Miracle-dz/UniFAR-FTUs huggingface dataset:
Endometrial Angiogenesis of Abnormal Uterine Bleeding and Infertility in Patients with Uterine Fibroids—A Systematic Review

Uterine fibroids are the most common benign tumors in women, with abnormal uterine bleeding (AUB) as the main reported symptom. Additionally, an association between fibroids and infertility has been established, especially if the fibroid protrudes in the uterine cavity. Hormonal therapy is associated with side-effects and as well as hysterectomy, which is incompatible with a desire to conceive. To improve treatment, it is essential to unravel the etiology of fibroid-related symptoms. We aim to evaluate endometrial angiogenesis in women with fibroids, with and without AUB, and the influence of pharmaceutical therapies in these patients. Furthermore, we explore the possible role of altered angiogenesis in patients with fibroids and infertility. We performed a systematic review according to PRISMA-guidelines (PROSPERO: CRD42020169061), and included 15 eligible studies. Endometrial expression of vascular endothelial growth factor (VEGF) and adrenomedullin was increased in patients with fibroids. This suggests aberrant angiogenesis, potentially involving disturbed vessel maturation, resulting in immature and fragile vessels. Treatment with gonadotropin-releasing hormone agonist, ulipristal acetate, and continuous oral contraception pills reduced several angiogenic parameters, including VEGF. If infertile and fertile patients with fibroids were compared, a significant decreased expression of the bone morphogenetic protein/Smad-protein pathway was found, possibly caused by the increased expression of transforming growth factor-beta. For future therapeutic development, these different angiogenic pathways could be of interest as possible targets to treat fibroid-related symptoms.
Stigmatizing attitude towards mental illness, disabilities, emotional and behavioural disorders, among healthcare students in a Tropical University College of Health Sciences

BACKGROUND: Stigma toward mental illness (MI), physical disability (DA), and emotional/behavioral disorders (EBD) has been identified as a form of violence and a cause of nontake-up of help by people in need. Stigmatization can aggravate an individual's feeling of rejection and incompetence and can be detrimental to treatment-seeking and adherence behaviors. This study evaluated the attitude of healthcare students toward MI, DA, and EBDs. MATERIALS AND METHODS: This study employed a cross-sectional survey method. A disproportionate stratified sampling technique was used to recruit participants. Sixty five consenting students who met the inclusion criteria were consecutively recruited from each clinical department of the college. The students were selected from the five clinical departments of the College (Nursing sciences, Medical Rehabilitation, Radiography, Medical laboratory science, and Medicine). The questionnaires on stigmatizing attitudes toward MI, EBD, and DA were self-administered. Descriptive statistics of frequency count, percentage, range, mean, and standard deviation were used to summarize participants’ sociodemographic data and their questionnaire scores. Inferential statistics of Spearman rank order correlation was used to test for correlation; Mann-Whitney U test was used to test the influence of gender, religion, and family history; and Kruskal-Wallis test was used to test the influence of department of study and level of study. Alpha level was set at 0.05. RESULTS: Three hundred twenty seven students comprising 164 (50.2%) males and 163 (49.8%) females participated. Mean age of participants was 22.89 ± 2.05 years. 45.3% of the participants reported positive family history of one or a combination of MI, DA, and EBDs. The study observed poor attitude toward MI and fair attitude toward DA and EBD. There were significant correlations between attitudes toward MI and disability (r = 0.36, P =.000033), MI and EBD (r = 0.23, P =.000023), disability and EBD (r = 0.46, P =.000001), and age and attitude toward disability (r = 0.15, P =.009). Females had significantly more positive attitude toward disability (P =.03) and EBDs (P =.03). Nursing students also demonstrated the most positive attitudes toward MI (P =.03) and EBD (P =.000416), while final year students demonstrated the most positive attitudes toward MI (P =.00145) and EBDs (P =.03). CONCLUSIONS: There was a poor attitude toward MI and a fair attitude toward DA and EBD. Attitude toward MI, DA, and EBD correlated significantly with one another. Older students, females, and higher levels of training in the healthcare profession were associated with more positive attitudes toward MI, DA, and EBDs.
Sampling Method Based on Scale Space with Gaussian Kernel

The expansion of feature points of the linear scale space is transformed into the classification of multi-scale data set within the same scale, which belongs to the classification of scale invariant non-equilibrium. This paper presents a sample approach based on scale space with Gaussian kernel learning to solve classification on imbalance dataset by support vector machine (SVM). The method first preprocesses the data by over-sampling the minority class in kernel space, then finds the pre-images of the synthetic samples based on a distance relation between kernel space and input space, finally appends these pre-images to the original dataset to train. As a result, the inconsistency which is brought about by processing samples in different spaces is overcome. The sampling strategies of the method not only can decrease imbalanced rate of training dataset, but also can enlarge convex hull of the minority class. Consequently, the problem of boundary skew can be amended more effectively. Experimental results on real dataset indicate that the generalization performance of the result classifier is improved and the algorithm can work well on expanding the feature points stably for a certain scale.
Evolution of Inguinal Hernia Publications: A Bibliometric Analysis from 1980 to 2021

Background Despite the increasing number of studies published worldwide focusing on inguinal hernia, a major condition in the surgical field that affects the quality of life of many patients, a bibliometric study on inguinal hernia is yet to be conducted. The present study aimed to analyze the scientific articles published on inguinal hernia using statistical methods. Material/Methods Articles published between 1980 and 2021 on inguinal hernia were downloaded from the Web of Science database and analyzed using statistical methods. Results A total of 11 761 publications were found. The top 5 contributors to the literature were the United States (n=2109, 27%), Germany (563, 6.7%), United Kingdom (595, 5.7%), Turkey (415, 5.3%), and Japan (388, 4.9%). The top 3 most influential journals by average number of citations per article were Annals of Surgery (citations: 67.4), British Journal of Surgery (citations: 49.9), and Surgical Clinics of North America (citations: 43.2). Conclusions In the current comprehensive bibliometric study on inguinal hernia, which has demonstrated an upward trend in the number of articles published recently, we present a summary of 7810 articles published from 1980 to 2021. According to the results of the analysis conducted to identify trending topics, the keywords studied in recent years are believed to include pediatric, outcomes, minimally invasive surgery, robotic, incisional hernia, umbilical hernia, chronic pain, obesity, bariatric surgery, NSQIP, seroma, surgical site infection, abdominal wall reconstruction, ventral hernia repair, and hiatal hernia repair.
Bouveret Syndrome simultaneous with an incidental solitary Gastric Neuroendocrine Tumor in a 44-year-old female - A Case Report

Introduction and importance: Bouveret Syndrome (BS) is a rare type of gallstone ileus, where a gallstone passes via a cholecystoduodenal fistula and causes gastric outlet obstruction. It comprises 0.3–0.5% of cholelithiasis complications. It primarily affects females with an average incidence age of 74 years. Gastric Neuroendocrine Tumors (G-NETs) make up merely 2% of all forms of gastric neoplasia and are known to be an extremely rare occurrence. Their annual incidence is estimated to be one to two per 1 million individuals, and they comprise 8.7% of all known neuroendocrine neoplasia of the gastrointestinal system. Case presentation: We present the case of a 44-year-old Middle Eastern female who presented to the clinic due to multiple episodes of food containing biliary nonprojectile emesis accompanied by epigastric pain. Preoperative radiological workup revealed a Bezoar blocking the gastric outlet and a G-NET in the mucosal layer of the stomach. Clinical discussion: Surgical intervention consisted of excising the impacted calculus to relieve the existing gastric outlet obstruction simultaneous to performing an uncut Roux-en-Y to treat the G-NET condition. The patient underwent complete recovery. Conclusion: BS is an extremely rare form of gallstone ileus and gastric outlet obstruction. Its clinical presentation is nonspecific and results in misdiagnosis. Additionally, it is rare to occur in our patient’s age group. NETs are also profoundly rare forms of neoplasia. To the best of our knowledge, no previous cases of simultaneous BS and G-NET have been documented. Therefore, clinical awareness should be raised to timely implement the necessary therapeutic interventions.
Antineuronal autoantibodies induced paraneoplasic syndrome in schizophrenia spectrum disorders: case report

Background: Secondary psychiatric symptoms are usually suspected when there is an atypical presentation of the symptoms or a lack of response to psychotropic medication. Case presentation: Our case is about a woman aged 62 years old, with a history of mental disorder who presented psychiatric symptomatology after years of being stabilized by antipsychotics. She was later investigated due to a mass in her breast. Carcinoma was diagnosed, and her psychiatric symptomatology was resolved after the tumerectomy. Discussion: The therapeutic difficulty is the major problem of psychic disorders in the context of paraneoplastic syndrome. Several literature review have suggested a relationship between schizophrenia and antineuronal antibodies in the context of paraneoplastic syndrome. Treating the tumor can solve psychiatric symptoms better than psychotic treatment. Conclusions: The aim of our study is to highlight the importance of a complete medical evaluation to identify the psychiatric presentations of organic disorders associated with psychiatric manifestation and to ensure an early diagnosis.
Centralized multi-sensor multi-target tracking with labeled random finite set

Tracking multiple objects with multiple sensors is widely recognized to be much more complex than the single-sensor scenario. This contribution proposes a computationally tractable multi-sensor multi-target tracker. Based on Bayes equation and multi-senor observation model, a new corrector for multi-senor is derived. To lower the complexity of update operation, a parallel track-to-measurement association strategy is applied to the corrector. Hypotheses truncation scheme along with first-moment approximation of multi-target density are also employed to improve the tracking efficiency. The tracker is applied to a couple-sensor scenario. Experiment results validate the advantages of proposed method compared to the standard single-sensor δ-generalized labeled multi-Bernoulli filter and the iterated-corrector probability hypothesis density filter.
Reflection of waves from a strong scatterer buried in a random media

Reflection of waves from a mirror covered by a random layer of isotropic, absorbing scatterers is studied, and the annular distribution of the scattered intensity is calculated both analytically and numerically. It is shown that backscattering enhancement as well as an enhancement of the incoherent signal in the specular direction take place even in the singly scattered random field. The dependence of the retroreflected intensity is shown to be a non-monotonic function of the depth of the mirror, with a maximum at a depth of order of the scattering mean free path. Possibilities for employing the results obtained to detect buried strong scatterers and to retrieve parameters of the random media are discussed. In particular, it is shown that in the case of strong absorption the reflecting plane manifests itself by the presence of a peak in the retroreflected intensity which is missing from the scattering diagram of a free standing or an infinitely thick random layer.
Position and attitude control of a planar satellite by two constant force thrusters

This study deals with the in-plane motion of a free-floating planar satellite equipped with two thrusters having constant force magnitude and fixed direction with respect to the satellite. This paper discusses the motion of such a satellite, and proposes a simple trajectory design procedure for controlling both the satellite’s position and attitude angle. First, this paper investigates the motion for constant force magnitude. A drift-less rotational maneuver forms an “invariant manifold”, which can be used to design a trajectory for the target state. Then, the condition of the input profile for the drift-less motion is discussed. Furthermore, this paper explains an advantage of a rotational maneuver which intentionally generates drift velocity.
Orbit Estimation of Non-Cooperative Maneuvering Spacecraft

Abstract : Due to the ever increasing congestion of the space environment, there is an increased demand for real-time situation awareness of all objects in space. An unknown spacecraft maneuver changes the predicted orbit, complicates tracking, and degrades estimate accuracies. Traditional orbit estimation routines are implemented, tested, and compared to a multiple model format that adaptively handles unknown maneuvers. Multiple Model Adaptive Estimation is implemented in an original way to track a non-cooperative satellite by covariance inflation and filtering-through a maneuver. Parameters for successful instantaneous maneuver reconstruction are analyzed. Variable State Dimension estimation of a continuously maneuvering spacecraft is investigated. A requirements based analysis is performed on short arc orbital solutions. Large covariance propagation of potential maneuvers is explored. Using ground-based radars, several thousand simulations are run to develop new techniques to estimate orbits during and after both instantaneous and continuous maneuvers. The new methods discovered are more accurate by a factor of 700 after only a single pass when compared to non-adaptive methods. The algorithms, tactics, and analysis complement on-going efforts to improve Space Situational Awareness and dynamic modeling.
The Anti-Biofilm Activity and Mechanism of Apigenin-7-O-Glucoside Against Staphylococcus aureus and Escherichia coli

Introduction This study aimed to examine the anti-biofilm activity and mechanism of gallic acid (GA), kaempferol-7-O-glucoside (K7G) and apigenin-7-O-glucoside (A7G) against Staphylococcus aureus and Escherichia coli. Methods The antibacterial activity of the natural compounds was determined by serial dilution method. The inhibitory activity of natural compounds on biofilms was determined by crystal violet staining method. The effects and mechanisms of natural compounds on bacterial biofilms were analyzed by atomic force microscopy. Results In our study, compared with GA and K7G, A7G was found to exhibit the strongest anti-biofilm and antibacterial activities. The minimum biofilm inhibitory concentration (MBIC) of A7G against S. aureus and E. coli was 0.20 mg/mL and 0.10 mg/mL, respectively. The inhibition rates of 1/2 MIC of A7G on biofilms of S. aureus and E. coli were 88.9%, and 83.2% respectively. Moreover, atomic force microscope (AFM) images showed the three-dimensional biofilm morphology of S. aureus and E. coli, and the results indicated that A7G was highly effective in biofilm inhibition. Discussion It was found that the inhibition of A7G on biofilm was achieved through inhibiting on exopolysaccharides (EPS), quorum sensing (QS), and cell surface hydrophobicity (CSH). A7G exerted strong anti-biofilm activities by inhibiting EPS production, QS, and CSH. Hence, A7G, as a natural substance, could be a promising novel antibacterial and anti-biofilm agent for control of biofilm in food industry.
Enabling Fully-Decoupled Radio Access With Elastic Resource Allocation

Recently, an origin fully-decoupled radio access network (FD-RAN) inspired by neurotransmission has been proposed for B5G/6G mobile communication networks, which achieves the potentials of improving the spectrum efficiency, reducing the energy consumption and meeting personalized user requirement through profound resource cooperation. To explore new radio and networking technologies, in this paper, we propose an elastic and efficient resource allocation for the FD-RAN architecture. First, we assume that the wireless spectrum is integrated for more reasonable allocation and sharing the spectrum dynamically across frequencies, location, users, services and networks. In particular, we propose a user-BS-subchannel matching algorithm to solve the dynamic uplink and downlink spectrum division, BS cooperation and subchannel assignment problems based on the many-to-many matching model. Our algorithm is proved to converge to a stable matching within finite iterations. Then, we propose a power control algorithm for uplink and downlink transmissions to further enhance the system performance based on the successive convex approximation. The obtained power control solution is proved to achieve a Karush-Kuhn-Tucker point. Extensive simulation results demonstrate that the proposed dynamic division of uplink and downlink spectrum, BS cooperation, subchannel assignment and power control can effectively improve the network performance for the FD-RAN architecture.
An Improved Method of Motion Detection Based on Temporal Difference

An improved method of motion detection based on temporal difference is proposed in this paper.First,the difference image is got by two successive gray images.Then,the difference image is filtered and translated into binary image.Third,a number of binary images are calculated by some gray images in the image sequences.Finally,motion object regions are extracted by arithmetic operations of pixels from these binary images.Experimental results show that this improved method is suitable and effective.
A Study on the Critical Current Measurement of No-Insulation HTS Coils and the Effect of Screening Current-Induced Voltage

This paper presents a study on the critical current measurement of the no-insulation (NI) high-temperature superconducting (HTS) coils and the effect of the screening current-induced voltage. During the analysis of the critical current measurement data, we observed the unexpected “resistive-like” slope in the I-V curve of the NI rare-earth barium copper oxide (REBCO) double-pancake (DP) coils. Because the coil is confirmed superconducting and has no internal joints, therefore we estimate the unexpected resistive-like slope is the result of the screening current-induced voltage. The circuit analysis using the one-dimensional simple equivalent circuit could not explain the screening current-induced voltage adequately. However, using the three-dimensional advanced PEEC model, we were able to successfully reproduce the resistive-like slope.
Design Of Sierpinski Gasket Multiband Fractal Antenna For Wireless Applications

The multiband behavior of the Fractal Sierpinski Gasket Antenna is described in this paper. An analysis is performed to examine the parameters of an antenna with a frequency range in between 1 GHz to 6 GHz. The behaviors of an antenna are investigated such as return loss and bandwidth. Simulations have been done by using different iterations. This multiband Fractal antenna is also used for different wireless applications. Sierpinski gasket antenna using a coplanar waveguide (CPW) feed which is proposed for multiband applications.
Frequent Alarm Pattern Mining of Industrial Alarm Flood Sequences by an Improved PrefixSpan Algorithm

Alarm systems are essential to the process safety and efficiency of complex industrial facilities. However, with the increasing size of plants and the growing complexity of industrial processes, alarm flooding is becoming a serious problem and posing challenges to alarm systems. Extracting alarm patterns from an alarm flood database can assist with an alarm root cause analysis, decision support, and the configuration of an alarm suppression model. However, due to the large size of the alarm database and the problem of sequence ambiguity in the alarm sequence, existing algorithms suffer from excessive computational overhead, incomplete alarm patterns, and redundant outputs. In order to solve these problems, we propose an alarm pattern extraction method based on the improved PrefixSpan algorithm. Firstly, a priority-based pre-matching strategy is proposed to cluster similar sequences in advance. Secondly, we improved PrefixSpan by considering timestamps to tolerate short-term order ambiguity in alarm flood sequences. Thirdly, an alarm pattern compression method is proposed for the further distillation of pattern information in order to output representative alarm patterns. Finally, we evaluated the effectiveness and applicability of the proposed method by using an alarm flood database from a real diesel hydrogenation unit.
Words in context: Compensation for phonological assimilation in monolingual and bilingual toddlers

Most words spoken to infants are produced in larger units, such as clauses, phrases, and sentences. As such, language learners must recognize words amidst the words that surround them. However, the phonetic forms of words change based on surrounding context. Here, we investigate the effects of a common source of phonetic change—phonological assimilation—on word recognition in English monolingual and English-Mandarin bilingual infants from Singapore. Using a preferential looking paradigm, 24-month-old monolingual English and bilingual English-Mandarin toddlers were presented with three different forms of familiar English words embedded in phrases: correct productions (e.g. ‘Look at the pen, dear’), assimilated forms (e.g. ‘Look at the pem, baby’), and mispronunciations (e.g. ‘Look at the pem, dear’). Although participants preferentially fixated visual targets upon hearing them labeled, there were no effects or interactions of language background and trial type on target fixation. However, higher naming effects were associated with increased English exposure in bilingual infants. The results suggest that monolingual and bilingual infants respond similarly to phonetic alternations arising from nasal place assimilation at 24 months.
Integrated Data-Driven Power System Transient Stability Monitoring and Enhancement

While many promising data-driven power system transient stability assessment (TSA) studies have been recently reported, very few of them further propose efficient data-driven solutions for follow-up control actions, e.g., generator tripping, against potential instability. To address this inadequacy, this work develops an integrated data-driven transient stability monitoring and enhancement (TSMAE) approach that can reliably and efficiently handle various emergency situations in real time. First, by introducing the emerging spatial-temporal synchronous graph convolutional network (STSGCN), wide-area spatial-temporal features w.r. t. system stability are sufficiently learned to reliably implement online TSA. Then, to handle impending instability in a tractable manner, remedial actions are quickly taken based on intelligent critical generator identification (CGI). Specifically, with the help of the STSGCN again, the potential effects of tripping individual generators on system stabilization are efficiently predicted from the spatial-temporal perspective. Based upon that, the most critical generators for tripping are adaptively selected to enhance system stability. Numerical test results on a realistic provincial power grid of China illustrate the efficacy of the proposed TSMAE approach.