bluuebunny/crossref_metadata_2025 huggingface dataset:
Dedicated to the Memory of Academician Grigory Vasilievich Bondar and the 80th Anniversary of the Oncological Service of Donbass
Authors: Sedakov I. E. , Semikoz N. G. , Zolotukhin S. E. , Zaika A. N. , Bondar A. V. , Riazantseva D. S.
Published: October 2023

The oncological service of Donbass has a rich history. The path of its formation began in 1943, when on September 9, 1943, Professor M.K. Afanasiev signed an order to restore the activities of the Stalin X-ray station and the oncological hospital.

The first organizer of the radiological service in the Donbass is considered to be Ekaterina Vladimirovna Stelling, who was appointed in 1946 to the post of head of the oncological hospital in Stalino. The radiological service appeared in 1947, when the Regional Oncological Dispensary was organized. Soon the institution was renamed the Donetsk Regional Oncological Dispensary (DROD). Soon the institution was renamed the Donetsk Regional Oncological Dispensary. In 1955, DROD, in order to increase the number of beds, was transferred to the base of the Regional Clinical Hospital. M.I. Kalinin.

Under the leadership of Grigory Vasilyevich Bondar, in September 1968, an oncology course was organized, the clinical base of which was DROD. August 19, 1975 Grigory Vasilyevich headed the Department of Oncology, established at the Donetsk State Medical Institute. M. Gorky. October 12, 1992 Donetsk Regional Oncology Center received the status of an antitumor center. Academician of the National Academy of Medical Sciences of Ukraine, Doctor of Medical Sciences, Professor Grigory Vasilyevich Bondar has been appointed its General Director.

The center, which subsequently became the leading one in Ukraine, had the greatest experience in surgical and combined treatment of tumors of various localizations using the methods proposed in the clinic. In 2006, the first radiotherapy complex in Ukraine was installed in the Donetsk Regional Cancer Center.

At the beginning of 2014, our teacher passed away. Students with dignity continue the work of Bondar Grigory Vasilyevich. At the end of 2014, on the basis of the Donetsk Regional Antitumor Center, the Republican Cancer Center of the Ministry of Health of the Donetsk People’s Republic was created, which was named after Professor Grigory Vasilyevich Bondar. The Center proudly bears the name of the great Teacher Grigory Vasilyevich Bondar! And in our present life, he is still a mentor and assistant!

We are sure that the symbiosis of science and practice of a team of professionals who selflessly give their knowledge, experience and skills for the benefit of patients will give a powerful impetus to the further development of the oncological service of Donbass.
Genetic basis for skeletal new bone formation
Authors: Parreira Bruna , Couto Ana Rita , Pinheiro Luís , Bruges-Armas Jácome
Published: October 2023

Bone formation is a complex process that occurs throughout life, and is normally limited to the skeletal system. In bone formation, osteoprogenitor cells follow several developmental stages, including differentiation in osteoblasts, proliferation, matrix maturation, and mineralization. The mechanisms involved in the mineralization process of bone, such as in the new bone formation, are extremely complex and have been under intense investigation for many years. Bone formation follows two distinct processes, intramembranous and endochondral ossification; both are regulated by signaling pathways involving numerous genes. Disturbance of these signaling pathways may cause a large spectrum of skeletal diseases characterized by new bone formation and bone growth anomalies. This review will only focus on the key genetic pathways involved in heterotopic bone formation. Wingless/integrated (Wnt), hedgehog (HH), and transforming growth factor beta (TGFβ)/bone morphogenetic protein (BMP) signaling pathways are described and illustrated; their relation with new bone formation is demonstrated through their involvement in bone formation disorders.
Enhancing Bit Rate using Hybrid Access Method based on NOMA and CDMA for 5G Networks
Authors: Jazyah Yahia Hasan
Published: October 2023

Non-orthogonal multiple Access (NOMA) is a transformative wireless communication technique that has gained significant attention for its ability to enhance spectral efficiency and capacity in modern communication systems. Unlike traditional orthogonal multiple access methods, which allocate separate frequency, time, or code resources to users, NOMA controls power domain multiplexing to enable multiple users to share the same time and frequency resources simultaneously. This work provides comprehensive details about NOMA and proposes a hybrid access method that benefits from NOMA and the Code Division Multiple Access (CDMA) to enhance the bit rate in the downlink from Base Station to mobile nodes. Simulation results prove that the proposed technique enhances the bit rate for users even the far ones from the base station.
Classification of Guava Leaf Disease using Deep Learning
Authors: Doutoum Assad S. , Eryigit Recep , Tugrul Bulent
Published: October 2023

A higher percentage of crops are affected by diseases, posing a challenge to agricultural production. It is possible to increase productivity by detecting and forecasting diseases early. Guava is a fruit grown in tropical and subtropical countries such as Chad, Pakistan, India, and South American nations. Guava trees can suffer from a variety of ailments, including Canker, Dot, Mummification, and Rust. A diagnosis based only on visual observation is unreliable and time-consuming. To help farmers identify plant diseases in their early stages, an automated diagnosis and prediction system is necessary. Therefore, we developed a deep learning method for classifying and forecasting guava leaf diseases. We investigated a dataset composed of 1834 leaf examples, separated into five categories. We trained the dataset using four different and generally preferred pre-trained CNN architectures. The EfficinetNet-B3 architecture outperformed the other three architectures, achieving 94.93% accuracy on the test data. The results ensure that deep learning methods are more successful and reliable than traditional methods.
Study of the Toxic Manifestation of Etoposide the Concomitant Exposure of Acetyl Salicylic Acid As a Protector on the Example of C57Bl/6J Mice Line
Authors: Antosyuk O. N. , Gorskaya A. V. , Petrovskii D. V. , Dubatolova T. D.
Published: October 2023

The paper presents the results of evaluating the genetic and cytogenetic toxicity of etoposide, as well as the evaluation results of protective properties of aspirin against the toxicity of etoposide in C57Bl/6J mice. The cytogenetic activity and protective properties assessment was carried out using the chromosome aberration analysis in metaphase cells. Etoposide was tested at a concentration of 15 and 3 mg/kg and aspirin — at a concentration of 25 mg/kg of the animal. The results of metaphase analysis showed that etoposide exhibits cytogenetic toxicity in both doses, and aspirin exhibits protective properties against the toxicity of etoposide at a concentration of 15 mg/kg. The results of chromosome analysis regarding the protective properties of aspirin against etoposide at a concentration of 3 mg/kg are ambiguous and require further experiments.
Experimental Justification of Reprofiling of the Drug Maxar® for the Treatment of Viral Infections
Authors: Zaporozhets T. S. , Krylova N. V. , Fedoreyev S. A. , Iunikhina O. V. , Pott A. B. , Tarbeeva D. V. , Mishchenko N. P. , Shchelkanov M. Yu.
Published: October 2023

Relevance. The development of highly effective broad-spectrum antiviral agents is one of the priorities in medicine, virology, and pharmacology. The strategy of repurposing (repositioning) registered drugs is of special interest along with significant progress in this area due to the use of the latest technologies for target identification, discovery and optimization of the lead compound, biological testing. The advantages of repositioning are, among other things, in reducing the time and cost of some of the necessary stages of research.

The aim of the work is to study the antiviral activity of the polyphenol complex (PPC) from Maackia amurensis, the active substance of the drug Maksar®, as well as to expand the field of medical application of the drug.

Material and methods. The antiviral activity of PPC against herpes simplex virus type I (HSV-1) and enterovirus B (ECHO-1) grown on Vero cell culture was assessed by inhibition of the cytopathogenic effect (CPE) of the virus using the MTT assay.

Results. PFC from Maackia amurensis wood effectively prevents the attachment of HSV-1 and ECHO-1 to Vero cells and exhibits high activity, exerting a virucidal effect, as well as inhibiting the early stage of viral particle replication.

Conclusion. The data obtained expand the spectrum of pharmacological activity of Maxar® and determine the need for further studies of this drug in vivo to establish its antiviral properties in animal experiments. The final conclusion related to efficacy and safety can be drawn from the results of controlled randomized clinical trials with significant clinical results.
Impactos del Diseño de un Sistema de Gestión Ambiental en la Mitigación de los Índices de Contaminación en las Empresas del Sector Textil en Bogotá: Caso Puente Aranda
Authors: Moreno Cristancho Jesús Oswaldo
Published: October 2023

El presente artículo se enfoca en la revisión del impacto que genera un sistema de gestión ambiental, a través de la implementación del objetivo que consiste en diseñar un sistema de gestión ambiental para la empresa en la mitigación de los índices de contaminación de las empresas del sector textil en Bogotá: caso Puente Aranda, desarrollado y estimados a partir de la aplicación de un instrumento que permitió validar la información de manera cuantitativa y cualitativa, donde se demuestra que el personal no tiene la conciencia cuidar y racionalizar  los recursos ambientales, ni practican la cultura de los principios del PVA, a partir de los resultados analizados del proceso de indagación, de información primaria obtenida del estudio de contaminación del sector textil por localidades de Bogotá.
Pengaruh Penggunaan Edible Coating Berbahan Dasar Pati Pisang Goroho (Musaacuminafe, Sp) Terhadap Kualitas Buah Jambu Kristal (Psidium Guajava L) Selama Penyimpanan
Authors: Husain Sahrul Husain , Liputo Siti Aisa , Maspeke Purnama Ningsih
Published: October 2023

Jambu biji (Psidium guajava L) merupakan buah yang tergolong dalam buah klimaterik, dengan demikian termasuk buah yang cepat mengalami kerusakan karena daya simpannya setelah panen pada suhu ruang yang tidak lama. Oleh karena itu untuk memperpanjang umur simpan adalah dengan penyimpanan dengan metode penggunaan edible coating berbahan dasar pati pisang goroho. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan edible edible coating terhadap kualitas jambu kristal selama penyimpanan. Metode yang digunakan adalah Rancangan Acak Lengkap (RAL). Penelitian dilaksanakan dalam 3 kali ulangan dan pengamatan dilakukan selama 12 hari setiap 6 hari sekali. Parameter yang diamati adalah vitamin C, susut bobot, laju respirasi, kadar air, dan organoleptik. Hasil analisis sidik ragam (0,05) menunjukkan bahwa  pada perlakuan 3 % dan 5 % pati pada pelapisan edible coating memberikan perlakuan terbaik karena dapat menekan vitamin C, susut bobot, kadar air, laju respirasi dan organoleptik pada warna dan tekstur.Kata Kunci : Edible Coating, Pati Pisang Goroho, Jambu Kristal.
Prediksi Umur Simpan Dan Pengaruh Metode Pengemasan Terhadap Aktifitas Mikrobiologi Bubur Jagung Instan Terfortifikasi Ekstrak Daun Kersen (Muntingia Calabura L.)
Authors: Panigoro Mohamad Ikbal , Une Suryani , Ahmad Lisna
Published: October 2023

Bubur jagung instan adalah produk pangan kering yang perlu di prediksi umur simpan serta potensi kerusakan akibat mikroorganisme, pengemasan  memiliki pengaruh yang sangat besar dalam upaya melindungi hasil pengolahan atau produk industri  dari bahaya pencemaran, gangguan fisik serta untuk mendapatkan bentuk yang memudahkan dalam penyimpanan, pengangkutan dan distribusi,serta sebagai  promosi dan media informasi. Tujuan penelitian ini untuk mengetahui pengaruh jenis kemasan dan mikrobiologi terhadap umur simpan bubur jagung instan terfortifikasi ekstrak daun kersen. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) dengan satu faktor yaitu, jenis kemasan, Dengan 4 perlakuan dan di ulang sebanyak 3 kali. Parameter yang di uji yaitu Total Plate Count (TPC) dan prediksi umur simpan. Hasil penelitian umur simpan dengan kemasan pada kondisi RH 80% adalah 28, 60, 160, 329 hari. Hasil jumlah bakteri pada minggu ke 4 kemasan polipropilene mengalami peningkatan  yaitu sebesar 201 x 106 pada kondisi non vakum dan 188,5 x 106 pada kondisi vakum dan jumlah mikroba kemasan laminatin aluminium foil pada minggu ke 4 dengan 282 x 106 pada kondisi non vakum serta 160,9 x 106 pada kondisi vakum. jumlah jamur dengan kemasan polipropilene pada minggu ke 4 mengalami peningkatan dengan 43,3 x 106  kondisi non vakum 37,9 x 106 pada kondisi vakum dan jumlah jamur  dengan penggunaaan kemasan laminatin aluminium foil mengalami peningkatan pada minggu ke 4 dengan 47,5 x 106 kondisi non vakum dan 38,7 x 106 pada kondisi vakum.
Analisis Kimia Minuman Fungsional Daun Kersen Dan Biji Buah Pepaya Dengan Penambahan Gula Aren
Authors: Idrak Aldita , Tahir Muh , Liputo Siti Aisa
Published: October 2023

Functional drinks are drinks that contain elements of nutrients and can provide good benefits for the health of the body. This functional drink is made from cherry leaves, papaya seeds and palm sugar. Some of the components that play a role in all ingredients are the content of flavonoids, triterpene tannins, alkaloids, saponins, and phenols which function as pharmacolyses for the body. The purpose of this research is to produce functional drinks that are innovative and suitable for consumption as well as to maximize the benefits of cherry leaves, papaya fruit seeds and palm sugar in beverage processing, especially papaya fruit seeds which are often wasted. The data obtained from each test were collected and analyzed using the 1-factor Completely Randomized Design (CRD) method which was arranged with four treatments and three replications. The treatments used consisted of three formulations (palm sugar, papaya fruit seeds, cherry leaves) namely B0(0:50:200), B1(50:50:150), B2 (100:50:100) B3 (150:150). 50:50). Each treatment was repeated three times. Observation parameters consist of antioxidant activity, total dissolved solids, sweetness and organoleptic levels with the highest antioxidant yield of 51.220 ppm, total dissolved solids 10.330Brix, and sweetness level of 11,000Brix.
KARAKTERISTIK FISIK DAN KIMIA BUBUK CABAI RAWIT (CAPSICUM FRUTESCENS L) PADA BERBAGAI KONSENTRASI BAHAN PENGISI DENGAN METODE FOAM MAT DRYING
Authors: Kasim Mulki , Une Suryani , Limonu Marleni
Published: October 2023

Penelitian ini bertujuan untuk mengetahui pengaruh konsentrasi bahan pengisi maltodekstrin dan tapioka terhadap karateristik bubuk cabai rawit yang dikeringkan dengan metode foam mat drying. Pembuatan bubuk cabai rawit menggunakan metode foam mat drying, pada penelitian ini menggunakan bahan pengisi maltodekstrin dan tapioka. Metode yang digunakan adalah rancangan acak lengkap (RAL) 2 faktor yaitu jenis bahan pengisi dan konsentrasi bahan pengisi. Data dianalisis dengan uji statistis Analisis of variance (ANOVA). Hasil penelitian menunjukan bahwa perlakuan penambahan jenis bahan pengisi maltodekstrin dan tapioka berpengaruh nyata terhadap kadar air, indeks penyerapan air, total padatan terlarut dan warna, Pada perlakuan antara konsentrasi maltodekstrin dan tapioka berpengaruh nayata terhadap kadar air, vitamin C, dan total padatan terlarut. Perlakuan terbaik adalah perlakuan dengan penambahan maltodekstrin sebesar 25%, dengan karakteristik kadar air 6,97%, indeks peneyerapan air 11,45%, vitamin C 9,47%, total padatan terlarut 9,53%, kadar abu 1,68% warna L 55,56 warna a 16,40 warna b 27,00, dan perlakuan dengan penambahan tapioka 25% dengan perlakuan tebaik pada nilai rendemen 24,40% dan vitamin C 9,49%.
SUBSTITUSI TEPUNG KECAMBAH KACANG HIJAU (Phaseolus radiatus L) DALAM UPAYA PENINGKATAN NILAI GIZI PRODUK WAPILI (WAFFLE)
Authors: Duda Rahmatika , Bait Yoyanda , Ahmad Lisna
Published: October 2023

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh substitusi tepung kecambah kacang hijau terhadap karakteristik kimia dan organoleptik kue wapili (waffle). Rancangan Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) faktor tunggal, dengan 5 perlakuan yaitu :P0 (100% tepung terigu :0% tepung kecambah kacang hijau), P1 (90% tepung terigu :10% tepung kecambah kacang hijau), P2 (80% tepung terigu :20% tepung kecambah kacang hijau), P3 (70% tepung terigu :30% tepung kecambah kacang hijau), dan P4 ( 60% tepung terigu :40% tepung kecambah kacang hijau). Hasil penelitian menunjukan P4 (40% tepung kecambah kacang hijau) merupakan perlakuan yang menghasilkan komponen proksimat yang tertinggi dan juga aktivitas antioksidan serta parameter organoleptik yang disukai yaitu kadar protein (15,04%), kadar abu (1,80%), kadar air (31,47%) dan kadar lemak (4,81%), kadar karbohidrat (45,80%), aktivitas antioksidan (215,82 ppm), serta uji organoleptik dari segi warna (suka), aroma (agak suka), rasa (suka) dan tekstur (agak suka).
KARAKTERISTIK FISIK KIMIA MIKROBIOLOGI DAN ORGANOLEPTIK IKAN ASIN CAKALANG (Katsuwonus Pelamis) PADA VOLUME LARUTAN ASAM JAWA (Tamarindus indica. L) YANG BERBEDA
Authors: Nurhandayani Isma , Limonu Marleni , Tahir Muh
Published: October 2023

ABSTRAK Kemunduran mutu yang biasanya terjadi pada produk olahan ikan asin disebabkan oleh pertumbuhan bakteri dan cara penanganan yang kurang tepat. Asam jawa merupakan bahan alami yang banyak mengandung senyawa aktif diantaranya flavonoid, saponin, alkaloid tannin dan beberapa asam oraganik yang berperan sebagai antibakteri. Penelitian ini bertujuan untuk mengetahui karakteristik fisik, kimia, mikrobiologi dan organoleptik ikan asin cakalang (Katsuwonus pelamis) pada volume larutan asam jawa (Tamarindus indica L) yang berbeda. Metode yang digunakan dalam penelitian ini adalah eksperimen laboratorium menggunakan Rancangan Acak Lengkap (RAL) 4 perlakuan 3 kali ulangan dan 2 variabel, variabel terikat yaitu penambahan garam 15% x berat ikan dan larutan asam jawa (20% BI, 40% BI, 60% BI) dengan lama penggaraman 24 jam setelah itu dikeringkan pada suhu 60°C. Sedangkan variabel bebas adalah kualitas ikan asin cakalang selama penyimpanan 35 hari. Dari hasil penelitian diperoleh kadar air berkisar antara 22-26%, protein 35,56-38,37%, lemak 2,37-4,11%, TPC 0 hari sebanyak 1,9 x 106-7,6 x 104 koloni/gram dan hari ke 35 sebanyak 5,4 x 104-9,0 x 103 koloni/gram, AKK hari ke 0 sebanyak 1,0 x 102-2,0 x 102 koloni/gram dan hari ke 35 sebanyak 1,5 x 104-1,9 x 103, organoleptik kenampakan 5,40-6,63, aroma 5,80-6,03 dan tekstur 4,40-5,60. Kata kunci: Ikan asin asam jawa.
Foresight Study on Artificial Intelligence in Smart Dustbin
Authors: Shazaitul Azreen Rodzalan  , Nur Sabrina Nadia Mohd Jasni  , Noor Nazihah Mohd Noor  , Maisarah Mohamed Saat  , Mohd Hasan
Published: October 2023

As a developing country, Malaysia is still struggling with the waste management. It is impossible to maintain the same amount of waste that need to be disposed every day. Thus, smart dustbin with Artificial Intelligence (AI) is one of the solutions to ensure waste management able to be disposed effectively. By considering the importance of waste management, this study aims to identify issues and drivers related to AI in smart dustbin among service providers in Malaysia and examine future trends of AI in smart dustbin among service providers in Malaysia. Respondents are among top management of waste management company in Selangor. Qualitative and quantitative method were used by analysing data using descriptive analysis, scenario building and impact-uncertainty. Two drivers selected from impact-uncertainty analysis are outstanding performance of AI and problems on managing waste. In examining future trends, there are four scenarios were projected, which are expertise on AI application, prioritize current waste management practices, effective use of smart dustbin, and Research and Development financial constraint. The findings of this study benefits to the stakeholders as they able to plan and prepare with effective planning in managing the waste in future.
Effects of Fly Ash Geopolymer Hot Mix Asphalt Additive on the Rheological Properties of Unaged and Short-Term Aged Asphalt Binder
Authors: Hazirah Bujang  , Mohamad Yusri Aman  , Mohammad Nasir Mohamad Taher  , Siti Samahani Suradi
Published: October 2023

Asphalt pavement has the advantages of driving comfort and convenient maintenance, which has been widely applied to highway construction. However, due to the continuously increased traffic volume, it is recognized that asphalt binder and mixtures with enhanced characteristics are needed to guarantee the durability of the functional performance of transportation infrastructures. This study was carried to evaluate the effect of fly ash geopolymer additive on the rheological properties of unaged and short-term aged asphalt binder. In the respect, asphalt binder 80/100 and 60/70 penetration grade with 0, 3, 5, 7, 9 and 11% fly ash geopolymer by weight of asphalt binder were prepared. The results indicated that the addition of FAG significantly increases the stiffness (G*) and decreases the phase angle (δ) for both unaged and short-term aged modified asphalt binder compared to the control asphalt binder. This can be proved that presence of FAG significantly improved rutting parameter i.e G*/sin δ compared to control in which capable to resist rutting at higher temperature. In terms of failure temperature, highest failure temperature of 9% FAG modified asphalt binder indicated that the binder is less susceptible to be rutting at high pavement temperature for both unaged and short-term aged, respectively. Overall research conclusions are that 9% of FAG is proposed as the minimal content to be used as an additive in asphalt binder for further mixture evaluations.
An Overview of Deep Learning Approaches for Alzheimer’s Disease Classification: A Review
Authors: V. Sanjay  , P. Swarnalatha
Published: October 2023

The most impressive organ that has the ability to produce emotion, flexible enough to enthusiastically modify itself, and is more potent than any computer ever created is the human brain. The well-known form of dementia, which is characterized by progressive loss of memory and cognitive function that affects more than 15 million people globally, is termed Alzheimer’s Disease (AD). Nevertheless, for neurologists, AD classification is a well-known problem. For the classification of various stages of AD, enormous techniques are wielded recently. Grounded on Deep Learning (DL) approaches, a review was done on AD classification. The recent research on the classification of AD grounded on Feature Extraction (FE) and selection approaches and Deep Neural Network (DNN) centered classification along with the dataset-centric classification of AD are emphasized by this research. Finally, regarding performance metrics, the performance of the several approaches wielded for the classification of AD is analogized.
Leukemia Blood Cells Detection using Neural Network Classifier
Authors: Muhammad Naufal Mansor  , Mohd Zamri Hasan  , Wan Azani Mustafa  , Farah Hanan Mohd Faudzi  , Syahrul Affandi Saidi  , Mohd Aminudin Jamlos  , Noor Anida Abu Talib  , Ahmad Kadri Junoh
Published: October 2023

Image segmentation is an image processing operation performed on the image in order to partition the image into some images based on the information contained in the original image. Image segmentation plays an important role in many medical imaging applications, image segmentation facilitates the anatomy process in a particular body of human body. Classification and clustering are the methods used un data mining for analyzing the data sets and divide them on the basis of some particular classification rules. There are many image segmentation tools that used for medical purpose, so it is necessary to define and/or to improve the image segmentation methods in order to get the best method. In this study, the image of leukemia and red blood cells will be used as samples to determine the best algorithm in image segmentation. The procedure for doing segmentation itself is clustering image, edge detection on image, and image classification. The clustering is to extract important information from an image. The edge detection is to determine the existence of edges of lines in image in order to investigate and localize the desired edge features. Moreover, the classification analyzes the properties of some images and organizes the information into certain categories. In this study, the Neural Network and K-Nearest Neighbor are used for image classification by paired with Local Binary Pattern and Principal Component Analysis. The results revealed that the best method of proven in classifying images is from Local Binary Pattern feature extraction with the average accuracy of 94%.
Evaluation of the Performance of Technology Companies using VIKOR Algorithm
Authors: Kah Fai Liew  , Weng Siew Lam  , Weng Hoe Lam
Published: October 2023

Technology sector plays a central role in a country nowadays. The development of the current era where the contribution of technology cannot be denied and should be greatly concerned by the government indeed. The financial structure of the technology companies is needed to be improved so that they are more resistant to economic fluctuations. Moreover, the technology sector constitutes an essential part of global employment, and it can also contribute to world economic growth in an effective way. For nowadays’ trends, the competitive environment forced companies to utilize their financial resources effectively. As a result, the financial performance (FP) of the technology companies is investigated in this study. The FP is assessed by the important financial factors, which are current assets, total assets, current liabilities, total liabilities, revenue and net income. The purpose of this research is to propose a research framework to determine the FP and ranking of Malaysia’s technology companies using VIKOR algorithm. According to the results of this research, the five top-performing companies in terms of FP are MYEG, INARI, VSTECS, VITROX and PENTA. Based on the optimal solution of VIKOR algorithm, OMESTI is not able to show good financial performance as compared to other technology companies. This paper is also capable to provide insight into the technology companies for benchmarking in the future based on the ranking and current financial status of the companies. This study is significant to investigate the FP and ranking of technology companies with the proposed VIKOR algorithm.
Distance of Drill-Hole Determination based on Global Estimation Variance of Coal Resources Classification
Authors: Nur Ali Amri  , Septi Wulandari  , Tedy Agung Cahyadi  , Inmarlinianto  , Satria Abadi
Published: October 2023

Based on SNI 5015:2019, the estimation of coal resources is based on geological conditions, as well as the distance of information points for each geological condition and resource class. PT. AMNK is a coal mining company and has now started mining. The mines are divided into three blocks, north, middle, and south. Drilling activities have been carried out in the middle block, with 66 drilling points resulting in 4 main seams namely, H seam, I seam, J seam, and K seam. The average drill hole distance is 150 m. This type of coal deposit belongs to the moderate geological group characterized by the presence of a fault in the middle block. Further analysis of optimum drill hole distances is carried out as a basis for the estimation and classification of resources, which in 2024 will be used as an exploration target for the southern block. Analysis of the optimum drill hole distance based on the "relative error" value using the GEV (Global Estimation Variance) method and the size of the sill variogram. Based on the analysis of the K seam, the optimum borehole distances were 385 m, 750 m, and 1750 m, measured, indicated, and inferred categories, respectively.
Hybrid One-Cycle-PI Control Algorithm for Shunt Active Power Filter in Mitigating Harmonic Currents
Authors: Nurul Izzah Mohamad Ariffin  , Nor Farahaida Abdul Rahman  , Siti Zaliha Mohammad Noor
Published: October 2023

The quality of current waveforms, such as the presence of the harmonic components at the point of common coupling of various consumers, deteriorated due to the nonlinear load applications. Hence, a Shunt Active Power Filter (SAPF) is used to mitigate harmonic pollution in an electrical network. The heart of the SAPF operation is the current control technique. The choice of current control techniques significantly impacts the SAPF performance. As a result, a Hybrid One-Cycle-PI Control (HOCPIC) is proposed to work as a single-phase SAPF's current controller. The HOCPIC utilises a Proportional-Integral (PI) controller to minimise the error signal. As a result, the THD value of the supply current is reduced to 3.20% using the SAPF-based HOCPIC compared to 3.99% when using the SAPF-based OCC. The result proves that the SAPF-based HOCPIC performs better in compensating harmonic currents than the SAPF-based OCC.
Cubature Kalman Optimizer: A Novel Metaheuristic Algorithm for Solving Numerical Optimization Problems
Authors: Zulkifli Musa  , Zuwairie Ibrahim  , Mohd Ibrahim Shapiai  , Yusei Tsuboi
Published: October 2023

This study introduces a new single-agent metaheuristic algorithm, named cubature Kalman optimizer (CKO). The CKO is inspired by the estimation ability of the cubature Kalman filter (CKF). In control system, the CKF algorithm is used to estimate the true value of a hidden quantity from an observation signal that contain an uncertainty. As an optimizer, the CKO agent works as individual CKF to estimate an optimal or a near-optimal solution. The agent performs four main tasks: solution prediction, measurement prediction, and solution update phases, which are adopted from the CKF. The proposed CKO is validated on CEC 2014 test suite on 30 benchmark functions. To further validate the performance, the proposed CKO is compared with well-known algorithms, including single-agent finite impulse response optimizer (SAFIRO), single-solution simulated Kalman filter (ssSKF), simulated Kalman filter (SKF), asynchronous simulated Kalman filter (ASKF), particle swarm optimization algorithm (PSO), genetic algorithm (GA), grey wolf optimization algorithm (GWO), and black hole algorithm (BH). Friedman's test for multiple algorithm comparison with 5% of significant level shows that the CKO offers better performance than the benchmark algorithms.
Lean-BIM Collaborative Approach for Sustainable Construction Projects in Malaysia
Authors: Noor Akmal Adillah Ismail  , Ilya Sufaira Hasbullah  , Mohd Amizan Mohamed  , Mohd Arif Marhani  , Raja Rafidah Raja Muhammad Rooshdi  , Shaza Rina Sahamir  , Hamed Golizadeh
Published: October 2023

Construction projects always deal with high-risk business activities, facing constant errors, and producing unwanted waste, leading to low productivity and sustainability. Lean Construction (LC) and Building Information Modelling (BIM) approaches have been recognized to resolve those issues. The implementation of both technologies is becoming popular amongst industry practitioners across the globe, claiming that they could also address the sustainability concerns in the construction industry. However, the usage of both innovations is fragmented, mainly, with their tools and processes being manipulated separately. Therefore, this paper aims to explore Lean-BIM collaborative approach towards establishing more sustainable construction projects, focusing on the Malaysian construction industry. The objectives of this paper are to identify the impacts of Lean-BIM collaborative approach on sustainability and to determine its capabilities in impacting the sustainability requirements for construction projects. This study conducted a survey by questionnaire in which 100 responses were successfully gathered from various stakeholders. Using Relative Importance Index (RII) of Statistical Product and Service Solutions (SPSS) software, the surveyed results were ranked concerning Lean-BIM impacts and capabilities. The findings acknowledged that the most-ranked Lean-BIM impacts towards sustainability in construction projects are in terms of productivity, quality, and safety and risks management. Whereas the highest-ranked Lean-BIM capabilities highlighted are Lean pull planning approaches, and BIM coordination and virtual mock-up. This paper could assist the construction practitioners’ decision-making in managing sustainability for construction projects to venture competently into Lean-BIM innovation.
Modelling Intraocular Lens Design Based on Image Analysis
Authors: Wan Anis Mardhiah Wan Mohd Fadlah  , Mohd Zulfaezal Che Azemin  , Mohd Izzuddin Mohd Tamrin  , Mohamed Jalaldeen Mohamed Razi
Published: October 2023

Intraocular lenses (IOLs) are commonly used to treat ocular diseases such as cataracts. The International Organization for Standardization (ISO 11979) recommends examining IOLs using real model eyes with the lenses in situ, although this process can also be simulated in silico with an accurate IOL haptic design. One way to create this design is by using software such as Abaqus, which generates a finite element mesh configuration with a linear element set up and directly tests it in the model eye using the same program. While this process is like those reported in other studies and includes most of the software necessary for generating the result automatically, there is an alternative method for generating the IOL haptic design — microscopic image analysis. The purpose of this study was to evaluate the image quality of IOL using microscopic analysis. Several IOL images were captured using a microscope and the converted into vector images and the steps were repeated after two weeks. The structural changes in the images were measured using the Structural Similarity Index Measure (SSIM). All the tested IOLs have SSIM values greater than 0.7. The greatest value was extracted from the simplest IOL shape design. Our result suggests that image analysis for IOL modelling is a reliable method and best for simple IOL shape design.
Genç Boks Sporcularına Uygulanan 10 Haftalık Bosu Topu Egzersizi Eğitiminin Statik Dengeye Etkisinin Araştırılması
Authors: ERİŞ Fatih , ÇAKIR Ergün , SARGIN Kemal , ÇAVUŞOĞLU İbrahim , AKYÜREK DENİZ Nida , HAYKIR Furkan
Published: October 2023

Bu çalışma ile 20 erkek ergen boks sporcusuna uygulanan 10 haftalık bosuball egzersiz eğitiminin statik dengeye etkisinin incelenmesi amaçlanmıştır. Çalışmamıza aktif olarak boks sporunu uygulayan ergenler dahil edilmiştir. Çalışmamızın örneklemini Antrenman planına uygun olarak haftalık 7 saat üzeri (4-5 birim) antrenman yapan deneklerden oluşturuldu. Çalışmaya katılan denekler 2 gruba ayrıldı. Birinci grupta 10 genç boksör bosu topu egzersizleri ve (4-5 birim) boks antrenmanı, ikinci grupta 10 genç boksör sadece (4-5 birim) boks antrenman uygulandı. Çalışma haftalık en az 7 saat olmak üzere toplamda 10 hafta devam ettirildi. Çalışmaya katılan deneklerden ve kontrol gruplarından egzersiz periyodu öncesi ve sonrasında boy, vücut ağırlığı, BKİ ve statik denge ölçümleri alındı. Denek grubuna uygulanan denge eğitimi ile ilgili ilk iki hafta boyunca çalışma detaylı olarak anlatıldı. Bu sayede denek grubunun bosu topu denge egzersiz eğitimi konusunda deneyim kazanarak uygulanan antrenmanın genel anlamda antrenman bilimi açısından verimli olması sağlandı. Elde edilen verilerin değerlendirilmesinde SPSS 22 paket programı kullanılmıştır. Analiz sürecinde katılımcıların betimleyici istatistiklerde aritmetik ortalama, standart sapma ve katılımcıların verilerinin normallik dağılımı için Shapiro wilk testi kullanılmıştır. Verilerin Normal dağılım sağlanmadığından dolayı grup içi karşılaştırma wilcoxon t testi, gruplar arası Mann Whitney u testi kullanılmış, guruplar arasında anlamlı bir fark bulunamamıştır (p
Takım Sporcularının Mental İyi Oluş Düzeyleri İle Şiddet Eğilimleri Arasındaki İlişki
Authors: KARAKAŞ Fatih , ACAR Kürşat
Published: October 2023

Bu araştırmanın amacı takım sporcularının mental iyi oluş düzeyleri ile şiddet eğilimleri arasındaki ilişkinin incelenmesidir. Araştırmanın örneklem grubunu 2022-2023 sezonlarında basit tesadüfi örnekleme yöntemiyle seçilen, 558 müsabık sporcu oluşturmaktadır. Araştırmada veri toplama aracı olarak “Kişisel Bilgi Formu”, “ Warwick-Edinburg Mental İyi Oluş Ölçeği (WEMİOÖ)” ve “ Takım Sporlarında Şiddet Eğilimi Ölçeği (TSŞEÖ)” kullanılmıştır. Ölçekten elde edilen puanlar için ikili karşılaştırmalarda; Mann Whitney U testi, çoklu karşılaştırmalarda; Kruskal Wallis H testi, TSŞEÖ’nün alt boyutları ile WEMİOÖ’nün arasındaki ilişki ise Pearson korelasyon testi ile analiz edilmiştir. Araştırma grubunun “WEMİOÖ” ve “TSŞEÖ” alt boyut puan ortalamalarında cinsiyet, yaş, spor yaşı, spor dalı, aylık gelir değişkenlerinde istatistiksel olarak anlamlı farklılıklar bulunmuştur (p
Antrenörlerin Dijital Vatandaşlık ile Dijital Okuryazarlık Düzeyleri Arasındaki İlişkinin İncelenmesi
Authors: ENGÜR Mustafa , GÜRGEN Okan , DEMİRAY Erdinç , UNUTMAZ Volkan
Published: October 2023

Günümüzde bilişim ve internet teknolojilerinde yaşanan gelişmeler birçok alışkanlığımızın değişmesine neden olabilmektedir. Özellikle pandemi kısıtlamalarının bu değişimi hızlandırdığı, internet uygulamaları hayatımızın her alanını etkilediği gibi spor faaliyetlerinde de etkide bulunduğu değerlendirilebilir . Bu araştırmanın amacı, antrenörlerin dijital vatandaşlık ile dijital okuryazarlık düzeyleri arasındaki ilişkinin belirlenmesidir. Araştırmanın örneklemini, İzmir’de antrenörlük belgesine sahip olan futbol, basketbol, voleybol, atletizm, tenis, yüzme, fitness, jimnastik ve satranç branşlarında 736 antrenör oluşturmaktadır. Araştırmada veri toplama aracı olarak, araştırmacı tarafından geliştirilen “Kişisel Bilgi Formu”, Kuş vd. (2017) tarafından geliştirilen “Dijital Vatandaşlık Ölçeği” ve Ng (2012) tarafından geliştirilen, Üstündağ vd. (2017) tarafından Türkçe’ye uyarlanan “Dijital Okuryazarlık Ölçeği” kullanılmıştır. Toplanan veriler betimsel ve ilişkisel tarama tekniği kullanılarak analiz edilmiştir. Araştırmada elde edilen bulgularda; Antrenörlerin dijital okuryazarlık puanları ile dijital vatandaşlık toplam puanları, dijital hak ve sorumluluk, dijital katılım, dijital beceriler, etik ve dijital ticaret puanları arasındaki istatistiksel ilişkinin anlamlı, pozitif yönlü ve orta düzeyde olduğu görülmektedir (p=,000; p
Groundwater Diversity across New Zealand: From micro to macro-scale
Authors: Weaver Louise , Webber Judith , Abraham Phil , Bolton Annette , Sitthirit Panan , Close Murray
Published: October 2023

Groundwater is home to a diverse range of organisms, both small and large, which form a complex ecosystem that helps to purify the water and keep it flowing smoothly. However, much of the processes that occur in this ecosystem are still a mystery and there are many important services that we have yet to fully understand.

Our goal is to create a groundwater health index that can be used to monitor the health of groundwater, similar to the macroinvertebrate community index used for surface water systems. We are investigating both the macroinvertebrates and microbial diversity in our research. To gather data, we are collecting groundwater environmental (e)DNA samples and biofilm samples using in-situ biofilm bags from various sites in New Zealand across multiple seasons. We then analyze the water chemistry and sequence data for bacteria, archaea, eukaryotes, and fungi to determine the status of the groundwater source.

Our findings show that there is a complex diversity present in both the groundwater itself (e.g., Fig. 1) and the attached microbial biofilm. We have also discovered variations between the attached and groundwater across all sites studied, with significant differences in the Shannon richness indicator in Canterbury. Additionally, we have observed differences in microbial populations depending on the lithology and water chemistry present.

Our research aims to identify key species, both micro and macro, that can potentially act as a tool for predicting the health of groundwater. Furthermore, understanding the biological processes occurring in our groundwater may lead to the discovery of beneficial organisms capable of remediation.
Black gold rush - Evaluating the efficiency of the Fractionator in separating Hymenoptera families in a meadow ecosystem over a two week period
Authors: Haas-Renninger Maura , Schwabe Noa , Moser Marina , Krogmann Lars
Published: October 2023

In the face of insect decline, monitoring projects are launched widely to assess trends of insect populations. Collecting over long time periods results in large numbers of samples with thousands of individuals that are often just stored in freezers waiting to be further processed. As the time-consuming process of sorting and identifying specimens prevents taxonomists from working on mass samples, important information on species composition remains unknown and taxonomically neglected species remain undiagnosed. Size fractioning of bulk samples can improve sample handling and, thus, can help to overcome the taxonomic impediment. In this paper, we evaluate the efficiency of the fractionator in separating Hymenoptera families from a Malaise trap sample of a meadow ecosystem over a two week interval to make them available for further morphological identification. The fractionator system by Buffington and Gates (2008) was used to separate the sample in two size classes – a large (macro) and a small (micro) fraction – and Hymenoptera specimens were then counted and identified on family level. In total, 2,449 Hymenoptera specimens were found in the macro fraction and 3,016 in the micro fraction (5,465 specimens in total). For 24 out of 34 Hymenoptera families (71%), separation was significant. This study illustrates the efficiency of the fractionator and its potential to improve workflows dealing with specimen-rich Malaise trap samples.
A new species of Mollinedia (Monimiaceae, Laurales) from the Quadrilátero Ferrífero, Brazil
Authors: Zavatin Danilo Alvarenga , Ramos Renato , Watanabe Mauricio Takashi Coutinho , Pedrosa Luciano Gonçalves , de Lírio Elton John
Published: October 2023

Monimiaceae comprises approximately 26 genera and 250 species, with a pantropical distribution, predominantly occurring in humid forests. In Brazil, it is represented by five genera and 47 species, most of which are found in the Atlantic Forest, particularly in dense ombrophilous forest. Nevertheless, studies on this family in other biomes and vegetation types in Brazil are still scarce. The Quadrilátero Ferrífero (QF), a region located in the state of Minas Gerais, exhibits high plant species richness and endemism. During collections and analysis of herbarium materials from this region, some specimens of Mollinedia caught our attention due to a combination of characteristics that do not match those of any described species within the genus. For this reason, we describe this new taxon and assess its risk of extinction. Additionally, we review the occurrences of Monimiaceae in the QF and provide maps of its geographical distribution. With the description of this new species, the region now hosts eight species of Monimiaceae, two from the genus Macropeplus and six from Mollinedia. The new species is the first endemic species of the Monimiaceae family to be described in the QF. Concerning the extinction risk assessment, the new species was assessed as critically endangered.
Effect of postnatal environmental enrichment on LTP induction in the CA1 area of hippocampus of prenatally traffic noise-stressed female rats
Authors: Aghighi Fatemeh , Salami Mahmoud , Talaei Sayyed Alireza
Published: October 2023

Early-life stress negatively alters mammalian brain programming. Environmental enrichment (EE) has beneficial effects on brain structure and function. This study aimed to evaluate the effects of postnatal environmental enrichment on long-term potentiation (LTP) induction in the hippocampal CA1 area of prenatally stressed female rats. The pregnant Wistar rats were housed in a standard animal room and exposed to traffic noise stress 2 hours/day during the third week of pregnancy. Their offspring either remained intact (ST) or received enrichment (SE) for a month starting from postnatal day 21. The control groups either remained intact (CO) or received enrichment (CE). Basic field excitatory post-synaptic potentials (fEPSPs) were recorded in the CA1 area; then, LTP was induced by high-frequency stimulation. Finally, the serum levels of corticosterone were measured. Our results showed that while the prenatal noise stress decreased the baseline responses of the ST rats when compared to the control rats (P < 0.001), the postnatal EE increased the fEPSPs of both the CE and SE animals when compared to the respective controls. Additionally, high-frequency stimulation (HFS) induced LTP in the fEPSPs of the CO rats (P < 0.001) and failed to induce LTP in the fEPSPs of the ST animals. The enriched condition caused increased potentiation of post-HFS responses in the controls (P < 0.001) and restored the disrupted synaptic plasticity of the CA1 area in the prenatally stressed rats. Likewise, the postnatal EE decreased the elevated serum corticosterone of prenatally stressed offspring (P < 0.001). In conclusion, the postnatal EE restored the stress induced impairment of synaptic plasticity in rats' female offspring.
The Influence of Pipe Thickness on the Quality of Welded Joints
Authors: Minh Pham Son , Le Minh-Tai , Son Ho Ngoc
Published: October 2023

In this article, we aim to investigate the effect of pipe thickness on the deformation of welded joints in tubular structures. To this end, pipes with a diameter of 60 mm and a length of 215 mm will be utilized in both simulation and experimental processes. The Tungsten Inert Gas (TIG) welding method, known for its high-quality welds, will be employed to join the two steel pipes. The study will be conducted with four different pipe thicknesses: 2.5 mm, 3.2 mm, 4.0 mm, and 5.2 mm, to cover a wide range of thicknesses commonly used in industrial applications. In addition, to validate the accuracy of the simulation method, experimental tests will be carried out for selected simulated cases. The results of the study indicate that structures with thinner pipe walls exhibit higher residual temperatures and stresses, which leads to more deformation. Therefore, it is crucial to consider the pipe thickness when designing and welding tubular structures. After comparing the deformation results obtained from both simulation and experimental tests, we conclude that the simulation method is an effective tool for predicting the deformation of welded joints in tubular structures. By utilizing simulation methods, engineers can optimize the welding parameters and select the appropriate pipe thickness to minimize deformation and ensure the structural integrity of tubular structures.