bluuebunny/crossref_metadata_2025_split huggingface dataset:
CHEMICAL COMPOSITION AND ANTIOXIDANT ACTIVITY OF Pelargonium graveolens OIL
Authors: & Jaber Obeid 
Published: November 2022

A comparison was conducted between volatile oil of the plant parts leaves and stems of Pelargonium graveolens as antioxidant by using the compound DPPH as a free radical. This study aimed at isolation and diagnosis the active compounds of the volatile oil .The volatile oil was extracted by using the water distillation Clevenger .Volatile oils were detected by using the liquid gas chromatography. The results showed that 100 g of leaves and steams produced a volatile oil estimated by 5% and 2.3% respectively. The study has shown that volatile oil of leaves contains 12compounds and the highest was Terpineol reaching 31.52% , Camphor 7.06 % and Cis-alpha-Bisabolene 4.38%. The study showed that volatile oil in steams contains 10 compounds and Linalool represented the highest (3.00%), followed by Camphor (2.76 %), then (E) –B-Farnesene (2.31 %). The results also showed high volatile oil antioxidant activity in both leaves and steams at the concentration 125 µg ml-1 reached 100 % compared with Ascorbic Acid when studying the effect of their oxidative effect on the free radical DPPH, the results also indicate significant differences between the volatile oil concentrations in both leaves and steams.
ASSESSMENT OF GENETIC DIVERSITY AMONG MELON ACCESSIONS USING GRAPHICAL PRINCIPAL COMPONENT AND CLUSTER ANALYSIS
Authors: & et al. Naroui Rad 
Published: November 2022

Iran is a part of the secondary center of origin of melons, and therefore, there is a wealth of genetic variation of these species in this country. In this work, 14 morphological traits were studied in order to select the most discriminating traits. Significant difference among accessions was revealed for almost quantitative traits. KMO coefficient obtained was 0.723 that is explaining of appropriation of this test. The results of the principal component analysis (PCA) for the morphological traits indicated that the first three PCs explained 53.46% of the total variation. Principal component analysis results (PCA) for morphometric data indicated that samples of Semnan and Khorasan showed high degree of variation and were highly different from Sistan and this approved by cluster analysis. Cluster analysis grouped the 36 accessions into three clusters confirming the diversity of the collection that can be useful for selection and source of desired genes.
STUDY OF MOLECULAR COMPOSITION OF VIRULANCE BACTERIA ISOLATED FROM BOVINE MASTITIS WITH BIOFILM PRODUCTION
Authors: Nadhom B. N. 
Published: November 2022

This study was carried out in order to isolate and diagnosis of common bacteria from bovine mastitis in Baghdad city which have the ability to produce biofilm and detect its molecular composition. Twenty five milk samples were collected from different regions in Baghdad city from udders of cows suffering from clinical and subclinical mastitis.Then cultured on blood agar. Gram staining was done to differentiate between bacteria gram positive which cultured on Mannitol Salt Agar and Nutrient Agar while gram negative bacteria were cultured on MacConkey agar and Eosin Methylene Blue agar. All bacterial isolates were subjected to different biochemical tests, API 20 E System, API Staph System and RapIDTMONE System kit to confirm the diagnosis.Christensen tube method was used to detect the ability of the diagnostic bacterial isolates to produce biofilm. Specific forward and reverse primers were designed according to a program from NCBI-Genbank for Staphylococcus aureus (Genbank code: gb |KR265472.1|), for Escherichia coli : gb|JQ781567.1| and for Klebsiella pneumoniae gb|KT944736.1|, To study the sequence of these genes after amplification of 16srRNA genes by using PCR was appeared because it is sensitive and highly specific assay serve as suitable molecular diagnostic tool for detection and compare these genes sequencing with references strains.Results showed that 8 (32%) out of 25 milk samples were positive for Staphylococcus , 6 (24%) out of 25 samples were positive for Klebsiella pneumonia . and 11(44%) were positive for E.coli . The results showed that 22 (88%) isolates out of 25 milk have the ability to produce biofilm . Genetic identities results showed that Staphylococcus aureus and Klebsiella pneumonia isolates gave 99% matching and resembling the reference strains while Escherichia coli isolates identity showed resemble match of 100% with the reference strain
ACTIVITY OF BACTERIAL ANTIBIOTICS AGAINST SOME PATHOGENIC BACTERIA ISOLATED FROM CALVES DIARRHOEA IN BAGHDAD (part I)
Authors: & Ibrahim Abdulridha 
Published: November 2022

This study was aimed to isolate, identify and characterize the bacterial pathogens causing calf diarrhea in Baghdad province and study it's susceptibility toward different antibiotics. The study was conducted on 105 faecal samples collected directly from the rectum of diarrhoeic calves and brought to the laboratory for bacteriological examination. Isolation and identification of the microorganisms were confirmed on the basis of their, staining, cultural, morphology and biochemical tests. Furthermore, antibacterial test was study for different clinical isolates of pathogenic bacteria toward varying concentration of antibiotics by disc diffusion technique. samples were examined for the isolation of bacteria of which 45 (42.85%) samples were positive for E. coli, 22 (20.95%) samples were positive for Salmonella spp, 16 (15.23%) samples were positive for Staphylococcus, 12 (10.5%) samples were positive for Mixed infection, 10 (9.52%) samples were negative for bacteria. The susceptibility study revealed that most of the E. coli, Salmonella spp., and Staphylococcus spp. were resistant to ampicillin, amoxicillin, erythromycin, gentamicin, tetracycline, streptomycin and trimethoprim / sulfamethoxazole with varying percentages, and susceptible to ciprofloxacin and azithromycin. The findings of the present study indicate that the clinical isolates of pathogenic bacteria resistance to a number of bacterial antibiotics.
SelectQ: Calibration Data Selection for Post-Training Quantization
Authors: Zhang Zhao , Gao Yangcheng , Fan Jicong , Zhao Zhongqiu , Yang Yi , Yan Shuicheng 
Published: November 2022

<p>Post-training quantization (PTQ) can reduce the memory footprint and latency for deep model inference, while still preserving the accuracy of the model, with only a small unlabeled calibration set and without the retraining on full training set. To calibrate a quantized model, current PTQ methods usually randomly select some unlabeled data from the training set as calibration data. However, we prove that the random data selection would result in performance instability and degradation for the activation distribution mismatch. In this paper, we attempt to solve the crucial task on optimal calibration data selection, and propose a novel one-shot calibration data selection method termed SelectQ, which selects specific data for calibration via dynamic clustering. SelectQ uses the statistic information of activation and performs layer-wise clustering to learn an activation distribution on training set. For that purpose, a new metric called Knowledge Distance is proposed to calculate the distances of activation statistics from centroids. Finally, after calibration by the selected data, quantization noise can be alleviated by mitigating the distribution mismatch within activations. Extensive experiments on ImageNet dataset show that our SelectQ increases the Top-1 accuracy of ResNet18 over 15\% in 4-bit quantization, compared to randomly sampled calibration set. It's noteworthy that SelectQ does not involve both the backward propagation and Batch Normalization parameters, which means that it has fewer limitations in practical applications. </p>
Empirically adapted model for the Handling of Variable Geometries with Vacuum-based Granulate Grippers
Authors: Wacker Christian , Dierks, Niklas 
Published: November 2022

<p> Current industrial trends show an increasing demand for individualized products, which require highly flexible yet automated production systems. Universal handling systems offer an efficient solution for the flexible and safe handling of differing component geometries and shapes. An innovative gripper for form-flexible handling combining vacuum systems with the flexibility of granulate grippers was established in previous research and has continued to prove its flexibility by gripping wide varieties of object geometries. The current challenge of modelling and predicting gripping forces for this new gripper is addressed in this research. Multiple object geometries are selected and examined, with the parameters affecting the air permeability being the most important influence for the gripping forces. Along with an overview of influencing factors and parameters, a framework for a linear model enabling the prediction of gripping forces for different object shapes is developed. The basis for automated prediction of gripping strengths for different types of objects is established with this research and could be adapted with other, non-analytical models such as machine learning in the future. </p>
Weighted Linear Fractals
Authors: Kak Subhash 
Published: November 2022

<p>Linear fractals associated with weights are investigated. Such fractals are important from a conservation law perspective that is relevant in a variety of physical systems such as materials science, sand dune fractals, barred galaxies, as well as in temporal processes like the EEG. Weighted fractals lead to distributions that are consistent with the ubiquitous power law and the first digit phenomenon. Two linear fractal algorithms that are near optimal in the information theoretic sense are described. It is proposed that one mechanism for the emergence of these fractals is the indistinguishability amongst the particles in the evolution and transformation of physical systems.</p>
Capacity Enhancement of 5G 4T4R network using multiple non orthogonal polarization antenna system with transmitter beam angular diversity
Authors: Minz Laxmkant 
Published: November 2022

<p>This work provided a study of multiple polarization for use in a MIMO system. Currently, only 2 polarization MIMO system model is in use. However, there are multiple antennas in Tx and Rx sides, therefore, increasing the number of polarization equivalent to the number of antennas can improve MIMO channel capacity. </p>
<p>We experimented with different combinations for polarization for 4T4R MIMO system. The 4 suitable polarization obtained is further studied for higher capacity with Transmitter Beam Angular Diversity. Tranmistter Beam Angular Diversity reduce the correlation among non orthogonal polarization channel and improve MIMO system capacity.</p>
An Upwind Condition-Based Hybrid FDTD-PITD Method for Multi-scale Electromagnetic Problems with Fine Structures
Authors: Ma Liang , Ma Xikui , Chi Mingjun 
Published: November 2022

<p>Multiscale problems with fine structure, involving electrically small fine details and relatively uniform areas, are posing significant challenges to any single algorithm in computational electromagnetics. Thus, a hybrid method combing the finite-difference time-domain (FDTD) method with the preciseintegration time-domain (PITD) method is proposed to handle such problems in this letter. For the hybrid method, the field values in the FDTD and PITD domains are calculated separately and independently. The information exchange between two solution domains is achieved by correcting the interface field components via the upwind condition. Several numerical experiments demonstrate the advantage of the hybrid method.<br>
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Impact Assessment of Weather Dependent Dynamic Transmission Line Capacity on Renewable Penetration in an Indian Transmission Grid
Authors: Gupta Piyush , Paul Subho , Padhy Narayana 
Published: November 2022

<p> The electricity demand is increasing day by day and that is exhausting limited conventional energy resources rapidly. Thus, renewable energy is becoming very attractive source of electricity to meet the load and prevent the global warming threat. The challenges in integration of renewable energy sources are its intermittency and old existing power system infrastructure. Renewable energy sources collocated with energy storage facilities can mitigate the effect of renewable energy uncertainty. However, high penetration of green energy is only possible by upgrading the existing power system network. Most of the time transmission lines are under loaded from its actual power handling capacity, as worst possible power handling capacity of line is considered while scheduling power to generators. Actual power capacity of line depends on many environmental factors and changes accordingly with the weather conditions. This article elucidates the impact of weather variation on economic operation of a practical Indian 75 bus power system network placed at Uttar Pradesh, India. The simulation is carried out by accounting the proposed solar power plants in that region and the effect of dynamic line rating on renewable curtailment, thermal power fuel cost and line congestion has been studied. </p>
Detecting moments of distraction during meditation practice based on changes in the EEG signal
Authors: Pandey Pankaj , Rodriguez-Larios Julio , Miyapuram Krishna Prasad , Lomas Derek 
Published: November 2022

<p>Electroencephalography (EEG) enables online monitoring brain activity, which can be used for neurofeedback. One of the growing applications of EEG neurofeedback is to facilitate meditation practice. Specifically, EEG neurofeedback can be used to alert participants whenever they get distracted during meditation practice based on changes in their brain activity. In this study, we develop machine learning models to detect moments of distraction (due to mind wandering or drowsiness) during meditation practice using EEG signals. We use EEG data of 24 participants while performing a breath focus meditation with experience sampling and extract twelve linear and non-linear EEG features. Features are fed to ten supervised machine learning models to classify (i) Breath Focus Awake (BFA) vs Breath Focus Sleepy (BFS), and (ii) BFA vs Mind Wandering (MW). We observe that the linear features achieve a maximum accuracy of 86% for classifying awake (BFA) and sleepy (BFS), whereas non-linear features have more predictive ability for classifying between BFA and MW with a maximum accuracy of nearly 78% . In addition, visualization of unsupervised t-SNE lower embeddings supports the evidence of distinct clusters for each condition. Overall our results show that machine learning algorithms can successfully identify periods of distraction during meditation practice in novice meditators based on linear and non-linear features of the EEG signal. Consequently, our results have important implications for the development of mobile EEG neurofeedback protocols aimed at facilitating meditation practice. </p>
Hubungan Masa Kerja Terhadap Keluhan Shoulder Pain Pada Fisioterapis Di Kota Bandung
Authors: Kartika Elisabeth Dewi , Amir Trisia Lusiana , Priatna Heri 
Published: November 2022

Pendahuluan: Cedera muskuloskeletal pada fisioterapis tampaknya memiliki tren yang meningkat terkait dengan tahun kerja. Perubahan besar dari tren ini, bahwa cedera muskuloskeletal terjadi pada mereka yang bekerja selama lebih dari 15 tahun sebagai fisioterapis. Penelitian ini bertujuan untuk mengetahui hubungan masa kerja terhadap keluhan shoulder pain pada fisioterapis di kota Bandung. Metode: Penelitian bersifat deskriptif kuantitatif dengan jenis cross sectional teknik survei. Total sampel adalah 85 fisioterapis (51 perempuan dan 34 laki-laki) dengan kriteria yang ditentukan. Sampel yang mengeluh shoulder pain selanjutnya diukur menggunakan SPADI (The Shoulder Pain Disability Index). Hasil: Uji hipotesis menggunakan chi square pada α=0,05 didapatkan p=0,026 dengan OR(IK95%)=3,102(1,12–8,61). Menunjukan terdapat hubungan antara masa kerja dengan keluhan shoulder pain. Fisioterapis dengan masa kerja >10 tahun berisiko 3,102 kali mengalami keluhan shoulder pain dibanding masa kerja ≤10 tahun. Kesimpulan: Terdapat hubungan yang signifikan antara masa kerja fisioterapis terhadap keluhan shoulder pain.
Goniometer Pintar Untuk Observasi Gerak Lutut Pasien Pasca Tindakan Fiksasi
Authors: Octabery Ego , Agung Sucipto Putra Wisnu , Paronda Abdul Hafid 
Published: November 2022

Goniometer terbuat dari material berbentuk mirip dengan penggaris yang dilekukan. Lekukan goniometer ini menandai derajat bukaan sendi lutut. Derajat bukaan lutut ini memberikan besar nilai RoM. Goniometer dengan bentuk serupa penggaris ini memiliki kekurangan, kekurangan terletak pada ketepatan pengukuran berulang saat melakukan bukaan lutut, pencatatan bukaan lutut pasien secara berkala, pasien tidak bisa melakukan terapi secara mandiri. Untuk dapat mengatasi situasi tersebut, teknologi alternatif bisa membantu yaitu membuat sebuah goniometer dengan tiga fitur utama, yaitu pengukuran orientasi arah gerakan lutut, pengukuran orientasi arah gerakan lutut dibuat berbasis sensor MPU-6050 dan Arduino Nano. Sensor MPU-6050 merupakan sensor yang digunakan sebagai peralatan utama mengukur Range of Motion (RoM) sendi lutut. Antar muka pemandu exercise, yang merupakan fitur dengan fungsi sebagai fisioterapis virtual yang akan memandu pasien melakukan gerakan exercise secara mandiri. Dan sistem bank data, yang mana fitur ini digunakan untuk menyimpan seluruh data riwayat medis dalam proses fisioterapi ini. Dari hasil pengujian menunjukkan bahwa dapat dirancang dan dibangun sebuah alat goniometer pintar yang dapat mengukur sudut capaian ekstensi kaki pada latihan Range of Motion (RoM) tanpa perlu mengukur secara manual dengan menggunakan penggaris goniometer dengan keakuratan yang cukup baik dengan nilai error alat keseluruhan adalah 1.774 % dan error terbesarnya 2.75%. Antar muka pemandu exercise khususnya pada gambar gerak lutut mengalami error pada saat bukaan sudut melebihi 95° dan bank data berhasil menyimpan data bukaan sudut pasien.
Penatalaksanaan Fisioterapi Kasus Carpal Tunnel Syndrome Pada Pekerja Kantoran
Authors: Maratis Jerry , Guspriadi Eko , Salim Catherine Hermawan , Laowo Erni Selfiyan , Sodik Sehab 
Published: November 2022

ABSTRAK
Tujuan: Fokus pada case report ini adalah penatalaksanaan fisioterapi pada kasus carpal tunnel syndrome pada pekerja kantoran. Metode: Pre dan post test. Pasien dengan nama Tn. JR laki-laki berusia 34 tahun seorang pekerja kantoran. Tanggal 27 januari pasien datang ke klinik Fisioterapi Esa Unggul dengan mengeluh sakit dan kesemutan pada pergelangan tangan. Diberikan intervensi oleh fisioterapi berupa penggunaan orthosis, modalitas TENS, US, Teknik manual terapi, dan terapi latihan. Hasil: Pada nilai VAS nyeri gerak, tekan, dan diam nilai masing-masing sebelum intervensi : 7-8-3, setelah intervensi : 2-3-0. ROM radial-ulnar deviasi and dorsi-palmar fleksi sebelum intervensi S=600-00-500 dan T=300-00-200, setelah intervensi S=650-00-700 dan T=450-00-400. Kekuatan otot dinilai dengan MMT : dorsi fleksi , palmar fleksi, , radial deviasi, ulnar deviasi sebelum intervensi : 4-4-3-4, sesudah intervensi : 5-5-4-5. Kesimpulan: Pemakaian orthosis, modalitas TENS, US, Teknik manual terapi, neuromobiliasi, dan terapi latihan efektif dalam menurunkan nyeri, kekuatan otot, meningkatkan ROM, dan meningkatkan aktivitas fungsional pada kasus carpal tunnel syndrome.
PERILAKU PENJAMAH MAKANAN DALAM PENERAPAN PERSONAL HYGIENE DI INSTALASI GIZI RSJ MENUR SURABAYA TAHUN 2022
Authors: Athaya Rahma Dewi  , Hadi Suryono  , Setiawan  
Published: November 2022

The application of hygiene for food handlers is very important to create food safety. A preliminary survey conducted at the Nutrition Installation of Menur Mental Hospital in Surabaya found that food handlers still did not apply personal hygiene optimally. The purpose of this study was to describe the behavior (knowledge, attitudes, facilities and infrastructure, and family support) of food handlers in the application of personal hygiene at the Nutrition Installation of Menur Mental Hospital in 2022.
This type of research was descriptive with a cross-sectional approach. The population was 18 workers and used total sampling. Data collection techniques using questionnaires and interviews. The variables in this study include knowledge, attitudes, facilities and infrastructure, and family support.
The results showed that the application of personal hygiene for food handlers at the Nutrition Installation of RSJ Menur Surabaya for knowledge included in the good category 94% and the sufficient category 5.6%. The attitude included in the good category were 83.3% and the sufficient category was 16.7%. All of the facilities and infrastructure in the adequate category, namely 100%. Family support was include in the category of suporting 88.9% and not suporting 11%.
It is hoped that the Hospital, especially the Nutrition Installation, will routinely provide education about the stages of washing hands with soap and complete the instructions for the stages of washing hands. For other researchers, they can develop this research related to the relationship between family support and the level of economic income.
PUBLIC LEADERSHIP ROLES, PROFESSIONAL IDENTITY, AND QUALITY OF WORK LIFE: A STRUCTURAL EQUATION MODEL ON SATISFACTION OF EMPLOYEES IN THE LOCAL GOVERNMENT
Authors: Letty Q. Poliquit  , Victoria O. Ligan  , Alberto N. Bandiola  
Published: November 2022

This non-experimental quantitative study established the best-fit structural model for employee satisfaction (ES) with public leadership roles (PLR), professional identity (PI), and quality of work life (QWL) as the exogenous latent variables. The stratified random sampling method selected the four hundred local government employees in Region XI to participate in the survey. Data analysis yielded the following results: The mean statistic showed very high levels of professional identity and employee satisfaction compared to the high levels of public leadership roles and work-life quality. Pearson r revealed a significant and positive relationship between public leadership roles, professional identity, quality of work-life and employee satisfaction. The multiple regression analysis revealed that public leadership roles, professional identity, and quality of work-life significantly influence employee satisfaction by 58.6 percent. The Structural Equation Modeling (SEM) bared that two exogenous latent variables predict employee satisfaction: public leadership roles (indicated by network governance and political leadership) and professional identity (characterized by knowledge and philosophy of the profession, attitude, engagement behavior, and interaction are predictors of employee satisfaction). In addition, employee satisfaction has these indicators: leadership and planning, corporate culture and communication, role in the organization, work environment, training, development and resources, pay and benefits, and overall employment experience. These findings are relevant to Human Resource Management Offices in the public and private sectors, with implications for employment policies, especially for employees career growth.
KEYWORDS:	public administration, local government employees, public leadership roles, professional identity, quality of work-life, employee satisfaction, SEM, Philippines