Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive Creditworthiness Modeling in Energy-Saving Finance: Machine Learning Logit and Neural Network

Customer's creditworthiness was becoming more crucial for ESCO. Machine learning was used to predict the creditworthiness of clients in retrofit financing processes. Machine learning was used to predict the creditworthiness of clients in ESCO financing processes. This research aimed to develop a retrofitting scoring model to leverage a machine learning and life cycle cost analysis (LCCA) to evaluate alternative financing for Energy Efficiency Saving in Indonesia. The model was built on the Logistic Regression model and Artificial Neural Networks model of machine learning. The model was developed and tested using the Python algorithm, and the proposed model's efficiency was demonstrated. The logistic regression calculations showed that the accuracy value of prediction data with test data was 88.3562 % and 87.67% for Artificial Neural Networks and Logistic Regression models. The prediction rate result that refers to the correct predictions among all test data for Artificial Neural Networks and Logistic Regression model was 92.20% and 91.98%, respectively. Meanwhile, the percentage of customers who were correct to all customers predicted to default was 94.41% for Artificial Neural Networks and 93.81% for the Logistic Regression model. Credit models were helpful to evaluate the risk of consumer loans. Finally, the quality and performance of these models were evaluated and compared to identify the best one. The logistic regression and neural network models obtained were good and very similar, although the neural network was slightly better.
HOW, WHAT, AND WHERE IS IT POSSIBLE TO LEARN DESIGN MATERIALS

The aim of the dissertation is to deepen the understanding of the modality on which the Didactic of the materials in the formation of the designer could be based. The research encompasses the past and present didactic of materials and focuses on future developments with a cautious view on the possible cross-fertilization with other didactic methods developed in other disciplines. Fundamental to this scope is to illustrate in detail the actual phenomenon of the birth of library of materials as research centres on materials for design. Substantial differences will be evidenced between different typologies and reality, such as private and universitarian. An explicit table will be compiled of existing didactic material (books, experts, manuals, data banks, publications, magazines) formulating a classification based on diverse typologies and scopes. What needs to emerge is the potential utility of each typology during the formative period of the designer. The Bauhaus approach to materials’ theme is here considered as the first exemple of effective and contemporary teaching methodology. The focus shall be on the case study of a project for a didactic laboratory of materials for design. The prefixed result is that of showing which of the tools reveal themselves useful on the modality of the project. Individualized the positives and deficiencies, the guideline will emerge explicitly for an adequate set of instruments available for the didactic of the material in a context of the project. From a conceptual point of view the basic theme of the dissertation will focus on the possibility of consolidation and/or creation, where non-exists, points of contact between the culture of engineering and that of design, reflecting on possible interactions and feedback useful for a possible enrichment of both. Keyword: design materials, materials library, pedagogic tools 1 THE DIDACTIC OF THE MATERIALS IN THE HISTORY OF THE
Structure, thermal stability and content assay of hemocyanin from molluscs

A glycoprotein, hemocyanin, found in molluscs possesses potentials in treating medical conditions involving herpes virus. To ensure the quality and effectiveness of the protein for therapeutic uses, its molecular structure and thermal stability are key characteristics that need elucidation. Differential scanning calorimetry (DSC) was carried out to obtain protein melting profile and transmission electron microscopy (TEM) to obtain a structural image of the protein. An atomic absorption spectrometry (AAS) method was developed and validated for the determination of copper (Cu) in native serum extracted from animal resources. The hemocyanin content was deduced from copper content measurements by using a constant copper/ protein molar ratio. The AAS was found a reliable tool for quantitative measurement of total copper content. These measurements are crucial for further studies on protein stability, purification and formulation. The results from our research on the structure, thermal stability and concentration analysis of the protein are of value in discerning its therapeutic usage.
Quantitative risk analysis of computer networks

Quantitative Risk Analysis of Computer Networks (QSRA) addresses the problem of risk opacity of software in networks. It allows risk managers to get a detailed and comprehensive snapshot of the constitutive software on the network, assess its risk with assistance of a vulnerability database, and manage that risk by rank ordering measures that should be taken in order to reduce it, subject to cost, functionality and risk constraints. A theoretical methodology is proposed and a prototype implementation has been developed. Six out-of-the-box popular operating systems were studied using the methodology and the prototype. We find that around 75% of discovered vulnerabilities are patchable within two weeks, and around 90% within 40 days after initial discovery. We find a statistically significant time window difference between security-audited and non-security audited software. Across the operating systems, the majority of faults give rise to availability and full compromise consequences. There is a statistically significant difference between fault types: Input validation faults are proportionally over-represented. There is a statistically significant difference between consequence types: Full compromise consequences are proportionally over-represented. There is, however, no statistically significant fault or consequence proportion difference between the audited systems. QSRA's risk assessment model calculated that for all audited systems, four to six months after their respective release date, the probabilities are very high (66% to 99%) that an attacker can conduct a full consequence compromise, remotely and locally. Risk management analysis for remote risk probabilities indicates that, given a moderate fault count, QSRA's ‘highest risk’ analytic risk mitigation strategy consistently outperforms the simpler strategy of choosing software with the highest vulnerability count. ‘Highest risk’ outperforms the undifferentiated ‘highest count’ strategy for at least four out of the six tested operating systems and for four out of five fault consequences.
Concentrations of Tetrodotoxin (TTX) and Its Analogue 4,9-Anhydro TTX in Different Tissues of the Silver-Cheeked Pufferfish (Lagocephalus sceleratus, Gmelin, 1789) Caught in the South-Eastern Mediterranean Sea, Lebanon

Pufferfishes are among the best-known marine organisms that accumulate marine biotoxins such as Tetrodotoxin (TTX). In the Mediterranean Sea, the silver-cheeked toadfish Lagocephalus sceleratus is the most reported TTX-bearer, causing many fatal and non-fatal cases. In Lebanon, no previous studies have measured TTX levels although the possibility of TTX-poisoning is high since L. sceleratus is caught in different sizes and can be mistaken with other small fishes. Hence, this study reports TTX and its analogue 4,9-anhydro TTX in L. sceleratus collected from Lebanese waters in the Eastern Mediterranean Sea. The results show that TTX concentrations in fish tissues varied between 0.10 and 252.97 µg/g, while those of 4,9-anhydro TTX oscillated between 0.01 and 43.01 µg/g. Internal organs of L. sceleratus were the most toxic parts of its body, with the highest TTX levels found in gonads (mainly ovaries) and liver, followed by the muscles and skin with concentrations always exceeding the safety level. Toxicity fluctuations of L. sceleratus, its expansion, ecological and economic effects were also elucidated. Based on the present findings, it has been confirmed that L. sceleratus constitutes a health, ecological and economic risks, and therefore its trade in seafood markets should be banned to avoid any potential intoxication.
Cereal Germination under Low Oxygen: Molecular Processes

Cereal crops can differ greatly in tolerance to oxygen shortage under germination and seedling establishment. Rice is able to germinate and elongate the coleoptile under submergence and anoxia. This capacity has been attributed to the successful use of starchy reserves through a molecular pathway activated by sugar starvation and low oxygen. This pathway culminates with the expression of α-amylases to provide sugars that fuel the sink organs. On the contrary, barley and wheat are unable to germinate under anoxia. The sensitivity of barley and wheat is likely due to the incapacity to use starch during germination. This review highlights what is currently known about the molecular mechanisms associated with cereal germination and seedling establishment under oxygen shortage with a special focus on barley and rice. Insights into the molecular mechanisms that support rice germination under low oxygen and into those that are associated with barley sensitivity may be of help for genetic improvement programs.
Communication Resources Management Based on Spectrum Sensing for Vehicle Platooning

Vehicle platoon is a group of vehicles moving in the same direction at a certain speed while maintaining a stable inter-vehicle distance, and so the vehicles are closely connected with each other in a virtual way. While a vehicle platoon can improve traffic efficiency, there are some challenges in maintaining communication among platoon members, especially when some vehicles join an existing platoon that includes long-body, heavy-duty or special vehicles. In order to solve this problem, we propose a spectrum sensing scheduling (SSS) scheme for communication resource management in platooning. First, we propose a three-level platoon architecture, which includes the cloud, road side unit (RSU), and vehicles to increase the communication coverage of a platoon and multiple platoons. Second, the spectrum sensing model, platoon control error model, and platoon communication delay model are established for the platoon delay under the SSS scheme. Third, we propose a greedy algorithm for resource allocation, which is based on the SSS scheme and vehicle-to-vehicle (V2V) communications, to minimize platoon delay. Finally, we simulate platoon delay and platoon safety status of the SSS scheme when some vehicles join an existing platoon. Simulation results show that the proposed SSS scheme reduces the platoon communication delay by around 50% and achieves a smaller platoon error as compared with existing baseline schemes for resource scheduling.
Experimental study on response performance of vortex-induced vibration on a flexible cylinder

Abstract Laboratory tests were conducted on a flexible cylinder to improve the understanding of the response performance of vortex-induced vibration (VIV). The experiment was performed in a towing tank and the relative current was simulated by towing the flexible cylinder in one direction. Based on modal superposition, VIV displacements were obtained from the measured strain. VIV responses from different current cases were analysed, and the response performances, such as the motion trajectory, strain response, and fatigue damage, were studied. The motion trajectory for the flexible cylinder at low velocity displays the typical type-eight figure, very similar to that for a rigid cylinder. However, with increased velocity, the motion trajectory becomes chaotic, induced by the multi-mode VIV responses. Simplified fatigue damage based on the typical steady motion trajectory is usually a little larger than the measured fatigue damage based on the chaotic motion trajectory, but of the same order.
Assessment of Bone Microarchitecture in Fresh Cadaveric Human Femurs: What Could Be the Clinical Relevance of Ultra-High Field MRI

MRI could be applied for bone microarchitecture assessment; however, this technique is still suffering from low resolution compared to the trabecular dimension. A clear comparative analysis between MRI and X-ray microcomputed tomography (μCT) regarding microarchitecture metrics is still lacking. In this study, we performed a comparative analysis between μCT and 7T MRI with the aim of assessing the image resolution effect on the accuracy of microarchitecture metrics. We also addressed the issue of air bubble artifacts in cadaveric bones. Three fresh cadaveric femur heads were scanned using 7T MRI and µCT at high resolution (0.051 mm). Samples were submitted to a vacuum procedure combined with vibration to reduce the volume of air bubbles. Trabecular interconnectivity, a new metric, and conventional histomorphometric parameters were quantified using MR images and compared to those derived from µCT at full resolution and downsized resolutions (0.102 and 0.153 mm). Correlations between bone morphology and mineral density (BMD) were evaluated. Air bubbles were reduced by 99.8% in 30 min, leaving partial volume effects as the only source of bias. Morphological parameters quantified with 7T MRI were not statistically different (p > 0.01) to those computed from μCT images, with error up to 8% for both bone volume fraction and trabecular spacing. No linear correlation was found between BMD and all morphological parameters except trabecular interconnectivity (R2 = 0.69 for 7T MRI-BMD). These results strongly suggest that 7T MRI could be of interest for in vivo bone microarchitecture assessment, providing additional information about bone health and quality.
Geo-spatial Classification of Vulnerability Zones using Lithological, Elevation and Geoelectric Parameters in a Typical Basement Complex Environment

Lithology, elevation and four (4) geoelectric parameters were utilized in assessing the groundwater vulnerability at northwestern part of Akure, southwestern Nigeria. Vertical electrical sounding (VES) technique of electrical resistivity method was adopted for this work. A total of 224 VES data was acquired and interpreted both qualitatively and quantitatively. Three to five geo-electric layers were delineated across the area which corresponds to four geologic layers. The resistivity of the layers varies respectively from 6.9 - 550 Ohm-m, 60 - 2500 Ohm-m, 20 - 650 Ohm-m and 220 - 7900 Ohm-m in the topsoil, weathered layer, partially weathered basement/partially fractured basement and presumed fresh basement. Likewise, the layer thicknesses also vary respectively from 0.4 - 4.0 m, 0.7 - 19.0 m and 4.0 -60 m in the topsoil, weathered layer and partially weathered basement/partially fractured basement. The results were presented as topsoil (resistivity and thickness) and weathered layer (resistivity and thickness) maps. The six parameters consisting of lithology, elevation, topsoil (resistivity and thickness) and weathered layer (resistivity and thickness) were synthesized using an additive model in order to generate the aquifer vulnerability model map. The aquifer vulnerability model map shows that the area is of very low to moderate vulnerability with 5% of the area having very low vulnerability, 30% low vulnerability and 65% moderate vulnerability. This implies that the groundwater resources in the area are moderately safe.
Examining the impact of supply chain integration on organization structure and operational performance in oil and gas supply chains : a contingency approach

Abstract This study adopts a contingency approach in order to analyze the mediating role of internal, customer and supplier integration on the relationship between organization structure (OS) (centralization, formalization and hierarchical relationship) and operational performance. Using a global sample from the oil and gas industry, this research examines the direct relationship between the dimensions of organization structure (centralization, formalization and hierarchical relationship) and operational performance. In addition the direct relationship between the dimensions of supply chain integration (SCI) and operational performance is also examined. A quantitative approach using structural equation modeling is used to test the research hypotheses. Data was collected using a questionnaire survey and explored using statistical techniques. Findings revealed that centralization, formalization, and hierarchical relationship negatively impact operational performance of oil and gas supply chains, and that SCI dimensions positively affect operational performance. By further testing for the mediation this study found that by increasing internal and external SCI, oil and gas companies can mitigate the negative effect of high centralization, formalization and hierarchical relationship, on operational performance. More specifically by classifying OS into the “structuring” and “structural” aspects, this research provides evidences on which of the two (the physical or the process) has a stronger negative impact on operational performance. From a practical point of view, it may be a difficult and daunting task for oil and gas companies to restructure and reform their OS (physical aspect), since this process might be timely and expensive to implement. Therefore oil and gas companies by investing in higher internal and external integration create more inter and intra collaboration and communication which could ultimately encourage organizational restructuring and the move towards organic structures. Therefore instead of viewing organizational theory (OS) and operations management (SCI) in isolation, this study endorses a combined approach (OS and SCI) to improve the operational performance of the oil and gas supply chains. Theoretical contributions to the field of operations management and organizational studies are provided.
Acute cholangitis due to food reflux after self‐expanding metal stent implantation without duodenal obstruction: A case report

Acute cholangitis has been reported as an uncommon adverse event after self‐expandable metallic stent (SEMS) implantation. Herein, we report a case of an acute cholangitis caused by duodenal refluxate without duodenal obstruction. A 62‐year‐old woman received SEMS for an obstructive jaundice caused by a pancreatic head adenocarcinoma. She had been in stable condition until her percutaneous transhepatic cholangial drainage (PTCD) was clamped on the second postoperative day, and when a high fever and severe right epigastric pain developed. Fecal‐impacted bowel loops were found through abdominal X‐rays, and food contents were drained from PTCD afterward. Acute cholangitis caused by SEMS migration was initially suspected, and SEMS revision was performed two times, which did not improve the chymus reflux from PTCD. Metoclopramide was given after the second SEMS revision, and post‐procedural upper gastrointestinal series with urografin shows no duodenal obstruction. No febrile event has been noted since the administration of metoclopramide. Acute cholangitis after SEMS implantation without duodenal obstruction could develop in patient with moderate to severe constipation. Prompt post‐procedural prophylactic prokinetics for few days may prevent such episodes.
A study of education and KSAOs on career entry for product engineers: What employers really want

The purpose of the study was to investigate the ways that employers of product engineers evaluate potential employees’ job readiness, and which theories related to the education-work transaction are supported by practice. This study used a mixed methods approach and consisted of a state-wide survey (N=106) and local interviews (N=8). The results of the research indicate that attributes of both the Theory of Individual Differences and Credentialing Theory are present in the hiring practices of product engineers. Consistent with the Theory of Individual Differences, employers indicate they look for evidence of various job-related Knowledge, Skills, Abilities, and Other attributes (KSAOs) and they indicate they are willing to hire applicants who have less than a bachelor’s degree. Consistent with Credentialing Theory, employers advertise a formal education minimum which represents only one way that individuals may learn to be an engineer. This study also confirmed prior research that most employers use primarily non-evidence based predictors to evaluate applicants. The primary initial screening predictors were experience, GPA, and major, while the primary finalist selection predictors were unstructured interviews, and applications, followed by structured interviews, job knowledge tests, and work sample test.
English as a medium of instruction - a growing global phenomenon

This report is an attempt to set out a global view of English Medium Instruction today. It is a bird's eye view or a snapshot of the views and issues involved when implementing EMI. The report is based on a recent worldwide survey conducted with British Council staff acting as informed respondents and covers 55 countries; countries which are promoting, resisting or sometimes even reversing EMI in schools and universities.
A Network Pharmacology Study to Uncover the Mechanism of FDY003 for Ovarian Cancer Treatment

Ovarian cancer (OC) is one of the deadliest gynecological tumors responsible for 0.21 million deaths per year worldwide. Despite the increasing interest in the use of herbal drugs for cancer treatment, their pharmacological effects in OC treatment are not understood from a systems perspective. Using network pharmacology, we determined the anti-OC potential of FDY003 from a comprehensive systems view. We observed that FDY003 suppressed the viability of human OC cells and further chemosensitized them to cytotoxic chemotherapy. Through network pharmacological and pharmacokinetic approaches, we identified 16 active ingredients in FDY003 and their 108 targets associated with OC mechanisms. Functional enrichment investigation revealed that the targets may coordinate diverse cellular behaviors of OC cells, including their growth, proliferation, survival, death, and cell cycle regulation. Furthermore, the FDY003 targets are important constituents of diverse signaling pathways implicated in OC mechanisms (eg, phosphoinositide 3-kinase [PI3K]-Akt, mitogen-activated protein kinase [MAPK], focal adhesion, hypoxia-inducible factor [HIF]-1, estrogen, tumor necrosis factor [TNF], erythroblastic leukemia viral oncogene homolog [ErbB], Janus kinase [JAK]-signal transducer and activator of transcription [STAT], and p53 signaling). In summary, our data present a comprehensive understanding of the anti-OC effects and mechanisms of action of FDY003.