Miracle-dz/UniFAR-FTUs huggingface dataset:
Augmented Cross-Selling Through Explainable AI - A Case From Energy Retailing

The advance of Machine Learning (ML) has led to a strong interest in this technology to support decision making. While complex ML models provide predictions that are often more accurate than those of traditional tools, such models often hide the reasoning behind the prediction from their users, which can lead to lower adoption and lack of insight. Motivated by this tension, research has put forth Explainable Artificial Intelligence (XAI) techniques that uncover patterns discovered by ML. Despite the high hopes in both ML and XAI, there is little empirical evidence of the benefits to traditional businesses. To this end, we analyze data on 220,185 customers of an energy retailer, predict cross-purchases with up to 86% correctness (AUC), and show that the XAI method SHAP provides explanations that hold for actual buyers. We further outline implications for research in information systems, XAI, and relationship marketing.
Trace Clustering for User Behavior Mining

Business information systems support a large variety of business processes and tasks, yet organizations rarely understand how users interact with these systems. User Behavior Mining aims to address this by applying process mining techniques to UI logs, i.e., detailed records of interactions with a system’s user interface. Insights gained from this type of data hold great potential for usability engineering and task automation, but the complexity of UI logs can make them challenging to analyze. In this paper, we explore trace clustering as a means to structure UI logs and reduce this complexity. In particular, we apply different trace clustering approaches to a real-life UI log and show that the cluster-level process models reveal useful information about user behavior. At the same time, we ﬁnd conﬁgurations in which trace clustering fails to generate satisfactory partitions. Our results also demonstrate that recently proposed representation learning techniques for process traces can be effectively employed in a realistic setting.
Prediction of the dynamic characteristics and control of aircraft in prescribed trajectory flight

A unified and general approach to modeling and simulation of aircraft prescribed trajectory fight is presented in the paper. The program of motion is composed of a specified trajectory in space (two constraints on the aircraft position), a required fuselage attitude with respect to the trajectory, and optionally, a specified flight velocity. For an aircraft traditionally controlled by aileron, elevator and rudder deflections and thrust changes, a tangent realization of the trajectory constraints arises, which yields two additional constraints on the fuselage attitude (which thus becomes fully specified). The governing equations of the programmed motion are developed in the form of differential-algebraic equations, and a method of solving the equations is proposed. The solution consists of variations of the aircraft state variables and the required control that ensures realization of the prescribed motion program. This gives a unique opportunity to study simulated control strategies and evaluate feasibility of modeled aircraft missions. Some results of numerical simulations are reported.
Ergodic BSDEs driven by G-Brownian motion and applications

This paper considers a new kind of backward stochastic differential equations (BSDEs) driven by [Formula: see text]-Brownian motion, which is called ergodic [Formula: see text]-BSDEs. Firstly, the well-posedness of [Formula: see text]-BSDEs with infinite horizon is given by combining a new linearization method with the argument of Briand and Hu [4]. Then, in view of [Formula: see text]-stochastic calculus approach the Feynman–Kac formula for fully nonlinear elliptic partial differential equations (PDEs) is established. Finally, with the help of the aforementioned results we obtain the existence of solution to [Formula: see text]-EBSDE and some applications are also stated.
Effect of the North Paciﬁc Tropospheric Waveguide on the Fidelity of Model El Ni ñ o Teleconnections

In a free-running climate model, DJF tropical–extratropical teleconnections are assessed and compared to observed teleconnections in reanalysis data. From reanalysis, the leading mode of covariability between tropical outgoing longwave radiation (OLR) and Northern Hemisphere extratropical geopotential height (Z500) is identiﬁed using maximum covariance analysis (MCA). This mode relates closely to the El Ni ñ o pattern. The GCM captures the tropical OLR well but the associated extratropical Z500 less well. The GCM climatology has an equatorward shifted North Paciﬁc jet bias. We examine whether the difference in the teleconnection pattern is related to the GCM’s jet bias. In both a ray-tracing analysis and a barotropic model, this jet bias is shown to affect the Rossby wave propagation from the tropical Paciﬁc into the North Paciﬁc. These idealized model results suggest qualitatively that the MCA difference is largely consistent with linear Rossby wave dynamics. While the basic state has a larger effect on the North Paciﬁc MCA, a Rossby wave source (RWS) bias in the Caribbean has a larger effect on the North Atlantic MCA. The North Paciﬁc jet bias is also proposed to affect the downstream propagation of waves from North America into the Caribbean, where it affects tropical RWS and the triggering of secondary waves into the North Atlantic. We propose that climatological biases in the tropics are one underlying cause of the jet bias. Our study may also help un-derstand the results of other climate models with similar jet biases.
CASE IN POINT Insulin Injection-Site Acanthosis Nigricans: Skin Reactions and Clinical Implications

Background: Insulin injection-site acanthosis nigricans and other local cutaneous reactions may occur from repeated same-site insulin injections. The purpose of this article is to describe a case of acanthosis nigricans resulting as a localized reaction to insulin injections, review medical literature describing injection-site acanthosis nigricans resulting from same-site insulin injections, describe other injection-site cutaneous reactions related to insulin administration, and discuss clinical implications and lessons learned from the literature. Case Presentation: A 75-year-old patient with a history of type 2 diabetes mellitus presented with 2 discrete hyperpigmented plaques on the anterior abdominal wall, suggestive of acanthosis nigricans and confirmed on histopathology. These lesions were localized to the site of insulin injection and improved after the patient started rotating insulin injection sites. Conclusions: Rotation of insulin injection sites is an effective way to prevent and reduce cutaneous complications of insulin therapy. In addition to improving education regarding insulin injection technique, diabetes health care professionals should inspect injection sites at each patient encounter. Most cutaneous complications are asymptomatic but may impact glycated hemoglobin (HbA 1c ), cosmetic appearance, insulin absorption, and required dose of insulin.
Fatty acid composition profiling in the dorsal skin of Sunda porcupine ( Hystrix javanica ) 5 ( Skin Fatty Acid in Sunda Porcupine ) 6

19 The fatty acid composition in the skin of Sunda porcupine ( Hystrix javanica ) is an interesting topic due to the special features of quills, especially in the dorsal region. Therefore, this study aims to 21 analyze the composition of fatty acids in the dorsal region of Sunda porcupine skin. It was conducted 22 using skin samples of the thoracodorsal and lumbosacral regions taken by biopsies and from frozen 23 specimens. The skin lipid was extracted and then derivatized into fatty acid methyl ester before 24 analyzing with gas chromatography mass spectrometry. The results showed that the skin is composed 25 of up to 25 fatty acids ranging from C12 to C25 with various types but only 16 were found in both 26 regions and sexes. Fatty acids with an antibacterial effect were found abundantly, such as oleic, 27 palmitic, stearic, and linoleic acids. The total abundance in the thoracodorsal region was higher than 28 lumbosacral, while the composition in male was higher than in female. Based on the results, the fatty 29 acid composition in the dorsal skin region of Sunda porcupine consists of at least 16 types ranging 30 from C12-C25. Additionally, the region and sex were observed to contribute significantly to the 31 variation in skin fatty acid composition. 32
Sentiment Analysis of Dravidian-CodeMix Language

The computational examination of people’s opinions, attitudes, and emotions conveyed in written language is known as sentiment analysis or opinion mining. In recent years, it has become one of the most active study fields in natural language processing and text mining. Sentiment analysis of social media texts, which are predominantly code-mixed for Dravidian languages, is becoming more popular. In a multilingual community, code-mixing is common, and code-mixed writings are produced using native and non-native scripts. The current paper uses machine learning, deep learning, and parallel hybrid deep earning models to identify sentiments in Dravidian code-mixed social media text. The experiments were conducted using a dataset from the Dravidian-CodeMix-FIRE 2021 1 competition, which included YouTube comments in Tamil, Malayalam, and Kannada code-mixed languages.
Efficacy and safety of microwave ablation and radiofrequency ablation in the treatment of hepatocellular carcinoma: A systematic review and meta-analysis

Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors. Surgical resection is often only possible in the early stages of HCC and among those with limited cirrhosis. Radiofrequency ablation and Microwave ablation are 2 main types of percutaneous thermal ablation for the treatment of HCC. The efficacy and safety between these 2 therapy methods are still under a debate. Objective: To compare the efficacy and safety of Radiofrequency ablation and Microwave ablation in treating HCC. Methods: PubMed, EMBASE, the Cochrane databases and Web of Science were systematically searched. We included randomized controlled trials and cohort studies comparing the efficacy and safety of Radiofrequency ablation and Microwave ablation in HCC patients. Outcome measures on local tumor progression, complete ablation, disease-free survival, overall survival, or major complications were compared between the 2 groups. The random effect model was used when there was significant heterogeneity between studies, otherwise the fixed effect model was used. Results: A total of 33 studies, involving a total of 4589 patients were identified, which included studies comprised 7 RCTs, 24 retrospective observational trials, and 2 prospective observational trial. Microwave ablation had a lower local tumor progression than Radiofrequency ablation in cohort studies (OR = 0.78, 95% CI 0.64–0.96, P = .02). Complete ablation rate of Microwave ablation was higher than that of Radiofrequency ablation in cohort studies (OR = 1.54, 95% CI 1.05–2.25, P = .03). There was no significant difference in overall survival and disease-free survival between the 2 groups. Meta-analysis showed that there was no significant difference in the main complications between Microwave ablation and Radiofrequency ablation. Conclusions: Microwave ablation has higher complete ablation and lower local tumor progression than Radiofrequency ablation in the ablation treatment of HCC nodules. There was no significant difference in overall survival between the 2 therapy methods.
Association between obstructive sleep apnea (OSA) and atrial fibrillation (AF): A dose-response meta-analysis

Background: Refractory hypoxemia episodes are characteristic of obstructive sleep apnea (OSA). Patients with OSA suffer from oxidative stress in all systems. Atrial fibrillation (AF) is a type of arrhythmia that may be induced by OSA. In this study, we explored the dose-response relationship between OSA and AF. Our research provides the basis for a novel approach to AF prevention. Methods: We screened four databases (PubMed, Embase, the Cochrane Library, and Web of Science) for observational studies on OSA and AF. Studies were collected from database establishment to November 2020. We performed a traditional subgroup meta-analysis. Linear and spline dose-response models were applied to assess the association between the apnea-hypopnea index, an indicator of OSA severity, and the risk of AF. Review Manager version 5.3 software and Stata 16.0 were used for the analysis. Results: Sixteen observational studies were included in the study. We excluded a study from the conventional meta-analysis. In the subgroup analysis, the odds ratios for new onset AF for no obvious reason, new onset AF after surgical operations, such as coronary artery bypass grafting, and AF after ablation treatment were 1.71 (95% CI 1.37–2.13, P < .05), 2.65 (95% CI 2.32–3.01, P < .05), and 2.93 (95% CI 2.47–3.49, P < .05), respectively. Linear dose-response meta-analysis results revealed that the risk of AF increased with increasing apnea-hypopnea index value. Conclusion: Through dose-response meta-analysis, we found a potential dose-response relationship between OSA severity and the risk of AF. This relationship should be considered in interventions aimed at AF prevention in the future.
Risk factors for gallbladder polyps observed through second-look abdominal sonography in patients with fatty liver disease

Multiple studies have provided varied results on the relationship between gallbladder polyps (GBPs), fatty liver disease (FLD), and metabolic factors. The purpose of this study was to determine the possible risk factors related to GBP formation in Taiwanese population through the use of health examinations. In this retrospective study, 1311 subjects who underwent abdominal sonography for health evaluations from September 2019 to August 2020 were randomly enrolled. Baseline characteristics of the study subjects were recorded. Risk factors related to GBP formation were analyzed. All participants’ series of abdominal sonography examinations in our hospital were also retrospectively reviewed to reveal the presence of GBPs through second-look sonography. Among 1311 participants, 946 participants (72.2%) had clinically evident FLD, as documented using abdominal sonography; GBPs were found in 233 (24.6%) subjects with FLD. The incidence of FLD was significantly associated with the presence of GBP (P < .001; OR: 4.16, 95% CI: 10.67–35.55). However, the severity of FLD was not found to be associated with GBP (P = .052). In a multi-variate analysis for risk factors for GBP formation, FLD (P < .0001, OR = 4.262, 95% CI: 2.17–8.34), younger group (P = .002; OR: 0.973, CI: 0.95–0.99), and alcohol consumption (P = .009; OR: 3.368, CI: 1.34–8.42) showed statistical significance. Among 1049 subjects in the nonGBP group, 56 (5.34%) persons were found to have had a GBP at least once in the other series of abdominal sonographies (P < .0001). Conclusion: FLD, older age group, and alcohol consumption are major risk factors of GBP formation in Taiwanese population. The presence of GBPs might be revealed in second-look examinations of abdominal sonographies.
Low-Cost and High-Performance 5-Bit Programmable Phased Array at Ku-Band

|We present a low-cost and high-performance 5-bit programmable phased array antenna at Ku-band, which consists of 1-bit recon(cid:12)gurable radiation structures, digital phase shifters, and a coplanar waveguide feeding network. The 1-bit recon(cid:12)gurable radiation structure utilizes symmetric geometries and PIN diodes to form stable 180 ◦ phase diﬀerence. The digital phase shifter provides 168.75 ◦ phase diﬀerence and together with the radiation structure form a 348.75 ◦ phase coverage. The antenna operates between 14.4 and 15.4 GHz, and the overall array contains 24 (cid:2) 2 elements with each of them being individually addressable. By changing the states of the diodes and thus adjusting the phase coding sequences of the array, the antenna achieves 0 ◦ {60 ◦ precise beam scanning at 14.8 GHz, with the sidelobe level, cross-polarization, and gain (cid:13)uctuation being less than (cid:0) 16 dB, (cid:0) 26 dB, and 2.4 dB, respectively. A prototype was fabricated to verify the design, and the measurement results agree well with simulations. Compared with traditional phased arrays composed of numerous phase shifters and T/R components, the proposed antenna features high performance, high (cid:13)exibility, low pro(cid:12)le, and low cost. The antenna provides a new and feasible solution of wavefront steering and will bene(cid:12)t the various application scenarios.
Nutritional status and high adherence to the Mediterranean diet in Colombian school children and teenagers during the COVID-19 pandemic according to sex JOURNAL OF NUTRITIONAL SCIENCE

The current COVID-19 pandemic has generated a series of changes in the daily routines of people, including children and teenagers, in an unprecedented way, which constitutes a global challenge in public health. Social isolation has been a prophylactic measure to prevent the spread of the virus; however, it has generated negative impacts on the physical and emotional health of parents, caregivers, children and teenagers around the world. The objective of the present study was to evaluate the effects of con ﬁ nement caused by the COVID-19 pandemic at the level of nutritional status, dietary and behavioural patterns of elementary school children and teenagers in a small town of Colombia. Anthropometric parameters such as BMI Z -score, waist circumference and waist/height ratio were evaluated in 266 school children and teenagers. A questionnaire with socio-demographic, clinical and lifestyle characteristics and the KIDMED were applied to learn about nutritional aspects. A total of 102 students (38 ⋅ 3 %) were classi ﬁ ed as having altered nutritional status, being 39 (14 ⋅ 7 %) classi ﬁ ed as overweight and 36 (13 ⋅ 5 %) with obesity. The prevalence of high adherence to the Mediterranean diet was 12 %, 95 % CI (0 ⋅ 08, 0 ⋅ 16). Overweight was more prevalent in women (26/39, 66 ⋅ 7 %; P = 0 ⋅ 0439), and obesity was discreetly more frequent in men (19/36, 52 ⋅ 7 %; P = 0 ⋅ 7193). We observed a worrying nutritional, dietary and behavioural situation in the children and teenagers studied during the con ﬁ nement associated with the COVID-19 pandemic. This unveils the need to establish strategies and/or public policies in our town that help to promote an adequate biopsychosocial development of the paediatric patient and their family group.
System Description for the CN-Celeb Speaker Recognition Challenge 2022

CN-Celeb is a popular Chinese data set used for speaker recognition. In response to The CN-Celeb Speaker Recognition Challenge 2022 (CNSRC 2022), improving the speaker recognition effect of CN-Celeb, we participated in the task1 of CNSRC 2022, which only used CN-Celeb1 & 2 [1,2] data sets for training. This paper mainly makes efforts in two aspects: applying scenario information and using the Self-Supervised Learning (SSL) model to the speaker recognition system. Compared to the SSL model, scenario information, named domain embedding, is more effective. We integrate speaker embedding and speaker scenario information abstracted as word embedding and puts forward several back-end processing methods. These methods are more suitable for each registered speaker with multiple enroll utterances. Moreover, data augmentation is also investigated. Experiments show that concatenating and averaging each utterance’s domain embedding dimensions of multiple registered speakers with data augmentation shows better performance. Our proposed method effectively reduces 21.3% and 21.5% on EER and minDCF(P=0.01), respectively, compared with the baseline system. Moreover, we did not observe improvement by using SSL as reported in previous works, and the possible reasons and analysis are also given in this paper.
The New Normal: Student Perspectives on Supportive University Policies during COVID and Beyond

In light of an emerging mental health crisis and the increasing diversity of the student body in undergraduate engineering education, this qualitative study explores student perceptions of university support regarding their wellbeing. We conducted focus groups with 16 undergraduate engineering students from a large R1 public minority-serving institution. Our participants largely perceived university personnel and resources as an insignificant source of support regarding their wellbeing. The findings on the lack of perceived support are organized by departmental and university-level influences. The students also identify areas for improvement that have posed barriers to their awareness and utilization of university supports and services and to their overall wellbeing. The method of soliciting student perspectives has implications for institutions wanting to examine their own practices and policies in order to better support students' whole selves. © 2022 American Society for Engineering Education.
Causal Document Retrieval: An Analytical Investigation

In recent times, the extraction of semantic relation has become extremely useful for the tasks of information retrieval, question answering, decision making, and event prediction. There are a number of relationships such as cause-effect, if-then, part-whole, and etc., that express essential information about how different events or entities are anticipated in relation to one another. Cause-effect relationships, in particular, are considered to play an important role in human cognition due to their ability to leverage decision-making. In this paper, we have investigated the potential of neural network-based language representation models such as the BERT model and the Apache Nutch for the task of causal documents retrieval. The BERT model transformed the sequence of words into fixed-size embedding vector and used cosine similarity for relevance measurement. In comparison, the Apache Nutch is just a keyword matching approach and used an AND search module to retrieve news articles that match the user’s query. When it came to performance, the BERT model was the worst, while Apache Nutch showed some positive results.
Intrusion Detection in Internet of Things With MQTT Protocol—An Accurate and Interpretable Genetic-Fuzzy Rule-Based Solution

This article addresses the problem of an accurate and interpretable intrusion detection in Internet of Things (IoT) systems using the knowledge-discovery data-mining/machine-learning approach proposed by us. This approach—implemented as a fuzzy rule-based classifier—employs our generalization of the well-known multiobjective evolutionary optimization algorithm to optimize the accuracy-interpretability tradeoff of the IoT intrusion detection systems (IoT IDSs). The main contribution of this work is the design of accurate and interpretable IoT IDSs from the most recently published data—referred to as MQTT-IOT-IDS2020 data sets—describing the behavior of an MQTT-protocol-based IoT system. A comparison with seven available alternative approaches was also performed demonstrating that the approach proposed by us significantly outperforms alternative methods in terms of interpretability of intrusion-detection decisions made while remaining competitive or superior in terms of the accuracy of those decisions.