bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection of Microstructural Medial Prefrontal Cortex Changes Using Magnetic Resonance Imaging Texture Analysis in a Post-Traumatic Stress Disorder Rat Model
Authors: Zheng Shilei , Wang Han , Han Fang , Chu Jianyi , Zhang Fan , Zhang Xianglin , Shi Yuxiu , Zhang Lili 
Published: April 2022

BackgroundRadiomics is characterized by high-throughput extraction of texture features from medical images and the mining of information that can potentially be used to define neuroimaging markers in many neurological or psychiatric diseases. However, there have been few studies concerning MRI radiomics in post-traumatic stress disorder (PTSD). The study's aims were to appraise changes in microstructure of the medial prefrontal cortex (mPFC) in a PTSD animal model, specifically single-prolonged stress (SPS) rats, by using MRI texture analysis. The feasibility of using a radiomics approach to classify PTSD rats was examined.MethodsMorris water maze and elevated plus maze were used to assess behavioral changes in the rats. Two hundred and sixty two texture features were extracted from each region of interest in T2-weighted images. Stepwise discriminant analysis (SDA) and LASSO regression were used to perform feature selection and radiomics signature building to identify mPFC radiomics signatures consisting of optimal features, respectively. Receiver operating characteristic curve plots were used to evaluate the classification performance. Immunofluorescence techniques were used to examine the expression of glial fibrillary acidic protein (GFAP) and neuronal nuclei (NeuN) in the mPFC. Nuclear pycnosis was detected using 4′,6-diamidino-2-phenylindole (DAPI) staining.ResultsBehavioral results indicated decreased learning and spatial memory performance and increased anxiety-like behavior after SPS stimulation. SDA analysis showed that the general non-cross-validated and cross-validated discrimination accuracies were 86.5% and 80.4%. After LASSO dimensionality reduction, 10 classification models were established. For classifying PTSD rats between the control and each SPS group, these models achieved AUCs of 0.944, 0.950, 0.959, and 0.936. Among four SPS groups, the AUCs were 0.927, 0.943, 0.967, 0.916, 0.932, and 0.893, respectively. The number of GFAP-positive cells and intensity of GFAP-IR within the mPFC increased 1 day after SPS treatment, and then decreased. The intensity of NeuN-IR and number of NeuN-positive cells significantly decreased from 1 to 14 days after SPS stimulation. The brightness levels of DAPI-stained nuclei increased in SPS groups.ConclusionNon-invasive MRI radiomics features present an efficient and sensitive way to detect microstructural changes in the mPFC after SPS stimulation, and they could potentially serve as a novel neuroimaging marker in PTSD diagnosis.
Closure of Iterative Laparotomy in Patients With Previous Mesh Reinforcement a Cohorts’ Study. Short-Term Results
Authors: Bravo-Salva A. , Sancho-Insenser J.J. , Pera-Román M. , Pereira-Rodriguez J.A. 
Published: April 2022

Purpose: Due to extension of prophylactic mesh indications use will become more common to find patients receiving an iterative laparotomy (IL) over a previous reinforced abdominal wall. The aim of this study was to analyze outcomes after IL in patients with previous mesh reinforcement.Methods: This study was a prospective secondary analysis of midline laparotomy closure performed from July 2017 to July 2018 registered in PHACPA study (NCT 02658955). IL were included and surgery characteristics and outcomes analyzed. We compared two groups: with (PreM) or without previous prophylactic onlay mesh reinforcement (PreS) Subgroups’ analysis, risk factors for complications and survival free hernia analysis were performed.Results: 121 IL were analyzed. Only obesity was associated with higher SSO (OR 2.6; CI 95% 1.02–6.90; p = 0.04) There were 15 incisional hernias (IH) (14.4%). Group with previous mesh reinforcement (pre M) had a higher statistically significative incidence of IH (OR = 1.21; CI 95% 1.05–1.39; p = 0.015). Use of slowly absorbable suture (OR = 0.74; CI 95% 0.60–0.91; p = 0.001), USP 2/0 suture (OR, 0.31; 95% CI, 0.10–0.94; p = 0.033), and small bites technique (OR = 0.81; CI 95% 0.72–0.90; p = 0.011) were associated with less IH.Conclusion: IL has a high percentage of complications and IH. In case of IL without previous reinforcement, a mesh can help to reduce IH. Our data cannot clearly support any technique to close an IL with previous mesh.
Megatrends in Healthcare: Review for the Swiss National Science Foundation’s National Research Programme 74 (NRP74) “Smarter Health Care”
Authors: Deml Michael J. , Jungo Katharina Tabea , Maessen Maud , Martani Andrea , Ulyte Agne 
Published: April 2022

Objectives: In this paper, we present a review of some relevant megatrends in healthcare conducted as part of the Swiss National Science Foundation’s National Research Programme 74 (NRP74) “Smarter Health Care.” Our aim is to stimulate discussions about long-term tendencies underlying the current and future development of the healthcare system.Methods: Our team—a multidisciplinary panel of researchers involved in the NRP74—went through an iterative process of internal consultations followed by a rapid literature review with the goal of reaching group consensus concerning the most relevant megatrends in healthcare.Results: Five megatrends were identified, namely: 1) Socio-demographic shifts. 2) Broadening meaning of “health.” 3) Empowered patients and service users. 4) Digitalization in healthcare. 5) Emergence of new models of care. The main features of each megatrend are presented, drawing often on the situation in Switzerland as a paradigmatic example and adding reflections on the potential influence of the COVID-19 pandemic on them.Conclusion: Considering the long-term megatrends affecting the evolution of healthcare is important—amongst other things–to understand and contextualise the relevance and implications of innovative health services research results.
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis
Authors: Hossain Md Shafayet , Chowdhury Muhammad E. H. , Reaz Mamun Bin Ibne , Ali Sawal Hamid Md , Bakar Ahmad Ashrif A. , Kiranyaz Serkan , Khandakar Amith , Alhatou Mohammed , Habib Rumana , Hossain Muhammad Maqsud 
Published: April 2022

The electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals, highly non-stationary in nature, greatly suffers from motion artifacts while recorded using wearable sensors. Since successful detection of various neurological and neuromuscular disorders is greatly dependent upon clean EEG and fNIRS signals, it is a matter of utmost importance to remove/reduce motion artifacts from EEG and fNIRS signals using reliable and robust methods. In this regard, this paper proposes two robust methods: (i) Wavelet packet decomposition (WPD) and (ii) WPD in combination with canonical correlation analysis (WPD-CCA), for motion artifact correction from single-channel EEG and fNIRS signals. The efficacy of these proposed techniques is tested using a benchmark dataset and the performance of the proposed methods is measured using two well-established performance matrices: (i) difference in the signal to noise ratio ( ) and (ii) percentage reduction in motion artifacts ( ). The proposed WPD-based single-stage motion artifacts correction technique produces the highest average (29.44 dB) when db2 wavelet packet is incorporated whereas the greatest average (53.48%) is obtained using db1 wavelet packet for all the available 23 EEG recordings. Our proposed two-stage motion artifacts correction technique, i.e., the WPD-CCA method utilizing db1 wavelet packet has shown the best denoising performance producing an average and values of 30.76 dB and 59.51%, respectively, for all the EEG recordings. On the other hand, for the available 16 fNIRS recordings, the two-stage motion artifacts removal technique, i.e., WPD-CCA has produced the best average (16.55 dB, utilizing db1 wavelet packet) and largest average (41.40%, using fk8 wavelet packet). The highest average and using single-stage artifacts removal techniques (WPD) are found as 16.11 dB and 26.40%, respectively, for all the fNIRS signals using fk4 wavelet packet. In both EEG and fNIRS modalities, the percentage reduction in motion artifacts increases by 11.28% and 56.82%, respectively when two-stage WPD-CCA techniques are employed in comparison with the single-stage WPD method. In addition, the average also increases when WPD-CCA techniques are used instead of single-stage WPD for both EEG and fNIRS signals. The increment in both and values is a clear indication that two-stage WPD-CCA performs relatively better compared to single-stage WPD. The results reported using the proposed methods outperform most of the existing state-of-the-art techniques.
Sistem Informasi Geografis berbasis Web untuk Penentuan Prioritas Pembangunan Embung
Authors: Budiyanto Kornelius Satria , Pertiwi Windasari Ike , Eko Windarto Yudi , Ulfiana Desyta 
Published: April 2022

Sumber mata air merupakan kebutuhan manusia untuk kehidupan sehari-hari. Salah satu manfaatnya untuk mengairi lahan pertanian. Lahan pertanian di Kabupaten Semarang dalam beberapa tahun mengalami kekeringan karena musim kemarau.Â Terdapat 8 calon embung di Kabupaten Semarang telah teridentifikasi untuk prioritas jangka pendek. Â Pemilihan lokasi embung menjadi masalah Â tersendiri pada pengolahan data yang memiliki banyak kriteria yang harus diperhatikan di bidang Sumber Daya Air. Data yang diperoleh dapat disimpan dalam bentuk basis data dalam SIG. Oleh karena itu, sistem pendukung keputusan diperlukan untuk menentukan prioritas embung terbaik. Metode yang digunakan pada penelitian ini ialah Â TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). Data yang sudah diolah akan diimplementasikan untuk menentukan prioritas embung terbaik di suatu daerah dan ditampilkan dalam bentuk visual Carto Map. Sistem dibuat menggunakan kerangka kerja Codeigniter berbasis PHP dan basis data MySQL. Pada pelaksanaannya digunakan metode Rapid Application Development (RAD). Hasil perhitungan diperoleh tiga urutan pertama yang memiliki volume tampungan efektif terbesar dan harga air terendah yang dapat diprioritaskan adalah Mluweh, Lebak, dan Pakis.
CNN Modelling Untuk Deteksi Wajah Berbasis Gender Menggunakan Python
Authors: Nengsih Warnia 
Published: April 2022

Pendeteksian wajah (Face Detection) merupakan Pemanfaatan data Biologis (Biometrics) dengan mengidentifikasi ciri-ciri fisik yang ada pada manusia. Digitalisasi pengenalan gender sebagai sebuah teknologi untuk mengenali gender manusia dengan membedakan wajah wanita dan wajah pria berdasarkan fitur Ekstraksi. Keberadaan sistem ini secara implementatif dapat diaplikasikan untuk sistem pengawasan otomatis dan sistem monitoring atau segmentasi pasar berdasarkan trend demografis serta juga dapat diaplikasikan untuk pembatasan akses suatu ruangan. Penelitian ini menggunakan Convolutional Neural Network (CNN). CNN merupakan salah satu jenis neural network dimana metode ini dapat digunakan pada data image. CNN memiliki kemampuan untuk mengenali objek pada suatu image. Secara keseluruhan dataset yang digunakan memiliki 40 anotasi atribut untuk mendeskripsikan image wanita dan pria. Sistem deteksi wajah ini menggunakan python dan Keras sebagai library Machine Learning open source untuk nerve network,dikembangkan untuk membuat penerapan model pembelajaran yang mendalam. Dengan adanya system ini memberikan analisa keakuratan dalam pendeteksian gender sehingga dapat dikembangkan untuk penelitian yang lebih implementatif. Jumlah gambar harus seimbang untuk mendapatkan kinerja yang baik untuk permodelan, masing-masing model akan memiliki folder pelatihan, validasi dan data uji. Jumlah gambar yang tidak seimbang dapat berpengaruh pada kinerja model CNN. Model yang dibangun menggunakan transfer learning dari InceptionV3 dimana permodelan dapat mengenali gender dengan akurasi sebesar 92,6%
NASCENTES NA LEGISLAÇÃO BRASILEIRA: IMPLICAÇÕES E CONSEQUÊNCIAS PARA O GERECIAMENTO HÍDRICO AMBIENTAL
Authors: Holanda Débora Maciel Castelo , Sales Marta Celina Linhares 
Published: April 2022

A água é um elemento vital para os seres vivos, bem como para o desenvolvimento da sociedade. Garantir a qualidade e a conservação dos recursos hídricos é de responsabilidade governamental e depende, sobretudo, da capacidade de execução das políticas ambientais. A legislação brasileira, apresenta instrumentos com diferentes abordagens sobre a água, estando, atualmente, este elemento salvaguardado sob o entendimento do art. 225 da Constituição Federal. No entanto, tem-se observado conflitos entre os marcos regulatórios, sendo reverberado, consequentemente, em impactos negativos sobre os sistemas naturais. Assim, dentro do gerenciamento hídrico ambiental, destacou-se os sistemas de nascentes de drenagens, ambiente estratégico para produção de água. Em meio a discussão sobre domínio privado das águas e as diretrizes encontradas na legislação ambiental, vê-se com preocupação o tratamento e manejo dos ambientes de nascentes. Para embasar essa discussão foi apresentado um estudo de caso sobre as nascentes do rio Pacoti, um importante curso d’água para o abastecimento da cidade de Fortaleza. Considera-se que é necessário um maior aporte de conhecimento sobre a dinâmica ambiental das nascentes, para o desenvolvimento de políticas mais eficientes quanto a conservação e manejo dessas fontes hídricas.
Palavras-Chave: Gerenciamento. Nascente. Conservação.
Design of high-order series-coupled microring resonator wavelength filter with differential evolution method
Authors: Udagawa Yudai , Arakawa Taro 
Published: April 2022

Abstract
A design method for higher-order series-coupled microring resonator (MRR) wavelength filters is proposed and discussed. The differential evolution method is one of the machine learning methods, and it is a type of evolutionary algorithm that can be applied to a variety of optimization problems, including non-linear, partially impossible, and multi-modal problems. We design an evaluation function that satisfies multiple requirements by weighting each evaluation item, and optimize the design parameters using the differential evolution method. The weighting values of the evaluation function are adjusted by supervised learning Support Vector Machine to produce a more accurate evaluation function. The designs of high-order MRR filters with target parameters, such as a 3 dB passband, a free spectral range, ripples, and crosstalk, are successfully demonstrated, which shows that the differential evolution method is one of the most effective methods for designing high-order MRR filters.
ANALISIS PENGEMBANGAN VAKSIN TERHADAP HARGA SAHAM SEKTOR F121
Authors: Munandar Agus , Wulandari Noviana , Mursyid Tri Harsanti 
Published: April 2022

AbstrakVirus Covid-19 memberikan kelemahan yang besar untuk berbagai sektor, salah satunya pasar saham yang mana banyak orang ragu untuk melakukan investasi di masa pandemi. Adanya informasi mengenai pengembangan vaksin dari Covid-19 memberi hasrat terhadap perekonomian maupun pasar modal untuk dapat bangkit kembali. Sektor saham F121 dapat merasakan manfaat dengan adanya perluasan untuk vaksin corona ini. Riset berikut memiliki tujuan membaca dari index nilai saham dari sebelum adanya pengembangan vaksin Covid-19 hingga sesudah dilakukannya pengembangan vaksin Covid-19. Penelitian ini menggunakan metode uji beda (paired sample T test) dan uji normalitas data. Hasil dari riset ini terbukti jika nilai saham sektor F121 awal mula belum adanya pemberitahuan perluasan vaksin dan juga nilai saham sektor F121 setelah adanya pemberitahuan pengembangan vaksin mengalami peningkatan yang signifikan Kata kunci: covid-19, saham, vaksin Abstract The Covid-19 virus has provided great weakness for various sectors, one of which is the stock market, where many people are hesitant to invest during the pandemic. The existence of information regarding the development of a vaccine from Covid-19 gives a desire for the economy and the capital market to bounce back. The F121 stock sector can benefit from this expansion for the corona vaccine. The following research aims to read the stock value index from before the development of the Covid-19 vaccine to after the development of the Covid-19 vaccine. This study uses a different test method (paired sample T-test) and data normality test. The results of this research prove that the stock value of the F121 sector, in the beginning, there was no notification of vaccine expansion. Also, the F121 sector stock after the announcement of vaccine development experienced a significant increase. Keywords: covid-19, stock, vaccine
Pemberdayaan Masyarakat Kampung Teluk Dalam Desa Malang Rapat Dalam Pengolahan Kepiting
Authors: Hidayatullah Rizki Pradana , Fitri Aisyah , Dharma Agung Pratama , Setiawan Eka Rezki , Afdilla Shifa , Pratama Roni Vijai , Sumayyah Ummi Nur , Amar Rizki , Safira Okta Putri , Syahfirman Syahfirman , Lubis Desi Marlina , Purwati Rika 
Published: April 2022

Kampung Teluk Dalam terletak di Desa Malang Rapat Kecamatan Gunung Kijang Kabupaten Bintan Provinsi Kepulauan Riau. Di Teluk Dalam masyarakat umumnya berprofesi sebagai nelayan kelong, selain itu juga ada yang menjadi nelayan kepiting. Hasil tangkapan nelayan kepiting tidak selalu baik, ada saja kepiting yang rusak atau kualitasnya menurun, seperti kaki-kaki kepiting yang patah, capitnya lepas atau ukuranya yang kecil, sehingga harga jualnya pun ikut menurun. Kepiting yang rusak atau yang mengalami penurunan kualitas tersebut disebabkan oleh sistem dan teknologi penangkapan yang masih menggunakan cara tradisional sehingga berdampak terhadap hasil tangkapan. Kegiatan ini bertujuan untuk meningkatkan pengetahuan dan keterampilan masyarakat kampung Teluk Dalam terkait pengolahan kepiting menjadi peyek kepiting agar memiliki nilai tambah secara ekonomis. Metode pendampingan yang digunakan adalah PAR (Partisifatory Action Riset), yang dimulai dengan riset pendahuluan, inkulturasi, pengorganisasian masyarakat, merencanakan dan melakukan aksi serta evaluasi. Indikator keberhasilan dari kegiatan ini dapat dilihat dari tiga aspek di antaranya, aspek pemberdayaan, aspek sosial dan aspek ekonomi. Manfaat yang diperoleh masyarakat adalah meningkatnya pengetahuan dan keterampilan dalam memanfaatkan kepiting menjadi peyek kepiting yang bernilai ekonomis lewat Pemberdayaan masyarakat sebagai upaya untuk mewujudkan kesejahteraan masyarakat.
Pendampingan Masyarakat Dalam Upaya Pengembangan Sektor Produktif Melalui Kuliah Kerja Nyata Di Desa Pengujan Kabupaten Bintan
Authors: Kamaruzaman Kamaruzaman , Amali Ihlasul , Heniawati Tri , Anggraini Sri , Indriani Indriani , Asyikin Nur , Safar Muhammad , Apriyanti Fitri Leni , Hartono Hari , Juliana Juliana , Safari Rahmat , Zulfikri Ahmad Kan 
Published: April 2022

Abstrak
Dalam upaya terlaksananya program Kuliah Kerja Nyata (KKN) pada masa pandemi COVID-19, STAIN Sultan Abdurahman melaksanakan dengan pengaturan yang ketat melalui serangkaian ketentuan yang telah ditetapkan oleh pemerintah baik itu secara umum maupun aturan khusus tertentu dari Desa lokasi kegiatan. Kegiatan KKN dilakukan pada beberapa sektor pengembangan Desa diantaranya yaitu pendidikan, keagamaan, sosial dan ekonomi masyarakat Desa Pengujan. Metode yang digunakan dengan metode ABCD (Asset Based Community-Driven Development). Hasil yang diperoleh diantaranya adalah kegiatan yang bertujuan untuk menambah wawasan dan ilmu agama warga masyarakat dan dalam konteks yang lebih moderat, membantu peran orang tua dalam pendidikan anak, mengembangkan potensi dan kreativitas anak, mempererat tali silaturrahim warga desa, menumbuhkan sikap kepedulian terhadap lingkungan, mendampingi upaya peningkatan kondisi ekonomi Desa Pengujan. Masyarakat turut andil berpartisipasi dengan antusias yang tinggi untuk mensukseskan program diberbagai bidang yang tersebut. Masyarakat sangat mengapresiasi terlaksananya berbagai kegiatan yang dipelopori oleh warga kampus, dalam hal ini melalui kegiatan KKN STAIN Sutan Abdurrahman Kepulauan Riau Tahun 2021 dan tahun-tahun sebelumnya. Harapan masyarakat agar kegiatan KKN dapat kembali dilaksanakan untuk periode-periode mendatang.
ANALISIS PENGARUH DISIPLIN KERJA, MOTIVASI DAN KOMPENSASI TERHADAP KINERJA PEGAWAI PADA SEKRETARIAT DEWAN PERWAKILAN RAKYAT DAERAH PROVINSI KALIMANTAN SELATAN
Authors: Muhammad Taufani  
Published: April 2022

ABSTRAK: Muhammad Taufani, Jurusan Manajemen Sumber Daya Manusia Program Pascasarjana Sekolah Tinggi Ilmu Ekonomi Pacasetia Banjarmasin, 2020, Analisis Pengaruh Motivasi, Kompensasi dan Kemampuan Kerja terhadap Kinerja Pegawai Pada Sekretariat Dewan Perwakilan Rakyat Daerah Kabupaten Tabalong. Pembimbing 1 : Dr. Sutrisno, S.E.,M.M. Pembimbing 2 : Asruni, S.E.,M.M. dan 3. Dr. Ir. Donny Gondo Subianto, MM
Tujuan dari penelitian ini adalah untuk mengetahui faktor yang mempengaruhi Kinerja Pegawai Pada Sekretariat Dewan Perwakilan Rakyat Daerah Kabupaten Tabalong. Dilihat dari faktor Motivasi Kerja, kompensasi dan Kemampuan Kerja Terhadap Kinerja Staf Sekretariat Dewan Perwakilan Rakyat Daerah Kabupaten Tabalong.
Metode yang digunakan adalah kuantitatif komperatif dengan analisis regresi berganda untuk mengetahui pengaruh masing-masing variabel yang mempengaruhi kinerja Pegawai Pada Sekretariat Dewan Perwakilan Rakyat Daerah Kabupaten Tabalong. Penelitian dilakukan terhadap 80 orang Pegawai Sekretariat Dewan Perwakilan Rakyat Daerah Kabupaten Tabalong dan dilakukan selama 2 minggu dengan cara membagikan kuesioner.
Hasil analisis menunjukkan bahwa data-data yang digunakan didalam penelitian ini telah memenuhi Uji Validitas, Uji Reabilitas, Uji Asumsi Klasik, yang meliputi: data tidak terjadi gejala heteroskedastisitas, tidak terjadi gejala multikolinearitas, terdistribusi normal, dan. Dari hasil analisis regresi menunjukkan bahwa variabel Independen yaitu Motivasi kerja, Kompensasi dan Kemampuan Kerja secara parsial dan simultan berpengaruh positif signifikan terhadap variabel dependen yaitu Kinerja Pegawai Pada Sekretariat Dewan Perwakilan Rakyat Daerah Provinsi Kalimantan Selatan. Dari penelitian ini variabel Kemampuan Kerja lebih dominan dari variabel Motivasi Kerja dan Kompensasi.

Kata kunci: Motivasi Kerja (X1), Kompensasi (X2) dan Kemampuan Kerja (X3) terhadap Kinerja Pegawai Dewan Perwakilan Rakyat Daerah Kabupaten Tabalong (Y).
Solvability of Higher Order Iterative System with Non-Homogeneous Integral Boundary Conditions
Authors: Namburi Sreedhar , Namana Kanakayya , Rajendra Prasad Kapula  
Published: April 2022

The aim of this paper is to establish the existence of positive solutions by determining the eigenvalue intervals of the parameters μ1, μ2, ..., μm for the iterative system of nonlinear differential equations of order p

wi(p) (x) + μi ai (x) fi (wi+1 (x) ) = 0, 1 ≤ i ≤ m, x∈ [0,1],

wm+1 (x) = w1 (x), x ∈ [0,1],

satisfying non-homogeneous integral boundary conditions

wi (0) = 0, wi' (0) = 0, ..., wi(p-2) (0) = 0,

wi(r) - ηi ∫01gi(τ)wi(r)(τ)dτ = λi, 1 ≤ i ≤ m,

where r ∈ {1, 2, ..., p−2} but fixed, p ≥ 3 and ηi, λi ∈ (0, ∞) are parameters. The fundamental tool in this paper is an application of the Guo-Krasnosel'skii fixed point theorem to establish the existence of positive solutions of the problem for operators on a cone in a Banach space. Here the kernels play a fundamental role in defining an appropriate operator on a suitable cone.