Miracle-dz/UniFAR-FTUs huggingface dataset:
A Business Process view of Software: An effective measurement model to assess the operations readiness of software under construction

This paper introduces the concept of a business process based measurement framework to assess completeness and correctness of an IT platform (software) for business operations readiness. Conventional software development methods do not provide the development status in a manner that reflects the business operations readiness perspective, especially when the development is outsourced. Conventional methods report in terms of the requirements developed and the number of test cases passed. In a typical operations production setup, the operations team executes the business process and hence is able to better appreciate the state of the software under construction in terms of business process. Business users validate the business process during the acceptance testing phase, but this is a post development completion activity. Consider the common scenario where a large software development project is close to its planned development end date (that is, pre user acceptance testing phase), and there is a delay as per schedule. Now, the business needs to take a call: Go Live / Not to Go Live with the business change, as planned. This decision is critical when the business change is “time‐to‐market” sensitive. To take such a call, the business needs to have a clear understanding of the level of readiness of the software from a business operations perspective; whereas the standard measures applied to report the completion status of a software development project is the number of requirements developed and the number of test cases passed. Such a report does not provide the business with a view of the operations readiness of the software. In this paper, the author has made an attempt to provide a mechanism by which the level of completion of the software can be represented using a business process view and that in turn can measure the relative business operations readiness of the software, at any given point in time. This view can further be used as a feedback mechanism to prepare and execute the revised production rollout strategy for the software.
Brain Functional Connectivity Analysis via Graphical Deep Learning

Objective: Graphical deep learning models provide a desirable way for brain functional connectivity analysis. However, the application of current graph deep learning models to brain network analysis is challenging due to the limited sample size and complex relationships between different brain regions. Method: In this work, a graph convolutional network (GCN) based framework is proposed by exploiting the information from both region-to-region connectivities of the brain and subject-subject relationships. We first construct an affinity subject-subject graph followed by GCN analysis. A Laplacian regularization term is introduced in our model to tackle the overfitting problem. We apply and validate the proposed model to the Philadelphia Neurodevelopmental Cohort for the brain cognition study. Results: Experimental analysis shows that our proposed framework outperforms other competing models in classifying groups with low and high Wide Range Achievement Test (WRAT) scores. Moreover, to examine each brain region’s contribution to cognitive function, we use the occlusion sensitivity analysis method to identify cognition-related brain functional networks. The results are consistent with previous research yet yield new findings. Conclusion and significance: Our study demonstrates that GCN incorporating prior knowledge about brain networks offers a powerful way to detect important brain networks and regions associated with cognitive functions.
Systemic Immune-Inflammation Index (SII) Can Be an Early Indicator for Predicting the Severity of Acute Pancreatitis: A Retrospective Study

Objective Systemic immune-inflammation index (SII) is a new systemic inflammatory prognostic indicator associated with outcomes in patients with different tumors. Studies have shown an association between SII and many chronic/acute inflammatory diseases. This study aimed at exploring whether SII can be used as an effective parameter for predicting the severity of acute pancreatitis (AP). Methods A total of 101 acute pancreatitis patients were enrolled in this study (mild acute pancreatitis (MAP): n = 73 and severe acute pancreatitis (SAP): n = 28). Patient demographics and SII were analyzed using the chi-square test, Student’s t-test, and Mann–Whitney U-test. A receiver operating characteristic curve was generated to test the potential of using neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and SII to predict AP’s severity. Logistic regression analysis was performed to determine major risk factors. Results Patients with SII value ≥2207.53 had a higher probability of having SAP (sensitivity = 92.9%, specificity = 87.7%, and AUC = 0.920), and SII was a significantly better predictive value than PLR and NLR. Logistic regression analysis results showed SII could differentiate MAP from SAP as a major risk factor. Conclusion This study has shown that SII is a potential indicator for predicting the severity of acute pancreatitis. The findings suggested that SII is more sensitive and specific than NLR and PLR in predicting the severity of acute pancreatitis.
Printed circular ring monopole antennas

This paper presents a novel design of printed circular‐ring monopole antennas for ultra‐wideband (UWB) applications. A circular‐disc ring printed on a dielectric substrate and fed by a 50Ω microstrip line is demonstrated numerically and experimentally to achieve an ultra‐wide 10‐dB bandwidth with omnidirectional radiation patterns over the entire bandwidth. The design parameters and the performance of the proposed antenna are analyzed. Good agreement has been obtained between the simulation and the measurement. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 45: 372–375, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20827
THE HUMAN RELATED DIMENSIONS OF TQM PRACTISE IN SERVICE SETTINGS

This paper attempted to explore the human related aspects of TQM practices in Islamic Banking settings. Soft TQM signifies any forms of business efforts dedicated to human-related dimensions of TQM, namely, leadership and top management commitment, customer focus, training and education, empowerment, and reward and recognition. The samples of the study were 497 employees of Islamic banks located in Central Java Indonesia. The tool of analysis used in this study was descriptive statistics. The finding of the study showed that all Soft TQM dimensions were well implemented as part of Islamic banks’ quality management practices with empowerment appears to be a dominant practice. The result of the study prescribed potential implications for the management of Islamic banks in Indonesia to include human related aspect of TQM as an integral part of the company’s strategic vision to obtain higher level of employees’ commitment.
Improved diagnosis of lossy resonator bandpass filters using Y‐parameters

This article presents a generalized coupling matrix (CM) extraction technique directly from the measured or electromagnetic simulated admittance parameter (Y‐parameters) of a narrow band cross‐coupled resonator bandpass filter with losses. The characteristic polynomials corresponding to the Y‐parameters rather than the S‐parameters are derived and then determined by the Cauchy method. Once determining the characteristic polynomials, the complex poles and residues of Y‐parameters are also determined. Using these complex poles and residues, the complex CM can be obtained by a sequence of similarity transformations, and then the desired extracted CM and unloaded Q for each resonator are obtained from this complex CM. To verify the effectiveness of the proposed method, three filter CM extraction examples are demonstrated. © 2015 Wiley Periodicals, Inc. Int J RF and Microwave CAE 25:807–814, 2015.
Performance assessment of thermal management systems for electric and hybrid electric vehicles

Thermal management systems (TMS) are one of the key components of electric and hybrid electric vehicles to achieve high vehicle efficiency and performance under all operating conditions. Current improvements in electric battery technology allow vehicles to have relatively long ranges, fast acceleration, and long life while keeping low‐maintenance costs and considerably lower emissions. However, the vehicle performance is significantly affected by the battery operating conditions. Moreover, the cell life cycle, safety, and possibility of thermal runaway significantly depend on peak temperature rise and temperature uniformity of the battery. Therefore, various TMSs are created to keep batteries within ideal operating ranges. In this article, three different TMS systems—passive cabin cooling (via air), active moderate liquid circulation (via refrigerant), and active liquid circulation (via refrigerant and coolant)—are analyzed and compared with electric and hybrid electric vehicles. A second law analysis is used to examine the areas of low exergy efficiency in each system and minimize the entropy generation based on the system configuration. Moreover, TMS systems are compared on the basis of battery temperature increase and temperature uniformity. Various parametric studies are conducted to compare the TMS in different ambient and operating conditions. On the basis of the analysis, the active liquid circulation (via refrigerant and coolant) is determined to have the lowest battery temperature increase (3.9 °C in 30 min) and most cell temperature uniformity (2.5 °C median) as well as the lowest entropy generation rate (0.0121 W/K) among the compared systems. Copyright © 2012 John Wiley & Sons, Ltd.
Low-Operating-Temperature NO2 Sensor Based on a CeO2/ZnO Heterojunction

CeO2/ZnO-heterojunction-nanorod-array-based chemiresistive sensors were studied for their low-operating-temperature and gas-detecting characteristics. Arrays of CeO2/ZnO heterojunction nanorods were synthesized using anodic electrodeposition coating followed by hydrothermal treatment. The sensor based on this CeO2/ZnO heterojunction demonstrated a much higher sensitivity to NO2 at a low operating temperature (120 °C) than the pure-ZnO-based sensor. Moreover, even at room temperature (RT, 25 °C) the CeO2/ZnO-heterojunction-based sensor responds linearly and rapidly to NO2. This sensor’s reaction to interfering gases was substantially less than that of NO2, suggesting exceptional selectivity. Experimental results revealed that the enhanced gas-sensing performance at the low operating temperature of the CeO2/ZnO heterojunction due to the built-in field formed after the construction of heterojunctions provides additional carriers for ZnO. Thanks to more carriers in the ZnO conduction band, more oxygen and target gases can be adsorbed. This explains the enhanced gas sensitivity of the CeO2/ZnO heterojunction at low operating temperatures.
Association of Genes of the NO Pathway with Altitude Disease and Hypoxic Pulmonary Hypertension

Chronic intermittent hypoxia leads to high-altitude pulmonary hypertension, which is associated with high asymmetric dimethylarginine (ADMA), an endogenous inhibitor of nitric oxide synthesis. Therefore, we aimed to understand the relation of single nucleotide polymorphisms in this pathway to high-altitude pulmonary hypertension (HAPH). We genotyped 69 healthy male Chileans subjected to chronic intermittent hypoxia. Acclimatization to altitude was determined using the Lake Louise Score and the presence of acute mountain sickness. Echocardiography was performed after six months in 24 individuals to estimate pulmonary arterial pressure. The minor allele of dimethylarginine dimethylaminohydrolase (DDAH)1 rs233112 was associated with high-baseline plasma ADMA concentration, while individuals homozygous for the major allele of DDAH2 rs805304 had a significantly greater increase in ADMA during chronic intermittent hypoxia. The major allele of alanine glyoxylate aminotransferase-2 (AGXT2) rs37369 was associated with a greater reduction of plasma symmetric dimethylarginine (SDMA). Several genes were associated with high-altitude pulmonary hypertension, and the nitric oxide synthase (NOS)3 and DDAH2 genes were related to acute mountain sickness. In conclusion, DDAH1 determines baseline plasma ADMA, while DDAH2 modulates ADMA increase in hypoxia. AGXT2 may be up-regulated in hypoxia. Genomic variation in the dimethylarginine pathway affects the development of HAPH and altitude acclimatization.
Bacteriophage-Resistant Salmonella rissen: An In Vitro Mitigated Inflammatory Response

Non-typhoid Salmonella (NTS) represents one of the major causes of foodborne diseases, which are made worse by the increasing emergence of antibiotic resistance. Thus, NTS are a significant and common public health concern. The purpose of this study is to investigate whether selection for phage-resistance alters bacterial phenotype, making this approach suitable for candidate vaccine preparation. We therefore compared two strains of Salmonella enterica serovar Rissen: RR (the phage-resistant strain) and RW (the phage-sensitive strain) in order to investigate a potential cost associated with the bacterium virulence. We tested the ability of both RR and RW to infect phagocytic and non-phagocytic cell lines, the activity of virulence factors associated with the main Type-3 secretory system (T3SS), as well as the canonic inflammatory mediators. The mutant RR strain—compared to the wildtype RW strain—induced in the host a weaker innate immune response. We suggest that the mitigated inflammatory response very likely is due to structural modifications of the lipopolysaccharide (LPS). Our results indicate that phage-resistance might be exploited as a means for the development of LPS-based antibacterial vaccines.
Implications of radiation-induced dopant deactivation for npn bipolar junction transistors

Metal-oxide-silicon capacitors fabricated in a bipolar process were examined for densities of oxide trapped charge, interface traps and deactivated substrate acceptors following high-dose-rate irradiation at 100/spl deg/C. Acceptor neutralization near the Si surface occurs most efficiently for small irradiation biases in depletion. The bias dependence is consistent with compensation and passivation mechanisms involving the drift of H/sup +/ ions in the oxide and Si layers and the availability of holes in the Si depletion region. The capacitor data were used to simulate the impact of acceptor neutralization on the current gain of an irradiated npn bipolar transistor. Neutralized accepters near the base surface enhance current gain degradation associated with radiation-induced oxide trapped charge and interface traps by increasing base recombination. The additional recombination results from the convergence of carrier concentrations in the base and increased sensitivity of the base to oxide trapped charge. The enhanced gain degradation is moderated by increased electron injection from the emitter. These results suggest that acceptor neutralization may complicate hardness assurance test methods for linear circuits, which are based on elevated temperature irradiations.
Mobile Application Purchase: Comparison of Utilitarian Features between Users and Non-users

This study aims to understand how utilitarian features of a mobile application moderate purchase motivations and intentions among users and non-users. Taking a case of cinema ticket purchase in the Iranian context, this study has collected empirical data through a questionnaire from 240 respondents. Multiple regression analysis was used to analyze data. Motivational variables were grouped into four groups: functional motivations, convenience-based functional motivations, product motivations, and service motivations. In addition, the gender issue of the consumer was also considered. This study finds that such motivational factors significantly affect consumers’ motivations, both male and female consumers. Analysis on gender shows no significant differences among male and female consumers. Therefore, these factors should be considered in formulating marketing communication strategy and media management, especially for non-users. Further research should consider other motivational factors, such as hedonic motivations, attitude, and situational factors, to understand consumer behaviors comprehensively. Keywords: marketing communication, mobile application, mobile purchase, utilitarian features, mobile marketing, cinema ticket.
Peptide Sequence of Pili Subunit Protein 49.8 kDa Shigella flexneri as Antigenic Epitope for Shigellosis Vaccine Development.

Objectives This study investigates the amino acid sequence and identifies antigenic epitopes of 49.8 kilodalton (kDa) pili protein Shigella flexneri, which will be used as candidates for the shigellosis vaccine. Materials and Methods Our study is a prospectively descriptive laboratory. We used bacterial isolate of S. flexneri pili isolation was performed using a pili cutter and sodium dodecyl-sulfate polyacrylamide gel electrophoresis. The amino acid sequences were analyzed using liquid chromatography dual mass spectrometry (LC-MS/MS) method in the proteomic laboratory. The target epitope antigenicity analysis was tested using Kolaskar and Tongaonkar Antigenicity software. The Bepired Linear Epitope Prediction software is used for epitope mapping. PymOL software was used for the visualization of proteins and molecular docking. Peptides and antibodies were applied to hemagglutination test and immune response was tested using the dot blot method. Results LC-MS/MS analysis results from the mascot server showed that the 49.8 kDa pili protein is S. flexneri similar to the flagellin protein of S. flexneri 1235-66 (ID I6H2T2). The results of antigenicity analysis and epitope mapping showed that areas of protein that has the most potential and antigenic epitopes are the regions 98-111 and 263-290 with the amino acid sequences, QSSTGTNSQSDLDS (Q-S) and DTTITKAETKTVTKNQVVDTPVTTDAAK (D-K). The results of the molecular docking interaction test between the peptide and the B-cell receptor have a low binding energy. Peptide Q-S and peptide D-K antigens are hemagglutinin molecules because they can agglutinate erythrocytes. The immune response between peptide antigens and anti-peptide antibodies can react based on color gradations in the dotblot method. Conclusion The amino acid sequences Q-S and D-K are potentially antigenic epitopes. These peptides can be used to develop candidates for shigellosis vaccine.
A Spectral Element Method to Compute Earth’s Free Core Nutation

The Free Core Nutation (FCN) is a rotational mode caused by non-alignment of the rotation axis of the core and of the mantle. Its period observed by VLBI and superconducting gravimetry is around 430 sidereal days (Sd) with precision of better than 1 Sd, while its “theoretical” period calculated by traditional approaches and a given Earth model ranges from 450 to 470 Sd. Their gap of about 30 Sd is significant compared with its observation precision. We propose a spectral element method to compute the period of FCN and obtain a period of 434 Sd which is very close to the observed value.
The performance of occupancy-based lighting control systems: A review

This paper reviews the literature on occupancy-based lighting control as a prelude to the application of sensor networks to building management. Many buildings include systems to detect occupancy and control building services. Current systems use single measurement points to detect occupancy, and there can be significant uncertainty associated with the measurement of occupancy. Long time delay and high detector sensitivity settings compensate for this uncertainty, but these diminish the savings that could be achieved with more accurate occupancy measurement. More effective control may be provided by more extensive sensing, using a network of occupancy sensors, and more extensive analysis of sensor data. The literature reviewed in this paper establishes the need for an investigation of the performance of sensor networks when used for lighting control.
Smart phone menu layout for elderly users

Nowadays, smart phone have become prevalent across the world.Many functions and services offered in the smart phone are important but current smart phone more convenient and user friendly to younger generation.In addition, the current technologies do not adequately capture the smart phone pattern of the elderly and make them hurdles to adopting a smart phone.This study used OldGen Framework to obtain the suitable arrangement icons for smart phone main screen.The objectives of this study are to identify usability issues that elderly faced due to smart phone and to recommend interface design for elderly smart phone.This study used two methods which are user testing and drawing method.As a result, usability issues can be identified and recommendations of user interface design for elderly smart phone main screen.
A Study on the Convergence Analysis of the Inexact Simplified Jacobi–Davidson Method

The Jacobi–Davidson iteration method is very efficient in solving Hermitian eigenvalue problems. If the correction equation involved in the Jacobi–Davidson iteration is solved accurately, the simplified Jacobi–Davidson iteration is equivalent to the Rayleigh quotient iteration which achieves cubic convergence rate locally. When the involved linear system is solved by an iteration method, these two methods are also equivalent. In this paper, we present the convergence analysis of the simplified Jacobi–Davidson method and present the estimate of iteration numbers of the inner correction equation. Furthermore, based on the convergence factor, we can see how the accuracy of the inner iteration controls the outer iteration.
Conolidine: A Novel Plant Extract for Chronic Pain

Pain, the most common symptom reported among patients in the primary care setting, is complex to manage. Opioids are among the most potent analgesics agents for managing pain. Since the mid-1990s, the number of opioid prescriptions for the management of chronic non-cancer pain (CNCP) has increased by more than 400%, and this increased availability has significantly contributed to opioid diversion, overdose, tolerance, dependence, and addiction. Despite the questionable effectiveness of opioids in managing CNCP and their high rates of side effects, the absence of available alternative medications and their clinical limitations and slower onset of action has led to an overreliance on opioids. Conolidine is an indole alkaloid derived from the bark of the tropical flowering shrub Tabernaemontana divaricate used in traditional Chinese, Ayurvedic, and Thai medicine. Conolidine could represent the beginning of a new era of chronic pain management. It is now being investigated for its effects on the atypical chemokine receptor (ACK3). In a rat model, it was found that a competitor molecule binding to ACKR3 resulted in inhibition of ACKR3’s inhibitory activity, causing an overall increase in opiate receptor activity. Although the identification of conolidine as a potential novel analgesic agent provides an additional avenue to address the opioid crisis and manage CNCP, further studies are necessary to understand its mechanism of action and utility and efficacy in managing CNCP.