bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Strategi Bisnis PT. Asuransi Jiwa Inhealth Indonesia
Authors: Chaira Retnofia , Lukman Syukri , Lukito Hendra
Published: October 2023

The purpose of this research is to analyze the business strategy of PT. Asuransi Jiwa Inhealth Indonesia. The research was carried out in an effort to identify the company's external and internal factors, and then determine a strategy using SWOT Analysis, Space Matrix and QSPM Matrix. The scope of research includes the external environment with PESTEL and the internal environment which consists of aspects that exist within the company. The population in this study are L3 and L2 managers at the service office level throughout Indonesia. The sample in this study used a purposive sample so that a sample of 5 managers and 2 people from external parties was obtained. data collection techniques by conducting interviews. The method used in this research is to use a comprehensive strategic management model. The results of the research based on the TOWS analysis obtained 16 alternative strategies that could be implemented by Mandiri Inhealth. The results of the IE analysis show that the point of intersection between the EFE and IFE analysis scores is in cell V which indicates the right alternative strategy implemented by the company, namely market penetration and product development. The results of the QSPM analysis on it can be concluded that the best strategy implemented by the company is a product development strategy with the highest total QSPM score (6.465). The limitations of this study are that it is based on corporate strategy regulations, uses SWOT analysis, IE Matrix and QSPM, only discusses Health Insurance products and does not use Business Model Canvas (BMC) analysis and also Focus Group Discussion (FGD). Suggestions for future researchers to add analysis using BMC and FGD between divisions so that planning and execution can run well according to the targets set.
Low Tuberculosis Screening among Household Family Members of Tuberculosis Patients in Banyuarang and Sidowarek
Authors: Farid Muhammad Rifqo Hafidzudin , Rananda Arif , Aflahudin Muhammad Ahda Naufal , Musalim Dian Anggraini Permatasari , Hariftyani Arisvia Sukma , Hanani Nadya Kelfinta , Rofiq Rodia Amanata , Aulia Shazia Hafazhah , Sidqoh Aida Badi’atus , Hewiz Alya Shafira
Published: October 2023

Early tuberculosis detection is vital, necessitating widespread screening. The WHO's End Tuberculosis strategy aims to combat this epidemic. Active screening is critical for identifying asymptomatic individuals at risk. Data from Pulorejo Primary Health Center, Jombang, indicates a low 10% coverage of suspected cases in 2021, particularly among household contacts, resulting in continued transmission, late detection, post-treatment symptoms, and even death. Therefore, this study was conducted to determine the number of screening participation of households of tuberculosis patients in Banyuarang and Sidowarek Village. This research is a descriptive observational. The data collected was primary data from questionnaires. The study population consisted of households of tuberculosis patients in the Banyuarang and Sidowarek Villages, Jombang Regency. Data collected from 12 respondents showed the prevalent characteristics among the 12 respondents were predominantly female, adult age, high school education, working, limited knowledge about tuberculosis, and easy access to healthcare services. Among the 12 respondents in Banyuarang and Sidowarek, 9 respondents had never been screened, while 3 respondents had undergone screening. The primary reasons for respondents not undergoing screening were lack of awareness regarding the necessity of screening and busy schedules.
Optimization of Microstructure Patterning for Flexible Bioelectronics Application
Authors: Gupta Ishi , Choudhury Manika , Gnanasambanthan G. Harish , Maji Debashis
Published: October 2023

Recent advancements in flexible electronics and wearable sensors have given biomedical technology a new edge overcoming the limitations of traditional rigid silicon-based electronics. Furthermore, high flexibility of these wearable sensors enables it to conformally sit over any uneven surface helping in accurate determination of any physical, chemical, or physiological parameter associate with the surface. Conventionally expensive micro/nano photolithography techniques under strict clean room conditions are used for the development of these flexible and wearable biomedical sensors with high degree of accuracy and sensitivity. However, the developed wearable sensors need not only be extremely sensitive, but also cost effective for its successful usage. To address this, the present work discusses the use of a photo-patternable UV sheet for realization of micro patterns over flexible copper cladded surface eliminating the need of costly clean room facilities. It demonstrates the standardization of various design geometries using the photo-patternable UV sheet over the flexible surface similar to photolithography process and involves optimization of the exposure timing of the UV sheets and their development time towards various design patterns over different thick film metal surfaces. Finally, patterned micro devices like micro-electrodes were successfully realized using the above process to ascertain its efficacy.
Disease Detection and Diagnosis of Agricultural Plant Leaf Using Machine Learning
Authors: S V Aadhitya , Hariharan R Ashwin , K C Sriharipriya
Published: October 2023

Agriculture and allied activities still continue to be one of the major occupations in world. Various modern methods and inventions have been incorporated to make it more efficient and successful. One of the main problems the farmers are facing are plant diseases. This can affect the entire yield of a season, so to tackle that problem we are proposing a ResNet based Convolutional neural network model which can detect the various disease in plants in early stage itself. For this purpose, ‘New plant village’ dataset to train and test the model. The proposed Resnet based approach has achieved high accuracy in detecting diseases as well as suggesting a proper solution and possible causes for a plant disease.
Hand Gesture Recognition System based on 60 GHz FMCW Radar and Deep Neural Network
Authors: Nadar Daswini , Anjum Saista , Sriharipriya K.C.
Published: October 2023

The proposed study provides a novel technique for recognizing hand gestures that use a combination of Deep Convolutional Neural Networks (DCNN) and 60 GHz Frequency Modulated Continuous Wave (FMCW) radar. The motion of a Human's hand is detected using the FMCW radar, and the various gestures are classified using the DCNN. Motion detection and frequency analysis are two techniques that the suggested system combines. The basis of the capability of motion detection in FMCW radars' is to recognize the Doppler shift in the received signal brought on by the target's motion. To properly identify the hand motions, the presented technique combines these two techniques. The system is analyzed using a collection of hand gesture photos, and the outcomes are analyzed with those of other hand gesture recognition systems which are already in use. A dataset of five different hand gestures is used to examine the proposed system. According to the experimental data, the suggested system can recognize gestures with an accuracy of 96.5%, showing its potential as a productive gesture recognition system. Additionally, the suggested system has a processing time of 100 ms and can run in real time. The outcomes also demonstrate the proposed system's resistance to noise and its ability to recognize gestures in a variety of configurations. For gesture detection applications in virtual reality and augmented reality systems, this research offers a promising approach.
An Adaptive Grid Search Based Efficient Ensemble Model for Covid-19 Classification in Chest X-Ray Scans
Authors: Naresh P. V. , Visalakshi R.
Published: October 2023

Covid has resulted in millions of deaths worldwide, making it crucial to develop fast and safe diagnostic methods to control its spread. Chest X-Ray imaging can diagnose pulmonary diseases, including Covid. Most research studies have developed single convolution neural network models ignoring the advantage of combining different models. An ensemble model has higher predictive accuracy and reduces the generalization error of prediction. We employed an ensemble of Multi Deep Neural Networks models for Covid.19 classification in chest X-Ray scans using Multiclass classification (Covid, Pneumonia, and Normal). We improved the accuracy by identifying the best parameters using the sklean Grid search technique and implementing it with the Optimized Weight Average Ensemble Model, which allows multiple models to predict. Our ensemble model has achieved 95.26% accuracy in classifying the X-Ray images; it demonstrates potential in ensemble models for diagnosis using Radiography images.
Comprehensive Analysis of IoT with Artificial Intelligence to Predictive Maintenance Optimization for Indian Shipbuilding
Authors: Rao PNV Srinivasa , Jayasree PVY
Published: October 2023

The extensive review of the literature evaluation on predictive maintenance (PdM) in this work focuses on system designs, goals, and methodologies. In the business world, any equipment or system failures or unscheduled downtime would negatively affect or stop an organization's key operations, possibly incurring heavy fines and irreparable reputational damage. Traditional maintenance methods now in use are plagued by a variety of limitations and preconceptions, including expensive preventive maintenance costs, insufficient or incorrect mathematical deterioration procedures, and manual feature extraction. The PdM maintenance framework is suggested as a new method of maintenance framework to prevent any damage only after the analytical analysis shows specific malfunctions or breakdowns, which is in line with the growth of digital building and the advancement of the Internet of Things (IoT), and Artificial Intelligence (AI), and so on. We also present an overview of the three main types of fault diagnosis and prognosis methods used in PdM mechanisms: scientific, conventional Machine Learning (ML), and deep learning (DL). While offering a thorough assessment of DL-dependent techniques, we make a quick overview of the knowledge-based and conventional ML-dependent strategies used in various components or systems. Eventually, significant possibilities for further study are discussed.
Modified E-Shape Rectangular Microstrip Patch Antenna with DGS for Wireless Communication
Authors: Goyal Prachi , Singhal P.K , Sahoo Pooja , Parsediya Deep K.
Published: October 2023

A modified E-shape dual bands rectangular microstrip patch antenna for wireless applications is presented in this paper. An E-slot Microstrip patch antenna with a defective ground structure method has been proposed and getting two bands at 1.9 GHz and 2.89 GHz with S11 -10dB. Defective ground structures provide a maximum gain and low insertion loss i.e., a gain of 3.16 dB, voltage standing wave ratio less than 2, and insertion loss less than -10 dB for both bands. The size of the antenna is 46.83mm x 38.41mm x 1.676mm, which is compact in term of size. The dual band microstrip patch antenna exhibits low cost. The simulation's outcome closely resembles the actual printed antenna and applicable for WiMAX application. The antenna was designed using the Computer Simulation Technology (CST) software and printed on FR-4 substrate.
A Novel Black Widow Optimized Controller Approach for Automatic Generation Control in Modern Hybrid Power Systems
Authors: Wadhwa Kanika , Gupta S. K.
Published: October 2023

This research paper demonstrates an application of the Black Widow Optimization (BWO) approach to address the issue of load-frequency control (LFC) in networked power systems. BWO is an innovative metaheuristic method that quickly suggests technique is initially evaluated on a non-reheat thermal-thermal (NRTT) power system spanning two areas of interconnection, and then it is applied to two different actual power systems: (a) a two-area thermal-thermal considering Generation Rate Constraint (GRC); and (b) a two-area having thermal, hydro, wind, solar, and gas systems. The BWO method uses two fitness functions based on integral time multiplied absolute error (ITAE) and integral square error (ISE) to optimize controller gains. The suggested BWO algorithm's performance has been compared to that of existing meta-heuristic optimization methods, such as grey wolf optimization (GWO), comprehensive learning particle swarm optimization (CLPSO), and an ensemble of parameters in differential evolution (EPSDE). The simulation results show that BWO's tuning skills are better than other population-based planning methods like CLPSO, EPSDE, and GWO. The ITAE value is enhanced by 33.28% (GWO), 40.28% (EPSDE), and 43.27% (CLPSO) when the BWO algorithm is used in conjunction with the PID Controller for thermal system.
A Novel Buffer Packet Delivery Strategy for High Throughput and Better Health (HTBH) Method in Wireless Sensor Networks
Authors: V S Rekha , Siddaraju Dr.
Published: October 2023

There is massive call for the Packet Sender Device Network (PSDN) primarily based on tracking of areas, figuring out the consequences of climate, detection of enemy vehicles. The PSDN could have useful Packet Sender Devices (PSD’s) which can study the vicinity and then send the data from initial to receiver PSD. There are numerous constraints which have restrictions on the feature like battery, memory, and range. There is hierarchical community wherein the PSDs are spread on more than one area with every vicinity having their very own PSD’s whilst communique has to manifest among PSDs of various areas then it requires chief PSD in every vicinity which have to be elected primarily based on higher battery degree, distance to base station in addition to mobility of the PSD over a duration of time. LEACH suffers from side-to-side propagation among base station and PSDs. LEACH elects the pinnacle PSD primarily based on random possibility which has consequences of Good-Bad Ratio due to the fact there are possibilities that the PSD with low battery degree be selected as a head PSD. The proposed (HTBH) method will select the head PSD based on battery level, distance between base station and PSD, the mobility of PSD. In order to deliver the data to the processing lab PSDs of the area along with head PSD are used. The packets are classified into high and low priority so that preferences can be used during the data delivery process. Along with sending the current data packets even the data packets reside within the PSD which have to send towards the processing centre. Two policies namely single threshold and dual threshold are used to evict the packets within the PSD and then moving them towards processing centre. This study proposes a higher choice of head PSD with the aid of using considering computation of element which takes into consideration battery, distance, and mobility. The communique among the detection vicinity to receiver vicinity takes place with the assist of PSD’s and head PSD there with the aid of using decreasing range of hops. HTBH method is compared to LEACH and E-LEACH with respect various performance parameters.
Tinjauan Atas Sistem Bagi Hasil Tabungan Rencana Melalui Akad Mudharabah Muthlaqah
Authors: Maurizka Btari Salma
Published: October 2023

ABSTRACT

Research through internships at Bank Syariah Indonesia Sub-Branch Office of Tanah Sareal aims to find out whether the opening procedure, product offering strategy, application of the profit sharing system of savings plans using the mudharabah muthlaqah contract has run well. Also, if there are any obstacles, what are the evaluations carried out by the bank in resolving these obstacles.

The evaluation results of this study show that the procedure for opening a plan savings account and the strategy of offering plan savings products have been carried out well but need to be improved again in order to attract more customers for plan savings products. Furthermore, the profit sharing system of savings plans using the mudharabah muthlaqah contract has been implemented in accordance with the Statement of Sharia Financial Accounting Standards (PSAK) Number 105 concerning mudharabah accounting, where customers will receive a ratio for each month. The bank will always inform the customer if there is a change in ratio. As of April 2023, Bank Syariah Indonesia KCP Tanah Sareal has 113 planned savings product customers.

Keywords : savings plan, akad mudharabah muthlaqah
TINJAUAN ATAS PROSEDUR PEMBAYARAN PAJAK RESTORAN DAN KONTRIBUSINYA TERHADAP PENDAPATAN ASLI DAERAH PADA BADAN PENGELOLAAN PENDAPATAN DAERAH (BAPPENDA) KABUPATEN BOGOR
Authors: Aulia Shafira Desri , Nurjanah Yayuk
Published: October 2023

Pajak daerah salah satunya pajak restoran menjadi salah satu penerimaan Pendapatan Asli Daerah khusunya pada Kabupaten Bogor. Pajak restoran menggunakan sistem pemungutan pajak secara Self Assessment yakni sistem pemungutan pajak yang memberi tanggung jawab pada wajib pajak dalam menetapkan besaran kewajiban perpajakan yang perlu dibayar. Prosedur pembayaran pajak restoran ini diperlukan proses yang sistematis agar proses pembayaran pajak restoran dapat berjalan dengan efektif dan diharapkan mampu meningkatkan Pendapatan Asli Daerah. Prosedur pembayaran pajak restoran dapat dilakukan melalui BAPPENDA Kabupaten Bogor. Tujuan peninjauan ini adalah untuk mengetahui prosedur pembayaran pajak restoran pada Badan Pengelolaan Pendapatan Daerah Kabupaten Bogor, untuk mengetahui berapa besar penerimaan pembayaran pajak restoran Kabupaten Bogor, serta mengetahui bagaimana kontribusi pajak restoran terhadap Pendapatan Asli Daerah pada Badan Pengelolaan Pendapatan Daerah Kabupaten Bogor. Berdasarkan hasil peninjauan diketahui bahwa penerapan prosedur pembayaran pajak restoran oleh BAPPENDA telah dilaksanakan sesuai dengan ketentuan Peraturan Daerah Kabupaten Bogor/1No. 2 tahun 2016. Selanjutnya, penerimaan pembayaran pajak restoran Kabupaten Bogor dinilai telah melebihi target yang ditetapkan. Kemudian, pajak daerah salah satunya pajak restoran mampu memberikan kontribusi lebih terhadap PAD. pajak restoran telah memberikan kontribusi terhadap PAD tertinggi urutan ketiga setelah pajak BPHTB dan pajak PBB meskipun dinilai fluktuatif.
TINJAUAN ATAS IMPLEMENTASI SAK ETAP PADA LAPORAN KEUANGAN KOPERASI PRODUKSI SUSU DAN USAHA PETERNAKAN BOGOR
Authors: Rizki Karina , Asfiya Nurul , Pamungkas Bambang
Published: October 2023

Semua entitas tanpa terkecuali termasuk koperasi, harus membuat laporan keuangan untuk bertanggung jawab kepada pihak eksternal dan internal. Koperasi digolongkan sebagai entitas tanpa akuntabilitas sehingga berpedoman pada Standar Akuntansi Keuangan Entitas Tanpa Akuntabilitas Publik (SAK ETAP). SAK ETAP disusun oleh Ikatan Akuntan Indonesia (IAI) untuk membantu beberapa bidang usaha yang tidak memiliki akuntabilitas publik sebagaimana telah ditentukan dalam ruang lingkup SAK ETAP. SAK ETAP lebih sederhana daripada dengan SAK Umum. SAK ETAP juga mengatur dalam hal pengakuan, pengukuran, dan penghapusan transaksi pada entitas tanpa akuntabilitas.Tujuan dari penelitian Tugas Akhir ini adalah untuk mendapat pemahaman dalam implementasi SAK ETAP pada laporan keuangan koperasi. Untuk memastikan kesesuaian unsur-unsur laporan keuangan dan penggunaan prinsip-prinsip akuntansi yang digunakan telah sesuai dengan SAK ETAP yang telah ditetapkan. Hasil peninjauan menunjukkan bahwa Koperasi Produksi Susu dan Usaha Peternakan Bogor telah menyajikan laporan keuangan secara lengkap sesuai dengan SAK ETAP. Unsur-unsur laporan keuangan koperasi telah sesuai dengan standar akutansi dan secara umum, elemen pengakuan, penilaian, penyajian, dan pengungkapan yang diperlukan dalam pelaporan keuangan telah dipenuhi. Selain SAK ETAP, dalam penyajian laporan keuangan KPS Bogor berpedoman pada Peraturan Menteri KUKM No. 13 Tahun 2015 yaitu untuk transaksi simpan pinjam Lembaga Pengelola Dana Bergulir (LPDB) dan penamaan laporan laba rugi menjadi laporan sisa hasil usaha namun secara subtansi sesuai dengan laporan laba rugi SAK ETAP.
Pengaruh Penerapan Akuntansi Hijau Dan Kinerja Lingkungan Terhadap Profitabilitas Perusahaan Pertambangan
Authors: Nuraini Airin , Andrew Thomas
Published: October 2023

Although natural resources’ important role and massive contribution to the country’s economic development, mining activities bring unprecedent consequences, like environment destruction and social conflict. Companies need to pay attention to the Corporate Social Responsibility (CSR) in this era. Green accounting and environment performance are couple of instruments to support CSR implementation.
The puporse of this research is to understand how big the influence of green accounting and environment performance to the mining companies’ profitability.
This research is quantitative research. This research utilizes Eviews 13 software. To ensure the precise of model regression, classic assumption test is conducted, such as normality test, multicollinearity test, autocorrelation test, and heteroscedasticity test. To choose the best panel data regression model, there will be 3 test to conduct, which are Chow test, Hausman test, and Lagrange-Multiplier test. Partial test and f-test are done to test hypothesis in this research. Partial test and f-test are done to test hypothesis in this research.
The result of this research indicates that green accounting gives negative impact to the profitability of mining companies. While, environment performance doesn’t give any influence to the company’s profitability. Simultaneously, green accounting and environment performance give significant influence to the profitability. Green accounting impacts negatively to the profitability, because there is no accounting standard about the calculation method, classification accounts from the environment costs, no correlation between financial report and sustainability report, and lack of transparency of the environment cost.  Environment performance gives no effect to the profitability, due to lack respond from some stakeholders to the environment performance score.
 
Keywords : Green Accounting, Environment Performance, Mining Companies
Pengaruh Kualitas Produk Dan Promosi Penjualan Terhadap Keputusan Pembelian
Authors: Indah Imelda Frizellia , Gendalasari Gen Gen
Published: October 2023

This study aims to: (1) To determine the effect of Product Quality on Purchasing Decisions, (2) To determine the effect of Sales Promotion on Purchasing Decisions, (3) To determine the effect between the quality of Sales Promotion products on Purchasing Decisions. The number of samples was 385 respondents using the Cochran Formula formula. The data analysis method used is linear regression analysis to determine the Effect of Product Quality and Sales Promotion on Purchasing Decisions at Cafe Story House in Bogor City. Data testing is performed using Software Statistical Package For The Social Sciencer (SPSS) software. Based on the test results, the following data were obtained: (1) there is an influence of Product Quality on Purchasing Decisions showing significant results (2) there is an influence of Sales Promotion on Purchasing Decisions showing significant results (3) There is an influence between Product Quality and Sales Promotion on Purchasing Decisions showing significant results

Keywords : Product Quality, Sales Promotion, Purchase Decision
Tinjauan Atas Layanan Prima Pada Hotel Onih Bogor
Authors: Fadillah Muhammad Faiz , Purnama Denta
Published: October 2023

ABSTRACTDevelopment in all sectors is the goal and target of society, in line with development in all sectors, especially the hotel industry, one of which has the potential to receive serious treatment is the hotel industry sector. The hotel industry is very competitive and hotels must strive to improve excellent service to retain and increase the number of hotel customers. Companies need to have an understanding of excellent service as one of the steps in increasing customer satisfaction, building a positive reputation, and increasing the level of customer satisfaction and loyalty.The purpose of this review is to gain an understanding of: 1) How excellent service is implemented at the Onih Bogor Hotel; 2) What are the obstacles to excellent service at the Onih Bogor Hotel; 3) How to overcome problems with excellent service at the Onih Bogor Hotel.The results of this review are: 1) Hotel Onih Bogor has implemented the elements of excellent service at Hotel Onih Bogor; 2) Obstacles that occur include: a) The high number of customers who need to be served simultaneously at the front office, b) Special requests that are difficult to fulfill due to limited goods, especially iron, c) Disturbances in providing good wifi or internet facilities; 3) Efforts to overcome the obstacles that occur include: a) Front office staff arranging customers to wait on the sofa in the hotel lobby, b) Arranging ironing loan schedules and suggesting the use of laundry services as an alternative to fulfill customer requests regarding irons, c) Hotel staff helping customers looking for better quality wifi networks, such as using wifi in meeting rooms.

Keyword : Excellent Service
The Influence of the Covid - 19 Pandemic and Government Policy on Hotel Room Occupancy Rates
Authors: Yuwantiningrum Sri Endah
Published: October 2023

The Covid-19 pandemic has dealt a heavy blow to the tourism sector. Restrictions on travel and in-person meetings have caused the transportation and lodging accommodation sector to drop drastically. Several policies, regulations and requirements for traveling are also obstacles for the hotel industry to be able to receive guests. An increase in the number of Covid-19 sufferers in an area will be followed by restrictions on travel regulations and policies, which will not only impact the local community, but also other residents who want to come or cross the area. These conditions directly affect the occupancy rate of hotel rooms in an area. This study used a secondary research method based on existing data. Sources of data come from daily and weekly reports on the occupancy rate of hotel rooms in the city of Bogor, as well as data obtained from other sources. The purpose of this study is to serve as a dashboard for future policy makers, especially on the impact of a policy on the occupancy rate of hotel rooms.

 

Keywords: Pandemic, Room Occupancy Rate, Government Policy
Tinjauan Atas Prosedur Pengelolaan Persediaan Pada Hotel Pesona Alam Resort & Spa
Authors: Amanda Dina , Sudradjat Sudradjat
Published: October 2023

ABSTRACT

Inventory is a fairly large current asset and has an important role in every company. Inventory is used to support the company's operational activities. Inventory management activities need to be carried out with correct procedures so that inventory security can be maintained. Security needs to be maintained starting from the purchasing process, storage to the inventory dispensing process. The purpose of this review is to understand how inventory management procedures are implemented at the Pesona Alam Resort & Spa Hotel in order to meet the needs of the company's operational activities. Apart from that, to find out the documents used and related parts in inventory management procedures at the Pesona Alam Resort & Spa Hotel. The results of the review show that inventory management procedures comply with the SOP determined by the company and are also implemented well. There is a separation of duties between related sections and the completeness of the documents is quite good.

Keywords: Inventory Management
Türkiye’de Akademik Kitap Yayımcılığı: Mevcut Durum ve İhtiyaçlar
Authors: DEMİR Abdullah
Published: October 2023

Türkiye merkezli akademik kitap yayımcılığının mevcut durumu ile karşılaşılan sorunlar bu çalışmanın konusudur. Akademik yayımcılık alanında yayınevlerinin uymaları gereken uluslararası standartlar ve yayımladıkları kitaplarda bulunması gereken temel nitelikler bulunmaktadır. Think. Check. Submit. Platformu (www.thinkchecksubmit.org), yazarların güvenilir akademik yayımcıları belirleyebilmeleri için bir kontrol listesi hazırlayarak kullanıma sunmuştur. Bu kontrol listesinin sonunda “Çalışmanızı yalnızca yukarıdaki soruların çoğuna veya tümüne ‘Evet’ yanıtı verebiliyorsanız yayımcıya gönderin.” uyarısı yer almaktadır. Bu kontrol listesini akademik kitap yayımcısı olan üniversiteler için web sitelerinde yer alan bilgiler üzerinden doldurduğumuzda 30 soru üzerinden 25’inde “Hayır” cevabı ile üniversite yayınevlerinin çoğu “güvenilmez” çıkmaktadır. Ne yazık ki ülkemizde üniversitelerde akademik kitap yayımcılığı amatör düzeyde yürütülmektedir. Birkaç güzel uygulama örneği dışında kitaplar, “Üniversite Yayınları / Üniversite Yayınevi” marka adı altında tek bir merkezden yayımlanmamaktadır. Üniversitelerde akademik kitap yayımcılığının geliştirilmesi için Sivas Cumhuriyet Üniversitesi desteği ile 2018 yılından itibaren gerçekleştirilen Türkiye Editörler Çalıştayı’nda (www.editorlercalistayi.com) her yıl gündeme getirilen ve ilgili kurumlara çalıştay kararı olarak sunulan tespitlerin dikkate alınması önerilir.
The Role of Entrainment and Aperiodicity in Vibrotactile Discrimination
Authors: Choi A , Abraham A
Published: October 2023

The extent to which entrainment – the phenomenon in neuroscience where neurons synchronize their firing patterns to external stimuli with rhythmic or periodic features – occurs in response to aperiodic or irregular flutter stimuli remains debatable. It has been proposed by Mountcastle et al. that information is processed in a periodic manner; however, more recently, Romo et al. challenged Mountcastle’s theory and proposed that flutter stimulus was encoded based on the rapidly adapting fibers, not the periodicity.1-5 Therefore, if Mountcastle et al. is correct, the brain should be more adept at discriminating frequency between periodic stimuli than between aperiodic stimuli; conversely, if Romo et al. is correct, the brain should be equally good at discriminating frequencies between periodic and aperiodic stimuli. In this study, a two-point vibrotactile stimulation device (The Brain Gauge, Cortical Metrics, USA) was used to stimulate digits II and III of 43 participants’ preferred hand to determine their difference limen (DL) for both amplitude (AD) and frequency (FD) discrimination tests, given aperiodic or periodic stimuli. The tests were performed in the following order: periodic AD, aperiodic AD, periodic FD, and aperiodic FD. The results suggest that the periodicity of the stimuli affects frequency discrimination more than amplitude discrimination and the participants were significantly better at discriminating stimuli with periodic frequencies than aperiodic frequencies. A paired, one-tailed t-test indicated that the subject DLs resulting from periodic stimuli were significantly different (p<0.05) from that resulting from aperiodic stimuli for frequency discrimination, while it was not statistically significant for amplitude discrimination. The results were in favor of Mountcastle’s theory; however, more trials with a more controlled experimental environment may be needed to definitively conclude.
Human auditory frequency discrimination and inter-stimulus interval
Authors: LaPlant Nicholas , Konzmann Alex , Frost Jemma
Published: October 2023

The goal of this  study was to determine how human performance in discriminating between similar frequencies in the auditory spectrum was influenced by modifying the interstimulus interval (ISI). The ISI is defined as the time elapsed from the end of the first stimulus and the beginning of the second stimulus. The relationship between ISI and auditory discrimination was explored using an auditory file comprised of 40 tests that each contained two tones with a frequency difference of 1%. For each test, 44 participants were asked to select the tone they perceived as being a higher frequency. The two frequencies used in each test were centered around one of five base frequencies, and the ISI used in each test was one of eight predetermined intervals. Results from previous auditory frequency discrimination studies regarding the just-noticeable difference (JND) and Weber’s law were used in the selection of the frequency difference of 1% that was used in this experiment. This frequency difference was kept constant across all the tests in order to ensure that the ISI was the main factor influencing participant performance. Participant performance was greatest at an ISI of 1000 ms when results were averaged by frequency. Additionally, as the base frequency increased, average performance generally improved. The findings from this experiment promote further investigation into the effects of varying ISI on the integration of auditory information by the auditory cortex.
Exploring Tactile Amplitude Discrimination Ability at Varying Frequencies for Young Adults
Authors: Funk Callum , Farrar Macy , Fisher Joseph
Published: October 2023

Introduction: Historically, many studies of both amplitude and frequency tactile discrimination were conducted under the assumption that perceived intensity of vibro-tactile stimuli needed to be controlled across trials for accurate results. This resulted in amplitude or frequency adjustments to control for “intensity” depending on what variable (amplitude or frequency) was being changed (Hollins & Roy, 1996). For example, if a frequency discrimination task was being conducted and frequency was being changed, the amplitude of the stimulus would also be altered based on the change in frequency to control for perceived intensity. The goal of this study was to test the “intensity” assumption and to determine if frequency level had an impact on tactile amplitude discrimination performance.

Methods: The experiment was conducted using a Brain Gauge (BG), which uses two adjacent tactile stimulators for dicrimination tasks. Participants completed four trials of amplitude discrimination conducted at 10, 20, 30, and 40 Hz respectively as this range is physiologically relevant as well as had the fastest adaptation within rapidly adapting (RA) neurons (Fernandez et al., 2011, Tommerdahl, et al, 2010, Purves et al., 2001).

Results: There is no statistically significant difference (p > 0.27) found for the amplitude discrimination tested at 20, 30 and 40 Hz. Amplitude discrimination was significantly worse (p < 0.05) at 10 Hz than at the higher frequencies.

Discussion: Our results suggest that the perceived intensity of stimuli, due to changes in frequency in the 20 to 40 Hz range,  does not affect amplitude discrimination performance. This challenges the historical understanding that different frequencies had different perceived intensities which therefore needed to be accounted for by adjusting the amplitude (Hollins & Roy, 1996).
Cultural Variable and Functional Probability Learning: An Ethnomathematics Perspectives
Authors: David Orok Udofia , Udom Uwem Daniel
Published: October 2023

The crux of this study investigated “cultural variable and functional probability learning: An Ethnomathematics perspectives”. Nsa Isong game was used as major independent variable and functional probability learning as dependent variable. Two (2) purpose of the study was used to generate two (2) research questions and two (2) null hypotheses were formulated for the study. The Quasi-experimental design of pretest and posttest was adopted for the study with a proportionate stratified sampling technique used to obtain a sample size of 320 students from a population of 3,610 students. Probability Achievement Test (PAT) was the instrument used for data collection with a reliability coefficient of 0.87 using split half reliability test. Data collected from the study were subjected to analysis of covariance (ANCOVA) for analysis. The results indicated that; there is significant effect of Nsa Isong game on students’ functional probability learning, there is significant effect of Nsa Isong game and gender on students’ functional probability learning. Based on this result obtained it was recommended amongst others that workshops and seminars should be organize for teachers at primary and secondary level of education on how to use the Nsa Isong game in the teaching and learning of probability.
Possibilities of the XXI century music art in the spiritual formation of the youth audience
Authors: Dodonova Svetlana Gennadievna
Published: October 2023

The article considers the problem of sovereignty of modern domestic culture, which has a great influence on the spiritual formation of young people. As a result, there is a growing need for contemporary art that can adequately respond to changes in public consciousness while retaining its individuality and independence. This has determined the purpose of the work – to show the new possibilities of modern musical art and its authors, whose activities are aimed at attracting and supporting greater attention and interest of young people to the spiritual and creative environment of the 21st century. The problem is solved both on the state level, due to the active role of public figures, and at the level of modern composers. As a result of their work, musical art has acquired new opportunities for the spiritual formation of a youth audience.
Peculiarities of the interpretation of the genre of the mass on the example of the "Little solemn mass" Gioachino Rossini (1863, 1867)
Authors: Shchukina Daria Mikhailovna
Published: October 2023

In this article the author examined the peculiarities of the interpretation of the genre of the mass on the example of the "Little Solemn Mass" by Gioachino Rossini (1863, 1867). Gioachino Rossini is known all over the world, first of all, as the author of 39 operas, but his contribution to the development of spiritual genres of Italian music was also very significant. A small solemn mass is of great interest to choristers and conductors alike due to the wide variety of numbers, choral, solo, and instrumental techniques. This paper discusses some of the features of this work, the canonicity of the text, structure, and style of music. Of greatest interest is the comparison of the main parts of the mass by different composers of the same historical period from the point of view of figurative and stylistic interpretation. One of the features of Rossini's interpretation of the mass genre is the text. In addition to the textual features, the “Little Solemn Mass” is distinguished by a number of deviations from the generally accepted canon, for example, by the composition of the performers. It is also worth noting that the extensive use of polyphonic techniques brings it closer to the samples of the Baroque era and even earlier works of strictly style.
Vocal features and guidelines for some arias from the oratorio "Triumph of time and truth" by Georg Friedrich Handel
Authors: Avakyan Maria Armenovna , Starostina Margarita Aleksandrovna
Published: October 2023

In this paper, the authors analyze the unique vocal characteristics of selected arias from "Triumph of Time and Truth," an oratorio by George Frideric Handel. The material presented is particularly relevant due to the identified performance difficulties that contemporary vocalists may face while studying and performing these arias, as well as the specific methodological recommendations provided to enhance professionalism and quality in performances. The authors provide a thorough analysis of the primary performance challenges, which include breathing, tempo, expression, and overall character.
Viola in the russian musical art of the second half of the XVIII century: the works of I.E. Khandoshkin
Authors: Radzetskaya Mariya Dmitrievna
Published: October 2023

The history of Russian viola performance is closely tied with the development of solo, orchestral and ensemble repertoire, as well as its formation in space-time dynamics and perspective. The significance of the instrument in the cultural life of the country in the second half of the XVIII century is reflected in the the works of the renowned Russian composer I.E. Khandoshkin. In this study, scientific research, documentary and memoir materials, and other valuable sources are used to explore this topic. The main focus is on "Six Old Russian Songs", a Concerto for Viola and String Orchestra C–dur, which served as an example of a brilliant musical mystification of the mid-20th century, and its actual author, violinist M.E. Goldstein.
The effect of some herbs and plants found in the Al-Baha region in reducing weight in obese rats
Authors: Abd Elmeged Lobna
Published: October 2023

Background: Worldwide, obesity is becoming a serious issue for many nations. Over the past ten years, obesity has become more prevalent on a global scale. Fruits, flowers, leaves, peels, roots, or combinations of these plant parts are nowadays used by humans to reduce weight.
Aim: The purpose of this inquiry was to examine the impact of different vegetable peels and herbs found in the Al-Baha region used in weight-reduction formulations in obese rats.
Methods: The three plant peels and two herbs on a base diet were employed in various quantities in the mixture evaluated in 40 (Sprague-Dawley) white female albino rats weighed (175 5 g). Before the trial, all rats received a week of a regular diet for acclimatization. The rats were split up into (8) groups of five rats each, all of which had roughly the same overall weight. Except for one group providing a high-fat diet as a control group, all obese rats were fed a basal diet along with a formula containing researched vegetable peels and herbs for four weeks.
Results: There are no substantial difference exists between groups 1, 2, 5, and the control group. The seventh group was the lowest one in feed intake. There are no significant differences between groups 1,5 and 6. The lowest group in body weight gain was the last group which recorded 0.52 ± 0.16 g/ day. Between groups 2, 3, and 4, as well as between groups 2, 3, and 4, there are no notable differences (1 and 6). Meanwhile, rats fed in group 7 showed a significant decrease compared to control rats which were 0.055 ± 0.007.
Conclusion: The study recommended that nutrition and health education programs should be organized and directed for the public to important the peels of watermelon, peas, and eggplant for health and use in the technology field.
Analisis Tingkat Kesehatan Bank BUMN Yang Terdaftar Di Bursa Efek Indonesia (BEI)
Authors: Jumiati  , Valianti Reva Maria , Nurmala
Published: October 2023

Penelitian ini bertujuan untuk menganalisis Tingkat Kesehatan Bank menggunakan metode RGEC (Risk Profile, Good Corporate Governance, Earning, Capital Adequency Ratio) pada Bank BUMN yang terdaftar di Bursa Efek Indonesia (BEI). Metode penelitian yang digunakan adalah metode kualitatif. Teknik analisis data yang digunakan deskriptif kualitatif, Berdasarkan Peraturan Bank Indonesia Nomor:13/1/PBI/2011 menggunakan metode RGEC yang dihitung dengan indikator NPL, LDR, NIM, ROA, CAR. Hasil perbandingan tingkat kesehatan perbankan dilihat dari indikator NPL menunjukkan BNI dan Bank Mandiri Sangat Sehat, BRI Kurang Sehat sedangkan BTN Sehat. Hasil perbandingan tingkat kesehatan perbankan dilihat dari indikator LDR menunjukkan BNI, BRI dan Bank Mandiri Sangat Sehat sedangkan BTN Sehat. Hasil perbandingan tingkat kesehatan perbankan dilihat dari indikator NIM menunjukkan BNI, BRI dan Bank Mandiri Sangat Sehat sedangkan BTN Sehat. Hasil perbandingan tingkat kesehatan perbankan dilihat dari indikator ROA menunjukkan BNI, BRI dan Bank Mandiri Sangat Sehat dengan sedangkan BTN Sehat. Hasil perbandingan tingkat kesehatan perbankan dilihat dari CAR menunjukkan BNI, BRI, BTN dan Bank Mandiri Sangat Sehat
Artificial intelligence in health care: should it replace physicians?
Authors: Sriharan Abi , Ratnapalan Savithiri
Published: October 2023

The global Artificial Intelligence (AI) in health care market was worth $7.4 billion in 2021 and is expected to reach $48.77 billion by 2027.1 Although theoretical, recent reports estimate that AI has the potential to improve up to 40% of patient care, diagnostics, research, and administrative tasks.2 Are current AI solutions ready to replace physicians?
Physician leadership during the pandemic: reflections from hospitalist leaders in British Columbia, Canada: a mixed-methods evaluation study
Authors: Yousefi, Vandad
Published: October 2023

Hospitalist physician leaders play an important role in how health care organizations deliver acute care services. Understanding the challenges they face can be important in preparing them for future crises. Methods: We conducted a mixed-methods evaluation study to explore the challenges faced by hospitalist leaders and the impact of the COVID-19 pandemic on their ability to address them. Results: Our findings suggest that staffing issues are a major concern, along with the quality of relations between physicians and health authority managers. Moreover, our findings suggest a need for more leadership training for hospitalists. Conclusions: Hospitalist physician leaders in British Columbia face significant challenges in staffing their programs, as well as difficult relations with administrators. Efforts to improve collaboration and physician engagement should be a high priority for health system leaders in the province.
An Ensemble Classification Method Based on Deep Neural Networks for Breast Cancer Diagnosis
Authors: Gao Yan , Amin Rezaeipanah
Published: October 2023

Advances in technology have led to advances in breast cancer screening by detecting symptoms that doctors have overlooked. In this paper, an automatic detection system for breast cancer cases based on Internet of Things (IoT) is proposed. First, using IoT technology, direct medical images are sent to the data repository after the suspicious person's visit through medical equipment equipped with IoT. Then, in order to help radiologists, interpret medical images as best as possible, we use four pre-trained convolutional neural network models including InceptionResNetV2, InceptionV3, VGG19 and ResNet152. These models are combined by an ensemble classifier. Also, these models are used to accurately predict cases with breast cancer, healthy people, and cases with pneumonia by using two datasets of X-RAY and CT-scan in a three-class classification. Finally, the best result obtained for CT-scan images belongs to InceptionResNetV2 architecture with 99.36% accuracy and for X-RAY images belongs to InceptionV3 architecture with 96.94% accuracy. The results show that this method leads to a reduction in daily visits to medical centers and thus reduces the pressure on the medical care system. It also helps radiologists and medical staff to detect breast cancer in its early stages.