bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS SEKTOR-SEKTOR UNGGULAN KABUPATEN DEMAK
Authors: Sundaro Hendrianto
Published: September 2022

This study aims to identify the leading sectors in Demak Regency. The research objective are: 1) Knowing the basic and non-basic sectors . 2) Knowing whether there is a shift in the regional economic structure  during the 2016-2020 period by looking at the regional components. 3) Knowing the typology of economic sectors. The method used in this study is a quantitative method. The data needed in the form of secondary data, namely PDRB data for Demak Regency in 2016-2020 and PDRB data for Central Java Province in 2016-2020. The analysis was carried out using Location Quotion (LQ) analysis, Klassen Typological Analysis, Shift Share analysis and compilation analysis to obtain a relative ranking of the leading sectors in Demak Regency.
The Results of the analysis provide information that have been identified. First rank (Leading Sector) namely the Trade Sector, Water Supply Sector, Waste Management, Waste and Recycling Sector, Education Services Sector, Second Rank (Potential Sector) Processing Industry Sector, Sector Construction, Information and Communication Sector, Financial and Insurance Services Sector, Real Estate Sector, Health Services Sector and Social Activities. Sector providing accommodation and food and drink, Other service sectors. Ranked third (Developing Sector), Agriculture, forestry and fisheries sector, electricity and gas supply sector, transportation and warehousing sector, corporate services sector, government administration sector, mining and quarrying sector.
Can you see what is missing? printed corpus-based teaching materials can help out with identifying l2 english substitution and ellipsis
Authors: Ufuk Girgin , Zeynep Ölçü Dinçer
Published: September 2022

One of the inspirational forms of integrating technology into Second Language (L2) teaching is using 'corpora'. In this study, corpora were used to develop printed instructional materials to teach grammatical cohesive devices that are not sufficiently represented in L2 English course books. Specifically, the aim was to understand whether the indirect Data-Driven Learning (DDL) application through teacher-prepared corpus-based materials could help out 56 learners with identifying L2 English substitution and ellipsis and also how they would reflect on their experiences by studying with such sources. The change in the learners' proficiencies was measured by comparing their pre and post test scores. In addition, the learners wrote reflections. These reflections were thematically analyzed. Results indicated that the learners improved their skills in identifying L2 English substitution and ellipsis. Considering the subcategories of substitution and ellipsis, it was found that the highest levels of development were observed in substitution clauses and ellipsis verbs. Reflections showed that the learners benefitted from using the printed materials in the learning of the structures. However, they also revealed some pitfalls, such as text difficulty and a lack of thematic cohesion. Some practical suggestions were discussed to promote L2 English learning through printed corpus-based teaching materials.
Can asynchronous video-mediated oral book reports be the solution for foreign language speaking anxiety?
Authors: Sevcan Bayraktar Çepni , Neslihan Keleş , Gökhan Çepni
Published: September 2022

This study investigates the potential of asynchronous video-mediated oral book report assignments to enhance learners' spoken performance and decrease their speaking anxiety. The participants were 42 B1 level preparatory students from the English Language Teaching department who were taking skills-based intensive English education in Turkey. The participants carried out extended speaking tasks in the form of oral book reports within two weeks over 12 weeks (6 oral book reports in total) in the fall term of the academic year 2021/2022. The assigned oral book report videos were analyzed in relation to five categories in the narration rubric, including scores for characters, setting, cohesion or transition, grammar, and pronunciation. In addition, two structured open-ended questionnaires were used to investigate the participants' perceptions of the task's value, their changing performance in the tasks, and perceived changes in their anxiety level over time. Semi-structured interviews were also held to shed more light on the potential of such assignments for language classes. The results indicated that regular video-mediated asynchronous oral book reports helped the participants develop their speaking performance and decrease their speaking anxiety over time. Overcoming time limitations, such assignments have the potential to be used in language classes where teachers can empower every voice.
Dynamic Association Between Board Independence and Firm Profitability: The Moderating Role of Director Ownership
Authors: ISLAM Md Tariqul , ISLAM Mollah Aminul
Published: September 2022

The study investigates the association between board independence, directors' ownership, and organisational profitability. To illustrate the links, the case of listed nonfinancial enterprises on the Dhaka Stock Exchange between 2015 and 2019 is examined. To effectively manage the concern of endogeneity, the generalized method of moments (GMM) is used as the econometric techniquein this research. The study reveals that board independence has a negative and significant effect on profitability, however, the effect of directors' shareholdings on the same is positive and significant. Further to this, the study finds that ownership of directors positively moderates the adverse effect of board independence on organisational performance. The outcome of this study suggests that the influence of a certain governance component may behave differently depending on the power of ownership concentration.
A Self-Powered Energy-Saving Epidemic Prevention Tent
Authors: Xiao Danji , Li Xinying , Chen Chen , Dong Changrong , Wang Di
Published: September 2022

The current situation of the epidemic is complex and changeable. Under the China adherence to the “dynamic zero clearance,” epidemic prevention and control is closely related to all walks of life, and epidemic prevention awning has become one of the essential basic epidemic prevention facilities. However, most of the epidemic awnings are manufactured for the isolation and protection from wind and rain, which could not meet the needs of electricity allocation during emergencies. Therefore, our goal is to design a new energy-saving epidemic prevention tent that is green, stable, and easy to shrink. It is equipped with multiple energy storage and multivariate methods to achieve self-supply of electric energy. First the “1+1” arrangement design of solar power panels on the anti-epidemic tent and pressure power panels combined with the design of pressure power panels under the tent can receive various energy inputs. At the same time, retractable brackets are designed under the four pillars, which are easy to fold and enhance the stability of the canopy. The utilization of energy is more diversified to achieve the purpose of energy conservation and emission reduction. Its market value is broad, and the development prospect is good.
A Case Report on Pulmonary Benign Metastasizing Leiomyoma with Recurrent Uterine Fibroids
Authors: Gong Zheng , Liu Zegang
Published: September 2022

Pulmonary benign metastasizing leiomyoma (PBML) is a type of benign metastasizing leiomyoma (BML), which metastasizes to lungs. In view of the rarity and nonspecific imaging characteristics of PBML, this condition is easily misdiagnosed as malignant lung cancer. This is a case report of a 39-year-old lady in whom multiple bilateral lung nodules were found during a health checkup and was diagnosed with PBML. The patient had recurrent uterine fibroids and underwent myomectomy twice, 7 years and 3 years ago, respectively, before the diagnosis of PBML was made. This patient was asymptomatic, and regular examinations were normal. Her laboratory investigations were all within normal range. Computed tomography (CT) showed multiple nodules in bilateral lungs. In order to confirm the disease, thoracoscopic nodule resection and tissue biopsy were performed. Hematoxylin eosin (HE) staining showed spindle-shaped cells, while immunohistochemical staining revealed positive for desmin, smooth muscle actin (SMA), estrogen receptor (ER), and progesterone receptor (PR), which are all PBML markers. The patient was followed-up without any further treatment. After 8 months of follow-up, CT scan revealed an increased number of nodules. This is unique case because of the recurrence of uterine fibroids, which means that the patient is susceptible to it. Our report may give a new insight to the relationship between the susceptibility of uterine fibroids and the onset and progression of PBML.
Expression of Helper T Cell Type 17 and CD4+ CD25+ Tregs in AMA-M2 Positive PBC Patients
Authors: Cai Tingting , Yu Yang , Liu Xiuzhong , Chen Zhanliang , Duan Lin
Published: September 2022

Objective: To investigate the expression and impact of helper T cell type 17 and CD4+ CD25+ regulatory T (Treg) cells in anti-mitochondrial M2 antibody (AMA-M2) positive primary biliary cholangitis (PBC) patients. Methods: Thirty PBC patients with positive AMA (M2 type) (antibody titer above 1:320) by indirect immunofluorescence assay under the Affiliated Hospital of Hebei University from November 2021 to August 2022 were selected as the experimental group, while 30 healthy individuals were selected as controls. The subjects were observed and analyzed for AFP-L3 and immunoglobulin expression. Results: The levels of Thl7, Treg, Thl7/Treg, interleukin (IL)-17A, IL-2, IL-10, and transforming growth factor (TGF)-?1 cytokines of the experimental group were 2.61 ± 0.48, 1.15 ± 0.54, 2.41 ± 0.47, 310.94 ± 21.14, 276.36 ± 36.12, 317.89 ± 28.97, and 197.48 ± 31.04, respectively, while those of the control group were 1.14 ± 0.58, 0.88 ± 0.29, 1.47 ± 0.25, 9.69 ± 1.26, 57.69 ± 2.45, 154.01 ± 19.87, and 514.36 ± 36.12, respectively, wherein P < 0.05; the CD4+, CD8+, and CD4+/CD8+ of the experimental group were 39.48 ± 4.19, 20.12 ± 4.41, and 1.76 ± 0.14, respectively, while those of the control group were 35.78 ± 4.21, 22.01 ± 4.16, and 1.51 ± 0.13, respectively, wherein P < 0.05. Conclusion: In patients with PBC, there is a significant imbalance in Thl7/Treg cells. Il-17A, IL-2, IL-10, and TGF- ?1 cytokines play important roles in the differentiation and functional expression of both Thl7 and Treg cells.
Women and National Sport Governance: a European Approach interviews guide
Authors: Esteban Salvador María Luisa , Fernandes Emilia , Di Cimbrini Tiziana , Güngör Göksu Gonca , Jones Rachael
Published: September 2022

This interview guide presents a set of 52 interviews conducted among women directors of the boards of directors of National Sport Federations (NSFs) of five European countries: Italy, Portugal, Spain, Turkey and United Kingdom. These interviews were recorded in video and carried out between March 2019 and June 2022. The interviews guide is an output of the Erasmus+ project entitled "corporate governance in sports organizations: a gendered approach (GESPORT project)", funded by the European Commission. The aim of this project's output is to increase visibility and voice of women president, vice-president and other female members of the boards of NSFs in the order to gain the most comprehensive sensibility towards the necessity of gender equality in decision-making in sports organizations and to improve corporate governance practices in this area. Therefore, with this book, the GESPORT project aims to share the different experience feelings and thinking of these women about their roles on the boards, gender discrimination and equality and policies and measures to promote gender inclusion.
Analysis of gender equality policies on the boards of directors of national sports federations: an exploratory analysis: survey report
Authors: Esteban Salvador María Luisa , Güngör Göksu Gonca , Fernandes Emilia , Di Cimbrini Tiziana , Jones Rachael
Published: September 2022

This study analyses the gender equality policies on the national sports federation (NSFs) boards in five European countries: Italy, Portugal, Spain,Turkey and the United Kingdom. It aims to identify the nature of gender relations inside the NSFs and the gender policies adopted by the governing sports boards related to gender diversity. Therefore, an online questionnaire, including 41 questions some of which were inspired by the four gender di-mensions according to the model of Connell (2002) -production relations, power relations, emotional relations, and symbolic dimensions -were applied to the members of all sports boards in the NSFs between May 2021 and Mars 2022. The questionnaire comprised a set of questions about gender policies adopted by the NSF and a final question about the effects of the Covid-19 pandemic on gender discrimination. The descriptive analysis of data showed an increased awareness of gender issues among the directors of the NSFs. Most of them recognized the relevance of gender and diversity policies and the need to implement in their organizations. Namely in what concerns to bring women to the sports boards. However, most of them also considered that women directors continue to be less influential than their male colleagues in all management sectors of the board, which continue to be perceived as segregated by gender.
Información contable y el riesgo financiero - riesgo del accionista enfocado a empresas mineras peruanas
Authors: Orellano-Antúnez Juan C.
Published: September 2022

Objetivo: Identificar las principales investigaciones sobre información contable y riesgo financiero en la base de datos SCOPUS y realizar un análisis de las características de las publicaciones, así como del contenido de estas. Método: Consiste en hacer una revisión sistemática de la literatura de los últimos cinco años siguiendo criterios de inclusión y exclusión con el uso de operadores boléanos para mejor proceder. Resultados: Se identificaron 22 artículos, ninguno de ellos con estudios en Sudamérica y dos de los artículos tienen más del 50% de las citas. Sobre el contenido, todas contienen la información contable como una variable y en la variable de riesgo financiero no se encuentran directamente, aunque, en forma indirecta prácticamente se cubren todas las subclasificaciones de riesgo financiero. Otro tema que también se halló es que hay conceptos nuevos, para nosotros, como son el OPM3 y CFEBIT vinculándolos con la información contable y el riesgo financiero.  También se plantea un concepto que consideramos novedoso sobre el objeto de estudio de la contabilidad fortaleciendo el concepto de información contable pero con un mayor alcance llegando incluso a la información de las personas naturales. Conclusiones: El riesgo operativo es el concepto de riesgo financiero más relacionado con la información contable, no hay investigaciones en el ámbito peruano por lo que se recomiendan ver la posibilidad de adaptar las investigaciones encontradas para la presente investigación a la realidad de las empresas peruanas. Finalmente se dejan algunas recomendaciones de temas que consideramos interesantes a ser investigados.
Writing Doctoral Dissertation Literature Review: Identifying the Prerequisites, Corequisites, and the Iterative Process for Writing the Literature
Authors: Ali Azad , Pandya Shardul , C VARMA UMESH
Published: September 2022

Aim/Purpose: Identify the prerequisites, the corequisites, and the iteration processes in organizing and writing the literature review chapter of doctoral dissertations.

Background: Writing the literature review chapter of doctoral dissertations presents unique challenges. Students waste a lot of time identifying material to write, and the experience is generally that of frustration and time delay.

Methodology: This paper reviews literature to identify levels of information helpful for writing the literature review chapter: prerequisites, corequisites, and iteration process.

Contribution: The contribution of this paper is different than others that have been writ-ten about the literature review. The intended audiences for this paper are mentors, advisors, or academies that supervise students in writing their doctoral dissertations. This paper introduces the writing of the literature review by organizing the suggestions into groups of topics more familiar to academies than in other fields. The concepts of prerequisites, corequisites, and iteration are very familiar to educators; they often use them in their courses. The academic curriculums are built on such concepts. Thus, grouping the discussion into these terms familiar to mentors, advisors, or doctoral dissertations supervisors will put the findings into a more helpful focus for educators that supervise students in writing the literature review chapter.

Findings: Writing a doctoral dissertation literature review is long and complicated be-cause some students delve into the writing without much preparation. Identifying what is helpful before and during the writing and being mindful of the repetitive steps helps guide the students through the writing of the literature review chapter of doctoral dissertations.

Recommendations for Practitioners: Before delving into the writing of the literature review, it will be helpful to identify the prerequisites, the corequisites, and the iteration process that goes into the writing literature review.

Recommendations for Researchers: Writing the literature review chapter in doctoral dissertations remains challenging. More research would be helpful that focuses on the late writing stages. The suggestions we made in this paper could form a solid start for future research in this topic.

Impact on Society: The research findings will help doctoral mentors/advisors guide students in completing the chapter on literature review.
The analysis of annual and seasonal surface air temperature trends of southern and southeastern Bosnia and Herzegovina from 1961 to 2017
Authors: Bačević Nikola R. , Milentijević Nikola , Valjarević Aleksandar , Nikolić Milena , Stevanović Vladica , Kićović Dušan , Radaković Milica G. , Papić Dragan , Marković Slobodan B.
Published: September 2022

In some areas of the world, regional climate change is in good agreement with global climate change. This study brings new information about what defines climate change in the contact area of Adriatic Sea and Southeastern Europe, and conclusions are based on trend analysis of annual and seasonal temperatures in the southern and southeastern parts of Bosnia and Herzegovina. Trend analysis was applied on mean annual surface air temperatures, mean maximum temperatures, and mean minimum temperatures of all four seasons. This study used 4 meteorological stations: Livno, Bileća, Mostar, and Ivan Sedlo for 56 years. The main statistical method is the Mann-Kendall test. The total number of analysis is 48. A statistically significant positive trend was determined in 36 analysis, while in the rest of the tests this was not the case. The highest amount of temperature increase is present in the mean maximum summer air temperatures in Livno and Ivan Sedlo. Mean minimum autumn air temperatures had the smallest increase. Negative trend is present in the mean autumn surface air temperatures and mean maximum autumn temperatures. Using a geographical information system resulted in visualizing regional differences in the spatial distribution of isotherms. The study area has combined the influence of orography and maritime effects of the Adriatic Sea. Having in mind these results, the growing temperature has been recognized as a problem which needs more attention in Bosnia and Herzegovina. Unfortunately, official documents which propose economic adaptation on climate change in this country are not at a satisfactory level.
Contribution of Pesantren Miftahul Ula Nganjuk in Community-Based Education Development
Authors: Muh Barid Nizarudin Wajdi  , Masrifatin Yuni , Arifin Syamsul , Haris Abdul , Hady M. Samsul
Published: September 2022

Pondok Pesantren or Islamic Boarding School has become a sub-culture of the Indonesian people, assimilated with the community. Islamic boarding school students and alumni have long participated in community activities. This article aims to explore the role of Miftahul Ula Islamic Boarding School in community development through education. This research was conducted using the ABCD approach. The results showed that the Miftahul Ula Islamic Boarding School could develop the community through education by building formal and non-formal institutions that were recognized by the government, so that the surrounding community could fulfill their needs, especially in the field of education.
Study on the Duration of High Jump Approach in Junior Female Athletes
Authors: Balaban Aura , Rață Gloria , Georgescu Andreea , Rață Bogdan Constantin
Published: September 2022

The study aims to highlight the running time and the number of steps in the high jump at the National Athletics Championships in the category of Juniors I and II, held in the "Lia Manoliu" Athletics Hall in Bucharest, in the 2020 indoor competitive season. To the research six girls, 16-17 years old, participated. In the two competitions, the running time on the elk and the number of steps were recorded for each trial. The analysis of the data revealed differences in terms of the time to complete the moose, but also a constancy in the 6 jumpers. Differences were found between the number of steps taken by the elk and the maximum performance achieved by each jumper, a good Pearson correlation value calculated for the number of steps and the mean time recorded for running the elk (withvalues of .998 and .986), which confirms the research hypothesis.
ACE Döngüsüne Dayalı Öğrenme Ortamı Hakkında Öğrenci Görüşleri
Authors: ÖZDEMİR Ferhat , ASLANER Recep
Published: September 2022

Bu çalışmada APOS teorisi temelli pedogolojik bir yaklaşım aynı zamanda yapılandırmacı felsefeye dayalı öğrenme ortamlarından biri olan ACE döngüsüne dayalı öğrenme ortamı hakkında öğrenci görüşlerini incelemek amaçlanmıştır. Çalışmanın amacı doğrultusunda nitel araştırma desenlerden biri olan durum çalışması kullanılmıştır. Ölçüt örnekleme yöntemine göre 8 katılımcı belirlenmiştir. Veri toplama aracı olarak odak grup görüşmesi kullanılmıştır. Toplanan veriler içerik analizine tabi tutulmuştur. Son olarak araştırmacılar arası uyuma bakılmıştır. Katılımcıların, ACE döngüsüne dayalı öğrenme ortamına yönelik düşünceleri incelendiğinde; her soruya yönelik farklı kodların ve bu kodların birleşiminde farklı kategorilerin ortaya çıktığı görülmüştür. Bu araştırmacının sonucunda öğrencilerin ACE döngüsüne dayalı öğrenme ortamlarına yönelik olumlu düşüncelere sahip oldukları görülmüştür. Bu çalışmadan elde edilen sonuçlar dikkate alınarak bu öğrenme ortamına yönelik farklı kademelerde benzer araştırmalar yapılabilir. Ayrıca matematik ve diğer derslerde bu döngüye dayalı öğrenme ortamlarında dersler yürütülebilir.
Pengaruh Ukuran Partikel Mocaf pada Karakteristik Fisik Tepung
Authors: Sulistiadi Slamet , Lestari Hanis Adilla
Published: September 2022

Ukuran partikel pada tepung MOCAF sangat dibutuhkan untuk pengembangan produk dan menyelesaikan permasalahan dalam proses produksi. Penelitian ini mengkaji pengaruh ukuran partikel terhadap karakteristik fisik tepung MOCAF seperti dentitas gembur, densitas padat, swelling index dan dispersibility tepung. Tujuan penelitian adalah mengetahui pengaruh variasi ukuran partikel MOCAF mesh 60, mesh 80, dan mesh 100 terhadap sifat fisik dentitas gembur, densitas padat, swelling index, dan dispersibility. Tahapan penelitian yang dilakukan, yaitu pembuatan starter MOCAF, pembuatan MOCAF, pengayakan MOCAF, analisis karakteristik fisik, dan analisis statistik. Hasil penelitian menunjukkan bahwa ukuran partikel MOCAF berpengaruh nyata terhadap densitas gembur, densitas padat, swelling index, dan dispersibility. Nilai densitas gembur berkisar 0,30-0,44 kg/L, nilai densitas padat berkisar 0,38-0,58 kg/L, swelling index berkisar 1-1,25, dan nilai dispersibility berkisar 0,4-0,73.
Pengembangan Sistem Pendeteksi Mutu Buah Tomat Cherry Berdasarkan Warna Menggunakan Sensor Optis TCS230
Authors: Subrata I Dewa Made , Ramadhan Achmad Zurhafidz , Sutejo Agus
Published: September 2022

Tomat cherry adalah salah satu jenis tanaman yang kematangan buahnya mengalami perubahan warna dari warna hijau menjadi merah. Buah tomat cherry sangat digemari di kalangan masyarakat karena rasanya manis keasaman. Mutu buah tomat cherry ditentukan berdasarkan warna dan umumnya dipasarkan dalam tiga kelas mutu, yaitu tomat hijau, oranye, dan merah. Penelitian ini bertujuan untuk mengembangkan sistem pendeteksi mutu buah tomat cherry berdasarkan warna menggunakan sensor optis TCS230 dan mikrokontroler Arduino Mega 2560 sebagai pengolah informasi. Sistem pendeteksian tomat cherry dirancang menggunakan sabuk conveyor yang dipasangi sensor optis TCS230. Pengujian kecepatan conveyor optimum dilakukan dengan menggerakkan tomat yang diletakkan di atas conveyor mulai kecepatan 0 cm/s sampai 60 cm/s. Buah tomat cherry dengan tiga tingkat mutu selanjutnya diletakkan di atas conveyor dengan urutan secara acak pada jarak perlakuan antar tomat sebesar 3 cm, 5 cm, 7 cm dan dengan kecepatan conveyor optimum hasil pengujian tahapan sebelumnya.  Hasil pengujian menunjukkan kecepatan pergerakan tomat optimum pada saat pendeteksian adalah 30 cm/s dengan jarak antar tomat sebesar 7 cm. Persentase keberhasilan perdeteksian mutu untuk tomat warna merah, oranye, dan hijau secara berurutan adalah 89%, 98%, dan 100%. Data pengujian tersebut menghasilkan kesimpulan bahwa sistem pendeteksi mutu yang dikembangkan sudah bekerja dengan baik walaupun ketelitian pedeteksian mutunya masih perlu ditingkatkan untuk tomat merah dan oranye.
Um Prócer da Independência: Frei Sampaio
Authors: Titton Gentil Avelino
Published: September 2022

Neste ano do sesquicentenário de nossa emancipação política, muito se fala e muito se escreve sobre pessoas e acontecimentos relacionados com a Independência do Brasil. Boa parte do que atinge nossos olhos e nossos ouvidos consiste em propaganda tendente a despertar o entusiasmo do povo brasileiro para o estado de coisas atual. Mas há também estudiosos que aproveitaram ou estão aproveitando o ensejo para levarem a cabo pesquisas de fôlego, no sentido de se chegar a uma compreensão mais profunda de nossa história pátria...
Geotechnical Properties of Some Clay Deposits in Some Parts of Southwestern Nigeria in Relation to Its Engineering Implications on Constructions
Authors: Andre-Obayanju O. , Edegbai A. J. , Imarhiagbe O. J.
Published: September 2022

Twenty-two clay samples from Oduna, Okada, and Etsako clay deposits in Southwestern Nigeria were subjected to Geotechnical analysis to evaluate their impact on engineering, especially on construction. The results revealed that the clays deposits were majorly fine-grained texture (<60%), with Plasticity ranging from 23% to 121%, Liquid Limit (25%~205%) having plasticity of medium to very high with a specific gravity from 1.93 to 2.58. Using the American association of state highway and ransportation office (AASHTO) and Unified system classification scheme (USCS), the samples fell within A-7-6 (clayey soil) indicating a subgrade that is fair to poor and within the CL-CH category of fine-grained soil with medium to very high plasticity. Compaction having maximum dry density (MDD) to optimum moisture content (OMC) ranges from 0.94 g/cm3 ~1.68 g/cm3 to 11.9%~44.5%, Triaxial result with cohesion between 0.33~35 and shear strength from 44~120 and California bearing ratio for unsoaked bottom 7.52~40, top 4.82~39.18 and soaked bottom 2.89~30.41, top 4.21~33.53. The geotechnical properties of the clay deposits do not meet the standard requirement hence the implication in engineering might be susceptibility to construction failures.
Bone degradation among elderly women in Douala, Cameroon: Biochemical markers, prevalence and associated factors
Authors: Véronique Ntsogo Ebogo  , Jean Pierre Nda Mefo’o  , Loick P. Kojom Foko  , Noel D. Mbango Ngoh  , Caroline Mene Miaffo  , Caroline Mene Miaffo
Published: September 2022

Bone degradation increases in women over 60 years old. It is an emerging public health problem, especially in Cameroon. In this context, this study was designed to evaluate biochemical parameters which can be helpful to early evaluation of bone degradation. A cross-sectional study was conducted from November 2018 to July 2019 at two hospitals in Douala. A pre-tested and structured questionnaire was used to collect data of each participant. Blood samples were collected to determine serum levels of calcium, phosphorus, and PTH (Parathyroid hormone). Data were analysed using SPSS v16 and GraphPad v5.03 software. A total of 92 women mostly aged 60-65 years old with a mean age of 69 ± 8 years old were finally included. No statistically significant association between age and biochemical markers was found, even though calcium and PTH levels were higher in women over 75 years old (94.6 ± 8.4 mg/L and 47.6 ± 38.2 pg/mL, respectively). A positive correlation was found between PTH and phosphorus (p = 0.02). The prevalence of women at risk of bone degradation was 15.2% (95% CI 9.4-24.2%). Sensibility of calcemia to identify women at risk of bone degradation was 14.3% (95% CI 4.0 – 39.9%). Advanced age (OR = 1.23, 95% CI 1.02 – 9.15, p = 0.002) and history of fracture (OR = 1.83, 95% CI 1.01 – 15.06, p = 0.0001) were risk factors of bone degradation. This study outlined that bone degradation is present at significant prevalence among elderly women. PTH could be a potentially helpful biomarker for early detection of elderly women at risk of bone degradation.
SPATIO-TEMPORAL ANALYSIS OF RUPIAH LOANS PROVIDED BY COMMERCIAL BANKS AND RURAL BANKS
Authors: Susila Muktar Redy
Published: September 2022

According to SEKI data in 2020, DKI Jakarta is the province that has the highest average monthly value of rupiah loans provided by commercial banks and rural banks. Many factors can affect the size of the value. The amount of rupiah loans provided by commercial banks and rural banks in the previous months can affect the current value. The geographical conditions of an area can have an impact on the surrounding area. Likewise, the number of rupiah loans in DKI Jakarta Province is suspected of having mutual influence with surrounding provinces. The provinces that are directly adjacent to DKI Jakarta are Banten Province and West Java Province. The purpose of this study is to conduct spatio-temporal analysis of the amount of loans provided by commercial banks and rural banks. The data used is the monthly amount of rupiah loans provided by commercial banks and rural banks in DKI Jakarta, West Java, and Banten Provinces in a time period between January 2012 to July 2021. The GSTAR method has been used to analyze the spatio-temporal relationship. The GSTAR model formed is GSTAR(3,6,12) with differencing order of 1. Based on the model formed, it was concluded that the amount of loans provided by commercial banks and rural banks in the three provinces is related to each other spatially and temporally. The RMSE value for each of the models formed is 1.871 for Banten Province, 13.701 for DKI Jakarta, and 2.919 for West Java Province.
ANALYSIS OF COVID-19 FOMITE TRANSMISSION MODEL WITH DISINFECTANT SPRAY
Authors: Sabran La Ode , Rianjaya Ilham Dangu , Hasibuan Lilis Harianti , Nashar La Ode
Published: September 2022

The SARS-CoV-2 virus causes the infectious disease COVID-19. This virus can be transmitted via the fomite mode of transmission (the surface of objects contaminated with the virus). It is possible to prevent the spread of COVID-19 by spraying disinfectant on infected objects. This research aims to develop a mathematical model of COVID-19 fomite transmission with disinfectant spraying intervention. The model was analyzed by determining its stability and critical point. A Ro analysis was conducted to determine the impact of disinfectant spraying on the eradication or spread of the disease. The results demonstrated that, in the absence of disinfectant spraying, the number of infected humans increased rapidly and abruptly. Based on the findings of sensitivity analysis, it is known that spraying disinfectants is highly effective at reducing Ro, thereby reducing the number of infected humans and eradicating the disease from the population. In this study, the recommended measure to prevent the spread of COVID-19 is the periodic application of disinfectant in accordance with medical regulations.
MULTIPLE STRATEGIES AS OPTIMAL CONTROL OF A COVID-19 DISEASE WITH QUARANTINE AND USING HEALTH MASKS
Authors: Hakim Lukman
Published: September 2022

This research develops an optimal control as an effort to push down the widely of Covid-19 with a mathematical model. Where, the problem of optimal control is conducted by adding three control variables, i.e an effort to avoid direct contact between the susceptible populations without masks and the infected populations without masks, and the thoughtfulness of a mask-wearing policy. The primary goal of optimal control is to minimize the infected populations without and with masks, and minimize the cost of weight control. Furthermore, if it applies Pontryagin's principle and discovers the Hamiltonian function, then optimal control conditions for the COVID-19 approximation are determined. Finally, as an addition to the model analysis results, numerical simulations are conducted to represent the solutions behavior of each subpopulation before and after the control was designed.
ANALYSIS OF THE VACCINATION'S IMPACT ON THE INCREASE IN COVID-19’S DAILY NEW AND RECOVERED CASES USING THE VECTOR AUTOREGRESSIVE (VAR) MODEL (CASE STUDY: WEST KALIMANTAN)
Authors: Yundari Yundari , Huda Nur'ainul Miftahul
Published: September 2022

One of the efforts to suppress the increasing number of COVID-19 cases is the government's provision of a COVID-19 vaccine. This study examines the effect of the number of people who have been vaccinated, the first dose of vaccine, on the addition of new cases and cured cases. The three variables were analysed simultaneously using the help of the Vector Autoregressive (VAR) model. The data is on the number of new, recovered cases and people vaccinated per day from January 13 to December 30, 2021, in West Kalimantan Province. The main steps in this study are order identification, parameter estimation, and interpretation of the results. In this study, the order selection of the VAR model is limited to a maximum of the fourth order. Parameter estimation uses the Ordinary Least Square (OLS) method from several possible orders. Furthermore, the model selection is based on the smallest AIC and BIC values. The result is that the second-order VAR model has the smallest AIC and BIC values, so this model is said to be the best model. The interpretation of the equation obtained is that 74.1% of the factors adding new cases, the number of people being vaccinated, and the addition of cured cases at one and two last times affect the addition of new cases on that day. Meanwhile, the addition of new cases today was only influenced by 42.2% by new cases, the number of people being vaccinated, and the addition of recovered cases in the previous one and two days.
CALCULATION OF CREDITED INTEREST RATE WITH INVESTMENT YEAR METHOD AND PORTFOLIO METHOD
Authors: Aryento Jevilia , Kusnadi Felivia , Lesmono Dharma
Published: September 2022

The rate of return on investment for unit-linked insurance products in Indonesia is still volatile and depends on the investment instruments performance. However, the net return on investment that is given to policyholders is projected at the beginning of the year and is used as a benchmark for choosing the right investment instrument, referred to as the credited interest rate. Interest rates movements affect the yield of the credited interest rate. Therefore, the credited interest rate calculation requires appropriate methods to reduce the risk of loss, which are the Investment Year Method and the Portfolio Method. Research shows that the Investment Year Method is more appropriate in unstable interest rate condition, whereas the Portfolio Method is better utilized in a stabilized environment. In addition, this research also shows the strategy to manage investment instruments with asset rollover to suit the fluctuating credited interest rate.
THE BAYESIAN SEM APPROACH ON RELIGIOUS TOURISM AND SME'S ENTREPRENEURIAL OPPORTUNITY INTERRELATION IN RURAL AREA
Authors: Wulandari Frilianda , Devianto Dodi , Yanuar Ferra
Published: September 2022

Economics, social and culture are interrelated fields in developing a country. The social and cultural conditions that grow in an area affect how the economy develops in that area and its surrounding. This study analyzed a causal relationship from 60 nascent entrepreneurs at rural area of religious tourism with Bayesian SEM to handle a small amount of data. Based on the results of the analysis, it was found that entrepreneurial motivation  and cultural motivation had a significant effect on rural religious tourism. The latent variable of rural religious tourism and entrepreneurial motivation have a significant effect on SME's entrepreneurial opportunity. The entrepreneurial motivation variable has a correlation with the cultural motivation variable.This characteristics has established the Minangkabau heritage of rural area described on its strong religious tourism aspect into SME's entrepreneurial challenge of nascent entrepreneurs.
TAGUCHI METHOD APPLIED FOR THE INVESTIGATION OF CORROSION LEVEL ON METAL INERT GAS WELDING OF MILD STEEL
Authors: Fatchurrohman Nanang , Chin Low Tze , Na’am Jufriadif
Published: September 2022

Mild steel has a wide range of uses such as in the construction field, automotive field, machinery industry, cookware, and pipeline. Metal Inert Gas (MIG) welding act as an assembly method of mild steel. Corrosion level is a common problem that occurs in MIG welding on mild steel. In this study, the suitable welding parameters such as voltage, number of passes, and method of welding were chosen in the experimental testing and the experimental testing was planned by using the Design of Experiment (DoE) as part of Taguchi method. The welded mild steel specimens were evaluated using a corrosion test. The data analysis was done by using Taguchi method. For the parameter to be the optimum welding parameter, the corrosion level was as low as possible. In this case, the S/N ratio smaller is better common interest is chosen. By using the Minitab 18 software, the S/N ratio was calculated. Hence from the result, the optimum parameter is 9V voltage, three passes and the welding method was circle push.
AN ORDINAL LOGISTIC REGRESSION MODEL FOR ANALYZING RISK ZONE STATUS OF COVID-19 SPREAD
Authors: Dewi Tessya Mutiara , Kusumawati Rosita
Published: September 2022

Coronavirus disease 2019 (COVID-19) is a new type of virus that has been found to have infected human since it first appeared in Wuhan, China, in December 2019. This study aims to determine the factors that influence the risk zone status of COVID-19 spread in Indonesia using ordinal logistic regression. The ordinal logistic regression model in this study uses proportional odds model because the researcher assumes probability of predictor variable coefficients is the same for each respond category. The response variable is secondary data from the COVID-19 Handling Task Force, namely the status of the risk zone for the spread of COVID-19 who has 4 categorical levels, namely high, medium, low, and no cases. Predictor variables are elderly population, COVID-19 referral hospital, diabetes mellitus, hypertension, hand washing behavior, male population, and smoking habits. Based on results of the analysis, variables that significantly affect the risk zone status of COVID-19 spread in Indonesia are elderly population and diabetes mellitus. The Odds proportional figure shows that the higher percentage of the elderly population, the higher chance of an area with high-risk zone status (OR=1.171). The higher percentage of comorbidities diabetes mellitus, the higher chance of an area with high-risk zone status (OR=1.569).
MULTILEVEL NON-LINIER REGRESSION FOR REPEATED MEASURMENT DATA AS STUDY OF PEANUT GROWTH
Authors: Purwanto Arie , Aiman Umul
Published: September 2022

Peanut is one of the most important legume commodities in Indonesia. In its implementation, a lot of research has been done related to this plant. However, in studies conducted by growth models, it is very rarely studied. Therefore, researchers are interested in modeling the growth of peanuts. One of the models that can be used is a multilevel regression model for the case of repeated measurement data. Multilevel regression was chosen because it is considered to provide more information than other regression models. On the other hand, the nonlinear model was chosen based on the tendency of the initial plot of the data obtained. The research method used is a case study in the study of peanut growth. This study aims to build the best model based on the tested model. The Restricted Estimator Maximum Likelihood (REML) parameter estimation method was chosen because it is considered to have unbiased parameter estimates. The best model is based on the lowest Akaike Information Criterion (AIC) generated from a predetermined model. The results obtained indicate that the multilevel parabolic regression model is the model with the best AIC size. In addition, it was found that there was an Interclass Correlation (ICC) of 81.19% which indicated a difference in variability between levels.
FUZZY LOGIC APPLICATION ON EMPLOYEE ACHIEVEMENT ASSESSMENT (CASE STUDY: EDUCATION QUALITY ASSURANCE INSTITUTE OF MALUKU PROVINCE)
Authors: Nurhidayah Nurhidayah , Lesnussa Yopi Andry , Leleury Zeth Arthur
Published: September 2022

Employee achievement assessment in an agency is essential for agency planning and evaluation. Therefore, the Employee achievement assessment must be carried out with a good and appropriate method so that it can guarantee fair and satisfactory treatment for the assessed employees. The value of employee achievement is determined by 60% of the target value of employee achievement and 40% of the average employee behavior value consisting of service orientation, integrity, commitment, discipline, and cooperation. The writing and discussion of this research are about the application of the fuzzy logic Mamdani method using MATLAB software in determining the work performance value of the Maluku Education Quality Assurance Institution (LPMP) employees based on the target value of employee achievement and behavioral values. The Mamdani method’s calculation level of truth is 94%, so it can be concluded that the fuzzy logic of the Mamdani method can be used to measure the performance value of employees.
ON COMPUTATIONAL BAYESIAN ORDINAL LOGISTIC REGRESSION LINK FUNCTION IN CASES OF CERVICAL CANCER IN TUBAN
Authors: Mahmudah Nur , Anggraini Fetrika
Published: September 2022

Cervical cancer is the most common cancer that causes death in women. This cancer is mainly caused by Human Papilloma Virus (HPV). It is estimated that 52 million of Indonesian women are at risk of having cancer, and 36% of female cancer patients suffer from cervical cancer. This type of cancer cannot be diagnosed immediately as there is several years of pre-malignancy phase; thus, early detection or screening is needed to prevent it from turning into malignant. Pap test as a screening program can detect cancer, precancer, and normal condition. To understand the predicting factors of the test results, a comprehensive mathematical modelling was created using the link function of Bayesian Ordinal Logistic Regression. This study observed several possible factors that may affect Pap test results in Tuban regency, namely Age (X1), Education (X2), Childbirth Experience (X3), Use of Contraceptives (X4), Menstrual Cycle (X5), Age of First Menstruation (X6), History of Miscarriage (X7), Anemia (X8) and Number of Sexual Partners (X9) . The outcomes indicated that the predicting factors of Pap cervical cancer results are Age (X1), Education (X2), Childbirth Experience (X3), Use of Contraceptives (X4), Menstrual Cycle (X5), and Anemia (X8). In this model, there is an inexplainable error dependency as indicated by the varied constance values of alpha.
COMPARISON OF ARIMA AND GARMA'S PERFORMANCE ON DATA ON POSITIVE COVID-19 CASES IN INDONESIA
Authors: Sofro A'yunin , Khikmah Khusnia Nurul
Published: September 2022

The development of methods in statistics, one of which is used for prediction, is overgrowing. So it requires further analysis related to the goodness of the method. One of the comparisons made to the goodness of this model can be seen by applying it to actual cases around us. The real case still being faced by people worldwide, including in Indonesia, is Covid-19. Therefore, research comparing the autoregressive integrated moving average (ARIMA) and the Gegenbauer autoregressive moving average (GARMA) method in positive confirmed cases of Covid-19 in Indonesia is essential. Based on the results of this research analysis, it was found that the best model with the Aikake's Information Criterion measure of goodness that was used to predict positive confirmed cases of Covid-19 in Indonesia was the Gegenbauer autoregressive moving average (GARMA) model.
PERFORMANCE COMPARISON OF GRADIENT-BASED CONVOLUTIONAL NEURAL NETWORK OPTIMIZERS FOR FACIAL EXPRESSION RECOGNITION
Authors: Nurdiati Sri , Najib Mohamad Khoirun , Bukhari Fahren , Revina Refi , Salsabila Fitra Nuvus
Published: September 2022

A convolutional neural network (CNN) is one of the machine learning models that achieve excellent success in recognizing human facial expressions. Technological developments have given birth to many optimizers that can be used to train the CNN model. Therefore, this study focuses on implementing and comparing 14 gradient-based CNN optimizers to classify facial expressions in two datasets, namely the Advanced Computing Class 2022 (ACC22) and Extended Cohn-Kanade (CK+) datasets. The 14 optimizers are classical gradient descent, traditional momentum, Nesterov momentum, AdaGrad, AdaDelta, RMSProp, Adam, Radam, AdaMax, AMSGrad, Nadam, AdamW, OAdam, and AdaBelief. This study also provides a review of the mathematical formulas of each optimizer. Using the best default parameters of each optimizer, the CNN model is trained using the training data to minimize the cross-entropy value up to 100 epochs. The trained CNN model is measured for its accuracy performance using training and testing data. The results show that the Adam, Nadam, and AdamW optimizers provide the best performance in model training and testing in terms of minimizing cross-entropy and accuracy of the trained model. The three models produce a cross-entropy of around 0.1 at the 100th epoch with an accuracy of more than 90% on both training and testing data. Furthermore, the Adam optimizer provides the best accuracy on the testing data for the ACC22 and CK+ datasets, which are 100% and 98.64%, respectively. Therefore, the Adam optimizer is the most appropriate optimizer to be used to train the CNN model in the case of facial expression recognition.