bluuebunny/crossref_metadata_2025 huggingface dataset:
Komunikasi Interpersonal Terhadap Hubungan Long Distance Relationship Pada Mahasiswa yang Melaksanakan Kegiatan Kuliah Kerja Nyata (KKN)
Authors: Aditya Lukman
Published: January 2024

It cannot be denied that interpersonal communication is the most important foundation in learning to promote romantic relationships, especially for couples in long-term long distance relationships (LDR) who usually have open, honest and mutually supportive communication. Moreover, for couples who are dating, fulfilling obligations related to completing Real Work Study (KKN) has significant differences in challenges starting from the environment, speed, other parties involved in creating an LDR relationship plus unique phenomena such as love of place. The aim of this research is to find out how the communication that occurs between couples during this time directs long distance relationships to real work (KKN) maintaining harmonious relationships and avoiding various conflicts. Learn to use qualitative research methods, phenomenological interpretive paradigms and approaches and data collection techniques, namely. deep interview. The theory is the relationship maintenance theory used in this research and a relational dialectic theory.
Analysis of the pharmaceutical market for sorption drugs in Russia and the European Union
Authors: Popova O. S.
Published: January 2024

Pharmaceutical companies face global competition, economic instability, regulatory restrictions, rising costs, patent restrictions and generic drug production. Despite the fact that the most important conditions for the release of analogues within reference countries and registration of drugs for bioequivalence are commercial factors, a clear regulatory framework and post-marketing data are required. The purpose of this work is an international review of enterosorbents based on the active substance in Russia and other EU countries, an overview of the modern veterinary market and a reflection of development trends in the pharmaceutical market for this group of drugs. The evaluation included both medicinal products and feed additives. To evaluate medicines and feed additives of the sorbent group, by active ingredients, we analyzed the Unified Register of Registered Medicines of the Eurasian Economic Union [4], the Register of Registered Medicines for Use in Veterinary Medicine, Diagnostic Systems, Means for Antiparasitic Treatments of Animals and Feed Additives. During the research, methods of statistical analysis and content analysis were used. Based on data from state registers of Medicines for veterinary use in Russia (URL: https://galen.vetrf.ru), Belarus (URL: http://www.dvpn.gov.by), Kazakhstan (URL: https:// gov.kz) and Armenia (URL: http://www.pharm.am). Thus, after conducting statistical analysis and content analysis, it was concluded that the distribution of drugs depends primarily on the needs of the market of a given country and the solution of the tasks assigned to doctors and production. Thus, a large number of feed additives, which contain sorbents, are registered in the Russian Federation, and are completely absent in the Republic of Armenia.
Study of acute toxity and wound healing effect of the complex ointment «Uberosept»
Authors: Peregonchiy A. R. , Cheskidova L. V. , Bryukhova I. V. , Pavlenko O. B.
Published: January 2024

The design of drugs that allow the unlimited use of animal products is an important area of veterinary pharmacology. In this regard, in the production of a new complex ointment intended for treating the skin of the udder of cows, natural components were selected. The formula for “Uberosept” ointment includes ichthyol, pine resin and camphor. One of the important stages of preclinical study of new drugs is to identify their toxic properties and evaluate their efficacy. Therefore, the purpose of our work was to determine the toxicity class and study the wound-healing effect of “Uberosept”. The acute toxicity of “Uberosept” ointment was tested during intragastric administration using a fixed dose method (GOST 32296-2013) on female white mice. The wound healing effect was studied in a full-thickness skin wound model in female rats. It has been established that “Uberosept” ointment can be classified as hazard class 5. When administered intragastrically at a maximum dose of 5000 mg/kg during the first 30 minutes and the next 14 days, no signs of intoxication were detected in all experimental mice.
Prospects for the application of pharmacoeconomic analysis in veterinary
Authors: Popova O. S.
Published: January 2024

Currently, the healthcare system of the Russian Federation and veterinary legislation are undergoing a stage of systemic changes in order to meet modern requirements and fulfill the tasks assigned to it. More than 100 new medicines are registered every year, and the demand for veterinary services in large cities is increasing. There is a need to find the optimal therapy at the lowest price. Pharmacoeconomics offers various methods that help select the best treatment option that is the most cost-effective. This contributes to capacity building as it helps optimize the resources needed by organizations and communities and various commissions to adapt and improve their capabilities. The purpose of our study was to study the main indicators and existing methods for assessing the effectiveness of a drug from an economic point of view. The main methods adopted in different countries and validated are QALY, EuroQoL group questionnaire. Thus, in medical articles, such indicators as Cost-utility analysis, Willingness-to-pay threshold, Budget impact analysis are often found. Our recommended set of guidelines can become the basis for further discussion and help determine the final set for official inclusion in the Russian regulatory framework for assessing the use of pharmacological agents in veterinary medicine. This recommendation will be useful both for the manufacturers themselves, and for experts who are members of the authorities that control pharmaceutical turnover in the Russian Federation. Which in the future will serve as the foundation for creating a common basis for the EAEU countries in the system of circulation of medicines in veterinary practice.
Effect of interferon lambda on the generation of active oxygen species in mice under conditions of oxidative stress induced by Mitomycin C
Authors: Vostroilova G. A. , Khokhlova N. A. , Shabanov D. I. , Korchagina A. A. , Morozova D. D. , Nekrasov A. V.
Published: January 2024

This research was aimed at studying the effect of species-specific recombinant bovine interferon lambda (IFN-λ) on the generation of reactive oxygen species (ROS) in mouse liver and bone marrow cells under conditions of mitomycin Cinduced oxidative stress. The experiment included female white laboratory mice. There were formed four groups of 6 animals each: the negative control group (group I); the group of mice that received a three-fold injection of IFN-λ at a dose of 0.1 ml/kg (group II) and mice that, in addition to IFN-λ, were administered a cytotoxic drug that induced free radical oxidation processes - mitomycin C at a dose of 10 mg/kg (group III), as well as the animals receiving only mitomycin C (group IV). We studied the concentration and viability of a cell suspension obtained from the liver of mice, as well as the relative content of intracellular ROS in the liver and bone marrow cells of animals, assessed by the fluorescence intensity of the oxidized form of 2',7'-dichlorodihydrofluorescein diacetate. The concentration and viability of cells in the liver suspension of healthy mice did not change with the introduction of IFN-λ (group II), indicating the absence of a toxic effect of IFN-λ on these cells. An increase in the level of ROS in the studied cells was detected when IFN-λ was administered to mice of group II (an increase in the level of ROS by 1.3 times in liver cells and by 2.9 times in bone marrow cells, relative to the mice of group I) and a decrease in the level of ROS in the mice under conditions of oxidative stress induced by mitomycin C (reduction in the content of intracellular ROS by 1.9 and 7.2 times in liver and bone marrow cells in the animals of group III, relative to the mice of group IV). The presented changes may indicate the normalization of IFN-λ redox balance in the body and, probably, appear in connection with the immunomodulatory activity of IFN-λ.
Validity of pig lung culling by veterinary rules of animal slaughter NO. 68718 DATED 06/02/2022
Authors: Kudryashov A. A. , Ovchenkov I. A. , Balabanova V. I.
Published: January 2024

The purpose of the study is to determine the validity of culling of pigs with morphological changes that occur when stunned before slaughter by carbon dioxide, according to Veterinary Rules of animal slaughter No. 68718 02.06.2022. As the research material, lung samples of 8 healthy slaughter pigs aged 6.5-7.5 months, weighing 95-105 kg, including 3 pigs stunned by electric shock, and from 5 pigs that were stunned by carbon dioxide were used. The samples were fixed in a 10% solution of neutral formalin. Histological sections were made, they were stained with hematoxylin and eosin. In the lungs of 3 pigs, which were stunned with electric shock and then exsanguinated, during post-slaughter examination, a uniform staining of the organ in light red color, elastic consistency was established, which corresponded to a normal lung. In the lungs of 5 pigs, which were stunned with carbon dioxide and then exsanguinated, heterogeneous staining was established during post-slaughter examination; there were areas of dark red color and compacted consistency, frothy liquid was released from the surface of the incision. In histological preparations of the lungs of pigs that were stunned with carbon dioxide, edema of the alveoli and congestive hyperemia of blood vessels were detected, which should be recognized as the result of insufficient exsanguination. In histological preparations of the lungs of pigs, which were stunned with electric shock, fullness of blood vessels and pulmonary alveolar edema were found. The rules of veterinary and sanitary examination do not indicate the culling of lungs with hyperemia and edema, that is, they are not subject to disposal and destruction. Assuming the exact execution of directive documents and careful treatment of animal slaughter products, it makes sense to officially recognize such lungs as either subject to destruction or suitable for a certain use.
Problems of legal regulation of accommodation of animal by-products
Authors: Shukhov F. G. , Ryzhakova A. M. , Orekhov D. A. , Vinokhodova M. V.
Published: January 2024

The issue of circulation of livestock by-products is currently a topic for discussion and consideration in the field of agriculture. There are inaccuracies in the legal aspect, which also occur after the adoption of a number of regulatory legal acts. These points require careful consideration and require some recommendations aimed at correcting the difficulties that have arisen, which are reflected in judicial practice. This work examines the main body of laws, derives the definitions given in them from the point of view of long-term development to the best interpretation, and also provides a clear vector for research on the topic of shortcomings, touching on the topic of turnover of life expectancy and its connection with actively functioning personal subsidiary plots. We also show the opportunity for owners of private household plots to pay attention to recent changes in legislation in order to prevent possible offenses. At the moment, small and medium-sized enterprises in the livestock sector find themselves in a difficult situation, and therefore we offer a possible option for resolving difficult inconsistencies that arise.
Bacillus anthracis toxins and their role in the pathogenesis of the disease
Authors: Rodionov A. P. , Ivanova S. V.
Published: January 2024

The review article presents the relevant results of comprehensive studies aimed at studying the toxins of Bacillus anthracis. The structural features of protective antigen, lethal and edematous factors are shown. The mechanism of translocation of a complex of toxins into the cytosol of the cell is presented. The orientation of the action of lethal and edema toxins on the cells of a susceptible organism and the mechanisms of their cytotoxicity are analyzed. The mechanisms of action of toxins in the early and systemic stages of infection are described. Issues have been identified regarding the interaction of toxins with target cells and their effects on various organs and tissues of the macroorganism, which require further in-depth studies.
The use of modern medicines forthe treatment of mastitis and increase of general resistance the body and immune system in lactating cows
Authors: Tselueva N. I. , Gamayunov V. M.
Published: January 2024

The article presents an analysis of the work carried out on the basis of dairy farms in the Smolensk region for the period from 2008 to 2022. The application of new antimastitis drugs annually was carried out in order to prevent the formation of resistant strains of microorganisms, the main causative agents of mastitis and the selection of modern medicines for highly effective therapy of breast disease, as well as to create stable immunity and general resistance of the organism of lactating cows. Over the years of research, the high therapeutic efficacy of medicinal products was observed in the range of 82.3 - 98.2% and was evaluated in three days of treatment of cows with mastitis. Among the medicines used, the most effective were colimast and multiject 98.2% (2017), primalact 96.7% (2020), mastinone 95.0% (2019). When the were used, the signs of the inflammatory process of the mammary gland disappeared gradually, but by the 3rd day of treatment, milk secretion was completely restored and the condition of the animal as a whole improved significantly.
Classification of Hate Comments on Twitter Using a Combination of Logistic Regression and Support Vector Machine Algorithm
Authors: Damayanti Nabila Putri , Prameswari Della Egyta , Puspita Wiyanda , Sundari Putri Susi
Published: January 2024

This research was conducted to increase accuracy in classifying sentences containing hate speech and non-hate speech on Twitter. This is important to do because, as technology develops, it also comes with negative impacts, one of which is hate speech. This classification is carried out using a combination of Logistic Regression (LR) and Support Vector Machine (SVM) methods. This combination is based on the ease of implementation and speed of LR as well as SVM's ability to handle more complex and non-linear data. In this context, LR is used to model the probability that a comment on Twitter contains hate elements or not. The model can then provide probability predictions for each class, and a threshold can be set to determine the final class. This research shows that combining these methods can build a good classification model with an accuracy of 96%.
O OVISNOJ LIČNOSTI – POVEZANOST OSOBINA LIČNOSTI I MEHANIZAMA ODBRANE KOD (ZLO)UPOTREBE SUPSTANCI
Authors: Sulejmanović Dijana , Handanagić Azra
Published: January 2024

Bolesti ovisnosti su među vodećim i najozbiljnijim problemima u svijetu danas, s obzirom na posljedice koje ostavljaju na pojedinca i društvo uopće.

Cilj ovog istraživanja bio je ispitati postoji li povezanost između osobina ličnosti i odbrambenih mehanizama kod kliničkog i nekliničkog uzorka, odnosno između ovisnika i korisnika psihoaktivnih supstanci.

Uzorak je bio sastavljen od muškaraca starosti između 18 i 60 godina pri čemu je prosječna starost kliničkog uzorka (N=30) bila M=38.9 (SD=10.83) godina, a kod nekliničkog (N=100) M=37.16 (SD=6.78).

Korišteni instrumentarij sastavljen je od DSQ-40 Upitnika mehanizama odbrane i BFI-10 Inventara ličnosti te kratkog sociodemografskog upitnika.

Rezultati istraživanja pokazuju da postoji statistički značajna i pozitivna korelacija između korištenih zrelih mehanizama odbrane i dimenzija ličnosti Ekstravertiranost, Savjesnost i Otvorenost, između neurotičnih mehanizama i dimenzija ličnosti Ekstravertiranost i Otvorenost, dok je nađena negativna korelacija između nezrelih mehanizama odbrane i dimenzije ličnosti Ugodnost.

Također, klinički i neklinički uzorak se statistički značajno razlikuju na ličnosnim dimenzijama Ekstraverzija i Susretljivost te u mehanizmima odbrane kojima se koriste.
USVOJENJE KAO OBLIK PORODIČNO-PRAVNE ZAŠTITE DJECE
Authors: Družić Sena , Ćoralić Zehra
Published: January 2024

Među najprihvaćenije vidove zaštite djece bez roditeljskog staranja svakako spada usvojenje. Usvojenje predstavlja kvalitetan vid zaštite djece bez roditeljskog staranja. Usvojenjem se zasnivaju, za dijete, posebno bitni odnosi koji imaju neprocjenjivu vrijednost u djetetovom odrastanju. Predstavljaju jedan od njegovih najboljih interesa. Usvojenje mora biti u djetetovu korist, odnosno mora poštovati međunarodno prihvaćeni princip zaštite najboljeg interesa djeteta. Djeca bez roditeljskog staranja su jedna od najugroženijih kategorija u našem društvu te je neophodno razviti oblike zaštite u interesu svakog djeteta. Smještaj djeteta u drugu porodicu je cilj socijalnih službi, ali i socijalnih pedagoga, jer se smatra kao najbolji oblik zbrinjavanja kojim se stvara pozitivno porodično okruženje za svako dijete.

Rad je metodološki postavljen, da kroz teorijska istraživanja predstavi važnost informisanja o usvojenju djece bez roditeljskog staranja. Kroz izradu rada istražit će se i pojasniti pojam  „usvojenje“, kao i zakonski okvir usvojenja. Objašnjavaju se pretpostavke za zasnivanje usvojenja kao i sami postupak i vrsta usvojenja. S aspekta islama, obrađuju se odnosi roditelja i djece, kao i propis usvajanja i odgajanja jetima. U radu se prikazuje, i  kako dijete doživljava posvojenje, važnost pripreme djeteta i svih ostalih sudionika za posvojenje te ulogu socijalnog pedagoga  u tom procesu pripreme.

Zadatak socijalnog pedagoga je da djecu upozna sa zakonima i svemu onom na što oni polažu svoja prava, kao i pomoć usvojiteljima i njihovim preprekama. Istraživanje na ovu temu posjeduje dozu stručnog i naučnog doprinosa koja može pomoći budućim socijalnim pedagozima u radu s djecom bez roditeljskog staranja.
STAVOVI STUDENTICA ISLAMSKOG PEDAGOŠKOG FAKULTETA U ZENICI O DJECI I PORODICI
Authors: Adilović Muharem , Smajlović Ahmedina
Published: January 2024

Bosanskohercegovačko društvo karakteriše brz demografski razvoj koji se ogleda u trendovima izrazitog pada nataliteta, stope fertiliteta koja je ispod granice proste reprodukcije, drastičnog pada stope formalnog sklapanja brakova, odlaganja sklapanja braka za kasnije godine i rađanja prvog djeteta, značajnog porasta izvanbračnih zajednica (kohabitacija), te porasta izvanbračnog rađanja djece i jednoroditeljskih porodica. Mladi danas imaju veće preferencije prema obrazovanju, materijalnoj sigurnosti, nakon toga se posvećuju porodici. Uzevši u obzir navedeno, predmet istraživanja su stavovi studentica prema braku i porodici. U ovom radu daju se rezultati istraživanja provedenog među studenticama Islamsko pedagoškog fakulteta u Zenici u periodu april–maj 2023. godine. Cilj istraživanja jeste u kontekstu niskog fertiliteta u Bosni i Hercegovini ispitati stavove studentica, koje se spremaju za ulazak na tržište rada prema mjerama porodične i populacijske politike. Naučni cilj istraživanja odnosio se na potrebu sticanja saznanja koja će omogućiti jasnije shvatanje i razumijevanje braka i porodice od strane mladih osoba. Dobijeni rezultati pokazuju da istraženi uzorak ženske studentske populacije ima jasno izražene stavove o pitanjima koja se tiču braka, porodice i mjera porodične politike. Rezultati ukazuju na potrebu koncipiranja bolje populacijske pronatalističke politike, u smislu poboljšanja dječijih dodataka, porodiljskih naknada i drugih jednokratnih porodičnih naknada, porodiljski dopusti za oba roditelja, poticajnu stambenu, kreditnu i poreznu politiku, sveobuhvatnu zdravstvenu zaštitu majke i djeteta, diferenciranu politiku cijena za određene proizvode za djecu, fleksibilno radno vrijeme za majke s djecom do određene dobi, te druge materijalne i nematerijalne olakšice za djecu.
OSOBENOSTI DIJALOGA DŽA'FERA B. EBU TALIBA S NEDŽAŠIJOM
Authors: Julardžija Enes
Published: January 2024

Konkretni primjeri iz života Poslanika, sallallahu alejhi ve sellem, i njegovih ashaba, radijallahu anhum, predstavljaju najbolju osnovu na kojoj treba graditi svoje stavove u vremenu našeg življenja. Nema osnove dovoditi u pitanje mogućnost primjene modela kojeg  su oni implementirali u svojim komunikacijskim nastupima. Jedan takav primjer je dijalog Dža'fera b. Ebu Taliba s abesinskim kršćanskim vladarom Nedžašijom. Ovaj primjer predstavlja jasan model dijaloga muslimana s nemuslimanom i najbolje oslikava ciljeve i osobenosti takvog dijaloga. Dža'fer b. Ebu Talib je, kao vrstan retoričar, dobar komunikator, s jasnim ciljem nastupio prema Nedžašiji. To je, u konačnici, rezultiralo njegovim prelaskom na islam.

Ovaj rad osvjetljava historijski kontekst u kojem se dijalog odigrao kao i njegove osobenosti, kroz hadis Ummu Seleme, radijallahu anha.
ANALISIS PENDAPATAN PETERNAK AYAM PETELUR (CV. MITRA BINA MANDIRI GROUP DI DESA BULO, KECAMATAN PANCA RIJANG, KABUPATEN SIDENRENG RAPPANG)
Authors: Nasir Auliya Shabilah , Nugraha Angga , Muh. Irwan
Published: January 2024

Tujuan penelitian ini yaitu untuk mengetahui besar pendapatan dan untuk mengidentifikasi faktor-faktor yang mempengaruhi pendapatan peternak ayam di CV. Mitra Bina Mandiri Group di Desa Bulo, Kecamatan Panca Rijang, Kabupaten Sidenreng Rappang. Sampel pada penelitian adalah CV. Mitra Bina Mandri yang berlokasi di Desa Bulo, peneliti memilih CV. Mitra Bina Mandiri Group sebagai lokasi penelitian karena CV. Mitra Bina Mandiri Group merupakan perusahaan peternakan ayam petelur paling eksis dari tahun 2003 hingga sekarang, sementara disisi lain banyak usaha ayam petelur yang terpaksa gulung tikar dikarenakan dinamika pasar yang fluktuatif. Peneliti menggunakan metode wawancara kepada peternak di CV. Mitra Bina Mandiri, jenis data yang digunakan adalah data primer dan sekunder. Metode analisis yang digunakan adalah analisis pendapatan (Pd = TR – TC) untuk mengetahui besar pendapatan di CV. Mitra Bina Mandiri. Hasil penelitian menunjukkan bahwa pendapatan rata-rata CV. Mitra Bina Mandiri Group dalam 1 periode ternak ayam yakni Rp. 30.741.733.808 dengan jumlah populasi ayam 120.000 ekor. Adapun faktor-faktor yang meliputi jumlah ternak, jumlah produksi, pakan dan tenaga kerja secara bersama-sama mempengaruhi hasil pendapatan usaha ayam petelur.
KONTRIBUSI NILAI EKONOMIS LAHAN PEKARANGAN TERHADAP EKONOMI RUMAH TANGGA DI KELURAHAN KADIDI (STUDI KASUS KELOMPOK WANITA TANI ASOKA)
Authors: Fitriani  , Haeruddin Muhammad Harum , Ardiansyah Muh. , Daryuni  , Fitria
Published: January 2024

Usahatani lahan pekarangan bukan hanya berfungsi sebagai sumber ekonomi melainkan juga memberi sumbangan sosial di masyarakat dan sebagai ajang silaturahmi antar masyarakat di Kelurahan Kadidi melalui Kelompok Wanita Tani Asoka dan sebagai sarana bertukar informasi tentang usahatani yang mereka lakukan. Tujuan penelitian ini untuk mengetahui besarnya kontribusi nilai ekonomis pemanfaatan lahan pekarangan terhadap ekonomi keluarga. Teknik pengumpulan data menggunakan metode survey dan wawancara. Teknik analisa data yang digunakan adalah analisis kuantitatif. Hasil penelitian usahatani lahan pekarangan memberikan sumbangan pendapatan sebesar Rp.4.430.000/Periode Tanam dan berkontribusi sebesar 14,5 % dari total penerimaan keluarga.
Digital Marketing Sebagai Strategi Pemasaran Perikanan di Desa Sathean
Authors: Maria Ngabalin Anna
Published: January 2024

Pandemi covid-19 telah menghadirkan berbagai tantangan khususnya bagi Nelayan sebagai pelaku UMKM. Cara melakukan pemasaran online dari offline memaksa UMKM untuk dapat mengikuti perubahan tersebut. Saat ini, Data yang dirilis Asosiasi Penyelenggara Jasa Internet Indonesia (APJII) menunjukkan sebanyak 87% usaha mikro, kecil, dan menengah (UMKM) di Indonesia telah menggunakan internet dalam berbisnis. Tujuan penelitian ini adalah untuk mengetahui apakah penerapan digital marketing dapat digunakan oleh Nelayan pada Desa Sathean dan apa kendala yang dihadapi saat menerapkan digital marketing. Penelitian ini menggunakan metode kualitatif dengan menggunakan wawancara terstruktur, wawancara mendalam, dan observasi terhadap pelaku usaha. Hasil penelitian menunjukkan bahwa pemanfaatan digital marketing dilakukan dengan memposting produk di media sosial seperti Facebook dan status Whatsapp belum maksimal dan Kendala yang dihadapi dalam menerapkan digital marketing adalah masalah internal yakni kurangnya SDM pada Nelayan sebagai pelaku usaha dalam pelaksanaan promosi di media social serta koneksi internet yang belum stabil.
Technology for the production of Lyophilizate of an association of Lactic acid bacteria included in the Medicinal product AS-Probionorm
Authors: Sadanov A. K. , Gavrilova N. N. , Ratnikova I. A. , Orazymbet S. E. , Protasiuk L.E. , Massirbaeva A. D.
Published: January 2024

The study aims to develop the technology of producing lyophilizate association of lactic acid bacteria included in the AS-Probionorm medicinal product. The association for obtaining the lyophilizate includes the following cultures of microorganisms – Lactobacillus fermentum 30 +Lactobacillus cellobiosus 36. It is found that to obtain a lyophilizate of the association of lactic acid bacteria included in AS-Probionorm, the best medium for cultivation is MRS with CoCl2. The optimal variant of lyophilic drying involves shelf temperature equalization (+20°C) – 5min, freezing (-30°C) – 10h, freezing (-60°C) – 5h, vacuum – 0.2mbar, drying 1(-26°C) – 6h, drying 2(+20°C) – 18h, drying 3(+30°C) – 2h with the entire process lasting at least 26hours and the final product temperature being +(25-27)°C. This procedure produces lyophilizates of the lactic acid bacteria association with high indicators of bacterial viability and antagonistic activity upon drying and after storage. Following the developed technology, the production of this effective probiotic drug against intestinal and associated infections will be established in Kazakhstan for domestic use, as well as for export to other countries.
Comparative evaluation of physicochemical, qualitative and chromatographic profile of unprocessed and processed Cannabis sativa L (Bhanga) leaves
Authors: Dilip Tavhare Swagata , Acharya Rabinarayan , Vaghora Bhagyashri , Shukla Vinay
Published: January 2024

Background: Cannabis (Bhanga) has been extensively explored in research for therapeutic benefits. Out of 80+ phyto-cannabinoid detected till date; out of which Tetrahydrocannabinol (THC), Cannabidiol (CBD) and Cannabinol (CBN) are therapeutically important. Psychotropic concern about cannabis is a majorly attributed to THC presence. For reducing intoxicant effect, Ayurveda recommends processing (Shodhana) of cannabis. Objectives: To evaluate impact of cannabis leaves processing techniques through pharmacognosy, photochemistry and chromatography. Material and methods: Four different processing methods; namely water-immersion (Jala-nimajjana) (JN), water-wash (Jala-prakshalana) (JP), boiling in cow’s milk (Godugdha-Swedana) (GS) and boiling in decoction of Acacia arabica (Babbul twak Kwatha-Swedana) (BKS) were performed as mentioned in Ayurveda classics. Water and ethanol extract of respective sample and processing media were prepared. Processed samples were evaluated for physicochemical, qualitative and chromatographic studies (HPTLC) and comparative evaluation was done against markers THC, CBD and CBN. Results: Processed samples showed variation in physico-chemical parameters. Functional groups like carbohydrates, phenols and steroids retained after processing in all samples. Additionally; protein and tannin groups were found in samples processed by GS and BKS method. Processing of cannabis reduced THC, CBD and CBN from samples and which transferred to media as quantified through HPTLC. In GS method, no maker visualized through HPTLC. This may be due to changes in nature of molecules caused by boiling. Reduction of THC found highest in JP (31%) followed by JN (18%) and BKS (16%) method. Conclusion: Processing showed changes in physicochemical parameters of cannabis leaves and reduces its THC content;thus; reducing its intoxicant effect without altering presence of functional group.
Power Quality Improvement based on VSHDE Algorithm Incorporating Shunt Active Power Filter
Authors: Mahesh Babu B. Et al.
Published: January 2024

The usage of the word Power quality in recent times acquired intensified interest due to the complex industrial processes. The usage of intelligent tools to improve power quality is increasing day by day, as assumption of present day power system as a linear model is unsatisfactory. This paper deals with analysis of Differential Evolution (DE), Hybrid Differential Evolution (HDE) and Variable Scaling Hybrid Differential Evolution for harmonic reduction in the source current with optimal tuning of PI controller gain values. Shunt Active power Filter is one of the better solution to suppress the source current harmonics which are induced into power system because of nonlinear loads. Current controller called HBCC is considered for gating operation of switches in Voltage Source Inverter. The Intelligent tuned PQ theory is used for reference current generation. The then obtained compensating currents are injected at point of common coupling for current disturbance mitigation. Simulations of MATLAB/SIMULINK environment of the present work shows the efficacy.
Evaluating the Isolation Forest Method for Anomaly Detection in Software-Defined Networking Security
Authors: M Sri Lakshmi Et al.
Published: January 2024

The research addresses the critical anomaly detection problem in Software-Defined Networking (SDN), a domain where network integrity and security are paramount. Employing the Isolation Forest algorithm, a machine learning model renowned for its efficacy in identifying outliers, the study systematically generates synthetic network traffic data to train and test the model's detection capabilities. The methodology encompasses simulating a range of contamination rates to reflect varying degrees of anomalous activities within the network. Key findings indicate that while the model exhibits potential in anomaly detection, as reflected by the progressive increase in triggered alerts and policy changes, its performance metrics, such as precision, recall, F1-score, and AUC, reveal limitations in its current application. The research contributes to the field by providing a detailed analysis of the Isolation Forest algorithm's performance in an SDN context and laying the groundwork for future enhancements in machine learning-based security measures within these networks.
Generative Adversial Network Approach for Cartoonifying image using CartoonGAN
Authors: Roshani Raut Et al.
Published: January 2024

This research paper aims to discuss the conversion of images into cartoons using NPR algorithms. The goal of NPR is to create images that appear to have been produced by traditional artistic media such as painting, drawing, or cartoons. In this paper, we discuss the NPR algorithm used for converting images into cartoons, including edge detection, color simplification, and shading techniques also discuss the advantages and limitations of the NPR algorithm for cartoon image conversion. The proposed method consists of three main steps: training a GAN model, generating cartoon images using the trained GAN model, and stylizing the generated cartoon images using K-means clustering algorithm. In the first step, a GAN model is trained on a dataset of real images and corresponding cartoon images. The generator network of the GAN model takes a noise vector as input and generates a cartoon image. The GAN model is trained using adversarial loss, which encourages the generator network to generate cartoon images that are similar to the corresponding real images. In the second step, the trained GAN model is used to generate cartoon versions of real images. The generated cartoon images are then segmented into regions using K-means clustering algorithm. The segmented regions are then stylized using the colors from the corresponding clusters. In the third step, the stylized regions are combined to generate the final cartoon image. The proposed method is evaluated on a dataset of real images and corresponding cartoon images. The results show that the proposed method outperforms the state-of-the-art methods regarding visual quality and quantitative metrics. The visual quality of the generated cartoon images is also evaluated using human perception studies, which shows that the proposed method produces cartoon images that are visually appealing and similar to the corresponding real images.
Smart Data Management in IoT: Leveraging Wireless Sensor Networks for Efficient Information Processing
Authors: Madhu M Nashipudmath Et al.
Published: January 2024

The exponential growth of the Internet of Things (IoT) has resulted in an unprecedented surge in data, requiring the development of innovative methods to effectively handle and analyze information.   This study investigates the [1]management of data in a smart manner within the IoT framework. It specifically examines the utilization of Wireless Sensor Networks (WSN) to accomplish effective information processing. The study examines two main elements: the utilization of Run-Length Encoding (RLE) for data compression and the incorporation of energy-aware extensions into the Ad Hoc On-Demand Distance Vector (AODV-EA) routing protocol.  The purpose of employing Run-Length Encoding (RLE) is to enhance the efficiency of transmitting and storing data by effectively representing recurring sequences in sensor data. This compression technique is especially applicable for resource-constrained WSN where the conservation of bandwidth and energy is of utmost importance. The study investigates how communication protocols can be improved by integrating energy-conscious extensions into AODV. The objective of this approach is to enhance the energy efficiency of communication in WSN by taking into account the energy levels of each node in real-time when establishing routes. The NS-3 simulation framework is used to assess the proposed methodologies. NS-3 offers a flexible and expandable framework for simulating communication protocols and network scenarios. The study evaluates the performance of the integrated system by using simulation and analyzing important metrics such as accuracy, precision, Latency, data compression and energy efficiency. The research findings provide valuable insights into the field of Smart Data Management in IoT, demonstrating how the combination of data compression and energy-aware routing protocols can improve the efficiency of Wireless Sensor Networks for information processing.

General Terms:: Internet of Things, Wireless sensor network, Sensor data, Ad Hoc On-Demand Distance Vector.
Design of Hotel Room Experience Based on Virtual Reality Technology
Authors: Jun Wang Jun Wang
Published: January 2024

Virtual reality (VR) technology within the hotel industry marks a transformative shift in the way guests experience and engage with hospitality services. Virtual reality, with its immersive and interactive capabilities, enables hotels to provide a novel and engaging environment for guests. From virtual tours of hotel rooms and amenities to immersive experiences showcasing local attractions and cultural highlights, VR has the potential to revolutionize the pre-booking and on-site guest experience. This paper focused on the user experiences within hotel rooms enhanced with virtual reality (VR) technology. Leveraging content analysis, sentiment analysis, and advanced classification models, we aim to unravel the intricacies of user sentiments and preferences in this evolving domain. The content analysis reveals a spectrum of user opinions, ranging from enthusiastic endorsements of immersive VR content to nuanced critiques of room ambiance and interactivity. Subsequently, a sentiment analysis model accurately categorizes these sentiments, showcasing its effectiveness in capturing the diverse user expressions. Our classification analysis demonstrates the robustness of the sentiment analysis model, with high accuracy, precision, recall, and F1-score metrics. Comparatively, we introduce a proposed BERT model, harnessing advanced natural language processing techniques, and observe its performance against traditional sentiment analysis and an AutoEncoder Model. The results indicate that the BERT model matches the performance of traditional sentiment analysis, outperforming the AutoEncoder Model. This underscores the effectiveness of leveraging state-of-the-art language models in understanding and classifying user sentiments.
Diabetic Retinopathy Detection using Deep Learning
Authors: Deepak Mane Et al.
Published: January 2024

Diabetic Retinopathy threatens vision in diabetics, necessitating swift and accurate detection. This study employs Convolutional Neural Network (CNN), ResNet50, and InceptionV3 for automatic DR identification, achieving a notable 96.18% accuracy over 80 epochs. To enhance robustness, a pre-processing pipeline incorporates Gaussian filtering, CLAHE, median filtering, and top-hat filtering, significantly advancing DR detection accuracy. Evaluation on the APTOS 2019 dataset (1299 training, 279 testing images) reveals great accuracy as well as sensitivity, and specificity, forming a basis for early intervention and vision impairment prevention. This research at the nexus of DL which is also known as deep learning and medical image analyze offers a promising solution for early DR detection. The 96.18% accuracy demonstrates practical viability, positioning our approach as a valuable tool for healthcare practitioners and ophthalmologists in effectively diagnosing and managing diabetic retinopathy.
QoS-Aware Routing and Resource Allocation Techniques for Enhanced Network Performance
Authors: Pradeep Kundlik Deshmukh Et al.
Published: January 2024

The importance of Quality of Service (QoS) remains of utmost importance in the endeavor to provide high-quality network services.  This study focuses on the important area of Quality of Service (QoS) in network services. Specifically, it explores QoS-Aware Routing and Resource Allocation techniques, with a particular emphasis on Class-Based Weighted Fair Queuing (CBWFQ). Our research utilizes the NS-3 simulator to thoroughly assess network performance by analyzing crucial parameters such as latency, throughput, and reliability. We draw insights from the CAIDA Anonymized Internet Traces dataset. CBWFQ, an advanced queuing mechanism, is highlighted for its capability to intelligently categorize and prioritize network traffic into separate classes, each with customized weightings and resource guarantees. The outcomes derived from our experimentation demonstrate significant enhancements in latency, throughput, and reliability across various scenarios, confirming the efficacy of CBWFQ in optimizing resource allocation and guaranteeing superior QoS. This research not only tackles the immediate difficulties encountered by network administrators, but also provides valuable insights for service providers and researchers aiming to enhance network performance in the face of diverse traffic patterns. In addition, we propose potential areas for future investigation, including the examination of AI-driven QoS mechanisms and adaptable strategies that can effectively navigate the constantly changing network environments. The incorporation of QoS methodologies with cutting-edge technologies, such as 5G and future iterations, presents a promising opportunity to improve network management and performance in the upcoming era.
Intelligent Mechanisms for PdM in Automotive Machinery: A Comprehensive Analysis using ML/DL
Authors: Snehal A. Patil Et al.
Published: January 2024

Predictive maintenance (PdM) technique involves analyzing and utilizing data to identify problems before they happen. It can help prevent costly repairs and downtime. In the past few years, the use of intelligent tools for PdM in automotive machinery has been increasing. These tools can be used to analyze and collect data from various sources, such as cloud computing and sensors. In the prediction of failures, this data can be used in combination with machine learning algorithms. With the help of advanced technologies, such as machine learning and sensors, PdM has become a viable option to maintain machinery while minimizing costs and downtime. The paper presents a comprehensive analysis of the various components of the intelligent tools that are used for PdM. It starts by exploring the different kinds of sensors and their functions in monitoring the condition of the equipment. The paper then explores the synergistic relationship between machine learning and data analytics, demonstrating how these technologies can help identify potential issues, predict the remaining useful life of the equipment, and detect early anomalies. The paper reviews the literature on the use of intelligent tools and sensors for PdM in automotive machinery. It delves into the diverse kinds of mechanisms that have been employed for this type of PdM, the pros and cons of using such tools, as well as the possible directions in this domain. Despite the various challenges that have been presented, the potential of implementing intelligent tools in automotive machinery is still immense. They can help prevent equipment downtime and improve the safety and efficiency of the operations of the machinery. As the technology matures, we can expect the adoption of such mechanisms to increase. The report emphasizes the significant contribution of intelligent tools and sensors to the optimization of the maintenance schedules and the reduction of unplanned downtime in automotive machinery. The findings of this study provide a roadmap for practitioners, researchers, and industrial organizations looking to harness the potential of such mechanisms to guarantee the longevity of their assets.
Utilizing Multiple Strategies to Advance Equitable Implementation of Lung Cancer Screening: Implications of Varying Eligibility Criteria by Race and Ethnicity
Authors: Williams Randi M.
Published: January 2024

In 2013, lung cancer screening (lung screening) was recommended for high-risk individuals. The annual rate of lung screening has risen slowly, particularly among Black individuals. In part, this racial disparity resulted in expanded 2021 screening criteria. Methods: Survey data were used to: 1) describe the number of people screened in 2019, 2) compare the percent eligible for lung screening using the 2013 versus the 2021 guidelines, and 3) determine the percent eligible using more detailed criteria. Results: Lung screening rates increased in 2019, and the 2021 criteria will result in more individuals eligible for screening. Using additional criteria may identify more individuals eligible for lung screening. Conclusions: This presentation will discuss ways to include more individuals who may benefit from lung screening and other strategies that can improve screening rates in an equitable manner
Estimating the costs associated with community justice
Authors: Morgan Anthony , Brown Rick
Published: January 2024

A range of alternative justice models have been introduced to address the perceived weaknesses of traditional criminal justice processes. While the success of these alternative models is usually assessed in terms of outcomes such as reoffending, they often face scrutiny over the additional costs incurred by government. This paper is one of two AIC publications focused on the Neighbourhood Justice Centre (NJC) in the City of Yarra in Melbourne. It compares the operating costs of the NJC with more traditional court and service delivery models. The results show that there are areas in which the NJC appears to be more cost-efficient. What these results also show, perhaps unexpectedly, is that community justice models incur additional costs over and above those of normal magistrates’ courts. However, when read alongside the paper by Stuart Ross evaluating the impact of the NJC on order compliance and reoffending, it is apparent that this additional investment contributes to a number of important outcomes. Further work is necessary to determine whether the NJC is cost effective. Nevertheless, having access to data on the relative cost of community justice models like the NJC contributes to a more informed discussion around the cost implications for government.
Recent developments in DNA evidence
Authors: Smith Marcus , Mann Monique
Published: January 2024

In this paper, the authors describe recent developments in DNA technology. Key cases involving DNA evidence in Australia and overseas that occurred between 2003 and 2014 are used to illustrate the benefits and potential issues that can arise when new DNA techniques are applied to criminal investigations. Empirical data on the value of DNA evidence and DNA databases on investigative and court outcomes are outlined, demonstrating strong support for the value of DNA evidence to investigations and prosecutions. The techniques and applications for DNA evidence described here, and future developments, clearly have important implications for policymakers, practitioners and legislators. Equally, the Australian criminal justice system will need to continue to adapt to accommodate new developments in this field.
Parole in Western Australia: An analysis of parole cancellations of female offenders
Authors: Ferguson Catherine
Published: January 2024

The number of prisoners in Australian prisons has been increasing over the past decade. In Western Australia the number of female offenders has increased by 40 percent over the past five years. One contributing factor to this increase may be the re incarceration of parolees who have violated parole. This research used the publicly available decision documents from the Prisoners Review Board in Western Australia to investigate the background details of offences, and the details of the parole violations of 41 women released in 2013–14. Data revealed that a high proportion of women returned to prison after a very short time in the community as a result of illicit drug use. The high cost of re-incarceration is considered against a background of rehabilitation and extra support in the community that might assist released women negotiate their complex lives on release without resorting to further drug use. The paper includes a number of recommendations to consider in an effort to reduce the recidivism of female offenders.
Adult sex offenders in youth-oriented institutions: Evidence on sexual victimisation experiences of offenders and their offending patterns
Authors: Leclerc Benoit , Cale Jesse
Published: January 2024

There is significant interest in the issue of child sexual abuse committed in institutional settings. This study uses information collected from a sample of 23 convicted Canadian sex offenders to examine key elements of the offending. Issues explored include the nature of the offender’s involvement with institutions, their own prior sexual victimisation experiences, factors influencing the selection of victims and the locations where the sexual assaults occurred. Particularly telling was the length of time offenders spent at an institution prior to initiating the assaults and the potential to avert offending by reducing opportunities to offend, as well as the associated danger evident in allowing staff—without supervision—to transport children outside of an institutional setting, given the frequency of the assaults that occurred offsite.