bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterisation of potholes formed on bedrock sandstones at Loei Dun, Phetchabun Geopark, Thailand
Authors: Singtuen Vimoltip , Junjuer Thitaree 
Published: May 2022

Abstract
Phetchabun National Geopark comprises varied geosites; one of the fluvial bedrock landforms distinguished here is Loei Dun. This shows many potholes in Mesozoic sandstone of the Nam Phong Formation (Khorat Group). A genetic study of the occurrence of the Loei Dun potholes lends it a higher geoheritage value. For the present study we did fieldwork and carried out petrographical and geotechnical analyses so as to classify and characterise the potholes and consider geotourism potentials. Petrographically, the bedrock sandstone is a lithic arenite which consists of 82-96 percent very fine to coarse, well-sorted subangular sand with low sphericity and calcite cementation. Our geotechnical analysis of the bedrock sandstone suggests that pothole occurrence may be linked to low rock strength and slake durability index with high rock absorption and porosity at Loei Dun. Field studies confirmed the impact of other factors such as joints/faults, fluvial conditions and biological weathering. There are five types of pothole, viz., simple ones, potholes with external furrows, compound potholes, breached potholes and lateral ones. The present study adds educational value to the Loei Dun geosite at Phetchabun Geoparks and cultural and economic aspects can be further strengthened through the development of geotourism in the area.
Stacked Auto-encoder Based Feature Transfer Learning and Optimized LSSVM-PSO Classifier in Bearing Fault Diagnosis
Authors: Nguyen VietHung , Cheng JunSheng , Thai VanTrong 
Published: May 2022

Abstract
This paper proposes a new diagnosis technique for predicting the big data of roller bearing multi-level fault, which uses the deep learning method for the feature representation of the vibration signal and an optimized machine learning model. First, vibration feature extraction by stacked auto-encoders (VFE-SAE) with two layers in roller bearing fault signals is proposed. The unsupervised learning algorithm in VFE-SAE is used to reveal significant properties in the vibration data, such as nonlinear and non-stationary properties. The extracted features can provide good discriminability for fault diagnosis tasks. Second, a classifier model is optimized based on least squares support vector machine classification and particle swarm optimization (LSSVM-PSO). This model is used to perform supervised fine-tuning and classification; it is trained with the labelled features to identify the target data. Especially, using transfer learning, the performance of the bearing fault diagnosis technique can be fine-tuned. In other words, the features of the target vibration signal can be extracted by the learning of feature representation, which is dependent on the weight matrix of hidden layers of the VFE-SAE method. The experimental results (by analyzing the roller bearing vibration signals with multi-status fault) demonstrate that VFE-SAE based feature extraction in conjunction with the LSSVM-PSO classification is more accurate than other popular classifier models. The proposed VFE-SAE – LSSVMPSO method can effectively diagnose bearing faults with 97.76 % accuracy, even when using 80 % of the target data.
Deep Learning Measurement Model to Segment the Nuchal Translucency Region for the Early Identification of Down Syndrome
Authors: Thomas Mary Christeena , Arjunan Sridhar P. 
Published: May 2022

Abstract
Down syndrome (DS) or Trisomy 21 is a genetic disorder that causes intellectual and mental disability in fetuses. The most essential marker for detecting DS during the first trimester of pregnancy is nuchal translucency (NT). Effective segmentation of the NT contour from the ultrasound (US) images becomes challenging due to the presence of speckle noise and weak edges. This study presents a Convolutional Neural Network (CNN) based SegNet model using a Visual Geometry Group (VGG-16) for semantically segmenting the NT region from the US fetal images and providing a fast and affordable diagnosis during the early stages of gestation. A transfer learning approach using AlexNet is implemented to train the NT segmented regions for the identification of DS. The proposed model achieved a Jaccard index of 0.96 and classification accuracy of 91.7 %, sensitivity of 85.7 %, and a Receiver operating characteristic (ROC) of 0.95.
Muscle-skeletal metastatic pattern in vulvar cancer
Authors: Secară Diana , Meca Daniela , Vasilescu Sorin , Uzunov Ana , Baros Alexandru , Pariza George , Iordache Mădălina , Sajin Maria , Dumitru Adrian , Creţu Bogdan , Cîrstoiu Cătălin , Turcan Natalia , Cîrstoiu Monica Mihaela 
Published: May 2022

Abstract
Vulvar cancer is a rare malignancy of the genital tract, the fourth most common type in this category. The most common form of the clinical appearance is long-lasting pruritus, a lump or mass on the vulva. Despite its histological type, in most cases, invasive vulvar cancer metastasizes primarily through the lymphatic system. Bone metastases related to gynecological cancers are rare, often underdiagnosed, and have a very poor prognosis. The most common site of metastasis in vulvar cancer is the lung, which is affected in about 45%, followed closely by the liver and brain. Bone metastases are present in about 10% to a quarter of cases. The most common places are the spine, pelvic bone, ribs, skull, limb bones and sternum. The only characteristic of the bone microenvironment is its high sensitivity to endocrine status, as vulvar cancer affects postmenopausal women. Thus, the theory of the protective role of estrogen on bone density and bone metastases remains an open door for future protection and treatment strategies.
Does Female Education Generate Economic Growth? An Empirical Analysis of Western Balkan Countries
Authors: Jusaj Yvesa , Fetai Besnik 
Published: May 2022

Abstract
This paper investigates the relationship between female education and economic growth in Western Balkan countries during the period 2000-2019. The motive behind choosing Western Balkan countries was because there is insufficient research that has been made in this field of study; hence, this research assists to expand the issue of this topic. By using GDP as dependent variable, the paper addresses the question whether female education generates or not economic growth. The techniques applied for this study are OLS, fixed and random effects, and Hausman-Taylor model IVs. The findings show a positive relationship between GDP per capita, female labor participation, school enrollment primary, and literacy rate. On the other hand, there exists a negative relationship with fertility rate, while the school enrollment tertiary is statistically insignificant. This paper brings evidence that female education generates more economic growth in Western Balkan countries. Therefore, the Government of the Western Balkans should take into consideration to invest more on education of the woman in those countries. These in turn will lead to higher economic growth.
Human Capital Development and Sustainable Development: Evidence from Nigeria
Authors: Olowookere Johnson Kolawole , Olanipekun Wahid Damilola , Sokunbi Gbenro Matthew , Aderemi Timothy Ayomitunde 
Published: May 2022

Abstract
The contributions of human capital development in achieving the sustainable development cannot be overemphasized in any economy, this is because investment in education and health has been argued as the strategic impetus for improving the quality of human resources. Against this backdrop, this study investigates the impact of human capital development on the sustainable development goal one (1) – poverty reduction. The study utilizes the Nigerian data combining Johansen Cointegration test, Granger causality test and Fully Modified Least Squares to establish how public investments in both education and health affect poverty reduction in the country between 1981 and 2019. Originating from the findings of this study, both government expenditure on health and capital formation Granger caused poverty reduction in Nigeria. This is a vital signal that human capital development in the form of investment in health of human resources is an important condition for the achievement of the sustainable development goal one (1) – poverty eradication in Nigeria. Similarly, all the selected components of human capital development have positive contributions to poverty reduction in Nigeria. However, the contributions of health expenditures and capital formation are statistically significant. This implies that health expenditures and capital formation have a trickle-down effect on poverty reduction in Nigeria. Therefore, this study recommends the following: any time the Nigerian policymakers want to achieve the sustainable development goal one (1) – poverty reduction, the Nigerian budgetary allocations to education and health sectors should be in tandem with the global benchmark; this would ensure material and human resources that could drive the country towards the sustainable development. The enhancement of educational and health facilities by the policymakers would also bring about improvement in the living standard of the Nigerians.
Geographical approach to determining access to justice in criminal cases (on the example of district courts of the Tyumen region)
Authors: Abdulvaliev Almaz Firzyarovich 
Published: May 2022

The purpose of this study is to test the extent to which courts of general jurisdiction in some regions of the Russian Federation are accessible to the population from a geographical point of view. The object of the study was the district courts of general jurisdiction located in the district centers of the Tyumen region, and their remoteness from the locations of local governments, law enforcement agencies, airports, bus stations and railway stations. The main research methods were the geoinformation method, the cartographic method, as well as the comparative legal method, including the analysis of the norms of the criminal procedure legislation of the Russian Federation and judicial practice. The application of the geographical approach made it possible to establish in various aspects how accessible the courts of general jurisdiction are to the population living in various municipal districts of the Tyumen region. В The conducted research revealed a number of problems related to ensuring access to justice for the local population. Despite the fact that most of the district courts of general jurisdiction in municipal districts are located within walking distance from the local self-government and law enforcement bodies nearby in the district center and have good transport links with bus stations, railway stations and air terminals, yet the district courts remain difficult to access for the population due to remoteness and lack of good and constant transport communication. In addition, the study showed that not all municipal districts have courts of general jurisdiction.
PENGARUH RELIGIUSITAS DAN PENGETAHUAN TERHADAP PERILAKU BERWAKAF UANG
Authors: Mahendra Dicky , M Nawawi Zuhrinal , Imsar  
Published: May 2022

Tujuan penelitian ini adalah untuk mengetahui pengaruh religiusitas dan pengetahuan terhadap perilaku berwakaf uang. Penelitian ini menggunakan dua variabel independen yaitu religiusitas dan pengetahuan dengan satu variabel dependen yaitu perilaku berwakaf uang. Setelah dilakukan tinjaun pustaka maupun lapangan dan penyusunan hipotesis, data dalam penelitian ini dikumpulkan melalui penyebaran kuesioner kepada 63 Staf dan Pengajar di Fakultas Ekonomi dan Bisnis Islam UIN SU dan Fakultas Ekonomi UISU dengan teknik pengambilan sampel menggunakan purposive sample dengan pengukuran skala likert. Data diproses melalui program SPSS Versi 22.0 dengan teknik analisis regresi linier berganda. Hasil penelitian ini menunjukkan bahwa religiusitas dan pengetahuan berpengaruh positif dan signifikan terhadap perilaku berwakaf uang. Dari hasil uji t membuktikan bahwa secara parsial variabel religiusitas dan pengetahuan secara simultan signifikan terhadap perilaku berwakaf uang dengan nilai F hitung lebih besar daripada F tabel. Berdasarkan analisis tersebut maka diambil suatu kesimpulan bahwa religiusitas dan pengetahuan mempunyai pengaruh yang signifikan baik secara parsial maupun simultan terhadap perilaku berwakaf uang. Dari hasil koefisien determinasi diperoleh (R) sebesar 0,818 artinya terdapat hubungan kuat searah antara variabel pengetahuan dan religiusitas dengan perilaku berwakaf uang dan dari hasil R square diperoleh hasil 0,669. Hal ini berarti variabel bebas pengetahuan dan religiusitas memiliki pengaruh 66,9% terhadap variabel terikat perilaku berwakaf uang.
The Impact of Corporate Governance with Mediating Effect of Digital Innovation on Firm Performance
Authors: Malik Muhammad Shaukat , Younus Sabah , Sattar Shahzadi 
Published: May 2022

Purpose: The COVID-19 issue emphasized the significance of strong governance in changing the firm's actions because there are still health hazards (Ashraf, 2020). With the pandemic scenario, digital innovation, adoption, and integration into practical activities and operations is critical for any organization seeking a long-term competitive edge (Grove, 2018). The current study is an attempt to understand the impact of corporate governance on firm performance with the mediating role of digital innovation Design/Methodology/Approach: Based on the most convenient sample approach, the Punjab banking industry has been considered. The questionnaire survey approach was used, and survey results were gathered through both online and in-person contacts Findings: The results obtained show that digital innovation has reduced the effect of Board Size and Board Diversity while the effect of Board Independence, Board Committees and Frequency of yearly conducted meetings held in a year were diverted from their directions in the results of indirect effect. Implications/Originality/Value: This study contributes to the literature by illuminating the aspects that might form the foundation for the creation of enhanced company performance. Following the global emergence of a pandemic, there has been very little literature work identified building a solid relational foundation.
Pelatihan Teknologi Pengolahan Saus Cabai Dan Keamananan Pangannya Untuk Masyarakat Desa Blang Pulo Kecamatan Muara Satu Kota Lhokseumawe
Authors: Suryati Suryati , Masrullita Masrullita , Meriatna Meriatna , Sulahatun Sulhatun , ZA Nasrul , Ishak Ishak 
Published: May 2022

ABSTRAK Cabai merupakan komoditas hortikultura di Indonesia khususnya Aceh yang banyak dikonsumsi oleh masyarakat. Cabai digunakan untuk keperluan rumah tangga dan juga dapat digunakan untuk keperluan industri diantaranya, industri bumbu masakan dan industri makanan. Ketersediaan dan kebutuhan cabai merah di masyarakat sangat tidak stabil. Hal tersebut dipengaruhi oleh berbagai faktor, seperti cuaca, bencana, hama, dan sebagainya. Keadaan demikian merupakan permasalahan pertanian yang sering dihadapi di masyarakat. Pada saat produksi meningkat, harga cabai merah relatif rendah. Pada saat produksi cabai merah menurun, harga cabai merah akan meningkat karena terjadi kelangkaan komoditas. Salah satu produk olahan cabai yang akhir-akhir ini semakin memasyarakat adalah saus cabai. Saus cabai adalah saus yang diperoleh dari bahan utama cabai yang berkualitas baik, yang diolah dengan penambahan bumbu-bumbu dengan atau tanpa penambahan bahan makanan lain. Pengolahan buah cabai menjadi serbuk dan saus cabai, selain dapat menghasilkan produk yang lebih awet, juga merupakan konsumsi yang praktis, rasanya enak dan menyegarkan, juga bermanfaat memperbaiki rasa pada masakan. Berdasarkan hal tersebut maka dilakukan Kegiatan Pengabdian Kepada Masyarakat Blang Pulo berupa Pelatihan Teknologi Pengolahan Saus Cabai Dan Keamananan Pangannya Untuk Masyarakat Desa Blang Pulo Kecamatan Muara Satu Kota Lhokseumawe. Kegiatan ini bertujuan untuk mendapatkan teknologi pengolahan saus cabai berkualitas yang memenuhi standar mutu, dan dapat meningkatkan nilai tambah serta aman untuk dikonsumsi. Metode yang digunakan adalah penyuluhan dan pendampingan pengolahan saos cabai. Hasil dan luaran yang dicapai dari hasil kegiatan pengabdian yang sudah dilakukan, dari 22 peserta yang mengikuti kegiatan, 100% menyaatakan hasilnya sangat bermanfaat, 69% (15 orang) berniat mencoba sendiri, sedangkan 31% biasa saja.
PEMBERIAN TEPUNG DAUN MENGKUDU (Morinda citrifolia) TERHADAP KUALITAS FISIK DEDAK PADI SELAMA PENYIMPANAN
Authors: Kunuela Deni , Fredriksz Shirley , Joris Lily 
Published: May 2022

ABSTRAK
Penelitian ini bertujuan untuk mengetahui pengaruh pemberian tepung daun mengkudu (Morinda citrifolia) dengan jumlah yang berbeda terhadap kualitas fisik dedak padi selama penyimpanan. Penelitian ini dilakukan di Laboratorium Teknologi dan Rekayasa Pakan, Jurusan Peternakan Fakultas Pertanian Unpatti Ambon sejak bulan September 2021 - Oktober 2021. Bahan yang digunakan dalam penelitian ini adalah dedak padi, daun mengkudu, dan aquabides. Penelitian yang dilakukan merupakan penelitian eksperimen dengan menggunakan Rancangan Acak Lengkap (RAL), dengan 4 perlakuan dan 4 ulangan sehingga terdapat 16 unit percobaan. Variabel kualitatif seperti warna,aroma, keberadaan jamur dianalisis secara deskriptif. Variabel yang diamati adalah kualitas fisik dedak padi meliputi berat, warna, aroma (bau), keberadaan kutu, keberadaan jamur, dan pH. Hasil penelitian menunjukan bahwa perlakuan penambahan tepung daun mengkudu 4 gram, 8 gram, 12 gram dalam 200 gram dedak padi menunjukan pengaruh terhadap berat dedak padi sebelum dan sesudah penyimpanan, warna dimana penambahan tepung daun mengkudu memberi efek warna kehijauan pada dedak padi sebelum dan sesudah penyimpanan, bau (aroma) dari penggunaan daun mengkudu menyebabkan tidak berbau apek atau tengik, juga berpengaruh menekan pertumbuhan jamur, meskipun demikian secara keseluruhan pemberian daun mengkudu pada jumlah yang digunakan dalam penelitian belum mampu mempertahankan kualitas fisik dedak padi.
ABSTRACT
This research aims to find out the effect of distributing different amounts of powdered noni leaves (Morinda Citrifolia) on the physical quality of rice bran. This research was conducted in the Food Technology and Engineering Laboratory of Pattimura University’s Faculty of Agriculture from September 2021 to October 2021. The ingredients that were used in the research are Rice Bran, Noni Leaves, and Aquabides. This research is an experiment using a completely randomized design (CRD), with 4 treatments and 4 repetitions, resulting in 16 experiment units. Qualitative variables such as color, odor, and the existence of fungus are analyzed descriptively. The variables that are observed are the physical quality of rice bran which includes weight, color, odor, the existence of lice, the existence of mold, and the pH level. The research shows that the treatments that add 4 grams, 8 grams, and 12 grams of Powdered Noni Leaves on 200 grams of rice bran show effects on its weight before and after storage. The color also changes, adding Powdered Noni Leaves gives rice bran a greenish color. It also causes the odor of the bran to be not musty and rancid. It also suppresses mold growth. However, in general, the addition of said amounts of Powdered Noni Leaves is still not able to preserve the physical quality of rice bran.
ANALISIS KADAR AIR DAN KUALITAS FISIK DAGING SAPI YANG DIJUAL DI PASAR TRADISIONAL KOTA AMBON
Authors: Liur Isye Jean , Souhoka Demianus F. , Papilaya Bercomien J. 
Published: May 2022

ABSTRAK
Kebutuhan daging masyarakat Indonesia meningkat setiap tahun sesuai kenaikan jumlah penduduk, sehingga kebutuhan protein hewani juga ikut meningkat. Daging sapi diharapkan mempunyai kualitas yang layak untuk dikonsumsi. Daging yang memiliki kualitas bagus tentunya akan memberikan produk olahan yang bagus dan akan mempermudah selama proses pengolahan. Daging yang beredar dimasyarakat seringkali tidak terjamin kualitasnya. Oleh sebab itu diperlukan uji fisik sebelum daging dikonsumsi. Pengujian sifat fisik daging di pasar tradisional sangat diperlukan karena belum adanya penelitian sebelumnya mengenai kualitas fisik daging sapi di pasar tradisional Kota Ambon. Diharapkan dari Penelitian ini akan mendapatkan informasi yang dapat dibagikan kepada masyarakat tentang kualitas fisik daging sapi yang ada di pasar tradisional Kota Ambon. Sampel yang digunakan adalah daging sapi segar sebanyak 1 kg yang diambil dari 6 penjual daging sapi segar di pasar tradisional Kota Ambon. Pengujian kualitas daging sapi segar meliputi analisa Kadar Air, pH, Cooking loss dan Water Holding Capacity (WHC). Metode penelitian yang digunakan adalah percobaan dengan Rancangan Acak Lengkap (RAL). Hasil Penelitian menunjukkan Nilai Kadar Air, pH, Cooking Loss dan Water Holding Capacity (WHC) berada pada kisaran normal dengan Nilai Kadar air dan pH menunjukkan perbedaan yang tidak berbeda nyata (P>0,05) sedangkan Cooking Loss dan Water Holding Capacity (WHC) menunjukkan perbedaan yang sangat nyata (P<0,01).
ABSTRACT
The need for meat in Indonesia increases every year according to the increase in population, so the need for animal protein also increases. Beef is expected to have decent quality for consumption. Meat that has good quality will certainly provide good processed products and will make it easier during the processing process. Meat circulating in the community is often not guaranteed quality. Therefore, a physical test is needed before the meat is consumed. Testing the physical properties of meat in traditional markets is very necessary because there has been no previous research on the physical quality of beef in traditional markets in Ambon City. It is hoped that this research will provide information that can be shared with the public about the physical quality of beef in the Ambon City traditional market. The sample used was 1 kg of fresh beef taken from 6 fresh beef sellers in the Ambon City traditional market. Testing the quality of fresh beef includes an analysis of water content, pH, cooking loss, and water holding capacity (WHC). The research method used was an experiment with a completely randomized design (CRD). The results showed that the value of water content, pH, Cooking Loss, and Water Holding Capacity (WHC) were in the normal range with the value of water content and pH showing no significant difference (P>0.05) while Cooking Loss and Water Holding Capacity (WHC) ) showed a very significant difference (P<0.01).
DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS
Authors: Dewi Atika Ratna , Ananda Ridho , Rifanti Utti Marina 
Published: May 2022

Covid-19 is a type of infectious disease caused by SARS Cov-2. This virus has spread throughout the world to cause a pandemic. This study aimed to model and analyze the spread of Covid-19 with the isolation factor. The spread of Covid-19 can be made into an epidemic model by taking into account the population of susceptible humans (S), infected humans (I), isolated humans (L), and recovered humans (R). The method used in this research was to derive a non-linear system of differential equations model, complete the model qualitatively, find the primary reproduction ratio ( , see the model’s behavior by analyzing the dynamics of the equilibrium point and make model simulations. This model has a disease-free equilibrium point that is asymptotically stable, while at the equilibrium point, the endemic is unstable. The results of the model simulation and analysis of the value indicate that the chance of successful Covid-19 spread and the isolation factor is a significant controlled parameter in reducing the value.