bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical and anamnestic characteristics of patients with negative symptoms in schizophrenia
Authors: Kushnir Yurii
Published: October 2023

252 patients with negative symptoms of schizophrenia and 79 patients with positive symptoms of schizophrenia were examined. A comprehensive approach was used, consisting of a combination of clinical and anamnestic, clinical and psychopathological and statistical research methods. The assessment of clinical and psychopathological features in patients with schizophrenia included the analysis of the distribution of patients according to the severity of forms, type and manifestations of schizophrenia, duration and progressivity of the disease and episodes, number of relapses, hospitalizations and features of leading symptom complexes. Features of the clinical picture of patients with negative and positive symptoms in schizophrenia were determined, which can use as diagnostic criteria for differential diagnosis and selection of treatment strategies for patients with schizophrenia
Key words: negative symptoms, positive symptoms, schizophrenia, clinical characteristics, clinical and anamnestic analysis
Psychocorrective program aimed at recovery of cognitive productivity of persons with alcohol dependence syndrome.
Authors: Lisna Natalia , Minko Oleksandr
Published: October 2023

The article presents data on the effectiveness of the psychocorrective program developed by the authors, aimed at improving the cognitive functioning of persons with alcohol dependence syndrome at the stage of active anti-alcohol treatment. The psychocorrective program is developed within the framework of an integrative psychotherapeutic approach, including the techniques of cognitive-behavioral therapy, body-oriented psychotherapy, art therapy, as well as mnemonic techniques used for the development of short-term memory, voluntary attention, and abstract thinking. It is shown that the use of methods of non-pharmacological correction of disorders of cognitive functions in patients of this category can contribute to the recovery of normative cognitive productivity, the formation of conditions for the optimization of therapeutic interaction, and the improvement of the quality of drug addiction treatment.
Key words: alcohol dependence, cognitive disorders, rehabilitation of cognitive functions
Algorithm for choosing the optimal complex therapy for persons with alcohol dependence
Authors: Minko Oleksandr , Markozova Lubov , Artemchuk Anatolii , Lisna Natalia , Baranenko Oleksiy , Нoltsova Svіtlana
Published: October 2023

The goal is to develop an algorithm for providing assistance to persons addicted to alcohol and corresponding clinical protocols. The state of providing medical care to patients with mental and behavioral disorders due to alcohol consumption in Ukraine in the absence of clinical guidelines and protocols was studied, the most common clinical guidelines and clinical protocols in the developed countries of the world were analyzed; Prototypes for the creation of appropriate national clinical guidelines and clinical protocols have been identified among them. An algorithm for choosing the optimal complex therapy for persons addicted to alcohol was developed and its adaptation for the needs of Ukraine was carried out, taking into account the evidence base.
Key words: alcohol dependence, algorithm, pharmacotherapy, psychotherapy, evidence-based medicine
Evaluation of the efficiency of the program of combined psychocorrection of the persons performing the function of caring for patients with dementia
Authors: Orlova Olha , Zhyvotovska Liliia
Published: October 2023

The purpose of this work was to evaluate the effectiveness of the step-by-step psychocorrection program for caregivers of patients with dementia by studying the dynamics of clinicalpsychopathological manifestations and the level of social functioning. With the help of sociodemographic, clinical-psychopathological, psychodiagnostic and statistical examination methods, 104 caregivers (100 women, 4 men) and 104 patients with dementia were examined on the basis of the PI “Regional institution for the provision of psychiatric care of the Poltava Regional Council”. Caregiver inclusion criteria were: signed informed consent, age of caregivers 25 years or older, caring for one patient with dementia and being with him at least 5 times a week, at least 4 hours a day. According to modern clinical interpretations, dementia is a clinical syndrome, usually chronic or prone to progression, characterized by a complex of manifestations in the form of disorders of memory, attention, thinking, gnosis, praxis, speech, psyche, behavior, social functioning and a pronounced decrease in the quality of life. The lack of formed pro-social networks and the lack of social support, both from the family and from friends, makes caregivers more vulnerable to stress factors. The obtained data were used as a basis for the development of a programs of complex phased psychocorrection. In a situation of deterioration of the patient's condition, the burden on the caregiver also increases. The fact of maladjustment of patients with dementia is a very relevant issue, because this disease not only reduces the quality of life of patients, but also leads to large non-material and material costs due to the need for long-term and constant care for a sick relative with a severe or moderate course of dementia.
Key words: rehabilitation, anxiety, psycho-emotional stress, comprehensive therapy, dementia, psychosocial maladaptation
Analysis of surgical treatment of drug-resistant epilepsy in Ukraine for the period 2014—2020
Authors: Dubenko Andrij , Kostiuk Kostiantyn , Naboka Maryna , Buniakin Viacheslav
Published: October 2023

The aim of the study is analysis of surgical care for epilepsy patients in Ukraine from 2014 to 2020. The results of the surgical treatment of epilepsy patients in three leading neurosurgical institutions of Ukraine, which regularly perform epilepsy surgery were analyzed. They are Romodanov neurosurgery institute (Kyiv), Regional Clinical Center of Neurosurgery and Neurology (Uzhhorod) and Dnipropetrovsk Clinical Psychiatric Hospital (Dnipro). A questionnaire was used to obtain information on the quantity and types of surgical operations carried out in the aforementioned institutions between 2014 and 2020. From 2014 to 2018, surgical treatment was performed on 320 patients, in 2019 — 112 patients, and in 2020 — 61. The etiology of seizures was analyzed, where mesial temporal sclerosis overall years had an advantage over other causes of drug-resistant epilepsy. Accordingly, amygdalohypocampectomy accounted for the majority of surgical interventions in all years, however, other etiological factors and types of surgical treatment were also analyzed in detail. The number of patients who require surgical treatment is increasing. It is necessary to carefully refine the stages of preoperative preparation of patients in order to provide the patient with full-fledged medical care and to be able to perform a detailed analysis of surgical treatment. To achieve this goal, it was decided to develop a registry of epilepsy patients who received surgical treatment, which will allow to fully structure all the information received, track postoperative patients, and clearly evaluate the effectiveness of this type of treatment.
Key words: drug-resistant epilepsy, epilepsy surgery, register
Neuroimaging aspects in encephalopathies of various genesis
Authors: Duve Khrystyna , Shkrobot Svitlana
Published: October 2023

This article is devoted to the analysis of the neuroimaging picture of the most common types of encephalopathies. In particular, in 2021 and 2022, we examined 520 patients with post-traumatic encephalopathy (TE) (n = 145), vascular encephalopathy (VE) in case of chronic brain ischemia (n = 145), alcoholic encephalopathy (AE) (n = 102), and post-infectious encephalopathy (PIE) (n = 128). We studied the neuroimaging characteristics of each of these subtypes, their features and frequency. Thus, we established that the most frequent expansion of the ventricles was observed in patients with VE (53.79 %), which probably exceeded the similar indicator in patients with TE (by 26.89 %), with AE (by 15.55 %) and from PIE (by 37.38 %). Expansion of the subarachnoid spaces was equally common in the groups of patients with TE (38.62 %) and VE (40.00 %), with a probable difference in relation to the group with PIE (7.81 %). Patients with AE (60.78 %) had significantly more frequent manifestations of gliosis than patients with TE (47.59 %). The highest frequency of cystic changes was observed in the group with TE (45.05 %), which significantly exceeded the indicators of other groups. The correlations between neuroimaging changes and clinical syndromes were clarified.
Key words: encephalopathy, post-traumatic encephalopathy, vascular encephalopathy in case of chronic brain ischemia, alcoholic encephalopathy, post-infectious encephalopathy
Clinical analysis of qualitative and quantitative pain characteristics in patients with acute and chronic vertebrogenic lumbosacral pain syndromes
Authors: Kulyk Andrii , Paienok Anzhelika
Published: October 2023

Diverse approaches exist for diagnosing and treating patients afflicted with acute and chronic low back pain syndromes (LBP), thereby necessitating a comprehensive evaluation of the pain syndrome and a meticulous analysis of the neuropathic component to enhance our scholarly comprehension of the distinct differences in pain progression among these individuals. A total of 125 individuals (56 females and 69 males) diagnosed with vertebral lumbar pain syndromes (LBP), aged between 20 and 68 years (42.8 ± 11.1 years), underwent comprehensive evaluation. Stratification into two distinct groups was based on the duration of the pain syndrome: an acute pain group (pain lasting up to 3 months) and a chronic pain group (pain persisting beyond 3 months). Pain assessment, administered upon hospitalization, involved utilizing of well-established tools such as the Visual Analogue Scale (VAS), DN4 Questionnaire, and McGill Pain Questionnaire. The initial pain intensity, measured by VAS upon admission, was recorded as 7.15 ± 1.17 in the acute pain group and 6.08 ± 0.96 in the chronic pain group. Analysis of responses to the DN4 questionnaire revealed that patients with acute pain syndrome obtained an average score of 2.26 ± 1.01, whereas those in the chronic pain group scored 4.53 ± 1.02. The presence of a neuropathic component was identified in 38 % of patients with acute pain and 56 % of patients with chronic pain. Correlational analyses indicated a weak positive correlation (r = 0.12, p < 0.05) between VAS scores and the assessment of neuropathic pain using the DN4 questionnaire in the acute pain group. However, the chronic pain group observed a moderate positive correlation (r = 0.41, p < 0.001). Patients experiencing chronic LBP expressed their pain sensations in a more emotionally descriptive manner. Notably, the chronic pain group exhibited a statistically significant elevation in the number of selected descriptors according to the Index of Chosen Descriptors (ICD) on the sensory scale, as well as an increased Pain Rank Index (PRI) on both sensory and affective scales, compared to the acute pain group. To summarize, individuals with chronic LBP exhibit a more prevalence of the neuropathic component. Moreover, patients in the chronic pain group demonstrated higher scores indicative of sensory and psychosocial aspects of pain.
Key words: acute pain, chronic pain, neuropathic component of pain, verbal descriptors, McGill Pain Questionnaire
Features of clinical and neurological manifestations in patients suffered COVID-19
Authors: Mishchenko Vladyslav , Bokatuieva Viktoriia , Fysenko Anastasiia , Lehka Mariia
Published: October 2023

The aim of the work was to study the gender characteristics of clinical and neurological manifestations in patients with chronic brain ischemia depending on the presence of vaccination. The main neurological complaints presented by patients with chronic cerebrovascular disorders after sufferred COVID-19 were identified, which made it possible to determine the characteristics and frequency of occurrence of individual complaints in men and women. Changes in neurological status data were carefully analyzed depending on gender characteristics and the presence of vaccination. Changes in the neurological status in the group of men were detected in the study of the motor, sensitive sphere, vestibular sphere, and in women — in the study of coordination and vestibular disorders depending on the presence of vaccination, which allows us to say that the absence of vaccination leads to an increase in the expressiveness of complaints and manifestations of neurological disorders regardless of gender in different age groups of patients.
Key words: COVID-19, clinical and neurological disorders, vaccination, gender characteristics
IMPLEMENTASI COLABORATIVE FOR ACADEMIC, SOSIAL AND EMOTIONAL LEARNING (CASEL) DALAM RUANG LINGKUP BUDAYA SEKOLAH DI SMP
Authors: Annisa Ika Wijayanti  , Sumarno  , Muhammad Saipul Hayat  , Djoko Ichsanudin
Published: October 2023

ABSTRACT

 

Social emotional development is a very important aspect of development for every child because it is one of the determining factors for his or her success in the future. The CASEL framework provides indicators of social emotional learning in schools through integration in subjects and in school activities/school culture. This research describes the implementation of CASEL in school culture at SMP 36 Semarang. The core indicators of social emotional learning from the Collaborative for Academic Social and Emotional Learning (CASEL) are used to analyze social emotional development, namely self-awareness, self-management, social recognition (self-awareness), building skills relationships (relationship skills) and responsible decision making (responsible decision-making). A single instrumental case study type qualitative approach was chosen by the researcher to answer the research questions. The research results show that the five core indicators of social emotional learning are visible in the school culture of SMP 36 Semarang.

 

 

ABSTRAK

Perkembangan sosial emosional merupakan salah satu aspek perkembangan yang sangat penting bagi setiap anak karena merupakan salah satu faktor penentu kesuksesannya di masa depan. Kerangka CASEL memberikan indikator pembelajaran sosial emosional di sekolah melalui pengintegrasian dalam mata pelajaran maupun di kegiatan sekolah/budaya sekolah. Penelitian ini medeskripsikan tentang impelementasi CASEL dalam budaya sekolah di SMP 36 Semarang. Indikator inti pembelajaran sosial emosional dari Collaborative for Academic Social and Emotional Learning (CASEL) digunakan untuk menganalisis perkembangan sosial emosional, yaitu pengenalan diri (self-awareness), manajemen diri (self-management), pengenalan sosial (self-awareness), keterampilan membangun hubungan (relationship skill) dan pengambilan keputusan yang bertanggungjawab (responsible decition-making). Pendekatan kualitatif jenis studi kasus (case study) tunggal instrumental dipilih peneliti untuk menjawab pertanyaan penelitian. Hasil penelitian menunjukkan bahwa kelima indikator inti pembelajaran sosial emosional terlihat dalam budaya sekolah SMP 36 Semarang.
PENINGKATAN KEMAMPUAN KERJASAMA SISWA PADA MATA PELAJARAN MATEMATIKA MENGGUNAKAN MODEL PEMBELAJARAN PROJECT BASED LEARNING KELAS V DI SD NEGERI 19 PONTIANAK TENGGARA
Authors: Eliyah  , Agung Hartoyo  , Rita Indah Budiana
Published: October 2023

This research aims to increase student collaboration through the project based learning (PjBL) learning model for class V students at SD Negeri 19 PontianakTenggara, whose background is that many students are still unable to collaborate well. In learning, students tend to learn independently without having discussions or asking questions and answers with other students. Especially in mathematics subjects which really require cooperation in learning to achieve the maximum possible goals. The results of this research show that the use of the project based learning (PjBL) learning model can increase the cooperation of class V students at SD Negeri 19 Southeast Pontianak. This classroom action research consists of two cycles, each cycle consisting of 4 stages, namely: planning, implementation, observation, and reflection. The ability to collaborate was obtained through observation sheets. Based on the observation sheet, student collaboration showed an increase. It was proven from cycle I that there were 12 students who were able to collaborate. Then in cycle II it increased to 16 students who were able to collaborate. The success rate reaches 88.89% with excellent qualifications. In this case it can be concluded that using the project based learning (PjBL) learning model can increase student collaboration in class V mathematics subjects at SD Negeri 19 Pontianak Tenggara.Keywords: Cooperation,model PjBL , mathematics

 

ABSTRAKPenelitian ini bertujuan untuk meningkatkan kerjasama siswa melalui model pembelajaran project based learning (PjBL) pada siswa kelas V SD Negeri 19 Pontianak Tenggara, yang berlatar belakang masih banyak siswanya belum mampu melakukan kerjasama yang baik. Dalam pembelajaran siswa cenderung belajar secara mandiri tanpa melakukan diskusi atau melakukan tanya jawab denagn siswa lain. Khususnya pada mata pelajaran matematila yang seharusnya sangat memerlukan kerjasama dalam belajar untuk mencapai tujuan semaksimal mungkin. Hasil penelitian ini menunjukkan penggunaan model pembelajaran project based learning (PjBL) dapat meningkatkan kerjasama siswa kelas V SD Negeri 19 Pontianak Tenggara. Penelitian tindakan kelas ini terdiri dari dua siklus, setiap siklus terdiri dari 4 tahap yaitu: perencanaan, pelaksanaan, observasi, dan refleksi.Kemmapuan kerjasama diperoleh melalui lembar observasi, berdasarkan lembar observasi kerjasama siswa menunjukkan adanya peningkatan, terbukti dari siklus I terdapat 12 orang siswa yang mampu melakukan kerjasama. Kemudian pada siklus II meningkat yakni terdapat 16 orang siswa yang mampu melakukan kerjasama. Tingkat keberhasilan mencapai 88.89% dengan kualifikasi sangat baik. Dalam hal ini dapat disimpulkan bahwa dengan menggunakan model pembelajaran project based learning (PjBL) dapat meningkatkan kerjasama siswa pada mata pelajaranmatematika kelas V di SD Negeri 19 Pontianak Tenggara.Kata Kunci: Kerjasama, Model PjBL, Matematika
KEEFEKTIFAN MODEL PEMBELAJARAN STEM TERHADAP HASIL BELAJAR PESERTA DIDIK PADA PEMBELAJARAN TEMATIK KELAS VA TEMA 6 SUBTEMA 1 DI SDN KALICARI 02 SEMARANG
Authors: Intan Mustika Dewi  , Fine Reffiane  , Diana Endah Handayani
Published: October 2023

Intan Mustika Dewi. NPM : 19120300. “Keefektifan Model Pembelajaran STEM Terhadap Hasil Belajar Peserta Didik pada Pembelajaran Tematik Kelas VA Tema 6 Subtema 1 di SDN Kalicari 02 Semarang”. Skripsi Program Studi Pendidikan Guru Sekolah Dasar Fakultas Ilmu Pendidikan UniversitasPGRI Semarang. Universitas PGRI Semarang. 2022. Dosen Pembimbing I: Dr. Fine Reffiane, S.Pd., M.Pd. Dosen Pembimbing II: Diana Endah Handayani, M.Pd.

Latar belakang yang mendorong penelitian ini adalah kurangnya pembelajaran yang efektif dan kurangnya aktifnya peserta didik sehingga hasil belajar peserta didik menjadi rendah, serta belum diterapkannya model pembelajaran STEM untuk mengembangkan soft skill peserta didik.

Permasalahan dalam penelitian ini adalah apakah model pembelajaran STEM efektif untuk meningkatkan hasil belajar peserta didik pada pembelajaran tematik kelas VA tema 6 subtema 1 SDN Kalicari 02 Semarang? Tujuan yang dicapai dalam penelitian ini adalah untuk mengetahui keefektifan model pembelajaran STEM untuk meningkatkan hasil belajar peserta didik pada pembelajaran tematik kelas VA tema 6 subtema 1 di SDN Kalicari 02 Semarang.

Jenis penelitian ini adalah kuantitatif. Desain penelitian ini menggunakan Pre Eksperimental Design yang berbentuk One Group Pretest Posttest Design. Populasi dalam penelitian ini adalah peserta didik pada pembelajaran tematik kelas VA SDN Kalicari 02 Semarang. Sampel yang digunakan yaitu peserta didik kelas VA SDN Kalicari 02 Semarang yang terdiri dari 28 peserta didik. Teknik sampling dalam penelitian ini adalah mengggunakan sampling jenuh. Data dalam penelitian ini diperoleh melalui wawancara, observasi, tes dan dokumentasi. Teknik analisis data yang digunakan pada analisis awal adalah uji normalitas. Analisis akhir menggunakan uji normalitas, uji hipotesis, dan uji ketuntasan belajar.

Rata-rata hasil belajar peserta didik yang menunjukkan pembelajaran tanpa menggunakan model pembelajaran STEM (pretest) sebanyak 48,5714%. Sedangkan rata-rata hasil belajar peserta didik setelah diberi perlakuan (posttest) dengan menggunakan model pembelajaran STEM sebanyak 80,8571%. Hal tersebut diperkuat dengan hasil perhitungan uji t berpasangan dapat disimpulkan bahwa uji t berpasangan pada hasil pretest dan posttest menghasilkan nilai signifikansi 0,002 < 0,05 maka H0 ditolak dan Ha diterima atau dapat dikatakan bahwa model pembelajaran STEM efektif untuk meningkatkan hasil belajar peserta didik pada pembelajaran tematik kelas VA tema 6 subtema 1 di SDN Kalicari 02 Semarang.

Berdasarkan hasil penelitian ini saran yang dapat peneliti sampaikan hendaknya guru supaya menggunakan model pembelajaran STEM digunakan dalam kegiatan pembelajaran.
STRATEGI GURU KELAS DALAM MENGEMBANGKAN MINAT DAN BAKAT PESERTA DIDIK DI SDN RAHAYU
Authors: Aulia Balqis Hanifah , Patra Aghtiar Rakhman  , Ana Nurhasanah
Published: October 2023

The development of students' interests and talents needs to be developed from an early age. Teachers as facilitators and motivators must be able to develop the potential interests and talents of their students. The purpose of this study was to find out how the teacher's strategy, especially the class teacher or homeroom teacher in developing the interests and talents of their students. By using a qualitative descriptive method with a case study approach, in which this research focuses more on the results of collecting data from sources, namely grade 4 teachers at SDN Rahayu and describing how the objective conditions regarding class teacher strategies in developing the interests and talents of students at SDN Rahayu. The results of this study indicate that the teacher's strategy in developing students' motivational interests and talents is appropriate, namely: 1) Approaching students, 2) Providing facilities and motivating them to take part in competitions, 3) Providing understanding by not forcing their will, and 4) Utilizing extracurricular activities at school.
PENGARUH KECAKAPAN DIGITAL SISWA SMP NEGERI 1 BATANG KABUPATEN JENEPONTO TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN BAHASA INDONESIA
Authors: Nurdin Annisa , Halling Abd , Rosalyn Anwar Citra
Published: October 2023

Students have smartphones and are able to use every application they have on their smartphones such as communication applications, online games, social media and the like. The aim of this research is to measure the digital abilities or skills possessed by students and how students use them, to show an overview of the implementation of the learning process involving students' digital abilities or skills in Indonesian language subjects and to find out whether there is an influence on the digital skills of students at SMP Negeri 1 Batang Jeneponto Regency on student learning outcomes in Indonesian language subjects. This research was conducted using a quantitative approach with a type of research that used a quasi-experimental type with a method that only used one treatment group and did not use a control group. The sample from this research was 25 students from class VIII. The instruments in this research use questionnaires, tests (assignments) and documentation as support for this research. The questionnaire consists of a pretest given before the learning process is carried out and a posttest given after the learning process is carried out, while the test consists of tasks containing news text and poetry text material. Data analysis uses descriptive statistical analysis and inferential statistical analysis with hypothesis testing using the t-test. Based on the results of data analysis and t-test, the average value of students' abilities and learning outcomes after the implementation of the learning process involving students' digital skills was higher than before the implementation of the learning process involving students' digital skills. All students involve digital skills by using several methods of using search engines and social media in completing assignments with news text and story text material. The results of this research show that there is an influence on the digital skills of students at SMP Negeri 1 Batang Jeneponto Regency on student learning outcomes in Indonesian language subjects.
PENINGKATAN HASIL BELAJAR MATERI ZAT TUNGGAL DAN CAMPURAN MELALUI MEDIA ULAR TANGGA SISWA KELAS V SDN KEDOYA UTARA 03
Authors: Bella Bella Satriya , Harlinda Syofyan
Published: October 2023

Penelitian ini dilaksanakan di kelas V SDN Kedoya Utara 03 dengan jumlah siswa 25 siswa pada semester genap tahun pelajaran 2022/2023. Penelitian ini menggunakan metode penelitian tindakan kelas (PTK) dengan melalui dua siklus. PTK ini bertujuan untuk meningkatkan hasil belajar dalam pembelajaran IPA khusunya pada materi zat tunggal dan campuran melalui media pembelajaran ular tangga. Pengumpulan data menggunakan lembar observasi aktivitas belajar siswa, lembar observasi aktivitas guru, dan soal tes untuk mengukur hasil belajar siswa pada materi zat tunggal dan campuran. Penelitian ini dilakukan secara kolaboratif antara peneliti dengan guru VB. Teknik pengumpulan data yang digunakan meliputi test dan observasi. Instrumen pengumpulan data yang digunakan adalah tes, lembar observasi. Hasil penelitian menunjukkan bahwa penggunaan media ular tangga pada materi zat tunggal dan campuran dapat meningkatkan hasil belajar siswa kelas V SDN Kedoya Utara 03. Hasil penelitian pada siklus I memiliki ketuntasan hasil belajar siswa dengan nilai rata-rata sebesar 58,24 dan persentase ketuntasan yaitu 56%. Sedangkan untuk hasil observasi pada siklus I, persentase rata-rata aktivitas siswa sebesar 71,25%. Dan Pada siklus II persentase ketuntasan hasil belajar siswa mengalami peningkatan yaitu sebesar 88% dan nilai rata-ratanya 75,56. Persentase hasil observasi rata-rata aktivitas siswa pada siklus II juga mengalami peningkatan yaitu sebesar  87,5%.
ANALISIS BUTIR SOAL PILIHAN GANDA BERORIENTASI HOTS PADA TEMA 6 CITA-CITAKU SUBTEMA 1 AKU DAN CITA-CITAKU PEMBELAJARAN KE 1
Authors: Mesa Nesti Nazarudina
Published: October 2023

Penelitian ini bertujuan untuk menganalisis butir soal pilihan ganda berorientasi Higher Order Thinking Skill (HOTS) pada tema 6 cita-citaku subtema 1 aku dan cita-citaku pembelajaran ke 1 pada kelas IV SDN Bhayangkari serta mengetahui validitas, reliabilitas, tingkat kesukaran dan daya pembeda soal. Metode yang digunakan dalam penelitian ini yaitu penelitian kualitatif dengan pendekatan deskriptif. Penelitian ini diawali dengan analisis kebutuhan, membuat instrumen tes pilihan ganda, validitas para ahli, merevisi instrumen tes pilihan ganda, setelah itu diuji cobakan secara terbatas dan evaluasi. Hasil penelitian menunjukkan bahwa memenuhi kriteria sangat layak dengan persentase dari beberapa ahli yaitu materi 100% bahasa 100% dan evaluasi 96% sedangkan hasil yang telah diuji cobakan kepada 32 siswa kelas IV memperoleh hasil butir soal valid dengan menggunakan perhitungan secara kuantitatif. Berdasarkan data tersebut dapat disimpulkan bahwa analisis butir soal sangat valid.
The Influence of Profitability, Sales Growth, and Capital Intensity on Tax Avoidance
Authors: Ramadina Delia , Gunawan Juniati
Published: October 2023

This study aims to examine the influence of profitability, sales growth, and capital intensity on tax avoidance in manufacturing companies in the consumer goods industry sector listed on the Indonesia Stock Exchange (IDX) for the 2017-2021 period. This study uses secondary data from the company's financial reports and annual reports. The method used in this research is regression analysis with SPSS version 25. The results of this study indicate that profitability and sales growth have a positive influence on tax avoidance. Capital intensity has no influence on tax avoidance and leverage as a control variable affects the independent variable on tax avoidance.
Power Optimized VLSI Architecture of Distributed Arithmetic Based Block LMS Adaptive Filter
Authors: S. L Gangadharaiah , Narayanappa C. K , M.N Divya , S Navaneet , N Dushyant
Published: October 2023

In this paper, we are presenting a power-efficient Distributed Arithmetic (DA) based Block Least Mean Square (BLMS) Adaptive Digital Filter (ADF). The proposed DA BLMS architecture proposes a shared area-efficient Multiplier Accumulate Block that calculates both the partial filter products and the weight increment terms in the same module. It also uses Multiplexers (MUX) and Demultiplexers (DEMUX) which passes only L out of N inputs, where N and L are the filter length and chosen block size respectively, into the MAC thus helping in achieving the DA functionality along with reduced power consumption. Also, efficient truncation of the obtained error and weight update terms is performed by being able to select the non-zero-bit part of the signal to be fed back. The entire architecture is driven by a single slow clock which reduces the power consumption of the device further. On comparing with the best existing DA BLMS Structures, the proposed architecture uses 15% lesser power, 14% lesser EPS according to ASIC Synthesis, and for a filter length of N=16 and a block size of L=4 respectively.
A Machine Learning Approach for Detection and Suppression of Shadow or Wet Road Surfaces
Authors: Prusty Pankaj , Mohanty Bibhu Prasad
Published: October 2023

In advanced driver assistance system detection of road surfaces is an important task. Few algorithms have been proposed in past to detect the road surfaces based on intensities. However, problem arises in detection process is due to the presence of shadows or wet road surfaces. Here we have proposed a novel algorithm for detection of shadows with the help of machine learning approaches. Initially shadow is being detected with the help of a threshold-based approach followed by windowing-based method. The detected shadow region gets confirmed with the help of a set of features and classifier. The detected shadow or wet pixels are in painted to obtain set of pixels without shadow for road classification problems. The simplicity and accuracy of the algorithm makes it robust and can be used as a part of road surface detection algorithm.
Addressing Power Loss and Voltage Profile Issues in Electrical Distribution Systems: A Novel Approach Using Polar Bear Gradient-Based Optimization
Authors: Reddy Dr. M. Rama Prasad , Srinivas Chodagam , Eswararao Bireddi , Kuriti Rajendraprasad , Rao Dr. M. Koteswara
Published: October 2023

Energy is an essential commodity for everyone, with electrical energy being the most preferred form. Unfortunately, non-renewable energy resources are gradually depleting, and renewable energy sources take several years to establish. To mitigate this problem, technology has shifted from non-renewable energy sources to electrical devices and machines, including household appliances like washing machines and air conditioners. However, the generation of electricity is still inadequate to meet the growing demand. This leads to two major problems: high power loss and poor voltage profile, making it difficult for power distribution companies to ensure a consistent and reliable power supply. This paper aims to address the reduction and minimization of power losses by adjusting distribution side transformer tap settings using the polar bear gradient-based optimization. The proposed approach uses the 14-bus system as a reference and calculates losses for this system using the backward-forward sweeping technique. The results are compared with standard PSO algorithm; the proposed strategy shows superior results.
Deep Learning Method of Predicting MANET Lifetime Using Graph Adversarial Network Routing
Authors: T A Mohanaprakash , Christo Mary Subaja , Vivekanandan M , Rani M. Madhu , M Therasa
Published: October 2023

The prominence of mobile ad-hoc networks (MANETs) is on the rise. Within the domain of machine learning, a specialized subset known as deep learning (DL) employs diverse methodologies, each providing unique interpretations of the data it processes. In existing system the vulnerabilities of MANETs to security threats stem from factors such as node mobility, the potential for MANETs to provide economical solutions to real-world communication challenges, decentralized management, and constrained bandwidth. The efficacy of encryption and authentication methods in safeguarding MANETs encounters limitations. Intelligence will be the future development direction of network adaptive optimization technology in response to the increasingly complex mobile communication network. Data from mobile communication is a crucial part of the future information society. This paper propose adaptive optimization scheme , employs a machine learning algorithm that is capable of realizing the optimal parameter configuration and coordinating various optimization objectives in response to changes in state and environment. The coordination and advancement of social, versatile and area administrations make the customary informal organization easily change to portable correspondence organization. Creation of a system that can learn some rules from data and apply them to subsequent data processing is the research objective. This paper examines the machine learning-based algorithm for big data analysis and effectively addresses the issue of communication network data using graph theory and the experimental result shows higher lifetime prediction accuracy compare to previous system.
Feature Fusion of Time-frequency and Deep Learning Features for Epileptic Seizure Detection using EEG Signals
Authors: Sadam Seshasai Priya , NJ Nalini
Published: October 2023

A persistent brain's neurological state is epilepsy, characterised by recurring seizure. Brain electrical activity is measured using EEG signals, which can be used to detect and diagnose significant brain problems such as Epilepsy, Autism, Alzheimer’s etc. However, manual EEG data processing is time-consuming, requires highly skilled clinicians, and is associated with low inter-rater reliability (IRA). A computer-aided diagnosis approach for epileptic seizure detection from multichannel EEG recordings by fusing the time-frequency features and the deep learning features extracted from Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model using canonical correlation analysis (CCA) method is provided in this study. Deep Learning features are extracted using CNN-GRU layers, motivated by recent advancements in image classification and optimised for use with EEG data. We have also extracted time-frequency features such as spectral entropies and Sub Band energies from Empirical mode decomposition (EMD) and Hilbert Marginal Spectrum (HMS). We used CHBMIT dataset to carry out the results and showed that the method proposed for fusing the time-frequency features and deep learning has given better performance.
Estimation of Common Mode noise and Differential Mode noise generated by DC-DC Power Converters
Authors: Charishma Pathala Venkata Sai , Jayasree Pappu.V. Y
Published: October 2023

The study contains a review of the body of knowledge regarding differential mode (DM) and common mode (CM)noise and how they affect power converter performance. With an emphasis on practical application, this work seeks to give an estimation of differential mode (DM) and common mode (CM) noise for cutting-edge DC-DC power converters such as Zeta converters, Single Ended Primary Inductance Converters (SEPIC), and Cuk converters. Active noise separators and Differential mode noise separators are used as a measurement technique to quantify DM and CM noise, considering a number of variables including input voltage, output voltage, load current, and switching frequency. By using filtering techniques, DM and CM noise can be reduced. Both CM noise and DM noise are created by the Zeta converter at 114 dBµV and 108 dBµV, respectively. CM noise from the SEPIC converter is 119 dBµV, and DM noise is 114 dBµV. With values of CM noise 98 dBµV and DM noise 106 dBµV, Cuk converter produces less noise when compared to Zeta and SEPIC converter. The results show that power converters can generate DM and CM noise, and that this noise is over the Comité International Special des Perturbations Radioélectriques [CISPR] limit line. The conducted emission range for various electronic devices is provided by this standard. This study provides useful insights for power converter designers and engineers to optimize the performance of their systems in practical applications.
Robust medical image watermarking in frequency domain
Authors: Singh Roop , Shukla Pavan Kumar , Kumar Tarun , Kapse Vinod M
Published: October 2023

Protecting patient information in medical image watermarking poses a significant challenge, especially when traditional methods like the Arnold transform prove inadequate in ensuring security. This paper introduces a novel approach within the Discrete Wavelet Transform (DWT) domain to address this issue effectively. By employing the Advanced Encryption Standard (AES), the security and robustness of the system are greatly enhanced through the encryption of both the medical image and patient data. The encrypted medical image undergoes a 2-level DWT process, allowing the concealment of encrypted patient information while maintaining its invisibility. This proposed scheme surpasses others in experimental evaluations, as evidenced by metrics such as PSNR and NC, solidifying its position as a more secure choice for medical image watermarking. The results validate the scheme’s robustness and imperceptibility.
HALT Certification: Reducing the workload, increasing the rigour and cutting the cost
Authors: Ingvarson Lawrence , Hollingsworth Hilary
Published: October 2023

In December 2022, federal, state and territory education ministers released a National Teacher Workforce Action Plan to improve teacher supply and retention in the profession. While recognising the important role that Highly Accomplished and Lead Teacher (HALT) certification could play, the plan also recognised that the current approach to certification was cumbersome for teachers and called for it to be ‘streamlined’. At the request of the education ministers, the Australian Institute for Teaching and School Leadership (AITSL) has produced a revised Framework for the Certification of HALT Teachers. Guided by the Framework, certifying authorities across state and territory school systems will be responsible for ‘less onerous, while being rigorous’ processes for assessing applications. This paper is based on a project called the Portfolio Project conducted by ACER between 2015 and 2018 to develop methods to reduce the application workload for teachers and assessors while increasing the validity and reliability of the certification process. These methods were trialed with positive results. Based on lessons learned during the Project, this paper suggests ways to strengthen the efficiency and credibility of the HALT certification process, while also making it a more satisfying and effective vehicle for teachers’ professional development.
Tinjauan Atas Strategi E-Marketing Pada Kinasih Resort & Conference Bogor
Authors: Nurvenda Siti Suryani , Noor Tubagus Dicky
Published: October 2023

ABSTRACTE-Marketing is an effort to market products and services using online platforms via the internet. The use of E-Marketing can reach a wider audience than traditional media and is more cost effective in marketing. E-Marketing opens up new opportunities to improve marketing strategies to achieve better results. With the help of E-marketing, companies can implement more practical strategies because potential customers can easily get information about products and services and do business via the Internet.The purpose of this review is to find out: 1) To find out what forms of E-Marketing are implemented at the Kinasih Resort & Conference Bogor; 2) To find out what E-Marketing strategies are implemented at Kinasih Resort & Conference Bogor; 3) What are the obstacles and how to overcome obstacles in implementing the EMarketing strategy at Kinasih Resort & Conference.The results of this review are: 1) Kinasih Resort & Conference Bogor has implemented four types of E-marketing; 2) Kinasih Resort & Conference Bogor has implemented seven E-marketing strategies; 3) In its implementation, there are several obstacles experienced by Kinasih Resort & Conference Bogor, including a lack of human resources in the digital marketing division, a lack of interesting and aesthetic content, and less responsive sales. The efforts made by Kinasih Resort & Conference Bogor to overcome obstacles include making additions and improvements in the field of human resources (HR) for the Digital Marketing division, and increasing the number of variations of interesting and aesthetic content on social media.

Keywords: E-Marketing, Kinasih Resort & Conference Bogor
Tinjauan Atas Pengadaan Pembelian Barang Di Bagian Purcashing Pada The Alana Hotel Sentul
Authors: Putra Fawwaz , Supriadi Yoyon
Published: October 2023

The Finance and Accounting Department consists of several parts that are interconnected in the goods procurement process, one of which is the Purchasing Department. The role of the Purchasing Department in a hotel is to be responsible for the process of sourcing and procuring goods or services to assist production functions in hotel operational activities with applicable Standard Operating Procedures (SOP). Procurement activities are one of the basic functions of a company or hotel. This procurement function is said to be basic because a company will not be able to operate properly without this function. The next conclusion is that the department concerned with requesting goods has carried out a Purchase Request in accordance with the Standard Operating Procedures that apply at The Alana Hotel Sentul and attached supporting documents, however it is still necessary to pay attention to specifications such as type of goods, brand and quantity for ordering. to suppliers.
Keywords: Purchasing, Procurement, Procedure.
Analysis of the Correlation of Sleep Patterns and Reaction Time
Authors: Ishaque Zakia , Kamdar Owais , Moghul Maryam , Yousef Yacob
Published: October 2023

Sleep patterns and the circadian rhythms have always been a major factor in cognitive performance. Different stages of one's circadian rhythm have always been linked to varying performance in attention, working memory, and executive function. This research project analyzed how different stages of circadian rhythm and changes to sleep patterns impact one’s cognitive performance, specifically reaction time and reaction time variability. This study had participants take a reaction time test at the preferred stage of their circadian rhythm and answer questions based on their sleep habits for that particular day. The only significant result from this study was that participants who took longer naps seemed to have slower reaction times. In addition, we found that participants who took their reaction time test 5-6 hours after waking up had the best results when taking into account both reaction time and reaction time variability. This report also describes an individual case study in relation to the overall project.
Impact of long-term exercise habits on cognitive test performance
Authors: McCann Colleen , Taraboi Sophia
Published: October 2023

Past research has supported the idea that exercise is beneficial for the mind and cognitive functions. Further, imaging and neurotransmitter studies have shown how acute exercise can increase white matter and monoamines in the brain, thus improving cognition. On this basis, it was inferred that exercise, specifically long-term exercise, will improve an individual’s cognitive performance. To determine this, college-aged subjects were assessed with baseline reaction time and simultaneous amplitude discrimination tests. They subsequently participated in an acute exercise, after completing the same tests, to examine how their performance was affected. To evaluate fitness levels, subjects took a survey reporting their fitness levels and history, and their answers were translated into a comprehensive fitness score. In analyzing fitness score with test data, results concluded that those with more robust fitness levels performed better in the amplitude discrimination task. In addition, their reaction time variability, a consistent measure of cognitive focus, decreased (i.e., improved) following acute exercise. In contrast, those with lower fitness levels witnessed an increase in variability following exercise. This data suggests that taking part in exercise, particularly from a young age, can have long-term beneficial effects on cognitive function.
The Relationship Between Dual Feedback and Self-Perception in Amplitude Discrimination Task Performance
Authors: Wissman Madison
Published: October 2023

Feedback and self-perception are often studied in relation to task performance as they are often associated with observable differences in performance. However, the way self-perception and feedback may affect each other and an individual has yet to be fully understood. Therefore, the purpose of this study is to determine whether there is a relationship between different types of feedback and subject self-perception, and to understand the effects of using different feedback types. A group of 39 young adults performed a series of amplitude discrimination tasks and were provided with three feedback conditions and completed a survey detailing their perception of their performance and the feedback provided. Results indicated that there is a difference in perception of feedback types, though there was no significant difference in performance between the feedback conditions. Additionally, there was some evidence that a pattern exists by which subjects with lower self-efficacy scores may be more susceptible to performance changes as feedback conditions change. These findings suggest that subjects are responsive to feedback, and that this responsivity could be related to subjects’ self-perception.
Effects of Inaccurate Feedback on Simultaneous Amplitude and Frequency Discrimination Tasks
Authors: Navarre Sophia , Dutta Rajeev , Wood Mackenzie , Reyes Francisco
Published: October 2023

Humans frequently engage in tasks with the intention of performing well. Many previous studies have explored feedback as a tool to improve this task performance, concluding that feedback improves task performance, but only when coupled with a task performance goal. However, there is no clear consensus on how feedback without goalsetting impacts task performance. This paper aims to investigate feedback’s impact on task performance from a new angle by determining how incorrect feedback affects task performance. Through this investigation, we explored the participant thought process that plays into how the participant uses feedback. This has several implications, for example, in regard to malingering, in which people purposefully provide incorrect feedback for personal gain. To conduct this study, we instructed participants to complete simultaneous tactile discrimination tasks on which they received correct or incorrect feedback. Our results showed a significant difference in task performance between correct and incorrect feedback, and this difference increased for a harder task. Additionally, our results demonstrated that several participants receiving incorrect feedback had longer response times, indicating that they realized they were receiving incorrect feedback. Overall, this study sheds light on how feedback can be used to manipulate task performance.