bluuebunny/crossref_metadata_2025 huggingface dataset:
Heavy Flavor and Quarkonia Physics at sPHENIX
Authors: Marshall Thomas
Published: December 2022

The sPHENIX detector, being constructed at BNL’s Relativistic Heavy Ion Collider (RHIC), will begin measuring a plethora of Heavy Flavor and Quarkonia observables with unprecedented statistics and kinematic reach at RHIC energies starting in 2023. This includes the largest recorded sample of b-flavored hadron decays from Heavy Ion collisions at RHIC, allowing for precise probes of the QGP using charm and beauty quarks. These measurements are enabled by the excellent vertexing of the MAPS-based micro-VerTeX detector (MVTX), timing of the INTermediate silicon strip Tracker (INTT), precision tracking by the Time Projection Chamber (TPC), and the ElectroMagnetic and Hadronic Calorimetry systems (EMCal and HCal, respectively), the latter of which is deployed for the first time at RHIC. The sPHENIX collaboration has created the reconstruction software stack as well as realistic data simulations, which allow for testing and optimization of the software and physics selections.
A Semi-analytical Method of Calculating Nuclear Collision Trajectory in the QCD Phase Diagram
Authors: Lin Zi-Wei , Mendenhall Todd
Published: December 2022

The finite nuclear thickness affects the energy density (t) and conserved-charge densities such as the net-baryon density nB(t) produced in heavy ion collisions. While the effect is small at high collision energies where the Bjorken energy density formula for the initial state is valid, the effect is large at low collision energies, where the nuclear crossing time is not small compared to the parton formation time. The temperature T(t) and chemical potentials µ(t) of the dense matter can be extracted from the densities for a given equation of state (EOS). Therefore, including the nuclear thickness is essential for the determination of the T-µB trajectory in the QCD phase diagram for relativistic nuclear collisions at low to moderate energies such as the RHIC-BES energies. In this proceeding, we will first discuss our semi-analytical method that includes the nuclear thickness effect and its results on the densities є(t), nB(t), nQ(t), and nS(t). Then, we will show the extracted T(t), µB(t), µQ(t), and µS(t) for a quark-gluon plasma using the ideal gas EOS with quantum or Boltzmann statistics. Finally, we will show the results on the T-µB trajectories in relation to the possible location of the QCD critical end point. This semi-analytical model provides a convenient tool for exploring the trajectories of nuclear collisions in the QCD phase diagram.
Influence of heavy resonances in SMASH
Authors: Salinas San Martín J. , Noronha-Hostler J. , Elfner H. , Hammelmann J. , Hirayama R.
Published: December 2022

Recent lattice QCD results, comparing to a hadron resonance gas model, have shown the need for hundreds of particles in hadronic models. These extra particles influence both the equation of state and hadronic interactions within hadron transport models. Here, we introduce the PDG21+ particle list, which contains the most up-to-date database of particles and their properties. We then convert all particles decays into 2 body decays so that they are compatible with SMASH in order to produce a more consistent description of a heavy-ion collision.
Demographic study of major conferences in heavy ion physics
Authors: Nattrass Christine , Andres Carlota , Belmont Ron , Blue Jennifer , Cochran Geraldine L. , Connors Megan , Frantz Justin , Mroczek Debora , Noronha-Hostler Jacquelyn , Nelson Stacyann , Reed Rosi , Salur Sevil , Sharma Natasha , Patrick Steffanic Patrick , Thomas Deepa , Ye Zhenyu
Published: December 2022

We present a study of the demographics of major conferences in heavy ion physics. We look at the distribution of talks by gender for Quark Matter, Strangeness in Quark Matter, Initial Stages, and Hard Probes between 2011–2022. We find that women are often underrepresented among plenary speakers and usually underrepresented among parallel speakers. At Quark Matter, women are more likely to be given a poster presentation in lieu of an oral presentation. The Quark Matter summary talk has never been given by a woman. We discuss the collection of data and possible approaches to make the field more equitable and, therefore, more scientifically productive.
JUDGE'S DECISION ON LEGALIZATION AND/OR LICENSING OF INTERFAITH MARRIAGES
Authors: Moh. Yusuf Bachtiyar  , Hanif Nur Widhiyanti  , Herman Suryokumoro
Published: December 2022

This study intends to explore and evaluate the wording of legality and licensing of interfaith weddings as mentioned in the Purwokerto District Court Decision No. 54/Pdt.P/2019/PN. Pwt. and the Surabaya District Court Decision No. 916/Pdt.P/2022/PN. Sby. In addition to studying and assessing the basis of the ratio decidendi used by courts to determine the legality of marriages between individuals of different religions, as required by law. This form of investigation is legal investigation. This investigation will employ the Statute Approach, Case Approach, and Conceptual Approach. The findings suggest that the conflict between the necessity of recording marriage events in state papers and the necessity of marital validity must end immediately. Article 2 paragraph (1) of the Marriage Law is extremely subjective, allowing for multiple interpretations, and at the level of implementation, these norms are very easily prepared, allowing them to be implemented and gain state legitimacy without requiring individuals to abandon their religion or original beliefs. The state must be present to defend the beliefs of its citizens, uphold its fundamental rights, and legitimize all legal activities conducted by its residents. Decision No. 68/PUU-XII/2014 of the Constitutional Court affirmed that religious law must be a factor in evaluating the validity or invalidity of marriage, including the invalidity of interfaith marriages. Consequently, the Constitutional Court's Decision No. 68/PUU/XII/2014 has instructed and offered instructions for the right, fair, and scientific reading, understanding, and interpretation of Article 2 Paragraph (1) of Law No. 1 of 1974 in accordance with legal science.
IMPLEMENTATION OF CREDIT GRANTING BY A CUSTOMARY VILLAGE CREDIT INSTITUTION TO OTHER KRAMA WITHOUT AN AGREEMENT OF COOPERATION BETWEEN CUSTOMARY VILLAGES
Authors: I Made Dedy Priyanto  , I Wayan Novy Purwanto
Published: December 2022

This study aims to determine the cooperation agreement between Customary Villages as the basis for Village Credit Institution (LPD) in providing Denpasar credit to other village krama and to find out the implementation of credit granting by LPD in the Denpasar area to other village krama without any cooperation agreement between Customary Villages. The research method used is a type of empirical legal research. The results of this study are that inter-village cooperation agreements are regulated in the Bali Province Regional Regulation Number 3 of 2017 concerning LPDs emphasized in Article 7 paragraph (1) letter c where it is stated that LPDs can provide credit to other village krama on condition that there is cooperation between villages and collaboration between villages in the form of an inter-village cooperation agreement that was decided by the cooperating village, but in granting credit to other village krama, the intervillage cooperation agreement was not implemented which resulted in the credit agreement made between the LPD and other village krama considered invalid because it violated regional regulations and The Governor's Regulation on LPD and the agreement is null and void because it violates the objective conditions of an agreement. While the granting of credit to other village krama carried out by the LPD is not much different from the local village krama, the fundamental difference is the conditions when other village krama want to apply for credit to the LPD, each LPD provides different conditions to other village krama who wish to apply credit. Based on the results of research and interviews, there are several factors that the LPD provides credit to other village krama without an agreement due to profit factors, ignorance of the law, no sanctions given, family factors and village potential factors.
APPLICATION OF RESTORATIVE JUSTICE AS AN ALTERNATIVE TO SETTLEMENT IN CRIMINAL ACTS OF FRAUD AND EMBEZZLEMENT IN THE JURISDICTION OF SURABAYA POLICE AREA, INDONESIA
Authors: Adjie Rizky Ananda
Published: December 2022

The purpose of restorative justice in the settlement of criminal cases is to restore justice to its proper position. Both the perpetrator and the victim have apologized and agreed not to sue each other again in the future. It is hoped that the creation of peace between the perpetrator and the victim through deliberation can reduce the number of prisoners both in the Correctional Institution and in the jails; remove the stigma or stamp of criminality and return the perpetrators of crimes to the general public; criminals will be able to recognize their mistakes and not repeat their actions; and reduce the workload of the police, prosecutors, penitentiaries, courts, and penitentiaries. The fundamental problem of this research is the application of restorative justice as an option for resolving cases of fraud and embezzlement at the Surabaya Police Station, as well as obstacles in the application of restorative justice as an alternative to resolving cases of fraud and embezzlement at the Surabaya Police Station. This study uses an observational research approach in the form of a survey, namely an investigation carried out directly at the research site using data collection instruments in the form of interviews. Normative legal research is used in this article. The research findings show that: resolving criminal cases of fraud and embezzlement through restorative justice does not reduce criminal behavior. It is recommended that the sentencing policy be changed for the purpose of resolving lawsuits. The obstacle to the adoption of this restorative justice principle is the lack of an umbrella or legal foundation that is similar to both the Criminal Code and the Criminal Procedure Code since it is still governed in the internal police.
BİR OYUN FİRMASINDA UYGULANAN YARATICI MUHASEBE UYGULAMALARININ SİSTEM YAKLAŞIMI KAPSAMINDA ANALİZİ
Authors: DEMİRCİ Şuayyip Doğuş , KARABURUN Gözde
Published: December 2022

Oyun sektörü küresel salgından etkilenmeyen sektörlerin başında gelmektedir. Milyarlarca dolarlık pazar büyüklüğüne ulaşan sektördeki firmalar da diğer sektörlerde olduğu gibi kâr amacı güden, kendi içinde alt sistemlere sahip olan kuruluşlardır. Bu firmalar da zaman zaman yaratıcı muhasebe uygulamalarından faydalanarak finansal tablolarını daha iyi hale getirmeye uğraşmaktadırlar. Yaratıcı muhasebe uygulamaları sistem yaklaşımı açısından ele alındığında, entropinin yani düzensizliğin muhasebedeki yansımaları karşımıza çıkmaktadır. Yapılan bu çalışmada 2020 yılı içinde yurtdışında faaliyet gösteren bir oyun firmasının hali hazırda tamamlanmamış bir ürününü yıl sonu finansal tablolarını etkileyebilmek için satışa sürmesi yaratıcı muhasebe bağlamında incelenecektir.
Comparative Study between Different Methods of Laparoscopic Hysterectomies
Authors: A. Bendary Ali
Published: December 2022

Background: Hysterectomy is the second most common major surgical procedure performed on women after caesarean section. The incidence of hysterectomy is 4-6% out of which 90% are performed for benign indications. Aim of the work: The aim of this study was to compare intra- and post-operative morbidity associated with two types of laparoscopic hysterectomy. Laparoscopic-Assisted Vaginal Hysterectomy (LAVH) and Total Laparoscopic Hysterectomy (TLH) Patients and methods: A total of 80 women scheduled to undergo a hysterectomy for benign disease were subdivided into 2 groups; 40 women for LAVH and 40 women for TLH, Patients were excluded from the study if they had contraindication to laparoscopy. Intra- and post-operative evaluations including the duration of the operation uterine weight, frequency of intraoperative complication, and the difference between hemoglobin level prior to surgery and one day after surgery. Results: LAVH took the longest operating time. As regard hemoglobin deficit that occurred after 24 hours of surgery, our study showed that TLH had largest Hb deficit (1.6 gm/dl) but still the Hb deficit not significantly different. As regard transfusion of blood, one case took blood in group LAVH and one case in group TLH. As regard other complications, the bladder was injured during plunt dissection of the bladder flap in group TLH and this case was having history of one cesarean section 10 years ago. Conclusion: laparoscopic assisted vaginal hysterectomy showed lower complication but longer operative time than total laparoscopic hysterectomy group; also (LAVH) showed shorter hospital stay and need fewer analgesics so we considered this method the best when the patient accepted total removal of the uterus. While total laparoscopic hysterectomy showed the more blood loss and complication intraoperatively and postoperatiovely, but this complication is non-significant in cases of removal of the hole uterus.
Immunotherapy and Control of Cervical Canal Crypts on HPV – Ways to Reduce Recurrence and Mortality from Cervical Cancer
Authors: V.G Cherenkov
Published: December 2022

The results of HPV immunotherapy of associated cervical lesions (HSIL) after radio wave conization (534 cases) were analyzed in comparison with the control group (659 cases) in women with a verified process of CIN II-III and CIS, registered at the regional cancer center. In 9.55±1.3% of cases within 2-3 years after the radio wave conization with HSIL (CIN II-III, CIS), the progression of the disease (dysplasia, cancer in situ and in 2 cases cervical cancer of the 1st stage) was established in the control group. The latter was the need for the introduction of 2 cornerstone practices - the control of crypts of the upper cone of the cervix on HPV and immunotherapy. In the study group, HPV was detected in 23.7±1.8% of women after conization in the upper cone. All women in this group were prescribed inosine pranobex (isoprinosine). After the course of treatment, control for HPV and atypia was repeated after 6, 12 and 18 months. Relapses in the group of patients treated with isoprinosine amounted to 0.27 ± 0.5%. The difference is statistically significant - P less than 0.05. At the same time, tracing the path from the moment of screening and detection of HPV-associated HSIL lesions, more than half of women do not receive treatment in a timely manner. For control and continuity between specialists, we have introduced signal cards with the informed consent of a woman for treatment when pathology is detected.
Results of Treatment of Female Stress Urinary Incontinence Treated with Transobturator Suburethral Banding: 9-Years Follow-Up. An Observational Prospective, Single-Center Study.
Authors: Cuaresma-González María
Published: December 2022

Background: tension-free suburethral bands represent the "gold standard" for the surgical treatment of stress urinary incontinence (SUI). Specifically, the transobturator approach is the most widely used because of its high cure rates in the medium term, and its good safety profile. These data support the use of suburethral bands and, since the beginning of this century, they have displaced retropubic colposuspension. Objective: Study the long-term efficacy and safety (9 years) of transobturator suburethral band surgery (TOT) in the treatment of SUI. Material and methods: An observational descriptive study with N=133 patients operated with TOT between 2012 and 2021 at the Valladolid University Clinical Hospital (Spain), who had completed at least one year of postoperative follow-up. Variables analyzed: total continence and objective healing rates, subjective healing rate and postoperative complications. Statistics: Statistics: Student t-test or U-Mann-Whitney for quantitative variables, Chi-Square for categorical variables. Results: total continence rate from 1 to 9 years: 70.7%, 63.4%, 63.9%, 55.4%, 54.2%, 51.2%, 52.4%, 33.3%, and 100%. Objective cure rate from 1 to 9 years: 92.1%, 91.5%, 89.7%, 80%, 85.4%, 75.6%, 71.4%, 66.7%, and 100%. Subjective cure rate according to the median score on the ICIQ-IU-SF questionnaire from 1 to 9 years: 0, 1.5, 2, 4, 4, 6, 8, 12, and 0. Immediate complications were reported in 12.8% of cases, intermediate in 5.3%, and late in 30.1%. Of note was the occurrence of “de novo” urge urinary incontinence (UUI) in 8.3% and recurrence of SUI in 12%. Conclusions: TOT surgery is one of the main therapeutic tools in the surgical treatment of SUI, with high efficacy and a good safety profile. However, more long-term studies are needed to consolidate the results obtained with this technique.
IMPLEMENTASI SPEECH RECOGNITION PADA SISTEM KENDALI PERANGKAT ELEKTRONIK RUMAH BERBASIS IoT (Internet Of Things) DAN MOBILE APPLICATION
Authors: Mohamad Salman Farizi  , Somantri Somantri , Yustiana Indra
Published: December 2022

Speech Recognition adalah proses otomatis mengenali kata-kata yang diucapkan orang berdasarkan informasi dalam sinyal suara. Penulis memiliki ide untuk mengkombinasikan speech recognition dengan sebuah microcontroller sehingga kita bisa mengendalikan perangkat elektronik melalui perintah suara tidak hanya itu penulis juga mengunakan internet of things sehingga perangkat bisa di kendalikan jarak jauh melalui aplikasi android. Dalam pengembangan aplikasi ini penulis mengunggunakan Metode Prototype atau model prototyping, Model prototyping merupakan suatu teknik untuk mengumpulkan informasi tertentu mengenai kebutuhan-kebutuhan informasi pengguna secara cepat.Sesuai uji validitas dari data responden kuisioner yang sudah diolah hasilnya Valid. Dan hasil uji realibilitasnya dapat disimpulkan dari hasil pengolahan data berikut 0,854 0,70 yang hasilnya sudah ter-reliabel. Sehingga hasil dari keseluruhan pada penelitian ini, Kecepatan waktu respon lampu menyala dengan Speech Recognition adalah yang tercepat 2 detik sedangkan yang paling lambat adalah 5 detik. Kecepatan waktu respon lampu menyala dengan menekan button adalah yang tercepat 2 detik sedangkan yang lambat adalah 3 detik
PENGENALAN ILMU KIMIA MELALUI FUN CHEMISTRY BAGI SISWA/I SDN INPRES DOBONSOLO, KABUPATEN JAYAPURA, PROVINSI PAPUA
Authors: Abulais Diana M. , Krimadi Lodwyk Nomenzen
Published: December 2022

Community service activities have been carried out at SDN Inpres Dobonsolo, Jayapura Regency, Papua Province. This activity was in the form of counseling and demonstrations about the introduction of chemistry through Fun Chemistry for students. The purpose of this service is to increase and train creativity and foster students' interest in chemistry. Activities carried out by introducing the role of chemistry in everyday life and conducting simple experiments such as rainbows in bottles; blowing gas balloons using mentos and baking soda; elephant toothpaste; and color magic. Experiments were carried out using tools and materials that are easily available around at home or school. Students are very enthusiastic, active, interactive, and not rigid in conducting simple experiments at the demonstration stage. In other words, through Fun Chemistry students can develop skills in science and scientific attitudes, so that the assumption about learning chemistry is difficultKeywords: SDN Inpres Dobonsolo; Chemistry; Fun Chemistry; Simple Experiment
PENGUATAN MATERI LINGKUNGAN HIDUP DAN PENGOLAHAN SAMPAH ORGANIK DI SMA YAPIS NIMBOKRANG, JAYAPURA
Authors: Suharno Suharno , Tanjung Rosye H.R. , Wanimbo Efray
Published: December 2022

The aims of this activity were to empower local community to turn organic waste into eco-enzyme. The community was SMA Yapis Nimbokrang, Jayapura. The method use were presentation and practice. After practicing, the student of SMA Yapis were tested to evaluate their understanding regarding eco-enzyme. The result shown that their understanding rose from 32% to 98.4 %. The knowledge regarding compos, adn biogas rose to 100% and 44% respectively. For eco-enzyme, student knowledge rose to 85% from 14 %. Therefore, we can conclude that this activity has positive impact in raising people knowledge and awarness in terms of processing organic waste sustainably. Keywords: local community; eco-enzyme; compos; Nimbokrang; Jayapura
MUALLİM SADİ BEY’İN, MEVLÂNA’NIN TÜRKÇE BİR KITASINI TAZMİN EDEREK YAZDIĞI ŞİİR
Authors: ŞAFAK Yakup
Published: December 2022

Yakın dönem yazar, şair ve eğitimcilerinden Muallim Sadi Bey (1853-1916), daha çok balkanlarda görev yapmış, yayın faaliyetlerinde bulunmuş, şiir ve yazılarını, genellikle dinî, millî, ahlâkî, ictimâî konularda kaleme almış; kimi zaman da onlarda eğitim ve öğretimle ilgili görüşlerini dile getirmiştir.

O, Türkçe’yi sade ve anlaşılır şekilde kullanan bir zattır. Balkanlarda, Yeni Lisan Hareketi öncesinde yayın yoluyla Türkçe’yi güçlendirme ve anlaşılır kılma yolunda faaliyet göstermiştir.

Makalemizde Muallim Sadi’nin bu fikirle kaleme aldığı bir manzûme ele alınmıştır. Şair, Mevlâna’nın (ö.1273) Türkçe bir kıtasından alıntı yaparak yazdığı bu manzûmeyi, Cerîde-i Sûfiyye’nin 8 Temmuz 1328 (21.7.1912) tarihli 54. sayısında yayınlamıştır. Şiirini, o tarihte Mevlevîlik tarikatinin en üst makamında bulunan, aynı zamanda Türkçülük ve Türkçecilik akımının öncü kadrosu içinde yer alan Veled Çelebi’ye (1867-1953) ithaf etmiştir.

Bu sebeple yazımızda Veled Çelebi’nin kısa hayat hikâyesi, Türkçecilik hareketindeki yeri ve onun, Mevlâna’nın eserleri ve Türkçe şiirleri üzerindeki çalışmaları da değinilmiştir.

Diğer taraftan bu manzûme, ülkemizde bir yönden, büyük mütefekkir ve mutasavvıf Mevlâna Celâleddîn-i Rûmî’ye olan bakışı da yansıtmaktadır. Onun için Mevlâna’nın Anadolu’da yazılı edebiyatın gelişimindeki rolüne değinilmiş ve tazmin edilen kıtanın metni üzerinde bazı açıklamalar yapılmıştır.
Risk aversion and labor behavior determination factors on insurance products
Authors: Affandi Affandi
Published: December 2022

Purpose—The purpose of this article is to try to look at the risk aversion determination factors that encourage the behavior of the educated workforce using or not using insurance products. The indicators used are income, education level, number of Dependents, Gender, employment status, place of residence, generation group, insurance product information

Method—The analysis model used is probit regression. Primary data obtained through a survey of 111 respondents and only 93 educated workers in Aceh Province met the specifications and filled in completely.

Research Results—The results show that only employment status has a positive and significant effect on labor preferences for insurance products, while other factors are not significant.

Limitations — This research is still limited in samples, factors that are used as objects of research and less in-depth about the role of information affecting people's behavior. This is a suggestion for researchers to further conduct more comprehensive research.

Practical Implications—The results of this study can be used as a reference for the government and companies must synergize with each other in planning insurance programs. High-income workers are expected to join insurance programs, mutual care is an important social capital to maintain the economy. The government or insurance company must increase the socialization of information on the importance of insurance programs to deal with the uncertainty of future risks.
Analysis of Big Data and Cloud Services with Experimental of Manually and Automated Testing
Authors: Prof.(Dr.) Rajender Kumar
Published: December 2022

Big Data has increased much focus from the scholastic world and the IT business. In the advanced and figuring world, all together is created and gathered at a rate that quickly surpasses the limit go. Right now, more than 2 billion individuals worldwide are associated with the Internet, and more than 5 billion people possess cell phones. By 2020, 50 billion gadgets are relied upon to be associated with the Internet. Now, anticipated information creation will be 44 times more prominent than that in 2009. As data is exchanged and shared at light speed on optic fiber and remote systems, the volume of information and the speed of market development increment. In any case, the quick development rate of such substantial information creates various difficulties, for example, the fast development of information, exchange speed, different information, and security. In any case, Big Data is still in its outset arrange, and the space has not been checked on all in all. Distributed computing has opened up new open doors for testing offices. New innovation and social network patterns are making an ideal tempest of chance, empowering cloud to change inside tasks, Customer connections and industry esteem chains. To guarantee high caliber of cloud applications being worked on, designer must perform testing to analyze the quality and exactness whatever they plan. In this examination paper, we address a testing natural engineering with important key advantages, to perform execution of experiments and utilized testing strategies to improve nature of cloud applications.
Analysis and Implementation of 5G-IoT based Smart Residential Buildings using Cisco Packet Tracer 8.1
Authors: Narendra Gurjar  , Jitendra Dangra
Published: December 2022

Integration of IoT and 5G enables us to fulfil today’s need to create smart residential buildings to enhance life quality and safety in various aspects. This paper proposes the design and implementation of a 5G IoT based Smart Residential Building using the most recent version of CISCO Packet Tracer (a simulation software). Different smart IoE devices were used for automation which allow distant monitoring and controlling. Since these buildings are vulnerable to cyber-attacks and security threats, this paper also analyzes the proposed security framework and how such an implementation on using various sensors and actuators enables us to enhance the security and safety. In addition to this, we also outline the measures to be taken by the government and building owners to strengthen the security. The simulation results show that integrating 5G and IoT is a promising and cost-effective if it gets implemented practically in the real world.
Stack Overflow Assistant Chatbot Using NLP Techniques
Authors: Arun Karthik S  , Shiv Sanjaybhai Makadia  , Jasmine Batra  , Sankar Ganesh S
Published: December 2022

Searching on the Stack Overflow website, a platform for the programming community that features questions and answers on an extensive range of computer programming topics, can be arduous, laborious, and time-consuming at times. Aimed to address this issue, this paper proposes a conversational chatbot to assist with Stack Overflow search. The dialogue chatbot will answer questions related to programming and simulate dialogue and chit-chat on all non-programming-related questions, thus helping users find answers to programming questions present on the Stack Overflow website and also holding conversations with them. Using an access token, the bot is integrated with the Telegram messenger application that serves as a medium for a user to ask questions and for the bot to respond to them. This integration enables us to talk to the bot in Telegram. Results show that the selected algorithms are in accordance with the implementation of the chatbot approach with good test accuracies.
An Optimal Feature Set for Stylometry-based Style Change detection at Document and Sentence Level
Authors: Vivian Oloo  , Lilian D. Wanzare  , Calvins Otieno
Published: December 2022

Writing style change detection models focus on determining the number of authors of documents with or without known authors. Determining the exact number of authors contributing in writing a document particularly when the authors contribute short texts in form of a sentence is still challenging because of the lack of standardized feature sets able to discriminate between the works of authors. Therefore, the task of identifying the best feature set for all the tasks of the writing style change detection is still considered important. This paper sought to determine the best feature set for the writing style change detection tasks; separating documents with several style changes (multi-authorship) from documents without any style changes (single-authorship), and determining the number and location of style changes in the case of multi-authorship. We performed exploratory research on existing stylometric features to determine the best document level and sentence level features. Document level features were extracted and used to separate single authored from multi-authored documents, while sentence level features were used to answer the question of determining the number of style changes To answer this question, we trained a random forest classifier to rank document level features and sentence level features separately, and applied an ablation test on the top 15 sentence level features using k-means clustering algorithm to confirm the effect of these features on model performance. The study found out that the best document level feature set for separating documents with and without style change was provided by an ensemble of features including number of sentence repetitions (num_sentence_repetitions) as the most determinant feature, 5-grams, 4-grams, Special_character, sentence_begin_lower, sentence_begin_upper, diversity, automated_readability_index, parenthesis_count, first_word_uppercase, lensear_write_formula, dale_chall_readability, difficult_words, type_token_ratio. These were the top ranked features in experiment one. On the other hand, the top fifteen sentence level features based on feature ranks using random forest classifier were diversity, dale_chall_readability grade, check_available_vowel, flesch_kincaid grade, parenthesis_count, colon_count, verbs, bigrams, alphabets, personal pronouns, coordinating conjunctions, interjections, modals, type_token ratio and punctuations_count. Consequently, the optimal feature set for determining the number of style changes in documents was considered based on the results of the ablation study on the top fifteen sentence level features, and was provided by an ensemble of features including personal pronouns, check_available_vowels, punctuations_counts, parenthesis count, coordinating conjunctions and colon count.
Splay Tree and Skip List: Effectiveness and Analysis in Internet Packet Categorization
Authors: Prof. Sumit S Shevtekar  , Harish Sumant  , Abhijit Suryawanshi
Published: December 2022

Internet packet traffic has expanded rapidly as a result of the rising number of world wide web users and the amount of information sent by software applications which has highlighted the necessity of speeding up the processing required in network systems. Packet categorization is among the strategies utilized across network architecture. Skip List and Splay Tree, two of the most important data structures used in decision trees, will be investigated for their effectiveness in packet categorization in this study. The period of packet identification, the amount of memory accesses, and memory consumption per event make up our performance criterion. These criteria are used to judge whether data structure, between Skip List and Play Tree, is the preferable one to use for accurate packet classification.
A Framework for Data Security and Sharing in Cloud Computing Environments by Using Cryptographic Algorithms
Authors: Dr. Rafath Samrin  , Aluri Gopi  , Mangalampalli Sesha Sai Lakshmi Lavanya  , K Swetha
Published: December 2022

Cloud storage is a liberating cloud application group to establish an internal database system. However, cloud storage raises security concerns. Inside the case of data sharing, the data is both cloud-specific and ancient music. Secure data distribution within a group which prevents the examiner from fearing legitimate but cruel agents important research questions. Data sharing and cloud storage play an important role in communication, as they can provide users with efficient and effective security services. To protect shared secret data, cryptographic methods are often applied. A large number of researchers, universities, government departments and commercial companies are adopting the cloud environment due to the initial investment, its high scalability and its many features. Despite many initiatives supporting the cloud environment, it faces many challenges. Data protection is a major concern in the information security and cloud computing industry. Many solutions have been developed to overcome this challenge. However, there is a there is not enough research between the current solutions and the emerging need to analyze, organize and analyze the important work that is done to study these solutions to respond to the field. This article provides an overview of research and process analysis, as well as an in-depth analysis of the topic of distributed security and data storage in cloud environments. Discussions on each dedicated process include: data protection services, rights and changes in the field, basic and comprehensive information including scope of work, achievements, limitations, future directions, etc. in any solution. In addition, a comprehensive and comparative analysis of these current methods is discussed. Then, the speed of the process is measured by the requirements of the search space and the future directions in the field are shown. The authors agree with this report. These plans will be what motivates researchers to do research in the field.
Steganography Techniques - An Overview
Authors: Amitava Podder  , Piyal Roy  , Smaranika Roy
Published: December 2022

Cryptography, or the use of code, has a sinister relative called steganography. Steganography is supposed to offer confidentiality whereas encryption is said to provide privacy. A method of concealed communication is steganography. The process of steganography involves hiding a message in a suitable carrier, such as an image or audio file, which can then be transported to the receiver without anybody being aware that it contains a hidden message. This is a method that civil rights organizations in oppressive states, for instance, might utilize to propagate their message without the knowledge of their own government. This paper aims to discuss different techniques for implementing steganography to multimedia files (text, still images, audio, and video).
Rakel Model For Multi Class Label Classification Using Ensemble Neural PCA On Healthcare Event Log
Authors: Smt. S. Yamuna Rani  , Dr. Sumagna Patnaik
Published: December 2022

Process change over time is of particular issue in the field of healthcare, as healthcare practices emerge and change in response to the individual needs of patients. We propose a systematic procedure to study the change in process in time, which is appropriate for the complex field of healthcare. Our approach is based on qualitative process comparison that is based on 3 levels: A broad viewpoint (process model) and a mid-level perspective (trace) and a fine-grained, detailed (activity). Our goal was to identify the changes, and understand the process's evolution. We demonstrate this approach by through a case study of tumor pathways within Leeds where we observed evidence of change points at various levels. This paper will expand our investigation by using redundancy strategies employing Neural PCA. We labeling the labels in order to determine and analyzing the miners utilized in process discovery. We also provide an in-depth analysis of the process of research at the trace and activity levels using group classifiers. Through our study we demonstrate that this approach is qualitative and can provide a valuable understanding of changes in process in time. Analyzing change on three levels will provide evidence for the process's evolution when different perspectives agree and contradictory evidence may result in a discussion with experts in the field. This approach is useful to those who are dealing with complex processes that undergo changes in time.
Automation for Ease of Life : To Schedule Bulk Messaging and Email System using Python
Authors: Sushil Chandra  , Udai Raj  , Rajeev Sonkar  , Pragati Srivastava  , Varun Pratap Singh  , Mohd Ali Asgar Niazi
Published: December 2022

Now a days Automation is used in every field. Even though automation is used in our daily life like Air conditioner, Television, Fan and most of the electronic gadgets are remotely controlled and also voice controlled. Machine mimics the human task, and reduce time. Humans can make mistake in doing same task repeatedly but machines cannot. Automation improves efficiency of work. In this Paper we are proposed Automation in sending Mails and Text Messages using Python.
A Review on Transfer Learning Approaches for Skin Melanoma Classification
Authors: Arti Pandey  , Dr. Sheshang Degadwala  , Dhairya Vyas
Published: December 2022

Skin is important organ of our body which covers muscles, bones, and other parts of body. Melanoma is a kind of skin cancer that begins in melanocytes cell. It can influence on the skin only, or it may expand to the bones and organs. It is less common, but more serious and aggressive than other types of skin cancer. Majority of deaths related to skin cancer occur due to Melanoma over the world. For effective treatment it is very important to melanoma identified earlier as possible. As well as detection of the stages of melanoma to recognize depth of spreading of melanocyte cell in other organ of body. Process of Detection of Skin cancer is difficult, expensive, and time-consuming process. Purpose of this research review is to more accurate recognition the types of Melanomas and decrease ratio of false diagnosis using transfer learning model for melanoma classification using AlexNet, VggNet and ResNet. The working of the different transfer learning model, its pros. and cons. Are discuss in this paper.
A Review on Forecasting Crime against women in India using Machine Learning Approaches
Authors: Shivani Surve  , Dr. Rocky Upadhyay  , Dr. Sheshang Degadwala  , Dhairya Vyas
Published: December 2022

Crimes against women have become a global problem, and many governments are striving to curb them. The National Crime Records Bureau indicates that crimes against women have risen substantially. In June, NCW received the most crime complaints against women in eight months. The Indian government is interested in finding a solution to this problem and promoting social progress. Each year, crime reports generate a vast amount of data, which is collated. This information may help us evaluate and anticipate criminal behavior and reduce criminal activity. Data analysis involves assessing, cleansing, manipulating, and modelling data to draw conclusions and enhance decision-making. This research uses supervision learning to analyze the Indian women's criminal examination. The police department received crime reports. Anomalies, invalid locations, longitudes, and scopes were created in advance. The study was meant to breakdown women's crimes by kind and district and produce crime heat maps. The results help decision makers predict and prevent crimes against women. Applying Find the geographical criminal hotspot and the kind of crime, such as murder, rape, sexual assault, beating, dowry threats by the husband or his family, immoral trafficking, stalking, etc.
Implementation of Carlson Approximation-Based Fractional Order Universal Filter Using MO-CCCII
Authors: S. Manoj  , Dr. B. T. Krishna
Published: December 2022

In this paper, a new current mode fractional order filter is presented using multi-mode second generation current controlled current conveyors (MO-CCCII).in this method consists of two resistors and grounded capacitors using 3MO-CCCII. This is accomplished with a fractional-order capacitor, also known as a stationary phase element, to form a fractional-order filter. The proposed filter is designed as fractional 0.2, 0.4 orders. The fractional order capacitor was obtained using reduced integer-order models of fractional differentiators using the Carlson method18 using third order Foster I RC network circuit. The filter is simulated using BJT-based MO-CCCII using LTSPICE Simulation for the filter to verify the theory and show its performance of it.
Smart Waste Management Using IoT
Authors: Sakshi Neema  , Prof. Kaushal Gor
Published: December 2022

The rapid increase in population, demands higher infrastructure and a Lots of facilities. And nowadays the waste management is the considerable challenge to the authorities, not only for the developing nations but also for the developed once. The waste creates unhygienic condition for the citizens which are cause of disease. To solve this problem the proposed technique is IOT based “smart waste management" is best and trending solution. The garbage bins are developed by using sensors and some networks. Garbage bin checks the fill level of dustbin using sensors and automatically a Truck driver (garbage collector) gets a information by GPS that the particular area or locality the dustbins are filled. The entire process is controlled by a At mega 328P 8-bits microcontroller. It is design using IOT that can give a framework to a smart waste management system.
Framework For Data Development in Mordern Situation Using Machine Learning Technology
Authors: Syed Aamir Bokhari  , Progyajyoti Mukherjee  , Suhail Shaik  , Abhishek Samar Singh
Published: December 2022

This research is mainly focused on to talk about data preparation, what better way to start than from observation. Everyone is familiar with the adage that a data scientist should spend 80% of his or her time preparing the data and just 20% actually working with it, particularly when it comes to visualization. This essay will concentrate on data preparation, including the most common issues, solutions, and developments. Data must be put into the proper form before analysis can be done on it. Data manipulation and organization are steps in the preparation of data for analysis. Iteratively transforming unstructured, chaotic raw data into a more organized, practical form that is ready for further analysis is known as data preparation. Data profiling, cleaning, integration, and transformation are just a few of the primary activities (or tasks) that make up the entire preparation process.
Analysis of the Feasibility of VR Metaverses and Examining its Societal and Health Ramifications - A Survey
Authors: Sanjay Basu  , Divyesh Jaiswal  , Sai Danoosh  , Rohith. M. Saralaya
Published: December 2022

Throughout this journal, we aim to highlight the existing problems that plague modern Metaverses, discuss at length the paradigm shift society at large might face upon the widespread utilization of VR spaces by the general public, and discuss solutions on how to make Metaverses financially viable. Additionally, we will be touching upon the features that, if implemented, will help unveil the infinite potential of Virtual Reality.
Patrilineal and Matrilineal Organization in Sumatera: the Batak and the Minangkabau
Authors: Khairina Jikti
Published: December 2022

This study is about Matrilineal and Patrilineal descent between the  Batak and the Minangkabau culture. Thus, this paper analyzes the view  of adults (educated) about the phenomenon in Indonesia, whether the children of those organization confused of the clans of himself/herself. And then this paper aims to elaborate the reasons why adults (educated) people in North Sumatera choose Patrilineal rather than Matrilineal. The research was conducted by using qualitative research. To answer the problems of the study, the data were collected by giving questionnaire. The result of this study were the following; 1) Patrilineal and Matrilineal are supported by the adults (educated) people who participated  in  filling out questionnaires for this study 2) The reasons why educated people in North Sumatera prefer to choose Patrilineal rather than Matrilineal.
Assistência em saúde no período gestacional: o protagonismo do profissional de enfermagem no atendimento de mulheres privadas de liberdade
Authors: Arariba Juliana da Silva
Published: December 2022

O aumento do número de mulheres envolvidas em crimes graves é destacado com preocupação por grupos sociais organizados, pesquisadores e políticos como um tema de urgente debate político, social e governamental. Por sua vez, o enfermeiro tem sido reconhecido pelo Ministério da Saúde e outros órgãos e instituições não governamentais, como o profissional que possui formação holística e procura atuar de forma humanizada, visando proporcionar uma assistência de enfermagem que ofereça conforto e segurança no cuidado à parturiente. Esse estudo teve o objetivo de avaliar o papel do enfermeiro para promoção de assistência em saúde e saúde da mulher no atendimento a mulheres grávidas que se encontram privadas de liberdade no Brasil por meio de revisão da literatura. Durante a rotina de trabalho do enfermeiro que trabalha na assistência em saúde da mulher, é muito relevante que esse trabalhador tenha amplo conhecimento técnico, científico e prático para tomar as decisões certas em casos de urgência e emergência, bem como, delegar ações preconizando o acolhimento e segurança à equipe, paciente e família. Nesta pesquisa os resultados apontam que se faz relevante que sejam tomadas medidas para estabelecer a expansão e promover a melhoria das condições estruturais, gerenciais, orçamentárias e humanas do sistema prisional brasileiro, que carece de profunda reestruturação física e operacional. Nesse processo, o enfermeiro é um ator fundamental na promoção de cuidados de saúde.
ТЕПЛОВІ НАСОСИ ДЛЯ ТЕПЛОПОСТАЧАННЯ ТА ГАРЯЧОГО ВОДОПОСТАЧАННЯ АГРОПРОМИСЛОВИХ ПІДПРИЄМСТВ
Authors: Босий Микола Вікторович
Published: December 2022

Натепер зміни, які відбуваються в агропромисловому комплексі України потребують розробки та створення новітніх теплонасосних технологій для теплопостачання та гарячого водопостачання агропромислових підприємств. У статті розглядається проблема використання теплових насосів (ТН), що працюють на альтернативних джерелах енергії для теплопостачання та гарячого водопостачання агропромислових підприємств. У своїй роботі ТН використовують низькопотенційну теплоту повітря, водойм і надр землі. Метою роботи є обґрунтування та дослідження доцільності використання ТН на підприємствах агропромислового виробництва. Виконано аналіз характеристик ТН, що працюють з різними джерелами низькопотенційної теплоти. Визначено фактори, які впливають на енергетичну ефективність ТН, оцінені особливості роботи ґрунтових, водяних та повітряних ТН для агропромислових підприємств України. Проаналізовано вплив тривалості температур повітря різних величин на теплопродуктивність ТН. Для підвищення ефективності роботи теплонасосної системи запропоновано схему відбору низькопотенційної теплоти з використанням ґрунтового ТН. На підставі проведених досліджень встановлено, що перевагою повітря як теплоносія є те, що повітряні ТН можуть працювати практично повсюди і не вимагають облаштування низькотемпературного контуру. Перспективним способом підвищення ефективності ТН при річному циклі його роботи є комбіноване використання низькопотенційної теплоти ґрунту та повітря. Теплонасосна система з двома джерелами енергії забезпечує високу теплопродуктивність ТН протягом всього року і має більш високий показник енергетичної ефективності у порівнянні з традиційними рішеннями. ТН мають значну перевагу перед іншими теплоенергетичними установками. Вони споживають енергію поновлюваних джерел, знижують витрати на електропостачання більш ніж в половину – це повністю автоматизований пристрій. Викорисання ТН для утилізації низькопотенційних теплових потоків економічно вигідно. Аналіз ефективності систем теплопостачання показує, що в сучасних економічних умовах тенденція систем теплопостачання може розвиватися в наступних напрямках: застосування парокомпресійних ТН, використання вторинних енергоресурсів промислових підприємств агропромислового комплексу, підвищення теплотехнічних характеристик будівель. Модернізація із застосуванням даних заходів може суттєво підвищити економічні і технічні характеристики теплопостачального обладнання для будівель агропромислового виробництва.