bluuebunny/crossref_metadata_2025 huggingface dataset:
An X- Ray Photoelectron Spectroscopic Examination of Glasses from the Se-S Alloy System
Authors: Saffarini G. M. , Orton B. R.
Published: April 2023

Mixtures of sulphur and selenium have been prepared in the form of bulk glasses over the composition range Se, 10, to 50 at % S. X-ray diffraction measurements on these alloys give structure factors which have first sharp diffraction peaks (FSDP) indicating medium as well as short range order. To investigate possible local order, x-ray photoelectron spectroscopic (XPS) measurements have been obtained on these glasses. The emphasis of the measurements has concentrated on two features, (a) the valence band, which depends on the over-all density of states and (b) the plasmon energies from the 1,31v14.5Mos selenium Auger peaks which may be looked upon as being determined by the local electron density about the selenium atoms. It is found that the s-type peaks of the valence band split into two components between 15 and 40 at % S while the p-type peaks remain similar to pure selenium. The plasmon energies from the Auger peaks change markedly with composition. As sulphur is added to selenium the plasmon energy decreases, compared with the pure element, but sluts to increase at 20 at % S so that at a composition of 40 at % S the plasmon energy is the same as that of elemental selenium. A simple model is proposed to explain these results.
Spectrophotometric Determination of Uranium with Di-2-pyridyl Ketone Benzoylhydrazone
Authors: Abu-Eid Maher , Zatar Nidal A. , Al-Nuri Mohammad A. , Khamis Mustafa , Hannoun Mohammad , Khalaf Shukri
Published: April 2023

A method for the spectrophotometric determination of uranium (VI) by complexation with Di-2-pyridyl ketone benzoylhydrazone (DPKBH) in 50% (v/v) ethanolic solution is described. Uranium (VI) forms a 1:2 complex with DPKBH. The complex has a maximum absorbance at 377 um. Beer's law is obeyed over the range 0, 2 - 12 ug.m1' 1. The effect of pH, excess reagent, percentage of ethanol (v/v), stability of the complex and the tolerance limit of many metal ions and common anions have been reported. The method has been applied to the determination of uranium in Egyptian monazite sand.
Polymerization of 4-Methylpentene -1- by the MgCl2|Eb|TiCl4|Al(iBu)3 Catalyst System 1. Kinetic Investigations
Authors: Abu-Eid M. A. , Tait P. J.
Published: April 2023

The kinetics of the polymerization of 4-methylpentcne-1- with the MgC12|EB|Ticl4|Al(iBu)3 catalyst systems have been investigated. The conditions and requirements to achieve the highest activity and stereospecificity of the MgC12-supported catalyst systems were discussed. Moreover, the role of aluminum alkyl and ethyl benzoate on the activity and stereo-regularity of the polymers have been reported.
On Composition Operators on A2
Authors: Masri Mahmud Ilayyan
Published: April 2023

If (?) is an analytic function mapping the open unit disk D into itself and A2 is the Bergman space of analytic functions on D, the compositon operator C?, on A2 is defined by C?f=fo?feA2. In this paper we consider the spectral radius, unitary equivalence, sub-normality of C? and study the case ?(z) = zm, m = 2, 3,….. in detail.
A Historical Review of the Land Tenure and Registration System in Palestine
Authors: Tamim Najeh S.
Published: April 2023

Due to its strategic location, Palestine has played a significant role in world politics. These politics, in turn, have been major influencing factors in the culture and history of Palestine. The land in Palestine has been, and still is, the central issue in the Palestinian - Israeli conflict; each claiming sovereignty over it. This paper will briefly outline the evolution of the land tenure and registration system in Palestine from the early days of Islam up to the present. A future methodology that may improve the current system will be proposed at the end of the paper.
HK Spaces with AD Property
Authors: Hakawati Abdallah A.
Published: April 2023

If H is an HK space which has AD property, then we define the matrix A(H)= (amn) as am=< em,en>H. We prove that A(H) is uniquely determined by H , and hence conclude that there is a one - to - one map between the collection of all HK spaces which have AD, and that of all matrices which are positive definite and Hermitian. Finally, we calculate A(H2|w) where W={dn} is an interpolating sequence.
Emotional and Behavioral Disorders/Difficulties in the School Context and the Role of ICTs: A Literature Review
Authors: Gkora Vana , Stathopoulou Agathi
Published: April 2023

Teachers have to deal with various emotional and behavioral difficulties/disorders daily in the classroom. As behavior is interpreted by subjective and social factors, problematic behavior in school is a way of students' reaction to situations that take place in the classroom and to teachers’ attitudes, thus showing their desire to relate to him/her with a more substantial bond. In these difficult adjustment conditions, the teacher is called upon to help students develop their academic skills and manage their emotions by finding solutions. This article is a literature review investigating emotional and behavioral difficulties/disorders that appear in the classroom, the management of these difficulties/disorders by the teacher to prevent them, the influence of teachers' attitudes on students’ behavior and academic achievement, the implementation of appropriate intervention programs, and the role of ICTs in controlling such difficulties/disorders.
DELEGITIMATION WASIAH LETTER OF CHILDREN ADOPTED (Case Study of the Decision of the Supreme Court of the Republic of Indonesia. No.311 K /PDT/1996)
Authors: Nugraha Dian Rahmat
Published: April 2023

Abstract. This research is about the practice of adoption of children among Indonesian society which is carried out by couples who are married but do not have children. This study aims to determine the legal status of adopted children, in consideration of judges, review of Islamic and customary law on these decisions. This research framework is based on the concepts and theories of Islamic law. As a big theory for the concept of justice, at the next level the theory of maqashid al-sharia and the operational level uses the istinbath al-ahkam (aplicative) theory. This research method uses normative juridical methods. Collecting data through library research and field research. The research concludes that the principle of adoption according to Islamic law is childcare with the intention that a child does not become neglected and grows and develops both physically and mentally. Regarding this, Islam does not prohibit the provision of various forms of livelihood assistance to adopted children; Judges 'considerations are based on juridical, sociological and philosophical grounds and judges' legal considerations at the Supreme Court are based solely on juridical basis. Islam views that the decision of the Supreme Court is inconsistent because it does not adhere to elements of justice and legal certainty.

Keywords: wasiat wajibah, adopted child, inheritance
SUSTAINABILITY OF VIRTUAL CRIMINAL COURT IN THE PERSPECTIVE OF IUS CONSTITUENDUM
Authors: Mubayyinah Fira Mubayyinah
Published: April 2023

Abstract

This research is based on the development of virtual trials during the pandemic. This paper examines and reflects and sees the urgency of the sustainability of criminal court e-court in the future. In the judiciary, the use of technology has not been maximally used for the benefit of law enforcement in serving the community. During the Covid-19 epidemic, almost all activities depended on the existence of technology, including law enforcement and services for people seeking justice. The phenomenon of virtual trial implementation during the Covid-19 pandemic provides many lessons and new awareness regarding the importance of reform in criminal justice systems. Various obstacles, both in juridical and empirical aspects, are modalities for correcting criminal justice systems in the future. This research is a normative juridical study using a statutory approach, with primary, secondary and tertiary legal materials then analyzed by descriptive analysis. The results of the study conclude that the implementation of virtual civil court during the pandemic is a form of modernization in criminal justice systems that must be continued in the future. There are at least three reasons for the sustainability of the virtual civil court, namely political, sociological and practical. These three considerations serve as the justification for the formulation of policies on the use of technology in the judiciary.

Keywords : Virtual Civil Court, Ius Constituendum
LEGAL ANALYSIS OF PREGNANT WOMEN’S MARRIAGE IN ARTICLE 2 OF LAW NO. 1 OF 1974 AND ARTICLE 2 OF KHI IN PERSPECTIVE OF MAṢLAḤAH AL-SYÂȚIBI
Authors: Komaruzaman Maman
Published: April 2023

This article discusses the prevalence of cases of pregnancy before marriage and the law of marriage. This paper is a library research with qualitative data. The basis for pregnant marriage in Indonesia is contained in Article 53 of the KHI and Article 2 of Law no. 1 of 1974. Normatively, the two laws actually create a negative stigma, which is seen as legalization of adultery by some people. Therefore, this study was analyzed using a comparative approach to the consensus of Imam Madzhab and the approach of maslahah theory by Imam Al-Syâṭibi. The purpose of this study is to establish a correlation between the arguments and the two laws of pregnant marriage. The Maslahah Al- Syâṭibi theory states that it is God's urgency to regulate the Shari'a to create human goodness in this world as well as the hereafter. In Imam Ash- Syâṭibi's view, the law of marriage for pregnant women due to adultery is permissible and legal. The reasons for the permissibility are (1) considering the benefit of pregnant women as well as hifdz al-nasl (the child they are carrying); (2) stop adultery with Sadd al-dhari'ah and urf (custom) solutions; (3) reduce the shame and psychological embarrassment for pregnant women and their children in the flow of life in society.
WOMEN AND GENDER IN CORRUPTION IN INDONESIA
Authors: Handayani Febri
Published: April 2023

This paper examines the involvement of women in corruption in Indonesia. Today people who commit corruption no longer recognize gender. The perpetratorsare of corruption are no longer men, but also the perpetrators are women. The number is not as much as men, but the number is increasing from year to year, with various professionals backgrounds. Even sadly, women are objects of gratification to facilitate affairs. Based on this, by researching normative law, and using a statutory approach as well as a conceptual approach. The results of the study indicate that women who occupy strategic positions are able to be a balancer because women have more sensitive to taste, refinement of mind, and can play a central role with its natural nature. Corruption is an immoral act that is used to carry out actions with institutional integrity standards. Increased involvement of women not as victims of corruption but as agents of change involved is very important to solve problems. But on the other hand, it is known that the factors that cause corruption can be seen from factors that come from within the perpetrators of corruption, but can also come from outside the perpetrators. Prevention of corruption can be done by means of the extent to which anti-corruption values can be internalized within oneself and changes through an integral approach to fighting corruption.
THE MARRIAGE TRADITION OF NGARAH GAWE IN THE VIEW OF ISLAMIC LAW (Study in Bukit Harapan Village, Air Rami, Mukomuko Regency)
Authors: Sultanudin Atep , Fahimah Iim , Taman Badrun
Published: April 2023

This paper discusses the implementation of the Ngarah gawe marriage tradition in Bukit Harapan Village, Air Rami District, Mukomuko Regency, Bengkulu province, and how it is reviewed from the perspective of Islamic law. The research method used in this research is using the field research method (field research). The location of the research is in Buki Harapan Village, Air Rami District, Mukomuko Regency, and the data collection techniques are interview, observation and documentation methods. The results of the research are: (1) the implementation of the ngarah gawe marriage tradition is as follows; narosan, seserahan, ngaras, ngeuyeuk seureuh, and marriage contracts, with the aim of preparing to create a harmonious, peaceful and peaceful family through the assessment of the in-laws. (2) as for the process of implementing the ngarah gawe tradition, it does not conflict with Islamic Shari'a because in the process of implementation, the values or Islamic Shari'a are not forgotten in the slightest.
PROVISIONS FOR FAMILY ALIMONY IN THE PERSPECTIVES OF THE QURAN AND HADITH
Authors: . Ansari
Published: April 2023

This paper examines the alimony in the family perspective of the Qur'an and hadith contained in surah Al-Baqarah verse 233 and surah Al-Nisaa verse 32, using the library research method, which uses literature, and other legal materials as the main object in studying living in the family. This paper aims to determine whether a wife can work outside the home to provide for the family and how Islam gives the wife the most expansive freedom to work outside the home. A basic need for both husband and wife towards their children and their families is earned. The results of this study show that the wife who works to help the husband meet the livelihood of her legal family mubah (may) with various meanings that the ulama have determined, namely with the husband's permission and indeed solely needed to meet the needs of the family. The need to work for the wife also needs to respect the conditions set by the ulama, namely by avoiding ikhtilat (mixing with men) in work to avoid negative things that may happen.
DOUBLE BURDEN ON WOMEN FROM THE ISLAMIC LAW PERSPECTIVE (CASE STUDY IN HOME INDUSTRY OF “DUA PUTRA” CRACKERS SINGGAHAN TUBAN)
Authors: Fahri Herfin , Ulya Vita Fitriatul
Published: April 2023

The development of the times marked by the flow of globalization has also changed the human mindset. If in the past women were considered the second sex and only took part in the domestic sector, now there are many women who play a role equal to the position of men, for example with many women who are involved in the public sector, therefore the phenomenon of double burden or double burden. often afflicts women. This study aims to explore the double burden of female workers in the "Dua Putra" cracker home industry and viewed from the perspective of Islamic law. This research is a type of qualitative research with a phenomenological descriptive approach that examines the phenomenon of double burden in Lajolor Singgahan village, Tuban. The informants are 7 women working in the home industry of "Dua Putra " crackers. The results show that there are several reasons that motivate women to work in the informal sector such as the " duaputra " cracker home industry, including to improve the economy and family welfare, and to fill spare time for productive activities so that they can increase family income even though it is enough. Islam as a religion of rahmatanlil 'aalamiin punishes women to work with 3 laws, namely allowed, forbidden and obligatory. Each law applies to women depending on the accompanying conditions.
Multiple Disease Prediction Using ML
Authors:   Professor, Department of CSE, Galgotias University Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India, Katiyar Dr. Alok , Ali Sajid ,   Student, Department of CSE, Galgotias University Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India, Ray Sameer ,   Student, Department of CSE, Galgotias University Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India
Published: April 2023

Accurate and on-time analysis of any health-related drawback is vital for the interference and treatment of the sickness. The normal method of diagnosing might not be sufficient within the case of a significant illness. Developing a medical diagnosing system supported machine learning (ML) algorithms for prediction of any unwellness will facilitate during a lot of correct diagnosis than the standard methodology. We've designed a disease prediction system using ML. Disease Prediction System using Machine Learning could be a system that predicts the sickness supported data or symptoms that he/she enter into the system and gives correct results supported that data. This predictive disease using Machine Learning is completed entirely with the assistance of Learning Machines and Python programing language with its Flask Interface and mistreatment antecedently offered databases with hospitals that use that we'll predict the unwellness.
FARUL3S: a New Framework for Agile Regulated Ultra-Large-Scale Software Systems
Authors: KSIKSI Amira , Lazzez Onsa , Ltifi Hela , Hamdani Tarek M. , Alimi Adel M.
Published: April 2023

The Ultra-Large Scale Software (ULSS) system is a novel generation of software systems that requires to be managed and developed across multiple organizations. Such a system challenges the existing agile methods and scaled agile methods as they address only the intra-organizational cooperation. In fact, for inter-organizational coordinations, the ULSS systems have to be regulated as a city rather than being engineered as a building. This paper provides the first Framework for Agile Regulated Ultra-Large-Scale Software System (FARUL3S) that intends to regulate the ULSS systems by constraining the design spaces’ exploration. To this end, we introduced the System Design Rules Hierarchy (SDRH) as a hierarchy of dominance relations that covers the system, platform and application levels. The SDRH, which is the main artifact of our framework, ensures a distributed design spaces’ exploration and helps to provide the interoperability between the different component parts of the ULSS system. The NOV-based analysis of two case studies from the Smart City System prove that the ULSS system regulation improves the added value over its engineering. Thus, to conclude, regulating the ULSS systems makes the system more than the sum of its elements. 
Responses to external repeated perturbations vary with time intervals
Authors: Kim Dongwon , Hwang Jong-Moon
Published: April 2023

While perturbation training is known to be effective in reducing fall risk, it is unclear whether the interval of perturbations affects motor response. We investigate postural responses that could vary with the interval of perturbations, probably leading to different contributions of relevant learning substrates. A total of 12 male volunteers with no neurological deficits (age: 33.33±3.12 S.D.) experienced two sequences of perturbations. Two sequences of perturbations were designed and administered in turn: the first sequence consisted of 24-time repeated perturbations with an interval of 5 seconds, while the second sequence consisted of ones with an interval of 2.5 seconds. A perturbation of a smaller magnitude was inserted into each sequence as a catch trial. Perturbations were given by a force plate moving in the anterior-posterior direction. The magnitude of the excursions of the center of pressure (COP) and ankle angle in response to perturbations with a longer interval is greater in comparison to that with a shorter interval (P < 0.05). A difference in responses to the perturbation following the catch trial appears in COP (P < 0.05), not in ankle angle (P > 0.05). These results suggest that while contraction of agonist muscles and co-contraction of antagonistic muscle pairs across the ankle joint for stability operate independently of each other, the refinement of the neuromotor system for a newly trained response can be modulated with stimulus intervals. The dependency of postural responses on the interval could imply that the strength of the learning effect varies with stimulus intervals.
Artificial Intelligence and Biosensors in Healthcare and its Clinical Relevance: A Review
Authors: Qureshi Rizwan , Irfan Muhammad , Ali Hazrat , Khan Arshad , Ali Shawkat , shah zaigham , Gondal Taimoor Muzaffar , Sadak Ferhat , Shah Zubair , Hadi Muhammad Usman , Khan Sheheryar , Bermak Amine , shekhar aditya
Published: April 2023

Data generated from sources such as wearable sensors, medical imaging, personal health records, pathology records, and public health organizations have resulted in a  massive information increase in the medical sciences over the last decade. Advances in computational hardware, such as cloud computing, Graphical Processing Units (GPUs), and Tensor  Processing Units (TPUs), provide the means to utilize these data.  Consequently, many Artificial Intelligence (AI)-based methods have been developed to infer from large healthcare data. Here,  we present an overview of recent progress in artificial intelligence  and biosensors in medical and life sciences. We discuss the role  of machine learning in medical imaging, precision medicine,  and biosensors for the Internet of Things (IoT). We review the  most recent advancements in wearable biosensing technologies  that use AI to assist in monitoring bodily electro-physiological  and electro-chemical signals and disease diagnosis, demonstrating  the trend towards personalized medicine with highly effective, inexpensive, and precise point-of-care treatment. Furthermore,  an overview of the advances in computing technologies, such as  accelerated artificial intelligence, edge computing, and federated  learning for medical data, are also documented. Finally, we investigate challenges in data-driven AI approaches, the potential  issues that biosensors and IoT-based healthcare generate, and the distribution shifts that occur among different data modalities,  concluding with an overview of future prospects 
GPT-4 vs. GPT-3.5: A Concise Showdown
Authors: Koubaa Anis
Published: April 2023

As the echoes of ChatGPT's remarkable success continue to permeate the AI community, its formidable successor, GPT-4, has emerged, showing off a wealth of novel features. In this concise paper, we elucidate the capabilities of GPT-4 and conduct a comparative analysis with its predecessor, ChatGPT, offering insights into their relative strengths and advancements in the rapidly evolving field of generative AI. We also present a comprehensive summary of the major performance results reported by OpenAI on GPT-4 across various Natural Language Processing (NLP) tasks. We place great emphasis on the innovative advancements offered by GPT-4 in comparison to its predecessors. Our focus is on highlighting its remarkable performance while also mentioning its limitations. The purpose of this paper is to deliver a succinct understanding of the new features and performance benchmarks of GPT-4.
STBC-Enabled Secure Wireless Transmission with Cooperative Devices under Imperfect CSI of Destination
Authors: Shen Tianji , Hama Yuto , Ochiai Hideki
Published: April 2023

In this work, we investigate a practical secure multiple-input single-output (MISO) wireless transmission of information from a source to a destination assisted by cooperative devices. In the first phase, space-time block code (STBC) is employed, and thus the source does not require any channel state information (CSI). In the second phase, the cooperative devices are divided into two groups, depending on whether they serve as relaying or jamming. Based on the imperfect CSI toward the destination, the devices allocated to the relay group assist the source in forwarding information, whereas those within the jamming group send artificial noise (AN) so as to prevent the eavesdropper from receiving information. Furthermore, the system utilizes two grouping strategies, referred to as random and adaptive, where in the former case the role (relaying or jamming) of each device is predetermined randomly, whereas in the latter case it is determined autonomously depending on their decoding results. We analyze the outage probability of our proposed system with and without power allocation optimization under the assumption of imperfect CSI at the cooperative devices, and their accuracy is verified by Monte-Carlo simulations.
Coupling Machine Learning Models with Innovative Technology-based Screening Tool for Identifying Psychological Distress among Aboriginal Perinatal Mothers
Authors: Wang Guanjin
Published: April 2023

Aboriginal perinatal mothers are at significant risk of mental health problems which may cause profound negative impacts although they are overall resilient. The present study aimed to couple machine learning models with an innovative and culturally-safe screening tool to build prediction models for identifying high psychological distress among Aboriginal perinatal mothers. Using a specifically designed web-based rubric for the perinatal mental health assessment, the original dataset of 179 Aboriginal mothers with 337 variables was obtained from twelve perinatal health settings at Perth metropolitan and regional centers in Western Australia between July and September 2022. After data preprocessing and feature selection, 23 variables about emotional manifestations, the problematic partner, worries about daily living, and the need for follow-up wraparound support were identified as significant predictors for the high risk of psychological distress measured by the Kessler 5 plus adaptation. The selected predictors were further used to train prediction models. Results showed that most of the chosen machine learning models achieved satisfactory results, where Random Forest and Support Vector Machine yielded the highest AUC of above 0.95, accuracy over 0.86, and F1 score above 0.87. This study demonstrates the potential of using machine learning-based models in the clinical decision-making to facilitate the Aboriginal families’ healthcare and social and emotional well-being.
Hands-Free Physical Human-Robot Interaction and Testing for Navigating a Virtual Ballbot
Authors: Song Seung Yun , Marin Nadja , Xiao Chenzhang , Okubo Ryu , Ramos Joao , T. Hsiao-Wecksler Elizabeth
Published: April 2023

This is a submitted (IEEE RO-MAN 2023) draft of a paper on the testing of a hands-free human-robot interaction for navigating a ballbot in a virtual environment. In this study, able-bodied users and manual wheelchair users controlled a virtual ballbot using a hands-free (HF) lean-to-steer control concept that uses torso motions. A custom sensor system (i.e., Torso-dynamics Estimation System (TES)) was utilized to measure and convert the dynamics of the rider’s torso motions into commands to provide HF control of the robot. A simulation study was conducted to explore the efficacy of the HF controller compared to a traditional joystick (JS) controller, and whether there were differences in performance by manual wheelchair users (mWCUs), who may have reduced torso function, compared to able-bodied users (ABUs). Twenty test subjects (10 mWCUs + 10 ABUs) used the subject-specific adjusted TES while wearing a virtual reality headset and were asked to navigate a virtual human rider on the ballbot through obstacle courses replicating seven indoor environment zones. 
Achieving Sustained Improvement in Identification Accuracy with a Semi-Supervised Learning Approach for NILM Systems
Authors: Zhang Zhenyu , Li Yong , Guo Yixiu , Tao Ziming , Li Chang , Shahidehpour Mohammad
Published: April 2023

Non-Intrusive Load Monitoring (NILM) systems are widely used for energy management, but their accuracy can be limited by the removal of monitoring equipment after the initial training phase. This removal results in a lack of ongoing training data and impairs the ability to improve recognition accuracy. To address this challenge, this research proposes a novel semi-supervised learning approach for NILM systems. The approach is based on a previously proposed temporal convolutional network-conditional random field (TCN-CRF) model. It uses optimal interval filtering and unanimous voting to control the quality of pseudo-labels. The approach identifies high-precision segments in the sequence-to-sequence algorithm as semi-supervised learning targets and generates pseudo-labels, allowing for continuous self-supervised learning and sustained improvement in recognition accuracy. The results show that the proposed method can effectively combine unlabeled data to improve model accuracy, and achieve up to 14% highest improvement in algorithm accuracy over fully self-supervised methods in small sample training.
Adopting Artificial Intelligence Algorithms for Remote Fetal Heart Rate Monitoring and Classification using Wearable Fetal Phonocardiography
Authors: ABBURI RADHA , Hatai Indranil , Jaros Rene , Martinek Radek , Babu T. Arun , Babu Sharmila Arun , Samanta Sibendu
Published: April 2023

This work utilizes a wearable phonocardiogram belt for acquiring signals from remote areas. Four sequential methodologies are undergone in the proposed work for resilience, and effectiveness. Intelligent, and accurate FHR monitoring. At first, the noise and artifacts are removed by performing two levels pre-processing methodology method. The low frequency noises are removed by Chebyshev II High Pass Filter and high frequency noises are removed by a hybrid of EC2EMDAN- PS-MODWT filters respectively. In the next step, the denoised signals are segmented for reducing the complexity in which the segmentation is performed using Multi Agent Deep Q-Learning (MA-DQL) algorithm based on several constraints. Further, the segmented signal is provided for reducing the redundancies in cardiac cycles using Artificial Humming Bird Optimization (AHBO) algorithm. The segmented and non-redundant signals are converted into 3D spectrograms using a machine learning algorithm named Variational Auto Encoder-General Adversarial Networks (VAE-GAN) for analyzing the signals with better visual interpretation in 3D space. Finally, utilizing the 3D spectrogram analysis the feature extraction and classification is taken place by adopting a hybrid of Bidirectional Gated Recurrent Unit (BiGRU) and Multi Boosted Capsule Network (MBCapsNet) into three classes such as normal (110-160 BPM), abnormal (above 180 BPM), and Suspicious (fluctuates between normal and abnormal). The proposed work is implemented and simulated in the MATLAB R2020a tool and the performance is validated by adopting effective validation metrics. The outcomes demonstrate that the suggested work performs better than the current works. 
Adopting Artificial Intelligence Algorithms for Remote Fetal Heart Rate Monitoring and Classification using Wearable Fetal Phonocardiography
Authors: ABBURI RADHA , Hatai Indranil , Samanta Sibendu
Published: April 2023

This work utilizes a wearable phonocardiogram belt for acquiring signals from remote areas. Four sequential methodologies are undergone in the proposed work for resilience, and effectiveness. Intelligent, and accurate FHR monitoring. At first, the noise and artifacts are removed by performing two levels pre-processing methodology method. The low frequency noises are removed by Chebyshev II High Pass Filter and high frequency noises are removed by a hybrid of EC2EMDAN- PS-MODWT filters respectively. In the next step, the denoised signals are segmented for reducing the complexity in which the segmentation is performed using Multi Agent Deep Q-Learning (MA-DQL) algorithm based on several constraints. Further, the segmented signal is provided for reducing the redundancies in cardiac cycles using Artificial Humming Bird Optimization (AHBO) algorithm. The segmented and non-redundant signals are converted into 3D spectrograms using a machine learning algorithm named Variational Auto Encoder-General Adversarial Networks (VAE-GAN) for analyzing the signals with better visual interpretation in 3D space. Finally, utilizing the 3D spectrogram analysis the feature extraction and classification is taken place by adopting a hybrid of Bidirectional Gated Recurrent Unit (BiGRU) and Multi Boosted Capsule Network (MBCapsNet) into three classes such as normal (110-160 BPM), abnormal (above 180 BPM), and Suspicious (fluctuates between normal and abnormal). The proposed work is implemented and simulated in the MATLAB R2020a tool and the performance is validated by adopting effective validation metrics. The outcomes demonstrate that the suggested work performs better than the current works. 
РОЗВИТОК ІННОВАЦІЙНОЇ СКЛАДОВОЇ ПЕРЕРОБКИ КОНОПЕЛЬ В ЛЕГКІЙ ПРОМИСЛОВОСТІ
Authors: Березовський Ю. В. , Бойко Г. А. , Краглік В. С.
Published: April 2023

Стаття містить теоретичні та експериментальні дослідження в сфері переробки конопель. Для виробництва вітчизняної продукції легкої промисловості використовують як сировину з України хімічні волокна, льон, коноплі, шкіру, хутро, вовну, із закордону бавовну, текстиль, льон, коноплі, вовну. Найбільше товарів Україна експортує до Німеччини, Франції, Польщі. Співпраця із закордонними замовниками сприяє не тільки збереженню підприємств легкої промисловості та закріпленню їх на ринку, але й долученню до провідних світових технологій, а також проведенню модернізації обладнання. На даний час більшість підприємств легкої галузі за рівнем оснащеності не відповідають високим європейським стандартам. Метою роботи є вирішення питань підвищення ефективності обробки стеблового матеріалу конопель та пошук шляхів покращення стану вітчизняного переробного сектору легкої промисловості. Розвиток українського переробного сектора легкої промисловості стримують нерівні умови конкуренції на внутрішньому ринку, технічна й технологічна відсталість виробничих потужностей, нестабільність податкового законодавства, застарілий механізм контролю безпеки продукції, а також висока залежність від імпортної сировини, матеріалів і комплектуючих, низька цінова конкурентоспроможність продукції. У статті розглянуто фактори погіршення кількості та якості натурального волокна, що пов’язані з ускладненням стану переробної галузі легкої промисловості, технічними і технологічними особливостями обробки стебел конопель. У статті на основі наукових досліджень проаналізовано механічні способи переробки стебел конопель, які базуються на використанні основних механічних впливів на оброблюваний матеріал за малоруйнівною дією проминання сировини та максимальної ефективності проходження тіпання. Для підвищення ефективності процесів обробки лубоволокнистого матеріалу розроблено інноваційний спосіб переробки луб’яної сировини. Розроблений спосіб отримання однотипного волокна з луб’яних культур надає можливість переробляти стебла конопель та дозволяє розширити асортимент продукції різного функціонального призначення.
ІННОВАЦІЙНІ ПІДХОДИ ДО СКЛАДАННЯ РЕЦЕПТУР МАЙОНЕЗНИХ СОУСІВ З ВИКОРИСТАННЯМ НЕТРАДИЦІЙНОЇ СИРОВИНИ
Authors: Голуб Л. С. , Власенко К. М.
Published: April 2023

Для оптимальної роботи всіх органів та систем в людському організмі харчування має бути повноцінним та збалансованим, це досягається вдосконалення рецептур та технологій виробництва існуючих харчових продуктів з метою збереження поживних властивостей компонентів продукту або надання продукції нових властивостей. Особливе значення для здоров’я людини мають білки рослинного походження. Дефіцит білків в організмі людини призводить до розпаду власних білків. Білкові продукти мають високу біологічну цінність та емульгуючу здатність, їх застосування у складі харчових продуктів дозволяє отримати стійкі емульсії. У роботі розроблено технологію вилучення білкового ізоляту з відходів сировини рослинного походження. Для проведення дослідження використовували шрот голонасінного гарбуза з високим вмістом сирого протеїну, отриманий після вилучення олії з насіння методом холодного пресування. Одержаний ізолят білку використовували в рецептурі майонезу в якості заміни яєчного порошку в кількості 8,5% і 10%. За обома рецептурами одержали майонези зі стійкою емульсією. Для подальшого дослідження було обрано майонез з меншим вмістом емульгатору. Розроблений майонез має гарні органолептичні і фізико-хімічні показники і є перспективним продуктом для ринку харчових продуктів в Україні. При аналізі росту мікроорганізмів на поверхні середовища Сабуро були виявлені колонії дріжджів. Наявність пліснявих грибів або їх спор, а також колоній, типових для коліформних бактерій, у досліджених зразках майонезу виявлено не було. За результатами визначення зміни кислотного числа і стійкості емульсії під час зберігання встановлено рекомендований строк зберігання майонезу 35 діб при температурі 1÷6℃. Розробка промислової технології виробництва білкового ізоляту з гарбузового шроту є перспективним напрямком, який дозволить провести повну заміну в рецептурі майонезу емульгатору тваринного походження на емульгатор рослинного походження.
РОЗРОБКА РЕЦЕПТУРИ, ТЕХНОЛОГІЇ ТА ДОСЛІДЖЕННЯ СПОЖИВЧИХ ВЛАСТИВОСТЕЙ НАПІВКОПЧЕНОЇ КОВБАСИ З М’ЯСНОЇ СИРОВИНИ З PSE-ВЛАСТИВОСТЯМИ З ВИКОРИСТАННЯМ КОМБІНОВАНОЇ ФОСФАТВМІСНОЇ ХАРЧОВОЇ ДОБАВКИ
Authors: Приліпко Т. М. , Семенов О. М. , Підлісний В. В.
Published: April 2023

Наведені реультати дослідження з розробки нової комплексної харчової добавки для напівкопчених ковбас із мясної сировини з PSE властивостями. Науково обґрунтовано рецептуру та технологію КФХД для забезпечення якості напівкопчених ковбас із м’ясної сировини з PSE – властивостями; встановлені режими зберігання, терміни придатності та регламентовані показники якості КФХД У рецептуру комплексної харчової добавки включені спеції та прянощі. Рецептура КФХД спрямована на покращення технологічних характеристик м’ясних систем: підвищення рН та водозв’язувальної здатності, набухання м’язових білків, стабільність фарбування. Технологія виробництва КФХД складається з наступних основних стадій: приймання сировини, допоміжних та таро-пакувальних матеріалів; підготовка сировини та допоміжних матеріалів; дозування та змішування рецептурних компонентів; фасування, упаковка, маркування, транспортування та зберігання готової продукції. Використання екстракту натуральних спецій у рецептурі харчової добавки позитивно впливає на смак та аромат готової продукції. Встановлено, що органолептичні показники КФХД протягом 18 місяців не змінювалися. Після 24 місяців відзначається зміна зовнішнього вигляду – утворення грудок, що важко розсипаються. При дослідженні м’яса з PSE властивостями встановлені низька водозв’язуюча здатність і рН, у зв’язку з чим до складу КФХД введені стабілізатори (харчові фосфати), які сприяють поліпшенню цих показників. Підвищення водозв’язуючої здатності є результатом впливу фосфатів на стан міофібрилярних білків м’яса, який полягає в наступному: фосфати забезпечують дисоціацію нерозчинного актоміозинового комплексу на розчинні актин та міозин, в результаті збільшується кількість гідрофільних центрів та ступінь набухання білків, що призводить до збільшення водозв’язуючої здатності. Зразки напівкопчених ковбас за фізико-хімічними показниками у процесі зберігання відповідають вимогам ДСТУ. Дослідження напівкопчених ковбас за показниками безпеки показало їхню відповідність вимогам нормативної документації. Встановлено терміни та режими зберігання напівкопчених ковбас – 30 діб при температурі не вище 6 °С та відносній вологості 75–78%.
DEVELOPMENT OF A METHOD FOR MONITORING THE TECHNICAL CONDITION OF SUPPORT UNITS OF MINING EQUIPMENT
Authors:   Doctoral student , Navoi branch of the Academy of Sciences of the Republic of Uzbekistan, Egamberdiyev Ilhom , Mirzayev Abdurazzoq ,   Chairman  , Navoi branch of the Academy of Sciences of the Republic of Uzbekistan, Zoirov Sherzod ,   Deputy Dean of the Faculty of Mining, Navoi State Mining Institute,  Navoi State Mining Institute, Yakhshiyev Sherali ,   Lecturer, Department of Engineering Technology ,  Navoi State Mining Institute
Published: April 2023

The article is presented the relationship of the technical condition of the elements of bearing supports of mining equipment and spectral features based on the analysis of the high-frequency component of the vibrosignal, allowing to determine the type of defects and predict their development. The results of experimental studies of the vibration of the support nodes of mining equipment are presented. Studies have shown a striking gap between complexity and the high cost of operating equipment and the low technological level of its service. Such a gap is one of the main reasons for unscheduled equipment shutdowns, long downtime associated with the detection and elimination of the causes of failures, high repair costs, and emergency situations. Vibration monitoring technology is presented, which uses regular measurements of vibration parameters, their frequency analysis, and mathematical modeling of degradation processes in machines using software packages. For vibration monitoring of mining equipment, provides for control and diagnostic vibration measurements. Control measurements are designed to assess the technical condition of mining equipment as a whole, as well as its individual components. Diagnostic measurements are designed to identify defects, develop recommendations for their elimination and determine the timing of the output of equipment for repair according to the actual technical condition.
Hubungan antara Kejadian Bayi Berat Lahir Rendah dengan Konsumsi Protein Hewani di RSU Karsa Husada
Authors: Triwidiasti Ririn , Hardian Feriana Ira , Mumpuni Risna Yekti
Published: April 2023

Pregnant women really need good nutrition, especially consumption of animal protein for fetal growth so as not to experience obstacles and give birth to babies with normal birth weight. perinatology of Karsa Husada General Hospital. The sample in this study was taken using puposive sampling as many as 40 repondentsres. Correlation test using Pearson's product moment. This study showed that most (67.5%) mothers consumed animal protein in the low category during pregnancy and (52.5%) the babies were born with a baby weight of <2500 g. The results of the analysis using the Spearman rank test showed that the value of p = 0.01 or p < 0.05 and the value of r = -.623 showed a strong correlation and had a negative direction, meaning that the higher consumption of animal protein in the mother, the incidence of LBW will be lower. From the results of the study, it can be recommended for pregnant women to consume good nutrition, especially consumption of animal protein during pregnancy for fetal growth and give birth to babies with normal birth weight
On Generalizations of Hölder's and Minkowski's Inequalities
Authors: KIRMACI Uğur Selamet
Published: April 2023

We present the generalizations of Hölder's inequality and Minkowski's inequality along with the generalizations of Aczel's, Popoviciu's, Lyapunov's and Bellman's inequalities. Some applications for the metric spaces, normed spaces, Banach spaces, sequence spaces and integral inequalities are further specified. It is shown that $({\mathbb{R}}^n,d)$ and $\left(l_p,d_{m,p}\right)$ are complete metric spaces and $({\mathbb{R}}^n,{\left\|x\right\|}_m)$ and $\left(l_p,{\left\|x\right\|}_{m,p}\right)$ are $\frac{1}{m}-$Banach spaces. Also, it is deduced that $\left(b^{r,s}_{p,1},{\left\|x\right\|}_{r,s,m}\right)$ is a $\frac{1}{m}-$normed space.
The $h$-Polynomial and the Rook Polynomial of some Polyominoes
Authors: Kummini Manoj , Veer Dharm
Published: April 2023

Let $X$ be a convex polyomino such that its vertex set is a sublattice of $\mathbb{N}^2$. Let $\Bbbk[X]$ be the toric ring (over a field $\Bbbk$) associated to $X$ in the sense of Qureshi, J. Algebra, 2012. Write the Hilbert series of $\Bbbk[X]$ as $(1 + h_1 t + h_2 t^2 + \cdots )/(1-t)^{\dim(\Bbbk[X])}$. For $k \in \mathbb{N}$, let $r_k$ be the number of configurations in $X$ with $k$ pairwise non-attacking rooks. We show that $h_2 < r_2$ if $X$ is not a thin polyomino. This partially confirms a conjectured characterization of thin polyominoes by Rinaldo and Romeo, J. Algebraic Combin., 2021.
NEOLITHIC CERAMICS WITH NAIL-SHAPED NOTCHES FROM THE FOREST-STEPPE VOLGA REGION
Authors:   Samara State University of Social Sciences and Education, Somov A.V.
Published: April 2023

The article presents the results of the analysis of Neolithic pottery from the forest-steppe Volga region, ornamented with nail-shaped notches. This group of ceramics is less representative in comparison with other (ringed and combed) ceramic complexes of the Middle and Late Neolithic of this region. At the same time, dishes with notches should be considered as an independent typological group. The source base of the study consists of 189 conditionally identified vessels, which were analyzed by the author at first-hand. When presenting the morphological characteristics of ware from the studied sites, the author singled out four microregions (the basins of the Samara and Sok rivers, Ulyanovsk and Kazan Volga regions) in order to identify local features. In the southern part of the forest-steppe zone, this ornamental tradition has been recorded in isolated cases and has the most archaic appearance. In the materials from the Sok basin, the studied group of ceramics is becoming more widespread. The complexes of the Ulyanovsk Volga region and the Lower Kama, undoubtedly, have analogies with the materials from the sites of the basin of the river Sok. At the same time, regional features of these complexes can be distinguished. The author discusses the origins of the ware with nail-shaped notches and the development of these complexes in the forest-steppe Volga region. According to the results of radiocarbon analysis, the time of existence of the studied complex can be attributed to a very wide chronological range from the beginning to the end of the VI millennium BC.
RESIDENTS OF THE VOLGA REGION IN THE STRUGGLE FOR THE FREEDOM OF BULGARIA DURING THE RUSSIAN-TURKISH WAR OF 1877-1878. PART 1.
Authors:   Samara Federal Research Scientific Center of Russian Academy of Sciences, Anshakov Yu.P.
Published: April 2023

The article is devoted to the participation of the residents of the Volga region in the hostilities on the territory of Bulgaria during the Russian-Turkish war of 1877-1878. The regiments that arrived in Bulgaria from the provinces of the Volga region took part in the most important battles of the war, such as the battle of Lovcha, the assault on Plevna, and the crossing of the Troyan Pass to the Trans-Balkan region in December 1877. The author examines such an important event of the war as the battle of Stara Zagora (Eskizağra) in July 1877, when Russian soldiers and Bulgarian militia fought under the Samara flag. He also discusses some subjects related to the reaction of the population of the Volga region to certain events of the Russian-Turkish war.
FEATURES OF ZONING THE COUNTIES OF THE SOUTHERN MIDDLE VOLGA IN THE MID XVII - BEGINNING OF THE XVIII CENTURIES
Authors:   Samara National Research University named after academician S.P. Korolev, Dubman E.L.
Published: April 2023

The author discusses the peculiarities of zoning of counties of the Southern Middle Volga region in the middle of the 17th – early 18th centuries. The source base for studying the topic is represented by documents from the central archives and published materials. On the example of one of the largest border counties, Simbirsk, the author reveals the specifics of the formation of an internal militarized administrative-territorial system of zoning and management.