bluuebunny/crossref_metadata_2025 huggingface dataset:
GEOLOGICAL STRUCTURE AND PETROLEUM POTENTIAL PROSPECTS OF THE KUZNETSK INDEPENDENT PETROLEUM REGION
Authors:   Sirerian Research Institute of Geology, Geophysics and Mineral Resources, Novosibirsk, Russia, Zaytseva Yu. L. , Sapyanik V. V. ,   Sirerian Research Institute of Geology, Geophysics and Mineral Resources, Novosibirsk, Russia
Published: December 2022

The resource base potential and geological prospects of the Paleozoic petroleum plays of the Kuznetsk Independent Petroleum Region for raw hydrocarbons are considered. Prospects of the Devonian-Lower Carboniferous play developed on the Krapivinskaya and Gorno-Shorskaya monoclines are determined on the ground of analysis of the modern geological and geophysical study of the Kuznetsk Trough, systematization and generalization of oil and gas geological materials obtained during well drilling. The estimation of inferred oil and gas resources of structures located within their limits is given. In addition to the structures considered separately, the estimation of forecast hydrocarbon resources of the Kuznetsk Trough is given by a volumestatistic method based on the involvement into the assessment of relatively well-studied sedimentation basins of the world (SB) with a known value of TIR HCs and other parameters included in the model and genetically influencing the value of TIR HCs.
GEOECOLOGICAL CONDITIONS IN THE AREA OF THE DEPUTATSKOYE TIN ORE DEPOSIT (NORTH-EASTERN YAKUTIA)
Authors:   Permafrost Institute SB RAS, Yakutsk, Russia, Shats M. M. , Makarov V. N. ,   Permafrost Institute SB RAS, Yakutsk, Russia
Published: December 2022

The article highlights the state of the tin mining indus​try in Yakutia and in the largest tin deposit – Deputatskoye, characterizes natural conditions of the development territory, their extremity in climatic, geological, geomorphological and geocryological relations. The scale and specificity of consequences of mine development, nature, originality of the impact on individual components of the natural environment are shown. The opinion is expressed about the inexpediency of restrictions in further mine development provided that a system of nature protection and remedial measures is created and implemented to maintain an effective tin mining with minimal damage for northern geosystems. This will contribute to the revival of the tin mining industry of the republic.
Assessing performance of Mawar Emas as a mosque-based Islamic financing program
Authors: Supiandi Supiandi , Pramuja Risky Angga , Yuli Sri Budi Cantika , Yakub Muhammad , El Badriati Baiq
Published: December 2022

Purpose — This research aims to assess the performance of the Mawar Emas program since its inception.Method — This descriptive qualitative research involves several types of respondents such as mosque administrators, Chairperson of the Masyarakat Ekonomi Syariah (MES), MES Secretary, and beneficiaries. Data obtained through in-depth interviews were processed using reduction, display, triangulation and conclusion techniques.Result — Using primary and secondary data and qualitative research techniques, the authors found that the Mawar Emas initiative supported 32 mosques in West Nusa Tenggara, totaling 1,194 prospective debtors. In terms of funding, the Mawar Emas program has a yearly budget of Rp. 1,275,000,000. However, these funds have not been used to their full potential since the program's inception. There was a decrease in funding and absorption of funds in the program's second year. Several aspects of this program must be evaluated, including increased funding, defaults, training delivery, outdated data, and the presence of profit-oriented institutions.Contribution — This study contributes by discussing performance of a mosque-based Islamic financing program to reduce dependency on conventional moneylenders.
Local treatment of breast cancer brain metastases
Authors:   Department of Gynecologic Oncology, University Hospital Center Zagreb, Zagreb, Croatia, Magličić Ana , Podolski Paula , Šarić Nera , Soče Majana , Baučić Maja , Vušković Sanja , Mlinarić-Koprivanac Tena , Šimović Dora , Đelalija Petra , Zrilić Ivan , Bašić-Koretić Martina
Published: December 2022

Breast cancer, along with lung cancer and melanoma, is one of the most common origins of central nervous system metastases. Due to improvement of systemic therapy options for primary disease and consequential prolonged survival, treatment of brain metastasis (BM) is presenting an evolving challenge. While new systemic therapy approaches for breast cancer brain metastasis are focusing on overcoming the blood brain and blood tumor barrier, as well as targeted therapies, local therapy remains the primary line of treatment. The decision of which local therapies to use, depends upon the number and volume of BM, their localization, patient’s clinical status, previously used treatments, status of extracranial disease and patient’s prognosis. In cases when an active approach, including surgery and/or radiotherapy, does not bring benefit to the patient’s quality of life or overall survival, best supportive care is recommended.
Classification of Types A and B Volcanic Earthquakes using Neural Network for Monitoring Mount Merapi Activities
Authors: Lastomo Dwi , Aji Wisnu Waskito , Jaelani Lalu Muhammad , Santoso Agus Budi , Musthofa Arif
Published: December 2022

Mount Merapi is one of the most active volcanoes in the world. Seismic activity at Mount Merapi was divided into tectonic, volcanic A and B, avalanches, and multiphase. At the volcanology and mitigation station in the area of ​​Mount Merapi, the vibrations received by the seismometer installed on the mountain were then transmitted to the station to be interpreted in the form of a seismograph. Determination of the type of earthquake at the Mount Merapi station was done manually by analyzing the shape of the wave formed. Utilizing the earthquake waveform, it could be used to determine the type of earthquake using the Nntool toolbox in Matlab. So that the determination of the type of earthquake no longer needed to be done manually. The classification process began with training the system to understand earthquake-type classes. After the system understood the earthquake data belonging to each category, the classification process could be carried out. The types of earthquakes analyzed in this research were volcanic earthquakes of types A and B. The results of these classifications were used as a determinant of the type of earthquake that occurred. The results were obtained in the form of an introduction to the types of volcanic earthquakes type A and type B which were carried out automatically with a total accuracy of 91.83%. Type A earthquake recognition accuracy was 100%, type B earthquake recognition accuracy was 84.21%, the earthquake recognition accuracy of non-A & B type was 94.44%.
Speed Controller Design using Hybrid Differential Evolution Algorithm-Particle Swarm Optimization for PSMS
Authors: Setiawan Muhammad Aldo , Setiadi Herlambang , Indrawan Rodik Wahyu , Prastio Rizki Putra
Published: December 2022

The use of engines that motorized the world based on fossil fuel sources has led to many problems, such as air pollution, energy security, global warming, and climate change. To prevent further damage reducing the application of fossil fuel as a source of the motor is crucial. Hence, utilizing an electric motor could be the solution to reduce the application of motors based on fossil fuel. Among the number of electric motors, permanent magnet synchronous motor (PSMS) is becoming more popular due to their efficiency. However, the challenge here is how to design the controller of PSMS, especially the speed controller. Hence, this paper proposed a design of a speed controller of PSMS using a PI controller. The hybrid differential evolution algorithm-particle swarm optimization (DEA-PSO) is used to optimize the PI controller for better performance. From the simulation result, it is found that the proposed method can enhance the performance of PSMS.
Comparison of PSO, DE and Hybrid DE-PSO for LFC of Wind Power Systems
Authors: Indrawan Rodik wahyu , Setiadi Herlambang , Setiawan Muhammmad Aldo , Prastio Rizki Putra
Published: December 2022

Abstract—This paper investigates the performance of particle swarm optimization (PSO), differential evolution (DE), and hybrid particle swarm optimization- differential evolution (HDEPSO) for solving load frequency control (LFC) problems. Wind power systems LFC model is used to compare the performance of PSO, DE and HPSODE for solving LFC problems. All the simulation are carried out in MATLAB/SIMULINK environment. From the simulation results, it is noticeable that by designing LFC of wind power system using HPSODE, the overshoot and settling time of the wind power system can be reduced and accelerated.
Determination of Antimicrobial Properties of Endemic Black Sakı Apple Vinegar Produced by Traditional Method Using Different Yeast Raw Materials
Authors: Yangılar Filiz , Gülhan Barış , Kılıçgün Hasan
Published: December 2022

In this study, it was aimed to determine the antibiotic effect of Black Sakı cider vinegar (homemade) produced with different yeasts against different pathogenic bacterial species (E. faecalis ATCC 29212, S. aureus ATCC 29213, S. aureus ATCC 25923, E. coli ATCC 25922, E. coli ATCC 8739, E. coli (colistin R) ATCC 19846, Klebsiella pneumoniae ATCC 700603, Salmonella enterica subsp. enterica serovar Enteritidis ATCC 13076 and Pseudomonas aeruginosa ATCC 27853), with clinical antibiotic resistance by using disc diffusion and microdilution methods. In general, it had been determined that all vinegar samples had antibacterial effect, and the most antibacterial effect against all standard strains was commercial vinegar sample (No. 7 vinegar). It was determined that vinegar sample number 1 (vinegar containing 0.3% Saccharomyces cerevisiae) was the weakest effective vinegar sample against all other standard strains except for Enterococcus faecalis ATCC 29212strain. In addition, in Escherichia coli ATCC 8739 strain, the sample number 6 was organic household vinegar, in which MIC values were obtained at 1/32 dilution, unlike the others. In conclusion, the antimicrobial effect of Black Sakı apple vinegar obtained from different yeast raw materials on various microorganisms was determined in detail. These results will form the basis of new studies and will enable studies to be conducted to investigate more bacterial species and their effects on human health by producing Black Sakı vinegar at different doses and
techniques.
Tere (Lepidium sativum L.) Tohumlarının Farklı Kurşun Konsantrasyonu Stresi Ve Vermikompost Ön Uygulamalarında Çimlenme Ve Bazı Erken Gelişim Parametrelerinin Belirlenmesi
Authors: DERE Sultan , DAŞGAN Hayriye Yıldız
Published: December 2022

Bu çalışma, Bu-Ter tere (Lepidium sativum L.) tohumlarına ön uygulama olarak ağır metal kurşunun farklı konsantrasyonları ve vermikompost uygulamasının çimlenme ve fide gelişim parametrelerine etkisi belirlenmesi amacıyla tesadüf parselleri deneme desenine göre üç tekrarlamalı olarak yürütülmüştür. Çalışma Siirt Üniversitesi Bahçe Bitkileri Bölümü Laboratuvarında gerçekleştirilmiştir. Denemede kullanılan uygulamalar 0, 500, 1000, 1500 ppm, vermikompost, 500 ppm+vermikompost, 1000 ppm+vermikompost, 1500 ppm+vermikompost olarak belirlenmiştir. Petrilere tohumlar eklenmiş ve uygulamalar yapıldıktan sonra 25±1 °C sıcaklığa ayarlanmış etüve yerleştirilmiştir. Çalışma sonunda çimlenme yüzdesi (%), ortalama çimlenme zamanı (gün), çimlenme hızı (çimlenme indeksi), vigor indeksi gibi çimlenme parametreleri ile fide boyu (cm), hipokotil çapı (cm), kök uzunluğu (cm), yaş ağırlık ve kuru ağırlık (g) parametreleri değerlendirilmiştir. Elde edilen sonuçlara göre, Pb konsantrasyonu arttıkça çimlenme yüzdesinin azaldığı belirlenmiştir. En düşük çimlenme yüzdesine 1500 ppm Pb uygulamasında %60.75 olduğu belirlenmiştir. Ortalama çimlenme süresi bakımından, vermikompost uygulamasının Pb ile birlikte uygulanmasının 500 ppm Pb ve 1500 ppm Pb uygulamasındaki ortalama çimlenme süresini düşürdüğü ancak 1000 ppm Pb uygulamasında ise negatif etki yaparak ortalama çimlenme süresini arttırdığı belirlenmiştir. Çimlenme indeksinin en düşük 1500 ppm Pb uygulamasında 9.900 olduğu görülmüştür. En yüksek çimlenme enerjisinin 93.333 ile vermikompost uygulamasında, en düşük ise 500 ppm kurşun uygulamasında 2.667 olarak belirlenmiştir. Vigor indeksi, boy uzunluğu, hipokotil çapı ve kök uzunluğunu en yüksek vermikompost uygulamasında olduğu görülmüştür. Fide yaş ve kuru ağırlığı bakımından uygulamalar arasındaki farklılığın istatistiksel olarak önemli olmadığı belirlenmiştir. Sonuç olarak Bu-Ter tere tohumunda uygulamaların belirli düzeylerde etkili olduğu ve elde edilen sonuçlar ışığında ilerde tere genotip ve çeşitleri üzerine yapılacak olan daha geniş çaplı çalışmalara referans olacağı düşünülmektedir.
LIQUEFACTION ASSESSMENT BASED ON GRAIN SIZE AND CPT ANALYSIS FOR BIROBULI AREA, SOUTH PALU
Authors: Nurlita Fitri Siti , Wahyu Pramana I Made
Published: December 2022

Birobuli is located in South Palu, which has highly vulnerable to earthquakes. One of the phenomena that usually occur after an earthquake is liquefaction which causes significant damage and loss of life. Furthermore, all the infrastructure is required to analyze the effect of external load and potential hazards. This research aims to investigate the liquefaction potential in Birobuli, South Palu. The method was divided into two categories: grain size distribution analysis and empirical formula based on CPT data. The result presented a similar trend in grain size analysis which consist of all the range in the potential to liquefaction, while the CPT result describes the same meaning. The CPT 1 result showed SF<1 between 0-5m and 9-11m, while CPT 2 had fluctuating data in ranges between 0.18-2.00 in 0-4m, SF under 2 in 6-8m and 9-11m. This study was expected to provide information for local government as disaster mitigation for Birobuli Area.
SEBARAN GEMPA UTAMA BERDASARKAN MAGNITUDO DAN KEDALAMAN DI WILAYAH MAMUJU DAN SEKITARNYA
Authors: Erlangga Wisnu , Teguh Mochamad , Mushthofa Malik , Trianggoro Saputro Imam , Setiadi Gunawan
Published: December 2022

Sulawesi is one of Indonesia's large islands with a high vulnerability to earthquakes due to its geographical location, which lies between the confluence of tectonic plates and several active faults. The earthquake events' intensity was relatively high with small to large magnitudes. One area recently hit by a large earthquake that caused material losses and casualties was found in Mamuju. Given this condition, it is essential to determine the latest seismicity mitigation in the Mamuju area and its surroundings to look at the distribution of the mainshock based on the magnitude and depth of the earthquake. Earthquakes that occur in a particular area and for a certain period can describe the concentration of earthquake activity. The earthquake data activity used in this study is to find earthquake data for the period 1960-2021, followed by a declustering process which is carried out to separate the mainshock from the aftershocks. Separating the mainshock from the aftershocks is performed using the time window and distance windows criteria. Based on the analysis, it was found that the number of mainshocks that occurred in the Mamuju region was 20.11% of the total earthquake events that occurred (5366 earthquake event data) with a dominance of moderate to large magnitude (4<M<6). Meanwhile, based on the depth of the earthquake, 54.19% of the earthquake event were shallow earthquakes (0 km < D < 60 km). This can be used as a basis for updating existing earthquake maps and for paying attention to the application of earthquake-resistant building regulations and building construction permits in the Mamuju area, considering that the vulnerability to earthquakes in this area is relatively high.
IMPLEMENTASI PENDIDIKAN KARAKTER PADA ANAK USIA DINI (studi kasus di TK Mohd Shariff)
Authors: Muzaki Ahmad , Mulyadi Mulyadi , Dewantoro Hajar
Published: December 2022

Dalam implementasinya, memang tidak dapat dipungkiri ada permasalahan dalam pelaksanaannya, guru yang terkadang direpotkan dengan tingkah laku anak yang unik, ia yang hanya ingin dimengerti dan mau belajar sesuai dengan kemauannya yang menjadikan guru harus memiliki strategi yang beragam agar beragam karakteristik anak di kelas dapat diberikan pembelajaran yang sesuai dengan karakteristiknya. Selain itu faktor orang tua yang terkadang membebankan kepada sekolah yang mengharuskan anaknya di usia tersebut harus sudah bisa membaca dll, padahal kemampuan anak berbeda yang menjadikan penghambat. Orang tua yang menyerahkan sepenuhnya proses Pendidikan anaknya  pada sekolah menjadi salah satu faktor penghambat penerapan pendidikan karakter, karena penerapan pendidikan karakter tidak dpat berhasil hanya di sekolah, harus ada sinergi antara keduanya. Orang tua juga mengeluhkan susahnya melakukan pembiasaan di rumah, karena lingkungan masyarakat yang tidak mendukung, terkadang ketika di Rumah dan di sekolah sudah berusaha menciptakan suasana yang mendukung, akan tetapi ketika anak bermain di lingkungan masyarakat, mereka mengikuti lingkungan masyarakat tersebut.
NILAI-NILAI PENDIDIKAN KARAKTER R.A KARTINI DALAM BUKU HABIS GELAP TERBITLAH TERANG
Authors: Ima Deivana , Restu Nanda , Yusuf Syaifulloh
Published: December 2022

Raden Ajeng Kartini merupakan seorang tokoh pahlawan nasional, yang terkenal dengan sebutan pelopor emansipasi wanita. Terkenal dengan karyanya yang berjudul Habis Gelap Terbitlah Terang. Tokoh yang mampu mendobrak perempuan dari pengekangan hukum yang membatasi perempuan untuk berkembang dan maju. Sebagai sosok yang berpengaruh terutama untuk keadilan perempuan, R.A Kartini memiliki nilai-nilai karakter yang patut diteladani oleh para generasi muda. Karakter R.A Kartini memiliki kontribusi yang dapat diterapkan dalam pendidikan islam seperti kurikulum yang fokus pada pendidikan moral dan budi pekerti. Tujuan penelitian ini yaitu untuk menjelaskan nilai-nilai pendidikan karakter dari sosok pahlawan wanita R.A Kartini yang sangat tepat untuk diterapkan di satuan pendidikan. Metode yang digunakan dalam penelitian ini menggunakan penelitian kepustakaan dengan paradigma kualitatif. Tahapan penelitian dimulai dari menelaah, menganalisis dan penyimpulan nilai karekter R.A kartini. Hasil penelitian ini menunjukkan bahwa nilai nilai pendidikan karekter R.A kartini di dalam buku habis gelap terbitlah terang yaitu religius, pantang menyerah, suka membaca, peduli, toleransi dan masih banyak lagi. kesimpulan dari penelitian  ini yaitu karakter R.A kartini dapat di terapkan dalam dunia pendidikan terutama dalam membentuk karakter peserta didik di zaman sekarang yang serba teknologi ini.
PELATIHAN LITERASI LINGKUNGAN DAN PENGOLAHAN SAMPAH PLASTIK UNTUK KERAJINAN DI SDN KRAWITAN YOGYAKARTA
Authors: Maslamah Annisaul , Agustina Novalia , Nurozi Ahmad
Published: December 2022

Tujuan dari pengabdian ini untuk menumbuhkan pengetahuan dan memberikan pemahaman siswa SDN Krawitan Yogyakarta tentang bahaya sampah plastik bagi lingkungan dan kesehatan, selain itu juga untuk mengembangkan kreativitas dan kepedulian siswa terhadap lingkungan terutama dalam pengelolaan sampah plastik. Kegiatan ini dilatar belakangi karena anak-anak merupakan generasi penerus bangsa, sehingga merupakan suatu keharusan untuk diberi edukasi sejak dini mengenai kelestarian lingkungan, agar rasa peduli terhadap lingkungan bisa tumbuh sejak dini, dari dalam diri masing-masing anak, dan mereka juga bisa mengimplementasikan apa yang diketahuinya dengan menjaga lingkungan dan dapat mendaur ulang sampah plastik yang ada disekitarnya. Masih banyaknya anak-anak di SDN Krawitan yang belum memahami mengenai bahaya sampah plastik, daur ulang sampah plastik, juga pentingnya mengurangi penggunaan plastik, menjadi alasan untuk kami mengadakan pelatihan literasi lingkungan dan pengolahan sampah plastik untuk kerajinan  di SDN Krawitan Yogyakarta. Metode yang digunakan dalam pelaksanaan kegiatan ini yaitu sosialisasi mengenai bahaya sampah plastik bagi lingkungan dan kesehatan dan langkah kecil untuk mengurangi penggunaan plastik sekali pakai dan praktik daur ulang sampah non organik menjadi kerajinan tangan yaitu pot bunga dari botol plastik bekas dan gantungan kunci dari tutup botol bekas
PENDAMPINGAN IMTAQ SANTRI WARIA MELALUI PENDEKATAN BERBASIS KELOMPOK DI PONDOK PESANTREN WARIA AL-FATAH YOGYAKARTA
Authors: Marwinata Pepy , Munsyifah Abidah , Roy Purwanto Muhammad
Published: December 2022

Sejak manusia lahir, tiap individu telah dibekali seperangkat hak yang melekat pada dirinya. Salah satunya adalah hak mendapat pendidikan. Pendidikan tidak pernah memandang kepada siapa ia berlabuh. Terlebih lagi pendidikan agama Islam yang wajib dipelajari oleh setiap penganutnya. Pondok pesantren adalah salah satu tempat kegiatan belajar mengajar agama Islam.  Pondok Pesantren Waria Al Fatah Yogyakarta adalah pondok pesantren waria satu-satunya yang ada di Indonesia. Pondok pesantren waria ini berdiri sejak Juli 2008 di Kotagede, Yogyakarta. Waria sendiri secara biologis adalah pria. Namun, secara psikologis waria adalah individu yang merasa dirinya adalah wanita. Pondok pesantren ini memiliki tujuan agar para santri yang belajar di sana dapat bertaqwa kepada Tuhan YME dan mendapat pendidikan moral yang berlaku di masyarakat pada umumnya. Melalui metode pembelajaran BTAQ santri waria dibimbing untuk memahami agama Islam. Dengan metode wawancara mendalam dan kajian pustaka, penelitian ini mengelaborasi bagaimana konsep pendidikan agama Islam yang dipakai di pondok pesantren waria tersebut. Tidak hanya edukasi pada santri waria saja. Namun, pondok pesantren ini memiliki tujuan untuk mengedukasi masyarakat tentang eksistensi  mereka melalui kegiatan sosial.
BERBISNIS BERDASRKAN PERILAKU RASULULLAH SAW
Authors: Wahyuningsih Ghina , Janah Fitri Noer , Roy Purwanto Muhammad
Published: December 2022

Bisnis yang sukses tidak terlepas dari beberapa hal diantaranya harus dilakukan berdasarkan kepercayaan, berkaitan dengan etika, dan berhubungan dengan profit. Dalam prakteknya untuk melakukan bisnis sesuai syari’at Islam telah dilakukan oleh Rasulullah SAW selaku pedoman bagi umat Islam, sehingga jika pembisnis melakukan bisnis sesuai ajaran Rasulullah maka sama dengan menjalankan sunah Rasulullah SAW. Dewasa ini semakin banyak pengusaha yang menerapkan perilaku Rasulullah dalam bisnisnya, diantaranya yaitu berorientasi pada pelanggan dengan menjaga kepuasan konsumen, keterbukaan kepada pelanggan dengan menerapkan aspek jujur dalam perniagaan, melakukan persaingan yang sehat di dalam pasar ekonomi, harus memperhatika aspek keadilan agar tidak ada pihak yang tertindas atau merasa dirugikan ketika menjalin bisnis. Penelitian ini bertujuan untuk mengetahui pelaksanaan bisnis yang benar berdasarkan ajaran Rasulullah dan mengkaji pesan-pesan yang disampaikan Rasulullah pada aspek muamalah. Penelitian ini menggunakan metode penelitian deskriptif kualitatif dengan data sekunder atau library research.
Antiparasitic effect of Farnesol against Leishmania major: a rationale from in vitro and in silico investigations
Authors: Sharma Harshita , Sehgal Rakesh , Shekhar Nihant , Kaur Upninder , Medhi Bikash
Published: December 2022

Leishmaniasis is a vector-borne parasitic infection caused by the bite of female Phlebotomine sandflies. World Health Organization (WHO) estimates 100,000 cases to be reported annually on a global scale, moreover, 13 million people were infected between 2010 and 2015 worldwide. Treatment of leishmaniasis by conventional synthetic compounds is met by challenges pertaining to adverse effects which call for the discovery of newer anti-leishmanial molecules. This study was performed to evaluate the effect and modes of action of a sesquiterpene alcoholic molecule Farnesol on Leishmania major, the causative agent of Zoonotic Cutaneous leishmaniasis. The cytotoxic effect of Farnesol against L. major promastigotes, amastigotes and macrophages was assessed by MTT test and counting. The IC50 on promastigotes by Farnesol on L. major was evaluated by flow cytometry. In the findings, Promastigotes were reduced at 167 µM/mL & the mean numbers of L. major amastigotes in macrophages were significantly decreased in exposure to Farnesol at 172 µM/ml. In addition, Farnesol demonstrated no cytotoxicity on macrophages as the IC50 value was 945 µM/ml; it induced significant apoptosis dose-dependent on L. major promastigotes. In silico protein-ligand binding analyses indicated the effect of Farnesol in perturbation of the ergosterol synthesis pathway of Leishmania with attributes suggesting inhibition of Lanosterol-α-demethylase, the terminal enzyme of ergosterol synthesis machinery. Findings from flow cytometry reveal the role of farnesol in apoptosis-induced killing in promastigotes. Farnesol was effective at very lower concentrations when compared to Paromomycin. Further studies are crucial to evaluate the therapeutic potentials of Farnesol alone or in combination with other conventional drugs using clinical settings.
Antiparasitic effect of Farnesol against Leishmania major: a rationale from in vitro and in silico investigations
Authors: Sharma Harshita , Sehgal Rakesh , Shekhar Nishant , Kaur Upninder , Medhi Bikash
Published: December 2022

Leishmaniasis is a vector-borne parasitic infection caused by the bite of female Phlebotomine sandflies. World Health Organization (WHO) estimates 100,000 cases to be reported annually on a global scale, moreover, 13 million people were infected between 2010 and 2015 worldwide. Treatment of leishmaniasis by conventional synthetic compounds is met by challenges pertaining to adverse effects which call for the discovery of newer anti-leishmanial molecules. This study was performed to evaluate the effect and modes of action of a sesquiterpene alcoholic molecule Farnesol on Leishmania major, the causative agent of Zoonotic Cutaneous leishmaniasis. The cytotoxic effect of Farnesol against L. major promastigotes, amastigotes and macrophages was assessed by MTT test and counting. The IC50 on promastigotes by Farnesol on L. major was evaluated by flow cytometry. In the findings, Promastigotes were reduced at 167 µM/mL & the mean numbers of L. major amastigotes in macrophages were significantly decreased in exposure to Farnesol at 172 µM/ml. In addition, Farnesol demonstrated no cytotoxicity on macrophages as the IC50 value was 945 µM/ml; it induced significant apoptosis dose-dependent on L. major promastigotes. In silico protein-ligand binding analyses indicated the effect of Farnesol in perturbation of the ergosterol synthesis pathway of Leishmania with attributes suggesting inhibition of Lanosterol-α-demethylase, the terminal enzyme of ergosterol synthesis machinery. Findings from flow cytometry reveal the role of farnesol in apoptosis-induced killing in promastigotes. Farnesol was effective at very lower concentrations when compared to Paromomycin. Further studies are crucial to evaluate the therapeutic potentials of Farnesol alone and in combination with other conventional drugs using clinical settings.
Learning and Knowledge Technologies as Strategies in the Training of Public Accountants
Authors: Ramos Rivadeneira Deixy Ximena , Jiménez Toledo Javier Alejandro , Goyes Sandra Lucia
Published: December 2022

this article presents the results of implementing existing software tools in the accounting field. The teaching processes regarding the use of Learning and Knowledge Technologies (TAC) in the university environment, and very specifically, in what has to do with the pedagogical integration of the same in the curriculum is deficient and disjointed with the current technological development. Thus, in the different curricula of professional programs of Public Accounting and related, the courses related to computer automation processes are oriented only towards the management of computer science and accounting software and the great diversity of existing applications that would undoubtedly directly benefit the student to know the potential of these in their future accounting practice is not taken into account. Strengthen the various skills of a Public Accountant in training through Learning and Knowledge Technologies (TAC), under the hypothesis of developing skills in the accounting field through TACs. The research was developed using a quantitative approach, an empirical-analytical method, with a type of descriptive research under an experimental design based on G1 x O1 and G2–O2, three phases were defined. In the first phase, the characterization of the existing software tools in the accounting field was carried out. In the second phase, their relevance was determined. In the third phase, performance was evaluated and then classified in a repository. The data obtained were analyzed with parametric analysis techniques through which it was found that the difference in quantitative results in the academic process between the experimental and control groups was statistically significant, which concluded the success of the experimental treatment. The use of CT scans in the classroom by the experimental group resulted in an improvement in their academic performance compared to the control group, strengthening their self-learning processes and facilitating the development of cognitive functions and skills necessary in the exercise of their accounting profession. This research supports and strengthens the work skills developed in the classroom for public accounting students. The tools TAC is developed from the request made by the radiometry laboratory as a first phase and a second phase is necessary for validation with experts.
Fabrication Temperature-Related Porosity Effects on the Mechanical Properties of Additively Manufactured CFRP Composites
Authors: Adeniran Olusanmi , Osa-uwagboe Norman , Cong Weilong , Ramoni Monsuru
Published: December 2022

The use of additive manufacturing in fabricating composite components has been gaining traction in the past decade. However, some issues with mechanical perfor-mance still need to be resolved. The issue of material porosity remains a pertinent one that needs more understanding to be able to determine viable solutions. Different re-searchers have examined the subject of porosity issues in AM-fabricated CFRP compo-sites. However, more research to quantitatively determine the effects of fabrication temperatures at the micro-scale is still needed. This study employed micro CT scan analysis to quantitatively compare the effects of fabrication temperatures at 230°C, 250°C, 270°C, and 290°C for CF-PA and CF-ABS composites. This followed an SEM evaluation which was used to determine the effects of the temperatures on interlayer and intralayer porosity generation. The porosity volume was related to the mechanical properties results in which it was determined how deposition temperatures affect the porosity volumes. It was also determined that semicrystalline composites are generally more affected by fabrication temperatures than amorphous composites, with the rela-tionship between porosity and mechanical properties also established. The overall po-rosity volume from the interlayer and intralayer voids was also determined, with the interlayer voids found to play a more determinant role in influencing the mechanical properties.
Giving a Hand: Synthetic Peptides Boost the Antifungal Activity of Itraconazole against Cryptococcus Neoformans
Authors: Aguiar Tawanny K. B. , Feitosa Ricardo M. , Neto Nilton A. S. , Malveira Ellen A. , Gomes Francisco I. R. , Costa Ana C. M. , Freitas Cleverson D. T. , Mesquita Felipe Pantoja , Souza Pedro Filho Noronha
Published: December 2022

Cryptococcus neoformans is a multidrug-resistant human pathogenic yeast responsible for infections in immunocompromised patients. Here, Itraconazole (ITR), a commercial antifungal drug with low effectiveness against C. neoformans, was combined with different synthetic peptides Mo-CBP3-PepII, RcAlb-PepII, RcAlb-PepIII, PepGAT, and PepKAA. The mechanisms of action responsible for the synergistic effect were evaluated for the best combinations by Fluorescence Microscopy (FM). The synthetic peptides enhanced the activity of ITR by 10-fold against C. neoformans. Our results demonstrated that the combinations could induce pore formation in the membrane and overaccumulation of ROS on C. neoformans cells. Our findings indicate that our peptides successfully potentialize the activity of ITR by reducing it by 10-fold to reach antifungal activity against C. neoformans. Therefore, synthetic peptides are potential molecules to act as co-adjuvant agents in treating Cryptococcal infections.
Polygonal Dataset for Vehicle Instance Segmentation for Private Surveillance System
Authors: Ottakath Najmath , Al-Maadeed Somaya
Published: December 2022

Vehicle identification is an important task in traffic monitoring because it allows for efficient inference and provides a cause for action. Vehicle classification via deep learning and other approaches such as segmentation is a critical tool for re-identification. In this paper, instance segmentation is used for vehicle make identification with license plate detection, allowing for better unique vehicle recognition for re-identification. An existing dataset is re-annotated and modified for polygonal segmentation of the vehicle’s unique frontal features, resulting in representation of the vehicle with its frontal form learned. In addition, an additional license plate identification class is added for efficient re-identification further down the re-identification and tracking pipeline. Furthermore, an additional class of license plate identification is added for efficient re-identification further down the re-identification and tracking pipeline. The results showed improved classification as well as a high mAP for the dataset when compared to previous approaches based on CNN and deformed CNN. Furthermore, a deep residual network and fully connected layer-based classification were utilized as the backbone for feature representation. Instance segmentation detects objects by segmenting and classifying regions of interest. The imbalance in the dataset is resolved using a mosaic-tiled approach, which produces greater precision than other approaches evaluated for in the paper.
Implementing Computer Vision Techniques to Recognize American Sign Language (ASL) Hand Signals
Authors: Khan Mohd Tauheed , Martin Grande Alvaro , E. Ayala Rodrigo , Isteefano Stuart
Published: December 2022

American Sign Language is a popular language for deaf individuals. Communication is made easier for these people through sign language. However, in a digital era like today, there is a need for these people to be able to communicate online, and even get help from technology to communicate in person with non sign language speakers. This research will present a program able to translate American sign language to plain English. This study aims to use the OpenCV library to recognize hand signals, also a trained model to identify images so that the program can then translate them to words and letters. The program uses a data set of over 2000 images which will be in this case the largest data set available. With over 90\% of accuracy it results in a basic computer program with the largest data set available that would make possible for users to communicate with a wide variety of words and expressions.
Digital Virtual Consultations and Improved Stakeholders' Health and Wellbeing amongst Hospital Doctors
Authors: Zammit Dorothy , Tomaselli Gianpaolo , Buttigieg Sandra C. , Garg Lalit , Macassa Gloria
Published: December 2022

The past several decades have seen a shift in patient care towards digitalisation, which has ushered in a new era of health care delivery and improved sustainability and resilience of health systems, with positive impacts on both internal and external stakeholders. This study’s aim was to understand the role of digital virtual consultations in improving internal and external stakeholders’ health, as well as wellbeing among hospital doctors. A qualitative research approach was used with semi-structured online interviews administered to hospital doctors. The interviews showed that the doctors viewed digital virtual consultations as supplementary to in-person consultations, and as tools to reduce obstacles related to distance and time. If the necessary infrastructure and technology were in place, doctors would be willing to use these options. Implementing these technologies would improve the medical profession’s flexibility on the one hand; but it might affect doctors’ work–life balance if consultations extended beyond standard working hours.
EJS: Multi-Strategy Enhanced Jellyfish Search Algorithm for En-Gineering Applications
Authors: Hu Gang , Wang Jiao , Li Min , Hussien Abdelazim , Abbas Muhammad
Published: December 2022

Jellyfish search (JS) algorithm impersonates the foraging behavior of jellyfish in the ocean. It is a new developed meta-heuristic algorithm that solves complex and real world optimization problems. The global explore capability and robustness of JS are strong, but JS still has great development space in solving complex optimization problems with high dimensions and multiple local optima. Therefore, an enhanced jellyfish search (EJS) algorithm is developed in this study, and three improvements are made: (i) By adding sine and cosine learning factors, the jellyfish can learn from both random individual and best individual during Type B motion in swarm to enhance the optimization capability and convergence speed; (ii) Adding local escape operator can skip local optimal trap and boost the exploitation ability of JS; (iii) Opposition-based learning operator and quasi-opposition learning operator can increase and strengthen the population distribution more diversified, and better individuals are selected from present and new opposition-solution to participates in the next iteration, which can boost the solution’s quality, meanwhile convergence speed is fasted and its precision is increased. In addition, the performance contrast of the developed EJS and some previous outstanding and advanced methods are evaluated on CEC2017, CEC2019 test suite and six real engineering example of case. It is demonstrated that EJS algorithm escaped the trap of local optimum, enhanced the solution’s quality and the calculation speed. What’s more, the practical engineering applications of EJS algorithm also verify its superiority and effectiveness in solving both constrained and unconstrained optimization problems, and it stretched one’s mind for solving such optimization problems.
Opening the Black-box of Imputation Software to Study the Impact of Reference Panel Composition on Performance
Authors: Dekeyser Thibault , Génin Emmanuelle , Herzig Anthony F.
Published: December 2022

Genotype imputation is widely used to enrich genetic datasets. The operation relies of panels of known reference haplotypes with typically whole-genome sequencing data. How to choose a reference panel has been widely studied and it is essential to have a panel that is well matched to the individuals who require imputation of missing genotypes. However, it is broadly accepted that such an imputation panel will have an enhanced performance with the inclusion of diversity; haplotypes from many different populations. We investigate this observation in this work by examining in fine detail exactly which reference haplotypes are contributing at different regions of the genome. This is achieved using a novel method of inserting synthetic genetic variation into the reference panel in order to track the performance of leading imputation algorithms. We show that while diversity may globally improve imputation accuracy, there can be occasions where incorrect genotypes are imputed following the inclusion of more diverse haplotypes in the reference panel. We however demonstrate a technique for retaining and benefitting from the diversity in the reference panel whilst avoiding the occasional adverse effects on imputation accuracy. What is more, our results elucidate more clearly the role of the diversity in a reference panel than has been shown in previous studies.
Discerning Discretization for UUV DC Motor Control
Authors: Menezes Jovan , Sands Timothy
Published: December 2022

Discretization is the process of converting a continuous function or model or equation into discrete steps. In this work, adaptive and learning methods are implemented to control DC motors that are used for actuating control surfaces of unmanned underwater vehicles. Adaptive control is a method in which the controller is designed to adapt the system with parameters which vary or are uncertain. Parameter estimation is the process of computing the parameters of a system using a model & measured data. Adaptive methods have been used in conjunction with different parameter estimation techniques. Deterministic artificial intelligence, a learning-based approach that uses the process dynamics defined by physics, is also applied to control the output of the DC motor to track a specified trajectory. This work goes further to evaluate the performance of the adaptive & learning techniques based on different discretization methods. The results are evaluated based on the absolute error mean between the output & the reference trajectory and the standard deviation of the error. The first order-hold method of discretization and surprisingly large sample time of seven tenths of a second yields over sixty percent improvement over the results presented in the prequel literature.
Effects of a practical teacher-training program on STEAM activity planning
Authors: Rodrigues-Silva Jefferson , Alsina Ángel
Published: December 2022

We sought to analyse the effects of a practical teacher-training program on teachers’ abilities in planning STEAM activities. For that, a case study is presented in a mixed-method research approach. 14 Brazilian teachers took part in a course wherein they received mentoring, instruments, and feedback to develop STEAM plans. In this research, data were collected from two surveys, from previously validated open-ended questions, and from the STEAM plans as final products. Quantitative data was analysed through nonparametric statistical tests, and qualitative data underwent content analysis according to the Ground Theory commandments. As result, teachers reported a positive view of the STEAM impact and a high predisposition towards it. Although they considered merging STEAM areas challenging, especially Engineering and Technology, the training helped them surpass it. All plans had at least two areas, and half of them had all five STEAM areas. Around 70% of the teachers used an active learning teaching method which was new to them. There was a significant augment in teachers' self-efficacy in planning STEAM activities.
Modern approaches of high-voltage transmission lines monitoring
Authors: Honcharov Yevhen , Kriukova Nataliia , Markov Vladyslav , Poliakov Ihor
Published: December 2022

Transmission lines require timely inspection and monitoring to prevent emergency situations during operation. System emergency situations as blackout are very undesirable, so they need their previous detection and prevention. Accordingly, this can be avoided by detailed monitoring the functioning of all elements of the power system. The directions of remote control for researching the operational state of electric power facilities through the use of special equipment, in particular aerial vehicles, have gained sufficient development. Possibilities of practical means of remote monitoring of power transmission lines are also considered. Due to their relatively inexpensive use and ease of operation, distant controlled aerial vehicles are an effective approach for surveying high-voltage power lines. A number of advantages of using distant controlled aerial vehicles are the extended functionality of monitoring quality provided by modern equipment. Functional analysis of modern on-board equipment indicates the possibility of detecting research objects on a real-time scale, due to the use of telemetry, satellite and combined television and thermal imaging systems, with the possibility of detailed observe. The most perspective is the use of combined heat-television systems, which allow improving the technical characteristics of the surveillance system significantly. This method provides monitoring of heat losses, detection of overheated elements of transmission lines and assessment of the performance of elements. Such technology ensures more safer and timely detection of malfunctions, threats to operation and carrying out work on their elimination. In addition, the fields of application of distant controlled aerial vehicles as surveys for the design of energy systems are increasing.
The Relationship Between Academic Stress With Academic Self-Efficacy In Vocational High School Students
Authors: Hasanah Niswatun , Mariyati Lely Ika
Published: December 2022

This study aims to determine the relationship between Academic Stress and Academic Self-Efficacy in Raden Paku Wringinanom. Vocational High School students.  The variables contained in this study are academic stress as the independent variable and academic self-efficacy as the dependent variable. This research is a type of quantitative research with a correlational approach. The sample of this study amounted to 202 students from a total population of 479 students who were taken with the Stratification sampling technique. The results of the data analysis of this study indicate a correlation coefficient of -0.186 with a significance of 0.008, which is smaller than 0.05, meaning that there is a negative relationship between Academic Stress and Academic Self-Efficacy.
Comparative and Phylogenetic Analysis of the Complete Chloroplast Genomes of Six Polygonatum Species (Asparagaceae)
Authors: Zhang Dongjuan , Ren Jing , Jiang Hui , Wanga Vincent Okelo , Dong Xiang , Hu Guangwan
Published: December 2022

Background: Polygonatum Miller is the largest genus in the tribe Polygonateae of Asparagaceae, and the horizontal creeping fleshy roots of several species in this genus serve as traditional Chinese medicine. Previous studies have been concerned mainly with the size and gene contents of the plastome, comparative analysis of the plastid genomes of this genus is relatively rare. And there are still some species whose chloroplast genome information has not been reported.
Results: In this study, the complete plastomes of six Polygonatum were sequenced and assembled, among which, the chloroplast genome of P. campanulatum was reported for the first time. Comparative and phylogenetic analyses were then conducted with the published plastomes of three related species. Results indicated that the whole plastome length of the Polygonatum species ranged from 154, 565 bp (P. multiflorum) to 156, 028 bp (P. stenophyllum) having a quadripartite structure of LSC and SSC separated by two IR regions. A total of 113 unique genes were detected in each of the species. Comparative analysis revealed that gene content, protein-coding genes and total GC content in these species were highly identical. No significant contraction or expansion was observed in the IR boundaries among all the species exceptP. sibiricum, in which the rps19gene was pseudogenized owing to incomplete duplication. Abundant long dispersed repeats and SSRs were detected in each genome. There were eight remarkably variable regions and 14 positively selected genes were identified among Polygonatum and Heteropolygonatum. Phylogenetic results based on chloroplast genome illustrated that P. campanulatum with alternate leaves were strongly supported locating in sect. Verticillata, a group characterized by whorled leaves. Moreover, P. verticillatum and P. cyrtonema were displayed as paraphyletic.
Conclusions: This study revealed that the characters of plastomes in Polygonatum and Heteropolygonautm maintained a high similarity. Eight highly variable regions were found to be potential specific DNA barcodes in Polygonatum. Phylogenetic results suggested that leaf arrangement was not suitable as a basis for delimitation of subgeneric groups in Polygonatum and the definitions of P. cyrtonemaand P. verticillatum require further study.