Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy efficiency in street lighting — Citizens point of view

Energy-efficiency has been gaining more and more importance in the past few years, and today it is considered essential, in order to optimize the use of energy resources and to assure environmental and economic sustainability. Regarding street lighting, there are several solutions for achieving energy efficiency, raising opportunities for improvement and innovation, and allowing a rationalization in consumption. Although these benefits are clear and significant, a specific challenge arises, namely the acceptance of these solutions by citizens, as many of them affect their perceptions and feelings regarding their own security and their quality of life in the public spaces of cities. To better understand the citizens' attitudes towards public street lighting, a study was conducted in 2014, with the following objectives: 1) understand the assessments about streetlight; 2) measure citizen knowledge about energy efficiency; 3) develop hypothesis on how can streetlight consumption become more efficient without interfering in the citizens security. Over 2000 interviews were conducted, covering three stages of assessment: attitudes, expectations and scenarios receptivity (always in the citizen perspective). From this study interesting conclusions can be taken, which will support the implementation of energy efficiency measures in public lighting. The high importance citizens attribute to street lighting is reinforced, particularly regarding their sense of security and day-to-day habits. We conclude that citizens are willing to accept changes in street lighting, aiming at achieving gains in energy efficiency, mainly through the elimination of what they consider to be a waste in consumption.
Cryptococcus neoformans–Specific and Non–Cryptococcus neoformans–Specific Antibody Profiles in Organ Transplant Recipients With and Without Cryptococcosis

Abstract Antibody immunity has not been studied in organ transplant recipients (OTRs) with cryptococcosis. We determined serum antibody levels in OTRs: 23 cryptococcosis cases and 21 controls. Glucuronoxylomannan immunoglobulin M (IgM) and laminarin IgM were lower in cases than controls, were inversely associated with cryptococcosis status, and may hold promise as markers of cryptococcosis.
A Study of Temporal Evolution of Morphological Brain Changes on Conventional MRI Sequences and Brain Metabolites on MR Spectroscopy in Infants with Neonatal Hypoxic Ischemic Encephalopathy

Magnetic resonance imaging (MRI) and Proton magnetic resonance spectroscopy (1HMRS) plays an important role in assessment and prognostication of the brain damage due to perinatal hypoxic-ischemic encephalopathy (HIE). Serial imaging is superior and is more useful especially in the prognostication. The aim of the present study was to assess the Temporal evolution of morphological brain changes on conventional MR imaging sequences and brain metabolites on MRS in deep gray matter as early as possible after birth, their status on follow up MRI scan in first 6 months of life. A prospective observational study was performed between October 2020 and September 2021. 31 full-term neonates with HIE, were included. Two sequential MR studies were performed; a conventional MR imaging, and proton MR spectroscopy for observation in the deep gray matter. Morphological brain changes were studied in the form of MRI scoring system. Followup with clinical examination for neurodevelopmental delay was done in our pediatric neurology clinic at 6 to 7 months of age. Mean MRI score in the first scan was found out to be 5.58 and in the second scan it was around 2.25. 30 subjects out of 31 showed lactate peak in the first scan and on followup imaging 8 out of 30 infants showed persistence of lactate peak (P value < 0.0001), 27 (87.1 %) out of 31 subjects showed increase in NAA/Cr ratio on followup scan and 4 (12.9%) subjects showed decrease in NAA/Cr ratio. 5 out of 31 infants showed developmental delay, one infant expired and 25 infants (80 %) had no significant developmental delay. In conclusion there is significant correlation between persistence of lactate peak, decrease in NAA/Cr ratio and increased MRI score with neurodevelopmental delay. Keywords: Hypoxic-ischemic encephalopathy, Magentic resonance spectroscopy, Lactate peak, NAA/Cr ratio, neurodevelopmental delay, serial MRI.
Process optimization for biogas generation from water hyacinth and its supplementation in paddy straw based digester

The present study was aimed at process optimization for biogas generation from water hyacinth and its supplementation in paddy straw based digester. Water hyacinth, being a lignocellulosic material contains 17.0% cellulose, 29.2% hemicellulose, 5.0% lignin, 8.2% silica, 3.72% nitrogen, 2.86% phosphorus and 2.89% potassium. Chopped water hyacinth was used for optimization of biogas production along with cattle dung and biodigested slurry. The different parameters like particle size, inoculum concentration, moisture content, incubation temperature, metal ions and pH were optimized for biogas production and the spent waste thus generated was analyzed for change in proximate composition, chemical composition and lignocellulolytic enzyme production. Maximum biogas was observed with water hyacinth of 1cm size, 10% inoculum concentration and 60% moisture content. The temperature of 42±2°C along with neutral pH i.e 7 was found to be more suitable for biogas production in the presence of 1μM/g manganese chloride. Under optimized conditions, 44.9 l biogas /kg water hyacinth, 360.09 l/kg total solids and 397.95 l biogas/kg volatile solids were produced in a period of 40 days. Maximum 14.9% total solids, 85.5% volatile solids, 22.8% cellulose, 33.48 % hemicellulose, 12.24% lignin, 6.42% silica were consumed for biogas production. Analysis of the spent waste from biogas digester showed that 426.7 U/g of endoglucanase, 1648.5 U/g of β-glucosidase, 236.15 U/g of exoglucanase, 164.11 U/g of laccase, 28.805 U/g of MnP and 28.34 U/g of LiP can be produced. Supplementation of different concentration of water hyacinth in paddy straw based digester led to increase in biogas production by 13.59% at 75% concentration. Hence from the above studies, it is inferred that water hyacinth is a good substrate for biogas production and can also be codigested with paddy straw for enhancing biogas production. Simultaneously biodigested mixture being rich in lignocellulosic matter can be used as a potential substrate for lignocellulolytic enzyme production.
Exposure to Random Positioning Machine Alters the Mineralization Process and PTX3 Expression in the SAOS-2 Cell Line

Bone loss is among the most frequent changes seen in astronauts during space missions. Although weightlessness is known to cause high bone resorption and a rapid decrease in bone minerals and calcium, the underlying mechanisms are not yet fully understood. In our work, we investigated the influence of random positioning machine (RPM) exposure on the mineralization process in the SAOS-2 cell line, in osteogenic and non-osteogenic conditions, by examining changes in their mineralizing capacity and in the expression of PTX3, a positive regulator of bone mineralization. We analyzed cell viability by MTS assay and the mineralization process after staining with Toluidine Blue and Alizarin Red, while PTX3 expression was investigated by immunocytochemistry and western blotting analysis. Our results showed that RPM exposure increased cells’ viability and improved their mineralizing competence when not treated with osteogenic cocktail. In contrast, in osteogenic conditions, cells exposed to RPM showed a reduction in the presence of calcification-like structures, mineral deposits and PTX3 expression, suggesting that the effects of RPM exposure on mineralizing matrix deposition depend on the presence of osteogenic factors in the culture medium. Further studies will be needed to clarify the role of potential mineralization markers in the cellular response to the simulated biological effects of microgravity, paving the way for a new approach to treating osteoporosis in astronauts exposed to spaceflight.
Exponential synchronization for second-order switched quaternion-valued neural networks with neutral-type and mixed time-varying delays

This article focuses on the global exponential synchronization (GES) for second-order state-dependent switched quaternion-valued neural networks (SOSDSQVNNs) with neutral-type and mixed delays. By proposing some new Lyapunov–Krasovskii functionals (LKFs) and adopting some inequalities, several new criteria in the shape of algebraic inequalities are proposed to ensure the GES for the concerned system by using hybrid switched controllers (HSCs). Different from the common reducing order and separation ways, this article presents some new LKFs to straightway discuss the GES of the concerned system based on non-reduction order and nonseparation strategies. Ultimately, an example is provided to validate the effectiveness of the theoretical outcomes.
PENERAPAN JOINT VENTURE PADA PT. X

This research aims to find out the Application of Joint ventures in PT. X. This research uses qualitative methods that are qualitatively descriptive. For data sources selected purposive sampling with the criteria of mastering or understanding the application of a Joint Venture, the number of informants was as many as 3 people. Data collection techniques using non-participatory observation techniques, interviews, documentation studies, and triangulation. The results of the study showed that cooperation between capital owners was carried out both in terms of stock capital and also the formation of a board of directors and the composition of commissioners. The contractual/agreements used in this Joint Venture are the Joint Venture Agreement and articles of association. The advice in the implementation of this Joint Venture is that there needs to be a discussion from the board of directors or commissioners in order to achieve the goals well, and the need for more socialization for business activities that are being carried out, and socialization of work implementation to be in accordance with the regulations derived from either the Joint Venture Agreement or the Articles of Association.
Imperfect Debugging Software Belief Reliability Growth Model Based on Uncertain Differential Equation

Due to the increased dependency of the modern system on software-based system, software reliability has become the primary concern during the software development. To track and measure the software reliability, various software reliability growth models under the framework of probability theory have been proposed. Note that software failures involve lots of epistemic uncertainty, which cannot be depicted well by the probability theory, and debugging processes are usually imperfect due to the complexity and incomplete understanding of software systems. This article deduces an imperfect debugging software belief reliability growth model using the uncertain differential equation under the framework of uncertainty theory, and investigates properties of essential software belief reliability metrics, namely belief reliability, belief reliable time, and mean time between failures based on the belief reliability theory. Estimations for unknown parameters in this model are derived. Real data analyses validate our model and show that it performs better than previous models from the perspective of the sum of square error. A theoretical analysis for these results is presented.
GMS-RANSAC: A Fast Algorithm for Removing Mismatches Based on ORB-SLAM2

This paper presents a new method of removing mismatches of redundant points based on oriented fast and rotated brief (ORB) in vision simultaneous localization and mapping (SLAM) systems. On the one hand, the grid-based motion statistics (GMS) algorithm reduces the processing time of key frames with more feature points and greatly increases the robustness of the original algorithm in a complex environment. On the other hand, aiming at the situation that the GMS algorithm is prone to false matching when there are few symmetry feature point pairs, the random sample consensus (RANSAC) algorithm is used to optimize and correct it. Experiments show that the method we propose has an average error correction rate of 28.81% for individual GMS while the time consumed at the same accuracy threshold is reduced by 72.18% on average. At the same time, we compared it to locality preserving matching (LPM) and progressive sample consensus (PROSAC), and it performed the best. Finally, we integrated GMS-RANSAC into the ORB-SLAM2 system for monocular initialization, which results in a significant improvement.
Acute Presentation of Newly Diagnosed Multiple Sclerosis Associated With Polymerase Chain Reaction-Proven Human Herpesvirus 6 Central Nervous System Infection

We present the case of a 26-year-old male who was found to have human herpesvirus 6 (HHV-6) in his cerebrospinal fluid (CSF) during acute presentation of multiple sclerosis (MS). Paresthesia of the lower extremities was his only symptom during the initial presentation, and workup for MS was not included during this evaluation. A single dose of IV steroids failed to improve his condition, and symptoms became more severe. Upon secondary evaluation, MRI revealed white-matter disease with plaques at multiple levels of the cervical spine and central nervous system (CNS). Lumbar puncture was obtained, and CSF analysis was positive for HHV-6 DNA. After five days of oral steroid treatment and physical therapy for three weeks, his symptoms continued to worsen. MRI at this time demonstrated an increase in the size of previous plaques and new foci of white matter disease. Repeat CSF analysis was negative for HHV-6. The virus’ association with relapse of MS has been investigated by many studies. However, there is a lack of literature investigating its role in causing MS disease. In this case report, we highlight the need for further research aimed at determining if HHV-6 is an environmental trigger for MS disease onset.
Controlled remote implementation of operators via hyperentanglement

Distributed quantum computation is a good solution for salable quantum computation within a quantum network each node of which just contains reasonably a few number of qubits. Controlled implementation of operators on states of a remote node is thus necessary. In this paper we propose protocols for three kinds of tasks of controlled implementation of operators on remote photon states via one hyperentangled Greenberger–Horne–Zeilinger state assisted with cross-Kerr nonlinearities: one with general operators and photon states in spatial degree of freedom (DOF), another one also with general operators but the photon state being in polarization DOF and the third one with a limited subset of operators acting on photon state in both spatial and polarization degrees of freedom. All the protocols are deterministic and performed in two steps under quantum control in each step.
Well-being of police personnel: Role of perceived social support and perceived control of internal states

The cross-sectional study aimed to investigate the relationship between the domains of perceived social support (PSS), perceived control of internal states (PCOIS) and well-being (WB) among police personnel. One hundred twenty two police officers (106 males and 16 females) from the state of Odisha, India were selected using purposive sampling method and were required to fill up the perceived social support, perceived control of internal states and well-being questionnaires. The relationships among these variables were examined using Pearson product moment correlation. The impact of social support and perceived control of internal states on well-being was analysed by multiple hierarchical regression analysis. Significant positive relationships among all these variables were noted. The relationship between the social support from friends’ domain and well-being was not significant. In addition, well-being was predicted by both perceived social support and perceived control of internal states. The findings of this study can help in developing interventions which can enhance the well-being of police personnel by targeting their perceived social support and perceived control of internal states.
Artifact Reduction for Sparse-View CT Using Deep Learning With Band Patch

Sparse-view computed tomography (CT), an imaging technique that reduces the number of projections, can reduce the total scan duration and radiation dose. However, sparse data sampling causes streak artifacts on images reconstructed with analytical algorithms. In this article, we propose an artifact reduction method for sparse-view CT using deep learning. We developed a lightweight fully convolutional network to estimate a fully sampled sinogram from a sparse-view sinogram by enlargement in the vertical direction. Furthermore, we introduced the band patch, a rectangular region cropped in the vertical direction, as an input image for the network based on the sinogram’s characteristics. Comparison experiments using a swine rib dataset of micro-CT scans and a chest dataset of clinical CT scans were conducted to compare the proposed method, improved U-net from a previous study, and the U-net with band patches. The experimental results showed that the proposed method achieved the best performance and the U-net with band patches had the second-best result in terms of accuracy and prediction time. In addition, the reconstructed images of the proposed method suppressed streak artifacts while preserving the object’s structural information. We confirmed that the proposed method and band patch are useful for artifact reduction for sparse-view CT.
Pine Based Blend Essential Oil Did Not Reduce Methane Production But Increase Organic Matter Digestibility On Ruminal Feed Fermentation In Vitro

This research was done to investigate the effect of blend essential oil EOs1 with pine ( Pinus merkusii ; Jungh. and de Vriese) essential oil as the main component on feed nutrient digestibility and methane production. Blend essential oil consist of pine and eucalyptus ( Melaleuca leucadendra (L.) essential oil in ratio 3:1 (EOs1). The EOs1 was added into the feed commonly used by the farmer, which consisted of king grass, rice bran, and pollard (60:20:20). The addition dosages of EOs1 was equal to 0, 100, and 200 µL/L of in vitro fermentation medium. In vitro gas production method using serum bottles was used to incubate feed material added EOs1 at 39°C for 24 h. At the end of incubation, gas produced was collected for methane analysis, and residual feeds were collected for further nutrients analysis, including dry matter, organic matter, crude protein, and crude fiber. Nutrient data then used to calculate the digestibility of dry matter, organic matter, crude protein, and crude fiber (DMD, OMD, CPD, and CFD), respectively. Data shows that all the treatments did not affect the methane production, DMD, CPD, and CFD, but increase OMD (p<0.05). It could be concluded that blend essential oil from pine and eucalyptus at ratio 3:1 potentially as a feed additive to improve nutrient metabolism but not for methane mitigation.
Failure to gulp surface air induces swim bladder adenomas in Japanese medaka (Oryzias latipes)

In order to elucidate the effects of swim bladder inflation failure on swim bladder carcinogenesis, we investigated the sequential histopathological changes of swim bladders at 13, 24, 35, and 53 days post-hatch (dph) in medakas with an uninflated swim bladder, which was experimentally induced by denying access to the air–water interface between 0 and 6 dph. The reactive oxygen species (ROS) levels were measured at 24 dph. An uninflated swim bladder was induced in 47.3% of the fish denied access to the air–water interface (the denied group). The total incidence of swim bladder adenoma was 54.1% in the denied group; however, these tumors were observed in all fish with an uninflated swim bladder. In fact, these tumors were observed from 13 dph and onwards. The TBARS levels of the juveniles showed a 2.6-fold increase in fish with an uninflated swim bladder in the denied group compared to that in the control group. It is speculated that swim bladder inflation failure has some effects on the gas gland to produce ROS, leading to DNA damage in the gas glandular epithelium, which develops into swim bladder adenomas. Consequently, it is concluded that denying access to the air-water interface between 0 and 6 dph in medaka is an easy method of inducing swim bladder tumors in a short-term period, and is a useful method for producing tumor-bearing fish.
Effect of Cinnamon Extract on Energy and Protein Utilization Efficiency of Broilers Chickens

This study aimed to evaluate the effect of cinnamon extract ( Cinnamomum burmannii ) in drinking water on energy and protein utilization efficiency of broilers. 200 Lohmann W99 Grade-A broilers were randomly divided into 5 treatment groups and 5 replications, and each replication consisted of 8 chickens. The treatment groups were KN= control treatment, drinking water without any addition; AT= drinking water + antibiotic 45 mg/l; NK1= drinking water + cinnamon extract 0.025 ml/l; NK2= drinking water + cinnamon extract 0.05 ml/l; and NK3= drinking water + cinnamon extract 0.1 ml/l. The variables observed in this study were water intake, water and feed intake ratio, energy intake, protein intake, energy utilization efficiency and protein utilization efficiency. All data were analysed using analysis of variance (ANOVA) and the differences among the treatment groups mean were analysed using Duncan’s new multiple range test (DMRT) at 5% probability level. All treatments with the addition of cinnamon extract as well as treatment with antibiotic had higher energy and protein utilization efficiency values compared to control treatments (p<0.05). Based on the results of the study it can be concluded that by adding the cinnamon extract to drinking water could increase the efficiency of energy and protein utilization in poultry production, especially broiler chickens.
Disaster Preparedness Education among Community: What is effective? An Integrative Literature Review

Background: Community-based disaster preparedness is vital in all types of disaster scenarios. Despite having resources and post-disaster training, growing evidence indicates that many residents struggle to prepare ahead of a disaster. Objectives: The aim of this review was to evaluate the effectiveness of disaster preparedness education for community. Methods: A literature search was conducted using combination of the following keyword: “disaster planning” or “disaster preparedness” or “disaster training” and “evaluation or outcomes of education” and “community” or “family” Medline database via OVID and ProQuest Social Sciences Journals. Results: The review included fourteen articles, seven of which were quantitative, four of which were qualitative, and three of which were mixed-method studies. The education contents were related to psychological first aid, evacuation sites and routes in times of disaster, items to prepare in case of emergency, preparing for safety inside a home, community mapping, and responding to psychological trauma, and how to build sustainability into community work. Conclusion: All of the strategies and content used in disaster preparedness tend to enhance community preparedness. More research is needed to identify best practices for community disaster preparedness by using more rigors method and consider the local needs or barriers in designing education program.