bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Associated with Poor Quality of Sleep on Medical Students at Faculty of Medicine Udayana University
Authors: . Felisia , Mahadewi Ni Putu Ayu Putri , Adnyana I Made Oka
Published: January 2024

Background: Medical students are among the populations most vulnerable to poor sleep quality. This was a result due to the demanding schedule and extensive course material required of a prospective physician. Sleep problems may contribute to malpractice, burnout, and a decline in professionalism at work. For that reason, monitoring sleep quality becomes an important matter to optimize the use of future health services.
Purpose: To identify factors contributing to poor sleep quality in medical students of the Faculty of Medicine at Udayana University.
Methods: This study was a descriptive study with a cross-sectional approach in which data were gathered by distributing a questionnaire to medical students at the Faculty of Medicine Udayana University. SPSS was used to analyze data using both univariate and bivariate analysis.
Results: This study was participated by 369 medical students at the Faculty of Medicine Udayana University in from academic year 2020, 2021, and 2022. The prevalence of poor sleep quality obtained from the statistics was 285 students 77,2%. This study looks into nine variables that are thought to be associated with sleep quality. Data analysis results indicated three factors were strongly linked with poor sleep quality which was sleep hygiene (p=0.000), academic stress (p=0.000), and caffeine consumption (p=0.014).
Conclusion: Poor quality of sleep in medical students at the Faculty of Medicine Udayana University was found having important significancy (p<0.05) with poor sleep hygiene, high levels of academic stress, and routine caffeine consumption.

Keywords: sleep quality, medical student, sleep quality factors
The Influence of Leverage, Firm Size, Institutional Ownership, and Company Growth on Sustainability Report with the Board of Directors as a Moderating Variable in Mining Companies Listed on the Indonesia Stock Exchange 2014-2021
Authors: Adawiyah Rabiatun , Erwin Keulana , Gultom Parapat
Published: January 2024

Since the development of issues regarding CSR, company activities have been not only based on economic aspects but also social and environmental aspects. These three aspects can be realized by disclosing social and environmental responsibility through a sustainability report presented separately from the annual report. This research examines the influence of leverage, Firm size, institutional ownership, and company growth on sustainability reports with the board of directors as a moderating variable in mining companies listed on the Indonesia Stock Exchange in 2014-2021. The population used in this research was 52 mining companies listed on the Indonesia Stock Exchange. The sampling method is to use purposive sampling. Based on the criteria created, there are 10 sample companies, so 80 research observations were obtained. Data processing is carried out using the EViews statistical testing tool. The results of this research show that (1) leverage has a positive and significant effect on the sustainability report, (2) Firm size has a positive and insignificant effect on the sustainability report, (3) institutional ownership has a positive and significant effect on the sustainability report, (4) company growth has a negative and insignificant effect on the sustainability report, (5) the board of directors is unable to strengthen the influence of leverage and Firm size on the sustainability report, (6) the board of directors can strengthen the influence of institutional ownership and company growth on the sustainability report.

Keywords: leverage, firm size, institutional ownership, company growth, board of directors, sustainability report.
PELATIHAN DAN PENDAMPINGAN PENYUSUNAN PERENCANAAN USAHA PADA USAHA TERPADU KALIBOTO GREEN INSTITUTE (KGI) KECAMATAN MOJOGEDANG, KABUPATEN KARANGANYAR
Authors: Rohwiyati  , Kim Budiwinarto  , Juni Trisnowati  , Praptiestrini  , Sulistyo  , Yanti Sri Danarwati  , Giarti Slamet  , Dewi Pujiani  , Handayani
Published: January 2024

Abstract

Kaliboto Green Institute (KGI) is a business activity: economy, environment and education have the potential as one of the nodes and multiplyer effects for economic activities around Mojogedang District. In this regard, the PKM Team of the Faculty of Economics, University of Surakarta was present at community service activities, by making training and assistance in preparing business plans, especially for the category of novice entrepreneurs. Prior to the training, a survey was conducted to. Training on business plan preparation is carried out through lectures, discussions and practices guided by the service team. The participants of this training were 9 (nine) managers from the technical and management implementation levels. After the training, KGI managers are expected to produce a business design with an integrated business model This service is considered important strategic efforts in developing KGI's role in increasing business potential as a learning center, especially answering Indicators.

Keywords : Business Plan, KGI, IKU
BIMBINGAN KONSELING INDIVIDUAL UNTUK MEMBANGUN KOMUNIKASI INTERPERSONAL POSITIF MELALUI TIM PSIKOLOG UNIVERSITAS AHMAD DAHLAN YOGYAKARTA
Authors: Anna Febrianty Setianingtyas  , Ummu Hany Almasitoh  , Titik Purwanti
Published: January 2024

Abstract

Interpersonal communication can be called interpersonal communication. Interpersonal effectiveness is determined by how the message is conveyed. Positive attitude refers to at least two aspects of interpersonal communication. First, interpersonal communication is fostered if people have a positive attitude towards themselves. Second, positive feelings for the communication situation are essential for effective interaction. Communication quality is establishing and maintaining good interpersonal relationships through communication. Communication is effective when the sender receives and understands the message as intended, followed up with voluntary action by the recipient. It can improve the quality of interpersonal relationships, and there are no obstacles to it. This service is carried out to help several UAD's fair participants (counselees) get an overview of how the communication process effectively achieves its goals. This activity is carried out through individual counseling guidance methods with a team of psychologists at Ahmad Dahlan University Yogyakarta, with an evaluation of filling out a checklist sheet after counseling.

 Keywords : individual counseling, positive interpersonal communication
BIOSENSORS - BRIDGING THE GAP BETWEEN BIOLOGY AND TECHNOLOGY
Authors: ji Sheeba , Gouri Mohd Hyder , Kumar Mr. Anuj
Published: January 2024

As cutting-edge analytical instruments that unite the biological and technology worlds, biosensors have arisen. These little devices use biological components like enzymes. As cutting-edge analytical instruments that unite the biological and technology worlds, biosensors have arisen. These small gadgets use biological components like enzymes, antibodies, or nucleic acids along with highly developed transduction mechanisms to detect and quantify particular biomolecules with astounding accuracy and effectiveness. In this abstract, the components and operating principles of biosensors are highlighted in a succinct summary. It looks at how they can be used in a variety of contexts, including food safety, environmental monitoring, and medical diagnostics. Additionally, it discusses current advancements and the potential future prospects of biosensors, highlighting their function in customized medicine, real-time monitoring, and the development of biotechnology. Biosensors are positioned to play an increasingly important role in a wide range of applications as technology develops, enhancing our capacity to acquire fast and accurate biological information. Using nucleic acids, antibodies, and complex transduction mechanisms, it is possible to detect and quantify particular biomolecules with a remarkable level of accuracy and efficiency. In this abstract, the components and operating principles of biosensors are highlighted in a succinct summary. It looks at how they can be used in a variety of contexts, including food safety, environmental monitoring, and medical diagnostics. Additionally, it discusses recent advancements and the potential future prospects of biosensors, highlighting their function in real-time monitoring, personalized medicine, and the development of biotechnology. Biosensors are positioned to play an increasingly important role in a wide range of applications as technology continues to improve, so that it becomes easier for us to access current and correct biological knowledge.
HEATING, VENTILATION AND AIR CONDITIONING
Authors: DINESH Dr. SAPNA
Published: January 2024

HVAC is Heating, Ventilation, and Air Conditioning. HVAC systems control the indoor environment (temperature, humidity, airflow, and air filtering) to condition the air to a preferred temperature and relative humidity. The term HVAC means the entire air system of our living space which determines the indoor air quality. The term HVAC is often used interchangeably with AC, but they are quite different. AC stands for air conditioning, which is the process of cooling and dehumidifying the air in a room or building. An HVAC system, on the other hand, stands for heating, ventilation, and air conditioning. It combines the AC with other systems to provide a more comprehensive climate control solution. HVAC provides comfort for people, maintains an effective environment for surroundings, and allows humans to exist under adverse conditions, and HVAC systems are very much required for critical areas like control rooms, electronic equipment rooms, battery rooms, workshop areas, etc.
ERGONOMICS IN INTERIORS
Authors: GUPTA Dr. NIDHI
Published: January 2024

To make a space functional, appealing, and satisfactory an interior designer needs to have an “Ergonomic approach” in his/her work. You must be getting confused about whether it is economics or ergonomics. but yes you have read it right initially it is “ERGONOMICS”.
ANTHROPOMETRY IN INTERIOR DESIGN
Authors: BHATTACHARYYA Dr. NANDITA , SAIKIA Ms. HRIDISHRUTI
Published: January 2024

Experiences of design are in every walk of life, it is everywhere- we breathe it in every breadth. Design is a concept of an object/a process, or a system. It is an aid to human lifestyles. The verb to design indicates the process of developing an object/a process, or a system. Designing is a continuous problem-solving process to achieve quality aids to human life. In some cases, the direct construction of an object without an explicit prior plan may also be considered to be a design i.e., artwork and craftwork.
Directive model of corporation management with the participation of the state in the sphere of the military-industry complex
Authors: Laptev V. A.
Published: January 2024

The subject. The variety of existing models of management of commercial corporations at the current stage requires the­ir assessment, including in relation to certain areas of economic activity. This article examines the legal aspects of the principles of construction and content of a directive model of organization management using the example of corporations with state participation in the field of the military-industrial complex. The procedure for directive voting in the bodies of the corporation is analyzed.

The purpose is to identify the determination and the essence of directive model of corporate management in the field of the military-industrial complex.

Methodology of the research includes legal analysis of the Russian corporative legislation, directives of the Russian Government and judicial practice.

The main results. The basics of regulatory regulation in this area of corporate relations are disclosed. Local regulations ensuring the formation of a directive model of corporate management are investigated. The review of competence of bodies of corporation with participation of public legal entities is given. Options are proposed for a legal assessment of the liability of persons who are members of the bodies of the corporations in question.

General rule is proposed: in the case of voting in the bodies of a corporate organization, a representative of the state is released from responsibility if he acted on the basis of the issued directive (recommendation).

Conclusions. The regularities of the development of corporate legislation on the issues under consideration and the influence of various factors on them are revealed.
Illness as a valid reason for restoring the term of inheritance acceptance
Authors: Khodyreva E. A. , Khodyrev P. M.
Published: January 2024

The subject. Compliance with the term for the implementation of the inheritance rights for persons wishing to become successors of a deceased citizen is an important condition for acquiring rights to hereditary property. Nevertheless, frequently, owing to various reasons, citizens from among the heirs cannot comply with the procedure established by law, which, in most cases, engenders the need referring to the court with a inquire about extension of the deadline to recognize the right to inherited property. The court will be able to satisfy the stated requirements if there is a valid reason, which prevented the heir from exercising his right.

The purpose of the article.The authorsdare to determine whether a disease, including a new coronavirus infection COVID-19, can be considered as a respectful reason for a recovery period for acceptance of the inheritance. The established objective has determined the need to solve the following tasks: (1) to analyze the legal reasoning of the disputed issue in the doctrine; (2) to study jurisprudence on the subject of the study; (3) to assess how fully the rules of Article 1155 of the Civil Code of the Russian Federation are applicable in relation to the citizens from whom it is potentially impossible to get out of a diseased state; (4) to offer our own perspective on the issue.

Research methods are systematic approach and formal legal analysis of doctrinal sources and the existing Russian legislation and law application practice.

The main results of a study. It is shown that not every painful condition can be regarded as a valid reason for restoring the term of inheritance acceptance under Article 1155 of the Civil Code of the Russian Federation. The existing science means do not allow us to formulate a final conclusion on the issue under study. Therefore, taking into account the evaluative nature of the rule applied, only the law enforcement body is able to make a decision, fully analyzing the relevant circumstances.

Conclusions.When considering cases on the restoration of the term of acceptance of inheritance due to illness, the courts need to take into account a combination of factors: the nature of the disease, its duration, treatment conditions, prognosis of the disease, the degree of social adaptation of the heir. The rules of Article 1155 of the Civil Code of the Russian Federation regarding the establishment of a six-month period for applying to the court need to be revised. Their use is unjustified, and compliance is impossible in the event that a person's exit from a painful state is not expected, while due to the course of the disease, the heir is unable to declare his rights.
Taxation of digital financial assets in the context of classical rules of taxation
Authors: Ponomareva K. A. , Simonov A. O.
Published: January 2024

Subject. The existing mechanisms of taxation of transactions with crypto assets on the territory of the Russian Federation are analyzed in the article. The choice of the research object is due to the increasing role of crypto assets in the modern Russian economy, as well as the necessity to propose new mechanisms to ensure the tax security of the state in the face of new challenges.

The purpose of the study. The existing mechanisms of taxation of transactions related to the use and turnover of crypto assets in Russia are considered. Authors analyze both the main problems faced by individuals and legal entities operating with cryptocurrencies. The analysis of the current legislation is provided, possible ways to improve the legislation are suggested.

Methodology. In the course of their work, the researchers were guided by philological and systematic ways of interpreting current legal norms, as well as existing explanations of financial authorities related to current approaches to taxation of transactions with crypto assets.

Conclusions. It is concluded that the approaches proposed by the legislator to taxation of transactions with crypto assets are similar to the mechanisms that apply to traditional financial instruments, but at the same time, assets that are not similar to traditional ones remain outside the regulation.
Driving Innovation and Continued Service Improvement: Tusla Research Strategy 2024 - 2029
Authors:   Tusla: Child and Family Agency
Published: January 2024

This new strategy for Tusla's National Research Office for the next six years describes the Vision and Mission of the Office, as well as guiding principles, which underpin research and information throughout the entire organization. The strategy contains a number of high level goals as well as an implementation plan for the realization of each of these.
The incidence and management of slipped capital femoral epiphysis: a population-based study
Authors: RIPATTI L , KAUKO T , KYTÖ V , RAUTAVA P , SIPILÄ J , LASTIKKA M , HELENIUS I
Published: January 2024

We aimed to investigate the national trends in the incidence and management of slipped capital femoral epiphysis (SCFE) and to report the need for reoperations.

We included all <19-year-old patients hospitalised for SCFE in 2004-2014 in mainland Finland (n=159). Data from the Finnish Care Register for Health Care, Statistics Finland, and Turku University Hospital patient charts were analyse for the incidence of SCFE in 2004-2012, the length of stay, and the type of surgery with respect to age, gender, study year, and season. The reoperations and rehospitalisations in 2004-2014 for SCFE were analysed for 2-10 years after surgery. In 2004 to 2012, primary surgery for SCFE was performed for 126 children. The average annual incidence of SCFE was 1.06/100 000 (95% confidence interval [CI], 0.81-1.38) in girls and 1.35/100 000 (95% CI 1.07-1.70) in boys. The median age at surgery was lower in girls than in boys (11 and 13 years, respectively, p<0.0001). During the study period, there was no significant change in the incidence of SCFE (p=0.9330), the type of primary procedures performed (p=0.9988), or the length of stay after the primary procedure (p=0.2396). However, the length of stay after percutaneous screw fixation was shorter compared with open reduction and fixation (mean 3.4 and 7.9 days, respectively, p<0.0001). There was no significant difference in the rate of reoperations according to the type of primary surgery.

In conclusion, the incidence of SCFE and the proportion of different primary surgeries have recently remained stable in Finland.
DESIGNED ORF PROTEIN FOR SUSTAINABLE THIRD GENERATION BIOFUEL PRODUCTION
Authors: Atia Liaqat  , Fatima Maliha , Sundas Ishtiaq  , Arshia Amin
Published: January 2024

The increasing global energy demands and depletion of fossil fuels urge us to develop alternative energy resources. In recent years, algae has gained much attention as a third-generation biofuel feedstock. Among Algae, microalgae are considered a good source of biofuels because of their relatively more oil concentration and rapid production of biomass. Microalgae have the ability to produce a wide variety of biofuels including bio-oil, bio-diesel, bio-syngas, and bio-hydrogen. Commercial production of biofuels from microalgae is presently not in use because of the high expense of production. This research was designed to produce a hybrid ORF that might enhance the oil yielding ability of the microalgae by its translation into a working protein. Ban y using an intensive literature survey, 6 genes from 3 microalgae species were selected.  Further, ORFs of selected genes were identified and Hybrid ORF was constructed by combining those ORFs. After that restriction enzyme analysis and thermodynamic analysis of the hybrid nucleotide sequence was carried out, and this showed that the hybrid sequence was stable. The Hybrid ORF nucleotide sequence was translated into the protein sequence. This protein sequence was used for the homology modeling of Hybrid ORF proteins. The protein conformation predicted by homology modeling was further verified by Ramachandran plot. The metabolic pathways were analyzed by KEGG, which showed that all selected genes were functioning in the biosynthesis of lipids. This showed that the Hybrid ORF constructed could be used in a way to enhance the oil content of microalgae for producing biofuel, particularly biodiesel. These results can be validated by further in vitro analysis and can be used for the construction of genetically engineered microalgae.
BACTERIOPHAGE COCKTAIL EXHIBITED SUPERB ANTIBACTERIAL AND ANTIBIOFILM ACTIVITY AGAINST SELECTED UROPATHOGENS
Authors: Ajaz Atia , Shafiq Ur Rehman  , Niaz Zeeshan , Ahmad Zahid , Saqib Saman , Ahmad Qazi Ajaz , Alvi Iqbal Ahmad
Published: January 2024

Urinary tract infections (UTIs) are most abundant bacterial infection worldwide. Approximately 150 million urinary tract infections occur every year globally. The predominant pathogens involved in etiology of UTI are Escherichia coli followed by Staphylococcus spp., Pseudomonas aeruginosa, Proteus spp., Klebsiella spp., Acinetobacter spp., Enterobacter spp., Citrobacter spp., and Enterococcus spp. It is estimated that uropathogenic E. coli (UPEC) cause 80% of UTIs cases. The over use of anti-microbial agents has extraordinarily amplified the rise of multidrug resistant (MDR) uropathogens. Biofilm formation by UPEC is also a major cause of antimicrobial resistance. To curb harmful ripple effects of antibiotic resistance we need to identify alternative treatment procedures. Bacteriophages are bacterial viruses that can invade and infect bacteria. Phage therapy is considered as best alternate to combat several antimicrobial resistant pathogens, including MDR uropathogens. The aim of this research was to isolate and characterize lytic bacteriophages from sewage water and to identify antibacterial and antibiofilm activity of isolated bacteriophage against UPEC. Hazara University Mansehra was the subject of the research. Bacterial samples of UPEC were collected from Ayub Teaching Hospital Abbottabad and Punjab University Lahore. Various biochemical tests including Gram staining, oxidase and catalase test were performed to identify UPEC. The isolated bacteriophages were confirmed by spot assay and plaque assay against the host bacterial strain. The phages were purified by serial dilution up to 5-6 times repeatedly. For morphological studies electron microscopy was performed. The specificity, lytic activity and efficient bacterial growth reduction ability of isolated phages in this study emphasize that these phages could be a suitable therapeutic agents for treatment of MDR infections.
DIAGNOSTIC VALUE OF MENTZER INDEX FOR THALASSEMIA PREDICTION IN SUSPECTED PATIENTS OF PUNJAB
Authors: Qurat-ul-ain Asghar  , Ghadir Ali  , Muhammad Khurram  , Muhammad Haris  , Ali Raza  , Rumesha Rafiq  , Abid Hanif  , Kiran Farooq  , Sumera Sabir  , Muhammad Zeeshan Ali  , Habib Ullah Tahir  , Anam Tanveer
Published: January 2024

Thalassemia is a genetic disease and became a worldwide problem. Worldwide, about 3-8% of population are suffered from beta thalassemia. The aim of this study was to use Mentzer index for predicting the beta thalassemia patients in the population of Punjab. This was a retrospective study conducted between 2021 September to 2022 June. In the current study, about n=1000 patients were selected to screen out for beta thalassemia in which n=607 were positive while the remaining were negative for the disease. Their sample were analyzed by using ABACUS 380 hematology analyzer for CBCs and hemoglobinpathies analysis and HPLC (high pressure liquid chromatography) for Hb analysis. Out of n=607 patients, 47 have beta thalassemia major in which 22 were male and 25 females respectively. In this study thalassemia positive females were 57.85% (n=350/605) and males were 65.06% (n=257/395). The prevalence of beta thalassemia was high (65.9%) in 16-30 years age group (P=<0.001).N=345 patients were positive for beta thalassemia minor in which 130 were male and 215 were female respectively. About n=179 patients were positive for beta thalassemia intermedia in which 89 were male and 90 were female patients. Thalassemia major was characterized by low level of Hb, HbA2 values between 3.5 to 9%, MCV between 50<70 fl and MCH >12<20 pg. But for beta thalassemia intermedia, the Hb were between 7 and 10 g/dl, MCV from 50-80fl and MCH between 16-24 pg. Thalassemia minor was categorized by slight low level of Hb, HbA2 values between 11.5-15.3%, RBCs between 4.8-5.3 million cells per microliter, MCV between 70<79 fl, MCH <27 pg and MCHC <30 g/dl respectively. Hemoglobinpathies such as Hb, HbA1, HbF and HbA were found significant (P=0.00) in both male and female patients This study recommends many diagnostic facilities, prevention centers to speed up the awareness camp and communicate with the family for screenings in regions of Punjab. Mentzer index could be used to predict the diagnosis of beta thalassemia.
A COMPREHENSIVE REVIEW ON NEUROTRANSMITTERS, ITS BIOLOGICAL IMPORTANCE AND METHODS OF ANALYSIS
Authors: Hussain Saddam , Muhammad Iltaf  , Esha Nazir  , Aleeza  , Aisha Hamid  , Shamim Sana , Ul islam Izaz , Khan Naqash , Haleema Bibi  , Syed Jawad Rasheed  , Fazal  Dad Khan
Published: January 2024

Neurotransmitters being the signalling molecules are crucial for normal brain functions and their imbalance is associated with a number of mental health diseases. Therefore precise detection and measurement of these molecules are essential in diagnosis of different brain disorders and research studies. Although various techniques have been suggested for their analysis but their specific detection and measurement is a challenging task because of their presence in lower concentrations in central nervous system and mixing with other biochemical substances and it is still an area of ongoing research. This paper discusses the conventional methods and also most recent advances and developments in the detection techniques of neurotransmitters such as electrochemical and nano-object sensing techniques with the goal to provide selection guidelines for diagnosis of diseases and research.
IN SILICO ANALYSIS AND FUNCTIONAL CHARACTERIZATION OF PHYTASE ENZYME FROM BACILLUS AMYLOLIQUEFACIENS
Authors: Naqqash Tahir , Shabbir Ghulam , Hanif Muhammad Kashif , Kazmi Mahwish Batool , Qaisrani Muther Mansoor
Published: January 2024

Phosphorus is an essential nutrient for the growth of plants and serves as the backbone for vital molecules essential for their survival. However, it exists in insoluble organic and inorganic forms in soils, resulting in limited availability to plants. Within the rhizosphere, phosphate-mineralizing bacteria facilitate the transformation of insoluble organic phosphorus into a plant-accessible form through the release of phytase enzymes. Phytase enzyme generates phosphorus by breaking down phytate. Numerous bacteria, including Bacillus species, have been identified to secrete phytases and play key role in phytate-phosphorus cycling. Therefore, this study conducted a comprehensive in silico analysis focusing on both the structural and functional attributes of the phytase enzyme in Bacillus spp. The research explored correlations by examining the phylogenetic relationship among phytase enzyme of various Bacillus species and strains. Physicochemical properties and STRING analysis were also investigated using diverse bioinformatics tools. B. amyloliquefaciens was chosen as the representative species for the 3D modeling of the phytase enzyme. The phytase protein demonstrated an average molecular weight of approximately 41.75 kDa, displaying a high percentage of beta turns and strands in its secondary structure, indicating thermal stability. This theoretical evaluation of the structure and function of phytase-producing Bacillus could assist researchers in gaining a better understanding of their potential for phytate hydrolysis. Furthermore, it might facilitate the elucidation of the catalytic activity and selection of phytase variants with desired characteristics.
ЗАДАЧА ОПРЕДЕЛЕНИЯ ИСТОЧНИКОВ В ПСЕВДОПАРАБОЛИЧЕСКОМ УРАВНЕНИИ ТРЕТЬЕГО ПОРЯДКА
Authors: Матанова Калыскан
Published: January 2024

В данной статье исследована обратная задача для одного класса псевдопараболических уравнений третьего порядка с переменными коэффициентами с неизвестной правой частью, представляющей собой сумму нескольких пространственно-локализованных источников, интенсивности которых меняются со временем и неизвестны. В качестве дополнительной информации задаются значения температуры в некоторых точках, как функции времени. С помощью функции Грина смешанной краевой задачи для обыкновенных дифференциальных уравнений второго порядка с переменными коэффициентами, а также методом резольвент и методом функции Грина найдены условия существования и единственности решения обратной задачи.
МОДЕЛИРОВАНИЕ ФИЛЬТРАЦИЯ И ПЕРЕНОС ВЕЩЕСТВА В ЦИЛИНДРИЧЕСКОЙ ДВУХЗОННОЙ СРЕДЕ С УЧЕТОМ НЕОДНОРОДНОСТИ ПОЛЯ СКОРОСТЕЙ ФИЛЬТРАЦИИ
Authors: Сулаймонов Фозил , Абдукодирова Мохира
Published: January 2024

В статье рассматривается задача переноса и фильтрации в двухзонной цилиндрической пористой среде с неоднородным полем скоростей. На основе уравнения пьезопроводности анализируются различные параметры коэффициентов проницаемости линии уровня давления, скорости фильтрации и линии уровня относительной концентрации. Исследовано влияние изменения коэффициентов проницаемости и диффузии на растворенное вещество и фильтрацию флюида.
ЛИНЕЙНЫЕ РАЗНОСТНЫЕ УРАВНЕНИЯ ПЕРВОГО ПОРЯДКА С ПРИЛОЖЕНИЯМИ
Authors: Урдалетова Анаркуль , Кыдыралиев Сыргак , Бурова Елена
Published: January 2024

Разностные уравнения являются замечательным инструментом исследования окружающей человека действительности. Они в полной мере иллюстрируют высказывание великого математика Жюля Анри Пуанкаре: «Математика — это искусство называть разные вещи одним и тем же именем». Несмотря на это, к сожаленью, они не занимают достойного места в программах обучения физиков, экономистов, политологов и других ученых. Возможно, дело в том, что нет достаточного количества понятно и интересно написанных материалов по соответствующей теме. Надеемся, что представленный материал в какой-то мере поможет преодолеть этот недостаток.
SOME CONSTRUCTIVE -ADIC GENERALIZED GIBBS MEASURES FOR THE ISING MODEL ON A CAYLEY TREE
Authors: Rahmatullaev Muzaffar , Tukhtabaev Akbarkhuja
Published: January 2024

The paper is devoted to some non-periodic -adic generalized Gibbs measures for Ising model on a semi-Cayley tree of order . We construct uncountable non-periodic -adic generalized Gibbs measures for the Ising model on a semi-Cayley tree. We study the boundedness of the measures. Furthermore, we find conditions that guarantee existence of the phase transition.
NEW WEAKLY PERIODIC ADIC GENERALIZED GIBBS MEASURE FOR THE ADIC ISING MODEL ON THE CAYLEY TREE OF ORDER TWO
Authors: Raxmatullayev Muzaffar , Abdukaxorova Zulxumor
Published: January 2024

In the present paper, we study the adic Ising model on the Cayley tree of order two. The existence of -weakly periodic (non-periodic) adic generalized Gibbs measures for this model is proved.
ХАРАКТЕРИЗАЦИЯ ДИФФЕРЕНЦИРОВАНИЙ И АВТОМОРФИЗМОВ НА АЛГЕБРАХ ИСАЕВА-КИСЛИЦИНА
Authors: Арзикулов Фарходжон , Уринбоев Фуркат , Абдумуминов Мурод
Published: January 2024

В настоящей работе изучаются простые алгебры, не принадлежащие к известным классам алгебр (ассоциативным алгебрам, альтернативным алгебрам, алгебрам Ли, йордановым алгебрам и т. д.). Такими алгебрами являются простые конечномерные алгебры над полем характеристики 0 без конечного базиса тождеств, построенные Исаевым и Кислициным. В настоящей работе мы рассматриваем такую алгебру - простую семимерную алгебру . Мы доказываем, что каждое локальное дифференцирование алгебры  является дифференцированием и каждое 2-локальное дифференцирование алгебры  также является дифференцированием. А также доказываем, что каждый локальный автоморфизм алгебры  является автоморфизмом и каждый 2-локальный автоморфизм алгебры  также является автоморфизмом.
ЗАДАЧА РАСПРЕДЕЛЕНИЯ СЫРЬЯ МЕЖДУ ПОТРЕБИТЕЛЯМИ С УЧЕТОМ ДОГОВОРНЫХ УСЛОВИЙ
Authors: Асанкулова Майрамкан , Искандарова Гульсунай , Эшенкулов Паяз
Published: January 2024

Исследована задача распределения добываемого сырья между перерабатывающими предприятиями и потребителями с учетом договорных условий. Рассматриваемая задача относится к классу задач математического программирования с линейными целевыми функциями. Приводится, что для данной задачи имеет место условие разрешимости задачи. Приближенным методом  в предположении, что имеет место, условие разрешимости задачи получено оптимальное распределение добываемого сырья между предприятиями.   Получен максимальный доход перерабатывающими предприятиями при  реализации ее после переработки.
ОБОБЩЕННЫЕ РЕШЕНИЯ ДИФФЕРЕНЦИАЛЬНЫХ УРАВНЕНИЙ С ПОСТОЯННЫМИ КОЭФФИЦИЕНТАМИ
Authors: Бердимуратов Амангелди
Published: January 2024

В этой статье доказывается теорема существования  обобщенных решений  дифференциальных уравнений с постоянными коэффициентами, определенное в некоторой окрестности  объединения трех  граней параллелепипеда.

В классических граничных задачах Дарбу-Гурса-Бодо значения решения и его производных задаются на трех  пересекающихся характеристических гиперплоскостях и ищется нужное число производных  заданных на этих гиперплоскостях которые из-за характеристичности гиперплоскостях обобщенные решения дифференциального уравнения  могут не иметь ограничений на гиперплоскостях. Автором рассматривается несколько иная форма постановки задачи т.е. продолжения обобщенное решение рассматриваемых системы определенное  в окрестности трех граней параллелепипеда  в окрестность большего параллелепипеда. Единственность ниже рассматриваемой задачи обобщенных решений дифференциальных уравнений доказано в предыдущих работах автора.
Hel-IoT Web Server: A Smart Heliostat Development Platform
Authors: Carballo Jose , Bonilla Javier , Fernández-Reche Jesus , Avila-Marin Antonio , Alarcón-Padilla Diego-Cesar
Published: January 2024

The smart heliostat is a concept that arises from applying artificial intelligence and computer vision techniques, mainly the machine learning technique called object detection, to the traditional heliostat to increase its efficiency and reduce costs [1,2]. Continuing with previous work at CIEMAT-PSA focused on the development of a smart heliostat and especially the solar tracking subsystem [3], a powerful tool (Hel-IoT web server) has been developed helping us with the laborious task of creating the dataset and training the model employed for object detection in solar tracking. The main goal of the Hel-IoT web server is to enhance the image data set employed to train new models and, at the same time, to improve the model that the web server is continuously running. The first conclusions that it can be extracted from the use of the Hel-IoT web Server for more than 4 working months is that it is a very powerful tool for the creation of labeled data sets with meteorological information, especially for the creation of data sets for smart heliostats. Furthermore, thanks to the joint use of CETA cluster (Centro Extremeño de Tecnologías Avanzadas), the Hel-IoT web server can improve the model automatically by periodically retraining it.
Technology-aided Instruction and demonstration Lesson Methods in Teaching Cookery: A modified Lesson Plan Exemplar
Authors: Arrisgado Wella R. , Arriesgado Anne R. , Gallego Archie S. , Solon Eugenia
Published: January 2024

The study intends to address the gaps by finding out the possible reason behind the difficulties and the lack of skills to come up with a solution and conclude whether it is effective or not to use technology-aide methods in teaching cooking to junior and senior high school students. The study emphasizes the necessity of addressing terminations of educational foundations, boundary boundaries, self-segregation, and social segregation. The study used simple random sampling, including students and teachers of Daanbantayan National High School situated at Malinao Road, Poblacion Daanbantayan, Cebu, Philippines. The study utilizes experimental comparative design through interviews and self-made questionnaires. After analyzing the data, the study found that the level of performance of the control group exposed to demonstration lessons and the level of performance of the experimental group exposed to technology-aided-utilization lessons were the same. In other words, students prefer learning and experimenting with technology-assisted instruction and demonstration lessons.
Integrated Care Models for Older Adults with Depression and Physical Comorbidity: A Scoping Review
Authors: Tops Laura , Beerten Simon Gabriël , Vandenbulcke Mathieu , Vermandere Mieke , Deschodt Mieke
Published: January 2024

Objective: Multimorbidity is a growing challenge in the care for older people with mental illness. To address both physical and mental illnesses, integrated care management is required. The purpose of this scoping review is to identify core components of integrated care models for older adults with depression and physical comorbidity, and map reported outcomes and implementation strategies. Methods: PubMed, EMBASE, CINAHL and Cochrane Library were searched independently by two reviewers for studies concerning integrated care interventions for older adults with depression and physical comorbidity. We used the SELFIE framework to map core components of integrated care models. Clinical and organisational outcomes were mapped. Results: Thirty-eight studies describing thirteen care models were included. In all care models, a multidisciplinary team was involved. The following core components were mainly described: continuity, person-centredness, tailored holistic assessment, pro-activeness, treatment interaction, individualized care planning, and coordination tailored to complexity of care needs. Twenty-seven different outcomes were evaluated, with more attention given to clinical than to organisational outcomes. Conclusion: The core components that comprise integrated care models are diverse. Future studies should focus more on implementation aspects of the intervention and describe financial parts, e.g., the cost of the intervention for the healthcare user, more transparently.
Scalable Network Intrusion Detection in Cloud Environments through Parallelized Swarm-Optimized Neural Networks
Authors: Ramamoorthy Ramakrishnan , Ranganathan Ramesh Kumar , Ramu Sivakumar
Published: January 2024

Cloud computing (CC) offers on demand, flexible resources and services over the internet, to secure cloud assets and resources, privacy and security remains a difficult challenge. To overcome this problem, we proposed a Modified Dove Swarm Optimization Based Enhanced Feed Forward Neural Network (MDSO-EFNN) to examine the network traffics flow that targets a cloud environment.NetworkIntrusion detection systems (NIDSs) are crucial in identifying assaults in the cloud environment, which helps to reduce theproblem. In this study, we gather a NSL-KDD network traffic dataset.Secondly, collected data is preprocessed using Z score normalization to clean the data. Thirdly, Continuous wavelet transform (CWT) is employed to extract the unwanted data. Ant colony optimization (ACO) is used to choose the appropriate data. The selected appropriate data is used to test the process using MDSO-EFNN. The simulation findings of the result use a Python tool. As a result, our proposed method achieves significant outcomes with classification of accuracy (95%), precision rate (97%), sensitivity (98%), and specificity (96%)
Hough Transform based Deep Belief Network and Improved Homomorphic Encryption for Cloud Security based Intrusion Discovery
Authors: Ramu Sivakumar , Ramamoorthy Ramakrishnan , Ranganathan Rameshkumar
Published: January 2024

The enlarge development in information technology is cloud computing, which offers minimized infrastructure cost, lower maintenance, greater flexibility and scalability. Nowadays, the network security plays vital role in enterprises and organizations. The influence vulnerabilities were occurred due to attackers based on network configuration. Because of cloud and IoT growth, enlarge amount of data obtained from IoT sensor and devices are transmitted to cloud data centers. Several security issues like focused web servers in the cloud and information collection mishandling are faced by storage and cloud-based computing when offering us considerable convenience. For that reason, this article proposes a deep learning-based cloud security oriented intrusion discovery. Primarily, the input dataset is pre-processed by using normalization techniques followed by the features are selected using an Adaptive White Shark Optimization (AWSO) algorithm. The normal and intrusion data is classified by using Hough Transform based Deep Belief Network (HT-DBN) after that the sensitive data are secured with the help of an Improved Homomorphic Encryption (IHE) model. The simulation tool of MATLAB is been used to simulate the proposed implementation part and the experimental results outperformed the detection accuracy of 97% than other previous approaches.
Using Arithmetic Optimization Algorithm to Allocate and Size Wind Energy Systems in RDSs
Authors: Mosaad Mohamed
Published: January 2024

Recent years have seen a marked increase in the world’s energy needs. Numerous studies have been conducted to examine distributed generation (D.G.) utilizing renewable energy sources (R.E.S.s) in order to address this need. The number of environmental problems that are resolved by the usage of traditional power plants is also decreased by these renewable sources. The ideal position and size of the RESs-DG significantly influence the bus voltage profile, power quality, and efficiency of Radial Distribution Systems (RDS) because of power losses. In this study, the use of wind energy systems as a DG source in RDS is investigated. One of the most common RESs used as DG sources, the ideal location and size for wind system, was chosen to demonstrate this enquiry. The goal of this optimization work, which used the Arithmetic Optimization Algorithm (AOA), was to increase system efficiency by minimizing power losses and improving the voltage profile and power quality. Three widely used RDS, including the IEEE 31 and 69 bus systems, have been used to evaluate how well the recommended technique has been implemented. Genetic Algorithm (GA) is offered to examine the efficacy of the recommended AOA. The findings show that the used AOA approach can pinpoint the appropriate size and positioning of a wind farm in order to reduce power loss, enhance voltage profile, and outperform other existing tactics with superiority over GA.
Modelling and performance assessment of a two-bed adsorption chiller at different operating conditions
Authors: AMIN MAJDI
Published: January 2024

The study aims to assess the performance of an adsorption chiller using the Maxsorb III-methanol as an adsorbent pair. A modified transient lumped parameter model was developed to evaluate the dynamic behavior of the system at various operating parameters. Methanol is used as refrigerant as it has a significant latent heat of evaporation, high normal boiling point, low melting point and environmentally friendly. The results showed that the modified transient lumped parameter model can predict well the dynamic behavior of the adsorption chiller under different operating conditions. The system was able to produce about 13.65 kW (227 W kg-1) cooling capacity with a thermal COP of 0.73 at 85 and 30 oC driving source and cooling temperatures respectively. In addition, simulation tests were made to compare the performance of the Maxsorb III-methanol system with the different working pairs at the same physical dimensions of the present system components and operating parameters. At heat source temperatures of 85 oC which can be gained from waste heat or solar energy, the COP of the Maxsorb III-methanol cycle was about 12.0%, 44.0% and 6.6% higher than that of ACF-ethanol, silica-gel-water and activated charcoal/methanol cycles. The Maxsorb III/methanol adsorption cycle can work effectively with low grade heat sources, which can be gained from renewable energy or waste heat sources.
Potentializing Green-IoT, AI and 6G Technologies in Computational Thinking
Authors: Abosaq Nasser
Published: January 2024

Computational thinking is a problem-solving approach that involves breaking down complex problems into smaller, more manageable parts and identifying patterns and relationships between different components whereas Green-IoT and Artificial Intelligence (AI) in 6G environment are important approaches for potentializing an effective Computational Thinking solution. AI approaches involve developing algorithms that can learn from data, make predictions and decisions, and perform complex tasks without explicit programming. When it comes to Green-IoT, both computational thinking and Artificial Intelligence can be used to analyze and interpret the massive amounts of data generated by connected devices using 6G communication networks. This can lead to more intelligent and efficient use of resources, as well as improved automation of various processes. The combination of Green-IoT, AI and 6G Technologies in computational thinking has the potential to transform various industries and improve the quality of life for individuals is expected to lead to new applications and services that are more intelligent, efficient, and personalized. However, it is important to consider the ethical implications of using these technologies and to ensure that they are used in a responsible and transparent manner. This research presents a review on computational thinking, particularly, we ﬁrst give an overview of essential parameters through Green-IoT enabled sensor technologies under 5G, 6G environment and Artificial Intelligence. We then present a basic architecture for IoT and AI based computational thinking system considering key requirements to potentialize social applications discussing their strengths and weaknesses in the context of framework for community services. Finally, we explored various security threats for Artificial Intelligence based architecture and their solutions with a comprehensive methodology to design robust and resilient computational thinking services system needed in the context of social networking and related issues.
Cerebellar Leukoencephalopathy following Fentanyl Intoxication. A case report and review of the literature
Authors: Ramawad Hamzah Adel , Toloui Amirmohammad , Chen Victor , Sun Yan
Published: January 2024

The opioid crisis has become a significant public health concern in recent years. Although respiratory depression and overdose are the most reported side effects of fentanyl, there have been rare cases of cerebellar leukoencephalopathy (CLE) following fentanyl intoxication. A 29-year-old man with a history of opioid use disorder and intravenous drug use presented to the emergency room with significant ataxia and dysarthria following fentanyl intoxication. According to the patient, the symptoms began four days prior after “chasing the dragon” with “pure fentanyl”, and he reported experiencing nausea and dizziness, particularly during ambulation. Neurological examination revealed a positive Romberg test, ataxia, and delayed speech. Brain magnetic resonance imaging (MRI) indicated there was toxic degeneration of the cerebellar white matter that extended into the posterior limbs of the internal capsule. Urine drug screening was positive for opioids, making fentanyl-induced cerebellar leukoencephalopathy the most likely diagnosis in this case. This case of opioid-induced CLE underscores the critical significance of early recognition, which is vital for enhancing a patient’s recovery and averting the development of severe neurological complications.