bluuebunny/crossref_metadata_2025_split huggingface dataset:
Screening of prognostic biomarkers for Stereotactic Body Radiation Therapy in liver cancer
Authors: Liang Zhenzhen , Sun Hongbin , Yu Binbin , Zhang Xueyuan , Fu Xinxin , Jiang Heya , Liu Lianchang , Liu Xiaodong 
Published: February 2020

Abstract
So far there are still no effective immediate-early markers for assessing the efficacy of Stereotactic Body Radiation Therapy (SBRT). To find effective biomarkers for accurate assessment of the efficacy of SBRT in patients with liver cancer. Patients with liver cancer were included at Ruikang Hospital affiliated to Guangxi Medical University from January 2012 to December 2018. Follow-up was conducted, clinical information and blood samples (before SBRT, before discharge and 2 months after SBRT) were collected. mRNAs profiles were detected by high-throughput sequencing, followed by qPCR verification. The commonly-used serum biomarkers such as AFP, CEA and CA125 shown low prognostic value in distinguishing survival group and death group, indicated by low AUC (less than 0.7) and Yoden indexes (less than 0.5). Based on high-throughput sequencing of test group and qPCR detection of another verification group, we found 16 up-regulated and 12 down-regulated genes after SBRT. Among them, ADIPOR1 and EPB42 showed significantly different between effective and ineffective group after SBRT, ROC suggested that based on the optimal threshold of 0.5838, ADIPOR1 shown a sensitivity of 100% and a specificity of 83.33% to distinguish effective from ineffective group. Similarly, EPB42 had a sensitivity of 75% and a specificity of 100% at the optimal threshold of 1.3817. Thus, ADIPOR1 and EPB42 in whole blood are promising candidates to act as prognostic biomarkers for predication of SBRT outcomes in liver cancer patients.
A Rank-Deficient and Sparse Penalized Optimization Model for Compressive Indoor Radar Target Localization
Authors: Tang Van Ha , Nguyen Van-Giang 
Published: February 2020

This paper proposes a rank-deficient and sparse penalized optimization method for addressing the problem of through-wall radar imaging (TWRI) in the presence of structured wall clutter. Compressive TWRI enables fast data collection and accurate target localization, but faces with the challenges of incomplete data measurements and strong wall clutter. This paper handles these challenges by formulating the task of wall-clutter removal and target image reconstruction as a joint low-rank and sparse regularized minimization problem. In this problem, the low-rank regularization is used to capture the low-dimensional structure of the wall signals and the sparse penalty is employed to represent the image of the indoor targets. We introduce an iterative algorithm based on the forward-backward proximal gradient technique to solve the large-scale optimization problem, which simultaneously removes unwanted wall clutter and reconstruct an image of indoor targets. Simulated and real radar data are used to validate the effectiveness of the proposed rank-deficient and sparse regularized optimization approach.
Administration of Pharmaceutical Agents Prior to Testicular Sperm Extraction Procedures: A Meaningful or Meaningless Approach?
Authors: Çayan Selahittin , Yaman Onder 
Published: February 2020

Background:
To date, no randomized and controlled study has demonstrated the effect of adjuvant
medical therapy on testicular sperm production before the sperm retrieval procedures in men with non-obstructive
azoospermia (NOA).

Objectives:
To present the available data on the administration of pharmaceutical agents prior to testicular sperm
extraction (TESE) procedures in order to obtain better sperm retrieval results in men with NOA.

Methods and Results:
Various pharmaceutical agents were used empirically to induce spermatogenesis in the
treatment of NOA. The rationale for adjuvant hormonal treatment has been to increase intratesticular testosterone
levels with different dosages of gonadotropins, anti-estrogen agents, or aromatase inhibitors.

Conclusion:
Based on the published studies, in the presence of a normal range of peripheral serum total testosterone
levels, no medical treatment is advised, and TESE procedures should be performed directly in men with
NOA. Further well-designed and randomized, placebo-controlled trials are needed to support the potential benefit
of pretreatment prior to TESE procedures.
Couple Therapy Based on Mindfulness to Improve the Satisfaction of Life and Pain Self-Efficacy in Patients with Chronic Pain.
Authors: Firoozi Manijeh , Rouhi Shima 
Published: February 2020

Background:
To manage chronic pain, in addition to medical interventions, several psychological treatments have been designed. In couple therapy based on mindfulness, in addition to the patients, their spouses, who care for the patients, were involved. The purpose of this research was to study the effectiveness of couple therapy based on mindfulness to improve life satisfaction and pain self-efficacy in patients with chronic pain.

Methods:
The present study is a quasi-experimental and clinical trial with a control group with pre-test and post-test. The research was performed at LABAFI NEJAD Hospital in Tehran on 30 patients with chronic pain and their spouses. To measure the efficacy of treatment, a short form of self-reported Pain Self-Efficacy Questionnaire (PSEQ) and the questionnaire of life satisfaction (SWLS) were utilized.

Results:
The results showed that the level of pain self-efficacy after the intervention in the experimental group increased, while in the control group, this value remained unchanged. Also, the intervention has improved the satisfaction of life among patients in the experimental group.

Conclusion:
Couple therapy based on mindfulness, an eclectic intervention, can increase social support, improve the quality of sex, and decentralize pain. Additionally, paying attention to neglected caregivers, and patients with chronic pain can rise pain self-efficacy, and life satisfaction. Finally, suggestions for future research are offered.
Cloud-integrated Wireless-optical Broadband Access Network with Survivability
Authors: Solanki Sangita , Upadhyay Raksha , Bhatt Uma Rathore 
Published: February 2020

Background:
Cloud-Integrated Wireless Optical Broadband (CIW) access networks
inheriting advantages of cloud computing, wireless and optical access networks have a broad
prospect in the future.

Objectives:
Due to failure of components like OLT level, ONU level, link or path failure and
cloud component level in CIW, survivability is becoming one of the important issues.

Methods:
In this paper, we have presented cloud-integrated wireless-optical broadband access
network with survivability using Integer Linear Programming (ILP) model, to minimize the
number of cloud components while providing maximum backup paths. Hence, we have proposed
protection through cloud-integrated wireless router to available ONUs (PCIWRAO).

Results:
So, evaluated the backup path computation. We have considered ONU level failure in
which the affected traffic is transferred through wireless routers and cloud component to the
available ONUs using Manhattan distance algorithm.

Conclusion:
Simulation results show different configurations for different number of routers and
cloud components illustrating available backup path when ONU fails.
Integrating Employee Value Model with Churn Prediction
Authors: Anh Nguyen Thi Ngoc , Tu Nguyen Danh , Solanki Vijender Kumar , Giang Nguyen Linh , Thu Vu Hoai , Son Luong Ngoc , Loc Nguyen Duc , Nam Vu Thanh 
Published: February 2020

Background:
In recent years, human resource management is a crucial role in every companies
or organization’s operation. Loyalty employee or Churn employee influence the operation of
the organization. The impact of Churn employees is difference because of their role in organization.

Objective:
Thus, we define two Employee Value Models (EVMs) of organizations or companies
based on employee features that are popular of almost companies.

Methods:
Meanwhile, with the development of Artificial intelligent, machine learning is possible to
give predict data-based models having high accuracy.Thus, integrating Churn prediction, EVM and
machine learning such as support vector machine, logistic regression, random forest is proposed in
this paper. The strong points of each model are used and weak points are reduced to help the companies
or organizations avoid high value employee leaving in the future. The process of prediction integrating
Churn, value of employee and machine learning are described detail in 6 steps. The pros of
integrating model gives the more necessary results for company than Churn prediction model but the
cons is complexity of model and algorithms and speed of computing.

Results:
A case study of an organization with 1470 employee positions is carried out to demonstrate the
whole integrating churn predict, EVM and machine learning process. The accuracy of the integrating model
is high from 82% to 85%. Moreover, the some results of Churn and value employee are analyzed.

Conclusion:
This paper is proposing upgrade models for predicting an employee who may leave an organization
and integration of two models including employee value model and Churn prediction is feasible.
Optimization of Supercritical Fluid Extraction for Mariposa Christia Vespertilionis Leaves Towards Yield by Using Response Surface Methodology
Authors: Mohd Ariff Mohd Azahar , Nazri Nurul Nadiah Mohd , Abdul Razak Noor Aina , Osman Mohamed Syazwan , Jaapar Jefri 
Published: February 2020

Background:
Mariposa Christia Vespertilionis (L.) (MCV) Bakh. f. is a plant,
commonly known as Mariposa or ‘butterfly wing’ due to the shape and color of its leaves
which is similar to a butterfly. MCV has been known to be used as a treatment for many diseases
such as tuberculosis, bronchitis, inflamed tonsils, colds, muscle weakness and poor
blood circulation.

Methods:
Supercritical Fluid Extraction (SFE) is the latest equipment that can be used for
the extraction of MCV leaves. SFE is the process of separating one component from another
by using supercritical fluids as the extraction media. SFE is widely used in extraction due to
its environmental friendly process compared to conventional extraction technique.

Objective:
The aim of this study was to obtain the most optimum conditions in terms of
temperature, pressure and particle size in achieving the highest amount of yield in the MCV
plant extract. Thus the manipulated parameters for this study were Temperature (T), Pressure
(P) and Particle Size (S) where the ranges used were: temperature, T (°C): 30, 40, 50,
60, 70, pressure, P (bar): 150, 200, 250, 300, 350, and particle Size, S: 63 µm, 125 µm, 250
µm, 500 µm and 1 mm.

Results:
To obtain the optimum condition of yield, Response Surface Methodology (RSM)
was used. For the RSM design of experiment, 20 samples were run throughout this experiment.

Conclusion:
The optimum parameter values generated from the RSM were 39°C for temperature,
202 bars for the pressure and 500 μm for the particle size with the yield of 7.9 %.
Actual validation runs were carried out and the percentage error was 14 %.
Regulation of Medical Devices and their Clinical Trials Studies in the USA: An Update
Authors: Manita  , Deep Aakash , Vikram  , Rana A.C. , Yadav Monu , Marwaha Rakesh K. 
Published: February 2020

Background:
Need for Medical devices is very important in the healthcare sector
and related processes for global regulation. Medical devices are the apparatus or instruments
which are specifically used for diagnostics and therapeutic applications. In the USA, a regulatory
body known as FDA (Food and Drug Administration) has its unit called CDRH which
looks the manufacture, packaging and use of medical devices in the USA.

Objective:
In USA, Medical devices are classified into 3 classes: class I which look for the
medical devices used for the general control as dental floss and bandages, etc., class II which
regulate the medical devices used for the general control as well as special control as powered
wheelchairs and pregnancy kits. Class III medical devices look the general control.
PMA (Premarket Approval) and Premarket Notification application has been filed to FDA
for seeking the market authorization of medical devices. We perform clinical trials for medical
device which are quite different from the clinical trials performed for drug analysis. These
trials are performed on various age groups such as on paediatrics, adult and old age group
commonly called phase 1,2,3,4. Regulatory approval of high-risk medical device is based on
clinical studies submitted with pre-market approval. The main objective of this article is to
make the researcher aware of the regulation and clinical trials of medical devices in the USA.

Conclusion:
Every medical device should comply with FDA, QMS and QSR for marketing
in the USA. The present article has focused on the regulation of medical devices, clinical trial
phases and clinical studies on medical devices.
Correlation Coefficients of Linguistic Neutrosophic Sets and their Multicriteria Group Decision Making Strategy for Medical Treatment Options
Authors: Zhao Mei-Ling , Ye Jun 
Published: February 2020

Background:
Owing to Linguistic Neutrosophic Numbers (LNNs) depicted independently
by the truth, indeterminacy, and falsity linguistic variables, they fit in with human thinking and
expressing habits to judgments of complicated objects, such as medical diagnosis and Medical
Treatment Options (MTOs) for patients in clinical medicine. Unfortunately, existing linguistic neutrosophic
Decision Making (DM) approaches have not been applied in medical DM problems so far.

Objective:
Then, the LNN multicriteria group DM method especially suits medical DM problems
with LNN information since medical DM problems commonly imply inconsistent, incomplete, and
indeterminate linguistic information due to the medical DM complexity.

Method:
Therefore, this study proposes two correlation coefficients of linguistic neutrosophic sets
(LNSs) and their multicriteria group DM method to deal with the DM problem of MTOs as a new
complementary in linguistic medical DM problems. Then, an actual example regarding the DM
problem of MTOs is provided to illustrate the applicability of the developed group DM method.

Result:
By comparative analysis with existing relative methods in LNN setting, the best MTO for
the patient with verruca plantaris is feasible.

Conclusion:
The developed DM method is effective in the DM problem of MTOs with LNN information
and provides a new way for linguistic medical DM problems.
An Efficient Multi-Core Resource Allocation using the Multi-Level Objective Functions in Cloud Environment
Authors: Krishna Siva Rama , Hussain Mohammed Ali 
Published: February 2020

Background:
In recent years, the computational memory and energy conservation have
become a major problem in cloud computing environment due to the increase in data size and
computing resources. Since, most of the different cloud providers offer different cloud services and
resources use limited number of user’s applications.

Objective:
The main objective of this work is to design and implement a cloud resource allocation
and resources scheduling model in the cloud environment.

Methods:
In the proposed model, a novel cloud server to resource management technique is proposed
on real-time cloud environment to minimize the cost and time. In this model different types
of cloud resources and its services are scheduled using multi-level objective constraint programming.
Proposed cloud server-based resource allocation model is based on optimization functions to
minimize the resource allocation time and cost.

Results:
Experimental results proved that the proposed model has high computational resource allocation
time and cost compared to the existing resource allocation models.

Conclusion:
This cloud service and resource optimization model is efficiently implemented and
tested in real-time cloud instances with different types of services and resource sets.
Pengembangan Pelaporan Standar Pelayanan Minimal Gawat Darurat Berbasis Web
Authors: Ningsih Kori Puspita 
Published: February 2020

Latar Belakang: Rumah sakit sebagai Badan Layanan Umum Daerah (BLUD) memiliki kewajiban membuat dan memenuhi Standar Pelayanan Minimal (SPM). Permasalahan yang terjadi dalam sistem informasi pelaporan SPM GD diantaranya Pimpinan Tingkat Atas kesulitan mengakses dan mencari data, waktu lama utuk penyajian informasi, ketidaklengkapan informasi, kebutuhan data laporan SPM RS yang cukup heterogen dan rentan terjadinya kehilangan data dan informasi.Tujuan: mengembangkan pelaporan SPM GD berbasis WebMetode: Penelitian ini menggunakan action research, dengan pendekatan pengumpulan data kualitatif. Analisis data menggunakan analisis isi.Hasil: Hasil identifikasi kebutuhan menunjukkan RSUD Tipe B wilayah DIY membutuhkan sistem informasi pelaporan SPM GD berbasis web untuk membantu meningkatkan efisiensi dan efektifitas proses pelaporan yang cepat, tepat dan akurat. Hasil studi kelayakan menunjukkan pengguna sudah terbiasa menggunakan komputer, tersedia software, hardware untuk mendukung pengembangan sistem informasi berbasis web. Hasil perhitungan Return Of Invesment sebesar 98,3% > 0, maka feasible dengan keuntungan 98,3% dari invenstasi. Pengembangan sistem informasi menggunakan metodelogi prototype.Hasil uji prototype dengan metode Blackbock menunjukkan fungsi/reaksi sesuai yang dilakukan aktor, sistem bekerja dengan baik dan mampu memenuhi kebutuhan pengguna.Kesimpulan: Pengembangan pelaporan SPM GD berbasis web menggunakan tahapan metodelogi prototype telah diujikan di RSUD Tipe B wilayah DIY dan menunjukkan sistem mampu memenuhi kebutuhan pengguna.
AVALIAÇÃO DE RENDIMENTO, CUSTO E ACEITAÇÃO DE AVES E PEIXES DAS PREPARAÇÕES CULINÁRIAS EM UNIDADES DE ALIMENTAÇÃO E NUTRIÇÃO
Authors: Martins Marilene , Spinelli Mônica Glória Neumann 
Published: February 2020

A preparação de carnes, pelo seu valor e suas perdas durante o preparo, tem um impacto considerável no custo da refeição. O conhecimento desses custos e perdas, assim como elaborar um cardápio que respeite essas características, são medidas de impacto na sustentabilidade econômica da Unidade de Alimentação e Nutrição (UAN). Assim, o objetivo deste trabalho foi avaliar diferentes preparações com aves e pescados e seu melhor aproveitamento nas preparações culinárias mais utilizadas em uma UAN. O estudo foi desenvolvido em uma UAN de São Paulo, com duas preparações de aves, e cinco tipos de cortes diferentes e duas de pescados com quatro diferentes cortes. Com relação às aves, as preparações com cortes de coxa e sobrecoxa são aproximadamente 60% mais baratas que as com peito. O frango inteiro não se apresentou como melhor alternativa pela dificuldade no preparo e porcionamento. Com relação aos pescados, o cação apresentou o maior custo. O custo médio per capita para aves foi de R$1,05 e para os peixes foi R$2,59. A qualidade da matéria prima influenciou os resultados, portanto é fundamental a escolha adequada do corte a ser usado em cada preparação. Os ganhos no rendimento, custos e aceitação das preparações dependem do planejamento inicial. A UAN deve construir sua própria tabela de rendimento das preparações, considerando a importância dos indicadores nos custos e na facilidade do preparo das refeições.
Optimasi Sistem Cerdas Pada Pengering Tanaman Obat Berbasis Internet Of Thing dengan Memanfaatkan Sumber Energi Terbarukan
Authors: Heriansyah  , Istiqphara Swadexi 
Published: February 2020

Intisari ˗ Industri obat herbal saat ini semakin pesat dengan meningkatnya minat masyarakat terhadap obat herbal di Indonesia. Alat pengering tanaman obat saat ini sudah banyak dikembangkan tetapi masih menggunakan metode konvensional. Metode pengeringan yang tepat sangat berpengaruh pada kandungan bahan aktif yang terdapat pada tanaman. Setiap jenis tanaman mempunyai respon yang berbeda, ada beberapa tanaman yang peka terhadap penyinaran matahari langsung serta suhu yang terlalu tinggi dan ada yang tidak. Pada penelitian sebelumnya, telah dirancang alat pengering tanaman obat yang bekerja secara otomatis dengan bantuan mikrokontroler yang akan digunakan untuk industri obat herbal. Penelitian saat ini akan ambil bagian dalam optimalisasi sistem cerdas dengan menggunakan metode fuzzy logic dan PID sehingga sistem dapat bekerja secara adaptif dan efektif dalam mengatur suhu ruang. Selain itu sistem ini juga dilengkapi dengan Internet of Thing (IoT) pada alat pengering yang memungkinkan untuk dipantau dan dikontrol dari jarak jauh sehingga dapat memudahkan pengguna mengetahui kondisi terkini dari simplisia yang sedang dikeringkan guna meningkatkan kualitas tanaman obat yang sesuai dengan kebutuhan indsutri obat herbal untuk menghasilkan mutu obat yang baik sesuai standar Cara Pembuatan Obat Tradisional yang Baik (CPOTB).
Kata kunci: Pengering, Simplisia, CPOTB, Internet of thing, Energi Terbarukan, sistem cerdas.
Penerapan Alat Pengupas Kulit Pinang Dalam Upaya Peningkatan Produktivitas Masyarakat Di Nagari Bukik Sikumpa Kabupaten Lima Puluh Kota
Authors: Nurdin Hendri , Waskito Waskito , Hasanuddin Hasanuddin , Sari Delima Yanti 
Published: February 2020

Indonesia merupakan negara agraris yang mempunyai lahan pertanian terluas di dunia. Tanaman tradisional Indonesia yaitu tanaman pinang (Areca Catechu) telah lama dikenal sebagai komoditas yang memiliki banyak manfaat. Pinang menjadi komoditas uggulan perkebunan Sumatera Barat disamping tanaman perkebunan yang lain. Berdasarkan hasil survei dan diskusi dengan kelompok tani Kaladi Aia di Nagari Bukik Sikumpa Kecamatan Lareh Sago Halaban Kabupaten Limapuluh Kota terdapat permasalahan menyangkut dengan proses pengupasan kulit pinang. Proses pengupasan biji buah pinang masih menggunakan sistem manual atau konvensional tentunya akan membutuhkan tenaga manusia yang banyak sehingga membutuhkan biaya yang tinggi dalam proses pengolahan. Hal ini berdampak terhadap pendapatan masyarakat petani. Kondisi yang terjadi ini menjadi pandangan dalam mencari solusi dari permasalahan tersebut. Penerapan teknologi berupa alat pengupas kulit pinang dalam upaya meningkatkan produktivitas masyarakat sebagai solusi mengatasi permasalahan. Alat pengupas kulit pinang yang efisien dan konstruktif dengan penggerak motor bensin sebesar 6,5 PK dan putaran 3600 rpm. Kapasitas alat pengupas kulit pinang sebanyak 5 kg dengan waktu pengerjaan selama 5 menit secara kontinue. Dengan penerapan ipteks ini, berdampak terhadap kesejahteraan masyarakat dan sebagai solusi pemecahan masalah di kelompok tani, diharapkan dapat membangun wawasan dan pola pikir di masyarakat. Dengan adanya alat pengupas kulit pinang ini diharapkan dapat membantu petani pinang dalam mengolah hasil panen pinang sehingga pekerjaan dapat lebih ringan dan mendapatkan hasil yang maksimal.
Rasch Analysis: Students' Mathematics Anxiety and Symptoms
Authors: Sonia Rahmita , Alizamar Alizamar , Bentri Alwen , Putra Febri Wandha 
Published: February 2020

Ideally students follow mathematics learning effectively without any disturbance. But the phenomenon that is happening is that there are students who experience anxiety about mathematics, which causes students to not be able to follow mathematics learning effectively. The purpose of this study is to describe the level of mathematics anxiety experienced by students as a whole and also based on the aspects studied. This study involved 32 students in class XII consisting of 18 female students and 14 male students. The instrument used in this research in the form of a questionnaire containing statements about mathematical anxiety equipped with a Likert scale model. Data analysis using frequency distribution techniques and Rasch Model analysis. The results of the analysis of research data indicate that some students experience mathematical anxiety. In addition, the results of data analysis also showed that there were differences in anxiety between female students and male students both overall and based on aspects of the mathematics anxiety studied.