Q1 versus 39.9% in Q5; p < 0.01). When classified by region, more respondents from the Java region reported lower consumption of fish (86.5% in Q1 versus 53% in Q5; p < 0.01). Key-informants’ perspectives corroborated the survey results by indicating that the younger generation tends not to want to consume fish; informants expanded the survey results by suggesting that fish is scarce in the Java region due to high levels of marine pollution. Informants further implied that there is low awareness about the impact of marine pollution on fish quality among most of the Indonesian population. Conclusion: Evidence from both data sources converge on differential preference for fish consumption by age group. Informants’ perspectives also link marine pollution to fish scarcity, which poses a threat to food security among low-income Indonesians and to human health globally. More studies are needed to corroborate our findings and inform policy guidelines to reduce marine pollution while promoting fish consumption in Indonesia.
Strong rigidity for ergodic actions of semisimple Lie groups1

The aim of this paper is to prove an analogue of the strong rigidity theorems for lattices in semisimple Lie groups of Mostow and Margulis in the context of ergodic actions of semisimple Lie groups and ergodic foliations by symmetric spaces. If G is a locally compact group and S is an ergodic G-space with finite invariant measure, one can attempt to study the action by means of the equivalence relation on S which it defines. Two actions (of possibly different groups) are called orbit equivalent if they define isomorphic equivalence relations. Of course for two actions of the same group, conjugacy of the actions (or more generally, automorphic conjugacy, i.e., conjugacy modulo an automorphism of the group) implies orbit equivalence. However in general, orbit equivalence is, to a surprising extent, a far weaker notion. This