bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simple Threshold Method in Fault Diagnosis for Voltage Source Inverter in a Direct Torque Control Induction Motor Drive
Authors: Kadri Farid , Hamida Mohamed A. 
Published: October 2019

Background:
The need for a diagnosis today, becomes a necessity for variable speed AC
drives in several industrial applications. An important research axis is oriented towards monitoring
the state of the converter supplying the electric motor. Indeed, the voltage source inverter is likely to
have switching faults. Therefore, an emergency stop of the motor drive must be done.

Objective:
After reviewing related patents and works, the objective of this paper is to identify the
feasibility of fault detection and diagnosis in a three-phase inverter feeding an induction motor.

Methods:
The proposed approach is a simple threshold fault classification method applied to fault
diagnosis of a Direct Torque Control (DTC) induction motor drive using the stator Concordia mean
current vector. With a fault occurrence, a localization domain consisting of seven patterns is constructed.

Results:
Simulated results on 1.5-kW induction motor drive show the effectiveness of the proposed
approach with a good classification performance.

Conclusion:
The classification performance of our simple diagnosis system is acceptable for one
fault occurrence compared to other methods. Faulty switch detection and identification is completed
within a few periods of current. Using intelligent technique should improve classification performances
for multiple faults occurrence.
New 99mTc Radiotracers for Myocardial Perfusion Imaging by SPECT
Authors: Fang Wei , Liu Shuang 
Published: October 2019

Objective:Myocardial Perfusion Imaging (MPI) with radiotracers is an integral component in evaluation of the patients with known or suspected coronary artery diseases (CAD). 99mTc-Sestamibi and 99mTc-Tetrofosmin are commercial radiopharmaceuticals for MPI by single photon-emission computed tomography (SPECT). Despite their widespread clinical applications, they do not meet the requirements of an ideal perfusion imaging agent due to their inability to linearly track the regional myocardial blood flow rate at >2.5 mL/min/g. With tremendous development of CZT-based SPECT cameras over the past several years, the nuclear cardiology community has been calling for better perfusion radiotracers with improved extraction and biodistribution properties.Methods:This review will summarize recent research efforts on new cationic and neutral 99mTc radiotracers for SPECT MPI. The goal of these efforts is to develop a 99mTc radiotracer that can be used to detect perfusion defects at rest or under stress, determine the regional myocardial blood flow, and measure the perfusion and left ventricular function.Results:The advantage of cationic radiotracers (e.g. 99mTc-Sestamibi) is their long myocardial retention because of the positive molecular charge and fast liver clearance kinetics. 99mTc-Teboroxime derivatives have a high initial heart uptake (high first-pass extraction fraction) due to their neutrality. 99mTc- 3SPboroxime is the most promising radiotracer for future clinical translation considering its initial heart uptake, myocardial retention time, liver clearance kinetics, heart/liver ratios and SPECT image quality.Conclusion:99mTc-3SPboroximine is an excellent example of perfusion radiotracers, the heart uptake of which is largely relies on the regional blood flow. It is possible to use 99mTc-3SPboroximine for detection of perfusion defect(s), accurate quantification and determination of regional blood flow rate. Development of such a 99mTc radiotracer is of great clinical benefit for accurate diagnosis of CAD and assessing the risk of future hard events (e.g. heart attack and sudden death) in cardiac patients.
Cerium and Yttrium Oxide Nanoparticles and Nano-selenium Produce Protective Effects Against H2O2-induced Oxidative Stress in Pancreatic Beta Cells by Modulating Mitochondrial Dysfunction
Authors: Tavoosi Shima , Baghsheikhi Amir Hossein , Shetab-Boushehri Seyed Vahid , Navaei-Nigjeh Mona , Sarvestani Nazanin Namazi , Karimi Mohammad Yahya , Ranjbar Akram , Ebadollahi-Natanzi Alireza , Hosseini Asieh 
Published: October 2019

Background:
Type 1 diabetes mellitus is characterized by the destruction of insulin-
producing Beta cells in the pancreas. Researchers hope that islet transplantation will
help to patients with insulin-dependent diabetes mellitus (IDDM). Oxidative stress is the
most important challenge that beta cells face to it after isolation, and mitochondrial dysfunction
is a crucial mediator in beta cells death. Hence, therapeutic approaches can shift to
antioxidants through the application of nanoparticles such as cerium and yttrium oxide nanoparticles
(Cer and Ytt Ox NPs) and nano-selenium (Nan Se).

Objectives:
This study evaluates the effects of Cer and Ytt Ox NPs and Nan Se on H2O2-
induced oxidative stress in pancreatic beta cells with focus on mitochondrial dysfunction
pathway.

Methods:
CRI-D2 beta-cell line were pretreated with Cer Ox NPs (200 µM) + Ytt Ox NPs
(0.5 µg/mL) for 3 days and/or Nan Se (0.01 µM) for 1 day. Then markers of oxidative
stress, mitochondrial dysfunction, insulin and glucagon secretion were measured.

Results:
We reported a decrease in H2O2-induced reactive oxygen species (ROS) level and
glucagon secretion, and an increase in H2O2-reduced ATP/ADP ratio, MMP, as well as
UCP2 protein expression, and insulin secretion by pretreatment of CRI-D2 cells with Cer
and Ytt Ox NPs and/or Nan Se.

Conclusion:
We found maximum protective effect with Cer and Ytt Ox NPs on CRI-D2
beta-cell line exposed by H2O2 for keeping beta cells alive until transplant whereas combination
of Cer and Ytt Ox NPs and Nan Se had very little protective effect in this condition.
Effects of the Dynamic and Energy Based Feature Extraction on Hindi Speech Recognition
Authors: Bhatt Shobha , Dev Amita , Jain Anurag 
Published: October 2019

Background:
Speech Recognition is the most effective and suitable way of communication.
Extracted features play an important role in speech recognition. Previous research works for
Hindi speech recognition lack detailed comparative analysis of the feature extraction methods using
dynamic and energy parameters.

Objective:
The research work presents experimental work done to explore the effects of integrating
dynamic coefficients and energy parameters with different feature extraction techniques on Connected
word Hindi Speech recognition. As extracted features play a significant role in speech recognition,
a comparative analysis is presented to show the effects of integration of dynamic and energy
parameters to basic extracted features.

Method:
Speaker dependent system was proposed with monophones based five states Hidden
Markov Model (HMM) using HTK Tool kit. Speech data set of connected words in Hindi was
created. The feature extraction techniques such as Linear Predictive Coding Cepstral coefficients
(LPCCs), Mel Frequency Cepstral Coefficients (MFCCs), and Perceptual Linear Prediction (PLPs)
coefficients were applied integrating delta, delta2, and energy parameters to evaluate the
performance of the proposed methodology for speaker dependent recognition.

Results:
Experimental results show that the system achieved the highest recognition word accuracy
of 89.97% using PLP coefficients. The PLP coefficients achieved 4% increment in word accuracy
than original MFCCs and a 16% increment in word accuracy than LPCCs. Adding energy
parameters to original MFCCs increased word accuracy by 1.5% only while adding dynamic
coefficients delta and double delta had no significant effect on speech recognition accuracy.

Conclusion:
Research findings reveal that PLP coefficients outperformed. Explorations reveal that
the integration of energy parameters are better than original MFCCs. Investgations also reveal that
adding energy parametres improved recognition score while adding delta and delta2 coefficients to
basic features did not improve the recognition scores. Research findings could be used to enhance
the performance of a speech recognition system by using a suitable feature extraction technique and
combining the different feature extraction techniques. Further, investigations can be used to develop
language resources for refining speech recognition. The work can be extended to develop a
continuous Hindi speech recognition system.
One Pot Multicomponent Biginelli Reaction Employing Ionic Liquids as an Organocatalyst
Authors: Shaikh Tanveer M. , Nagarajan Sankaranarayanan , Kandasamy Elango 
Published: October 2019

Introduction:The N-heterocyclic compounds have been extensively studied in pharmaceutical industries. Furthermore, syntheses of such compounds employing organo-catalyst have been associated with sustainable technology.Methods:The synthesis of new, stable ionic liquids and their catalytic applications in one-pot multicomponent Biginelli reaction is presented. The method provides broad substrate scope, yielding the corresponding 3,4-dihydropyrimidin-2(1H)-ones and 3,4-dihydropyrimidin-2(1H)-thiones, in good to excellent yields, respectively.Results and Conclusion:The developed reactions are associated with certain advantages, short reaction time and sustainable conditions. The protocol has advantages eco-friendly procedure, recovery and reusability of catalyst, which showed consistent activity.
Palm Oil Fractions Alter Acute Cadmium Mediated Haematotoxicity
Authors: Asagba Samuel Ogheneovo , Ichipi-Ifukor Patrick Chukwuyenum , Ichipi-Ifukor Rita Ngozi , Oyem John Chukwuma 
Published: October 2019

The objective of the research was to contribute to the continual search for natural products that could mitigate alterations in haematological indices due to cadmium poisoning.
Materials and methods. Seventy-two male Wistar rats were mobilized and divided into six groups (A-F). Group A served as the control one which was neither exposed to cadmium nor treated with palm oil fraction. Group B was not treated with palm oil fractions but received a single dose of 20mgkg-1 body weight of cadmium chloride solution on the 29th day of the experiment, while Groups C-E received 5mlKg-1 bodyweight of crude palm oil, silica gel extract, bleached extract and unsaponifiable extract of palm oil respectively for 28 days before a single dose of 20mgKg-1 body weight of cadmium chloride on the 29th day. Blood samples were collected from four animals via cardiac puncture on the 29th, 30th and 31st day within intervals of 12h, 24h and 48h after cadmium administration. This was then analysed for haematological parameters using an automated haematological analyser. Data analysis was carried out using the one-way factor analysis of variance at a significant level of p<0.05.
Results. The impact of cadmium intoxication on haematological indices in rats was time-dependent and was mostly felt at the end of the 48-hour period indicating a significant decrease in the packed cell volume, haemoglobin and white blood cells values, while the increase due to cadmium was observed in mean corpuscular haemoglobin and mean corpuscular volume values; pre-treatment of palm oil fractions mitigated the noxious effects of cadmium significantly near control values.
Conclusions. Crude palm oil and its fractions have the ability to mobilize antioxidant defence potentials against cadmium damage to blood cells.
Radiological Findings in Chronic Contained Rupture of Abdominal Aortic Aneurysm in a Patient Presenting with Lower Back Pain
Authors: Ashraf Dr Shaafiya , Prabhakar Dr Ankit , Sharma Dr Shivani , Wani Dr Dawood Iqbal 
Published: October 2019

There is a diagnostic and therapeutic dilemma in cases of chronic contained rupture of abdominal aortic aneurysm, as the symptoms can be more subtle including dull back pain, and thus lacking the typical features of rupture.
The objective of this research was to introduce a case report emphasizing the need to relate the low back pain with atypical radiological appearances of entities, as aortic abdominal aneurysms, capable to compromise the patients’ clinical diagnosis, prognosis and treatment.
MEWADAHI COMMUNITY BASED TOURISM DALAM COMMUNITY GROUP UNTUK PENGEMBANGAN INDUSTRI PARIWISATA
Authors: Suhartanto Suhartanto 
Published: October 2019

Abstrak: Mewadahi Community Based Tourism dalam Community Group untuk Pengembangan Industri Pariwisata. Pengembangan industri pariwisata diarahkan pada pariwisata berbasis masyarakat (community based tourism). Penelitian ini bertujuan untuk menganalisis community based tourism dalam wadah community group untuk pengembangan industri pariwisata. Penelitian ini merupakan jenis penelitian kualitatif dengan menggunakan pendekatan deskriptif. Sumber data penelitian adalah data sekunder, berupa buku, jurnal, news (cetak/digital), regulation, dan dokumen-dokumen lain yang mendukung. Analisis data menggunakan tahapan pengumpulan data, kondensasi data, penyajian data dan penarikan kesimpulan. Hasil penelitian ini menunjukan bahwa pengembangan industri pariwisata berbasis community based tourism diterapkan di pedesaan dalam bentuk desa wisata. Community based tourism membutuhkan partisipasi masyarakat dari mulai perencanaan, implementasi dan evaluasi. Agar pembangunan industri pariwisata dalam bentuk desa wisata efektif dan efisien, community based tourism diwadahi dalam community group, sehingga penyerapan partisipasi masyarakat dalam satuan community dapat diangkat dalam wadah group untuk mencapai tujuan bersama. Kata kunci: Community, Based, Tourism,Community, Group Abstract : Organizing Community Based Tourism in the Community Group for the Development of the Tourism Industry. The development of the tourism industry is directed at community-based tourism. The aim of this study is to analyze community based tourism in a community group forum for the development of the tourism industry. The type of this research is a qualitative research that use a descriptive approachment. The data source of this research are secondary data, books, journals, news (print / digital), regulation, and others. The stages of data analysis is used data collection, data condensation, data presentation and drawing conclusions. The results of this study indicate that the development of a community-based tourism industry based on tourism is implemented in rural areas in the form of a tourism village. Community based tourism were required community participation from planning, implementation and evaluation. So, the development of the tourism industry in this form can be effective and efficient, community based tourism must accommodated in a community group. The absorption of community participation in community units can be raised in a group to achieve its purpose. Keyword: Community, Based, Tourism,Community, Group
PENYUSUTAN SEBAGAI SALAH SATU FUNGSI MANAJEMEN ARSIP DI BALAI DIKLAT KEAGAMAAN SEMARANG
Authors: Fitriyah Riskha Nur 
Published: October 2019

Abstrak - Penyusutan Sebagai Salah Satu Fungsi Manajemen Arsip di Balai Diklat Keagamaan Semarang. Penyusutan arsip dalam suatu organisasi atau instansi harus dilakukan untuk mengurangi arsip in aktif yang tidak memiliki nilai guna arsip. Terdapat tiga fungsi manajemen arsip dalam organisasi atau instansi, yaitu fungsi penciptaan, fungsi penggunaan serta fungsi pemeliharaan dan penyusutan. Penelitian ini dilakukan untuk mendeskripsikan proses penyusutan arsip in aktif dan mengidentifikasi kendala yang dihadapi pada Bagian Tata Usaha di Balai Diklat Keagamaan Semarang. Metode penelitian yang digunakan adalah kualitatif, dimana peneliti ikut terlibat secara langsung sebagai instrumen penelitian. Dalam penelitian ini, metode yang digunakan yaitu kualitatif. Salah satu ciri dari metode kualitatif adalah peneliti ikut terlibat secara langsung sebagai instrumen penelitian. Observasi, wawancara dan dokumentasi merupakan teknik pengumpulan data yang dilakukan. Dari hasil penelitian yang telah dilakukan didapatkan bahwa kegiatan penyusutan arsip dilakukan di Unit Kearsipan (Bagian Tata Usaha) dengan 3 tahapan, yaitu pemindahan arsip, pemyerahan dan pemusnahan. Adapun kendala yang dihadapi adalah minimnya sarana dan prasarana, kurangnya dukungan dari Pimpinan dan kurangnya kemampuan SDM. Kata kunci : penyusutan, manajemen arsip dan arsip in aktif Abstract - Depreciation as One of the Functions of Archive Management in Semarang Religious Training Center. Depreciation of records in within an organization should be undertaken to reduce inactive records that have no archival value. Three archive management functions within the organization consist of creation, use, maintenance and depreciation. This study aims to determine the process depreciation of inactive records and obstacles encountered in the implementation of records management in institutions of Religious Training Semarang. The method of the research is case study with descriptive qualitative. The research showed the result that depreciation of record activities in the Unit Archives (Administrative Section) with 3 stages, are removal of records, submission and disposal of archives. The obstacles encountered are inadequate of facilities and infrastructure, lack of leadership support and lack of human resources capability. Keyword : Depreciation, archive management and the records is active
Facilitating User Participation in Digital Health Research: The mHealth Impact Registry
Authors: Lynett Ford Kelsey , Bull Sheana , Moore Susan L , Barrientos Ortiz Charlene 
Published: October 2019

Background
The proliferation of technology galvanizes providers, researchers, and entrepreneurs to revolutionize health care and care delivery with diverse audiences. Digital health provides promise in improving health outcomes; however, the pace of technology requires rapid research to remain relevant in the marketplace. User experience (UX) research provides critical information about patient/client preferences while rigorous research trials demonstrate digital health efficacy. Despite the need for such research, the recruitment and enrollment process for digital health research remains time consuming and expensive, particularly when engaging underrepresented populations. Developed in the Colorado School of Public Health, the mHealth Impact Registry is a newly launched platform designed for rapid and responsive recruitment of participants for digital health research studies. While the use of registries in research is robust, the application in digital health research is quite limited.

Objective
This poster illustrates the development and testing of the mHealth Impact Registry’s Web-based platform, health status survey, mobile app, and participant database to reach underrepresented populations in digital health research.

Methods
Formative methods used a user centered approach to document user preferences for Registry design followed by iterative testing to ensure usability and navigability.

Results
End-user feedback was captured from multiple stakeholder groups (ie, Patient and Family Research Advisory Panel and mHealth Community Advisory Board) to refine recruitment strategy (ie, letters, video development). A health status survey was developed in both English and Spanish using the online software (ie, Qualtrics) that informs the back-end database. A detailed requirements document outlined technical and functional requirements for the mobile app (ie, iOS and Android) and Web-based platform (ie, Wordpress and Amazon Web Services).

Conclusions
Due to the need for rapid, rigorous, and inclusive research in digital health, a registry containing a pool of diverse participants would not only accelerate the recruitment and enrollment process but would also help to improve the reach and engagement of digital health solutions for underrepresented populations. The mHealth Impact Registry would house diverse participants, supporting quick enrollment and active participation in studies for which they are eligible. Improving the accessibility of participants and the speed of enrollment has promise in ensuring digital health solutions are relevant upon dissemination and commercialization.
A Predictive Model for Clinical Asthma Exacerbations Using Albuterol eMDPI (ProAir Digihaler): A Twelve-Week, Open-Label Study
Authors: Safioti Guilherme , Granovsky Lena , Li Thomas , Reich Michael , Cohen Shahar , Hadar Yonatan , Pleasants Roy , Chrystyn Henry , Hill Tanisha , DePietro Michael 
Published: October 2019

Background
The ability to identify an impending clinical asthma exacerbation (CAE) would improve asthma action plans and provide opportunities for pre-emptive treatment. Increased use of inhaled rescue medications, such as albuterol, has been observed in the days prior to a CAE, but other potential predictive factors are poorly understood. Approved by the US Food and Drug Administration (FDA) in late 2018, ProAir Digihaler with built-in sensors registers when patients use the inhaler and has been shown previously to accurately measure both peak inspiratory flow and inhalation volume, confirming the device’s ability to reliably record objective information on inhaler usage and technique.

Objective
Data collected from the ProAir Digihaler provides, for the first time, a more complete picture of patients’ use of inhaled medication, and thereby offers an opportunity to develop a predictive model of an impending CAE, and the potential to better implement asthma action plans and facilitate early treatment.

Methods
Patients (≥18 years old) with exacerbation-prone asthma were recruited to a 12-week, open-label study. Patients used the ProAir Digihaler (albuterol 90 µg 1–2 inhalations q4 hours) as needed. The electronic component of Digihaler recorded each use and inhalation variables (peak inspiratory flow, volume inhaled, time to peak flow, and inhalation duration). Data were downloaded from the inhalers and, together with clinical data, subjected to a machine-learning algorithm to develop models predictive of an impending CAE as defined by the need for oral corticosteroids. The generated model was evaluated by receiver operating characteristic (ROC) curve analysis.

Results
Three hundred and sixty patients made ≥1 valid inhalation from the Digihaler and were included in the analysis. Of these, 64 patients experienced a total of 78 CAEs. The strongest predictive factor during the 5 days before a CAE was the average number of albuterol inhalations per day. The predictive model was strengthened by supplementing these data with other inhalation features collected by Digihaler, including peak inhalation flow, inhalation volume, night-time usage, and trends of these parameters over time. This model predicted an impending exacerbation over the 5 days with a ROC AUC value of 0.75.

Conclusions
This study represents, to our knowledge, the first successful attempt to develop a model to predict CAE derived from the use of a rescue medication inhaler device equipped with an integrated sensor and capable of measuring inhalation parameters. The predictive power of the model would benefit from further development with larger populations of asthma patients.