bluuebunny/crossref_metadata_2025 huggingface dataset:
Advanced strategies for single embryo selection in assisted human reproduction: A review of clinical practice and research methods
Authors: Bashiri Zahra , Afzali Azita , Koruji Morteza , Torkashvand Hossein , Ghorbanlou Mehrdad , Sheibak Nadia , Zandieh Zahra , Amjadi Fatemehsadat
Published: June 2024

Among the primary objectives of contemporary assisted reproductive technology research are achieving the births of healthy singletons and improving overall fertility outcomes. Substantial advances have been made in refining the selection of single embryos for transfer, with the aim of maximizing the likelihood of successful implantation. The principal criterion for this selection is embryo morphology. Morphological evaluation systems are based on traditional parameters, including cell count and fragmentation, pronuclear morphology, cleavage rate, blastocyst formation, and various sequential embryonic assessments. To reduce the incidence of multiple pregnancies and to identify the single embryo with the highest potential for growth, invasive techniques such as preimplantation genetic screening are employed in in vitro fertilization clinics. However, new approaches have been suggested for clinical application that do not harm the embryo and that provide consistent, accurate results. Noninvasive technologies, such as time-lapse imaging and omics, leverage morphokinetic parameters and the byproducts of embryo metabolism, respectively, to identify noninvasive prognostic markers for competent single embryo selection. While these technologies have garnered considerable interest in the research community, they are not incorporated into routine clinical practice and still have substantial room for improvement. Currently, the most promising strategies involve integrating multiple methodologies, which together are anticipated to increase the likelihood of successful pregnancy.
Osteocalcin improves testicular morphology but does not ameliorate testosterone synthesis signaling in azoospermic mice
Authors: Yaghobinejad Mahsa , Toolee Heidar , Solhjoo Somayeh , Seifali Elham , Parvari Soraya , Akanji Omotosho Dhulqarnain , Rastegar Tayebeh
Published: June 2024

Objective: Osteocalcin (OCN) influences spermatogenesis in conjunction with testosterone and estrogen. OCN facilitates the secretion of testosterone by engaging with G protein-coupled receptor class C group 6 member A (GPRC6A) on Leydig cells and with androgen receptors on Sertoli cells.Methods: Adult mice were assigned to the following groups: control; sham I, which received dimethyl sulfoxide for 5 weeks followed by phosphate-buffered saline for 1 month; azoospermia, which was treated with busulfan (40 mg/kg); sham II, which consisted of azoospermic animals that received phosphate-buffered saline for 1 month beginning at the 5-week mark; and the experimental group, which included azoospermic mice treated with OCN (3 ng/g/day) for 1 month.Results: In the mice receiving OCN treatment, immunohistochemical analysis revealed increased expression of androgen receptors and GPRC6A, indicative of enhanced spermatogenesis. Additionally, the expression levels of the cyclic adenosine monophosphate-responsive element binding protein 1, steroidogenic acute regulatory protein, and cytochrome P450 family 11 genes were elevated. However, testosterone levels exhibited no significant differences across groups. Morphometric analysis suggests that OCN may play a crucial role in spermatogenesis, as evidenced by its positive effects on germinal cells and the germinal epithelium in the azoospermia group (p<0.05).Conclusion: We conclude that OCN may serve as a beneficial therapeutic agent for male infertility.
Study on Consumer’s Perception of Ampligo (Syngenta) Insecticide in Barabanki District of Uttar Pradesh, India
Authors: Bihari Anand , Maurya Mukesh Kumar , Channe Chirag B.
Published: June 2024

Insecticides are chemicals used to control insects by killing or preventing them. These chemicals are important in agriculture to protect crops from pests that can reduce yield and quality. Insecticides come in many forms, including sprays, powders, and granules, and can be classified according to their chemical composition, such as organophosphates, pyrethroids, and neonicotinoids. While Insecticides are effective in controlling pests, they pose risks to human health, beneficial insects such as pollinators, and the environment. Overuse can cause pests to develop resistance, making them harder to control over time. Integrated Pest Management (IPM) strategies consider the use of Insecticides in conjunction with other practices such as biological control and crop rotation to minimize adverse impacts during agricultural management. Assessing the benefits and risks of pesticide use is critical to sustainable pest management. This study focused on consumer perception of Ampligo insecticide in Barabanki district of Uttar Pradesh. A sample of 100 respondents was selected from seven selected villages. During the research, it was determined that there were two businesses engaged in amligo marketing in the study area. Among them, most survey respondents prefer Pipeline II in dealing with business owners in the amligo industry, and 21 (21%) farmers prefer to purchase agrochemicals based on quality. Purchasing, about 15 (15%) farmers prefer commercial products, 13 (13%) farmers buy agricultural products as commercial products, about 07 (7%) farmers purchase agricultural products - persuade products through advertising strategies, 6 (6).) farmers get information about the product from their friends, neighbors or other people, and about 4 (4%) farmers like the appeal of the packaging.
Characterization Studies and Antimicrobial Efficacy of Silver Nanoparticles Synthesized Using Aspergillus niger: A Biological Driven Approach
Authors: B Kiran Sharma , Dakshinamoorthi Balakumaran Manickam , S Jagadeeswari
Published: June 2024

For years, nanoparticles have been the subject of extensive research, continuously captivating researchers due to their minute size and distinctive surface properties. Among these, silver nanoparticles (AgNPs) stand out as particularly noteworthy, acclaimed for their remarkable biological, chemical, electrical, optical, and thermal characteristics. Moreover, the advent of biological synthesis methods has provided an environmentally friendly and cost-effective means of producing nanoparticles. In this study, the synthesis of silver nanoparticles (AgNPs) utilizing fungal isolates from marine soil samples was explored. A visible shift in color, from light to dark brown, signified the formation of silver nanoparticles through fungal mediation. Confirmation of the reduction reaction of silver ions in the fungal cell-free filtrates was achieved using UV-visible spectroscopy, which revealed a surface plasmon resonance peak at 420 nm. Scanning electron microscopy (SEM) affirmed the presence of spherical nanoparticles within the size range of 10-30 nm, while X-ray diffraction studies (XRD) validated the presence of metallic silver. The synthesized nanoparticles exhibited potent antimicrobial activity against both gram-positive and gram-negative clinical isolates, with minimum inhibitory concentration (MIC) values indicating their efficacy. This underscores the potential of these silver nanoparticles in combating major infections. Further assessment of this property was conducted through time-kill assays, revealing bacterial cell viability at various time intervals. The identification of fungi at the molecular level was accomplished through 16S rRNA sequencing.
UPAYA PENINGKATAN LITERASI EKONOMI BAGI SISWA SD DALAM MENYONGSONG ERA SOCIETY 5.0
Authors: Maritim Ery , Damayanti Maya , Susilowati Diah , Budiarso Aji
Published: June 2024

Perkembangan teknologi dan ilmu pengetahuan yang pesat saat ini telah membawa dampak kompleks dalam kehidupan manusia, termasuk dalam bidang pendidikan. Tuntutan akan sumber daya manusia yang berkualitas dan memiliki etos kerja yang baik semakin meningkat. Oleh karena itu, pendidikan memiliki peran penting dalam meningkatkan kualitas hidup manusia. Penelitian ini bertujuan untuk meningkatkan literasi ekonomi siswa Sekolah Dasar (SD) dalam menghadapi era Society 5.0 di mana lebih menekankan bahwa teknologi dan fungsinya sudah menjadi bagian dari kehidupan manusia. Metode yang digunakan dalam penelitian ini, yakni metode studi literature review. Metode ini bersifat sistematis, eksplisit, dan reprodusibel untuk mengidentifikasi, mengevaluasi, dan mensintesis tulisan-tulisan dari penelitian sebelumnya. Penelitian dilakukan melalui beberapa tahapan oleh praktisi dan ahli dengan menggabungkan referensi dari artikel penelitian dan konseptual pada jurnal nasional bereputasi yang diambil melalui Google Scholar dan lain-lain. Hasil penelitian menunjukkan bahwa pembelajaran ekonomi pada tingkat SD dapat meningkatkan literasi ekonomi siswa. Guru dapat menggunakan berbagai upaya pengajaran yang disesuaikan dengan kemampuan siswa untuk memberikan pemahaman tentang konsep dasar ekonomi. Literasi ekonomi membantu siswa dalam memahami kegiatan ekonomi sehari-hari dan mengambil keputusan yang lebih rasional. Pemberian pemahaman tentang literasi ekonomi juga membutuhkan intervensi dari keluarga dan sekolah.
Perioperatif Beta Blokör Kullanılan Hastaların Beating Heart Yöntemi ile Yapılan Koroner Revaskülarizasyon Operasyonlarında Pankuronyum ve Vekuronyum Kullanımının Hemodinamik ve Biyokimyasal Olarak Karşılaştırılması
Authors: Oğuş Halide , Koçak Tuncer
Published: June 2024

Çalışkan kalpte koroner bypass operasyonu sırasında hareketli kalp üzerinde koroner arterlere güvenilir bir anastomozun yapılabilmesı için cerrahi işlemi kolaylaştıracak, mevcut miyokardiyal iskemiyi arttırmayacak, organ perfüzyonunu koruyacak intraoperatif uygun medikasyon önemlidir. Genel anestezik, kas gevşetici ve hastanın kullandığı beta blokörler gibi diğer ilaçlar kardiyovasküler sistemi etkilerler. Anestezi sırasında yüksek doz opiod kullanılacaksa hemodinamiyi etkileyecek kadar ciddi bradikardi yaratmayacak, bir nöromüsküler i̇laç kullanılmalıdır. Bu çalışmada, intraopetatif dönemde kas gevşetici olarak vekuronyum veya pankuronyum kullanılan hastaların atan kalpte yapılan bypass (Beating Heart) ameliyatlarında kalp hızını azaltarak koroner arter anastomozunu kolaylaştırmak amacıyla iv metoprolol uygulamasının, hemodinami ve kardiyak enzimler üzerine etkilerinin incelenmesi amaçlanmıştır. Bu çalışmaya 23 hasta dahil edildi. Anjiografik olarak ileri sol ventrikül disonksiyonu, kontrolsüz veya insüline bağımlı diyabeti, ciddi kronik akciğer hastalığı, periferik damar hastalığı bulunan kalp atım hızı 60 atım/dak altında olan, 1. dereceden fazla kalp bloğu olan hastalar çalışmaya dahil edilmedi.
Tüm hastalarda kalp hızı (HR), periferik oksijen satürasyonu (sPO2), invaziv sistolik ve diyastolik arter basıncı (sırasıyla SAB, DAB) monitörize edildi. Santral venöz basınç (CVP), termodilüsyon kateteri takılarak pulmoner arter basıncı (PAB) monitörize edildi. Kardiyak output cihazı (Gould Cardiac Output Computer) ile kardiyak output (CO), kardiak indeks (CI), atım volümü (SV), sol ventrikül atım volümü indeksi (LVSWI), sağ ventrikül atım volümü indeksi (RVSWİ), pulmoner vasküler rezistans (PVR), sistemik vasküler rezistans (SVR) intraoperatif ve postoperatif erken dönemde izlendi. Atan kalpte anastomoz öncesi 2 mg lık dozlar şeklinde iv metoprolol kalp atım hızı 60-70, sistolik kan basıncı 80-100 mm Hg, düzeyince olacak şekilde uygulandı.
Bu çalışmada iki grup arasında SKB, DKB, CI, SVİ, LVSWİ, RVSWİ, SVR, PVR ler arasında aynı dönemlerde anlamlı fark bulunmadı (p>0.05). Her iki grupta iv metoprolol ile anastomoz başlangıcında HR, sistolik ve diyastolik kan basıncı, CI azaldı. Kullanılan intraoperatif toplam metoprolol dozları Grup I’ de (11.5± 6.3 mg), Grup II ‘ye (21.7±8.7) göre düşük bulundu (p
A qualitative pilot study examining Tibetan bowls and monochord sound meditation with adults with mental health conditions and intellectual disabilities
Authors: Gal Harel , Elefant Cochavit
Published: June 2024

Tibetan bowls and monochords are millennia-old instruments used for spiritual and therapeutic purposes. In the last few decades, there has been growing interest in the use of these instruments in meditation and therapeutic settings. Nevertheless, they are still rarely used in music therapy in the Western world, either because of technical difficulties or musical or cultural biases. The purpose of this pilot study was to examine the experiences of adults with mental health conditions and intellectual disabilities during sound meditation sessions using Tibetan bowls and a monochord. In this qualitative pilot, a group of six psychiatric inpatients participated in seven weekly sound meditation sessions over eight weeks that implemented Tibetan bowls and the monochord combined with meditation. Semi-structured interviews were conducted after each session to capture participants’ reflections on their experiences. The interview data was analysed using thematic analysis. Three main themes emerged: physical sensations, experiences of emotions, and visual experiences. The sounds of the Tibetan bowls and the monochord helped participants relax and evoked a wealth of emotions and mental imagery. These findings suggest that using these instruments with adults with mental health conditions and intellectual disabilities can foster relaxation, as well as heighten their awareness of physical sensations, feelings, and previous life events. Music therapists can thus integrate Tibetan bowls and the monochord into their skillset and use them during treatment sessions.
Community Nurses In Canada: A Focus On Skin And The Prevention And Management Of Wounds
Authors: Kuhnke Janet L. , Calliou Holly , McGillis Susan
Published: June 2024

In Canada, community nurses play a key role in supporting preventative initiatives and the promoting and preserving of health of individuals, families, and communities. Specifically, home health nurses focus on the care of persons and their care partners living with long-term conditions. For First Nation nurses living and working in Alberta communities, serving the people means ensuring the people’s voices are heard. This article shares the journey of two community nurses, Holly Calliou and Susan McGillis, to illustrate the complexity of their roles and responsibilities in relation to skin and wound care services.
Analisis Semiotik Charles Sanders Peirce Terhadap Logo Perusahaan Goto Indonesia
Authors: Jaya Raymond  Clement , Aprilia Adinda Putri , Ramdani Adisti Citra , Aqila Amyra Amalia , Rinendaputri Alyssa Azka , Aulia Karina , Amanda Putri Tasha Suciati , Hafiar Hanny
Published: June 2024

Logo adalah suatu gambar, simbol, atau lambang yang memiliki arti dan makna tertentu yang mewakili suatu perusahaan, organisasi, lembaga, ataupun produk. Setiap logo tentu memiliki filosofi, dasar, serta tujuan mengenai terbuatnya logo tersebut. Mengingat hal tersebut, GoTo atau Gojek dan Tokopedia sebagai ekosistem digital terbesar di Indonesia juga turut menciptakan logo yang menjadi identitas perusahaannya. Berdasarkan hal tersebut, penelitian ini ditujukan untuk mengenal dan mengetahui makna, tanda, maupun simbol-simbol sekaligus mengetahui makna ikon, indeks, dan simbol yang ditemukan dalam logo perusahaan GoTo. Melalui analisis semiotika, peneliti menggunakan metode kualitatif interpretatif dengan teori analisis dari Charles Sanders Pierce atau “Grand Theory” yang bersifat menyeluruh, deskripsi struktural dari semua penandaan. Hasilnya, logo GoTo memiliki bentuk abstrak dan konkret yang terdiri dari Picture Marks dan Typographic Logo. Logo GoTo menggunakan dua warna yang nyaman dan tegas untuk dilihat, yakni warna hijau dan hitam, dengan arti pertumbuhan dan kesan formal yang elegan. Dapat diinterpretasikan, bahwa logo GoTo menggambarkan persatuan antar dua perusahaan yakni Gojek dan Tokopedia yang mampu membentuk pemikiran persatuan antara perbedaan namun tetap bisa bekerjasama untuk mencapai tujuan yang baik.
Understanding of Hybrid Political System of Islamic Republic Iran: The Case Study of General Election 2024
Authors: Ali Maryam , Mustafa Ghulam , Wakil Imran , Ahmad Fatima Rasheed
Published: June 2024

The Islamic Republic of Iran possesses a hybrid political system. It encompasses both elements of democracy and Islamic theocracy. As a unique model of the Islamic governmental system, the political system in Iran rests on dual sources of legitimacy. The objective of this paper is to examine the voter behaviour and the result of the 2024 elections in the Islamic Republic of Iran as well as to study the impact of president death on the election schedule. This election recorded the lowest turnout in history. The voter behaviour, attitude, and concerns towards Iranian politics and electoral politics also studied. The factors that caused low turnout is also discussed. The data for conducting this research is collected from journals, articles, official websites, and other secondary sources. The study concluded that the hope of no political and social change in Iran exploits the voters and that’s the main reason of low turnout in elections 2024. This study recommends that Iran’s government should focus to make electoral process modern, and policies should be flexible.
Integrating Gamification Strategy to Stimulate Students' Interest and Motivation on English Lesson at SMP Negeri 26 Makassar
Authors: Putri Anindia , Nur Qalbi  , Awalia Azis
Published: June 2024

The goal of this research is to clearly identify more about the problem of the gamification learning approach by using teaching materials based on gamification achievement in face-to-face learning and how Android applications used as a way of mobile learning to overcome these problems. This study aims to examine the application of gamification to stimulate students' interest and motivation in the concept of mobile learning by using a learning resource named Lima Sahabat for learning among seventh graders of junior high school. A Quasi-experimental study design was used (non-equivalent control group Pre-Test and Post-Test designs). The population in this study were all the seventh grade students (224 students) and the samples were class VII.2 (31 students) and VII.3 (31 students). The result for interest there was an increase of 1,9 points for the control class (72,74 – 70,84), while in the experimental class there was an increase of 14,52 points (78,23 – 63,71) and the result of motivation there was an increase of 1,03 points for the control class, while in the experimental class there was an increase of 18,87 points. The significance value of 0.000 for the learning interest variable and 0.001 for the learning motivation variable is less than 0.05 (5%), the null hypothesis (Ho) was rejected and the alternative hypothesis (H1) was accepted. By accepting the alternative hypothesis (H1), it can be concluded that gamification effects the interest and learning motivation of class VII students at SMP Negeri 26 Makassar in English Lesson.
Comparative Analysis of Financial Market Volatility and Correlation Risk During the Great Recession and the COVID-19 Pandemic
Authors: GOBBI Fabio
Published: June 2024

This paper offers a starting point for reflection on the similarities and differences of the impact on financial markets of the Great Recession of 2008 and of the Covid-19 pandemic of 2020 in terms of volatility and correlation risk among the most significant financial indexes in Europe. More precisely, the dataset employed includes the daily returns of Ftse100, CaC40, Dax30 and FtseMib40, with reference to the two time periods in which the two major crises manifested their effects on the markets. We use two different methodological approaches: the analysis of the daily conditional variance using various families of GARCH models and the study of the weekly realized volatility using HAR models. Furthermore, the estimation of the dependence structure of the GARCH residuals using copula functions is performed.© 2024 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
Piloting Tom Brown, a locally produced supplementary therapeutic food for the management of moderate acute malnutrition in Gombe State, Nigeria
Authors: Ostrowski JJ , Parikh K , Umar A
Published: June 2024

BACKGROUND AND OBJECTIVES
Over 50,000 children in Nigeria’s Gombe state have moderate acute malnutrition (MAM) and are at risk of deteriorating to severe acute malnutrition (SAM). An effective strategy to reduce mortality is through a targeted supplementary feeding programme delivered within community-based management of acute malnutrition (CMAM) interventions. We present findings from an outpatient therapeutic programme (OTP) which used Tom Brown for treating children with MAM. Tom Brown is a locally produced flour blend of sorghum, soybeans, and groundnuts, consumed as a sweetened porridge.

METHODS
We conducted retrospective analysis of patient data from OTP sites in three local government areas between October 2022 and December 2023. Data were extracted for children aged 6-59 months diagnosed with MAM, defined as absence of oedema; weight-for- height z-score (WHZ) ≥-3 and <-2; and/or mid upper arm circumference (MUAC) ≥11.5 and <12.5 cm. Those enrolled for at least 14 days and receiving 1.5 kg per week of Tom Brown were included.

RESULTS
Of the 1,207 cases of MAM treated, 1,089 (90.2%) recovered i.e. had two consecutive visits with WHZ >-2 and MUAC >12.5 and no severe clinical complications; 91 (7.5%) defaulted; 21 (1.7%) did not improve; 4 (<1%) were transferred out; and 2 (<1%) died at the end of follow- up. During treatment, 197 (16.3%) deteriorated to SAM and were switched to ready-to-use therapeutic food. All deaths (n=2) deteriorated to SAM. For children who recovered without deterioration, average enrolment length was 36.3 (±15.8) days and average weight gain was 4.21 (±3.03) g/kg/day.

CONCLUSIONS
With acceptable recovery and low death rates, Tom Brown is a feasible alternative for treatment of MAM. Made with cheaper ingredients, it can potentially reach more children for the same cost, particularly when combined with frequent screening and early diagnosis in the community. Timely follow-up of defaulters may also improve adherence. Research is needed to understand Tom Brown’s effectiveness compared to commercial products or combination with cash-based assistance.
TIMES OF MINIMA FOR THE CLOSE ECLIPSING BINARY V405 DRACONIS
Authors: Pyatnytskyy, M. Yu.
Published: June 2024

We present times of minima for an eclipsing binary V405 Dra of EW type. We used the MAVKA software to derive times of minima from observations conducted by one of the authors (Pyatnytskyy) (18 minima), from TESS data (816 minima), and from ASAS-SN, SuperWASP, and NSVS observations (15 minima). The O-C diagram built using the mentioned times of minima shows a complex period variation in the system.
THE EFFICIENCY OF OPERATIONS MANAGEMENT OF CONSTRUCTION ENTERPRISES IN CONDITIONS OF PUBLIC-PRIVATE PARTNERSHIP
Authors: KALININ Oleksandr , MALTSEV Maksym , DATSIUK Pavlo
Published: June 2024

This article explores the operational management of construction
enterprises within the framework of public-private partnerships (PPP). It describes
the theoretical foundations of operational management, main tasks, methods and
tools, as well as the specific features of operational management in PPP construction
enterprises.
The main tasks of operational management include timely and cost-effective
project execution, risk minimization, resource optimization, ensuring construction
quality, and meeting customer needs.
The authors discuss methods of performance evaluation, coordination, and
control mechanisms in managing construction projects under PPP. The article
proposes a performance evaluation system for construction enterprises from the
perspective of PPP. Emphasis is placed on the importance of risk management in
PPP projects. A model of the impact of risk assessment on management decision-making in PPP is formulated.
A combined approach to risk assessment is proposed, integrating elements of
sensitivity analysis, simulation modelling, and expert evaluation. Recommendations
for improving the operational management system and enhancing risk management
in PPP are provided.
Keywords: operations management, construction enterprise, management
tools, strategic partnership, public-private partnership, risk management,
performance evaluation, coordination, control.
Evaluation of the effectiveness of methodological approaches to hierarchical intelligent control of ground-air Ad-Hoc communication network
Authors: Bieliakov R. , Fesenko O.
Published: June 2024

The article shows the features of intelligent management processes of a new type of ground-air communication networks that are rapidly being implemented. The dynamic nature of the conditions of operation and behavior of communication nodes, both ground and air, causes a rapid increase in the volume of service information necessary to ensure continuous and adaptive management in real time. One of the ways to solve this problem is the redistribution of management tasks at different stages of the management cycle, which is classically divided into the stages of planning, deployment and operational management. On the one hand, the increase in entropy at the planning stage complicates this process, but this approach will increase the probability of making "correct" management decisions from the standpoint of quality management (network metrics).

The work investigates a new architecture of a hierarchical intelligent ground-air communication network control system based on the model-free Reinforcement learning algorithm as a Q-learning network agent and FA-OSELM online sequential extreme machine learning algorithms as node-level agents.

The IСS model is presented, its adequacy is checked, and the process of its learning at the planning stage on various mobility models is shown. An important feature of the IСS training process is the application of the developed mobility model, disclosed in the article, which describes the interaction processes of communication nodes at a deeper level. The work conducted a study of the representativeness of the training sample, obtained using the developed mobility model, that was carried out relative to the existing ones, and it was determined that despite the smaller volume of the population of the initial data, it was possible to ensure a better quality of resource management.
An improved method planning path of an autonomous ground robot with using the MBD-RRT*FFT algorithm
Authors: Bernatskyi A.
Published: June 2024

The study analyzed the problems associated with planning the path of robots and increasing the accuracy and reliability of their guidance in real time. To solve this problem, a practical study was conducted, based on the obtained analysis, a modification of the asymptotically optimal BD-RRT*FT algorithm and was proposed and improved the MBD-RRT*FFT algorithm. was developed. Which, when applied in dynamic environments due to the use of multi-threaded computations, has better dynamic scheduling capabilities, and the use of Fitch's optimal search result selection algorithm provides a general tendency to choose the optimal straight-line path.

To verify the effectiveness of the proposed algorithm improvement method, simulations were carried out using our own simulation program. A comparison of the MBD-RRT*FFT algorithm with other algorithms was carried out on three maps with an evaluation of performance indicators.

In order to evaluate the behavior of the program, as well as to identify bottlenecks in the execution of the algorithm, the memory load of the decision-making system was monitored at all stages of the verification. This made it possible to see an increase in the consumption of memory resources by 12-15%, but taking into account the obtained results regarding the optimality and speed of calculations, conclusions were made regarding the minimal impact. Additional understanding of the need for careful selection of the hardware component of decision-making systems is provided.

The scientific novelty of the method consists in the application of a scientific and methodological apparatus for improving the BD-RRT*FT algorithm, which ensured further development in terms of expanding and supplementing known data on algorithms with robot path planning and increasing accuracy and reliability in real time. The method includes methods of research, systematization and adjustment of new and previously acquired knowledge.
Applied mathematical providing of management of energy of resource of knots of sensory network for the (special) military setting charges
Authors: Minochkin A. , Masesov М. , Shatsilo P.
Published: June 2024

The analysis of experience of realization of soldiery operations in war of the Russian federation against Ukraine witnessed, that the use in the armed forces of frontrank technologies the increase of troops of enemy allows in good time to disrobe on borders between the states, that take part in a military conflict, to reduce the strong points of opponent, redeployment of troops, their preparation to the rocket inflicting blows and other. Self introduction of such technologies in CASS of management troops and weapon allows in good time to react on influence of various external factors and gives an opportunity to the command and troops on a battlefield quickly to adapt to the changeable situation on all space spacious realizations of battle actions.

To such frontrank technologies the soldiery scientists of armies of frontrank countries of the world take technologies of wireless sensory networks (WSN). Such descriptions of WSN as: 1 – is a capacity for rapid development; 2 – is independently organization; 3 – is high fault tolerance; 4 – is ability of application in different environment.

The results of research of architecture of sensory network of the special (military) setting are examined in the article, her basic descriptions, principles of functioning and methods of management of knot of network (as a base component of the applied mathematical providing of management the charges of resource) an energy consumption from the point of view of criterion of the least energy consumption. For introduction of methods of management of charges in the system of operative management a sensory network worked out her functional model on the platform of methodology of IDEF (Integrated Definition is integral exactness).
Approaches to the formation of an image database in the explosive ordnance identification system for further training of a neural network
Authors: Protsiuk Y. , Draglyuk O. , Palamarchuk N. , Kutsaiev Р. , Ovsyannikov V.
Published: June 2024

The use of unmanned aerial vehicles to detect explosive objects is a promising area of demining. Currently, a significant role in identifying detected objects remains with the operator (human). To solve the problem of identifying images of explosive objects, it is advisable to equip unmanned aerial vehicles or other robotic systems with appropriate software and hardware with built-in elements of artificial intelligence that would allow to recognize detected objects with a certain probability by their characteristic local features (shape/image, body material, body temperature) and classify them without operator participation.

Recognition consists in calculating the relevance measure between the descriptions of the object and the reference, whose images are given as sets of descriptor vectors, and optimizing the values of this measure for the reference database.

The article discusses the main algorithms (methods) for image identification and selects those that have higher performance and are built according to the binary type, which simplifies the calculation process and reduces costs.
In general, the combination of ORB and BRISK descriptors gives better results, since it takes into account color distortion, poor lighting, noise, and different projections.

The paper proposes approaches to forming a database of explosive ordnance images, which will further serve as an input layer for training a neural network to identify explosive ordnance. In the course of the work, a program code was written that makes it possible to test the performance of combined methods (algorithms) of image identification in terms of database formation, storage and testing.
Features computation diagram of annular direction antenna arrays what made on half-wave vibrators located above cylindrical surface.
Authors: Radzivilov H. , Ilyinov M. , Khomenko P.
Published: June 2024

The use of antenna-feeder devices, especially installed on moving objects, indicates the need to modernize and develop new type antenna devices to increase the efficiency of the radio communication system in conditions of active radio electronic suppression. One of the options for providing interference protection in communication channels with moving objects is the use of narrowly directed Smart antennas with a controlled directional pattern. Smart antennas, which are also called intelligent antennas, are one of the varieties of phased antenna arrays. Smart antennas use a set of radiating elements built in the form of grids. The most widespread are the ring antenna arrays, which are characterized by their compactness and great functionality.

The relevance of the task of designing Smart antennas is to reduce the total number of emitters without degrading the antenna parameters. This task is particularly important for antennas with circular radiation patterns in communication systems with moving objects.

The obtained results clearly show the possibilities of ring antenna arrays layout, depending on the radius of the antenna array and the radius of the cylindrical support, and under which conditions the geometric dimensions of the ring antenna arrays will preserve the coefficient of uniformity of the directional pattern. In order to reduce the number of vibrators in such antennas, the maximum distance between the vibrators is usually found, at which the uniformity of β directional diagrams does not decrease below a given level. To find the permissible distance, you can calculate the dependence of β on the radius of the grating directly when calculating the azimuthal directional diagrams of the antenna. To solve this problem, the external characteristics of the ring antenna arrays performed on half-wave symmetric vibrators in ideal conditions and vibrators placed over a cylindrical surface were considered.
EXPLORING VISUALIZATION TOOLS FOR BETTER INSIGHTS
Authors: B. Suchitra Dr. , V. Valarmathi Mrs.
Published: June 2024

As the name suggests, visualization is the representation of information in the form of chart,diagram and picture.In today’s world data visualization tool afford an manageable way to perceive and recognize inclinations and forms in data. The finest way in data visualization are first and foremost one should know the goal, have to use the correct set of data, have to keep visualization and dashboard to be modest, usage of right chart and colors. In this chapter, we will confer the top most visualization tools used in industry
DETAILED SURVEY OF SIGNATURE VERIFICATION USING MACHINE LEARNING APPROACHES
Authors: H S Prasantha Dr.
Published: June 2024

The signature of a person is one of the most common forms of biometrics that has applications in day-to-day life. A signature plays a vital role in indicating the identity of a person and providing any details about that person. Signature verification is a technique used to validate the identity of an individual. It is used in various industries, such as banks, intelligence agencies, and high-profile institutions. Despite being one of the earliest, most basic, and most popularly accepted methods for identification and verification, confirming the genuineness of a signature is particularly challenging. The signature doesn’t tend to be the same every time as there are numerous factors that are involved while signing, such as emotion and eye-to-hand coordination. Signature verification plays an important role in the banking sector, where the signature on the cheques has to be verified to complete the financial transaction. It is an important task, as people tend to forge signatures to initiate fake transactions and steal huge amounts of money.
LAC CULTURE: CULTIVATION, HARVESTING, PROCESSING AND VALUE ADDITION
Authors: Patil Pragati , Ravi Ramasamy , R Ashick Rajah
Published: June 2024

This chapter provides an in-depth exploration of Lac culture, encompassing the intricate processes of cultivation, harvesting, processing, and value addition associated with this unique natural product. Lac, a resinous secretion derived from the lac insect (Kerria lacca), holds significant economic and cultural importance in various industries worldwide. The chapter begins by elucidating the essential aspects of Lac cultivation, detailing the selection and maintenance of host trees, environmental conditions, and various techniques to encourage the growth and reproduction of the lac insect. Subsequently, the chapter covers the intricate process of lac resin processing. It outlines the steps involved in refining and purifying the raw resin, transforming it into commercially viable products with diverse applications.
FOOD ADULTERANTS AND XENOBIOTICS
Authors: Ranjeeta Palas Chatterjee Dr.
Published: June 2024

The book chapter on "Food Adulterants and Xenobiotics" unfolds a critical examination of the substances that find their way into the food we consume, posing potential risks to our health. It unravels the deceptive practices of food adulteration, where artificial colors, flavorings, preservatives, fillers, and pesticides infiltrate our meals. The chapter navigates through the types and sources of these adulterants, shedding light on their impact on nutritional quality and overall safety. Simultaneously, it explores the realm of xenobiotics, foreign substances like heavy metals and industrial chemicals that can contaminate our food chain. The chapter explains about the xenobiotics, its types and sources,the health implications, detection and analysis of food adulterants and xenobiotics, the regulatory measures and food safety standards, mitigation strategies for ensuring food safety and the future perspectives and challenges. The discussion spans the health implications of these additives and contaminants, encompassing acute toxicity, chronic health effects, and allergic reactions. To empower readers with awareness, the chapter outlines various detection and analysis methods, ranging from sophisticated laboratory techniques to rapid screening tests. It also emphasizes the regulatory measures and standards in place to ensure food safety. Offering a holistic view, the chapter serves as a practical guide, encouraging consumers to make informed choices, regulators to enforce stringent measures, and the food industry to prioritize the production of safe and unadulterated food for a healthier global populace.
MIGRATION STUDY OF FOOD PACKAGING MATERIAL
Authors: Balaji Jadhav , Mayuri Tipale
Published: June 2024

Consumers expect safety and quality from packing materials in addition to contamination protection and prevention. The extensive use of additives in the synthesis of food packaging materials increases the likelihood of migration into food ingredients. These migrants include monomers and oligomers, antioxidants, pollutants, pigments, and solvents, among others. The migration rate is influenced by factors such as packaging material contact time with food products, food composition, and storage temperature. The scientific community has taken notice of the health difficulties caused by the migration phenomena. As a result, its identification, quantification, and negative impacts on the human body must be addressed.
AGROFORESTRY FOR LIVELIHOOD AND SUSTENANCE IN KASHMIR VALLEY AND LADAKH
Authors: Dutt Vaishnu , Qaisar K. N. , Bhat G. M. , Mughal A. H. , Mohiuddin Jeelani Sofi Gh
Published: June 2024

Agroforestry practices in temperate regions are probably as old as agriculture itself, and it is considered as a way of life of traditional farmers, although systematic research on it started only about 35 years ago. Many of the traditional systems viz; shifting cultivation or slash-and-burn, home gardens and compound farms, forest gardens/agroforests, trees on farmlands (boundary plantings, scattered trees), parkland systems are base to maintain valued biological interactions and biodiversity at higher levels than some of the new agroforestry technologies (Leakey, 1998). Agroforestry provides opportunities to increase the value of total production through marketing of multiple products from a given unit of land. The traditional agroforestry systems identified in Kashmir Valley include; boundary plantations, agri-silviculture, horti-silvi-pasture, horti-agriculture, horti-agri-silviculture, home gardens, horti-pastoral and silvi-pastoral systems.
REVOLUTIONARY TRENDS IN FOOD AND TECHNOLOGY
Authors: Hema Kothari Dr.
Published: June 2024

This abstract explores the dynamic intersection of food and technologies, highlighting revolutionary trends that are reshaping the way we produce, consume, and experience food. The symbiotic relationship between these two domains is propelling innovations that not only enhance efficiency and sustainability but also redefine culinary experiences. The integration of cutting-edge technologies such as artificial intelligence, robotics, and precision agriculture is revolutionizing the food production landscape. Smart farming practices, enabled by data analytics and IoT devices, empower farmers to optimize resource utilization, reduce environmental impact, and ensure a more resilient food supply chain. Additionally, advancements in genetic engineering contribute to the development of crops with improved nutritional profiles and resilience to changing climate conditions. On the consumer front, technology is transforming how we select, purchase, and interact with food. From personalized nutrition apps to blockchain-based supply chain transparency, consumers are gaining unprecedented insights into the origins and qualities of the products they consume. Virtual and augmented reality applications are enhancing dining experiences, allowing individuals to explore new culinary worlds from the comfort of their homes. Furthermore, the rise of alternative proteins, cultivated in labs through cellular agriculture, presents a paradigm shift in addressing global food security challenges and reducing the environmental footprint of traditional livestock farming. The emergence of 3D printing in the culinary realm adds another layer of innovation, enabling chefs to craft intricate and customized food designs. As we navigate this era of revolutionary change, it is essential to consider the ethical, social, and cultural implications of these technological advancements. Striking a balance between progress and preserving traditional food practices is crucial to ensure a sustainable and inclusive future for the evolving relationship between food and technology. This abstract sets the stage for a comprehensive exploration of these trends, delving into their implications for agriculture, culinary arts, and the broader societal landscape.
DEVELOPMENT OF A DLNN MODEL FOR TRANSIENT STABILITY ASSESSMENT OF NIGERIA 28 BUS SYSTEMS
Authors: Obiajulu Onyemenam John , Kehinde Olulope Paul , Osaji Emmanuel , Ejenam Enemchukwu Victor , Ibikunle Francis
Published: June 2024

This article proposed using a deep learning neural network (DLNN) approach to forecast transient stability. Transient Stability Assessments (TSA) have long been acknowledged as being crucial for maintaining the reliable and protect operations of power systems. The complexity of power system dynamic features has increased because to the introduction of new components like power electronics, electric vehicles, and renewable energy sources, raising severe concerns among TSA. The development of renewable energy sources is currently having an impact on the reliability and security of the electrical network. Wide area monitoring systems have been used in the electrical system, producing large amounts of data that have ushered in new approaches to resolving these problems. Transient stability issues are attracting the attention of a wide range of stakeholders due to the potential for catastrophic outages. The goal of this project is to use data collection and DLNN to look for TSA problems in the electrical system. Data from the National Control Center (NCC) Oshogbo was used to mimic the Nigerian 28 Bus system in the DIgSILENT environment. In a Python context, a feature selection pipeline is built using the Relief-F feature selection method. To forecast transient stability on Python, the chosen feature will be fed into a particular form of DLNN. The DLNN reduces the time complexity of TSA, increasing accuracy. The accuracy value produced for the Nigeria 28 bus system is 90.16 percent once the system converges after 31 epochs. The IEEE 9 bus test system is used to validate the DLNN approach, which is used to evaluate transient stability. The outcome of this work is compared with similar work in the conclusion in terms of some evaluation performance.
THE FUSION OF SPORTS AND TECHNOLOGY: USHERING IN A NEW ERA OF ATHLETIC EXCELLENCE
Authors: Mahajan Prof. Dr. Kirti , Pal Amitava
Published: June 2024

The convergence of sports and technology is orchestrating a transformative shift that is redefining the world of athletics. This fusion brings together the precision of analytics, the insights of artificial intelligence (AI), the immersive dimensions of virtual realms, and the sustainability of innovative solutions, culminating in a revolution that not only elevates athlete performance but also engages fans in unprecedented ways. This abstract delves into the dynamic interplay between sports and technology, illuminating pivotal aspects such as data-driven innovation, immersive experiences, and sustainable advancements. As the once-distinct boundaries between physical prowess and technological marvels dissolve, this transformative partnership promises to reshape the sports landscape, forever changing the trajectory of competition, fan interaction, and the holistic well-being of athletes.
SCOPE OF INDUSTRIAL INTERNET OF THINGS IN MANUFACTURING INDUSTRY: CHALLENGES,RECENT TRENDS AND APPLICATIONS
Authors: Varghese Nisha , Shereef Shafi
Published: June 2024

The Industrial Internet of Things (IIoT) refers to the network of interconnected industrial devices, machines, sensors, and other equipment that collect, exchange, and analyze data to improve industrial processes and decision-making. The importance of IIoT lies in its transformative potential for various industries and the broader economy. The current article explores through the role of IoT in the Industry, the structure and components of the IoT, distinct features of IIoT, the various layers of the IoT such as Perception Layer, Network Layer, Processing Layer and Application Layer. The perception layer incorporates the various sensors that plays a leading role in data collection. Network layer contains the various technologies in the network connectivity. The processing Layer process the data collected by the sensors and analyze to generate insights and support decision-making and the application layer is responsible for presenting the insights generated by the Processing Layer to end-users in anefficient way. The objective of the article is to elaborate the impact of IoT in the manufacturing sector and various factors associates with Manufacturing sector including various platforms that facilitating the collaborative harmony with human.