Miracle-dz/UniFAR-FTUs huggingface dataset:
Day-to-Day Choice to Commute or Not by Bicycle

This paper, using longitudinal data for 633 part-time bicycle commuters, investigates day-to-day decisions to commute by bicycle. Previous research has investigated mode choice, travel destination, and other travel choices for 1 day only. However, it cannot be assumed that travel choices do not vary from day to day and that most individuals travel by the same transportation mode every day. Day-to-day decisions to cycle are affected by work characteristics, commute journey characteristics, and weather conditions. More specifically, workers wearing business attire, needing to transport goods, needing a car during office hours, having longer commute distances, commuting in the dark, and facing a higher wind speed or a more or longer duration of rain are less likely to commute by bicycle. Positive effects were found for temperature and the duration of sunshine. The results show that factors that can differ on a daily basis largely influence bicycle mode choice from day to day. The results show that two groups of part-time cyclists exist: occasional cyclists and frequent cyclists. Whereas the decisions of occasional cyclists to commute by bicycle are more affected by positive weather conditions, frequent cyclists are discouraged from cycling by more practical barriers, including wind speed and the need to be at multiple locations.
AI knowledge model for self-organizing conflict prevention/resolution in close free-flight air space

An artificial intelligence (AI) knowledge model is proposed as a basis for automated conflict management in close free-flight air space. A conceptual framework of the model is developed. The problem of air traffic control (ATC) within a group of potentially conflicting vehicles is represented as an autonomous, self-organizing process. This process incorporates the principles of collective behavior observed in nature (bird flocking, fish schooling, insect swarming, etc.) and comprehensive knowledge of the "pilot vehicle-operational environment" system dynamics derived from special computer experiments. Through this process, real-time knowledge-based predictions of near term flight paths are made to prevent and resolve conflicts in a group of vehicles under normal and demanding conditions. The model may be useful for prototyping intelligent technologies for assisted and automatic collision avoidance in close air space.
Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers

Charging coordination is employed to efficiently serve electric vehicle (EV) charging requests without overloading the distribution network. Parameters such as parking duration, battery state-of-charge (SoC), and charging amount are provided by EVs to the charging coordination center to schedule their charging requests efficiently. The existing literature assumes that the customers always provide correct information. Unfortunately, customers may provide false information to gain higher charging priority. Assessing the impact of cheating behavior represents a significant and open problem. Herein paper, the impact of providing false information (e.g., parking duration) on the efficiency of the charging coordination mechanism is investigated. The charging coordination strategy is formulated as a linear optimization problem. Two different objectives are used to assess the impact of the objective function on the amount of performance degradation. Our investigations reveal that the degradation of the efficiency of the charging coordination mechanism depends on the percentage of cheating customers and cheating duration versus the typical parking duration. In addition, the impact of cheating behavior increases with the number of deployed chargers. Thus, the severity of the cheating impact will increase in the future as more fast chargers are allocated in charging networks.
A study on operation of ETC (electronic toll collection)

The electronic toll collection (ETC) enables nonstop toll collection at tollgates, which is expected to reduce traffic jams at tollgates. We investigated the effect of introducing the ETC by traffic amount analyses using a simulator. As a result, it will be most effective to introduce the mixed lanes available to both non-ETC vehicles and ETC vehicles and switch the type of lanes between conventional/mixed/ETC-vehicle-only lanes in accordance with the traffic volume and percentage of ETC vehicles.
A highly efficient 1.9-GHz Si high-power MOS amplifier

A 1.9-GHz Si power MOSFET with 50% power-added efficiency and 0.3-1.0 W output power at a 3-5 V supply voltage has been developed for use as a high-power amplifier in cellular telephones. This MOSFET achieves high efficiency and high-power gain at low supply voltage by using a 0.5-/spl mu/m gate power MOSFET with an Al-shorted metal-silicide/Si gate structure, which improves the cut-off frequency and reduces the on-state resistance.
Therapeutic termination of pregnancy and women’s mental health: Determinants and consequences

The therapeutic termination of pregnancy (TToP) is an induced abortion following a diagnosis of medical necessity. TToP is applied to avoid the risk of substantial harm to the mother or in cases of fetal unviability. This type of induced abortion is provided after the second semester of gestation if fetal illness or the pregnancy cause physical danger or pathological mental distress to the mother. Socio-cultural and economic determinants could influence the desire for children and family planning in couples, as well as the use of effective contraception and the choice to perform an induced abortion. Also, pre-existing mental health problems could affect the decision between carrying on a problematic pregnancy or having TToP. Furthermore, the TToP is a reproductive event with an important traumatic burden, but also with an intrinsic therapeutic effect and it can produce different psychological and psychopathological effects on women and couples. The aim of this review is to evaluate what demographic, reproductive and psychopathological determinants are involved in the choice of undergoing a TToP in women. Also, we will examine both positive and negative consequences of this procedure on women’s mental health, underlying which factors are related to a worse outcome in order to provide the best clinical support to vulnerable groups.
TQM, knowledge management and collaborative commerce adoption: A literature review and research framework

This article discusses the influence of total quality management (TQM) and knowledge management (KM) on collaborative commerce (c-commerce) adoption. An extensive review of literature was carried out to develop an integrated model of TQM and KM to examine the influence of TQM and KM on c-commerce adoption. The findings provide a basis for developing a model to advance the TQM, KM and innovation adoption research literature. This study proposes a new integrated model which includes practices from both TQM and KM theories to examine if these practices will result in an improvement in the adoption of c-commerce. Organisations intending to adopt or increase the level of adoption of c-commerce will be able to make managerial decisions based on TQM and KM practices from this research. The study makes a significant contribution by combining TQM and KM models as a methodological example which is useful for practitioners to track the degree of TQM and KM effects on c-commerce adoption. This model can be used by companies to do a pre-test baseline measurement, and then periodically reassess the effects of any TQM and KM change.
Classification of Criminal Data Using J48-Decision Tree Algorithm

ABSTRACT In recent years, amount of crime has become a serious problem in most of the countries. Now a day’s criminals have maximum use of modern technologies to commit the crime and investigators on the other hand are still using traditional manual processes, for example First Information Report (FIR) to analyze the suspect of the crime. Crime investigation becomes time consuming and tedious task with existing investigation techniques. Large amount of information is collected during investigation process. Extracting only useful information from it is a challenging task if done manually. Crime investigation process needs to be faster and efficient. Crime is an interesting domain where data mining plays an important role in terms of prediction and analysis. This paper presents a detailed study on a J48 - decision tree algorithm for predicting a crime suspect and overall analysis of crime data. This study also helps investigators for better prediction and classification of crime and criminal data. damage o
Continuous Inspection A Pattern for Keeping your Code Healthy and Aligned to the Architecture

Agile software development methodologies are primar ily an iterative and incremental development process usually done in short sprints allowing the requirements and software to evolve based upon core business needs. This is done through a close collaboration between self- organizing and cross- functional teams. Larger systems can evolve with bu siness needs over many months and years including enterprise architecture. When this happens, it is important to make sure the core principles of the a rchitecture are maintained or else the system can evolve to something that can be hard to maintain. This paper examines the Continuous Inspection pattern th at can help insure that as the systems evolves using an agile development proc ess, new code can evolve to still map well to the expected architecture.
A new method of frequency compensation for bipolar Wilson current mirror

This paper proposes a new method of frequency compensation for a bipolar Wilson current mirror. The mirror is, first, modified: a resistor is inserted into the collector circuit of the diode-connected transistor, and another resistor of equal value is added into the emitter circuit of the same transistor. A compensation capacitor is connected between the collector and base of the feedback transistor. It is shown that the modification produces a pole-zero pair in the current-source transfer function. The split between pole and zero is reduced when the resistor value increases. This results in a wider bandwidth of the mirror transfer function and a faster step-transient response. These improvements are paid for in a small degradation of noise performance.
Outcomes of patients with borderline resectable and resectable pancreatic adenocarcinoma treated with neoadjuvant three-week course chemoradiotherapy using capecitabine-based versus gemcitabine-based concurrent chemotherapy.

Background Neoadjuvant chemoradiotherapy can provide downstaging and improve margin negativity for borderline resectable and resectable pancreatic adenocarcinoma [(B)RPC]. Little is known about the relative efficacy of capecitabine (CAPE)-based vs. gemcitabine (GEM)-based 3-week chemoradiation (3WCRT) with 36 Gy in 15 fractions. This study aimed to compare the odds of achieving surgical resection, time to progression (TTP), and overall survival (OS) of patients treated with 3WCRT with concurrent CAPE versus GEM. Methods A retrospective cohort study was conducted, examining medical records from a single center for patients with (B)RPC treated with 3WCRT between 1/2009-12/2020. Odd ratios (OR) of achieving surgical resection were estimated using logistic regression for univariable and multivariable analyses. Median TTP (mTTP) and median OS (mOS) were estimated using the Kaplan-Meier method. Cox proportional hazards analysis was conducted to estimate hazard ratios (HR) of progression and survival in univariable and multivariable analyses. Results Thirty-one patients were included in the analysis. Twenty-two (71%) patients were treated with CAPE, while 9 (29%) were treated with GEM. All patients in the GEM group were borderline resectable, vs. 18 (82%) patients in the CAPE group, P=0.30. Nineteen (86%) patients in the CAPE group were treated with neoadjuvant FOLFIRINOX, vs. 4 (44%) patients in the GEM group, P=0.03. The CAPE group had higher odds of achieving surgical resection [OR =9.33; 95% confidence interval (CI): 1.50-58.20]. Adjusting for covariates, the odds of achieving surgical resection were still statistically higher in the CAPE group vs. the GEM group (OR =25.34; 95% CI: 1.14-563.72). The CAPE group had superior mTTP compared to the GEM group (15.4 months, 95% CI: 4.9-71.1 vs. 4.0 months, 95% CI: 0.4-14.5; P=0.01), corresponding to a hazard ratio of 0.33 (95% CI: 0.14-0.81). Adjusting for covariates this effect persisted; the adjusted hazard ratio (AHR) for progression was 0.24 (95% CI: 0.08-0.77). Cox proportional hazards analysis also demonstrated that the CAPE group had superior OS compared to the GEM group in unadjusted (HR =0.13; 95% CI: 0.04-0.40) and adjusted models (HR =0.13, 95% CI: 0.03-0.52). Conclusions For neoadjuvant 3WCRT, this hypothesis-generating study suggests concurrent CAPE may be a more effective radiosensitizer than GEM for patients with (B)RPC.
Dynamic plantar pressure distribution of type 2 diabetic patients native Chinese

Diabetes mellitus has become a worldwide problem. In 2000, according to the WHO, at least 171 million people worldwide suffer from diabetes, and it is estimated that by the year 2030, this number will almost double to 366 million. By 2007, the number of diabetic patients in China is up to 39.8 million, and in which 93.7% was type 2 diabetes. Diabetes mellitus can cause a lot of complications, and foot complication is among the most serious and costly complications. Overall, 20–40% of people with diabetes are estimated to have neuropathy and about 5% have a foot ulcer (Kumar et al. 1994). Foot ulcers are documented to precede approximately 85% of all diabetic amputations. Higher plantar pressure has been prospectively linked to ulcer formation in those with diabetes (Veves et al. 1992). It has been well documented that pressures under the foot in those with diabetes are higher than those without diabetes (Lavery et al. 2003, Stess et al. 1997). But few studies have examined type 2 diabetic patients native Chinese. More studies are needed in this field.
Practical utilisation of the load shifting potentials in a rural Austrian municipality - evaluation and conclusions

The project GAVE (Grosschonau as virtual energy storage) focuses on feasibility of technology for automated demand response (or demand side management, load management). This technology can be seen as one of the key instruments in future smart power grids. While control of generation units is still relatively straight forward as a reduction in power generation simply reduces the revenues, the situation on the demand side is much more complex. Therefore, GAVE aims to analyse the effectiveness and the user acceptance of automated demand response in an Austrian setting. The object under study is a municipality in Lower Austria. A part of the public energy customers in the municipality is equipped with sensors and actuators that allow conducting real load management. These consumers take part in a municipality-wide experiment. The operation of the specially equipped demand processes is measured and the data is fed into an evaluation process. Within the evaluation, the results of demand response measurements conducted at only a few sites due to cost restrictions is scaled up on the total municipality load in order to gain insights on the effectiveness of the demand response measures. It is aimed to determine the achievable load shift potential under the constraint that user comfort must not be affected.
Using 2-Lines Congruent Sets for Coarse Registration of Terrestrial Point Clouds in Urban Scenes

The registration of terrestrial point clouds is a crucial technique to obtaining the entire scene geometry. However, urban scenes, characterized by repetitive components, symmetrical structures, and object occlusion, pose ambiguity challenge of matches in the accurate registration of terrestrial point clouds. This article proposes a coarse registration approach using 2-lines congruent sets (2LCS) for urban point clouds. 3-D line features are extracted in the point clouds and classified into two categories according to directions. With that, a pair of 3-D line features from different categories is selected in the target point cloud to construct the 2-lines base with significant geometric characteristics. Next, the congruent 2-lines bases are identified in the source point cloud using geometric constraints, leading to the 2LCS. The 2LCS are then used to estimate the rigid motion between pairwise point cloud, leading to a set of candidate transformation parameters. The largest common point (LCP) set and maximum line structure consistency (MLSC) are integrated to evaluate the transformations. Finally, the procedure is repeated based on the RANSAC scheme to achieve optimal transformation values. We applied the proposed method to nine urban scenes with varying conditions and compared its performance with other state-of-the-art methods. The results show that our proposed approach is more robust for registering terrestrial point clouds in urban scenes with repetitive components, symmetrical structures, and limited overlap, leading to optimal or near-optimal results after fine registration optimization.
Analysis of Chromosome 3P Genes Associated With Clinical Staging of Small Cell Lung Cancer and Prediction of Targeted Drugs

BackgroundNowadays, the diagnosis of small-cell lung cancer (SCLC) remains a great challenge. Changes in the chromosome 3p (chr3) gene are usually observed in the pathogenesis of lung cancer, which seems to imply that these chr3 genes may be a diagnostic marker in the early stage of SCLC. MethodsBased on Differentially expressed genes (DEGs) screening analysis, Weighted gene co-expression network analysis, and Receiver operating characteristic (ROC) curves, this study explored the diagnostic value of the chr3 gene obtained from the University of California Santa Cruz Genome Browser Database in SCLC. Meanwhile, quantitative real-time Polymerase Chain Reaction (qRT-PCR) was used to reveal the expression patterns of diagnostic biomarkers in Human pulmonary alveolar epithelial cells and the SCLC cell line NCI-H146. The potential pathways involved in the diagnostic biomarkers were investigated by a single-gene Gene Set Enrichment Analysis (GSEA). Furthermore, drugs regulating the expression levels of diagnostic biomarkers were predicted by the Comparative Toxicogenomics Database (CTD). ResultsWe identified a total of 33 differentially expressed chr3 (DE-chr3) genes and 1156 hub genes associated with clinical features of SCLC, and functional enrichment analysis showed that all of these genes were significantly enriched in the cell cycle terms. Ultimately, the area under curve of the ROC curve demonstrated that the overlapping genes of the DE-chr3 genes and the hub genes, CDC25A, FYCO1, and RFTN1, were relatively accurate in distinguishing normal from SCLC samples, which were considered to be diagnostic biomarkers. CDC25A was overexpressed in SCLC samples, while FYCO1 and RFTN1 were highly expressed in normal samples, as evidenced by qRT-PCR results. Single-gene GSEA showed that diagnostic biomarkers were significantly associated with cell cycle, ABC transporter, immune cell differentiation, immune response, and multiple respiratory disease pathways. Further, a total of 141 drugs were predicted by the CTD to modulate the expression of diagnostic biomarkers, of which 8 drugs were the shared drugs for 3 diagnostic biomarkers.ConclusionsThis project provided 3 novel and powerful diagnostic biomarkers for SCLC based on the chr3 genes. Meanwhile, a guideline for the development and selection of drugs for clinical treatment based on diagnostic biomarkers was also included.
Tamanho das Empresas, Interação com Universidades e Inovação

Este artigo apresenta um exercicio econometrico relacionado a hipotese schumpeteriana de que a tendencia a inovar cresce com o tamanho da empresa para um conjunto especifico de empresas que interagem com universidades e institutos de pesquisa. Os resultados sugerem que empresas grandes tendem a ser mais inovadoras que as micro e pequenas empresas quando se trata de inovacoes de produto. Entretanto, essa vantagem de tamanho nao se verifica quando sao tratadas inovacoes de processo. Firm Size, Interaction with Universities, and Innovation Abstract: This paper tests the schumpeterian hypothesis that innovation increases with firm size. The test is performed for a specific set of firms that interact with universities and research institutes. The results suggest that big firms tend to be more innovative in products than small ones. However, this advantage of firm size is not observed for process innovation. Key-words: firm size; innovation; university-firm interaction. JEL: L25.
Public service improvement with user-centric service composition

In recent years, public organisations have been challenged to offer electronic services. This has caused a proliferation of disconnected web sites or web portals, often reflecting the internal structures (departments or sections) of these organizations. This paper shows that electronic public services can be improved if these services are designed based on the citizens’ life events, and are supported by a user-centric dynamic service composition approach. A user-centric service composition approach aims at creating orchestrations of available public services at runtime, according to the requirements of the citizens that ultimately use these services. This paper presents, evaluates and justifies our service composition approach, and discusses the prototype that we developed to demonstrate and evaluate this approach. It also shows that the life events strategy supported by our user-centric service composition approach is able to improve the overall experience of public services.
An Unequal Fan-Shaped Cluster Routing Protocol for Wireless Sensor Networks

A cluster-based network topology can increase the scalability and lifetime. However, the area around the Sink node forms a bottleneck zone due to heavy traffic-flow, which limits the network lifetime in WSN, the energy of the nodes closer to the sink node is depleted very quickly and the network die early, so it is important to ensure that the network energy dissipation is balanced. In this paper, an unequal fan-shaped clustering (UFC) model was proposed, which can lead to more uniform energy dissipation among the entire network, thus increasing network lifetime. The results show that UFC can lead to more uniform energy dissipation in a homogeneous network and prolong network lifetime.