bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence and influencing factors of muscle mass loss in adults with diabetes and a high body fat percentage: A cross-sectional study
Authors: Bi Li-Na , Zheng Xin , Qi Yan-Yan , Hu Su , Li Chang , Zhang Yan
Published: August 2023

BACKGROUND: In adults with type 2 diabetes (T2DM), sarcopenia and obesity are two common body composition issues. OBJECTIVE: We investigated the associated influencing factors of muscle mass loss in obese adults with T2DM, to provide a theoretical basis for the prevention of sarcopenic obesity in patients with T2DM. METHODS: We recruited 315 participants in this study. The participants underwent body composition assessment and clinical information was collected. Dual-energy X-ray absorptiometry was used to verify the accuracy of the body composition data. Based on their body fat percentage, 189 patients with T2DM were classified as obese. Patients with T2DM and obesity were grouped into the muscle mass loss group and non-muscle mass loss group based on gender. We collected demographic and clinical information about patients with T2DM who were obese, including their age, gender, body mass index (BMI), appendicular skeletal muscle index (ASMI), and body fat percentage (PBF). RESULTS: Among the participants who were obese and had T2DM, 56.61% (107/189) experienced muscle mass loss, with a detection rate of 43.42% (33/76) among females and 65.49% (74/113) among males. Body mass index, fat index, Android fat, Gynoid fat, limb fat, trunk fat, and total body bone mineral content were all lower in the muscle mass loss group compared to the non-muscle mass loss group, regardless of gender (all P< 0.001). Muscle mass loss in obese adults with T2DM was affected by BMI, body fat index, and limb fat. CONCLUSION: Muscle mass loss is more prevalent in adults with T2DM and a high PBF. Body mass index, body fat index, and limb fat are the protective factors of muscle mass loss in adult patients with T2DM and obesity.
Effects of percussion massage therapy, dynamic stretching, and static stretching on physical performance and balance
Authors: Menek M. Yilmaz , Menek B.
Published: August 2023

BACKGROUND: Percussion massage therapy is a popular approach in sport medicine for physical therapists, but few researchers have investigated the comparison with other intervention methods. OBJECTIVE: This study aimed to examine the comparison of the effects of dynamic stretching, static stretching and percussive massage therapy on balance and physical performance in individuals. METHODS: The participants who were 18–25 years of age, able to perform performance tests, did not have any orthopedic surgery, did not have problems during running and sudden turning, and did not have a professional sports history were included in the study. Participants were assigned randomly to three groups as dynamic stretching (DS) (n= 16), static stretching (SS) (n= 16) and percussive massage therapy (PMT) (n= 16) groups. Horizontal jumping test, T drill test and balance measurements on a single leg with open and closed eyes of all participants were recorded before and after applications. RESULTS: When the values of the pre and post-treatment of all groups in the study were compared, significant improvements were observed in the t-test, horizontal jumping test and right/left foot balance with eyes open in DS group (p< 0.05). Significant improvements were observed in all values in the PMT group (p< 0.05). In the comparison of the differences between the groups, PMT group values were more significant than the SS group in all parameters. CONCLUSION: Percussive massage therapy would be an alternative that can be used to increase the performance and balance of individuals before exercise.
Evaluation of the effects of somatotype profiles on pain, proprioception, isokinetic muscle strength and kinesiophobia in patients with meniscopathy
Authors: Çiftçi Rukiye
Published: August 2023

BACKGROUND: Somatotype causes differentiation of physical, physiological and biochemical metabolisms in the body. To what extent meniscopathy (M) is affected by somatotype profiles has been an issue of concern. OBJECTIVE: The aim of the study was to investigate whether somatotype profiles have an effect on kinesiophobia, pain, proprioception and isokinetic muscle strength in patients with an M diagnosis. METHODS: 172 (85 female, 87 male) M patients between the ages of 18 and 65 were included in the study. The Heath-Carter method was used to determine somatotype components. Biodex Isokinetic system at 120∘/sec angular speed was used for muscle strength measurements, a digital inclinometer with goniometer was used for proprioception measurement, the Tampa Kinesiophobia Scale (TKS) was used for the assessment of kinesiophobia, the Functional Assessment of Chronic Illness Therapy (FACIT) fatigue scale was used for the assessment of fatigue and pain, and the visual analogue scale (VAS) was used for pain assessment. RESULTS: Five somatotype profiles were found. When the right-left knee proprioception values were compared according to the somatotype profiles of patients, a significant difference was found in favor of balanced ectomorph at 15∘ and 30∘. No significant difference was found when TKS, FACIT, VAS values were compared in terms of somatotype profiles; while no significant difference was found in TKS, FACIT, VAS (REST-NIGHT) in terms of gender, a significant difference was found in VAS MOVE. Endomorph somatotype was dominant in the M patients. CONCLUSIONS: Individuals with M disease showed significant differences in terms of endomorph components. Obesity may also be one of the negative findings for M disease. Somatotype classification may represent a suitable tool for monitoring M.
Prediction for recurrent non-muscle invasive bladder cancer
Authors: Li Keqiang , Raveendran Aravind , Xie Guoqing , Zhang Yu , Wu Haofan , Huang Zhenlin , Jia Zhankui , Yang Jinjian
Published: August 2023

Non-muscle invasive bladder cancer (NMIBC) has a high recurrence rate, which places a significant burden on both patients and the healthcare system. Hence, it holds significant importance to predict the recurrence risk following treatment for individuals diagnosed with non-muscle invasive bladder cancer (NMIBC). As new generation technologies continue to emerge, an increasing number of recurrence risk prediction tools are being developed and discovered. This article provides an overview of the primary recurrence risk prediction tools currently available, including the liquid biopsy, tissue biopsy, and risk prediction tables. Each of these tools is described in detail and illustrated with relevant examples. Furthermore, we conduct an analysis of the advantages and disadvantages of these tools. This article aims to enhance the reader’s understanding of the current progress in recurrence prediction tools and encourage their practical utilization in the fields of precision medicine and public health.
Real-time MRI lungs images revealing using Hybrid feedforward Deep Neural Network and Convolutional Neural Network
Authors: Karthick M. , Samuel Dinesh Jackson , Prakash B. , Sathyaprakash P. , Daruvuri Nandhini , Ali Mohammed Hasan , Aiswarya R.S.
Published: August 2023

This research focused on Real-time MRI lung images that were revealed using three grade processes by manipulating nanophotonics components, mapping by deep learning, machine learning, and pattern recognition. This research is Solving Magnetic resonance imaging of interstitial lung diseases with Hybrid feedforward Deep Neural Network (ffDNN) and Convolutional Neural Network (CNN) architecture. The feedforward deep neural network (ffDNN) and Convolutional Neural Network (CNN) techniques are used to Solving Magnetic resonance imaging of interstitial lung diseases on the nanophotonics components, deep learning, and machine learning Platform. The Proposed semiconductor monolithic integration approach employed for bio-Magnetic resonance imaging characterization using photonic crystal “Symptomatic Image Revealing” details of the resonant monolithic. The proposed machine-learning-based approach revealed characterizing multi-parameter design space of nanophotonic components using Nano-optic imagers. The Pattern Recognition for MRI was performed for lower dimensionality. Finally, the Hybrid feedforward Deep Neural Network (ffDNN) and Convolutional Neural Network (CNN) architecture for calculating the height and size of scatterers using the inverse design of the meta-optical structure. The temporal resolution assessment of image data pixel size 280x360 hyperspectral imaging temporal resolution is 25, and magnetic resonance imaging temporal resolution is 50. The Image distribution shows that phase shift and transmission are 2.78 degrees and at 95%. The result for the inverse design using CNN returns the efficient inverse design of test data that can be designed according to the required pressure distribution. Wavelength 1000 nanometer to 1600 machine learning method absorbance 40% and ffDNN absorbance 33%.
E-Health technological barriers faced by Iraqi healthcare institutions
Authors: Ali Saif Mohammed , Burhanuddin M.A. , Yaseen Ali Taha , Jaber Mustafa Musa , Jassim Mustafa Mohammed , Ali Aseel Mohammed , Alkhayyat Ahmed , Mohammed Mohammed A. , Mohamad Auday A.H.
Published: August 2023

The health records management issues have detrimentally affected the Iraqi healthcare sector resultant from the inferior information technology integrity and the complicatedness of data. In order to resolve this problem, other methods of storage, management, and retrieval of health-related data can be offered by e-Health services. These aspects are important in tracking patients’ health conditions using multiple platforms at the service provider’s own convenience. However, there are numerous issues that hinder the extensive adoption of e-Health services by the health establishments in Iraq, such as issues on security and privacy, legalities connected to policies, and its implementation. The significance of the current study is its identification of the crucial aspects that will lead to the success of impacting the technical staff towards their positive acceptance and behavior with regard to the employment of e-Health information system in Iraqi hospitals. A self-administered survey was carried out on 104 technical staff from various healthcare organizations in Iraq using a simple random sampling technique. A nonparametric second-generation multivariate analysis was conducted on the compiled ordinal data by the utilization of the PLS-SEM approach. The outcomes indicated the favorable impact of several factors on the doctor’s employment of e-Health in Iraqi hospitals, comprising Availability and Affordability of the hardware and software, ICT Support Service, Network Reliability, Privacy, and Security. The results are important in assisting the comprehension of e-Health systems in the management of health data, in addition to the provision of the pertinent recommendations for policymakers to provide guidance, issue advice, directives to the healthcare professionals toward the continuous consideration of using advance information and communications technology at work.
Social and economic development impact of elderly health care products based on design ethics
Authors: Qi Na , Zhang Xun
Published: August 2023

BACKGROUND: The aging of the population is a historical stage that many countries must experience, and the current design and development of elderly health care products can no longer meet the increasing demands of the elderly. OBJECTIVE: The impact of ethical design of elderly health care products on socio-economic development is explored to provide a theoretical basis for the development direction of elderly health care products. METHODS: In this study, a questionnaire survey is conducted on 268 middle-aged people to record the subjects’ willingness to purchase elderly health care products and their reasons, concerns, satisfaction, and future demands. RESULTS: Among the subjects, 181 people have purchased elderly health care products, accounting for 67.36%; the subjects are more concerned about the quality and safety of elderly health care products, accounting for 92.56% and 91.85% respectively, followed by operability (68.46%); the problems encountered by the elderly using elderly health care products are mainly operational problems, accounting for 65.37%; and high safety (86.13%) and good quality (79.55%) are the subjects’ main demands for future development of elderly health care products. 73.61% of the 30–40 year old subjects said that the intelligent aged care products were very good; 65.89% of the 41–50 year old subjects said that the intelligent aged care products were very good; 52.67% of the 51–60 subjects thought that intelligent elderly care products were very good; and 47.82% of the subjects whose age were over 60 expressed their willingness to try intelligent elderly care products. CONCLUSIONS: Good quality and high safety are the main demands for the future development of elderly health care products. The elderly health care products manufactured based on the people-oriented design ethics concept can greatly meet the aspirations of the elderly to pursue a happy later life, and promote the vigorous development of the elderly industrial economy.
Optimal fused feature selection with ensemble learning foratrial fibrillation detection using ECG with enhanced average and subtraction-based optimizer
Authors: Dhara Sanjib Kumar , Bhanja Nilankar , Khampariya Prabodh
Published: August 2023

Most common asymptomatic arrhythmia that significantly leads to death and morbidity is Atrial Fibrillation (AF). It has the ability to extract valuable features is necessary for AF identification. Still, many existing studies have relied on weak frequencies that, are Time-Frequency Energy (TFE) and shallow time features. It requires lengthy ECG data to confine the information and is unable to confine the slight variation affected by the previous AF. The interfering noise signals focus primarily on separating AF from signals with a Sinus Rhythm (SR). Thus, this study would explore the detection of AF with heuristic-assisted deep learning approaches. Initially, the ECG Signals are gathered from the standard resources. Next, these gathered signals are pre-processed to perform denoising and artifact removal for enhancing the quality of data for further processes. Then, the deep feature extraction is done in two phases. In the first phase, the RR interval is extracted from the pre-processing ECG signals and the deep features are removed utilizing a Convolutional Neural Network (CNN). In contrast, deep features are employed to extract the features from the pre-processed ECG signals using the same CNN in the second phase. Then, these gathered in-depth features are fused and fed to the newly suggested heuristic algorithm called Enhanced Average and Subtraction-Based Optimizer (E-ASBO) for selecting the optimal fused features for reducing the redundancy in the signals. Finally, the chosen optimal fused features are fed to the new Adaptive Ensemble Neural Network (AENN) with heuristic adoption with the techniques such as Elma Neural Network, Deep Neural Network (DNN), and Recurrent Neural Network (RNN). This model focuses on increasing the accuracy of detecting AF. These proposed networks have more significant potential in future AF screening or clinical computer-aided AF diagnosis in wearable devices. It has superior performance and intuitive nature compared to the existing works.
Optimal relay nodes placement with game theory optimization for Wireless Sensor Networks
Authors: Radha Subramanyam , Bala G. Josemin , Rajkumar Nalluri Prophess , Indumathi G. , Nagabushanam Perattur
Published: August 2023

Wireless Sensor Networks (WSN) play a major role in the wide variety of applications like underground pipeline and leaks monitoring, temperature distribution monitoring in industrial cyber systems, military, forest life monitoring, and environmental and geographical monitoring. Sensors are widely used in these different applications. The number of sensors and the application concerned mainly decides the energy consumption, network lifetime. In this process relay nodes may help the sensors as backbone to connect with sink node or base stations. In this paper, we introduce a new approach for relay node selection in WSN to minimize the energy consumption of the network. It uses channel aware relay selection technique using game theory optimization and act as a virtual backbone in connecting to the base station. However, the relay nodes are varied to check the optimal number of relays required for the small, medium and large number of nodes deployed in the network. Simulations are carried out using Network Simulator NS-2.35 and network is analyzed in wide variety of scenarios. Results show that the proposed relay node selection algorithm reduces energy consumption, improves lifetime, throughput of the network.
Heart disease prediction (HDP) using Artificial Intelligence and IoMT for intelligent healthcare models
Authors: Syed Anwar Hussainy F. , Thillaigovindan Senthil Kumar , Sabhanayagam T.
Published: August 2023

The present growth in Internet of Medical Things (IoMT) and Artificial Intelligence (AI) paved a way for advanced healthcare systems from conventional methods. The integration of AI and IoMT provides varied chances in medical domain. With that concern, the proposed model derives a novel model for Heart Disease Prediction (HDP), incorporates IoMT and AI. The proposed model comprises of different phases of functions, as, data collection, data preparation, feature optimization and selection, classification. IoMT devices include medical or wearable sensors are used for continuous collection of medical statistics while machine learning model process the data for disease prediction. Here, a new feature selection model called Enhanced Binary Particle Swarm Optimization (EBPSO) for reducing joint feature selection problems. With the extracted features, classification is performed with Cascaded Long Short Term Memory (CLSTM) model for attaining better accuracy of medical data classification. During evaluation, the proposed HDP model achieved the maximal accuracy in disease prediction. Hence, the model can be effectively used for diagnosing heart disease in Smart Healthcare Models.
PT-TOPSIS methods for multi-attribute group decision making under single-valued neutrosophic sets
Authors: Li Yue , Cai Qiang , Wei Guiwu
Published: August 2023

Multi-attribute group decision making (MAGDM) is a flexible and complex problem due to multiple factors. Decision makers have different preferences in the face of different risks and benefits. In this paper, it proposed that the extended single-valued neutrosophic TOPSIS method based on the prospect theory (SVN-PT-TOPSIS) can be widely applied to MAGDM. It provides decision-makers with more rigorous decision-making methods. The purpose is to make the results more objective and fair and to reduce subjective errors. This paper is applied in a single-value neutrosophic sets (SVNSs) environment, which contains membership value, uncertainty value and non-membership value, and can effectively reflect the fuzzy decision state of decision makers. It also combines the CRITIC method to determine the weights and considers the psychological state of decision makers according to the prospect theory, which can effectively reduce the influence of subjective preferences on decision making. The innovations of this paper are mainly as follows. Firstly, after the score function determines the positive and negative ideal values, using the distance formula reflects the distance between each single-value neutrosophic number (SVNN) and the positive and negative ideal values. We will feel the overall quality of each scheme more directly. Secondly determine the weights using the CRITIC method based on the distance matrix of each SVNN from the negative ideal. This is not a subjective decision weight, so the influence of personal preferences on the decision can be avoided. Thirdly, the composite profit value and the composite loss value are confirmed based on the prospect theory (PT), taking into account the decision maker’s risk preferences. Finally, use the relative profit loss ratio to rank the programs. After case analysis, other classical decisionmaking methods are selected for comparative analysis of the extended TOPSIS It is confirmed that the SVN-PT-TOPSIS method is reasonable and effective, which is suitable for MAGDM problems.
Possible connections between relativity theory and a version of quantum theory based upon theoretical variables
Authors: Helland Inge Svein
Published: August 2023

An alternative approach towards quantum theory is described, and tentative attempts to connect his approach to special and general relativity are discussed. Important concepts are gauge groups and information/entropy connected to some physical systems. Some recent results on information in connection to black holes are touched upon.
PEMILIHAN SUPPLIER PADA PT MITRA DESA PAMARICAN (PENDEKATAN ANALYTICAL HIERARCHY PROCESS)
Authors: Pebriana Apdan , Unang Unang , Darusman Dedi , Helbawanti Octaviana , Apriyani Dwi , Nuraini Candra
Published: August 2023

AbstrakSupplier berperan penting dalam sebuah perusahaan karena berperan sebagai penyedia bahan baku. Bahan baku diperlukan untuk melaksanakan kegiatan produksi dengan lancar. Dalam pemilihan supplier harus dilakukan secara hati-hati agar tidak menyebabkan terganggunya proses produksi dan operasional perusahaan. Ketika mendapatkan pesanan yang mendadak dan dalam jumlah yang besar maka  perusahaan PT Mitra Desa Pamarican mengadakan musyawarah dan belum adanya prioritas supplier, kriteria dan subkriteria dalam menentukan keputusan pembelian bahan baku. Penelitian ini bertujuan untuk mengetahui kriteria, subkriteria dan supplier prioritas dalam sebuah perusahaan. Penelitian ini menggunakan metode studi kasus yang dilaksanakan di PT Mitra Desa Pamarican Kecamatan Pamarican, Kabupaten Ciamis, Jawa Barat di peroleh 3 responden yaitu Direktur Utama, Manajer Pemasaran dan Manajer Produksi dengan teknik pengambilan sampel yaitu sampel pertimbangan (Judgement Sampling). Alat analisis dalam penelitian ini menggunakan metode Analytical Hierarchy Process. Metode ini dihitung secara manual menggunakan Microsoft Excel 2016. Hasil penelitian menunjukan kriteria kualitas sebagai prioritas kriteria pertama dengan subkriteria memberikan kualitas yang konsisten menjadi prioritas pertama.  Prioritas kedua adalah kriteria kebijakan garansi dan klaim dengan subkriteria memberikan jaminan atau garansi terhadap barang menjadi prioritas pertama. Prioritas ketiga adalah kriteria harga dengan subkriteria cara pembayaran merupakan prioritas pertama. dan untuk supplier prioritas pertama adalah supplier 2 adalah Tengkulak Majenang dengan nilai bobot 2,395069606, supplier prioritas kedua yaitu supplier 3 adalah Tengkulak Karawang dengan nilai bobot 2,331940897, supplier prioritas ketiga yaitu supplier 1 adalah petani yang ada di Kecamatan Pamarican dengan nilai bobot 1,872989497.Kata Kunci : Supplier, Analytical Hierarchy Process, Gabah
OPTIMASI BIO-SLURRY PADAT PADA PERTUMBUHAN TANAMAN SAWI HIJAU (Brassica juncea L.) DI LAHAN MARGINAL
Authors: Rosida Anisa , Saputra Kelvin Andre , Maghfiroh Laila
Published: August 2023

AbstrakTujuan dari penelitian ini adalah untuk mengetahui berapa dosis bio-slurry optimum yang diperlukan untuk meningkatkan pertumbuhan tanaman sawi hijau di lahan marginal. Penelitian ini dilakukan pada bulan Juni – Juli 2022 di Desa Sidorejo, Kab. Tuban. Rancangan yang digunakan dalam penelitian ini adalah Rancangan Acak Kelompok (RAK) yang diulang sebanyak 6 kali dengan perlakuan P1 = 0 g polybag-1 (kontrol), P2 = 25 g polybag-1, P3 = 50 g polybag-1 dan P4 = 75 g polybag-1. Parameter pertumbuhan yang diamati antara lain rerata tinggi tanaman, jumlah daun dan bobot konsumsi per polybag. Data yang diperoleh kemudian dianalisis menggunakan Analysis of variance (ANOVA),  kemudian dilakukan uji lanjut BNJ pada taraf kepercayaan 5%. Dari hasil penelitian yang telah dilakukan dapat disimpulkan bahwa pemberian bio-slurry sebanyak 50 g polybag-1 dapat meningkatkan pertumbuhan tanaman sawi hijau yang meliputi tinggi tanaman, jumlah daun dan bobot konsumsi per polybag secara optimum di lahan marginal. Kata kunci : Bio-slurry, Dosis, Marginal, Pupuk, Sawi Hijau
PERSENTASE BOBOT POTONG DAN KARKAS AYAM BROILER SEBELUM PEMOTONGAN DENGAN WAKTU PEMUASAAN YANG BERBEDA
Authors: Nuha Muhammad Ulin , Primandini Yuni , Wahyuni Sri
Published: August 2023

Abstrak Tujuan penelitian untuk mengetahui persentase bobot potong dan karkas ayam broiler dengan waktu pemuasaan yang berbeda. Penelitian dilaksanakan selama 28 hari di kandang percobaan Fakultas Peternakan Universitas Darul Ulum Islamic Centre Sudirman GUPPI, Kabupaten Semarang, Provinsi Jawa Tengah.Materi yang digunakan adalah Day Old Chick (DOC) ayam broiler strain MB 202 sebanyak 80 ekor, pakan komersil, gula merah, kapur, vitachick, vitastress, formalin, KMNO4. Alat yang digunakan adalah 16 petak kandang percobaan, tempat ransum, tempat minum, brooder, lampu pijar 25 watt, thermometer, timbangan. Parameter yang diamati: persentase bobot potong dan karkas setelah dipuasakan sebelum pemotongan. Penelitian ini menggunakan metode eksperimental dengan rancangan acak lengkap (RAL) yang terdiri perlakuan dengan 4 ulangan, setiap ulangan terdiri 5 ekor ayam broiler. Perlakuan yang diterapkan yaitu:  P0 = kontrol (tanpa pemuasaan), P1 = (pemuasaan 4 jam), P2 = (pemuasaan 8 jam), P3 = (pemuasaan 12 jam). Data yang diperoleh dalam penelitian diolah secara statistik dengan analisis sidik ragam dan dilanjutkan dengan uji beda nyata (BNT).Hasil penelitian persentase bobot potong dan karkas ayam broiler sebelum pemotongan dengan waktu pemuasaan berbeda menurunkan bobot potong (P?0,05) dan meningkatkan (P?0,05) persentase bobot potong Rata-rata persentase bobot potong turun secara linier dari P0 (kontrol), P1 = 0,98%, P2 = 0,95% dan P3 = 0,93%. Persentase karkas tertinggi yaitu pada P2 (0,87%) dan P3 (0,85%) dengan pemuasaan selama 8 dan 12 jam. Kesimpulan penelitian waktu pemuasaan yang berbeda mengakibatkan menurunnya persentase bobot potong, sedangkan berat karkas mengalami peningkatan pada pemuasaan 8 jam.Kata kunci: Ayam broiler; Pemuasaan; Persentase bobot potong; dan Persentase Karkas
KARAKTERISTIK FISIKOKIMIA FOOD BAR UBI UNGU DENGAN PENAMBAHAN TEPUNG TULANG IKAN BANDENG
Authors: Wulandari Puji , Kusumasari Septariawulan , Pamela Vega Yoesepa
Published: August 2023

Abstrak Tujuan penelitian ini adalah untuk menentukan sifat fisikokimia produk food bar ubi jalar ungu yang diperkaya dengan tepung tulang ikan bandeng. Tepung tulang ikan bandeng dicampur dengan bahan lain untuk membuat formulasi adonan food bar (0 % (FB1); 1,2 % (FB2); 2,4 % (FB3); 3,6 % (FB4); 4,8% (FB5) Sifat fisikokimia yang dianalisis meliputi kadar air dan kadar abu, parameter kekerasan, dan browning index produk. Penambahan tepung tulang ikan bandeng (1,2% sampai 4,8%) dalam formulasi food bar dapat meningkatkan kadar abu, dan parameter kekerasan pada produk food bar ubi jalar, namun menurunkan browning index  mulai pada kosentrasi tepung tulang ikan bandeng 3,6%. Penambahan tepung tulang bandeng tidak mempengaruhi kadar air produk. Produk food bar ubi jalar ungu diperkaya dengan tulang ikan bandeng menunjukkan peningkatan kekerasan sebagai parameter tekstur dari 17,87 N menjadi 57,43 N.Kata kunci: tepung tulang ikan bandeng,sifat fisikokimia, food bar ubi jalar
PENGARUH JENIS PUPUK KANDANG DALAM MEDIA TANAM TERHADAP PERTUMBUHAN STEK BATANG TANAMAN LADA (Piper Nigrum L.) VARIETAS NATAR
Authors: Cahyono Yulius Eko , Widyawati Nugraheni
Published: August 2023

Abstrak Kebutuhan lada dunia mencapai 350.000 ton/tahun. Kontribusi Indonesia sebagai pengekspor lada sebesar 29% dari kebutuhan dunia. Produksi lada nasional tahun 2014 mencapai 91.941 ton. Karena produksi lebih sedikit dibandingkan dengan permintaan maka diperlukan cara untuk mengoptimalkan produksi lada. Produksi tanaman dipengaruhi oleh pertumbuhan pada tanaman, ada dua faktor yang memepengaruhi yang pertama dari faktor pembibitan dan faktor ketersediaan unsur hara. Penelitian ini bertujuan untuk mengetahui pengaruh pengaplikasian berbagai jenis pupuk kandang terhadap pertumbuhan stek tanaman lada varietas natar 1 (Piper nigrum L.).Penelitian ini dilakukan pada bulan februari sampai bulan mei 2023 di kebun percobaan kartini Fakultas Pertanian dan Bisnis, Universitas Kristen Satya Wacana Salatiga. Terdapat 4 Perlakuan yang diterapkan pada penelitian ini antara lain: Pupuk kandang Ayam(P1), Pupuk kandang Kambing(P2), Pupuk kandang Sapi (P3) dan Kontrol (P4). Setiap perlakuan diulang sebanyak 7 kali sehinga didapat 28 satuan percobaan, setiap perlakuan terdiri dari dari 5 sampel. Penelitian ini menggunakan Rancangan acak kelompok (RAK), hasil dianalisis menggunakan sidik ragam (ANOVA) dan diuji lanjut dengan uji DMRT dengan taraf nyata 5%.Dari penelitian ini perlakuan P1 mendapatkan hasil terbaik dengan tinggi tunas, Panjang akar dan Kadar krorofil daun berturut-turut 11,45 ,  4,85 dan 33,37.Kata kunci : lada (Piper Nigrum L.), Stek batang lada, pupuk kandang ayam, pupuk kandang kambing, pupuk kandang sapi.
Randomized Double-blind Clinical Trial Examining the High Intensity Interval Training and Ellagic Acid Effects on Antioxidant, and Oxidative Stress Factors in 0bese Women
Authors:   Department of Exercise Physiology, Science and Research Branch, Islamic Azad University, Tehran, Iran., Mansouridara Marjan , GhasemGheshlagi Niloofar Rajai ,   Department of Sport Physiology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran, Heydari Faeze ,   Department of Physical Education and sport science, Technical and Vocational University(TVU), Tehran, Iran.Department of Physical Education and sport science, Technical and Vocational University (TVU), Tehran, Iran, GHazalian Farshad ,   Department of Exercise Physiology, Science and Research Branch, Islamic Azad University, Tehran, Iran, Ebrahimi Sahar ,   Department of Exercise Physiology, Department of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran, Askari Roshan ,   Department of Exercise Physiology, Faculty of Physical Education and Sport Sciences, Shomal University, Amol, Iran, Rashedi Farjam ,   Department of Sport Physiology, Faculty of Faculty of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran
Published: August 2023

Background and Objectives Obesity is one of the most important concerns and problems that threaten health all over the world, and sports activity and healthy diet are the most important ways to treat and prevent it. so, this study aims to evaluate the effect of 12 weeks of high-intensity interval training (HIIT) and Ellagic Acid (EA) supplementation on oxidative/antioxidant markers in obese women. Subjects and Methods In this randomized clinical trial, 56 inactive obese women were randomly divided into four groups of HIIT, EA, EA+HIIT, and Control. The HIIT groups performed the training for 12 weeks including four 4-minute interval running at 85-95% HRpeak, 3 minutes of running at 50-60% HRpeak and 7 minutes of rest interval. EA supplement was administered at a dose of 50 mg/day for 12 weeks. Blood samples were collected from the subjects before and 48 hours after the last session to assess serum levels of glutathione peroxidase (GPx), Malondialdehyde (MDA), and total antioxidant capacity (TAC). Results There was a significant difference between EA+HIIT and HIIT groups in MDA (P=0.005), TAC (P=0.003) and GPx (P=0.0001) after intervention. There was a significant difference between the MDA and TAC values of the subjects in the studied groups after 12 weeks of HIIT with EA supplementation (P=0.0001). And this was the difference between the combined group (EA+HIIT) and other groups. Conclusion Twelve weeks of HIIT and EA supplementation can significantly improve antioxidant and oxidant factors in obese women.
The Effect of Pea and Whey Protein Isolate Supplementation on Muscle Injury Following a Session of Intense Functional Activity
Authors:   Department of Exercise Physiology, Faculty of Physical Education, Danesh Alborz University, Abyek, Iran, Hosseinzade Nahid , Rajai GhasemGheshlagi Niloofar ,   Department of Sport Physiology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran, Tahmasbi Reza ,   Department of Exercise Physiology, Factury of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran, Khorjahani Ali ,   Department of Exercise Physiology, Faculty of Physical Education, Takestan Branch, Islamic Azad University, Takestan, Iran, Ghalavand Mozafar ,   Deportment of Exercise Physiology, Faculty of Physical Education, Dezfoul Branch, Islamic Azad University, Dezfoul, Iran
Published: August 2023

Background and Objectives Supplementation with amino acids for muscle recovery can be effective on oxidative stress and muscle damage. This study aims to compare the effects of pea protein and whey protein supplements on muscle damage, delayed onset muscle soreness (DOMS), and functional performance after high-intensity functional training (HIFT) bout in untrained overweight young men. Subjects and Methods In this randomized, double-blind, placebo-controlled clinical trial, 30 untrained overweight young men were selected by a purposive sampling method and divided randomly into three different groups of pea protein (n=10), Whey Protein (n=10), and placebo (n=10). Variables related to muscle damage and DOMS were measured 24 hours after HIFT. Repeated measures ANOVA and Bonferroni post hoc test were used to compare the differences between groups. Results There was a significant difference between the two evaluation stages. There was a significant difference between the Whey protein and pea protein groups compared to the placebo group (P<0.05), but no significant difference was found between the Whey protein and pea protein groups (P<0.05). Conclusion The use of Whey protein, compared to pea protein, can reduce muscle damage and DOMS following HIFT
Preparation of Sepestan Anti-cough Syrup and Comparison of its Effectiveness With Diphenhydramine Syrup in Treating Cough in Children With Upper Respiratory Tract Infection: A Double-blind Randomized Clinical Trial
Authors:   Department of Pediatrics, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Mohtasham Neda , Zarei Ahmadi Amanollah ,   Medicinal Plants Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Alisamir Mohsen ,   Department of Pediatrics, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Maram Nader Shakiba ,   Medicinal Plants Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Larki Arash ,   Medicinal Plants Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Published: August 2023

Background and Objectives Antihistamine drugs for acute upper respiratory tract infection treatment in children have many side effects. In this study, a anti-cough syrup was prepared from Cordia (Sepestan in Persian) extract and its effect was compared to that of diphenhydramine syrup on cough relief of children with upper respiratory tract infection. Subjects and Methods This double-blind randomized clinical trial was conducted on 124 children with upper respiratory tract infection aged 6-12 years referred to Abouzar Hospital in Ahvaz, Iran during 2019- 2021 in two treatment groups. The first group was given Sepestan syrup at a dose of 20 mg/kg/day and the second group received diphenhydramine syrup at a dose of 5 mg/kg/day in four dosages. For three days, the number and severity of day-time and night-time coughs were examined and the data were analyzed with independent t-test and chi-square test in SPSS software, version 24. Results The number and severity of day-time and night-time coughs in the group received Sepestan syrup significantly decreased compared to the diphenhydramine group, without any side effects (P<0.001). Conclusion High polysaccharides, strong antioxidants, and anti-inflammatory compounds of Sepestan can reduce throat irritation and soften the chest. The mucilage in the Sepestan extract can dissolve in water and produce a viscous substance such as gelatin that cause softening of the breast and expectoration.
Kemoterapi Alan Meme Kanserli Kadınların Ağrı Distresi Şiddeti ve Yorgunluk Düzeyleri Arasındaki İlişki: Tanımlayıcı Kesitsel Bir Çalışma
Authors: ZORBA BAHÇELİ Pınar , ARIKAN DÖNMEZ Ayşe , ÜNVER Gamze , KAPUCU Sevgisun
Published: August 2023

Bu çalışmada kemoterapi alan meme kanserli kadınlarda ağrı distresi ile yorgunluk düzeyleri arasındaki ilişkinin belirlenmesi amaçlanmıştır. Tanımlayıcı ve kesitsel tipte yapılan çalışma bir devlet üniversitesinin onkoloji hastanesinin ayaktan kemoterapi ünitesine tedavi almak için gelen 147 meme kanserli kadın hasta ile tamamlandı. Araştırma verileri, araştırmacılar tarafından yüzyüze Tanıtıcı Bilgi Formu, Görsel Analog Skala, Kısa Yorgunluk Envanteri ve Ağrı Distres Envanteri kullanılarak toplandı. Kadınların %61.9’u ağrı nedeniyle ilaç kullandığını, %38.8’inin ise ağrı için parasetamol grubu ilaç kullandığını belirtti. Katılımcıların Kısa Yorgunluk Envanteri alt boyut ve toplam puan ortalamaları ile ameliyat türü, ağrı için ilaç kullanma durumu ve ağrı için kullanılan ilaç türü arasında anlamlı fark olduğu belirlendi. Hastaların Ağrı Distres Envanteri alt boyut ve toplam puan ortalamaları ile ağrı için ilaç kullanma durumu, ağrı için kullanılan ilaç türü ve ağrıyı artıran durumlar arasında anlamlı fark olduğu belirlendi. Kısa Yorgunluk Envanteri toplam puanı ile Ağrı Distres Envanteri toplam puanı arasında pozitif yönde anlamlı zayıf bir ilişki olduğu belirlendi. Çalışmamızda, kemoterapi alan meme kanserli kadınlarda orta şiddette yorgunluk ve ağrı distresi yaşadıkları ve ağrı distresi şiddeti ve yorgunluk durumunun birbiri ile ilişkili olduğu belirlendi. Hemşirelerin hastalarına yönelik hazırladıkları bakım planlarında, meme kanserli kadınlara ağrı distresi ve yorgunluğu etkili bir şekilde yönetilebilmelerine ilişkin girişimlere de yer vermeleri önerilmektedir.
Desenvolvimento de pastilhas ecossustentáveis potencializadas com extrato de plantas com ação microbiana para o gerenciamento de odores em banheiros de escolas públicas
Authors: Silva Izael Oliveira , Santos Gilvania Moreira dos , Santos Evilazio Vicente dos , Souza Maria Eduarda da Silva , Rozendo Aucirnanda Vitória da Silva , Lima Ianês Vieira de , Santos Diogo Tiago dos
Published: August 2023

O uso de práticas sustentáveis nos sistemas sépticos é essencial para garantir um ambiente saudável aos estudantes no ambiente escolar, além de reduzir os impactos no meio ambiente. As pastilhas ecossustentáveis ou ecoeficientes formuladas com compostos naturais, bioativos e biodegradáveis, estão sendo projetadas para otimizar o tratamento de resíduos orgânicos nos sistemas sépticos da escola. O trabalhando de BUSCHER; JACQUELINE GABRON (2012) relatam que o uso de produtos naturais com atividades antimicrobianas pode reduzir a emissão de gases nocivos contribuindo desta forma na segurança e saúde dos usuários dos banheiros das escolas. A preocupação com a promoção da higiene e o funcionamento sustentável dos sistemas sépticos no banheiro das escolas se tornou uma prioridade e a busca por soluções ecologicamente corretas e eficientes ganhou ainda mais destaque e importância. Neste contexto, alunos de Iniciação Cientifica (IC) do Ensino Fundamental 2 da Escola Municipal José Marcos da Rocha, localizada na área rural sob a orientação dos professores do Centro Educacional Robótica e Inovação CEPRI/SEMED, estão desenvolvendo pastilhas ecossustentáveis como alternativa de neutralizar os gases fétidos e promover um ambiente mais agradável nos banheiros da escola.
Fundamentos, potencialidades e aplicações de biossensores: uma atualização
Authors: Sobrinho Alessandra Carla Guimarães , Teixeira Bruno José Brito , Sobrinho Alexandre Carlos Guimarães , Souza Jesus Nazareno Silva de
Published: August 2023

A área da Química Analítica que tem experimentado uma expansão significativa e acelerada é a do desenvolvimento de sensores eletroquímicos. Essa evolução é motivada, em grande parte, pelos novos obstáculos que surgem no processamento de amostras de interesse ambiental, clínico e industrial. Nesse contexto, a demanda por sensores mais eficientes, que apresentem características como alta sensibilidade, seletividade e estabilidade, tem crescido consideravelmente. Ainda que os sensores eletroquímicos apresentem grande versatilidade e perspectivas promissoras, é comum que a utilidade de um eletrodo seja limitada, dentre as limitações deste método eletroquímico imposta pelos detectores, destacam-se a alta dependência do sinal eletroquímico com a vazão do eletrólito/amostra do detector eletroquímico. Assim, pequenas oscilações na vazão devido à pulsação do carregador da amostra causam variações no sinal eletroquímico, que compromete a sensibilidade da análise. Essa estabilidade dos sinais eletroquímicos é estabelecida pela taxa de transferência de carga (elétron) entre o eletrodo e a espécie eletroativa (presente na interface eletrodo-solução) que depende das condições de superfície dos sensores (eletrodo) (AGUIAR et al., 2006). Dentro deste contexto, surgiu como alternativa o desenvolvimento de eletrodos quimicamente modificados (EQM) em 1970, a fim de modificar a reatividade e especificidade do sensor base, é possível pré-estabelecer e controlar a natureza físico-química da interface entre o eletrodo e a solução. Um exemplo de eletrodo quimicamente modificado são os biossensores (CHO et al., 2020). Tecnicamente falando, o biossensor é um fenômeno que retém técnicas estabelecidas para a produção de um sinal de detecção acessível de interação entre moléculas biológicas. Os biossensores podem ser usados em diferentes áreas (ALTUG et al., 2022). Nesse sentido, o artigo visa apresentar os fundamentos, potencialidades e aplicações sobre os biossensores.
Gestão centralizada e automatizada dos acessos lógicos
Authors: Boaro Ricardo de Oliveira
Published: August 2023

Este estudo buscou apresentar as principais vantagens que a gestão centralizada de identidade pode trazer para uma empresa, independente do seu tamanho ou seguimento. A ideia é garantir o controle de acesso dos usuários nas aplicações e/ou recursos de forma automatizada e centralizada. Pois dessa forma, a instituição garante a segurança da informação, a conformidade aos itens de auditoria e medidas que impactam positivamente o negócio. Não iremos aprofundar na parte técnica, pois existem diversas soluções no mercado, onde cada empresa analisará a melhor que se adeque ao seu tipo.
ПОРІВНЯЛЬНА ГРАМАТИКА ЯК ВАЖЛИВИЙ КОМПОНЕНТ ПІДГОТОВКИ ПЕРЕКЛАДАЧІВ
Authors: КАРПУШИНА Майя
Published: August 2023

Дослідження стосується сучасних тенденцій у порівняльній граматиці та її важливої ролі в підготовці перекладачів. Актуальність дослідження зумовлена ключовою роллю порівняльної граматики у підготовці письмових/усних перекладачів, оскільки її метою є аналіз граматики вихідної та цільової мов і використання відповідних шаблонів у процесі перекладу, тому вивчення сучасних тенденцій у розвитку цього предмету вимагає систематичного дослідження. Отже, метою статті є вивчення сучасних тенденцій у вибраному дослідженні та визначення можливих варіантів застосування його результатів у підготовці перекладачів. Питання порівняльної граматики стали предметом досліджень багатьох науковців упродовж історії, зокрема Франца Боппа, Вільгельма фон Гумбольдта, Едварда Сепіра, Ноама Хомського, Пантелеймона Куліша та інших. Сучасні дослідники (Мона Бейкер, Марія А. Гомес-Гонсалес, Дж. Лаклан Макензі та Ельза Гонсалес, Вільям Крофт, Ю. Жлуктенко та А. Левицький, І. Корунець, О. Гавриш, І. Грачова, С. Буленок та інші) зробили помітний внесок у цю лінгвістичну галузь, але все ще є простір для подальших досліджень, зокрема, коли це стосується сфери перекладу. У статті аналізуються основи підготовки майбутніх перекладачів, які включають краще розуміння мови оригіналу та мови перекладу, зокрема граматичних, семантичних особливостей; здатність розпізнавати та виправляти помилки; більш інтенсивне міжкультурне спілкування. Сучасні тенденції у дослідженні порівняльної граматики дають підстави вважати її вирішальним компонентом підготовки перекладачів, бо глибоке розуміння граматики як вихідної, так і цільової мов, формує здатність точно й ефективно передавати значення, долати мовні бар’єри. Ґрунтовно розглянуті дослідження дозволили скорегувати робочу програму навчальної дисципліни з порівняльної граматики англійської та української мов, яка включає основні поняття синтаксису, морфології та фонології, типології мови, порівняльного методу, граматичних структур, семантичного аналізу та аналізу дискурсу. Для досягнення результатів навчання були запропоновані деякі методи, серед яких порівняльний аналіз, практичні заняття, мультимедійні ресурси, групова робота, лекційне навчання, проблемне навчання, мовне занурення тощо. Аналітичне дослідження та прагматичний підхід дозволив добрати низку розумних стратегій для ефективного викладання порівняльної граматики (викладання основ, використання реальних прикладів, заохочення критичного мислення, використання різноманітних методів навчання, забезпечення зворотного зв’язку та підтримки). Подальше дослідження стосуватиметься функціональної граматики та зв’язку між граматикою, дискурсом і контекстом.
Neural Network Based Recursive Least Square Technique for Indoor Wireless Positioning
Authors: Adhikari Bhagawat
Published: August 2023

Location Based Services (LBS) in the realms of Smart City realizations require accurate real time positioning information of objects and people indoors. Both VLC based and the RF based positioning techniques have been studied in the literature. In RF system, we use Recursive Least Square (RLS) multilateration algorithm to estimate the position of unknown target indoor. The RLS multilateration algorithm is based on the trilateration solution using algebraic method. Solution obtained from the trilateration is used in RLS algorithm and the solution is updated recursively. Since Machine Learning (ML) is one of the widely used approaches to improve the accuracy in indoor positioning, we have used Artificial Neural Network (ANN) to fine tune the simulated distances with Rician noise. Therefore, the proposed technique hybridizes RLS with Artificial Neural Network (ANN) to solve a multilateration problem of different sets of anchor nodes. 

We use MATLABTM for the simulation purpose. While simulating distances, Rician noise is considered for anchor-target distance and, noisy distances are fed into ANN filter. Instead of using directly simulated distances, estimated distances from ANN are used for RLS implementation. Results from the hybrid RLS-ANN are compared with pure RLS, pure least square (LS) and LS-ANN approaches. Hybrid RLS-ANN provides the least Root Mean Square Error (RMSE) among all the techniques and improves the accuracy up to 80% compared to the pure LS multilateration technique. Complexity of the proposed technique is relatively low with significantly increased accuracy. 

We also compare the results with different sets of anchor nodes for RLS implementation. Hybrid RLS-ANN algorithm is used for anchor nodes N = 4 to N = 10. Comparing the results, it has been shown that as the number of anchor nodes increases, the RMSE decreases steadily. RLS multilateration with large number of anchor nodes performs better than LS multilateration. On the other hand, distance error is largely reduced by using ANN training and RLS with ANN estimated distances further improves the accuracy. 

In VLC system, we analyze the impact of SNR on indoor positioning. VLC indoor positioning is analyzed based on SNR distribution on the room indoor. Distance measurement is analyzed with three parameters: angle of incidence, angle of irradiance and transmitter FOV. Since SNR has the direct impact on the VLC indoor distance measurement, a comparative study of the SNR variation with respect to transmitter FOV, receiver FOV, angles of incidence and irradiance is presented, and corresponding distance measurement error is analyzed. 