Miracle-dz/UniFAR-FTUs huggingface dataset:
Developments on Perovskite Solar Cells (PSCs): A Critical Review

This review provides detailed information on perovskite solar cell device background and monitors stepwise scientific efforts applied to improve device performance with time. The work reviews previous studies and the latest developments in the perovskite crystal structure, electronic structure, device architecture, fabrication methods, and challenges. Advantages, such as easy bandgap tunability, low charge recombination rates, and low fabrication cost, are among the topics discussed. Some of the most important elements highlighted in this review are concerns regarding commercialization and prototyping. Perovskite solar cells are generally still lab-based devices suffering from drawbacks such as device intrinsic and extrinsic instabilities and rising environmental concerns due to the use of the toxic inorganic lead (Pb) element in the perovskite (ABX3) light-active material. Some interesting recommendations and possible future perspectives are well articulated.
Association between anesthetic method and postpartum hemorrhage in Korea based on National Health Insurance Service data

Background Postpartum hemorrhage (PPH) is a major cause of maternal mortality and the risk factors for PPH differ among studies. In this large-scale study, we investigated whether the anesthetic method used was associated with PPH after cesarean section. Methods We extracted data on cesarean sections performed between January 2008 and June 2013 from the National Health Insurance Service database. The anesthetic methods were categorized into general, spinal and epidural anesthesia. To compare the likelihood of PPH among deliveries using different anesthetic methods, crude and adjusted odds ratios (ORs) and 95% confidence intervals were calculated using logistic regression analysis. Results Data from 330,324 cesarean sections were analyzed, and 21,636 cases of PPH were identified. Univariate analysis showed that general and epidural anesthesia increased the risk of PPH compared to spinal anesthesia. The OR for PPH was highest for morbidly adherent placenta, followed by placenta previa, placental abruption, and hypertension. When other clinical covariates were controlled for, general and epidural anesthesia still remained significant risk factors for PPH compared to spinal anesthesia. Conclusions This study showed that general and epidural anesthesia elevated the risk of PPH compared to spinal anesthesia during cesarean section. Since we could not consider the potential bias of group differences in indications, more in-depth clinical trials are needed to validate our findings. Obstetric factors such as placental abnormalities had high odds ratios and thus are more important than the choice of anesthetic method, which should be based on the patient’s clinical condition and institutional resources.
Uncovering One-Dimensional Reaction Coordinate that Underlies Structure-Function Relationship of Proteins

Understanding the mechanism of functional protein dynamics is critical to understanding protein functions. Reaction coordinates is a central topic in protein dynamics and the grail is to find the one-dimensional reaction coordinate that can fully determine the value of committor (i.e. the reaction probability in configuration space) for any protein configuration. We present a powerful new method that can, for the first time, identify the rigorous one-dimensional reaction coordinate in complex molecules. This one-dimensional reaction coordinate is determined by a fundamental mechanical operator--the generalized work functional. This method only requires modest computational cost and can be readily applied to large molecules. Most importantly, the generalized work functional is the physical origin of the collectivity in functional protein dynamics and provides a tentative roadmap that connects the structure of a protein to its function.
Viruses associated with ill health in wild chimpanzees

Viral infection is a major cause of ill health in wild chimpanzees (Pan troglodytes), but most evidence to date has come from conspicuous disease outbreaks with high morbidity and mortality. To examine the relationship between viral infection and ill health during periods not associated with disease outbreaks, we conducted a longitudinal study of wild eastern chimpanzees (P. t. schweinfurthii) in the Kanyawara and Ngogo communities of Kibale National Park, Uganda. We collected standardized, observational health data for 4 years and then used metagenomics to characterize gastrointestinal viromes (i.e., all viruses recovered from fecal samples) in individual chimpanzees before and during episodes of clinical disease. We restricted our analyses to viruses thought to infect mammals or primarily associated with mammals, discarding viruses associated with nonmammalian hosts. We found 18 viruses (nine of which were previously identified in this population) from at least five viral families. Viral richness (number of viruses per sample) did not vary by health status. By contrast, total viral load (normalized proportion of sequences mapping to viruses) was significantly higher in ill individuals compared with healthy individuals. Furthermore, when ill, Kanyawara chimpanzees exhibited higher viral loads than Ngogo chimpanzees, and males, but not females, exhibited higher infection rates with certain viruses and higher total viral loads as they aged. Post‐hoc analyses, including the use of a machine‐learning classification method, indicated that one virus, salivirus (Picornaviridae), was the main contributor to health‐related and community‐level variation in viral loads. Another virus, chimpanzee stool‐associated virus (chisavirus; unclassified Picornavirales), was associated with ill health at Ngogo but not at Kanyawara. Chisavirus, chimpanzee adenovirus (Adenoviridae), and bufavirus (Parvoviridae) were also associated with increased age in males. Associations with sex and age are consistent with the hypothesis that nonlethal viral infections cumulatively reflect or contribute to senescence in long‐lived species such as chimpanzees.
Does deep neuromuscular blockade provide improved outcomes in low pressure laparoscopic colorectal surgery? A single blinded randomized pilot study

Low intra‐abdominal pressure during laparoscopic colorectal surgery may improve outcomes and reduce hospital stay, in addition to Enhanced Recovery After Surgery (ERAS) protocols. There is concern that low pressure reduces laparoscopic vision and may increase surgical complications. Deep neuromuscular blockade may abrogate any reduction in vision of low‐pressure pneumoperitoneum. However, antagonism of deep neuromuscular blockade at completion of surgery necessitates the use of sugammadex, which is prohibitively expensive, if there are no surgical benefits and warrants further study.
Pharmacological Modulation and (Patho)Physiological Roles of TRPM4 Channel—Part 1: Modulation of TRPM4

Transient receptor potential melastatin 4 is a unique member of the TRPM protein family and, similarly to TRPM5, is Ca2+-sensitive and permeable to monovalent but not divalent cations. It is widely expressed in many organs and is involved in several functions by regulating the membrane potential and Ca2+ homeostasis in both excitable and non-excitable cells. This part of the review discusses the pharmacological modulation of TRPM4 by listing, comparing, and describing both endogenous and exogenous activators and inhibitors of the ion channel. Moreover, other strategies used to study TRPM4 functions are listed and described. These strategies include siRNA-mediated silencing of TRPM4, dominant-negative TRPM4 variants, and anti-TRPM4 antibodies. TRPM4 is receiving more and more attention and is likely to be the topic of research in the future.
GENETIC AND NON-GENETIC FACTORS AFFECTING MILK PRODUCTION AND PREWEANING LITTER TRAITS OF NEW ZEALAND WHITE DOES UNDER EGYPTIAN CONDITIONS

To study the genetic and non genetic factors affecting doe milk production and preweaning litter performance, 519 litters of New Zealand White raboit were used. Sire significantly (P<0.05) affected milk yield of the first week only, while doe affected significantly (P<0.01) milk yield of most of the experimental penods except the fourth week which was insignificantly affected. Milk yield was the highest in the second parity. Season of kindling affected significantly (P<0.01) milk yield in most of the weeks of the study, except the fourth which was insignificantly affected and showed the lowest yield at summer. Litter size at birth affected significantly (P<0.01) milk yield which increased by the increase of the number of young at birth. The peak of milk production was 155.3 g/day at the third week of lactation. Sire affected insignificantly most of preweaning performances traits studied except litter size at birtfl (P<0.05). Doe affected significantly (P<0.01) litter size and weight at birth and weaning. Parity affected significantly (P<0.01) each of litter size and weight at weaning as well as preweaning mortality. Season of kindling affected rnsignificantly litter size and weight at birth and significantly (P<0.01) at weaning. Days open (from kindling to fertile mating) showed highly s1gnificant (P<0.01) effects on all preweaning litter traits studied. Each of heritability and repeatability estimates for milk yield and litter performance traits studied were, in general, low.
Optimization of Aeolus' aerosol optical properties by maximum-likelihood estimation

Abstract. The European Space Agency (ESA) Earth Explorer Mission Aeolus was launched in August 2018, carrying the first Doppler wind lidar in space. Its primary payload, the Atmospheric LAser Doppler INstrument (ALADIN), is an ultraviolet (UV) high-spectral-resolution lidar (HSRL) measuring atmospheric backscatter from air molecules and particles in two separate channels. The primary mission product is globally distributed line-of-sight wind profile observations in the troposphere and lower stratosphere. Atmospheric optical properties are provided as a spin-off product. Being an HSRL, Aeolus is able to independently measure the particle extinction coefficients, co-polarized particle backscatter coefficients and the co-polarized lidar ratio (the cross-polarized return signal is not measured). This way, the retrieval is independent of a priori lidar ratio information. The optical properties are retrieved using the standard correct algorithm (SCA), which is an algebraic inversion scheme and therefore sensitive to measurement noise. In this work, we reformulate the SCA into a physically constrained maximum-likelihood estimation (MLE) problem and demonstrate a predominantly positive impact and considerable noise suppression capabilities. These improvements originate from the use of all available information by the MLE in conjunction with the expected physical bounds concerning positivity and the expected range of the lidar ratio. To consolidate and to illustrate the improvements, the new MLE algorithm is evaluated against the SCA on end-to-end simulations of two homogeneous scenes and for real Aeolus data collocated with measurements by a ground-based lidar and the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite. The largest improvements were seen in the retrieval precision of the extinction coefficients and lidar ratio ranging up to 1 order of magnitude or more in some cases due to effective noise dampening. In real data cases, the increased precision of MLE with respect to the SCA is demonstrated by increased horizontal homogeneity and better agreement with the ground truth, though proper uncertainty estimation of MLE results is challenged by the constraints, and the accuracy of MLE and SCA retrievals can depend on calibration errors, which have not been considered.
An Electrochemiluminescence Biosensor for the Detection of Alzheimer’s Tau Protein Based on Gold Nanostar Decorated Carbon Nitride Nanosheets

Human Tau protein is the most reliable biomarker for the prediction of Alzheimer’s disease (AD). However, the assay to detect low concentrations of tau protein in serum is a great challenge for the early diagnosis of AD. This paper reports an electrochemiluminescence (ECL) immunosensor for Tau protein in serum samples. Gold nanostars (AuNSs) decorated on carbon nitride nanosheets (AuNS@g-CN nanostructure) show highly strong and stable ECL activity compared to pristine CN nanosheets due to the electrocatalytic and surface plasmon effects of AuNSs. As a result of the strong electromagnetic field at branches, AuNSs showed a better ECL enhancement effect than their spherical counterpart. For the fabrication of a specific immunosensor, immobilized AuNSs were functionalized with a monoclonal antibody specific for Tau protein. In the presence of Tau protein, the ECL intensity of the immunosensor decreased considerably. Under the optimal conditions, this ECL based immunosensor exhibits a dynamic linear range from 0.1 to 100 ng mL−1 with a low limit of detection of 0.034 ng mL−1. The LOD is less than the Tau level in human serum; thus, this study provides a useful method for the determination of Tau. The fabricated ECL immunosensor was successfully applied to the detection of Tau, the biomarker in serum samples. Therefore, the present approach is very promising for application in diagnosing AD within the early stages of the disease.
How do Pedagogical Conversational Agents affect Learning Outcomes among High School Pupils: Insights from a Field Experiment

Pedagogical conversational agents (CA) support formal and informal learning to help students achieve better learning outcomes by providing information, guidance or fostering reflections. Even though the extant literature suggests that pedagogical CAs can improve learning outcomes, there exists little empirical evidence of what design features drive this effect. This study reports on an exploratory field experiment involving 31 pupils in commercial high schools and finds that students achieved better learning outcomes when preparing for their tests with a pedagogical CA than without. However, the drivers of this effect remain unclear. Neither the use frequency of the design features nor the pupils’ expectations towards the CA could explain the improvement in marks. However, for the subjective perception of learning achievement, pupils’ expectations was a significant predictor. These findings provide support for the use of pedagogical CAs in teaching but also highlight that the drivers of better learning outcomes still remain unknown.
The Moderating Effect of IT Capability on the Relationship between Implicit Coordination and Team Output Ranking in Coal Mines

Mining is a dangerous job which takes place under several hundred meters deep mines and requires multi-team collaboration. Coal miners often encounter critical situations so that traditional coordination methods such as meetings are no longer applicable, and an implicit coordination mechanism needs to be established for front-line mining teams. Many scholars study implicit coordination in emergency management, while this research aims to explore the implicit coordination mechanism in mining teams. Besides, we analyze the impact of a large number of information technology applications (such as intelligent mining robots, intelligent mine system) on implicit coordination. The results verify the significant moderate effect of IT capability on implicit coordination. Finally, we provide some practical suggestions for coal mine managers and coal miners.
Local food consumption values and attitude formation: the moderating effect of food neophilia and neophobia

PurposeThe local food tourism in Pakistan is increasing rapidly, and it attracts scholars to determine the factors affecting local food tourists' buying choices. Particularly, the authors aim to investigate the role of food consumption values on predicting domestic tourists' attitude toward local food and its effect on the intention to try local food with the moderating effect of personality traits (neophobia and neophilia). Design/methodology/approachThe authors tested the study model on 250 completed responses from local food tourists. They collected the data from three tourism locations (Islamabad, Rawalpindi and Peshawar) in Pakistan. Their study utilizes the consumption value theory within the limits of Pakistan's local food tourism.FindingsThe empirical findings show that consumption values, such as price, emotion, interaction, epistemic value, location value and variety value, effectively explain the domestic tourists' attitude toward local food. The authors further report that food neophilia strengthens the local tourists' positive reception toward the local food. However, food neophobia weakens the direction between local tourists' attitude toward local food and the intention to try local food.Practical implicationsThis study provides insights pertaining to tourists' local food consumption values (LFCVs) to a local destination owner and marketing manager to strategically work on LFCVs that are crucial for domestic tourists to derive their intention to try local food. Practitioners should work on domestic tourists who possess food neophobia trait and enquire them for their rejection or avoidance of a particular local destination. This will enable practitioners to bring innovation and development in the local destination, which ultimately promote local food tourism.Originality/valueThis study is the first to incorporate the variety and local value in tourists' LFCVs to predict local tourists' attitude toward local food. Additionally, the authors contribute to local food tourism by empirically studying the moderating role of personality traits (food neophilia and food neophobia) to examine the direction between local tourists' attitude and intention to local food.
TAS2-Net: Triple-Attention Semantic Segmentation Network for Small Surface Defect Detection

Surface defect detection plays a vital role in manufacturing. However, it remains challenging: 1) small samples due to fewer defective products relative to numerous normal products and 2) small defects due to the small size of the defect relative to the large surface. In order to address these problems, this article proposes a triple attention semantic segmentation network for pixel-wise segmentation of surface defects, named as TAS2-Net. In the TAS2-Net framework, for solving the issue of small samples, a generative adversarial network (GAN)-based data augmentation method is proposed to generate defect training samples from a limited number of true defects. Furthermore, for avoiding the loss of small defects, a multilevel features extraction (MFE) module is proposed to extract multi-level features of small defects. Then, a triple context attention module is designed to capture more defect context information for better identifying these small defects. Finally, the focus context module (FCM) is utilized to fuse defect information and achieve pixel-wise segmentation on small defects. Experiments on three actual defect datasets show that the proposed TAS2-Net outperforms the state-of-the-art methods in terms of precision, recall, ${F}$ -measure, and Intersection over Union (IoU) (DAGM: 86.9%, NEU-DET: 86.3%, Magnetic-Tile: 85.1%).
A Robust GNSS/PDR Integration Scheme with GRU-Based Zero-Velocity Detection for Mass-Pedestrians

Aiming at the problem of high-precision positioning of mass-pedestrians with low-cost sensors, a robust single-antenna Global Navigation Satellite System (GNSS)/Pedestrian Dead Reckoning (PDR) integration scheme is proposed with Gate Recurrent Unit (GRU)-based zero-velocity detector. Based on the foot-mounted pedestrian navigation system, the error state extended Kalman filter (EKF) framework is used to fuse GNSS position, zero-velocity state, barometer elevation, and other information. The main algorithms include improved carrier phase smoothing pseudo-range GNSS single-point positioning, GRU-based zero-velocity detection, and adaptive fusion algorithm of GNSS and PDR. Finally, the scheme was tested. The root mean square error (RMSE) of the horizontal error in the open and complex environments is lower than 1 m and 1.5 m respectively. In the indoor elevation experiment where the elevation difference of upstairs and downstairs exceeds 25 m, the elevation error is lower than 1 m. This result can provide technical reference for the accurate and continuous acquisition of public pedestrian location information.
Contribution of Different Subbands of ECG in Sleep Apnea Detection Evaluated Using Filter Bank Decomposition and a Convolutional Neural Network

A variety of feature extraction and classification approaches have been proposed using electrocardiogram (ECG) and ECG-derived signals for improving the performance of detecting apnea events and diagnosing patients with obstructive sleep apnea (OSA). The purpose of this study is to further evaluate whether the reduction of lower frequency P and T waves can increase the accuracy of the detection of apnea events. This study proposed filter bank decomposition to decompose the ECG signal into 15 subband signals, and a one-dimensional (1D) convolutional neural network (CNN) model independently cooperating with each subband to extract and classify the features of the given subband signal. One-minute ECG signals obtained from the MIT PhysioNet Apnea-ECG database were used to train the CNN models and test the accuracy of detecting apnea events for different subbands. The results show that the use of the newly selected subject-independent datasets can avoid the overestimation of the accuracy of the apnea event detection and can test the difference in the accuracy of different subbands. The frequency band of 31.25–37.5 Hz can achieve 100% per-recording accuracy with 85.8% per-minute accuracy using the newly selected subject-independent datasets and is recommended as a promising subband of ECG signals that can cooperate with the proposed 1D CNN model for the diagnosis of OSA.
Attention Limitations in the Detection and Identification of Alarms in Close Temporal Proximity

Objective The aim of this study was to establish the effects of simultaneous and asynchronous masking on the detection and identification of visual and auditory alarms in close temporal proximity. Background In complex and highly coupled systems, malfunctions can trigger numerous alarms within a short period of time. During such alarm floods, operators may fail to detect and identify alarms due to asynchronous and simultaneous masking. To date, the effects of masking on detection and identification have been studied almost exclusively for two alarms during single-task performance. This research examines 1) how masking affects alarm detection and identification in multitask environments and 2) whether those effects increase as a function of the number of alarms. Method Two experiments were conducted using a simulation of a drone-based package delivery service. Participants were required to ensure package delivery and respond to visual and auditory alarms associated with eight drones. The alarms were presented at various stimulus onset asynchronies (SOAs). The dependent measures included alarm detection rate, identification accuracy, and response time. Results Masking was observed intramodally and cross-modally for visual and auditory alarms. The SOAs at which asynchronous masking occurred were longer than reported in basic research on masking. The effects of asynchronous and, even more so, simultaneous masking became stronger as the number of alarms increased. Conclusion Masking can lead to breakdowns in the detection and identification of alarms in close temporal proximity in complex data-rich domains. Application The findings from this research provide guidance for the design of alarm systems.