bluuebunny/crossref_metadata_2025 huggingface dataset:
RETROSPECTIVE ANALYSIS OF CHANGING TRENDS IN PRESENTATION AND MANAGEMENT OF ADENOMYOSIS
Authors: J Soundarya , C.R Anuradha
Published: November 2022

Background Adenomyosis is a challenging clinical condition, usually diagnosed between 35 to 50 years of age, with
prevalence among hysterectomy ranged from 8.8% to 61.5%. Women with adenomyosis have a prole of symptoms
which includes abnormal uterine bleeding, dysmenorrhea, dyspareunia, chronic pelvic pain and subfertility. The condition was diagnosed
pathologically in hysterectomy specimens by microscopy but now preoperative diagnosis is done by magnetic resonance imaging (MRI) and
transvaginal sonography (TVS) and medical or surgical treatments are proposed as per the diagnosis. The diagnosis of adenomyosis as such
becomes difcult due to the coexistence with other conditions like endometrial hyperplasia and uterine leiomyomas. Methods This is a
retrospective, cross-sectional study done among 100 women admitted in the Gynaecology ward in Chettinad Hospital and Research Institute,
Kelambakkam during the period of August 2019 to August 2020. Women with complaints of abnormal uterine bleeding and had hysterectomy
were included. The patient's data were retrieved from the subject's case sheets obtained from Medical Records Department. The
histopathological examination reports were retrieved from the Department of Pathology. The data collected were listed in Microsoft Excel v365
and interpreted using statistical software SPSS v21. Results Among the subjects, 35% were found to have adenomyosis in the histopathological
diagnosis. Out of those, 6% had only adenomyosis followed by 11% with leiomyoma, 13% with endometrial hyperplasia and 5% with both
leiomyoma and endometrial hyperplasia. 71.4% of adenomyosis were in 41 -50 years age group and 80% were multiparous. The most common
presenting symptom in adenomyosis subjects were Menorrhagia (74.3%) followed by Dysmenorrhoea and Intermenstrual Bleeding with almost
50%. Conclusion Over the few years, a dramatic change has been attained in presentation and management of adenomyosis. It has turned into a
clinical diagnosis rather than a histological entity and can be appreciated through imaging techniques, even though a common denition and
classication are still in paucity. This will be of maximum concern in the forthcoming years as the disease needs to have a enduring treatment and
so it has to be diagnosed earlier to provide better medical or surgical therapies and to avoid hysterectomy.
STUDY OF EFFECTIVENESS OF SOLUBILITY TEST FOR SICKLE CELL DISEASE IN FEMALES IN REPRODUCTIVE AGE GROUP AS SCREENING TOOL AND HEMATOLOGICAL CHANGES DURING ANTENATAL VISITS – INSTITUTIONAL ANALYSIS.
Authors: Pawar Gaurav , Sharda Bela , Korant Chandradevi , Ratanpara Kirtan
Published: November 2022

Sickle cells Disease is a result from inheritance of sickle cell gene that codes for Beta- globin chain. This change leads to
single base A →T in the sixth codon of Beta globin gene so that there is substitution of thymine for adenine, this in turn
causes substitution of valine for glutamic acid at position 6 of β polypeptide chain. The purpose of the Retrospective study is to identify Context:
unknown identities in Tribal Zone having Sickle cell Disease as well to trace such females in Reproductive age groups. Utility of Aims:
Solubility test in early detection and identifying the cases with Sickle disease and reliability of the Methodology. Study Setting And Design:
conducted on females with different trimesters, Total 853 patients from Antenatal clinic, period of three months from October to December 2021.
Methods And Material: We collected the data from Central laboratory and performed Complete blood count and Solubility Test on Females
within reproductive age group. We carried out a logistic regression analysis wit Statistical Analysis Used: h variable Sickle and explanatory and
predictive analysis variables HB, Age, Platelet and total count. 0.12% of pati Result- ent was missing (1/853) with Negative 740/853 (87%) and
Positive cases 112//853(13%), mean Hb (9.72± 1.59) P < 0.001 with Welch double test. Age in sickle positive cases had Mean (24.1± 3.45) with
P= 0.58, Odds ratio 0.989 and P= 0.68. Mean Age and Hb display a Nonlinear Relationship with p= 0.23. Age and Platelet count have shown a
linear Correlation with p=0.021, Age and total count have also showed signicant correlation with P=< 0.001. In this analysis we Conclusionfound that using a Method having fast accessibility and having good time approval test result like solubility gives a preliminary outlook towards
SCD, though the test is having few limitations in differentiating Sickle cell trait and disease.
TAKAYASU ARTERITIS IN PREGNANCY - CASE REPORTS
Authors: Ramanujam Sailatha , K Vijayalakshmi , Singh N Sweetha
Published: November 2022

Takayasu arteritis known as pulseless disease is a chronic vasculitis
that involves mainly large vessels like aorta and its branches, coronary
and pulmonary arteries . It was rst described by Japanese
ophthalmologist Mikito Takayasu in 1908 . The classical denition of
TA is chronic, progressive inammatory, occlusive disease of the large
vessels. The arterial lesion can lead to secondary hypertension,
retinopathy, cardiac involvement, cerebrovascular events and
premature death . Frequently observed in Asian countries is the most
common cause of renovascular hypertension in India, China, Korea,
Japan and 4 other countries of south east Asia. It is also known as
young female disease as it is more commonly seen in young women
than men. Antenatal women with TA suffer from extremely high risk of
poor maternal and fetal outcomes. Wing's scoring can be useful to
predict neonatal outcome. Management of pregnant women with TA is
challenging because of the chance of increase in cardiovascular
complications. The course of the disease per se is not affected by
pregnancy
COMPLICATIONS IN DIABETES : A REVIEW
Authors: Wagh Rahul , Wagh June Milind , Upadhyay Sumit , Prajapati Chanderhash , Parit Utkarsha
Published: November 2022

Diabetes is a disease chronic disease which affects global population from long time. This review is an update on unknown
complications, causes, treatment modalities of this disease. This article also provides a summary on disease management
through various strategies. Diabetic complications are the challenges associated with diabetes in the form of micro and macro vascular
complications; microvascular compications include retinopathy, nephropathy and neuropathy whereas macrovascular compications include
coronary artery disease (CAD), peripheral vascular disease (PVD) and cerebrovascular events (CVA). Complications of diabetes range from
acute, life-threatening conditions such as severe hypoglycemia or ketoacidosis to chronic, debilitating complications affecting multiple organ
systems, such as retinopathy, nephropathy, neuropathy, and cardiovascular disease. Estimates of the prevalence of diabetic complications are
challenging, in part because there are no internationally agreed upon standards for diagnosis. This review is an update on unknown complications,
causes, prevention and treatment of this disease. This article also provides a summary on disease management through various strategies.
Research Challenges, Recent Advances and Benchmark Datasets in Deep-Learning-Based Underwater Marine Object Detection: A Review
Authors: Er Meng Joo , Jie Chen , Zhang Yani , Gao Wenxiao
Published: November 2022

Underwater marine object detection, as one of the most fundamental techniques in the community of marine science and engineering, has been shown to exhibit tremendous potential for exploring the ocean in recent years. It has been widely applied in monitoring of underwater ecosystems, exploration of natural resources, management of commercial fisheries, and so on. However, due to complexity of the underwater environment, characteristics of marine objects, and limitations imposed by exploration equipment, detection performance in terms of speed, accuracy, and robustness could be degraded dramatically when conventional approaches are used. Deep learning algorithms have been found to have significant impacts on a variety of engineering fields, including marine engineering. In this context, we offer a review of deep-learning-based underwater marine object detection techniques. To facilitate a thorough understanding of the subject, we organize research challenges of underwater object detection into three categories, namely image quality degradation, small object detection, and poor generalization. We review recent advances in underwater marine object detection and highlight advantages and disadvantages of existing solutions for each challenge. In addition, we examine the most extensively used benchmark datasets in detail and critically. Comparative studies with previous reviews, notably approaches that leverage artificial intelligence, and future trends on this hot topic are also presented.

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
Universal clustering algorithm based on an adaptive density gradient
Authors: Li Wenke , Zhou Zhou
Published: November 2022

We proposed a universal clustering algorithm by constructing an adaptive density gradient. This algorithm showed no data preference, and performs well on data with arbitrary density, overlap and shape. In comparative experiments, it outperformed other state-of-the-art algorithms on all types of synthetic and real data.
Blockage and RIS Cooperative Joint Beamforming for mmWave MIMO Systems
Authors: Sarker Md Abdul Latif , Baek Minjin , Seog Han Dong
Published: November 2022

The revised version has been submitted to the IEEE Transactions on Vehicular Technology.

 A reconfigurable intelligent surface (RIS) is a kind of metasurface that provides an adaptable way of controlling the propagation of radio signals in wireless systems, allowing for improved coverage and system efficiency. Instead of the traditional RIS-assisted single-to-multiple reflection channel, we present a time-variant location-based hybrid reflection channel(TL-HRC) model in this paper. The designed TL-HRC model can easily tune a cooperative situation between the mobile blockage and RIS in millimeter wave massive multiple-input and multiple-output systems and satisfactorily scale a high received power gain. Based on the designed TL-HRC model, we establish a joint active and passive beamforming problem for the weighted sum rate maximization and propose an alternative optimization with a RIS element selection (AO-RES) algorithm to tackle the challenging high dimensional coupled parameters. Through simulation experiments the effectiveness of the proposed TL-HRC-based AO-RES algorithm is validated in terms of the weighted sum rate with the case of perfect channel state information.
State Estimation in Unbalanced Smart Grids
Authors: Petridis Stefanos , Bintoudi Angelina , Veliskaki Angeliki , Karapatsias Vasileios , Fotopoulou Maria , Ioannidis Dimosthenis , Rakopoulos Dimitrios , Tzovaras Dimitrios
Published: November 2022

This study presents a Distribution System State Estimation (DSSE) algorithm for unbalanced smart grids and evaluates its performance with special focus on the effect of the unavailability of measurements, which is a common problem on smart grids. The proposed DSSE algorithm is based on the Weighted Least Squares (WLS) method and the unbalanced power flow analysis and addresses several challenges such as unbalanced consumption, various configurations and types of loads, line couplings and lack of measurements. To validate the proposed algorithm's performance, the IEEE 4-node test feeder and the IEEE European Low Voltage test feeder, comprising 907 nodes, are used as benchmarks. A detailed analysis of the DSSE state results, their deviations from the IEEE test feeders, and their sensitivity regarding measurements' availability, demonstrates the accuracy and robustness of the proposed solution.
A Comparison of Techniques for Class Imbalance in Deep Learning Classification of Breast Cancer
Authors: Walsh Ricky , Tardy Mickael
Published: November 2022

Tools based on deep learning models have been created in recent years to aid radiologists in the diagnosis of breast cancer from mammograms. However, the datasets used to train these models may suffer from class imbalance, i.e., there are often fewer malignant samples than benign or healthy, which can bias the model towards the healthy class. In this study, we systematically evaluate several popular techniques to deal with this class imbalance, namely, class weighting, over-sampling, and under-sampling, as well as a synthetic lesion generation approach to increase the number of malignant samples. These techniques are applied when training on three diverse Full-Field Digital Mammography datasets, and tested on in-distribution and out-of-distribution samples. The experiments show that a greater imbalance is associated with a greater bias towards the majority class, which can be counteracted by any of the standard class imbalance techniques. On the other hand, these methods provide no benefit to model performance with respect to Area Under the Curve of the Recall Operating Characteristic (AUC-ROC), and indeed under-sampling leads to a reduction of 0.066 in AUC in the case of a 19:1 benign to malignant imbalance. Our synthetic lesion methodology leads to better performance in most cases, with increases of up to 0.07 in AUC on out-of-distribution test sets over the next best experiment.
Data-driven Dynamic Motion Planning for Practical FES-Controlled Reaching Motions in Spinal Cord Injury
Authors: Wolf Derek , van den Bogert Antonie J. (Ton) , Schearer Eric M.
Published: November 2022

Functional electrical stimulation (FES) is a promising technology for restoring reaching motions to individuals with upper-limb paralysis caused by a spinal cord injury (SCI). However, the limited muscle capabilities of an individual with SCI have made achieving FES-driven reaching difficult. We developed a novel trajectory optimization method that used experimentally measured muscle capability data to find feasible reaching trajectories. In a simulation based on a real-life individual with SCI, we compared our method to attempting to follow naive direct-totarget paths. We tested our trajctory planner with three control structures that are commonly used in applied FES: feedback, feedforward-feedback, and model predictive control. Overall, trajectory optimization improved the ability to reach targets and improved the accuracy for the feedforward-feedback and model predictive controllers (p < 0.001). The trajectory optimization method should be practically implemented to improve the FES-driven reaching performance. 
Understanding the Microwire Casting Process through Convolutional Neural Networks
Authors: Li Charles , Gulak Yuri , Zhao Jingzhou
Published: November 2022

Even though the Taylor-Ulitovsky process for producing microwire has existed and been widely used in the past century, there are various challenges facing the microwire manufacturing process, such as inconsistent wire diameter, constant breaks of microwire during fabrication, and the difficulty of producing wires with a smaller diameter. These challenges can make the microwire fabri- cation process inefficient, and this research aims to understand how thermal im- ages from the fabrication process under various parameter settings can be used to assess and classify the quality of the microwire. Thermal videos and other process variables were collected from a microwire manufacturing lab, and the thermal image datasets from the video were trained using a pretrained Convolutional Neural Networks (CNN) in order to better understand how changing certain pa- rameters for the microwire manufacturing process can affect the microwire qual- ity. The features extracted from the thermal images using the proposed CNN- based machine learning algorithm is capable of classifying the microwire fabri- cation process into four stages, i.e., initialization stage, stable stage 1, stable stage 2, and ending stage. The stage classification accuracy reveals high repeatability and performance from the proposed CNN model. The results are promising since manufacturing process parameter settings can be adjusted and optimized by re- ferring to thermal image characteristics, and therefore the CNN model can im- prove microwire quality and predict failure of the microwire. 
PN-QRS: An Uncertainty-aware QRS-complex Detection Method for Wearable ECGs
Authors: Wang Xingyao , Gao Hongxiang , Ma Caiyun , Cui Chang , Zhu Tingting , Cheng Xianghong , Li Jianqing , Liu Chengyu
Published: November 2022

Long-term wearable ECG monitoring has increased the influence of ambiguous factors on QRS-complex detection. Reliable ECG information must be extracted from abundant noises and confusing artifacts. To address this issue, we suggest a positive-negative QRS-complex detector (PN-QRS), a QRS-complex detection model that accounts for uncertainty. Specifically, we relate non-ECG screening and artifact recognition to epistemic and aleatoric uncertainty, respectively. To disentangle the two uncertainties, we introduce the class-biased transformation based on the uniqueness of this problem. The performance of artifact and non-ECG detection and multi-lead QRS-complex localization is then validated. The results indicate that PN-QRS reduces ECG error detection rate by 22.24% and improves non-ECG screening accuracy by 5.9% compared to conventional signal quality assessment methods. And for identification of ambiguous beats, PN-QRS achieves a F1 score of 82.41% in a manually annotated ambiguous ECG dataset, while maintaining high precision for QRS-complex detection (99.38% F1 score). Above all, for multi-lead QRS-complex location, PN-QRS is approaching the performance upper bound through integrating the frame-level results on the lead with the minimum uncertainty. Our work suggests that the proposed PN-QRS has the potential to be employed as a QRS-complex detector in wearable ECG monitoring, with the capacity to remove invalid non-ECG episodes and identify QRS-like artifacts simultaneously.
EXTENDED EXPECTATION MAXIMIZATION FOR UNDER-FITTED MODELS
Authors: Miri Rekavandi Aref , SEGHOUANE ABD-KRIM , Boussaid Farid , Bennamoun Mohammed
Published: November 2022

In this paper, we generalize the well-known Expectation Maximization (EM) algorithm using the α− divergence for Gaussian Mixture Model (GMM). This approach is used in robust subspace detection when the number of parameters is kept small to avoid overfitting and large estimation variances. The level of robustness can be tuned by the parameterα. When α→1, our method is equivalent to the standard EM approach and for α <1 the method is robust against potential outliers. Simulation results show that the method outperforms the standard EM when it comes to mismatches between noise models and their realizations. In addition, we use the proposed method to detect active brain areas using collected functional Magnetic Resonance Imaging (fMRI) data during task-related experiments.
Enabling Smart IIoT based manufacturing using Self-Adaptive Digital Twin of CNC Machines
Authors: mishra bhupendra kumar
Published: November 2022

Computerized Numerical Control (CNC) machines are the building block of industrial manufacturing, while CNC machines (CNCM) are designed to work relentlessly, breakdown may occur due to ageing, wrong operation, malfunctioning of sensors/actuators etc. Breakdown of CNCM hampers the production, supply chain and occurs financial loses. To improve the availability of the CNCM, predictive maintenance is considered a gold standard which requires continuous monitoring of the state of CNCM. The state of the CNC machine is temporal and requires a continuous data stream (CDT) to represent the correct present state. To achieve CDT, we propose and evaluate the Self-Adaptive Digital Twin (SADT) model of the CNC Machine (CNCM) using open-source industry-standard OPCUA protocol in compliance with RAMI4.0 architecture. We tested our approach on actual CNC machines in an industrial setup in production environment. We found that the proposed SADT with data analytics can identify potential issues in the CNCM, various bottlenecks in production and provides real-time notifications for fault prediction, which leads to the optimization of spares and improved predictive maintenance. We presented a few applications of the proposed SADT and found that it helps in optimising the axis closed loop control, thereby reducing the vibrations and the following error by five times. It also predicts the runtime of the part program accurately in real-time by analysing the current feed rate. We observed a 15% increase in Mean Time Between Failure (MTBF), 11% decrease in Mean Time to Repair (MTTR), 21% reduction in the percentage of breakdowns and 14.2% reduction in the power consumption of the CNCM after the implementation of the proposed system.
FARANE-Q: Fast Parallel and Pipeline Q-Learning Accelerator for Configurable Reinforcement Learning SoC
Authors: Sutisna Nana , Ilmy Andi M. R. , Syafalni Infall , Mulyawan Rahmat , Adiono Trio
Published: November 2022

This paper proposes a FAst paRAllel and pipeliNE Q-learning accelerator (FARANE-Q) for a configurable Reinforcement Learning (RL) algorithm that is implemented in a System on Chip (SoC). In order to overcome the challenges of a dynamic environment and increasing complexity, the proposed work offers flexibility, configurability, and scalability while maintaining computation speed and accuracy. The proposed method includes a HW/SW design methodology for the SoC architecture to achieve flexibility. Moreover, we also propose joint optimizations on algorithm, architecture and implementation in order to obtain optimum (high efficiency) performance, specifically in energy and area efficiency. Furthermore, we implemented the proposed design in a real-time Zynq Ultra96-V2 FPGA platform to evaluate the functionality with real use case of the smart navigation. Experimental results confirm that the proposed accelerator FARANE-Q outperforms state of the art works by achieving throughput up to 148.55 MSps. It corresponds to the energy efficiency of 1632.42 MSps/W per agent for 32-bit and 2465.42 MSps/W per agent for 16-bit FARANE-Q. Moreover, the proposed 16-bit FARANE-Q outperforms others in energy efficiency up to more than 2000×. The designed system also maintains the error accuracy less than 0.4% with optimized bit precision for more than 8 fraction bits. The proposed FARANE-Q also offers a speed up of processing time up to 1795× compared to embedded SW computation executed on ARM Zynq processor and 280× of computation of full software executed on i7 processor. Hence, the proposed work has the potential to be used for smart navigation, robotic control, and predictive maintenance.
Una nuova politica d'immigrazione per rafforzare il processo d'integrazione europea
Authors: Favilli Chiara
Published: November 2022

Many times, the European Union has proved unable to take incisive measures on immigration and asylum. Indeed, a strict pursuance of the so called “Dublin Regulation” and a lack of cooperation among the Member States have deterred the Union from its founding values, making the EU victim of internal tensions, conflicts and harsh divisions. Therefore, a new immigration policy, no longer based on containment measures only, is needed, so that a genuine European integration process may harden.
Itinerari di governo del conflitto: la comunità dei mercanti e la ricerca di risposte alla complessità (passato e presente)
Authors: Tomassini Lorenzo
Published: November 2022

What I offer in the following pages are nothing more than notes, written by an intellectually curious student, who, without any pretense of writing a scholarly article, allowed himself to be guided by some suggestions, born of readings accumulated over time. Notes, then, from a distant world, but perhaps capable of dialoguing with the present and stimulating the view of the contemporary jurist.
La tentazione di studiare legge con la modalità automatica
Authors: Montelatici Lapo
Published: November 2022

La tentazione di studiare legge con la modalità automatica
Adaptive Neuro Fuzzy Inference System (ANFIS) terhadap Klasifikasi Kendaraan Roda Dua Mahasiswa Teknik Perkeretaapian Angkatan 2019 di Politeknik Negeri Madiun
Authors: Sari Fita Nova Wima
Published: November 2022

Pada penelitian ini, digunakam data dari hasil survei jenis kendaraan roda dua yang digunakan mahasiswa Teknik Perkeretaapian angkatan 2019 yang terdiri dari dua inputan yaitu wheelbase dan capacity (cc). Data tersebut diambil sample pada tahun 2022. Jenis kendaraan roda dua yang di survey terdiri dari motor matic, motor moped, motor sport, dan motor naked. Pada sample uji pertama, nilai input yang dimasukkan berdasarkan datasheet, dan nilai output tersebut mendekati nilai 0.3 yang mana merupakan lambang dari notasi numerik dari motor matic. Kedua, nilai input yang dimasukkan berdasarkan datasheet, dan nilai output tersebut mendekati nilai 0.4 yang mana merupakan lambang dari notasi numerik dari motor moped. Ketiga, nilai input yang dimasukkan berdasarkan datasheet, dan nilai output tersebut melebihi nilai 0.5 yang mana merupakan lambang dari notasi numerik dari motor sport. Lalu keempat, nilai input yang dimasukkan berdasarkan datasheet, nilai output tersebut kurang dari nilai 0.6 yang mana merupakan lambang dari notasi numerik dari motor naked.
Perancangan Tata Letak Mesin Pendingin dan Instalasi Panel Surya sebagai Supply Daya Sistem Pendingin Ruang Muat Kapal Ikan KM. Jaya Putra
Authors: Kiki Sabilil Huda , Prayogi Urip , Dewantara Belly Yan
Published: November 2022

Pendingin ruang muat kapal ikan merupakan sebuah ruangan yang dirancang khusus dengan kondisi suhu tertentu yang mempunyai fungsi utama untuk mempertahankan mutu ikan hasil tangkapan nelayan dengan cara membekukan ikan hasil tangkapan dan menyimpan ikan yang telah dibekukan selain itu bertujuan untuk menghambat berkembangnya bakteri pada ikan sehingga dapat menjaga kesegarannya dan berkualitas. Perencanaan sistem pendingin box / Palka Kapal Ikan menggunakan Tenaga Surya melalui Panel Surya. Pada penelitian sebelumnya, belum dilakukan perancangan tata letak komponen-komponen Panel Surya dan belum dilakukan perancangan instalasi kelistrikan Panel Surya pada kapal ikan. Oleh karena itu perlu diadakannya Penelitian mengenai Perancangan Tata Letak Mesin Pendingin Dan Instalasi Panel Surya Sebagai Supply Daya Sistem Pendingin Ruang Muat KM. JAYA PUTRA. Manfaat pada penelitian yang akan dilakukan yaitu dapat menghasilkan perancangan tata letak komponen-komponen Panel Surya serta merancangan instalasi kelistrikan pada panel surya yang terpasang pada KM. JAYA PUTRA. Selain itu pihak pemilik kapal dapat mengaplikasikan hasil dari penelitian tersebut. Dengan studi kasus tersebut, perlu dilakukan perancangan menggunakan software AutoCAD sebagai desain 2 dimensi, kemudian diterapkan desain 3 dimensi menggunakan software Rhinoceros agar dapat memberikan gambaran visual secara nyata pada penelitian tata letak yang akan dilakukan. Hasil yang diharapkan dari penelitian ini yaitu mengetahui hasil pembuatan tata letak komponen serta instalasi instalasi kelistrikan Panel Surya. Performance yang dihasilkan dari daya kelistrikan Panel surya ini selain sebagai tenaga penggerak sistem pendingin Palka Ikan, juga mampu menghasilkan komoditi berupa tangkapan ikan dengan kondisinya tetap dalam keadaan segar sehingga membuat harga ikan bernilai tinggi dan memberikan metode alternatif terhadap penghematan eneergi bahan bakar.
 
Kata Kunci: Kapal Ikan, Panel Surya, Tata Letak
Assessment Of Indigenous Radio Broadcasters' Translation Strategies And Words Usage: A Study Of Sobi 101.9 Fm Ilorin, Kwara State, Nigeria
Authors: Al Rabi'u, R.A. Et
Published: November 2022

This paper discusses the translation style and methods adopted by Sobi FM 101.9 Ilorin broadcasters to find equivalent versions for some selected English lexis and structure, translated into the Yoruba language. The main objective of this paper is to analyze the relevance of translation and trace the etymological foundation of the lexis and structure which compel radio broadcasters to use self-lexical coinage and neology. The work was carried out within the purview of Newmark levels of translation (level of naturalness, Referential, cohesive level) to trace the content and function of the lexis and structure. The theory adopted for this work is the knowledge gap theory; the main thrust of this theory is to bridge the language gap that exists in media through the use of the native language. Data for this research were gathered through the elicitation of a recorded news item from Sobi 101.9 FM Ilorin. Our research findings show that most translations from the source language (English) to the target language (Yorùbá) by broadcasters are self-invented, which could either suit the original version in the target language or not. It was observed that radio broadcasters adopt suitable translation methods to retain the content of messages broadcast in a bilingual program. We conclude our work by saying categorically that broad knowledge of the source language helps the productivity of a translator to transmit the message to the audience in the language without any vacuum or gap, and that radio broadcasters adopt any translation method in as much as the audience comprehension of the intended messages are the same with the target language.
Legal Aspects of Electronic Signatures In Indonesia
Authors: Amalia Dewi Rizky , Santoso Budi
Published: November 2022

Study this aim for research and analyze aspect law sign hand electronic based on perspective law positive in Indonesia. Study this use method study juridical normative, with using secondary data, research conducted with use studies bibliography. Approach analysis used is descriptive analytical. Based on results study is known that sign hand electronics in essence is something sign agreement in form working electronics as form the agreement of the parties who make and carry out agreement electronics. Making sign hand electronic by agency sign hand specified electronics and mechanisms in regulation applicable legislation. Condition valid agreement electronic has determined in Article 53 paragraph 2 and Article 54 paragraph 1 and 2 of the Government Regulation concerning Organizer System and Transaction Electronic
Pelaksanaan Akad Gadai Sawah Pusako Tinggi Di Jorong Tabek Pala Nagari Talang Ditinjau Dari Hukum Adat Minangkabau Dan Hukum Islam
Authors: Putra Yosrizal , Nizwana Yulia , Adriyanti Adriyanti
Published: November 2022

This research is based on the Nagari Customary Density Regulation (KAN) No. 3 of 2000, paragraph (3) fields that are pledged as collateral may only be sold/purchased by the owner of the fields, paragraph (4) ransom for pawned fields is the same as when the pawning process first occurred, paragraph (4) (5) the purpose of pawning is to help without expecting profit, the implementation of pawning is also regulated in Article 385 paragraph (4) of the Compilation of Sharia Economic Law (KHES) which explains about the pawned property (Rahn), the pawner has the right to ask for his field to the pawn holder by redeeming the field , The research method used is Juridical Empirical by interviewing the vice chairman of KAN, secretary of KAN, pawnbrokers (first party), pawn recipients (second party), third parties, and Asatiz, this research was conducted in Jorong Tabek Pala Nagari Talang. Based on the research conducted by the author, there are many implementations of pawning for high pusako rice fields that deviate in Jorong Tabek Pala, the deviations made are, the fields were transferred to a third party without the knowledge of the first party, the price of rice fields transferred to a third party rose, as well as additional pawns, this deviation violates KAN Regulations paragraphs 3 and 4 as well as the practice of pawning that contains business, the implementation of such a pawn is contrary to paragraph 4 (KHES) and paragraph 5 of the Regulation (KAN) above. Efforts to overcome this deviation are by implementing the implementation of pawning carried out by the Prophet Muhammad SAW.
DETERMINANT OF CONSUMER SERVICE CONSUMPTION – A COMPARATIVE STUDY OF RURAL AREAS OF MAJOR STATES INCLUDING GUJARAT AND INDIA
Authors: Patel S.D  , Rajyaguru A. J.  , Shah H.M
Published: November 2022

Three components, viz., income, consumption and savings are most invaluable indicators for economic development of any nation. From these three indicators, consumption plays vital role for the development process as high consumption encourages production activities which automatically leads to increase in employment and income generation which is again converted to consumption of miscellaneous goods and services. The rise in income results in higher demand of existing goods and services in the short run as well as in the long run. Even due to change in technology and fashion, the taste of population changes which results in demand of goods and services which were not existing previously. In this paper, rural areas of 15 major states, rural areas of 3 minor states and nation as a whole are considered to know the consumption pattern of non-food items. It is tried to analyze the effect of changes in income and relative price on different non-food goods and services. It is important to study the consumption of non-food items in the rural family as a part of service sector. In tis paper, per capita total consumption expenditure is taken as a proxy variable for per capita income, because more reliable data are available for the former as compared to the latter.
Various models like linear, quadratic and power, have been fitted on consumer service consumption data,
KEYWORDS – Consumer Service Consumption Expenditure, Total Consumption Expenditure, Rural Major States, Rural India, linear model, quadratic model, power model and concluded that power model is the most appropriate.
Koncepcja ucieleśnionego poznania w kognitywnej teorii filmu
Authors: Ostaszewski Jacek
Published: November 2022

Autor artykułu wyjaśnia źródła rozwoju kognitywnej teorii filmu. Przedstawia także dwie podstawowe orientacje w ramach nauki o procesach poznawczych – model poznania obliczeniowego i model poznania ucieleśnionego – które w teorii filmu funkcjonują jako dwie kolejne fazy. Model poznania ucieleśnionego jest wyjaśniany w kontekście zarówno tradycji myśli fenomenologicznej, jak i dokonań neuronauki, w tym odkrycia neuronów lustrzanych, które mimo kontrowersji stało się podstawą dla wielokierunkowej refleksji nad odbiorem filmów. Artykuł zawiera omówienie implementacji hipotezy o systemie lustrzanym do wyjaśniania przedpojęciowego odbioru filmu, z uwzględnieniem roli symulacji ucieleśnionej i empatii jako mechanizmów uczestnictwa w poznawczym i estetycznym doświadczaniu filmu. Przedstawione zostało także zagadnienie metodologiczne projektu estetyki naturalistycznej oraz możliwości syntezy podejścia kognitywnego i fenomenologicznego do wyjaśniania estetycznego doświadczania filmu.
Zwierciadło
Authors: Kurz Iwona
Published: November 2022

W artykule przywołani zostali dwaj polscy teoretycy kina, Karol Irzykowski i Grzegorz Królikiewicz, oraz główne dla ich teorii pojęcia: zasada zwierciadła i molekuła. Autorka sprawdza ich działanie i reinterpretuje je w kontekście nowo wydanej książki Sebastiana Jagielskiego Przerwane emancypacje. Polityka ekscesu w kinie polskim lat 1968-1982 (2021), której autor proponuje interpretację polskiego kina od końca lat 60. do początku lat 80. dokonaną przez pryzmat pojęcia ekscesu. Jagielski definiuje je jako formalną lub wizualną nadwyżkę, która rozsadza i destabilizuje społeczną normę. Jego książka staje się także komentarzem do kultury polskiej omawianego okresu. Stawiając pytania o (nie)możliwe emancypacje, zerwane procesy modernizacyjne i niewydarzone podmioty, Jagielski pyta zarazem o relację pomiędzy kinem a życiem i sposób, w jaki te dwie rzeczywistości karmią się sobą nawzajem. (Materiał nierecenzowany).
Metamorfosis Visual: Kajian Transformatif Blangkon Gaya Yogyakarta Berbasis Aplikasi Motif Batik Pada Karya Nardi di Bugisan Yogyakarta
Authors: Sugiyamin  , Moh. Rusnoto Susanto  , Nugroho Heri Cahyono  , Andrik Musfalri
Published: November 2022

Bagi orang Jawa, salah satu kelengkapan berbusana adalah tutup kepala atau blangkon. Bentuk blangkon sangat sederhana.  Akan tetapi,  blangkon memiliki makna yang cukup tinggi. Makna estetika (keindahan, seni) tercermin dari bentuk blangkon yang dibuat sedemikian rupa sehingga memancarkan keindahan. Makna martabat tercermin dari kegunaan blangkon sebagai alat pembeda antara kaum ningrat Kraton dan rakyat jelata. Makna etika tercermin dari kehidupan dan kepribadian orang Jawa. Oleh karena itu, masalah ini menarik untuk diteliti dengan tujuan sebagai berikut. Pertama,  menjabarkan proses metamorfosis visual yang memengaruhi konsep dan hasil penciptaan blangkon gaya Yogyakarta dan ciri khasnya. Kedua, menjabarkan metamorfosis visual melalui eksplorasi aplikasi motif-motif batik sebagai elemen pokok dalam penciptaan blangkon gaya Yogyakarta. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan cara mendeskripsikan karakteristik kerajinan batik secara jelas dan mendalam masalah blangkon yang diproduksi oleh Nardi di Bugisan Yogyakarta. Hasil yang diharapkan dari penelitian ini adalah menggambarkan hasil metamorfosis visual blangkon gaya Yogyakarta berciri khas dalam bentuk maupun nilai filosofis dan menggambarkan hasil metamorfosis visual melalui transformatif visual pengolahan dan ekplorasi motif-motif batik yang diterapkan pada blangkon khas dari keraton Yogyakarta.
VARIABILITY OF THE NARRATOR'S IMAGE IN SPEECH PERFORMANCE ART
Authors: CHEPURINA VERA
Published: November 2022

The article is devoted to the phenomenon of the narrator, who is considered as the subject of action in the speech performing art. The author of the article believes that the problem of the variability of the narrator's image deserves close attention. The answer to the question of who the performer feels in the story being told is of fundamental importance. The typology of the narrator's image revealed in the article is based on the research of specialists in the field of the language of Russian fiction. The degree of involvement of the narrator in the story he is broadcasting is used as the basis for the typology. Special attention is paid to the correlation of the narrator's image with the author of the literary work. At the same time, the author of the article argues that the variety of unique variants of the narrator's image in oral narration is determined not only by the main characteristics set by the author-creator, but also provided by the concept of the performer. The position of the narrator in the depicted world is due to the originality and uniqueness of the storytelling situation. The variability of the image, the dynamic relationship between the author, the narrator and the characters correspond to the principle of a pluralistic model of the world as one of the fundamental features of postmodern art.
Influence of force-time parameters of hip abductors on maintaining balance in frontal plane in young healthy females
Authors: Bugalska Aneta , Hadamus Anna , Wójtowicz Sebastian , Daniluk Anna , Wiaderna Karolina , Grabowicz Marta
Published: November 2022

Purpose: The aim of this study was to determine the impact of isometric and isokinetic hip abductor muscle strength on the quality of maintaining static balance in healthy subjects. Methods: The study enrolled 51 healthy women aged 18–25. Balance assessment was carried out according to the M-CTSIB protocol and Single Leg Stance Test (with eyes open and closed) using the Biodex Balance System. An isokinetic evaluation conducted at 30 °/s and an isometric evaluation of the hip abductors were performed with the Humac Norm system. Results: Regression analysis for Sway Index (SW) and Stability Index (ST) in bipedal standing showed a significant importance of the presence of visual feedback (RSW EO = –0.922; p < 0.0001; RST EO = –0.613; p = 0.0493), and unstable surface (RSW US = 1.253; p < 0.0001; RSW US = 2.547; p < 0.0001). Regression analysis for single-leg stance showed correlations between the following indices: overall sway index (OR) in single-leg stance, the antero-posterior (AP) sway index and the medio-lateral (ML) sway index on the one hand and isometric abduction time to peak torque (ROR TPT = 0.769; p = 0.0005; RAP TPT = 0.565; p = 0.008; RML TPT = –1.74; p < 0.05, respectively) as well as the test conditions on the other. Conclusions: Physiological activation of the hip abductors may be important for physiological maintenance of postural balance in young people, in both leg standing as well as in single-leg stance. The present results warrant prospective, randomized studies of larger groups that are diversified with regard to age and gender of the participants.
Biobased poly(3-hydroxybutyrate acid) composites with addition of aliphatic polyurethane based on polypropylene glycols
Authors: Zarzyka Iwona , Czerniecka-Kubicka Anna , Hęclik Karol , Dobrowolski Lucjan , Krzykowska Beata , Białkowska Anita_ , Bakar Mohamed
Published: November 2022

Poly(3-hydroxybutyrate) (P3HB) is the most important of the polyhydroxyalkanoates. It is biosynthesized, biodegradable, biocompatible, and shows no cytotoxicity and mutagenicity. P3HB is a natural metabolite in the human body and, therefore, it could replace the synthetic, hard-to-degrade polymers used in the production of implants. However, P3HB is a brittle material with limited thermal stability. Therefore, in order to improve its mechanical properties and processing parameters by separating its melting point and degradation temperature, P3HB-based composites can be produced using, for example, linear aliphatic polyurethanes as modifiers. The aim of the study is a modification of P3HB properties with the use of linear aliphatic polyurethanes synthesized in reaction of hexamethylene diisocyanate (HDI) and polypropylene glycols (PPG) by producing their composites. Prepared biocomposites were tested by the scanning electron microscopy (SEM), differential scanning calorimetry (DSC) and thermogravimetry (TGA). Furthermore, selected mechanical properties were evaluated. It has been confirmed that new biocomposites showed an increase in impact strength, relative strain at break, decrease of hardness and higher degradation temperature compared to the unfilled P3HB. The biocomposites also showed a decrease in the glass transition temperature and the degree of crystallinity. Biocomposites obtained with 10 wt. % polyurethane synthesized with polypropylene glycol having 1000 g · mole–1 and HDI have the best thermal and mechanical properties.
A kinematic model of a humanoid lower limb exoskeleton with pneumatic actuators
Authors: Głowiński Sebastian , Ptak Mariusz
Published: November 2022

Purpose: Although it is well-established that exoskeletons as robots attached to the human body’s extremities increase their strength, limited studies presented a computer and mathematical model of a human leg pneumatic exoskeleton based on anthropometric data. Methods: By using Inertial Measurement Units a lower limb joint angles (hip, knee and ankle in sagittal plane) during walking and running were calculated. The geometric model of a human leg pneumatic exoskeleton was presented. Joint angle data acquired during experiments were used in the mathematical model. Results: The position and velocity of exoskeleton actuators in each phase of the movement were calculated using the MATLAB package (Matlab_R2017b, The MathWorks Company, Novi, MI, USA). Conclusions: The obtained results demonstrate the efficiency of the proposed approach that can be utilized to analyze the kinematics of pneumatic exoskeletons using the dedicated design process. The developed mathematical model makes it possible to determine the position of lower limb segments and exoskeleton elements. The proposed model allows for calculating the position of the human leg and actuators’ characteristic points
The Contribution of Language Supportive Teaching in Facilitating the Transition from Kiswahili to English Medium of Instruction in Form One: The Case of Morogoro Teachers’ College, Tanzania
Authors: Iddi Sophia , Mtana Noah
Published: November 2022

This study explored the Contribution of Language Supportive Teaching (LST) in the Transition from Kiswahili to English Medium of Instruction in Form One: The Case of Morogoro Teachers’ College. This study had four specific objectives; To assess the success of LST training in Morogoro Teachers’ College, to find out how LST works in secondary schools where graduates from the LST training in Morogoro are teaching, to determine how LST contributes to the transition from Kiswahili to English medium instruction, and to examine challenges which leaners experience after making the transition between primary and secondary schools. The study involved a sample of 8 respondents (i.e., 5 teacher educators) from Morogoro Teachers’ College and 3 secondary school teachers from the college; the researcher used descriptive design which used qualitative research approaches. Nonprobability sampling techniques such as purposive sampling was used to get the sample for this study. Data collection involved both primary and secondary sources and instruments such as interview guides were used. The study revealed that LST has contributed more towards the language of teaching, the training led to additional teaching skills to teachers, improved students’ English proficiency, improved English practices, strengthened students’ self-confidence in group discussion, teaching English language has been strengthened, pedagogical skills enhanced, and English Language Speaking Enhanced in Classroom Strengthened Students’ Ability to Communicate in English without Fear of Errors. Also, the study found that LST in secondary schools is implemented through the following ways; group discussion, collegial partnership, sentence structure and pronunciation, teaching aids and the use of students’ thinking language. The study also found that LST has improved students’ vocabulary, improved students’ reading in English language, improved students’ writing in English language, helped teacher’s new ways of supporting the mastery of subject content language, and helped to engage students in learning process.
Impact of Heads of Public Secondary Schools Managerial Skills on Academic Performance in Morogoro Municipality
Authors: Mkude Neema , Omer Solomon
Published: November 2022

The purpose of the research study was set to investigate the impact of heads of secondary schools’ managerial skills on students’ academic performance in Morogoro Municipality in Tanzania. The specific objectives were to determine the managerial skills possessed by heads of secondary schools which influenced academic performance in Morogoro municipality, to find out how heads of secondary schools’ managerial skills influenced the students’ academic performance and measures of improving heads of schools’ management skills in Morogoro Municipality in Tanzania. The saturated sampling technique was used to identify the respondents for the study. Thus, all respondents were given opportunity to participate in the study. Twenty-three heads of secondary schools within Morogoro Municipality were involved in the study. The data were collected through closed-ended questionnaires for quantitative data and open-ended questionnaires for qualitative data. The instrument reliability was tested using Cronbach Coefficient Alpha where the coefficient of 0.757 was realized and it was considered reliable. The quantitative data were presented in the APA tables for discussion whereas the qualitative data were analysed thematically. The results revealed that most heads of schools were able to use different management skills to influence students’ academic performance in secondary schools. In order to get better academic improvement, there was a need for different measures to improve heads of schools’ management skills. It was recommended that heads of schools should be committed in school supervision by using the management competence they had acquired. In order to impact positively on students’ academic performance, Government should provide opportunity for management training in order to improve management skills that is critical in enhancing academic performance