Miracle-dz/UniFAR-FTUs huggingface dataset:
The relationship between hidradenitis suppurativa and irritable bowel syndrome: a cross-sectional study

Background/aim Irritable bowel syndrome (IBS) is a functional gastrointestinal disorder in which one experiences abdominal pain, tension, cramping, bloating, and changes in the form and frequency of defecation, without an underlying organic disease. Many skin diseases have been reported to be more common in people with functional bowel disease. To our knowledge, however, no previous study investigated the potential relationship between hidradenitis suppurativa (HS) and IBS. In this study, we aimed to examine the potential association between IBS and HS. Materials and methods Patients with HS and healthy subjects were enrolled in this cross-sectional study. All participants were assessed for the presence of IBS. ROME IV criteria were used to identify IBS cases. Hurley staging, modified Sartorius score, and physician’s global assessment score were applied to define clinical severity and staging of HS. Results According to the Rome IV diagnostic criteria, 54 (67.50%) of 80 HS patients and 23 (28.75%) of 80 control group were diagnosed with IBS. The frequency of IBS was statistically significantly higher in the patient group than in the control group (P < 0.001). No statistically significant difference was found between the two groups in terms of abnormal stool frequency and family history of IBS (P = 0.28, P = 0.862, respectively). Abnormal stool form, mucus in stool, abdominal distension, feeling of incomplete evacuation were statistically significantly higher in HS patients compared to the controls (P = 0.01, P = 0.02, P < 0.001, P = 0.001, respectively). Conclusion Our study revealed that there might be a potential link between HS and IBS.
Three-terminal tandem solar cells combining bottom interdigitated back contact and top heterojunction subcells: a new architecture for high power conversion efficiency

We present the design of a new architecture of three-terminal photovoltaic tandem solar cells. It combines an interdigitated back contacted bottom lateral subcell with a heterojunction vertical top cell. In this concept, the two subcells can work independently and there is no need for tunnel junctions. It is particularly well suited to silicon back contact subcells and to various types of top cell materials from III-V compounds or perovskites. The working principle is detailed here using as an example a p-i III-V front stack onto n-type silicon bottom cell. We perform 2D modeling using realistic material input parameters and show how interface bandgap engineering can improve the tandem cell efficiency up to a realistic 35% value. The proposed cell concept named BESTT (Bandgap Engineered Smart Silicon Three-Terminal) cell can be realized with less technological steps and at a lower cost compared to the conventional four-terminal process. REMARKS: We chose TOPIC 1.2 because we present here a new concept for photovoltaic cell. The work of this submission concerns a new three-terminal architecture of tandem cell on silicon.
Relationship between pharmacy students’ resilience scores and their leadership, work experience and academic performance

The goal is to examine if there is a relationship between students’ Resilience Scale for Adults (RSA) Scale scores, demographics, work experience, leadership style, personality types and academic performance. Three cohorts of third-year pharmacy (P3) students completed the RSA and demographic questions. Students’ academic performance, work experience, leadership preferences and demographics were compared. Over 850 students from three cohorts scored on five RSA dimensions – personal competence (4.10 ± 0.58), social competence (3.64 ± 0.75), family coherence (4.18 ± 0.73), social support (4.47 ± 0.59) and personal structure (3.93 ± 0.70) (5 = highest resilience). Social competence and personal structure scores were statistically significantly different from other dimensions. Students with greater work experience, preference for leadership and extroverted personality types had higher scores in social competence and personal structure. Based on this research, it is essential to foster leadership development and encourage work experience to support students in building relationships (social competence) and improving organizational skills (personal structure), since the lowest RSA scores were in these two domains.
Gait Characterization and Analysis of Hereditary Amyloidosis Associated with Transthyretin Patients: A Case Series

Hereditary amyloidosis associated with transthyretin (ATTRv), is a rare autosomal dominant disease characterized by length-dependent symmetric polyneuropathy that has gait impairment as one of its consequences. The gait pattern of V30M ATTRv amyloidosis patients has been described as similar to that of diabetic neuropathy, associated with steppage, but has never been quantitatively characterized. In this study we aim to characterize the gait pattern of patients with V30M ATTRv amyloidosis, thus providing information for a better understanding and potential for supporting diagnosis and disease progression evaluation. We present a case series in which we conducted two gait analyses, 18 months apart, of five V30M ATTRv amyloidosis patients using a 12-camera, marker based, optical system as well as six force platforms. Linear kinematics, ground reaction forces, and angular kinematics results are analyzed for all patients. All patients, except one, showed a delayed toe-off in the second assessment, as well as excessive pelvic rotation, hip extension and external transverse rotation and knee flexion (in stance and swing phases), along with reduced vertical and mediolateral ground reaction forces. The described gait anomalies are not clinically quantified; thus, gait analysis may contribute to the assessment of possible disease progression along with the clinical evaluation.
Malware detection method based on image analysis and generative adversarial networks

Malware detection is indispensable to cybersecurity. However, with the advent of new malware variants and scenarios with few and imbalanced samples, malware detection for various complex scenarios has been a very challenging problem. In this article, we propose a malware detection method based on image analysis and generative adversarial networks, named MadInG, which can improve the accuracy of malware detection for insufficient samples, sample imbalance, and new variants scenarios. Specifically, we first generate fixed‐size grayscale images of malware to reduce the workload of feature engineering or the involvement of domain expert knowledge on malware detection. Then we introduce auxiliary classifier generative adversarial networks into malware detection to enhance the generalization ability of the detector. Finally, we construct a variety of malware scenarios and compare our proposed method with existing popular detection methods. Extensive experimental results demonstrate that our method achieves high accuracy and well balance in malware detection for different scenarios, especially, the detection rate of malware variants reaches 99.5%.
Assessment of structural changes in proteins and surrounding water molecules in solution according to SAXS and MD data

87.15. B-A BSTRACT The SASPAR program for calculation of SAXS of proteins in solution uses trajectories of molecular dynamics (MD) and an explicit solvent model. The program allows one to take into account real interactions of solvent molecules both between each other and with the protein molecule. The previously developed SASCUBE program (the “cube method”) is also used, it assumes that the protein structures in crystal and in solution coincide, and the water surrounding the proteins is considered as a homogeneous continuum. Using these programs, SAXS curves were calculated for 18 proteins of different molecular weights and then compared with one another and with the corresponding experimental scattering curves. “Vacuum” SAXS curves (i.e., without taking into account the surrounding water) were also calculated for each protein for two approaches: a) based on the coordinates of protein atoms in crystal and b) based on the coordinates of protein atoms for each MD frame with further averaging of the intensities from all the frames. 1) It was shown that for the 14 single-domain proteins considered, the “vacuum” scattering curves calculated by two methods coincide well for almost each protein. Hence, the structure of the studied proteins in a solution is similar to their structure in a crystal and, therefore, the presence of the surrounding water molecules does not alter the protein structure itself signiﬁcantly. The SASPAR- and SASCUBE-curves coincide well only in two cases (i.e., water is only slightly structured near the protein surface), but in the other cases these curves are markedly different, which indicates the structuredness of the water near the protein surface, although to a different extent. 2) It was shown that for the 4 multi-domain proteins considered, their “vacuum” scattering curves, calculated with the two methods indicated above, differ noticeably, which is an evidence that their crystalline and “water” structures are different. It was also shown that the most of the calculated curves coincide well with the experimental ones. for the assistance with
Local penetration‐free control approach against numerous changes in PV generation level in MAS‐based protection schemes

Despite the increasing attention paid to multi-agent systems (MASs), their applications in protection schemes of distribution networks would face serious challenges when the generation level of photovoltaic (PV) systems is significantly increased, i.e. the inherent variable generation of PV systems would not only increase the communication burden, but it can also cause protection miscoordination. To solve this problem, this study first classifies the protection tasks into two hierarchical categories as the ‘first-control-level’ and ‘second-control-level’ functions, where the first group is responsible for the urgent task of fault clearing, and the second group updates protection settings in the event of network/generation changes. Given clearing the fault should be accomplished as soon as possible, the first-control-level functions are designed to require the least possible data communication. Presenting a penetration-free approach, the study next describes the mechanism of managing the various generation-change events through a first-control-level function. Therefore, communication failure, as well as protection miscoordination risks, would be mitigated. Finally, the effectiveness of the proposed method is demonstrated using a practical PV-integrated distribution network. This study tackles an important challenge in the protection of distribution systems with a high level of distributed generation penetration where MAS-based schemes are applied.
PVDF Energy Harvester for Prolonging the Battery Life of Cardiac Pacemakers

Patients who have an implantable cardiac pacemaker that survive beyond the operational life of the device require replacement surgeries that increase healthcare costs and may possibly introduce post-operative complications such as infection. In this paper, we propose a piezoelectric energy harvester design for powering pacemakers to extend their operational life. The design uses a thin strip of piezoelectric PVDF that captures energy from bending of the lead wire. We assemble a prototype to validate a finite element model, and then use the finite element model to characterize the power output of the design based on a cantilever beam loading condition, where displacement at the cantilever tip simulated heart motion. The voltage output from the prototype was compared to the output from the finite element simulation and the finite element simulation provided a good estimate of the voltage output. Further finite element analysis showed that for a 10 cm long section of the proposed design, a 9.1 mm tip displacement provided a power output of 1 μW and a voltage output of ±1.4 V during each cycle.
Fast Calculation of Carrier Harmonic Loss in Permanent Magnet of IPMSM Under PWM VSI Supply Over Entire Working Range

A method for fast calculating the high-frequency harmonic loss (HFHL) in the permanent magnet (PM) of interior PM synchronous machine under the pulsewidth modulated voltage source inverter supply is proposed. The combination of the frozen differential reluctivity tensor method and the linear frequency finite-element analysis (FEA) is proposed to investigate the relationship between the high-frequency harmonic voltages (HFHVs) in the rotor reference frame and the flux density variations in the PM, which is described quantitatively with the proposed analytical model using several dimensionless parameters. Then, the PM HFHLs are calculated analytically with the models using the flux density variations as input. The relative errors between the HFHLs calculated analytically and those obtained from the time-stepping FEA are within 15% at eight arbitrary working conditions. The proposed method can be used to calculate the PM HFHL in both two- and three-dimensional cases, which is testified with the experiment. Quadratic polynomial is used to fit the relationship between the dimensionless parameters and the fundamental currents. With the fitted polynomial and the analytical spectra of the HFHVs obtained from the double Fourier integration method, the PM HFHL map over entire working range can be calculated in one hour.
A Comparative Study of Genetic Responses to Short- and Long-Term Habitat Fragmentation in a Distylous Herb Hedyotis chyrsotricha (Rubiaceae)

The genetic effects of habitat fragmentation are complex and are influenced by both species traits and landscape features. For plants with strong seed or pollen dispersal capabilities, the question of whether the genetic erosion of an isolated population becomes stronger or is counterbalanced by sufficient gene flow across landscapes as the timescales of fragmentation increase has been less studied. In this study, we compared the population structure and genetic diversity of a distylous herb, Hedyotis chyrsotricha (Rubiaceae), in two contrasting island systems of southeast China. Based on RAD-Seq data, our results showed that populations from the artificially created Thousand-Island Lake (TIL) harbored significantly higher levels of genetic diversity than those from the Holocene-dated Zhoushan Archipelago (ZA) (π = 0.247 vs. 0.208, HO = 0.307 vs. 0.256, HE = 0.228 vs. 0.190), while genetic differences between island and mainland populations were significant in neither the TIL region nor the ZA region. A certain level of population substructure was found in TIL populations, and the level of gene flow among TIL populations was also lower than in ZA populations (m = 0.019 vs. 0.027). Overall, our comparative study revealed that genetic erosion has not become much stronger for the island populations of either the TIL or ZA regions. Our results emphasized that the matrix of water in the island system may facilitate the seed (fruit) dispersal of H. chrysotricha, thus maintaining population connectivity and providing ongoing resilience to the effects of habitat fragmentation over thousands of years.
Heat treatment design for the valorization of sheep cheese whey in artisanal production

We evaluated the thermal death (62-85 ºC) of the native microbial load in sheep cheese whey (SCW), aiming to allow its use as an ingredient in smallholdings. The results showed a microbiota with mixed thermal resistance and its inactivation kinetic was fitted to a biphasic first-order kinetic model. D-values were 60.8-1.2 min at 62-70 °C (sensitive population) and 35.4-14.1 min at 70-75 ºC (resistant population). In addition, a thermoduric population (~1 log CFU/mL) was not inactivated up to 85 ºC/ 30 min. We selected three binomials (68, 75, and 80 ºC for 20, 6, and 1 min, respectively) to study the microbial growth and the physical and physicochemical changes of SCW during storage (7 ºC/ 21 days). The results demonstrated that a binomial temperature of 75 °C/ 6 min was the best option for SCW stabilization, guaranteeing acceptable microbial counts up to 14 days of storage and preserving its physical and physicochemical characteristics. These results are fundamental to guide the processing conditions of this by-product in smallholdings and can be directly applied by researchers and sheep cheese producers.
“This is what a 13-year old girl looks like”: A feminist analysis of To Catch a Predator

Through archival research and an intersectional thematic analysis, this paper examines three key episodes of early-2000s sensation To Catch a Predator and situates them within crime media and journalism literature. The paper analyzes themes of journalistic integrity and the subjugation of women and girls by a television program that claimed to use the former to stop the latter. Based on the analysis, To Catch a Predator engages in forensic journalism as demonstrated by the treatment of women and girls as bait, claims of ownership over women and girls’ bodies, lack of nuance in reporting, and the liberties taken in their journalistic practices. Ultimately, this paper shows how To Catch a Predator acts as a spectacle of vigilantism, by creating the child pornography it claims to fight and by glorifying punishment, contributing to the ongoing moral panic around child exploitation.
MESIN PENTERJEMAH BAHASA INDONESIA-BAHASA SUNDA MENGGUNAKAN RECURRENT NEURAL NETWORKS

Translator is a process where one language is changed into another language. Translator in the last research was carried out using a Phrase-based Statistical Machine Translation (PSMT) approach. This research builds an Indonesian to Sundanese translator. The stages used start from pre-processing using text preprocessing and word embedding Word2Vec and the approach used is Neural Machine Translation (NMT) with Encoder-Decoder architecture in which there is a Recurrent Neural Network (RNN). Tests in the study resulted in the optimal value by the GRU of 99.17%. Models using Attention got 99.94%. The use of optimization model got optimal results by Adam 99.35% and BLEU Score results with optimal bleu 92.63% and brievity penalty 0.929. The results of the machine translator produce training predictions from Indonesian to Sundanese if the input sentences are in accordance with the corpus and the translation results are not suitable when the input sentences are different from the corpus.
Formal modeling and verification of a service composition approach in the social customer relationship management system

Purpose The purpose of this paper is to present a formal verification method to prove the correctness of social customer relationship management (CRM)-based service composition approach. The correctness of the proposed approach is analyzed to evaluate the customer behavioral interactions for discovering, selecting and composing social CRM-based services. In addition, a Kripke structure-based verification method is presented for verifying the behavioral models of the proposed approach. Design/methodology/approach Evaluating the customer behavioral interactions using the social CRM-based service composition approach is an important issue. In addition, formal verification has an important role in assessing the social CRM-based service composition. However, model checking can be efficient as a verification method to evaluate the functional properties of the social CRM-based service composition approach. Findings The results of model checking satisfied the logical problems in the proposed behavior model analysis. In the statistical testing, the proposed URM mechanism supported the four knowledge creation process conditions. It was also shown that the percentage of state reachability in the URM with KCP conditions is higher than the URM mechanism without supporting KCP conditions. Originality/value The comparison of time and memory consumption of the model checking method shows that the social CRM-based service composition approach covers knowledge process features, which makes it an efficient method.
Design and Analysis: Servo-Tube-Powered Liquid Jet Injector for Drug Delivery Applications

The current state of commercially available needle-free liquid jet injectors for drug delivery offers no way of controlling the output pressure of the device in real time, as the driving mechanism for these injectors provides a fixed delivery pressure profile. In order to improve the delivery efficiency as well as the precision of the targeted tissue depth, it is necessary to develop a power source that can accurately control the plunger velocity. The duration of a liquid jet injection can vary from 10 to 100 ms, and it generate acceleration greater than 2 g (where g is the gravity); thus, a platform for real-time control must exhibit a response time greater than 1 kHz and good accuracy. Improving the pioneering work by Taberner and others whereby a Lorentz force actuator based upon a voice coil is designed, this study presents a prototype injector system with greater controllability based on the use of a fully closed-loop control system and a classical three-phase linear motor consisting of three fixed coils and multiple permanent magnets. Apart from being capable of generating jets with a required stagnation pressure of 15–16 MPa for skin penetration and liquid injection, as well as reproducing typical injection dynamics using commercially available injectors, the novelty of this proposed platform is that it is proven to be capable of shaping the real-time jet injection pressure profile, including pulsed injection, so that it can later be tailored for more efficient drug delivery.
A N2CNN-Based Anomaly Detection Method for Cardiovascular Data in Cyber-Physical System

Internet-of-medical-things is the new means of monitoring patient health remotely. However, the real-time detection of anomalies in the patient data is a challenging task, especially on ECG-data. To ease the same, a novel method, NSGA-II based convolution neural network, is presented in this paper for efficient anomaly detection. In the proposed method, non-dominated sorting genetic algorithm-II is emto obtain optimal hyper-parameters of CNN by evaluating three objective functions namely, accuracy, precision, and recall. Further, the performance validation of the proposed method is conducted on two public datasets and compared against seven state-of-the-art methods. Experimental results affirm that the proposed method outperforms the considered methods with an accuracy of 94.83% and 94.96% on MIT-BIH arrhythmia dataset and INCART dataset, respectively. Therefore, it can be claimed that the proposed method is an efficient alternative for anomaly detection.
Developing human/AI interactions for chat-based customer services: lessons learned from the Norwegian government

ABSTRACT Advancements in human/AI interactions led to smartification of public services via the use of chatbots. Here, we present findings from a clinical inquiry research project in a key public service organisation in Norway. In this project, researchers and practitioners worked together to generate insights on the action possibilities offered to human service agents by chatbots and the potential for creating hybrid human/AI service teams. The project sensitised service agents to discover affordances based on their actual practices, rather than on the predefined use of chatbots. The different affordances identified can be useful for practitioners who design and deploy chatbot-based services. The action possibilities afforded by chatbots provide new ways for service agents and chatbots to work as a team addressing citizens’ needs. Drawing from the whole research process, we offer three lessons learned from the Norwegian Government on human/AI partnerships, theory-based interventions, and institutionalised collaborative research that can be useful for researchers that want to engage with practice and organisations that want to evolve their technology use, stimulate innovation, and engage with research.