bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motivation, Identity, and Emergence of Self: ESL Learners in Bridge Course at Aligarh Muslim University
Authors: Imtiaz Shagufta , Shams Anam , Adam Mirza 
Published: November 2022

The study aims at viewing the second language learners enrolled in the Bridge Course of English, at Aligarh Muslim University (AMU). The Bridge Course is of a year’s duration and the objective is to prepare the learner with ‘institutionalised supplement education and wider employment avenues’. This is done with the aim to mainstream the ESL learners who have Urdu as their mother tongue and have learned Arabic as a foreign language in Madarsa. Their need to learn a second foreign language, which is the global English, has been explored from the perspective of motivation and identity. The study attempts to probe into the dimensions of identity and emergence of self among learners. It has been substantiated with quantitative and qualitative analysis by using SPSS version 17 software and one way ANOVA univariate test. The findings suggest that, compared to the learners’ having only instrumental motivation towards the target language, their possession of both integrative and instrumental motivation in line with their ideal self and ought-to self were invested more into the learning of target language.
Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory
Authors: Balouchestani Mohammadreza , Raahemifar Kaamran , Krishnan Sridhar 
Published: November 2022

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<p>Wireless Body Area Networks (WBANs) consist of tiny Biomedical Wireless Sensors (BWSs) and a Gate Way (GW) to connect to the external databases in the hospital and medical centres. The GW could connect the BWSs, to a range of wireless telecomnumication networks. These wireless telecommunication networks could be either a mobile phone network, a standard telephone network a dedicated medical centre or using public Wireless Local Area Networks (WLANs) nodes also known a Wi-Fi system. The electrocardiogram (ECG) signals are widely used in health care systems because they are non-invasive mechanisms to establish medical diagnosis of heart diseases. The current ECG systems suffer from important limitations: limited patient's mobility, limited energy, limited on wireless applications. The main drawback of current EGG systems is the location-specific nature of the systems due to the use of fixed/wired applications. That is why; there is a critical need to improve the current ECG systems to cover security handling and to achieve extended patient's mobility. With this in mind, Compressed Sensing (CS) procedure and the collaboration of Block Sparse Bayesian Learning (BSBL) framework is used to provide a robust low sampling-rate approach for normal and abnormal ECG signals. Advanced WBANs based on our approach will be able to deliver healthcare not only to patients in hospital and medical centres; but also in their homes and workplaces thus offering cost saving, and improving the quality of life. Our simulation results based on two proposed algorithms illustrate 15% incensement of Signal to Noise Ratio (SNR) and a good level of quality for the degree of incoherence between the random measurement and sparsity matrices.</p>
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Knowledge-Based Green’s Kernel for Support Vector Regression
Authors: Farooq Tahir , Guergachi Aziz , Krishnan Sridhar 
Published: November 2022

<p> This paper presents a novel prior knowledge-based Green's kernel for support vector regression (SVR). After reviewing the correspondence between support vector kernels used in support vector machines (SVMs) and regularization operators used in regularization networks and the use of Green's function of their corresponding regularization operators to construct support vector kernels, a mathematical framework is presented to obtain the domain knowledge about magnitude of the Fourier transform of the function to be predicted and design a prior knowledge-based Green's kernel that exhibits optimal regularization properties by using the concept of matched filters. The matched filter behavior of the proposed kernel function makes it suitable for signals corrupted with noise that includes many real world systems. We conduct several experiments mostly using benchmark datasets to compare the performance of our proposed technique with the results already published in literature for other existing support vector kernel over a variety of settings including different noise levels, noise models, loss functions, and SVM variations. Experimental results indicate that knowledge-based Green's kernel could be seen as a good choice among the other candidate kernel functions. </p>
Performance analysis of adaptive OFDM modulation scheme in VLC vehicular communication network in realistic noise environment
Authors: Farahneh Hasan , Hussain Fatima , Fernando Xavier 
Published: November 2022

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<p>Optical wireless communications (OWC) has emerged as a strong candidate for wireless communications, due to the capacity limitation in the radio frequency (RF) spectrum. Especially visible light communication (VLC) has great potential for short-range outdoor vehicular communications, as vehicle LED lights also transmit data. However, outdoor VLC channels vary fast and, experience multipath scattering and reflection resulting in time domain dispersion. Outdoor VLC links are also subjected to high levels of ambient noise, especially from the sun. Orthogonal frequency-division multiplexing (OFDM), which has proven robustness to multi path fading and noise effects in RF links can also be deployed in VLC links. In this paper, optical OFDM (O-OFDM) along with adaptive modulation scheme is investigated in VLC for vehicle to vehicle (V2V) communications. A (2 x 2) multiple input multiple output (MIMO) channel, with multiple polarimetric bidirectional reflections and realistic sunlight interference is considered. Two schemes of O-OFDM; direct current biased optical OFDM (DCO-OFDM) and asymmetrically clipped optical OFDM (ACO-OFDM) are investigated. Simulation results of the proposed model show increase in data rates up to 50 Mbps along with reduced bit error rate (BER) under both line of sight (LOS) and non-LOS and high noise conditions.</p>
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Social Perspectives of COVID-19 Pandemic in Bangladesh: A Review
Authors: Alam Safaet , Emon Nazim Uddin , Hosaain Md Jamal , Rudra Sajib , Khan Md Robin , Islam Md Rabiul , Ahmed Nazim Uddin , Islam Md Monirul 
Published: November 2022

The natural spread of various harmful organisms into the environment has resulted in a wide range of diseases worldwide, including in Bangladesh. In December 2019, the world was exposed to a new virus-mediated sickness known as coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which has mostly afflicted mainland China but has thereafter quickly spread to all the continents. The ongoing pandemic has taken the lives of more than 4.5 million people out of more than 10 million confirmed COVID-19 cases as of August 22, 2021. With an increase in infection and fatality rates, Dhaka, has become the most vulnerable to COVID-19. To deal with the emergency, the government of Bangladesh has imposed different measures including lockdown in various stages. The colossal effort of the government of Bangladesh deserves a standing ovation in order to mitigate the situation timely. Based on the current circumstances, it is undeniable that the situation will not be alleviated despite the government's sincere efforts and enforcement of rules unless the country's citizens are aware and willing to follow the prescribed prevention and control measures. This literature review compiles and summarizes the morphology, mechanism, current status, likely therapies, and preventative strategies for this novel coronavirus strain in Bangladesh.
Bangladesh Journal of Infectious Diseases, April 2022;9(Suppl_1): S28-S39
Promoting Face Masks Use in Delta Variant Wave of COVID-19 and Tackling Common Reasons of Refusal to Wear Masks
Authors: Irfan Shayan Ali , Siddiqui Abdul Rafay , Ali Baig Mirza Mehmood , Ahmed Ali 
Published: November 2022

Abstract not available
Bangladesh Journal of Infectious Diseases, April 2022;9(Suppl_1): S60-S61
Validitas Video Animasi Powtoon Kelas X SMA Berdasarkan Hasil Inventarisasi Jamur Makroskopis
Authors: Khairi Khairi , Yeni Laili Fitri , Titin Titin 
Published: November 2022

Powtoon is an software animation video that can be accessed online, contains simple and interesting animations, and provides music facilities and can record narration. This study aims to determine the feasibility of an animated video powtoon based on the results of an inventory of macroscopic fungi found in the Sekadau Mount Protection Forest, Sambas Regency. The research instrument used is a validation sheet, which includes aspects of format, content, language, simplicity, illustrations, media quality, and attractiveness. This type of research is research and development with the Plomp model. The results showed that the validation of the animated video powtoon was carried out by five validators with a CVI (Content Validity Index) value of 0.99 which was declared feasible. Based on the validation results, it can be concluded that the animated powtoon video in the class X high school mushroom classification submaterial is declared suitable for use as a learning medium.
Antimony resistance mechanism in genetically different clinical isolates of Indian Kala-azar patients
Authors: Khanra Supriya , Das Shantanabha , Sarraf Nibedeeta Rani , Datta Sanchita , Das Anjan Kumar , Manna Madhumita , Roy Syamal 
Published: November 2022

The central theme of this enterprise is to find common features, if any, displayed by genetically different antimony (Sb)-resistant viscerotropic Leishmania parasites to impart Sb resistance. In a limited number of clinical isolates (n = 3), we studied the breadth of variation in the following dimensions: (a) intracellular thiol content, (b) cell surface expression of glycan having N-acetyl-D-galactosaminyl residue as the terminal sugar, and (c) gene expression of thiol-synthesizing enzymes (CBS, MST, gamma-GCS, ODC, and TR), antimony-reducing enzymes (TDR and ACR2), and antimonial transporter genes (AQP1, MRPA, and PRP1). One of the isolates, T5, that was genotypically characterized as Leishmania tropica, caused Indian Kala-azar and was phenotypically Sb resistant (T5-LT-SSG-R), while the other two were Leishmania donovani, out of which one isolate, AG83, is antimony sensitive (AG83-LD-SSG-S) and the other isolate, T8, is Sb resistant (T8-LD-SSG-R). Our study showed that the Sb-resistant parasites, regardless of their genotype, showed significantly higher intracellular thiol compared with Sb-sensitive AG83-LD-SSG-S. Seemingly, T5-LT-SSG-R showed about 1.9-fold higher thiol content compared with T8-LD-SSG-R which essentially mirrored cell surface N-acetyl-D-galactosaminyl expression. Except TR, the expression of the remaining thiol-synthesizing genes was significantly higher in T8-LD-SSG-R and T5-LT-SSG-R than the sensitive one, and between the Sb-resistant parasites, the latter showed a significantly higher expression. Furthermore, the genes for Sb-reducing enzymes increased significantly in resistant parasites regardless of genotype compared with the sensitive one, and between two resistant parasites, there was hardly any difference in expression. Out of three antimony transporters, AQP1 was decreased with the concurrent increase in MRPA and PRP1 in resistant isolates when compared with the sensitive counterpart. Interestingly, no difference in expression of the above-mentioned transporters was noted between two Sb-resistant isolates. The enduring image that resonated from our study is that the genetically diverse Sb-resistant parasites showed enhanced thiol-synthesizing and antimony transporter gene expression than the sensitive counterpart to confer a resistant phenotype.
Combined atrial fibrillation ablation and left atrial appendage closure: Watchman vs. LAmbre devices
Authors: Ke Jin-Yan , Jin Lu-Shen , Lin Yuan-Nan , Xu Jing , Liu Wei-Ke , Fu Jia-Yang , Li Ling , Chen Yi-Lian , Qiu Yi-Xuan , Li Yue-Chun 
Published: November 2022

BackgroundLeft atrial appendage closure (LAAC) combined with radiofrequency catheter ablation is an emerging one-stop hybrid procedure for non-valvular atrial fibrillation (AF). This study was performed to compare the efficacy and safety of the Watchman device vs. the LAmbre device for this combined procedure.MethodsTwo hundred and thirty two patients with AF who underwent the combined procedure were enrolled and divided into two subgroups depending on the device choice: the Watchman-combined group (n = 118) and the LAmbre-combined group (n = 114). The periprocedural and follow-up adverse events in both groups were documented.ResultsThe mean CHA2DS2-VASc score and HAS-BLED score in the Watchman-combined group and LAmbre-combined group were 3.7 ± 1.5 vs. 3.8 ± 1.5 and 2.5 ± 1.1 vs. 2.3 ± 1.1, respectively (all P &gt; 0.05). Successful LAAC was achieved in all patients. The rate of major periprocedural complications and AF recurrence at 6 months post-procedure were similar between the Watchman-combined group and LAmbre-combined group (0.8 vs. 0.9%, P = 1.00; 22.0 vs. 15.8%, P = 0.23). During 2.6 ±0 .7 vs.1.6 ± 1.6 years follow-up, the rate of major clinical adverse events, including stroke and major bleeding, were comparable between the Watchman-combined group and the LAmbre-combined group (2.6 vs. 1.1% per 100 patient-years, P = 0.33). The intraprocedural peri-device leakage (PDL) rate was similar between the Watchman-combined group and the LAmbre-combined group (5.1 vs. 6.1%, P = 0.73), but the PDL rate was significantly higher at 3–6 months transesophageal echocardiography (TEE) follow-up than the intraprocedural PDL rate in both groups (21.6 vs. 5.1%; 36.6 vs. 6.1%, respectively), with a more obvious increase in minimal PDL rate in the LAmbre-combined group than the Watchman-combined group (36.6 vs. 21.6%, P &lt; 0.05).ConclusionThe Watchman and LAmbre devices were comparable in efficacy and safety for the combined procedure. The minimal PDL rate at short-term TEE follow-up was higher in the LAmbre-combined group than the Watchman-combined group.
A bibliometric and visual analysis of obesity and polycystic ovary syndrome from 2012 to 2022
Authors: Luo Ping , Li Jiake , Li Pengzhou , Wang Guohui , Li Weizheng , Song Zhi , Sun Xulong , Fu Zhibing , Zhou Hui , Yi Xianhao , Zhu Liyong , Zhu Shaihong 
Published: November 2022

BackgroundObesity is associated with polycystic ovary syndrome (PCOS). We aimed to elucidate the research status and explore research trends and future directions of research on obesity and PCOS.MethodsA bibliometric analysis of the published papers in the field of obesity and PCOS between 2012 and 2022 was conducted on the basis of the Web of Science Core Collection database. The collaboration networks, research trends, literature sources, citation analysis, co-citation analysis, and keywords analysis were statistically analyzed and visualized using the VOSviewer software.ResultsWe retrieved 2843 records from 681 journals by 12307 authors from 2942 institutes in 99 countries. The number of published papers and citations had a roughly increasing trend annually. The United States and China contributed the majority of the records. Monash University, Shanghai Jiaotong University, Aristotle University of Thessaloniki, Karolinska Institute, University of São Paulo, and Tehran University of Medical Sciences were the biggest nodes in their cluster of the collaboration network map, and Moran LJ, Teede HJ, Joham AE, Escobar-Morreale HF, and Macut D were prolific authors. Research trends and hotspots were identified and visualized in the field of obesity and PCOS. Research hotspots in this field focused on insulin resistance (IR), metabolic syndrome, metformin, and inflammation. Bariatric surgery, mitochondrial dysfunction, binding globulins, and comorbidities may be the frontiers of future research.ConclusionsWe concluded the research status and trends in the field of obesity and PCOS. A better understanding of collaboration patterns, research hotspots, and frontiers may be useful for researchers.
Comprehensive relationships between kinetic energy and rainfall intensity based on precipitation measurements from an OTT Parsivel2 optical disdrometer
Authors: Van Linh Nguyen , Le Xuan-Hien , Nguyen Giang V. , Yeon Minho , May Do Thi Tuyet , Lee Giha 
Published: November 2022

When raindrops collide with the topsoil surface, they cause soil detachment, which can be estimated by measuring the kinetic energy (KE) of the raindrops. Considering their direct measurements on terrestrial surfaces are challenging, empirical equations are commonly utilized for estimating the KE from rainfall intensity (Ir), which has a great influence on soil loss and can be easily obtained. However, establishing the optimal relationship between KE and Ir is difficult. In this study, we used a laser-based instrument (OTT Parsivel2 Optical disdrometer) to collect datasets in Sangju City (South Korea) between June 2020 and December 2021 to examine the characteristics of KE–Ir relationships. We derived two different expressions for KE–Ir: KE expenditure (KEexp; J m−2h−1) and KE content (KEcon; J m−2mm−1), using 37 rainfall events. Subsequently, the 37 rainfall events were categorized into three groups based on the magnitude of the mean rainfall intensity of each event. Overall, the KE values estimated through the equations derived based on 37 events were higher than those estimated by the equations derived based on the three rainfall event groups. Our findings should facilitate the development of more suitable physics-based soil erosion models at event scales.
Misdiagnosis of gestational trophoblastic neoplasia as ectopic pregnancy: A 15-year retrospective study
Authors: Xiao Ping , Guo Tao , Yin Rutie 
Published: November 2022

BackgroundGestational trophoblastic neoplasia is an uncommon disease, whose clinical manifestations are similar to ectopic pregnancy, thus some rare pelvic lesion can be misdiagnosed as ectopic pregnancy.AimsThis study was presented to investigate the characteristics of gestational trophoblastic neoplasia misdiagnosed as ectopic pregnancy and reduce the misdiagnosis.MethodsThe clinicopathological data for 14 cases of gestational trophoblastic neoplasia misdiagnosed as ectopic pregnancy at West China Second Hospital Sichuan University from January 2006 to December 2020 were retrospectively analyzed.ResultsThe main clinical manifestations were amenorrhea, abnormal vaginal bleeding, and abdominal pain. At initial diagnosis, the serum hCG level was &gt;10,000 mIU/mL in 5 patients and &lt;10,000 mIU/mL in 7 patients, and a positive urine pregnancy test alone was found in 2 patients. Vaginal ultrasonography showed no abnormalities in 7 cases, adnexal mass in 5 cases, and tubal thickening in 2 cases. The patient's previous pregnancy was an abortion in 7 cases, full-term in 4 cases, and a hydatidiform mole in 3 cases. Clinical stage: 3 cases were stage I, 3 were stage II, 7 were stage III, and 1 case was stage IV (liver and spleen metastases). The median FIGO prognostic score was 13.5 points (12–21 points), with 9 cases having a score &gt;13 points (very high risk). From 14 patients, only 3 had molar pregnancy previously. Only 3 patients had no metastasis at GTN diagnosis (from these 3, only one after molar pregnancy). After chemotherapy alone or in combination with surgery, all patients survived, with a median follow-up of 84 months (23–102 months).ConclusionIf we have positive hCG, without a sonographic topic gestation confirmation, associated with metastatic lesions, the GTN diagnosis should be considered instead of ectopic pregnancy, if the patient have had a pregnancy once during her life.
Mysterious long noncoding RNAs and their relationships to human disease
Authors: Li Wenchao , Wang Yang Yang , Xiao Lifei , Ding Jiangwei , Wang Lei , Wang Feng , Sun Tao 
Published: November 2022

Increasingly studies have shown that the formation mechanism of many human diseases is very complex, which is determined by environmental factors and genetic factors rather than fully following Mendel’s genetic law of inheritance. Long non-coding RNA (lncRNA) is a class of endogenous non-protein coding RNA with a length greater than 200 nt, which has attracted much attention in recent years. Studies have shown that lncRNAs have a wide range of biological functions, such as roles in gene imprinting, cell cycle progression, apoptosis, senescence, cell differentiation, and stress responses, and that they regulate the life processes of mammals at various levels, such as epigenetic transcription, processing, modification, transport, translation and degradation. Analyzing the characteristics of lncRNAs and revealing their internal roles can not only deepen our understanding of human physiological and pathological processes, but also provide new ideas and solutions for the diagnosis, prevention and treatment of some diseases. This article mainly reviews the biological characteristics of lncRNAs and their relationship with some diseases, so as to provide references for the related research of lncRNAs.
Automated differential diagnosis of dementia syndromes using FDG PET and machine learning
Authors: Perovnik Matej , Vo An , Nguyen Nha , Jamšek Jan , Rus Tomaž , Tang Chris C. , Trošt Maja , Eidelberg David 
Published: November 2022

BackgroundMetabolic brain imaging with 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) is a supportive diagnostic and differential diagnostic tool for neurodegenerative dementias. In the clinic, scans are usually visually interpreted. However, computer-aided approaches can improve diagnostic accuracy. We aimed to build two machine learning classifiers, based on two sets of FDG PET-derived features, for differential diagnosis of common dementia syndromes.MethodsWe analyzed FDG PET scans from three dementia cohorts [63 dementia due to Alzheimer’s disease (AD), 79 dementia with Lewy bodies (DLB) and 23 frontotemporal dementia (FTD)], and 41 normal controls (NCs). Patients’ clinical diagnosis at follow-up (25 ± 20 months after scanning) or cerebrospinal fluid biomarkers for Alzheimer’s disease was considered a gold standard. FDG PET scans were first visually evaluated. Scans were pre-processed, and two sets of features extracted: (1) the expressions of previously identified metabolic brain patterns, and (2) the mean uptake value in 95 regions of interest (ROIs). Two multi-class support vector machine (SVM) classifiers were tested and their diagnostic performance assessed and compared to visual reading. Class-specific regional feature importance was assessed with Shapley Additive Explanations.ResultsPattern- and ROI-based classifier achieved higher overall accuracy than expert readers (78% and 80% respectively, vs. 71%). Both SVM classifiers performed similarly to one another and to expert readers in AD (F1 = 0.74, 0.78, and 0.78) and DLB (F1 = 0.81, 0.81, and 0.78). SVM classifiers outperformed expert readers in FTD (F1 = 0.87, 0.83, and 0.63), but not in NC (F1 = 0.71, 0.75, and 0.92). Visualization of the SVM model showed bilateral temporal cortices and cerebellum to be the most important features for AD; occipital cortices, hippocampi and parahippocampi, amygdala, and middle temporal lobes for DLB; bilateral frontal cortices, middle and anterior cingulum for FTD; and bilateral angular gyri, pons, and vermis for NC.ConclusionMulti-class SVM classifiers based on the expression of characteristic metabolic brain patterns or ROI glucose uptake, performed better than experts in the differential diagnosis of common dementias using FDG PET scans. Experts performed better in the recognition of normal scans and a combined approach may yield optimal results in the clinical setting.