Miracle-dz/UniFAR-FTUs huggingface dataset:
A prospective study to assess the relative frequencies of different urological dysfunctions in patients with multiple sclerosis

Background: Multiple sclerosis (MS) is a relatively common autoimmune neurological disease. One of the commonly affected organs in MS is the urinary bladder leading to disturbances in bladder function and control of micturition. Objective: The aim of this study was to evaluate the benefits and convenience of using physiological tests in assessing the bladder function and their efficiency in identifying the exact cause of bladder dysfunction in MS. Materials and Methods: Sixty-three patients (41 females and 22 males) with urinary manifestations associated with MS were selected for the study, in whom 5 urodynamic studies to assess their bladder functioning were performed. All patients visited the Neuromedical Clinic in Basrah General Hospital. Results: Results fond that after applying the UDS, 46 (73.01%) of patients were found to have DO, 14 (22.22%) of patients had detrosal areflexia, and 3 (4.7%) had detrusor sphincter dyssynergia. Conclusion: Urgency, with or without incontinence, and frequency are the most common urological problems that face MS patients; therefore, these complaints should be considered seriously by health-care professionals in addition urodynamic studies can be used as an efficient diagnostic test when MS is diagnosed to determine the exact type of the bladder dysfunction; thus, can plan appropriate treatment.
Probing the Underlying Structure of Modern Expectancy-Value Theory in Multicultural Education: A Bayesian Exploratory Factor Analysis

Expectancy-Value (EV) theory has been widely used in a plethora of domains except for multicultural education, a distinct and critical field in many countries due to increasing student diversity. In light of the domain-specific nature of the EV theory and the discrepancy between the theoretical framework and empirical models found in previous studies, the purpose of the present study was to explore the factors of the EV theory in multicultural education. Participants were 187 college students who completed the Multicultural Expectancy-Value Scale (EVS). Exploratory factor analysis (EFA) with Bayes estimation and GEOMIN rotation resulted in two factors: Value and Expectancy. The two factors had a positive significant correlation of . 42, p<. 001. Participants with a Master’s or Doctoral degree had significantly higher Expectancy beliefs in multicultural education than those with a Bachelor’s degree (t(47.727)=-2.90, p<. 01). Although our finding was consistent with the major tenets of the theory that expectancy and value beliefs are two primary motivating factors, it did not fully support the theoretical model, indicating a more parsimonious factor structure may be more appropriate. The distinct factor model in our study suggests a need for further research in examining the structural validity of the EV theory in multicultural education
Alohamora: Reviving HTTP/2 Push and Preload by Adapting Policies On the Fly

Despite their promise, HTTP/2’s server push and preload features have seen minimal adoption. The reason is that the efﬁcacy of a push/preload policy depends on subtle relationships between page content, browser state, device resources, and network conditions—static policies that generalize across environments remain elusive. We present Alo-hamora, a system that uses Reinforcement Learning to learn (and apply) the appropriate push/preload policy for a given page load based on inputs characterizing the page structure and execution environment. To ensure practical training despite the large number of pages served by a site and the massive space of potential policies to consider for a given page, Alohamora introduces several key innovations: a page clustering strategy that favorably balances push/preload insight extraction with the number of pages required for training, and a faithful page load simulator that can evaluate a policy in several milliseconds (compared to 10s of seconds with a real browser). Experiments across a wide range of pages and mobile environments (emulation and real-world) reveal that Alohamora accelerates page loads by 19-61%, provides 3.6-4 × more beneﬁts than recent push/preload systems, and properly adapts to never degrade performance.
Continuous Sciatic Nerve Block with 0.1% Bupivacaine and the Early Detection of Compartment Syndrome in a Pediatric Patient: a Case Report

Concerns for regional anesthesia masking pain as a cardinal symptom, and therefore, leading to a delay in recognition of acute compartment syndrome (ACS) have been raised. A 14-year old male with medial malleolus tibial and distal fibula fractures suddenly developed severe pain on postoperative day 1 with a well-functioning sciatic nerve catheter. This pain was not able to be relieved by increasing catheter infusion rate of 0.1% bupivacaine and additional opioids administration. Acute compartment syndrome (ACS) was diagnosed and the patient subsequently underwent de-compressive fasciotomy. The main lesson to learn from this case is that with highly index of clinical suspicion and ongoing assessment, sudden loss of efficacy of continuous nerve block with diluted bupivacaine after extremity surgery is a potential alarm of compartment syndrome in a pediatric patient.
Pengaruh pemberian sari umbi bit (beta vulgaris) terhadap kadar hemoglobin dan performa atlet sepak bola

Background : Nutritional factors in athletes were very influential to lead achievement. Giving special food or drink is also important to improve VO2max. One of the substances that can optimized the levels of VO2max is the content of nitrates in foodstuffs. The beetroot is one source of food with high nitrate content. Objective : This study aimed to analyze the effect of bit extract (beta vulgaris) on Hb Levels and performance among football athlete Methods : Design of quasi experimental research with pretest-post test control group approach, conducted on 18 athletes of UNNES Football Club aged 18-22 years. The treatment of beetroot juice was given for 7 days, consist of P200 treatment group consumed 200 ml, P300 was given 300 ml, while control consumed 300 ml of syrup with the same color with beet extract. Athlete’s performance was obtained with VO2max levels. VO2max measurements were taken twice using MFT (multistage fitness test) on day 1 before intervention and day 7 after intervention. Confounding variables were energy intake, macronutrient intake, iron intake, vitamin C intake, and smoking habits. The analysis using by paired-t-test, kruskal wallis, and one way anova. Result: Most subjects had intake (energy, carbohydrate, fat, protein, iron and vitamin C) less categories. Most of the subjects had a good category VO2 Max and were excellent, as well as not anemic. There was no significant effect of treatment on VO2 Max and Hb level (p <0.05), but the increase in VO2 Max was greater in group P 300 than in group P 200 and control. Hb levels of subjects after intervention decreased, but still relatively normal levels. Conclusions: There was no significant effect of giving beetroot juice on VO2 Max and Hb levels, but the increase in VO2 Max in group P 300 was higher than in P group of 200 and control group.
Deep Spiking Neural Networks With Binary Weights for Object Recognition

Spiking neural networks (SNNs) have shown great potential as a solution for realizing ultralow-power consumption on neuromorphic hardware, but obtaining deep SNNs is still a challenging problem. Existing network conversion methods can effectively obtain SNNs from the trained convolutional neural networks (CNNs) with little performance loss, however, high-precision weights in the converted SNNs would take up high-storage space nonamicable to limited memory resources. To tackle this problem, we analyze the relationship between weights and thresholds of spiking neurons and propose an efficient weights-threshold balance conversion method to obtain SNNs with binary weights, resulting in a significant memory storage reduction. The experimental results evaluated with various network structures on benchmark data sets show that the binary SNN not only needs much less memory resources compared to its high-precision counterpart but also achieves the high-recognition accuracy comparable to other state-of-the-art SNNs.
Efficacy of transverse cerebellar diameter / abdominal circumference ratio - a gestational age independent parameter in assessing fetal growth restriction

It is estimated that the incidence of fetal growth restriction is 3-10%. Fetal growth restriction is associated with substantial perinatal morbidity and mortality. Fetal demise, birth asphyxia, meconium aspiration, neonatal hypoglycemia and hypothermia are all increased in growth restriction. In addition, it has been also found that these growth restricted infants have increased 1year infant mortality rate and abnormal neurological development.
THE TEACHERS’ PERCEPTION ON USING FLASHCARDS AS A MEDIA TO TEACH ENGLISH AT ELEMENTARY SCHOOL

In teaching English, there are various Media used by the teachers especially for elementary school such as flashcard, picture of story book, songs, and movies. Flashcard is an appropriate media for teaching elementary students to learn about English beacuse it can ease the students to learn new language especially English. This research aimed to know the teachers’ perception on using flashcard as learning media at focusing on the strengths and the weaknesses of using flashcard as learning media used by the teachers at elementary school. Descriptive qualitative was used in this research. In this research, the researcher used interview to get the data. Besides, this research was conducted at one of elementary schools in Bantul, Yogyakarta. There were three teachers of elementary school as the participants of this research. Besides, the findings showed those six strengths and three weaknesses on using flashcard as learning media in elementary school. This research found six strengths and three weaknesses of using flashcard as a media in elementary school. Those strengths of using flashcard as a media were developing students’ vocabulary, understanding the material eaisly, creating fun learning, enhancing students’ creativity, having pictures and colour, and becoming simple and effective media learning for English. Besides, the participants also declared that there were three weaknesses of using falshcard as learning media at elementary school were learning new vocabulary, becoming too small flashcard size, and focus on sense visions only.
Microbiological study of effects of solid organic waste (chicken droppings and sheep manure) decomposed in the soil used for Pisum sativum cultivation

ABSTRACT Organic agriculture uses biofertilisers which can increase yields and enhance qualities of foodstuffs. This present work examines the composting of chicken droppings and sheep manure and their effects on Pisum sativum cultivation. The biodiversity of chicken droppings’ filamentous fungi is different from that of sheep manure. In addition, filamentous fungi associated with the decomposition of chicken droppings in the soil were mainly pathogenic and phytopathogenic fungal species. The study has shown that sheep manure is a good biofertiliser to improve crop yield and quality. The use of chicken droppings as biofertilisers without maturation may cause risks to the environment and public health.
Application of deep learning with stratified K-fold for vegetation species discrimation in a protected mountainous region using Sentinel-2 image

Abstract Understanding the spatial distribution of vegetation species is essential to gain knowledge on the recovery process of an ecosystem. Few studies have used deep learning and machine learning models for image processing focusing on forest/crop classification. This study, therefore, makes use of a multi-layer perceptron (MLP) deep neural network to discriminate grass species in a mountainous region using Sentinel-2 images. Vegetation indices, Sentinel-1 and ASTER DEM were combined with Sentinel-2 images to improve classification accuracy. Stratified K-fold was used to ensure balanced training and test data. The results, when compared with other commonly used machine learning models, outperformed them all. It produced a better discriminate of the grass species when ASTER DEM was combined with Sentinel-2 images, with overall F1 score of 92%. The results of the species discrimination show a general increase in increaser II species such as Eragrostis curvula and a decrease in decreaser species like Phragmites australis.
TRIM32, but not its muscular dystrophy-associated mutant, positively regulates and is targeted to autophagic degradation by p62/SQSTM1

ABSTRACT The tripartite motif (TRIM) proteins constitute a family of ubiquitin E3 ligases involved in a multitude of cellular processes, including protein homeostasis and autophagy. TRIM32 is characterized by six protein–protein interaction domains termed NHL, various point mutations in which are associated with limb-girdle-muscular dystrophy 2H (LGMD2H). Here, we show that TRIM32 is an autophagy substrate. Lysosomal degradation of TRIM32 was dependent on ATG7 and blocked by knockout of the five autophagy receptors p62 (also known as SQSTM1), NBR1, NDP52 (also known as CALCOCO2), TAX1BP1 and OPTN, pointing towards degradation by selective autophagy. p62 directed TRIM32 to lysosomal degradation, while TRIM32 mono-ubiquitylated p62 on lysine residues involved in regulation of p62 activity. Loss of TRIM32 impaired p62 sequestration, while reintroduction of TRIM32 facilitated p62 dot formation and its autophagic degradation. A TRIM32LGMD2H disease mutant was unable to undergo autophagic degradation and to mono-ubiquitylate p62, and its reintroduction into the TRIM32-knockout cells did not affect p62 dot formation. In light of the important roles of autophagy and p62 in muscle cell proteostasis, our results point towards impaired TRIM32-mediated regulation of p62 activity as a pathological mechanisms in LGMD2H. Highlighted Article: Mutations in the E3 ligase TRIM32 associated with the muscular dystrophy disease LGMD2H, impair its autophagic degradation and its ability to activate the autophagy receptor p62/SQSTM1.
Guided Autonomy for Quadcopter Photography

Photographing small objects with a quadcopter is non-trivial to perform with many common user interfaces, especially when it requires maneuvering an Unmanned Aerial Vehicle (UAV) to difficult angles in order to shoot high perspectives. The aim of this research is to employ machine learning to support better user interfaces for quadcopter photography. Human Robot Interaction (HRI) is supported by visual servoing, a specialized vision system for real-time object detection, and control policies acquired through reinforcement learning (RL). Two investigations of guided autonomy were conducted. In the first, the user directed the quadcopter with a sketch based interface, and periods of user direction were interspersed with periods of autonomous flight. In the second, the user directs the quadcopter by taking a single photo with a handheld mobile device, and the quadcopter autonomously flies to the requested vantage point. This dissertation focuses on the following problems: 1) evaluating different user interface paradigms for dynamic photography in a GPS-denied environment; 2) learning better Convolutional Neural Network (CNN) object detection models to assure a higher precision in detecting human subjects than the currently available state-of-the-art fast models; 3) transferring learning from the Gazebo simulation into the real world; 4) learning robust control policies using deep reinforcement learning to maneuver the quadcopter to multiple shooting positions with minimal human interaction.
A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process

In Egypt, people are unable to determine the qualities of appropriate residence that achieves quality and occupant satisfaction, and contributes to sustainability of residential conglomerations. In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed.
Oxidative parameters, oxidative DNA damage, and urotensin-II in schizoaffective disorder patients

ABSTRACT OBJECTIVE: Complexity of schizoaffective disorder makes the identification of its pathophysiology a great challenge and there are very limited published data about the role of oxidative stress. Oxidative DNA damage has not been investigated in schizoaffective disorder. Therefore, we aimed to evaluate oxidative DNA damage together with oxidative stress and urotensin-II in patients with schizoaffective disorder. METHODS: Fifty-four patients who were diagnosed as schizoaffective disorder bipolar type (27 of them were in symptomatic remission and 27 of them were not) and 27 healthy volunteers were included in the study. Total antioxidant status (TAS), total oxidant status (TOS), oxidative stress index (OSI), serum 8-hydroxy-2'-deoxyguanosine (8-OHdG), and urotensin-II (U-II) levels were calculated and evaluated. RESULTS: TAS and U-II levels were found to be lower in the patient group with and without remission when compared with the control group separately. There were no significant difference in terms of TOS, OSI, and 8-OHdG. Similar results were obtained when those in symptomatic remission and non-remission patient groups were combined and compared with the control group. CONCLUSION: TAS levels in schizoaffective disorder patients were lower than controls, which may mean a vulnerability to the oxidative stress but there were no differences in terms of oxidative DNA damage. U-II levels in schizoaffective disorder patients were significantly lower than controls in contrast with our previous study.
Sovereign Exposures of European Banks: It Is Not All Doom

We investigate whether sovereign bond holdings of European banks are determined by a risk–return trade-off. Using data between 2011 and 2018 for 75 European banks, we confirm that banks exhibited risk-taking behavior during the sovereign debt crisis, e.g., due to moral suasion. In the period 2015–2018, however, banks’ investments in sovereign bonds are characterized by sound risk–return considerations, suggesting a lessening of the doom loop. This result is mainly driven by banks in the core European countries, as banks in the GIPS countries do not exhibit such behavior, nor do they avoid riskier bonds following the sovereign debt crisis.
Language transfer and positional bias in English stress

This article shows that first language (L1) transfer may not be effectively maintained in the interlanguage due to confounding factors in the second language (L2). When two factors, A and B , are correlated in the L2, second language learners may only acquire B , even if A is present in the L1. Transfer may not be effective because B , being more robust in the input, conceals A . Native speakers, on the other hand, generalize A in spite of B . The variables in question are weight-sensitivity ( A ) and positional bias ( B ) in English, both of which can predict the location of stress in the language. I show that two seemingly target-like groups of second language learners of English (speakers of Mandarin and speakers Portuguese) fail to accurately generalize weight-sensitivity in the language, and instead display response patterns which are predictable given the existing positional bias in English stress.
Recovery of hypoglycemia symptoms after insulinoma negative pancreatic surgery: Case series

Insulinoma, one of the most common endocrine tumors of the pancreas, is usually benign, solitary and has an intrapancreatic location. Precise localization of insulinoma is important for curative treatment. This study looks at 5 patients who underwent operation for insulinoma. The median age, body mass index, preoperative insulin and C-peptide levels, and length of hospital stay were 36 years, 27 kg/m2, 32 μU/ml, 7ng/ml and 21 days, respectively. An endoscopic ultrasound (EUS) and intraoperative ultrasound (I-OUS) were conducted on all of the patients. Enucleation was performed on 3 patients and distal pancreatectomy ± splenectomy on 2 patients. Furthermore, the histopathological examination conducted on the patients showed insulinoma in 3 patients and granulomatous lymphadenitis in 1 patient, with one observed to have normal pancreas tissues. Following the operation, the glucose level of all patients was found to be within a normal range. Distal pancreatectomy and enucleation can only be performed after determining precise localization of insulinoma via EUS and I-OUS.
Development and Effects of a Loving-Kindness and Compassion Meditation Program to Improve Maternal-Fetal Attachment

Background: The psychological health of a pregnant woman and a healthy fetal relationship are important for perinatal adaptation. This study aimed to develop loving-kindness and compassion meditation (LKCM), which are known to be effective for improving interpersonal relationships and to verify its effectiveness in order to promote maternal-fetal attachment (MFA). Methods: We developed an LKCM curriculum and training program for pregnant women and assessed its efficacy for improving MFA, positive emotion, mindfulness, and positive fetal movement experience (PFME) through a pre-intervention, post-intervention, and one-month follow-up comparison with a yoga comparison group and an untreated control group. Results: The LKCM experimental group showed significantly improved MFA, positive emotion, mindfulness, and PFME than did the other groups at post-intervention and follow-up. Conclusions: Overall, this study confirmed that LKCM interventions can promote MFA, positive emotions, mindfulness, and PFME. Thus, it is meaningful that this study served to foster beneficial psychological resources compared to numerous studies aiming to improve deficits experienced by pregnant women. Additionally, this is the first full-scale study to develop a program based on specialized LKCM to enhance MFA during pregnancy and verify its efficacy.