bluuebunny/crossref_metadata_2025_split huggingface dataset:
Drift suppression of solution-gated graphene field-effect transistors through electrolyte submersion
Authors: Ushiba Shota , Tokuda Yuka , Nakano Tomomi , Ono Takao , Tani Shinsuke , Kimura Masahiko , Matsumoto Kazuhiko 
Published: March 2024

Abstract
In solution-gated graphene FETs (SG-GFETs), cations in electrolyte solutions can intercalate between graphene and SiO2. Such permeation affects substrate-induced hole doping effects, resulting in drifts in the charge neutrality point (CNP) of SG-GFETs. In this study, we investigated the effect of submerging GFETs in electrolyte solutions on CNP values. The results revealed that the CNP decreased considerably from approximately 180 mV to nearly zero with the increase in the immersion period. The CNP drifts during electrical measurements were also suppressed by the prolonged submersion. These insights can be used for developing improved SG-GFETs.
An Adaptive Anomaly Detector used in Turbofan Test Cells
Authors: Lacaille Jérôme , Gerez Valério , Zouari Rafik 
Published: March 2024

Airplane engines use sophisticated technologies to improve their efficiency, reduce their weight, reduce fuel consumption, limit NOx generation and reduce the generated noise. On another hand, airlines want to decrease their maintenance costs. These changes may have an effect on engine reliability and there is a greater need to understand and control the behavior of the engine. This is the goal of PHM algorithms. However, if such algorithms are "easy" to build, V&V stay a challenge. To increase their readiness level, Snecma, as engine manufacturer, tests all engines on bench cells during development phases and before reception. Now Snecma chooses also to use PHM algorithms on bench tests. It helps the maturation of the code itself but it is also a way to monitor the bench cells.
The present document describes an implementation on a partial bench test cell of a generic abnormality detector. The first section gives an outlook at the implementation of some algorithms on a real test cell. The second section is the description of the main algorithm: an online abnormality detector able to automatically update when new recurrent usual observations appear. Finally the last section sketches some results obtained during the execution of the algorithm.
Prognostics with Autoregressive Moving Average for Railway Turnouts
Authors: Guclu Adem , Yılboga Halis , F. Eker Omer , Camci Fatih , Jennions Ian 
Published: March 2024

Turnout systems are one of the most critical systems on railway infrastructure. Diagnostics and prognostics on turnout system have ability to increase the reliability & availability and reduce the downtime of the railway infrastructure. Even though diagnostics on railway turnout systems have been reported in the literature, reported studies on prognostics in railway turnout system is very sparse. This paper presents autoregressive moving average model based prognostics on railway turnouts. The model is applied to data collected from real turnout systems. The failure progression is obtained manually using the exponential degradation model. Remaining Useful Life of ten turnout systems have been reported and results are very promising.
Novelty detection in airport baggage conveyor gear-motors using Synchro-squeezing transform and Self-organizing maps
Authors: Hazra Budhaditya , Pantula Shilpa , Narasimhan Sriram 
Published: March 2024

A powerful continuous wavelet transform based signal processing tool named Synchro-squeezing transform (SST) has recently emerged in the context of non-stationary signal processing. Founded upon the premise of time-frequency (TF) reassignment, its basic objective is to provide a sharper representation of signals in the TF plane. Additionally, it can also extract the individual components of a non- stationary multi-component signal, which makes it attractive for rotating machinery signals. This work utilizes the decomposing power of SST transform to extract useful components from gear-motor signals in relevant sub-bands, followed by the application of standard rotating machinery condition indicators. For timely detection of faults in airport baggage conveyor gear-motors, a novelty detection technique based on the recently developed concepts of self-organizing maps (SOM) is applied on the condition indicators. This approach promises improved anomaly detection pow
er than that can be achieved by applying condition indicators and SOM directly to the inherently complex raw-data. Data collected from the airport baggage conveyor gear-motors provides the test bed to demonstrate the efficacy of the proposed approach.
A Low Frequency Uni-variate Model for the Effective Diagnosis and Prognosis of Bearing Signals Based Upon High Frequency Data
Authors: L. Godwin Jamie , Matthews Peter 
Published: March 2024

Prognosis of rotating machinery is of vital importance to ensure ever increasing demands of availability, reduced maintenance expenditure and increased useful life are met. However, the prognosis of bearings typically employs techniques in the frequency or time-frequency domain due to the high frequency nature of the data involved (typically >20 KHz). This data quickly becomes unmanageable in practice and often has inferior prognostic horizons in comparison to those techniques which are based upon low frequency data analysis.This paper presents a novel methodology based upon the computation of the deviation from the empirically derived cumulative density function (CDF) of bearing data. For this purpose, the non-parametric, two sample, uni-variate Kolmogorov-Smirnov test is employed for the analysis. In particular, this paper focuses on mitigating the requirement of a-priori knowledge for bearing prognosis.Initially, assumptions regarding the underlying structure of high frequency bearing data are explored on publically available data, and found to deviate from what would be expected.Exploiting this, we use the non-parametric two-sample uni- variate Kolmogorov-Smirnov test to define normal operational behaviour, whilst mitigating the requirement for a-priori knowledge. This reduces the computational complexity of the system whilst having the prospect to reduce the inherent noise within the high frequency bearing signal.Strong trends of degradation which can be used to derive prognostic maintenance conditions are observed, with sound statistical analysis performed. In particular, statistically significant degradation is found to occur 75 hours before failure occurred (representing identification at 54.2% of bearing life). Both the Kolmogorov-Smirnov statistic and P -value are employed as health metrics to which degradation can be inferred from. A series of 4 experiments is presented, showing the versatility of the described technique and cases where the technique cannot be employed.The technique is validated on a failed bearing and then verified on an independent, healthy bearing, and is shown to correctly identify the bearing of question in each case, enabling the prioritisation of maintenance actions which can be used to assist in reducing overall maintenance expenditure.
Analyzing high-dimensional thresholds for fault detection and diagnosis using active learning and Bayesian statistical modeling
Authors: He Yuning 
Published: March 2024

Many Fault Detection and Diagnosis (FDD) systems use dis- crete models for fault detection and analysis. Complex indus- trial systems generally have hundreds of sensors, which are used to provide data to the FDD system. Usually, the FDD wrapper code discretizes each sensor value individually and ignores any non-linearities as well as correlations between different sensor signals. This can easily lead to overly con- servative threshold settings potentially resulting in many false alarms.
In this paper, we describe an advanced statistical framework that uses Bayesian dynamic modeling and active learning techniques to detect and characterize a threshold surface and shape in a high-dimensional space. The use of active learning techniques can drastically reduce the effort to study threshold surfaces. Automated Bayesian modeling of complex thres- hold surfaces has the potential to improve quality and perfor- mance of traditional wrapper code, which often uses hyper- cube thresholds.
Evaluation of Health Care Services at Primary Health Care Center in Baghdad City
Authors: Mahdi Mohammed Hamza 
Published: March 2024

Objective: To evaluate services that provided in "chief health care centers in the capital of Iraqi then to comparability of these centers about services and comparative to such excellence".
Materials: ", using the evaluation approach, descriptive design these studied made to Evaluate of excellence provided care services to the clients at health care centers in Baghdad. a sample was probabilities appearing in different stage of (15) was selected of health care centers. study sample was consisting from (5) typical centers, (5) municipal centers, and (5) countryside centers. created questionnaire shaped was collected from (33) objects. The first part consisted from (8) portions of point that embrace incorporeal (8) objects, consistency (4) objects, reply (4) items, prominence and self-assurance (4) objects and understanding (5) items. through pilot study Rationality and reliability of the survey are determined. Data are gathering throughout using survey and the conference technique. descriptive statistical applicate on data analysis approach of meltable statistical methods are showed in result paper below
Outcomes: all-out of PHC centers services shoes increase and excellence and no variance between these HC centers in different sectors built on such value in the most department of health care.
Conclusion: Depending on the study outcomes, primary health care services offered in health centers were of an acceptable quality
PERSAMAAN HAK BAGI PENYANDANG DISABILITAS UNTUK MENDAPATKAN PEKERJAAN DITINJAU DARI UNDANG-UNDANG NOMOR 8 TAHUN 2016 TENTANG PENYANDANG DISABILITAS
Authors: Halim Abdul 
Published: March 2024

Tuhan menciptakan manusia di dunia ini adalah sama, namun manusia itu sendirilah yang membedakan di antara sesama manusia, baik berwujud sikap, perilaku, maupun perlakuannya. Perbedaan ini masih sangat dirasakan oleh mereka yang mengalami keterbatasan secara fisik, mental, dan fisik-mental, baik sejak lahir maupun setelah dewasa, dan kecacatan tersebut tentunya tidak diharapkan oleh semua manusia, baik yang menyandang kecacatan maupun yang tidak menyandang cacat. Indonesia mengenal istilah “penyandang disabilitas” merupakan istilah pengganti “penyandang cacat” yang dulu lebih banyak digunakan. Penyandang disablitas juga merupakan bagian dalam masyarakat yang berhak mendapatkan pekerjaan sesuai dengan tingkat kecacatannya, Bahkan Pasal 67 Undang-Undang Nomor 13 tahun 2013 tentang Ketenagakerjaan menegaskan bahwa pengusaha yang memperkerjakan penyandang disabilitas wajib memberikan perlindungan yang sesuai dengan tingkat kecacatannya. penelitian yang digunakan adalah jenis penelitian hukum atau penelian perpustakaan. Penelitian perpustakaan, yaitu penelitian yang dilakukan dengan cara meneliti bahan pustaka atau bahan sekunder yang terdiri dari bahan hukum primer, bahan sekunder dan bahan tersier. Bersifat prespektif penulis. Berdasarkan uraian latar belakang dan pembahasan penelitian ini, maka dapat diambil kesimpulan bahwa prinsip hukum hukum dari undang-undang nomor 8 tahun 2016 tentang penyandang disabilitas yaitu jaminan kelangsungan hidup bagi seluruh warga negara indonesia tanpa terkecuali dan termasuk para penyandang disabilitas. Dan Juga ditegaskan dalam pasal 1 ayat 1 undang-undang nomor 39 tahun 1999 tentang hak asasi manusia yaitu seperangkat hak yang melekat pada hakikat dan keberadaan manusia sebagai makhluk tuhan yang maha Esa dan merupakan anugerah-Nya yang wajib dihormati,dijunjung tinggi oleh negara, hukum dan pemerintah, dan setiap orang demi kehormatan serta perlindungan harkat dan martabat manusia. Akibat hukum atau sanksi hukum bagi pelanggar yang tidak memberikan pekerjaan bagi penyandang disabilitas sehingga terjadi kekosangan hukum, akan tetapi ada beberpa daerah yang memberikan sanksi dengan diautur dalam peraturan daerah seperti daerah kota mojokerto dan provinsi jawa timur.
FUNGSI BADAN PERMUSYAWARATAN DESA MENURUT PASAL 55 UNDANG-UNDANG NOMOR 6 TAHUN 2014 TENTANG DESA
Authors: Nurman Muh 
Published: March 2024

Dampak positif dari reformasi total ini, ditinjau dari segi politik dan ketatanegaraan telah terjadi pergeseran paradigm dari sistem pemerintahan yang bercorak sentralistik mengarah kepada sistem pemerintaha yang desentralistik dengan memberi keleluasaan pada daerah dalam wujud otonomi daerah yang luas dan bertanggung jawab. Keanekaragaman bisa berarti aneka budaya, aneka bahasa, aneka kondisi geografis dan lain-lain. Mengakui keanekaragaman sebagai landasan berarti memberikan kewenangan dengan mempertimbangkan hak dan kewajiban secara proporsional. Saat ini desa mempunyai kewenangan-kewenangan lebih rigid dan terperinci antara lain kewenangan yang berdasarkan hak asal usul desa. Pengakuan UU ini atas keanekaragaman diharapkan menjadi pintu masuk (entry point) demokrasi di desa. Adanya Undang-undang yang mengatur tentang Pemerintahan daerah dan desa bukan satu-satunya jalan mewujudkan demokrasi dan keadilan. Undang-undang ini hanyalah salah satu produk hukum yang dibuat manusia, hukum dibuat untuk melindungi kepentingan-kepentingan bagi “si pembuat”. Jangan sampai terjadi tarik ulur antara peraturan-peraturan yang kaitannya dengan tarik ulur kepentingan pemerintah pusat dan daerah, karena rakyat jugalah yang menjadi korban kepentingan.
KEWENANGAN OTORITAS JASA KEUANGAN UNTUK MENGATASI LAYANAN PINJAMAN ONLINE ILLEGAL
Authors: Yusuf Ibrahim Muhammad 
Published: March 2024

Kehadiran aplikasi pinjaman online menjadi jalan alternatif bagi masyarakat yang terdesak perihal masalah ekonomi, akibatnya membuka peluang bagi perusahaan fintech illegal meraup keuntungan dari masyarakat yang pasif dan kurang paham terkait bahayanya pinjaman online illegal sehingga mengalami penipuan, kerugian bahkan kejadian kurang menyenangkan. Penelitian ini bertujuan untuk mengetahui, memahami dan menganalisis tentang upaya hukum yang dilaksanakan OJK untuk menangani masalah pinjaman online illegal dan perlindungan hukum bagi pengguna kontrak elektronik dalam pinjaman online. Metode penelitian yang digunakan ialah yuridis normatif ialah penelitian kepustakaan yakni penelitian pada peraturan perundang undangan dan literatur yang berkaitan pada materi yang sedang dibahas. Pertama: Upaya hukum yang dilakukan oleh Otoritas Jasa Keuangan (OJK) dalam mengatasi pinjaman online illegal, yakni mengeluarkan peraturan POJK Nomor 77/POJK.01/2016 terkait Layanan Pinjam Meminjam Uang Berbasis Teknologi Informasi terkait pinjaman online. Kedua: Pihak OJK telah memberikan perlindungan hukum bagi pengguna kontrak elektronik yakni berupa peraturan Pasal 1 angka 17 UU ITE dan KUHPerdata yang terdapat pada Pasal 1313. Dalam hal ini, pihak OJK telah berusaha untuk memberikan penanganan masalah dan perlindungan bagi para pengguna elektronik dalam menggunakan pinjaman online.

Kata Kunci: Upaya hukum, OJK, pinjaman online illegal
Индуцирана от йонизиращи лъчения геномна нестабилност и възможна превенция срещу развитието на остри радиационни поражения или късни стохастични ефекти
Authors: Рачева Галина 
Published: March 2024

Откриването и използването на подходящи радиопротектори в значителна степен може да намали риска от развитие на остър радиационен синдром, радиационно-индуциран катаракт или хронични радиационни поражения (левкемии или солидни тумори), след облъчване с еднократна надпрагова доза йонизираща радиация (≥1Gy) или с фракционирани ниски дози, за по-дълъг период от време, с обща сумарна (акумулативна) доза надвишаваща праговата. През последните години се установи, че естествени, клетъчни метаболити могат да бъдат използвани за превенция при облъчване с йонизираща радиация, като нетоксични радиопротектори.
Настоящото изследване беше насочено към изследване на радиопротективната способност на две природни аминокиселини – N-ацетил-L-цистеин (C5H9NO3S) и триметилглицин (бетаин, (CH3)3N+CH2CO2-), и възможността им да предпазят от развитие или да намалят степента на радиационното поражение. Резултатите от изследването показаха съществено намаляване на радиационно-индуцирани увреждания в ДНК при превантивно третиране с изследваните вещества.
Analysis of Profitability Ratios on Market Perception of Pharmaceutical Sub-Sector Companies (2017-2022)
Authors: Siva Silvia  , Firda Eka Riyanti  , Eriani Herawati  , Hilda Nurizka Permata Sari  , Dito Rinaldo  
Published: March 2024

Objective :This study was conducted to determine the difference between NPM, ROA and Stock Price before and after the pandemic, as well as to find out how the influence of NPM and ROA on market perception in pharmaceutical sub-sector companies for the period 2017 - 2022.

Design/Methods/Approach : The data collection method uses secondary data from the company's financial statements. Purposive sampling was used for sampling in the study which made eight companies as objects. T-test and linear regression analysis are the techniques for analyzing this data.

Findings :The t-test research results show that there is no difference between NPM, ROA, and Market Perception before and after the pandemic. This can be caused by erratic market behavior. The T test and F test show that NPM and ROA partially and simultaneously have no significant effect on market perception.
Originality/Value: Market perception in pharmaceutical sub-sector companies for the period 2017 - 2022. The T test and F test With SPSS
Practical/Policy implication : In this case, market perception is not only influenced by financial performance, especially profitability, but is influenced by many other factors
Silent information regulator sirtuin 1 ameliorates acute liver failure via the p53/glutathione peroxidase 4/gasdermin D axis
Authors: Zhou Xing-Nian , Zhang Quan , Peng Hong , Qin Yu-Jie , Liu Yu-Hong , Wang Lu , Cheng Ming-Liang , Luo Xin-Hua , Li Hong 
Published: March 2024

BACKGROUND
Acute liver failure (ALF) has a high mortality with widespread hepatocyte death involving ferroptosis and pyroptosis. The silent information regulator sirtuin 1 (SIRT1)-mediated deacetylation affects multiple biological processes, including cellular senescence, apoptosis, sugar and lipid metabolism, oxidative stress, and inflammation.
AIM
To investigate the association between ferroptosis and pyroptosis and the upstream regulatory mechanisms.
METHODS
This study included 30 patients with ALF and 30 healthy individuals who underwent serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) testing. C57BL/6 mice were also intraperitoneally pretreated with SIRT1, p53, or glutathione peroxidase 4 (GPX4) inducers and inhibitors and injected with lipopolysaccharide (LPS)/D-galactosamine (D-GalN) to induce ALF. Gasdermin D (GSDMD)-/- mice were used as an experimental group. Histological changes in liver tissue were monitored by hematoxylin and eosin staining. ALT, AST, glutathione, reactive oxygen species, and iron levels were measured using commercial kits. Ferroptosis- and pyroptosis-related protein and mRNA expression was detected by western blot and quantitative real-time polymerase chain reaction. SIRT1, p53, and GSDMD were assessed by immunofluorescence analysis.
RESULTS
Serum AST and ALT levels were elevated in patients with ALF. SIRT1, solute carrier family 7a member 11 (SLC7A11), and GPX4 protein expression was decreased and acetylated p5, p53, GSDMD, and acyl-CoA synthetase long-chain family member 4 (ACSL4) protein levels were elevated in human ALF liver tissue. In the p53 and ferroptosis inhibitor-treated and GSDMD-/- groups, serum interleukin (IL)-1β, tumour necrosis factor alpha, IL-6, IL-2 and C-C motif ligand 2 levels were decreased and hepatic impairment was mitigated. In mice with GSDMD knockout, p53 was reduced, GPX4 was increased, and ferroptotic events (depletion of SLC7A11, elevation of ACSL4, and iron accumulation) were detected. In vitro , knockdown of p53 and overexpression of GPX4 reduced AST and ALT levels, the cytostatic rate, and GSDMD expression, restoring SLC7A11 depletion. Moreover, SIRT1 agonist and overexpression of SIRT1 alleviated acute liver injury and decreased iron deposition compared with results in the model group, accompanied by reduced p53, GSDMD, and ACSL4, and increased SLC7A11 and GPX4. Inactivation of SIRT1 exacerbated ferroptotic and pyroptotic cell death and aggravated liver injury in LPS/D-GalN-induced in vitro and in vivo models.
CONCLUSION
SIRT1 activation attenuates LPS/D-GalN-induced ferroptosis and pyroptosis by inhibiting the p53/GPX4/GSDMD signaling pathway in ALF.
Identification of an immune-related gene signature for predicting prognosis and immunotherapy efficacy in liver cancer via cell-cell communication
Authors: Li Jun-Tao , Zhang Hong-Mei , Wang Wei , Wei Dong-Qing 
Published: March 2024

BACKGROUND
Liver cancer is one of the deadliest malignant tumors worldwide. Immunotherapy has provided hope to patients with advanced liver cancer, but only a small fraction of patients benefit from this treatment due to individual differences. Identifying immune-related gene signatures in liver cancer patients not only aids physicians in cancer diagnosis but also offers personalized treatment strategies, thereby improving patient survival rates. Although several methods have been developed to predict the prognosis and immunotherapeutic efficacy in patients with liver cancer, the impact of cell-cell interactions in the tumor microenvironment has not been adequately considered.
AIM
To identify immune-related gene signals for predicting liver cancer prognosis and immunotherapy efficacy.
METHODS
Cell grouping and cell-cell communication analysis were performed on single-cell RNA-sequencing data to identify highly active cell groups in immune-related pathways. Highly active immune cells were identified by intersecting the highly active cell groups with B cells and T cells. The significantly differentially expressed genes between highly active immune cells and other cells were subsequently selected as features, and a least absolute shrinkage and selection operator (LASSO) regression model was constructed to screen for diagnostic-related features. Fourteen genes that were selected more than 5 times in 10 LASSO regression experiments were included in a multivariable Cox regression model. Finally, 3 genes (stathmin 1, cofilin 1, and C-C chemokine ligand 5) significantly associated with survival were identified and used to construct an immune-related gene signature.
RESULTS
The immune-related gene signature composed of stathmin 1, cofilin 1, and C-C chemokine ligand 5 was identified through cell-cell communication. The effectiveness of the identified gene signature was validated based on experimental results of predictive immunotherapy response, tumor mutation burden analysis, immune cell infiltration analysis, survival analysis, and expression analysis.
CONCLUSION
The findings suggest that the identified gene signature may contribute to a deeper understanding of the activity patterns of immune cells in the liver tumor microenvironment, providing insights for personalized treatment strategies.