bluuebunny/crossref_metadata_2025 huggingface dataset:
Membangun Kepuasan Konsumen Melalui Kualitas Pelayanan Dan Kualitas Produk Pada Usaha Konveksi Alfira Di Bogor
Authors: Kasmad Kasmad , Fauziah Sri
Published: August 2023

Tujuan. Penelitian ini bertujuan untuk mengetahui Pengaruh Kualitas Pelayanan dan Kualitas Produk terhadap Kepuasan Konsumen pada Usaha Konveksi Alfira di Bogor.Metode. Metode penelitian yang digunakan adalah metode Asosiatif Kuantitatif. Populasi dalam penelitian ini konsumen Konveksi Alfira pada tahun 2021 sebanyak 255 orang. Teknik sampling menggunakan teknik Simple random sampling dengan menggunakan rumus slovin yang menghasil sampel berjumlah 72 orang sebagai responden. Metode pengumpulan data observasi dan kuesioner. Metode analisis data yang digunakan uji validitas, uji reliabilitas, uji regresi linier sederhana dan ganda, uji koefisien korelasi (R), uji determinasi (R Square), dan uji hipotesis (uji F dan uji t).Hasil. Kualitas Pelayanan secara parsial berpengaruh signifikan terhadap Kepuasan Konsumen dengan persamaan regresi Y=3,401+0,626X1 dan kontribusi pengaruh sebesar 69,2%, uji hipotesis diperoleh nilai t_hitung>  t_tabel atau (6,313 > 1,995). Kualitas Produk secara parsial berpengaruh signifikan terhadap Kepuasan Konsumen dengan persamaan regresi Y=3,623+0,409X2 dan kontribusi pengaruh sebesar 57,1%, uji hipotesis diperoleh nilai t_hitung>  t_tabel atau (3,010 > 1,995). Kualitas Pelayanan dan Kualitas Produk secara simultan berpengaruh signifikan terhadap Kepuasan Konsumen  dengan persamaan regresi Y = 1.145 + 0,460X1 + 0,158X2  dan kontribusi pengaruh sebesar 72,8%, uji hipotesis diperoleh nilai F_hitung > F_tabel atau (92,251 > 3,130).Implikasi. Untuk mempertahankan kepuasan konsumen pada Usaha Konveksi Alfira di Bogor perlu adanya usaha mengadakan perbaikan meningkatkan kepuasan konsumen pada variabel Kualitas produk dan kualitas Pelayanan. Dengan upaya meningkatkan kepuasan konsumen diharapkan kepuasan konsumen akan semakin meningkat.
Pemanfaatan Blockchain dalam Konsep Sistem Rantai Pasok Pangan Halal: Studi Eksplorasi
Authors: Rahmawati Mia Ika , Subardjo Anang
Published: August 2023

Tujuan. Penelitian ini bertujuan untuk mengeksplorasi dua isu utama penelitian yaitu: (1) kegunaan dan peluang, serta (2) konsep penerapan aplikasi blockchain pada sistem rantai pasok pangan halal.Metode. Penelitian ini menggunakan pendekatan kualiatitatif dengan metode studi eksplorasi. Pengumpulan data dilakukan dengan kajian literatur, analisa data dengan mentemakan data penelitian yang menghasilkan rekomendasi Sistem Pasok Pangan Halal dengan Teknologi Blockchain.Hasil. Penelitian ini menghasilkan dua tema penelitian yaitu: (1) Manfaat dan Kegunaan Teknologi Blockchain pada Sistem Rantai Pasok Pangan Halal menghasilkan dua manfaat dan kegunaan yaitu transparansi dan aman serta efektifitas proses bisnis sistem rantai pasok pangan halan dengan blockchain. Hasil penelitian yang (2) adalah rekomendasi atas konsep penerapan aplikasi blockchain pada sistem rantai pasok pangan halal.Implikasi. Konsep sistem rantai pasok pangan halal berbasis blockchain sangat penting bagi para pemangku kepentingan yang menginginkan integrasi, dan transparansi sesuai persyaratan dari LPPOM MUI. Sehingga pangan halal yang dikonsumsi oleh konsumen bebas kontaminasi di sepanjang rantai pasokan.
Efek Mediasi Financial Distress Pada Pengaruh Leverage Terhadap Audit Delay
Authors: Limbong Diamond , Astriwati Astriwati
Published: August 2023

Tujuan. Penelitian ini bertujuan menguji peran financial distress dalam memediasi hubungan leverage yang diproksikan melalui debt to equity ratio terhadap audit delay pada perusahaan pertambangan yang terdaftar di Bursa Efek Indonesia Tahun 2018-2021.Metode. Populasi penelitian ini adalah laporan keuangan pada 48 perusahaan pertambangan yang aktif selama 4 tahun. Penentuan sampel menggunakan metode purposive sampling dengan jumlah sampel yang memenuhi syarat sebanyak 37 sampel. Penelitian ini merupakan penelitian deskritif kuantitatif dengan menggunakan data sekunder berupa laporan keuangan perusahaan selama periode penelitian. Teknik analisis data menggunakan regresi linear berganda menggunakan IBM SPSS dan analisis sobel test untuk mengetahui peran financial distress dalam memediasi hubungan leverage terhadap audit delay.Hasil. Variabel leverage berpengaruh negatif signifikan terhadap financial distress, untuk variabel financial distress berpengaruh negatif signifikan terhadap audit delay, sedangkan variabel leverage berpengaruh positif signifikan terhadap audit delay, uji moderasi menunjukkan bahwa financial distress mampu memediasi hubungan leverage terhadap audit delay.Implikasi. Bagi perusahaan diharapkan dapat menurunkan debt to equty ratio dengan meningkatkan modal sendiri sehingga menurunkan kemungkinan terjadinya financial distress perusahaan, karena semakin baik kondisi keuangan perusahaan akan mempercepat proses penyajian laporan audit yang berguna bagi perusahaan dalam pengambilan keputusan.
Memprediksi kebangkrutan menggunakan Altman Z-Score pada perusahaan manufaktur sektor makanan dan minuman
Authors: Putri Mega Amalia , Maulana Haikal Zulian
Published: August 2023

Penelitian bertujuan untuk mengetahui potensi kebangkrutan perusahaan manufaktur sektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia periode 2019-2021. Digunakan 16 sampel perusahaan manufaktur sektor makanan dan minuman. Dalam penelitian ini digunakan jenis penelitian kuantatif. Data yang digunakan adalah data sekunder dari laporan keuangan tahunan perusahaan go public. Penelitian ini menggunakan teknis analisis Altman Z-Score. Hasil perhitungan menunjukkan bahwa terdapat 11 perusahaan yang  berada pada kondisi sehat, yaitu AISA (2021), CAMP (2019-2021), CEKA (2019-2021), CLEO (2021), DLTA (2019-2021), ICBP (2019), HOKI (2019-2020), MLBI (2019), MYOR (2020), STTP (2019-2020), dan ULTJ (2019). Selanjutnya,  terdapat 10 perusahaan yang mengalami greyrea, yaitu AISA (2020), CLEO (2019-2020), GOOD (2019-2021), HOKI (2021), MLBI (2020-2021), MYOR (2019 dan 2021), ROTI (2019-2021), SKBM (2019-2021), SKLT (2019-2021), dan ULTJ (2020-2021).  Selain itu,  terdapat 3 perusahaan yang mengalami kebangkrutan, yaitu AISA (2021), ICBP (2020-2021), dan INDF (2019-2021).
Pengaruh earning per share dan return on equity terhadap harga saham Infobank15
Authors: Nurtrifani Risma , Kusumawardani Mawar Ratih
Published: August 2023

Tujuan dari penelitian untuk mengetahui pengaruh Earning Per Share dan Return On Equity terhadap harga saham perbankan yang terdaftar di Bursa Efek Indonesia Tahun 2018-2021 (Studi empiris pada Infobank15). Jenis penelitian adalah penelitian kuantitatif. Teknik pengambilan sampel dalam penelitian ini adalah teknik purposive sampling. Sampel dalam penelitian ini adalah 36 laporan keuangan perbankan yang terdaftar di Bursa Efek Indonesia yang masuk di Infobank15 tahun 2018-2021 yang selama periode tahun tersebut maksimal out satu kali. Penelitian ini menggunakan data sekunder yaitu laporan keuangan tahunan. Teknik analisis menggunakan analisis regresi data panel. Hasil penelitian menunjukkan bahwa Earning Per Share berpengaruh negatif tidak signifikan terhadap harga saham, Return On Equity berpengaruh positifsignifikan terhadap harga saham, dan Earning Per Share dan Return On Equity secara simultan berpengaruh terhadap harga saham. Semakin tinggi Return On Equity menunjukkan bahwa perusahaan tersebut mampu untuk menghasilkan keuntungan yang tinggi dari ekuitas perusahaan sehingga dapat menarik minat investor dan membuat harga saham perusahaan naik. Meskipun Earning Per Share tidak berpengaruh secara signifikan terhadap harga saham, bukan berarti Earning Per Share tidak penting untuk dipertimbangkan dalam melihat kemampuan suatu perusahaan, sebab secara simultan Earning Per Share dan Return On Equity berpengaruh terhadap harga saham.
Assessing the Isfahan Hospitals based on the World Health Organization's Age-Friendly Hospital Model: A Mixed Method Study
Authors:   Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran., Tajvar Maryam , Torabi Maryam ,   Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran., Dargahi Hossein ,   Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran., Atashbahar Omolbanin ,   Department of Public Health, Sirjan School of Medical Sciences, Sirjan, Iran., Sajadi Haniye Sadat ,   Knowledge Utilization Research Center, University Research and Development Center, Tehran University of Medical Sciences, Tehran, Iran.
Published: August 2023

Objectives The rapid growth of the elderly population requires the design of age-friendly healthcare systems to respond to the complex needs of the elderly. This study aims to assess the hospitals in Isfahan, Iran based on the age-friendly primary health care centers criteria and identify challenges. Methods & Materials This cross-sequential study was conducted in two phases in 2020-2021. First, using the checklist of Ahmadi et al.’ study, the teaching hospitals in Isfahan were assessed based on the age-friendly primary health care centers criteria. The checklists were completed by observation and based on the opinions of the experts. Data analysis was done in SPSS software, version 26 using descriptive statistics and Pearson correlation test. Qualitative data were collected through a semi-structured interview and were analyzed using Conventional content analysis method. Results Most of the hospitals were in good conditions in terms of physical environment, sanitary facilities, and signboards. The lowest scores were related to the areas of admission and payment, appointments, accessibility, and inpatient services. The mean age-friendly score of hospitals was 51.7 out of 100. There was no significant relationship between the characteristics of hospitals (type of ownership, type of activity, specialty, number of beds, bed occupancy rate, degree of accreditation, and manager’s study field) and their age-friendly scores. We identified 9 themes and 27 sub-themes related to challenges of being age-friendly in the hospitals. Conclusion The hospitals in Isfahan have many shortcomings in being age-friendly. Promoting the expertise of geriatric medicine and geriatric nursing, designing a special queuing system for the elderly, considering a special administrator for the elderly in different departments, reducing the costs of treatment for the elderly, promoting consultation/examination/treatment/follow-up programs for the elderly with an emphasis on upstream documents and cooperation between different departments, empowering employees, upgrading physical infrastructure can help solve existing challenges.
E-Business Churn Prediction Model Using Machine Learning
Authors: Ayyapureddi Siva Sai Rupesh  , Advin Manhar
Published: August 2023

Businesses need to keep their clients in the present competitive environment in order to remain in the market. To achieve this, they must anticipate customer attrition and take proactive steps to keep clients. In this research, we offer a model for predicting customer churn based on machine learning that can forecast the probability of consumers leaving with accuracy. To anticipate customer turnover, we employ a variety of machine learning techniques, including logistic regression, random forest, and support vector machines. To assess the effectiveness of our methodology, we additionally employ a number of assessment measures. Our findings show that the suggested model works better than the current models and can aid companies in keeping consumers.
Keywords : Machine learning, Logistic Regression, Random Forest, and Customer Churn Customer retention, classification, e-business churn forecast, accuracy, precision, recall, F1-score, Log loss, ROC AUC, calibration loss, cost matrix gain
Analysis of Human Diseases using Artificial Neural Network and Blockchain Technology
Authors: Ali Mir Arif Mir Asif
Published: August 2023

With the development of engineering technology and artificial neural network which mimic human brain neural networks, are being using in medical diagnosis for various human diseases. The purpose of this paper is to investigate and study various diseases using neural network and blockchain technology used in medical diagnosis. Emerging technologies like artificial Neural Network and Blockchain Technology are revolutionizing the existing healthcare infrastructure, which is a difficult task to securely and accurately forecast different diseases in Human being. Blockchain and ML are providing the best solutions to gather information while predicting and securing human disease. This study provides comprehensive reviews on different Artificial Neural Network techniques, Radial Basis Function (RBF), Generalized Regression Neural Network (GRNN), Support Vector Machine (SVM), Feedforward Backprogation Neural Network (FFBP), Convolutional Neural Network (CNN), in order to predict various human diseases. Artificial Neural Network, in addition to its strengths, may assist in overcoming many of the restrictions that Blockchain Technology base systems used in medical diagnosis of various diseases. These two technologies when combined can produce high performing and valuable solutions. In this manuscript, Blockchain Technology and how machine learning skills can be combined with a blockchain based systems are studied.
Emotional Analysis using Deep Learning
Authors: D. Hari Krishna  , Kottada Rakesh  , Abhishek Kaveli  , Kamsani Karthikeya  , Maladoddi Pavan Kalyan
Published: August 2023

Emotions are mental states that accompany physiological changes in the face, resulting in facial expressions. Sympathy, anger, worry, joy, fright, and other significant emotions are a few examples. Facial expressions play a significant role in non-verbal communication because they encapsulate a person's emotions. There has been a great deal of research done on computer modelling of human emotions. Computer modelling of human emotions has been made possible by computer technology. However, it is still in its infancy. The authors attempted to overcome limitations and create new opportunities as well as gain a better understanding and implement this simple form of human interaction in proposed computer-aided world. It has been made possible to evaluate and interpret genuine facial expressions in real time thanks to new techniques for collecting facial expressions and quick, highresolution pictures. The FER (Facial Expression Recognition) method currently relies on motionless frames, which makes it very hard to recognize foreground from background in the absence of motion information. This study describes a real-time facial expression identification system that detects faces using HAAR cascading classification and classifies facial expressions using convolutional neural networks. The system utilizes a webcam to dynamically display emotion text and accurately categorizes seven major emotions, including anger, disgust, fear, happiness, sadness, surprise, and neutrality. Real-time facial expression recognition may be utilised in a number of real-world applications, including as airport security, trade, and medical monitoring.
Wireless Sensors in IoT Based Agriculture by Using Block Chain Technology and Drones System
Authors: K. Durga Charan  , Afreen Subuhi  , Potlacheruvu Archana  , Karnati Durga  , B. Kumara Swamy
Published: August 2023

The integration of cutting-edge technologies such as Wireless Sensors, the Internet of Things (IoT), Blockchain, and Drones in agriculture has the potential to revolutionize the industry. This paper explores the application of these technologies in agriculture, focusing on the benefits they bring to the sector. We delve into the significance of Wireless Sensors, the IoT, Blockchain, and Drones in enhancing agricultural practices, resource management, data security, and overall productivity. We also examine the challenges and potential solutions for the widespread adoption of this integrated approach in agriculture.
A Survey on Various Approaches for Edge Detection
Authors: Saja Hikmat Dawood
Published: August 2023

Edge detection is a fundamental image processing technique used to spot sudden shifts in color or intensity in image. It is utilized to detect and highlight boundaries between various items or regions in image, as well as to detect features such as corners, circles and lines. Edge detection approaches typically work by applying a filter to an image to detect areas where the image undergoes an immediate shift in magnitude. Applications for edge detection techniques include recognizing objects, healthcare images, and background segmentation. Many techniques have been presented based on the classical approaches (such as Sobel, Prewitt, and Roberts, Canny, Laplacian of Gaussian (LOG), etc.) and soft computing approaches (SCA), which are the two main approaches for detection of edge. This paper provides an overview of studies carried out on edge detection using various approaches. That will assist brand-new researchers in learning about these techniques and selecting one from among them to evolve or improve according to their field of study.
IOT based Fire Detection System with Automatic and Manual Extinguishing System
Authors: A. Alban Santhosh  , R. K. A. Bhalaji  , A. Jason
Published: August 2023

A Novel fire extinguishing monitoring and control system is proposed in this paper. The system combines online monitoring of fire extinguishing information based on internet of things (IOT), early fire warning and alarm system with building safety evaluation, which are designed to acquiring the real-time information of fire extinguishing working condition, improving the reliable prediction mechanism in traditional fire monitoring system. A perception terminal based on IOT is developed and the fire real-time monitoring and control system is designed in this paper. The novel system can acquire the real-time working condition information of fire extinguishing facilities, such as pipe flow, pressure, temperature and humidity of the environment, current and voltage of the electric equipment, valve switch, relay action, alarming message, it can upload the collected data to the monitoring center through the (Client /Server) architecture. Based on these data, an electrical early fire warning model based on neural network is proposed. A fire safety evaluation model based on ontology with the usage of protege is established, which facilitate the on-line monitoring and control of building fire protection information, the prediction of electrical fire and improve building safety level evaluation.
A Study on Biometric Authentication Systems, Privacy Concerns and Mitigation Strategies
Authors: Tejas B. Sawant  , Waman R. Parulekar  , Tejas V. Joshi
Published: August 2023

Biometric authentication systems have gained significant attention in recent years as a secure and convenient means of verifying an individual's identity. These systems utilize unique biological and behavioural characteristics, such as fingerprints, facial features, iris patterns, and voice recognition, to authenticate users. While biometric authentication offers several advantages over traditional authentication methods, it also raises concerns regarding privacy and data security. This study aims to explore the landscape of biometric authentication systems, identify privacy concerns associated with their implementation, and propose effective mitigation strategies.
Survey on Different Morphology Detection Techniques
Authors: Ms. Swapnali R. Teli  , Prof. Prathmesh S. Powar
Published: August 2023

There is a lot of data traffic that translates and transports data in the digital environment of the World Wide Web. The data is presented as files and photos. Data can morph, so it's important to detect these instances. The suggested method will identify modified photographs and alert the user to the validity of the images. In recent years, the research community has paid a great deal of attention to the problem of morph attack detection. To accurately detect morph attacks, various studies have been done in this area and various methods have been used. Although enough morph images are not readily available for research purposes, a variety of face databases are used to create morph image databases. Attack detection via face morphing is difficult. Automated border control gates utilize both manual inspection and automatic categorization methods to identify morphing attacks. It is vital to comprehend how a machine learning system can recognise altered faces and the most pertinent facial regions.
Effect of Heating Time Variation in Green Synthesis of Copper Nanoparticles with Sweet Orange Juice (Citrus Sinensis) Bioreductor using Microwave Assisted Method
Authors: Inayah Mumpuni Budiati  , Ali Khumaeni  , Iis Nurhasanah
Published: August 2023

Inexpensive and environmentally friendly synthesis of copper oxide nanoparticles (CuO NPs) was produced using microwave-assisted green synthesis method. In this method, microwave (ME731K Solo with Ceramic enamel, 20 L) was used. the effect of time was examined to produce CuO NPs. Nanoparticles were produced when micro waves (800 watts) irradiated a solution of CuSO4.5H2O mixed with sweet orange extract (Citrus Sinensis). The fabricated CuO nanoparticles of C. Sinensis were further characterized by UV-Visible spectroscopy (UV-Vis). Fourier transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD). Time variation has been used in the preparation of CuO NPs. UV-Vis test showed the formation of CuO NPs at the absorbance peak around 270-300 nm. Time variation affects the wavelength shift and the absorbance level is an indication of the concentration of the amount of nanoparticles produced. FTIR spectra identified functional biomolecules from the nanoparticles at a wavelength of 618 nm. X-ray diffraction (XRD) analysis revealed the crystalline structure of the copper nanoparticles at 36°.
The analytic progress on biodiversity measures
Authors: Bogoni Juliano
Published: August 2023

Since the beginning of ecology as a formal science, ecologists have been intensely interested in understanding the diversity patterns and underlying mechanisms that forge diversity distribution across space and over time. Several facets of (bio)diversity were proposed to address the major conundrums in ecology, from simple taxonomic diversity to functional and phylogenetic diversity. In the biodiversity measure theatre, analytic approaches had rampant progress in the last decades, yet are still anchored in classic ecology concepts. In this brief remark, I aimed to provide insights on biodiversity measures techniques applied to ecology and conservation, especially by Latin-American mammalogists. Focusing on taxonomic, functional, and phylogenetic diversity, this remark itemised to briefly depict the status quo conceptual and analytic of biodiversity measures in ecology/conservation/mammalogy. To understand the diversity patterns — and further predict the underlying mechanisms — an agenda of research and alliances between scientists and students must be strengthened, which certainly will provide advances for Latin-American mammalogy. To do so, a vast majority of modern analysis (including some depicted here) depends on high computational capacity, typically concentrated in economically affluent regions and which urgently needs to be decentralized via institutional partnerships.
An observational study to evaluate weight gain of exclusively breastfed infants who feed only while sleeping
Authors: Mohammed MTP , Khalid Shahna
Published: August 2023

Background: We encountered infants in our outpatient department (OPD) who have been breastfeeding normally till 3–6 months of age and stopped feeding while awake without any obvious reason, and continued feeding during sleep. This causes much anxiety and concern to the mother and demands intervention. Objectives: The aim of the study was to compare the weight gain of infants who breastfeed only during sleep, with babies who feed normally. Materials and Methods: An observational study has been carried out in pediatric OPD, at Government Medical College Kannur. Totally 30 breastfeeding mothers were interviewed and data were entered in a proforma. Weight gain was taken from the growth chart beginning from birth to 6 months. Results: Among the 30 breastfeeding mothers interviewed, 12 of them had infants who started feeding only during sleep from around 3 to 4 months of age. On the assessment of growth and development among these infants, it was noted that they were comparable with the infants on exclusive breastfeeding without the problem. No failure to thrive or delayed development was noted in the study group as compared to normal. Conclusion: Growth and development was normally attained in infants who breastfeed only while sleeping. As this matter hasn’t been studied anywhere so far and is a cause for anxiety in mothers, it demands further research and study.
Leukemic gingival enlargement- A case report and review
Authors: Eyakshara S , Manoharan GV Murali Gopika
Published: August 2023

Oral signs are an early indicator for a variety of systemic diseases. Gingival enlargement can be due to local factors, certain medications, hormonal changes, and malignant diseases. Leukemia is a malignancy characterized by the proliferation of abnormal white blood cells within the bone marrow; oral changes may be the first and only presenting feature in these patients, making it imperative for dental surgeons to make accurate diagnosis and timely referral to prevent a fatal situation. This article aims to discuss a case of acute myeloid leukemia (AML) that came with the chief complaint of swollen gums for 2-month duration. The case was provisionally diagnosed as a leukemic gingival enlargement on the basis of oral manifestation and lymph node examination. Accurate diagnosis and early initiation of chemotherapy for leukemic gingival enlargement can improve the prognosis of the patient and also helps in avoiding complications. Around 50–80% of patients with AML achieve complete remission, more often in children and patients under the age of 60. This paper aims at emphasizing the importance of thorough oral examination and careful investigations to identify the underlying life-threatening condition.
Are breath-holding spells always innocuous: A case report
Authors: Paranjpe Mugdha , Sane Sudhir , Sharma Ratna
Published: August 2023

The diverse clinical manifestations of Langerhans cell histiocytosis (LCH) present a dilemma to clinicians and pediatricians play an important role in its diagnosis and multidisciplinary approach. LCH, previously known as histiocytosis X, is an uncommon hematological disorder characterized by uncontrolled stimulation and proliferation of normal antigen-presenting cells, Langerhans cells. The purpose of this report is to describe the case of a 7-month-old female child with multisystem involvement who presented with breath-holding spells and to discuss the clinical, radiological, and histopathological features of LCH.
Firm Behavior Under Conditions of Final Offer Arbitration: An Empirical Analysis of Major League Baseball’s Salary Negotiation Structure
Authors: Brown Jonathan R.
Published: August 2023

Abstract: This paper explores the use of final offer interest arbitration (FOA) in Major League Baseball (MLB) and whether arbitrated salaries differ meaningfully from private settlements. MLB provides an excellent environment to analyze FOA because it is common practice for eligible players and their teams to announce official intended arbitration figures well in advance of hearings but ultimately privately negotiate a contract in the interim. This allows for consideration of the bounded arbitrated salary environment even when a hearing is avoided. Results reaffirm the findings of Burgess and Marburger (1993), which suggested that arbitrated salaries are of “low quality” in that the distribution range is wider for arbitration compared to private negotiation. Second, this paper contributes to existing literature by expanding analysis to including quantile regression, which indicates that not only is contract length positively correlated with players’ salaries but also statistically significant differences in this effect exist throughout the distribution.
THE CONTENT AND DISTRIBUTION OF HEAVY METALS IN THE BOTTOM SEDIMENTS OF THE IVANKOVO RESERVOIR PLES
Authors: Tolkachev Gleb , Ilyina Tamara , Abakumova Natalia , Rodkina Irina
Published: August 2023

Currently, the state of water bodies under the influence of technogenic factors is changing, as a rule, for the worse. Studies of the sediments of reservoirs make it possible to identify unfavorable areas and determine the sources of pollution. From the point of view of technogenic pressure, the most dangerous pollutants are trace elements Hg, Cd, Zn, Pb, Cu, Cr, Co, Ni, Fe, Mn, As. The paper presents an assessment of sediments in various areas of the Ivan’kovo reservoir. The content of mobile forms of existence of the following microelements was determined: Cd, Cu, Pb, Zn, Cr, Ni and As. The results of studies of the contamination of bottom sediments by the total concentrations of mobile forms of microelements, estimated by geo-classes - by the contamination of the sorbing fraction (less than 0.02 mm) are presented. The main contaminants are cadmium and lead, which are estimated to be slightly to moderately polluted. A picture is presented of both contamination of the bottom sediments of the Ivan’kovo reservoir with microelements, and the distribution and correlation of their mobile forms of existence in the desired sediments. From the data obtained, it can be concluded that, despite a significant number of pollution sources, at present there is no need to talk about a dangerous load on the studied objects.
The Commodification of Women's Bodies in the Novel Maysuri by Nadjib Kartapati Z.: Sara Mills' Critical Discourse Analysis
Authors: Izzati Navira Aina , Syamsi Kastam
Published: August 2023

This study aims to reveal and describe the commodification of the woman's body in the novel Maysuri by Nadjib Kartapati Z. This research is qualitative research using Sara Mills' critical discourse analysis. This study observes subjects-objects and readers using reading and note-taking techniques. The research instrument is a human instrument. The data analysis technique was carried out using Sara Mills' critical discourse analysis. This research is centered on the female character in the Maysuri novel, namely Suryani. The results showed that 3 characters occupy the subject positions, 11 characters occupy the position of the object, and the reader's position consists of 11 data. These positions are divided into four discussions, namely commodification of the woman's body, economy and money politics, body control, and women's bodily autonomy.
The Effectiveness of Interpersonal Communication in Hybrid Learning-Based Learning at Universities
Authors: Ramdan Ahmad Taufiq Maulana , Lubis Ira Aryanti Rasyi
Published: August 2023

Online learning has changed so that the process of interaction and communication to convey learning material between students and students and students with other students becomes more effective; in this case, a learning innovation known as Hybrid Learning emerges. This study uses a qualitative method. The data used in this study are primary data and secondary data. The results of this study suggest that effective interpersonal communication helps students build better social skills, such as speaking in public or working in teams. These skills are critical in an increasingly open and collaborative work environment. Hybrid learning-based learning also facilitates the development of creativity in students. Through an open and flexible learning experience, students can gain the ability to think creatively and create new solutions to the problems they face.
Contextual Teaching and Learning Model in Durusu-l-Lugoh Subject for Grade 1 at TMI Pondok Pesantren Al-Basyariyah Bandung
Authors: Basyari Zen Anwar Saeful , Tarsono  , Furqon Zenal , Sunarya Ujang , Saputra Wahyu Andi
Published: August 2023

This article aims to describe the implementation of the Contextual Teaching and Learning (CTL) approach in Durusu-l-lugoh learning in grade 1 TMI Pondok Pesantren Al-Basyariyah Bandung; Durusu-l-lugoh subjects as Arabic lessons for beginners. In teaching the subject Durusu-l-lugoh, students are required to memorize some Arabic vocabulary and arrange it in a sentence. The CTL learning model is a learning model that demands teacher creativity in connecting vocabulary with Arabic sentences to help more easily understand the material. Descriptive qualitative research methods were used in this study. Data collecting techniques included interviews, field notes, and written records. Mathew Miles and A. Michael Hubermen's approaches for data analysis consist of three stages: information reduction, information presentation, and information drawing and checking (verification). The results of this study revealed that mahfudzot learning using the Contextual Teaching and Learning (CTL) model was good enough to be carried out from the provision of material to the application of Arabic as the daily language of students.
ECONOMIC EFFICIENCY OF SMALL-HOLDER WHEAT FARMERS AROUND HADEJIA VALLEY IRRIGATION SCHEME IN JIGAWA STATE, NIGERIA
Authors: ADELEKE E. A. , SANI R.M. , SANI M.H , MURTALA N , AHUNGWA G.T.
Published: August 2023

The study analyzed economic efficiency of small-holder wheat farmers around Hadejia Valley Irrigation scheme in Jigawa, State Nigeria. Multi-stages sampling procedure was used to select 346 wheat farmers from the study area. Data were collected with the aid of questionnaire. Both descriptive and inferential statistics were used to analyzed the data.  The stochastic frontier analysis results indicated that a unit increase in the use of land, fertilizer, labour and herbicide contributed to wheat output by 0.577, 0.341, 0.078 and 0.174 respectively. The predicted technical, allocative and economic efficiencies were 0.76, 0.32 and 0.24 respectively. This implies that wheat farmers were not fully efficient and output could have been increased by 24% and about 68% of cost would have been saved. Furthermore, tobit regression results revealed that age of the farmers positively affected technical (0.0012, p<0.10), allocative (0.0025, p<0.05) and economic (0.0023, p<0.01) efficiencies of wheat farmers’ production in the study area. The sex of the wheat farmers was significant (0.0472, p<0.05) and positively affecting wheat farmers technical efficiency. Education of the wheat farmers significantly (p<0.10) and negatively affected their technical (-0.0021) inefficiencies, access to extension service was influencing both technical (- 0.0223, p<0.10) and economic (- 0.0789, p<0.10) inefficiencies negatively. The study concluded that wheat farmers were not fully efficient and more output (24%) could be achieved with the same level of inputs as indicated by the increasing return to scale of 1.197. The study therefore, recommended that concerted efforts should be made towards training farmers on appropriate inputs combination by extension agents to   improve  and boost wheat production in the study area.
Establishing the causes of premature damage of steam turbine rotor blades of TPP
Authors: Solovei Petro , Student Oleksandra , Svirska Lesia , Kurnat Ivan , Krechkovska Sofiia , Gural Taras
Published: August 2023

The technical condition of the metal of the steam turbine blade was analyzed and the reasons for its fracture were established. It was shown that the relative elongation δ of the blade metal varied from 7.4 to 11.5%, and was lower than the regulated level. The low values of δ and the obtained values of the ratio between yield strength and ultimate tensile strength σYS / σUTS, which varied from 0.8 to 0.89, indicate a low margin of plasticity of the blade metal, which contributed to its cracking under the action of working loads. Metallographic analysis revealed pores in the surface-hardened layer of the blade. They caused low adhesion of the layer with the base metal of the blade, and also of crack initiation. The high stress concentration and the contact of the blade metal with the working medium contributed to the growth of a subcritical corrosion-fatigue crack in the cross-section up to its complete destruction.
Information technology platform for monitoring infectious diseases
Authors: Stanko Andrii
Published: August 2023

Research conducted to curb the spread of infectious diseases in cities confirms that technology is making a significant contribution. A significant number of scientific studies analyze the impact of technology on the covid-19 pandemic in various aspects. However, the problems associated with the implementation of monitoring systems based on the Internet of Things are not studied in depth, they are related to the design of systems, their implementation in everyday life. This research provides an up-to-date analysis of how technology is helping to fight infectious diseases. Along with this, we consider the main challenges faced by users of such technologies, namely: privacy, security, scalability, etc. As a result, we can say that related technologies have a significant impact on the detection, tracking and containment of viruses. The organization and movement of a person has a great influence on the frequency of contacts, which, as a result, affects the transmission, spread and persistence of disease-causing pathogens. The search for contact structures of infectious diseases in view of human mobility requires a clear consideration of the spatial and temporal dimensions of pathogen transmission, which depend on the type of pathogen and the method of its transmission, the number of contacts and location. A platform that can help collect and analyze data mainly depends on having access to accurate details about various factors. Therefore, obtaining information is of prime importance for the development of this kind of technological platform. Using advanced technologies and tools such as IoT, remote monitoring devices, GPS, artificial intelligence and data analytics, contact tracing programs can provide an extra layer of protection when it comes to monitoring and controlling people's lives and health. The proposed approach to ensure the effective implementation of the IT platform for monitoring infectious diseases, as well as the formed group of roles. This approach makes it easier to launch the platform, distributing work between assigned roles and reducing the burden on health care resources and other city services.
Structure formation and performance properties of modified gypsum and phosphogypsum binders
Authors: Dovbenko Tetiana , Dvorkin Leonid , Homon Sviatoslav
Published: August 2023

The structure formation of hardened samples of gypsum and phosphogypsum binders (with a complex of additives) is investigated by X-ray diffraction analysis and electron microscopy. The influence of additives-modifiers on the composition of curing products and on the morphology of the hydrate formation – CaSO4·2H2O – is determined. X-ray diffraction patterns and electron micrographs of hardened gypsum and phosphogypsum binders are shown.
Ležišta rožnjaka u Istri, Hrvatska. Izvori kamene sirovine prapovijesnih
zajednica na poluotoku
Authors: Šprem Katarina
Published: August 2023

Istarski poluotok bogat je mineralnim sirovinama, ponajprije karbonatnim i silicijskim sedimentnim stijenama koje su na ovom području neraskidivo povezane procesom koji se naziva silicifikacija. Silicijske sedimentne stijene (rožnjaci) zbog svoje su tvrdoće i školjkastog loma vrlo pogodne za izradu oruđa lomljenjem ili cijepanjem, stoga je znanje o ležištima ove vrste stijena bilo vrlo važno za prapovijesne zajednice u Istri. U ovom radu iznijet ćemo osnovne podatke o primarnim i sekundarnim ležištima rožnjaka na području hrvatskog dijela Istarskog poluotoka, vizualne i mehaničke karakteristike sakupljenih uzoraka, kao i mikropetrografske karakteristike određene pomoću binokularnog polarizacijskog mikroskopa. Iznijet ćemo podatke o geološkoj starosti stijene domaćina u kojima su zabilježeni rožnjaci. Spomenut ćemo terminološku problematiku u arheološkoj literaturi te postaviti pitanje istraživanja provenijencije istarskog rožnjaka, odnosno mogućnost raspoznavanja sirovine s različitih ležišta na poluotoku. Spomenut ćemo i arheološka nalazišta na kojima je zabilježena prisutnost istarske sirovine. Na nekim ležištima rožnjaka pronađene su i izrađevine, odnosno jezgre koje su služile za proizvodnju odbojaka ili sječiva, a koje su također dokumentirane.
La Inteligencia Artificial en la pedagogía como modelo de enseñanza
Authors: Núñez-Michuy Carlos Manuel , Agualongo-Chela Luis Marcial , Vistin Vistin Jair Manuel , López Quincha Martha
Published: August 2023

La Inteligencia Artificial (IA) en la educación tiene el potencial de mejorar la calidad del aprendizaje y la enseñanza, al permitir una mayor personalización y adaptación a las necesidades individuales de los estudiantes, aunque también existen desafíos y preocupaciones éticas asociadas con su uso. El objetivo de la investigación es explorar cómo la IA ha reformado las metodologías de enseñanza y aprendizaje en el ámbito pedagógico. Se realizaron búsquedas en bases de datos influyentes de Redalyc, Scielo, Scopus y WoS, en el período comprendido entre 2019 y junio de 2023. Se definieron criterios de inclusión y exclusión para orientar el proceso de búsqueda y procesamiento de la información. Los hallazgos indican que la IA puede personalizar la educación para cada estudiante, adaptando el ritmo y el contenido de la enseñanza a las necesidades individuales. Las herramientas tecnológicas innovadoras que están siendo utilizadas en la educación gracias a la IA incluyen chatbots, sistemas de recomendación, análisis de datos y aprendizaje automático, de esta forma, los desafíos y oportunidades que la IA presenta para la educación en el futuro incluyen la necesidad de una mayor inversión en tecnología y capacitación para los educadores, la preocupación por la privacidad y la seguridad de los datos, y la necesidad de equilibrar la automatización con la interacción humana. En conclusión, la IA tiene el potencial de transformar la educación y el aprendizaje, y puede beneficiar a los estudiantes de manera personalizada. Las herramientas tecnológicas innovadoras que están siendo utilizadas en la educación gracias a la IA incluyen chatbots, sistemas de recomendación, análisis de datos y aprendizaje automático.
УДОСКОНАЛЕННЯ МЕТОДОЛОГІЇ СМАРТИЗАЦІЇ УПРАВЛІННЯ РОЗВИТКОМ ТЕРИТОРІЙ
Authors: Трещов Мирослав , Хохба Олена
Published: August 2023

Статтю присвячено обґрунтуванню концептуального, методичного, інструментального рівнів методології смартизації управління розвитком територій в умовах децентралізації влади та перманентних криз (пандемія COVID-19, воєнний стан). Мінливість і агресивність зовнішнього середовища, нестійкий стан внутрішнього середовища створюють постійні кризові ситуації щодо розвитку територій, що зумовлює пошук нестандартних управлінських рішень. Серед ключових проблем смартрозвитку територій (як підсистеми місцевого самоврядування) найбільш гострими є нормативно-правового, кадрового, матеріально-технічного, інформаційного забезпечення, застосування нових управлінських механізмів і технологій, підвищення рівня застосування IT-технологій, зменшення невизначеності у постановці стратегічних питань тощо. Отже, зростає значення застосування концепції Smart City до управління системою забезпечення місцевого розвитку. Методологія об’єднує в собі науково-гносеологічні підходи та сучасні методи вирішення проблем, структуруючи дієвість механізмів їх вирішення. З огляду на визначені передумови узагальнено змістове наповнення рівнів методології, що спрямоване на ліквідацію її теоретико-інституційних прогалин і слабких місць в системі розвитку громад, серед яких такі: організаційно-функціональний механізм смартуправління розвитком територій створюється на основі формування проактивної позиції представників органів місцевого самоврядування та зацікавлених осіб (стейкхолдерів) в містах щодо їх розвитку; планування впровадження смартелементів в управлінські процеси ґрунтується на ресурсному та стратегічному підходах із визначенням наявних фінансових можливостей території; мотивація органів місцевого самоврядування, жителів і стейкхолдерів щодо розвитку громади ґрунтується на перспективі розвитку, забезпеченні добробуту і безпеки громадян через застосування сучасних інноваційних інструментів розвитку; контроль визначається специфічністю системи смартуправління розвитком територій.
ІНФОРМАЦІЙНИЙ ПРОСТІР ДЕРЖАВИ ТА ПРОБЛЕМИ ЗАБЕЗПЕЧЕННЯ ЙОГО ЗАХИСТУ В УКРАЇНІ
Authors: Глобенко Сергій
Published: August 2023

З урахуванням мінливого й швидко змінюваного середовища охарактеризовано основні підходи держави до забезпечення ефективної побудови та стабільного функціонування її інформаційного простору, що в нинішніх умовах набуває особливо важливого, концептуального значення. Досліджено проблематику державної політики в інформаційній сфері з акцентом на гарантуванні інформаційної безпеки, значний інтерес до якої продиктований сучасною суспільною дійсністю. Розглянуто погляди щодо забезпечення національної безпеки і оборони держави в умовах новітніх загроз і викликів в аспекті необхідності досягнення максимально можливої стійкості як окремих її складових, так і самої системи в цілому, що зумовлено складними умовами її нинішнього функціонування і потребою її подальшого збереження. Виокремлено особливості національного інформаційного простору та з’ясовано основні проблеми його подальшого розвитку з урахуванням забезпечення безпеки особи, суспільства, держави як одного із основоположних факторів функціонування механізму держави, який характеризується значним рівнем комплексності й багатоаспектності, що нині в умовах України потребує пошуку максимально ефективних управлінських рішень. Проаналізовано роль і місце України у загальносвітових рейтингах безпекових спроможностей у сфері захисту інформаційного простору, відповідних механізмів державного управління, а також основних чинників, які впливають на ці процеси. Узагальнено й систематизовано фактори формування державної системи інформаційної безпеки, напрями імплементації стратегічних планів та відповідних заходів з питань забезпечення безпеки в інформаційній сфері в умовах надзвичайних і кризових явищ, наведено теоретичні й прикладні аспекти перспектив подальшого розвитку інформаційного простору держави і забезпечення його захисту в умовах України.