bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrated Pipelines for Inferring Gene Regulatory Networks from
Single-Cell Data
Authors: Chen Aimin , Zhou Tianshou , Tian Tianhai 
Published: May 2022

Background:
Single-cell technologies provide unprecedented opportunities to study heterogeneity
of molecular mechanisms. In particular, single-cell RNA-sequence data have been successfully
used to infer gene regulatory networks with stochastic expressions. However, there are still substantial
challenges in measuring the relationships between genes and selecting the important genetic regulations.

Objective:
This prospective provides a brief review of effective methods for the inference of gene regulatory
networks.

Methods:
We concentrate on two types of inference methods, namely the model-free methods and
mechanistic methods for constructing gene networks.

Results:
For the model-free methods, we mainly discuss two issues, namely the measures for quantifying
gene relationship and criteria for selecting significant connections between genes. The issue for
mechanistic methods is different mathematical models to describe genetic regulations accurately.

Conclusions:
We advocate the development of ensemble methods that combine two or more methods
together.
Anticancer Potential of Thymoquinone: A Novel Bioactive Natural Compound from
Nigella sativa L.
Authors: Mir Prince Ahad , Mohi-ud-din Roohi , Banday Nazia , Maqbool Mudasir , Raza Syed Naeim , Farooq Saeema , Afzal Suhaib , Mir Reyaz Hassan 
Published: May 2022

Abstract:
Cancer involves the uncontrolled division of cells resulting in abnormal cell growth due to various gene
mutations and is considered the second major cause of death. Due to drug resistance to current anticancer drugs, cancer
incidence is rising, and seeking effective treatment is a major concern. Natural products are prospective to yield unique
molecules, as nature is a leading source of various drug molecules due to plenty of pharmacologically active molecules.
Thymoquinone, a bioactive constituent obtained from Nigella sativa L., has drawn considerable attention among
researchers in recent years due to its anticancer potential involving various molecular targets, including initiation of
apoptosis initiation, arrest of cell cycle and generation of ROS, besides targeting multiple kinases such as tyrosine
kinase, MAPK, and Janus kinase. The current review summarizes the thymoquinone chemistry, sources and anticancer
potential involving various molecular targets.
Performance Analysis of SOI-Tunnel FET with AlxGa1-xAs Channel
Material
Authors: Chander Sweta , Sinha Sanjeet Kumar 
Published: May 2022

Background:
Tunnel Field-effect transistor (TFETs) has appeared as a promising candidate
due to its steep slope (SS<60 mV/dec), which can be used for low-power applications

Objectives:
Authors investigated AlxGa1-xAs as the channel material in Silicon-on-Insulator (SOI)
TFETs and compared it to other existing channel materials, SiGe, Ge, Si, Ge, Strained Si, and GaAs.

Methods:
For the entire device study, the mole fraction x = 0.2 has been used in AlxGa1-xAs channel
material. The direct energy bandgap for Al0.2Ga0.8As has been used because the mole fraction is less
than 0.4. The Al0.2Ga0.8As-based device has been analyzed in terms of Direct Current (DC) and Alternating
Current (AC) characteristics using the Synopsys TCAD tool.

Results:
The proposed device offers enhanced switching speed with a high on/off ratio of ~1012 and a
steep subthreshold swing of 30 mv/dec As a channel material, Al0.2Ga0.8As also enhances the miller
capacitance of the device, which is one of the essential requirements of the device performance.

Conclusion:
In next-generation devices, Al0.2Ga0.8As as channel material and TFET device based on
this channel material act as a promising contender for low-power applications.
CORDIC KSVD based Online Dictionary Learning for Speech
Enhancement on ASIC/FPGA Platforms
Authors: Srinivas Krovvidi Naga Hanuma , Prabha Inty Santhi , Matcha Venu Gopala Rao 
Published: May 2022

Background:
The enhancement of real-world speech signals is still a challenging task
to eliminate noises, namely reverberation, background, street, and babble noises. Recently
learned methods like dictionary learning have become increasingly popular and showed
promising results in speech enhancement. The K-means Singular Value Decomposition (KSVD)
algorithm is best suited for dictionary learning among many sparse representation algorithms.
Moreover, the orthogonal matching pursuit (OMP) based algorithm used for signal recovery is
given. The orthogonal matching pursuit (OMP) based algorithm for signal recovery gives the
best enhancement results. On the other hand, FPGAs and ASICs are widely used to accelerate
speech enhancement applications. FPGAs are commonly used in healthcare and consumer
applications, where speech enhancement plays a crucial role.

Methods:
This paper proposes a modified KSVD algorithm that can easily be implemented onto
hardware platforms like FPGAs and ASICS. Instead of using the double-precision arithmetic for
the singular value decomposition part of the KSVD algorithm, we proposed to use CORDIC
(Coordinate Rotation Digital Computer) based QR decomposition and QR-based singular value
decomposition in dictionary learning.

Results:
The proposed KSVD algorithm is optimal with the CORDIC algorithm that can reduce
by 7-8 times the processing time.

Conclusion:
The finding indicates that the proposed work is best suited to FPGA or ASIC
platforms.
Decision-making Factors Toward the Adoption of Smart Home Sensors by Older Adults in Singapore: Mixed Methods Study
Authors: Cao Yuanyuan , Erdt Mojisola , Robert Caroline , Naharudin Nurhazimah Binte , Lee Shan Qi , Theng Yin-Leng 
Published: May 2022

Background
An increasing aging population has become a pressing problem in many countries. Smart systems and intelligent technologies support aging in place, thereby alleviating the strain on health care systems.

Objective
This study aims to identify decision-making factors involved in the adoption of smart home sensors (SHS) by older adults in Singapore.

Methods
The study involved 3 phases: as an intervention, SHS were installed in older adults’ homes (N=42) for 4 to 5 weeks; in-depth semistructured interviews were conducted with 18 older adults, 2 center managers, 1 family caregiver, and 1 volunteer to understand the factors involved in the decision-making process toward adoption of SHS; and follow-up feedback was collected from 42 older adult participants to understand the reasons for adopting or not adopting SHS.

Results
Of the 42 participants, 31 (74%) adopted SHS after the intervention, whereas 11 (26%) did not adopt SHS. The reasons for not adopting SHS ranged from privacy concerns to a lack of family support. Some participants did not fully understand SHS functionality and did not perceive the benefits of using SHS. From the interviews, we found that the decision-making process toward the adoption of SHS technology involved intrinsic factors, such as understanding the technology and perceiving its usefulness and benefits, and more extrinsic factors, such as considering affordability and care support from the community.

Conclusions
We found that training and a strong support ecosystem could empower older adults in their decision to adopt technology. We advise the consideration of human values and involvement of older adults in the design process to build user-centric assistive technology.
Impact of clinical pathways on treatment patterns and outcomes for patients with non-small-cell lung cancer: real-world evidence from a community oncology practice
Authors: Dickson Natalie R , Beauchamp Karen D , Perry Toni S , Roush Ashley , Goldschmidt Deborah , Edwards Marie Louise , Blakely Laura J 
Published: May 2022

Introduction:
The evolving treatment landscape for non-small-cell lung cancer (NSCLC) and complexities of regulations and reimbursement present challenges to community oncologists. Clinical pathways are tools to optimize care, but information on their value in the real world is limited. This retrospective study assessed treatment patterns and clinical outcomes in patients with stage I–III NSCLC pre- and post-pathways implementation at Tennessee Oncology, a large, community-based oncology practice in the USA.
Methods & Materials:
Chart data were abstracted for adults diagnosed with stage I–III NSCLC who received systemic treatment. Patients were divided into pre-pathways (treatment initiation 2014–2015) and post-pathways (treatment initiation 2016–2018) cohorts. Patient characteristics, treatment patterns and outcomes were summarized descriptively. Kaplan–Meier curves were used to assess time-dependent outcomes, and log-rank test was used to compare the cohorts.
Results:
291 patients were included (stage I–II: 38 pre-pathways, 55 post-pathways; stage III: 105 pre-pathways, 93 post-pathways). Duration on first-line (1L) therapy was similar for stage I–II patients pre- and post-pathways (median 1.9 months vs 2.1 months; p = 0.75), but increased for stage III patients post-pathways (2.1 months vs 1.4 months pre-pathways; p < 0.01). Achievement of a complete or partial response with 1L therapy was similar post-pathways among stage I–stage –IIII patients (60.0% vs 55.2% pre-pathways), but increased for stage III patients (56.0% vs 35.2% pre-pathways).
Conclusion:
Given that improvements in rates of treatment response post-pathways occurred only for patients diagnosed with stage III NSCLC, among whom immunotherapy uptake increased post-pathways, such improvements may be attributable to evolving practices in cancer care, including advances in treatment and care delivery, rather than clinical pathways implementation. Further research is warranted to assess the impact of clinical pathways in the current treatment era, given that immunotherapy has now become the standard of care in NSCLC.
Frequentist and Bayesian analysis methods for case series data and application to early outpatient COVID-19 treatment case series of high risk patients
Authors: Gkioulekas Eleftherios , McCullough Peter A , Zelenko Vladimir 
Published: May 2022

When confronted with a public health emergency, significant innovative
treatment protocols can sometimes be discovered by medical doctors at
the front lines based on repurposed medications. We propose a very
simple hybrid statistical framework for analyzing the case series of
patients treated with such new protocols, that enables a comparison with
our prior knowledge of expected outcomes, in the absence of treatment.
The goal of the proposed methodology is not to provide a precise
measurement of treatment efficacy, but to establish the existence of
treatment efficacy, in order to facilitate the binary decision of
whether the treatment protocol should be adopted on an emergency basis.
The methodology consists of a frequentist component that compares a
treatment group against the probability of an adverse outcome in the
absence of treatment, and calculates an efficacy threshold that has to
be exceeded by this probability, in order to control the corresponding
$p$-value, and reject the null hypothesis. The efficacy threshold is
further adjusted with a Bayesian technique, in order to also control the
false positive rate. A selection bias threshold is then calculated from
the efficacy threshold to control for random selection bias. Exceeding
the efficacy threshold establishes efficacy by the preponderance of
evidence, and exceeding the more demanding selection bias threshold
establishes efficacy by the clear and convincing evidentiary standard.
The combined techniques are applied to case series of high-risk COVID-19
outpatients, that were treated using the early Zelenko protocol and the
more enhanced McCullough protocol. The resulting efficacy thresholds are
then compared against our prior knowledge of mortality and
hospitalization rates of untreated high-risk COVID-19 patients, as
reported in the research literature.
Identification of Novel Disease-Relevant Genes and Pathways in the Pathogenesis of Type 1 Diabetes: A Potential Defect in Pancreatic Iron Homeostasis
Authors: Yip Linda , Alkhataybeh Reem , Taylor Cariel , Fuhlbrigge Rebecca , Fathman C. Garrison 
Published: May 2022

<p>Multiple pathways contribute to the pathophysiological development of type 1 diabetes (T1D), however, the exact mechanisms involved are unclear. We performed differential gene expression analysis in pancreatic islets of non-obese diabetic (NOD) mice versus age-matched congenic NOD.B10 controls to identify genes that may contribute to disease pathogenesis. Novel genes related to extracellular matrix development and glucagon and insulin signaling/secretion were changed in NOD mice during early inflammation. During “respective” insulitis, the expression of genes encoding multiple chemosensory olfactory receptors genes were upregulated, and during “destructive” insulitis, the expression of genes involved in antimicrobial defense and iron homeostasis were downregulated. Islet inflammation reduced the expression of <em>Hamp</em> that encodes hepcidin. Hepcidin is expressed in beta cells and serves as the key regulator of iron homeostasis. We showed that <em>Hamp</em> and hepcidin levels were lower, while iron levels were higher in the pancreas of 12-week old NOD versus NOD.B10 mice, suggesting that a loss of iron homeostasis may occur in the islets during the onset of “destructive” insulitis. Interestingly, we showed that the severity of NOD disease correlates with dietary iron intake. NOD mice maintained on low iron diets had a lower incidence of hyperglycemia while those maintained on high iron diets had an earlier onset and higher incidence of disease, suggesting that high iron exposure combined with a loss of pancreatic iron homeostasis may exacerbate NOD disease. This mechanism may explain the link seen between high iron exposure and the increased risk for T1D in humans. </p>
Immunogenicity and safety of SARS-CoV-2 mRNA vaccines in a cohort of patients with type 1 diabetes
Authors: D’Addio Francesca , Sabiu Gianmarco , Usuelli Vera , Assi Emma , Abdelsalam Ahmed , Maestroni Anna , Seelam Andy Joe , Nasr Moufida Ben , Loretelli Cristian , Mileto Davide , Rossi Giada , Pastore Ida , Montefusco Laura , Morpurgo Paola S. , Plebani Laura , Rossi Antonio , Chebat Enrica , Bolla Andrea M. , Lunati Elena , Mameli Chiara , Macedoni Maddalena , Antinori Spinello , Rusconi Stefano , Gallieni Maurizio , Berra Cesare , Folli Franco , Galli Massimo , Gismondo Maria Rita , Zuccotti Gian Vincenzo , Fiorina Paolo 
Published: May 2022

<p>Patients with type 1 diabetes (T1D) may develop severe outcomes during COVID-19 disease, but their ability to generate an immune response against the SARS-CoV-2 messenger RNA (mRNA) vaccines remains to be established. Here we evaluated the safety, immunogenicity and glycometabolic effects of the SARS-CoV-2 mRNA vaccines in patients with T1D. A total of 375 patients, 326 with T1D and 49 non-diabetics, who received two doses of the SARS-CoV-2 mRNA vaccines (mRNA-1273, BNT162b2) between March and April 2021 at the ASST FBF-Sacco Milan, Italy, were included in this monocentric observational study (NCT04905823). Local and systemic adverse events were reported in both groups after SARS-CoV-2 mRNA vaccination without statistical differences between them. While both T1D patients and non-diabetic subjects exhibited a parallel increase in anti-SARS-CoV-2S titers after vaccination, the vast majority of T1D patients (70% and 78% respectively) did not show any increase in the SARS-CoV-2-specific cytotoxic response as compared to the robust increase observed in all non-diabetic subjects. A reduced secretion of the T cell-related cytokines IL-2 and TNF-alpha in vaccinated patients with T1D was also observed. No glycometabolic alterations were evident in patients with T1D using continuous glucose monitoring during follow-up. Administration of the SARS-CoV-2 mRNA vaccine is associated with an impaired cellular SARS-CoV-2-specific cytotoxic immune response in T1D patients. </p>
PERAN GURU DAN ORANG TUA DALAM MENINGKATKAN MOTIVASI BELAJAR SISWA PADA PEMBELAJARAN DARING DI SD NEGERI KARANGTOWO KABUPATEN DEMAK
Authors: Tauqifa Ayunita Hisbadina , Rahmawati Intan , Saputra Henry Januar 
Published: May 2022

Abstract:The Role of the teacher and parents in increasing student learning motivation in online learning at SD Negeri Karangtowo, Demak Regency. The purpose of this study was to find out how the role of teachers and parents in increasing student motivation and the results of student learning motivation in online learning at SD Negeri Karangtowo, Demak Regency. This type of research is a descriptive qualitative method. The sample in this study were 29 students of class VB. Data collection techniques used in this study were observation, interviews, documentation and questionnaires. The results of this study indicate that the teacher's role in motivating student learning includes the teacher as a demonstrator, the teacher as a class manager, the teacher as a mediator, the teacher as a facilitator, the teacher as an evaluator, and the teacher as a motivator. Meanwhile, the role of parents in motivating student learning includes parents as mentors or educators, parents as facilitators, and parents as motivators. And the results of the average student learning motivation showed 4% of students who said yes while 2% of students who said no. This the role of teacher and parents affect student learning motivation. Keywords: Teachers, Parents, Learning Motivation, Online Learning Abstrak: Peran Guru dan Orang Tua dalam Meningkatkan Motivasi Belajar Siswa pada Pembelajaran Daring di SD Negeri Karangtowo Kabupaten Demak. Tujuan penelitian ini untuk mengetahui bagaimana peran guru dan orang tua dalam meningkatkan motivasi belajar siswa dan hasil motivasi belajar siswapada pembelajaran daring di SD Negeri Karangtowo Kabupaten Demak. Jenis penelitian ini adalah metode kualitatif deskriptif. Sample dalam penelitian ini adalah 29 siswa kelas VB. Teknik pengumpulan data yang digunakan dalam penelitian ini berupa observasi, wawancara, dokumentasi dan angket. Hasil penelitian ini menunjukkan bahwa peran guru dalam memotivasi belajar siswa meliputi guru sebagai demonstrator, guru sebagai pengelola kelas, guru sebagai mediator, guru sebagai fasilitator, guru sebagai evaluator, dan guru sebagai motivator. Sedangkan peran orang tua dalam memotivasi belajar siswa meliputi orang tua sebagai pembimbing atau pendidik, orang tua sebagai fasilitator, orang tua sebagai motivator. Dan hasil rata-rata motivasi belajar siswa menunjukkan 4% siswa yang menyatakan ya sedangkan 2% siswa yang menyatakan tidak. Dengan demikian peran guru dan orang tua mempengaruhi motivasi belajar siswa.Kata Kunci: Guru, Orang Tua, Motivasi Belajar, Pembelajaran Daring
ANALISIS IMPLEMENTASI PROGRAM PENDIDIKAN ANAK BERKEBUTUHAN KHUSUS DI SDLB NEGERI PRABUMULIH
Authors: Putri Annisa , Jayanti Jayanti , Fakhrudin Ali 
Published: May 2022

Abstract:. Education is a very important need for every human being, the state has an obligation to provide the right to education without exception, including those who have differences in abilities (disabled). The purpose of this research is to analyze the implementation of the education program for children with special needs (ABK), this study uses descriptive qualitative methods, data collection uses observation, interviews and documentation techniques, from the results of research conducted at SDLB Negeri Prabumulih, there are several types of children with special needs. With special needs (ABK) which have different classifications, the teacher conducts an assessment every semester to identify children with special needs (ABK). This school uses the 2013 curriculum and a special curriculum when needed, the learning process in the classroom is not much different from other public schools, it's just that sometimes teachers have to be more patient in dealing with students with disabilities (different or abnormal abilities).Keywords: Analysis, Learning Poses, ABK Abstrak: Pendidikan merupakan kebutuhan yang sangat penting bagi setiap manusia negara memiliki kewajiban untuk memberikan hak pendidikan tanpa terkecuali termasuk mereka yang memiliki perbedaan dalam kemampuan (difabel). Tujuan dilakukan penelitian ini yaitu untuk menganalisis implementasi program pendidikan anak berkebutuhan khusus (ABK), penelitian ini menggunakan metode kualitatif deskriptif, pengumpulan data menggunakan teknik observasi, wawancara dan dokumentasi, dari hasil penelitian yang di lakukan di SDLB Negeri prabumulih, ada beberapa jenis anak berkebutuhan khusus (ABK) yang memiliki klasifikasi yang berbeda, guru melakukan assesment setiap semester untuk mengidentifikasi anak berkebutuhan khusus (ABK). Sekolah ini menggunakan kurikulum 2013 dan kurikulum khusus saat di perlukan, dalam proses pembelajaran di kelas tidak berbeda jauh dengan sekolah umum lainnya, hanya saja terkadang guru harus lebih sabar dalam menghadapi siswa difabel (kemampuan yang berbeda atau abnormal)..Kata Kunci : Analisis, Poses pembelajaran, ABK
ANALISIS PEMAHAMAN PEMBELAJARAN IPS PADA SISWA KELAS VI DI SD NEGERI 2 TANJUNG AGUNG TIMUR
Authors: Sasmita Reni , Murnivianti Liza , Novianti Novianti 
Published: May 2022

Abstract : Analysis of Social Science Learning Understanding in Class VI Students at SD Negeri 2 Tanjung Agung Timur. The purpose of this study was to determine the level of understanding of social studies learning in class VI students at SD Negeri 2 Tanjung Agung Timur. The object of this research is students' understanding of the history of ASEAN social studies subjects for class VI SD Negeri 2 Tanjung Agung Timur. The informants in this study are research subjects, which means people who provide information about the situation and condition of the research setting. The research method used in this study is a qualitative descriptive method. The data collection techniques in this study used tests, interviews and documentation, while the data collection techniques (data collection), data analysis (data reduction), data presentation (data display), and conclusion drawing (cluster drawing). Based on the results of the study, it was found that the level of understanding of social studies understanding was an average value of 74 which was in the sufficient category. The teacher's role in understanding social studies material about ASEAN in Grade VI students of SD Negeri 2 Tanjung Agung Timur is that the teacher explains the historical activities of ASEAN in accordance with the guidelines for using good learning resources. Efforts to improve students' understanding in social studies learning, teachers must be able to master the class and become a fun teacher.Keywords: Understanding, Social Studies Abstract : Analisis Pemahaman Pembelajaran Ips Pada Siswa Kelas VI Di SD Negeri 2 Tanjung Agung Timur. Tujuan Penelitian ini adalah untuk mengetahui Tingkat Pemahaman Pembelajaran IPS Pada Siswa Kelas VI di SD Negeri 2 Tanjung Agung Timur. Adapun Objek dalam penelitian ini adalah pemahaman siswa pada materi sejarah ASEAN mata pelajaran IPS Kelas VI SD Negeri 2 Tanjung Agung Timur. Adapun informan dalam penelitian ini adalah subjek penelitian, yang berarti orang yang memberikan informasi tentang situasi dan kondisi latar penelitian. Metode penelitian yang menggunakan dalam penelitian ini adalah metode deskriptif kualitatif. Teknik pengumpulan data dalam penelitian ini menggunakan tes, wawancara dan dokumentasi, sedangkan teknik pengumpulan data (data collection), analisis data (data reduction), penyajian data (data display), dan penarikan kesimpulan (cunclusin drawing). Bedasarkan hasil penelitian didapatkan bahwa tingkat pemahaman pemahaman IPS sebesar dengan nilai rata-rata 74 yang termaksud dalam kategori cukup. Peranan guru terhadap pemahaman IPS materi sejarah ASEAN pada Siswa Kelas VI SD Negeri 2 Tanjung Agung Timur adalah guru menjelaskan materi kegiatan sejarah ASEAN sesuai dengan panduan menggunakan sumber belajar yang baik. Upaya untuk meningkatkan pemahaman peserta didik dalam pembelajaran IPS guru harus dapat menguasai kelas dan menjadi guru yang menyenangkan. Kata Kunci : Pemahaman, IPS