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Due to advances in technology, social media has become the most popular medium for spreading news. Many messages are published on social media sites such as Facebook, Twitter, Instagram, etc. Social media platforms also provide opportunities to express opinions and social phenomena such as hate, offensive language, racism, sexual content, and all forms of verbal violence, which have amazingly increased. These behaviors do not only affect specific countries, groups, or societies but extend beyond these areas into people's daily lives. This study examines sexual content and harassment discourse in Arabic social media to build an accurate system for detecting sexual harassment expressions. The dataset was collected from Twitter posts to make the classification. A deep learning model was developed as a classification system to identify sexual speech using Bidirectional Long-Short-Term Memory (BiLSTM), Temporal Convolutional Network (TCN) with word embedding and the FastText previously trained on the Arabic language model. The proposed (TCN-BiLSTM) model was compared with Extreme Gradient Boosting (XGBoost). The CASH dataset implemented with the (TCN -Bi-LSTM) model gate obtained an accuracy rate of 96.65% and an F0.5 value of 0.969. The implementation of XGBoost using word embeddings resulted in an accuracy rate of 92.56% and an F0.5 value of 0.925. Findings and manual interpretation showed that different text representation methods with various deep learning algorithms obtain higher classification performance easily in complex sentences. This strategy is helpful with languages that are difficult to study morphologically, like Arabic, Turkish, and Lithuanian.

In conjunction with the global concern regarding the spread of fake news on social media, there is a large flow of research to address this phenomenon. The wide growth in social media and online forums has made it easy for legitimate news to merge with comprehensive misleading news, negatively affecting people’s perceptions and misleading them. As such, this study aims to use deep learning, pre-trained models, and machine learning to predict Arabic and English fake news based on three public and available datasets: the Fake-or-Real dataset, the AraNews dataset, and the Sentimental LIAR dataset. Based on GloVe (Global Vectors) and FastText pre-trained models, A hybrid network has been proposed to improve the prediction of fake news. In this proposed network, CNN (Convolution Neural Network) was used to identify the most important features. In contrast, BiGRU (Bidirectional Gated Recurrent Unit) was used to measure the long-term dependency of sequences. Finally, multi-layer perceptron (MLP) is applied to classify the article news as fake or real. On the other hand, an Improved Random Forest Model is built based on the embedding values extracted from BERT (Bidirectional Encoder Representations from Transformers) pre-trained model and the relevant speaker-based features. These relevant features are identified by a fuzzy model based on feature selection methods. Accuracy was used as a measure of the quality of our proposed models, whereby the prediction accuracy reached 0.9935, 0.9473, and 0.7481 for the Fake-or-Real dataset, AraNews dataset, and Sentimental LAIR dataset respectively. The proposed models showed a significant improvement in the accuracy of predicting Arabic and English fake news compared to previous studies that used the same datasets.

Recently, the phenomenon of the spread of fake news or misinformation in most fields has taken on a wide resonance in societies. Combating this phenomenon and detecting misleading information manually is rather boring, takes a long time, and impractical. It is therefore necessary to rely on the fields of artificial intelligence to solve this problem. As such, this study aims to use deep learning techniques to detect Arabic fake news based on Arabic dataset called the AraNews dataset. This dataset contains news articles covering multiple fields such as politics, economy, culture, sports and others. A Hybrid Deep Neural Network has been proposed to improve accuracy. This network focuses on the properties of both the Text-Convolution Neural Network (Text-CNN) and Long Short-Term Memory (LSTM) architecture to produce efficient hybrid model. Text-CNN is used to identify the relevant features, whereas the LSTM is applied to deal with the long-term dependency of sequence. The results showed that when trained individually, the proposed model outperformed both the Text-CNN and the LSTM. Accuracy was used as a measure of model quality, whereby the accuracy of the Hybrid Deep Neural Network is (0.914), while the accuracy of both Text-CNN and LSTM is (0.859) and (0.878), respectively. Moreover, the results of our proposed model are better compared to previous work that used the same dataset (AraNews dataset).

Junko Iwatsuki,1,2 Takeshi Kondo,3 Noriyuki Takahashi,3– 5 Hideki Takami,3 Hiroshi Nishigori,6 Itzel Bustos-Villalobos,7 Branko Aleksic,7,8 Hideki Kasuya,7 Nobutaro Ban,9 Tetsuya Yagi,10 Norbert Skokauskas11,12 1International Collaboration Planning Center, Institute of International Education and Exchange, Nagoya University, Nagoya, Japan; 2Present Affiliation is Office for International Education and Exchange, Faculty and Graduate School of Economics, Kobe University, Kobe, Japan; 3Center for Postgraduate Clinical Training and Career Development, Nagoya University Hospital, Nagoya, Japan; 4Department of General Medicine/Family & Community Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan; 5Department of Education for Community-Oriented Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan; 6Center for Medical Education, Nagoya University Graduate School of Medicine, Nagoya, Japan; 7Department of International Medical Education, Nagoya University Graduate School of Medicine, Nagoya, Japan; 8Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan; 9Medical Education Center, Aichi Medical University School of Medicine, Nagakute, Japan; 10Department of Infectious Diseases, Nagoya University Graduate School of Medicine, Nagoya, Japan; 11Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway; 12Department of Child and Adolescent Psychiatry, St. Olavs University Hospital, Trondheim, NorwayCorrespondence: Branko AleksicNagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-ku, Nagoya, 466-8550, JapanTel +81 52 7442282Fax +81 52 7442293Email branko@med.nagoya-u.ac.jpPurpose: Japanese higher education institutions have long been striving for the globalization of medical education. Nagoya University (NU) adopted PBL as a means of enhancing intercultural awareness in globalizing medical education by working with the Norwegian University of Science and Technology (NTNU), Faculty of Medicine and Health Science, under the Trondheim NTNU-Nagoya (TroNa) partnership for mobility and internationalization of child and mental health studies. This study aims to assess students’ attitudes towards PBL and to suggest future developments in this form of education by introducing common PBL scenarios experienced at NTNU and NU.Methods: Two 90-minute PBL sessions were conducted at NU. Ten groups of medical students were formed, each consisting of up to 10 students, and students were asked to fill in a questionnaire developed to assess their understanding of, attitudes to and satisfaction with the classes. We investigated three different groups of questions on: NU medical students’ general impressions of PBL; their impressions of PBL in child and adolescent psychiatry (CAP); and their impressions of PBL in specific case scenarios. Correlations between each of the questions from the three groups were evaluated using multivariate analysis.Results: Overall, a majority of the NU medical students were satisfied with PBL, while a small number preferred traditional lecture-style learning (5%). More than half of the students agreed that PBL increased their understanding and interest in CAP (53%), although some male students felt that the amount of time spent was insufficient (20.3%). Correlations were seen for students who thought that PBL enhanced their understanding of and interest in CAP. Regarding case scenarios, most students (82.5%) agreed that PBL helped them to develop clinical problem-solving skills.Conclusion: The study found an overall positive attitude towards PBL, PBL in CAP and the specific PBL case scenario presented.Keywords: problem-based learning, child psychiatry, children and mental health, English medical education, internationalization

Semantic segmentation is an exciting research topic in medical image analysis because it aims to detect objects in medical images. In recent years, approaches based on deep learning have shown a more reliable performance than traditional approaches in medical image segmentation. The U-Net network is one of the most successful end-to-end convolutional neural networks (CNNs) presented for medical image segmentation. This paper proposes a multiscale Residual Dilated convolution neural network (MSRD-UNet) based on U-Net. MSRD-UNet replaced the traditional convolution block with a novel deeper block that fuses multi-layer features using dilated and residual convolution. In addition, the squeeze and execution attention mechanism (SE) and the skip connections are redesigned to give a more reliable fusion of features. MSRD-UNet allows aggregation of contextual information, and the network goes without needing to increase the number of parameters or required floating-point operations (FLOPS). The proposed model was evaluated on three multimodal datasets: polyp, skin lesion, and nuclei segmentation. The obtained results proved that the MSDR-Unet model outperforms several state-of-the-art U-Net-based methods.

Daiji Nagayama,1,2 Haruki Imamura,2 Yuta Sato,2 Takashi Yamaguchi,2 Noriko Ban,2 Hidetoshi Kawana,2 Masahiro Ohira,2 Atsuhito Saiki,2 Kohji Shirai,3 Ichiro Tatsuno2 1Center of Endocrinology and Metabolism, Shin-Oyama City Hospital, Oyama-City, 2Center of Diabetes, Endocrinology and Metabolism, 3Department of Vascular Function, Sakura Medical Center, Toho University, Sakura-City, Japan Objective: The objective of this study is to investigate the association of body mass index (BMI) with arterial stiffness assessed by cardioankle vascular index (CAVI). Subjects and methods: A retrospective cross-sectional study was conducted in 23,257 healthy Japanese subjects (12,729 men and 10,528 women, aged 47.1 ± 12.5 years, BMI 22.9 ± 3.4 kg/m2) who underwent health screening between 2004 and 2006 in Japan. Exclusion criteria were current medication use and a past history of cardiovascular disease, hypertension, stroke, diabetes, and nephritis. Results: Male subjects showed significantly higher BMI, CAVI, and triglycerides and lower high-density lipoprotein (HDL)-cholesterol compared with female subjects. Next, the subjects were divided into tertiles of BMI: lower, middle, and upper, in a gender-specific manner. After adjusting for confounders including age, systolic blood pressure, and HDL-cholesterol identified by multiple regression analysis, the mean CAVI decreased progressively as BMI tertile increased in both genders. Furthermore, a negative inverse relationship between BMI and adjusted CAVI was observed throughout the BMI distribution. Multivariate logistic regression model for contributors of high CAVI (≥90th percentile) identified obesity (odds ratios (95% confidence interval): 0.804 (0.720–0.899)], older age [15.6 (14.0–17.4)], male gender [2.26 (2.03–2.51)], hypertension [2.28 (2.06–2.54)], impaired fasting glucose [1.17 (1.01–1.37)], and low HDL-cholesterol [0.843 (0.669–1.06)] as independent factors. Conclusion: We demonstrated an inverse relationship between CAVI and BMI in healthy Japanese subjects, suggesting that systemic accumulation of adipose tissue per se may lead to a linear decrease of arterial stiffness in nonobese and obese subjects without metabolic disorders. Keywords: BMI, cardioankle vascular index, arterial stiffness

Background: Patient adherence to cardioprotective medications improves outcomes of acute coronary syndrome (ACS), but few adherence-enhancing interventions have been tested in low-income and middle-income countries.Objectives: We aimed to assess whether a pharmacist-led intervention enhances medication adherence in patients with ACS and reduces mortality and hospital readmission.Methods: We conducted a randomized controlled trial in Vietnam. Patients with ACS were recruited, randomized to the intervention or usual care prior to discharge, and followed 3 months after discharge. Intervention patients received educational and behavioral interventions by a pharmacist. Primary outcome was the proportion of adherent patients 1 month after discharge. Adherence was a combined measure of self-reported adherence (the 8–item Morisky Medication Adherence Scale) and obtaining repeat prescriptions on time. Secondary outcomes were (1) the proportion of patients adherent to medication; (2) rates of mortality and hospital readmission; and (3) change in quality of life from baseline assessed with the European Quality of Life Questionnaire – 5 Dimensions – 3 Levels at 3 months after discharge. Logistic regression was used to analyze data. Registration: ClinicalTrials.gov (NCT02787941).Results: Overall, 166 patients (87 control, 79 intervention) were included (mean age 61.2 years, 73% male). In the analysis excluding patients from the intervention group who did not receive the intervention and excluding all patients who withdrew, were lost to follow-up, died or were readmitted to hospital, a greater proportion of patients were adherent in the intervention compared with the control at 1 month (90.0% vs. 76.5%; adjusted OR = 2.77; 95% CI, 1.01–7.62) and at 3 months after discharge (90.2% vs. 77.0%; adjusted OR = 3.68; 95% CI, 1.14–11.88). There was no significant difference in median change of EQ-5D-3L index values between intervention and control [0.000 (0.000; 0.275) vs. 0.234 (0.000; 0.379); p = 0.081]. Rates of mortality, readmission, or both were 0.8, 10.3, or 11.1%, respectively; with no significant differences between the 2 groups.Conclusion: Pharmacist-led interventions increased patient adherence to medication regimens by over 13% in the first 3 months after ACS hospital discharge, but not quality of life, mortality and readmission. These results are promising but should be tested in other settings prior to broader dissemination.

Masahiro Hirose, Rieko Kondo, Naoaki Ban, Kazunobu Kuwabara, Mamoru Shiga, Takahiko Horiguchi Department of Respiratory Medicine II, Fujita Health University School of Medicine, Nagoya, Aichi, Japan Background: The number of elderly patients with asthma has been increasing in Japan. Treatment for these patients should be provided based on the condition of individual patients. This study was performed to clarify the relationship between inhalation procedure and sex difference in elderly patients with asthma.Methods: The inhalation procedure was examined in 155 elderly patients with asthma (male: n=66, average age ± standard deviation: 75.5±5.65 years old; female: n=89, average age ± standard deviation: 78.7±6.87 years old) during a medical examination.Results: For the three items that were common to all devices, the percentages of the 155 patients who could/could not perform the actions were examined by separate Fisher’s exact tests for males and females. A statistically significant difference (P=0.007) was observed for “breath holding”, and more females than males were not able to hold their breath. Although no significant difference was seen in the “accurate number of times of inhalation”, females tended to not be able to inhale accurately compared to males (P=0.072).Conclusion: Our results suggest that elderly female patients with asthma have less understanding of inhaled steroid therapy, compared to elderly male patients. Therefore, it is particularly important to confirm that the correct inhalation procedure is used by elderly female patients with asthma. Keywords: asthma, elderly, sex, inhalation, therapyA Letter to the Editor has been received and published for this article.

Masahiro Ohira,1 Takashi Yamaguchi,1 Atsuhito Saiki,1 Noriko Ban,1 Hidetoshi Kawana,1 Ayako Nagumo,1 Takeyoshi Murano,2 Kohji Shirai,3 Ichiro Tatsuno1 1Center for Diabetes, Endocrinology and Metabolism, 2Department of Clinical Laboratory Medicine, 3Department of Vascular Function, Sakura Hospital, Toho University Medical Center, Chiba, Japan Background: Type 2 diabetes is known to be associated with elevated cardiovascular mortality. Pioglitazone improves blood pressure (BP) and pulse wave velocity (PWV), which is an arterial stiffness parameter. Arterial stiffness is closely associated with cardiovascular disease. However, PWV is correlated with BP. The cardio-ankle vascular index (CAVI) reflects arterial stiffness independent of BP. Pioglitazone improves PWV but reduces blood pressure. The aim of this study was to re-evaluate the effect of pioglitazone on arterial stiffness with CAVI. Methods: Sixty patients with type 2 diabetes mellitus and already on 500 mg/day of metformin received add-on therapy of pioglitazone 15 mg/day or glimepiride 1 mg/day for 6 months, during which time changes in their metabolic parameters and CAVI were observed. Results: After 6 months of treatment, both pioglitazone (n=30) and glimepiride (n=30) improved fasting blood glucose and glycated hemoglobin. The changes in fasting blood glucose and glycated hemoglobin between the two groups were greater in the pioglitazone group. Systolic and diastolic BP was decreased in both groups, with no significant between-group differences. Only pioglitazone increased serum adiponectin levels, and the change in adiponectin between the pioglitazone and glimepiride groups was significantly different. CAVI was decreased significantly by pioglitazone but remained unchanged after treatment with glimepiride. The change in CAVI between the two groups was significantly different. Conclusion: These results suggest that pioglitazone improves CAVI, a BP-independent arterial stiffness parameter, in patients with type 2 diabetes mellitus treated with metformin. Keywords: biguanide, thiazolidinediones, sulfonylurea, blood pressure, cardiovascular disease, arterial stiffness

This study was conducted to detect the ability of E.coli isolated from diarrhea to produce biofilm and protection against diseases cause by these bacteria compared with whole cell sonicated antigen. One hundred two fecal samples (52 fecal samples from cows, calves and 50 fecal samples from sheep,goat) were collected from College of veterinary medicine-university of Baghdad, College of Agriculture-university of Baghdad, Dora zone and Abu-Ghraib zone. Samples were cultured on MacConkey and Eosin Methylene Blue agar and after purification of cultured bacteria, biochemical tests, API 20 E System and RapIDTM ONE System kit were done. Results showed that 91 out of 102 fecal samples have the characteristics belong to E.coli ,the ability of these isolates to produce biofilm were detected and the results showed that 38 out of 49 E.coli isolates from fecal samples of cow produce biofilm (77.55%)and 39 out of 42 E.coli isolates from fecal samples of sheep produce biofilm (92.85%) with different thickness ranged between (0.2-2)mm, while 11 isolates from 49 fecal samples of cow and calves and 39 isolates from 42 fecal samples of sheep had not produce biofilm. The results showed that protein concentration of biofilm was 92 mg/ml for one isolate and 70 mg/ ml for the whole sonicated antigen of the bacteria that produce biofilm. Three types of bacterial antigens were prepared as follow; Whole cell sonicated antigen (WCA) of biofilm producer E.coli, biofilm extract antigen (biA) with protein concentration 3.5 mg/ml and biofilm extract antigen (biA) with protein concentration 14 mg/ml, then these antigens were injected in 50 healthy White BALB mice. Results showed that survival time of animals in the immunized group with biofilm antigen of high protein concentration (14 mg/ml) was longer (652.8 hrs) than animals immunized with whole sonicated antigen of protein concentration 3.5 mg/ml antigen (378 hrs ) and than the group with biofilm antigen of protein concentration 3.5 mg/ml (513.6 hrs) , heavy bacterial isolation were recorded in the internal organs of the immunized infected animals at (12-48) hours post infection, while moderate bacterial isolation at day 30 post infection. Histopathological examination showed large abscess which caused adhesion of liver with stomach and spleen with stomach and pancreas surround by dense cellular fibrous tissue, the result showed that all animals of control positive group,5 animals of group injected with(WCA) produce biofilm,3 animals of group injected with (biA) 3.5 mg/ml and 1 animal of group injected with (biA) 14 mg/ml were died during 12-48 hours post infection, acute suppurative reaction were seen in internal organs of animals died at 12-24 hours post infection, granulomatous lesions were seen in most internal organs of animals in group 2 , 3 and 4 at day 30 post challenge, while mild inflammatory reaction was recorded in most internal organs of group 4 at day 30 post challenge.

Background: Pregnancy is a crucial time to promote health thus good antenatal care can promote mother and new born health &links mother with formal health system with increasing chance of using a skilled attendant at birth while inadequate care during this time increases mortality & morbidity of mother & new born. Objectives: Assessment of Antenatal Care Services in relation with Iron deficiency anemia during pregnancy. Patients and Methods; A descriptive study was carried out in 12 health centers , which were chosen randomly in Behri area (part of Khartoum City) in Sudan that (300) available pregnant females in 3rd trimester were interviewed (using non probability convenience sampling) by using a questionnaire paper during the period between September– December2010. Results; The study revealed that most of females were educated & all of their husbands were educated, more than half of them were over thirty & 22% below fifteen , about quarter of them had history of previous abortion & had complications mostly hypertension .The prevalence of anemia was 60% , 40% had mild anemia (mean hemoglobin & S.D 10.18, ±0.51), C.I (10.58 –9.79) , p value

Background The application of nanotechnology to biomedical surfaces is explained by the ability of cells to interact with nanometric features. The aim of this study was to consider the role of nanoscale topographic modification of CPTi dental implant using chemical etching method for the purpose of improving osseointegration. Materials and methods: Commercial pure titanium rod was machined into 20 dental implants. Each implant was machined in diameter about 3mm, length of 8mm (5mm was threaded part and 3mm was flat part). Implants were prepared and divided into 2 groups according to the types of surface modification method used: 1st group (10 implant) remained without nano surface modification (control), 2nd group include (10 implant) etched with 15N H2SO4 and 30% H2O2, Surfaces were characterized by scanning electron microscope (SEM), Xray diffraction (XRD), atomic force microscope (AFM), thickness measurement for the invitro experiments. While for invivo part tibia of 5 white new Zealand rabbits were chosen as implantation sites. The tibia of each rabbit received two screws. Biomechanical test was performed to understand the bone-implant interface, after two weeks healing periods. Implants from 4animals were tested for the torque required to remove the implant from the bone and the other one animal was prepared for histological examination. Results and Conclusion: For in vitro results, scanning electron microscope showed that the chemical etching of Ti substrate becomes highly porous and has surface consisting of nanosized pits. Removal torque means value after 2 weeks of implantation mentioned that, there was a gradual increase in the removal torque mean values as a follow (M±SD): 12.625(N.cm) ± 0.517, 30.500(N.cm) ± 4.071for machined surface(X), nano chemically etched (X1) respectively. In addition, the histological analysis showed improved quality of bone in response to the nano modified screws, that the chemically treated implants shows trabeculated thread.